新增接口文档与数据库脚本
This commit is contained in:
wty
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2a0bdc0068
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/*
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Navicat Premium Data Transfer
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Source Server : localdsd
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Source Server Type : PostgreSQL
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Source Server Version : 120012
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Source Host : localhost:5432
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Source Catalog : xiuosiot
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Source Schema : public
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Target Server Type : PostgreSQL
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Target Server Version : 120012
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File Encoding : 65001
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Date: 09/10/2022 19:19:20
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*/
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-- ----------------------------
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-- Table structure for alarm_info
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-- ----------------------------
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DROP TABLE IF EXISTS "public"."alarm_info";
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CREATE TABLE "public"."alarm_info" (
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"device_no" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
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"alarm_time" timestamp(6),
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"alarm_name" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
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"device_type" varchar(32) COLLATE "pg_catalog"."default",
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"alarm_status" int4,
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"alarm_level" int4,
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"alarm_res" varchar(255) COLLATE "pg_catalog"."default",
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"org" varchar(32) COLLATE "pg_catalog"."default"
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)
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;
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COMMENT ON COLUMN "public"."alarm_info"."device_no" IS '设备序列号';
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COMMENT ON COLUMN "public"."alarm_info"."alarm_time" IS '告警时间';
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COMMENT ON COLUMN "public"."alarm_info"."alarm_name" IS '告警名称';
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COMMENT ON COLUMN "public"."alarm_info"."device_type" IS '设备类型';
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COMMENT ON COLUMN "public"."alarm_info"."alarm_status" IS '告警状态 0已处理 1未处理';
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COMMENT ON COLUMN "public"."alarm_info"."alarm_level" IS '告警级别 0紧急 1重要 2次要 3提示';
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COMMENT ON COLUMN "public"."alarm_info"."alarm_res" IS '处理结果';
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COMMENT ON COLUMN "public"."alarm_info"."org" IS '所属公司';
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-- ----------------------------
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-- Records of alarm_info
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-- ----------------------------
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INSERT INTO "public"."alarm_info" VALUES ('A000001', '2022-09-24 15:45:59', '电量不足', 'M168-LoRa-FM100', 1, 0, NULL, 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000005', '2022-09-24 15:47:03', '温度过高', 'RV400-NPU16T-5G-AR100', 1, 1, NULL, 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000007', '2022-09-26 15:47:45', '甲醛过高', 'M168-LoRa-FM100', 0, 2, '已线下处理', 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000001', '2022-09-26 16:40:49', '电压过高', 'M168-LoRa-FM100', 1, 3, NULL, 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000010', '2022-09-26 16:42:23', '气压异常', 'RV400-4G-FR100', 1, 3, NULL, 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000008', '2022-09-26 16:41:25', '湿度过高', 'M528-A800-5G-HM100', 0, 3, '已线下查看处理', 'dsd');
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INSERT INTO "public"."alarm_info" VALUES ('A000015', '2022-10-09 19:08:04', '原料不足', 'RV400-NPU16T-5G-AR100', 1, 3, NULL, 'hxgg');
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INSERT INTO "public"."alarm_info" VALUES ('A000020', '2022-10-09 19:17:29', '出料速度异常', 'M528-A800-5G-HM100', 1, 2, NULL, 'hxgg');
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INSERT INTO "public"."alarm_info" VALUES ('A000013', '2022-10-09 19:05:59', '切割速度异常', 'RV400-NPU4T-5G-SR100', 1, 3, NULL, 'hxgg');
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INSERT INTO "public"."alarm_info" VALUES ('A000021', '2022-10-09 19:18:19', '进料速度异常', 'RV400-NPU16T-5G-AR100', 1, 2, '', 'hxgg');
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-- ----------------------------
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-- Primary Key structure for table alarm_info
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-- ----------------------------
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ALTER TABLE "public"."alarm_info" ADD CONSTRAINT "alern_info_pkey" PRIMARY KEY ("device_no", "alarm_name");
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/*
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Navicat Premium Data Transfer
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Source Server : 115.238.53.59
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Source Server Type : PostgreSQL
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Source Server Version : 120012
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Source Host : 115.238.53.59:5432
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Source Catalog : xiuosiot
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Source Schema : public
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Target Server Type : PostgreSQL
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Target Server Version : 120012
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File Encoding : 65001
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Date: 01/11/2022 17:47:21
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*/
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DROP SEQUENCE IF EXISTS "public"."seq_alarm_rule";
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CREATE SEQUENCE "public"."seq_alarm_rule"
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INCREMENT 1
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MINVALUE 1
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MAXVALUE 2147483647
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START 1
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CACHE 1;
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ALTER SEQUENCE "public"."seq_alarm_rule" OWNER TO "xiuosiot";
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-- ----------------------------
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-- Table structure for alarm_rule
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-- ----------------------------
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DROP TABLE IF EXISTS "public"."alarm_rule";
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CREATE TABLE "public"."alarm_rule" (
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"id" int4 NOT NULL DEFAULT nextval('seq_alarm_rule'::regclass),
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"alarm_name" varchar(64) COLLATE "pg_catalog"."default",
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"alarm_level" int4,
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"device_no" varchar(32) COLLATE "pg_catalog"."default",
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"alarm_sql" varchar(500) COLLATE "pg_catalog"."default",
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"rule_status" int4,
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"notice_type" varchar(32) COLLATE "pg_catalog"."default",
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"notice_content" varchar(255) COLLATE "pg_catalog"."default",
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"org" varchar(32) COLLATE "pg_catalog"."default"
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)
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;
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COMMENT ON COLUMN "public"."alarm_rule"."alarm_name" IS '告警名称';
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COMMENT ON COLUMN "public"."alarm_rule"."alarm_level" IS '告警级别 0紧急 1重要 2次要 3提示';
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COMMENT ON COLUMN "public"."alarm_rule"."device_no" IS '设备编号';
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COMMENT ON COLUMN "public"."alarm_rule"."alarm_sql" IS '告警条件';
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COMMENT ON COLUMN "public"."alarm_rule"."rule_status" IS '规则状态0 停止 1启动';
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COMMENT ON COLUMN "public"."alarm_rule"."notice_type" IS '推送方式';
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COMMENT ON COLUMN "public"."alarm_rule"."notice_content" IS '推送内容';
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COMMENT ON COLUMN "public"."alarm_rule"."org" IS '所属公司';
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-- ----------------------------
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-- Primary Key structure for table alarm_rule
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-- ----------------------------
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ALTER TABLE "public"."alarm_rule" ADD CONSTRAINT "alarm_rule_pkey" PRIMARY KEY ("id");
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/*
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Navicat Premium Data Transfer
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Source Server : localdsd
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Source Server Type : PostgreSQL
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Source Server Version : 120012
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Source Host : localhost:5432
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Source Catalog : xiuosiot
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Source Schema : public
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Target Server Type : PostgreSQL
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Target Server Version : 120012
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File Encoding : 65001
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Date: 16/09/2022 14:54:03
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*/
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DROP SEQUENCE IF EXISTS "public"."seq_avg_day_data";
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CREATE SEQUENCE "public"."seq_avg_day_data"
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INCREMENT 1
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MINVALUE 1
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MAXVALUE 2147483647
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START 330
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CACHE 1;
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ALTER SEQUENCE "public"."seq_avg_day_data" OWNER TO "xiuosiot";
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-- ----------------------------
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-- Table structure for avg_day_data
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-- ----------------------------
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DROP TABLE IF EXISTS "public"."avg_day_data";
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CREATE TABLE "public"."avg_day_data" (
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"id" int4 NOT NULL DEFAULT nextval('seq_avg_day_data'::regclass),
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"windspeed" numeric(32,2),
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"noise" numeric(32,2),
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"methanal" numeric(32,2),
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"pm1d0" numeric(32,2),
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"pm2d5" numeric(32,2),
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"pm10" numeric(32,2),
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"so2" numeric(32,2),
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"temperature" numeric(32,2),
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"humidness" numeric(32,2),
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"co2" numeric(32,2),
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"airpressure" numeric(32,2),
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"tvoc" numeric(32,2),
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"ethanol" numeric(32,2),
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"methane" numeric(32,2),
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"datatime" timestamp(0)
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)
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;
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COMMENT ON COLUMN "public"."avg_day_data"."id" IS 'id+设备编号';
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COMMENT ON COLUMN "public"."avg_day_data"."windspeed" IS '风速';
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COMMENT ON COLUMN "public"."avg_day_data"."noise" IS '噪声';
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COMMENT ON COLUMN "public"."avg_day_data"."methanal" IS '甲醛';
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COMMENT ON COLUMN "public"."avg_day_data"."pm1d0" IS 'pm1.0';
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COMMENT ON COLUMN "public"."avg_day_data"."pm2d5" IS 'pm2.5';
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COMMENT ON COLUMN "public"."avg_day_data"."pm10" IS 'pm10';
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COMMENT ON COLUMN "public"."avg_day_data"."so2" IS 'so2';
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COMMENT ON COLUMN "public"."avg_day_data"."temperature" IS '温度';
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COMMENT ON COLUMN "public"."avg_day_data"."humidness" IS '湿度';
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COMMENT ON COLUMN "public"."avg_day_data"."co2" IS 'co2';
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COMMENT ON COLUMN "public"."avg_day_data"."airpressure" IS '气压';
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COMMENT ON COLUMN "public"."avg_day_data"."tvoc" IS 'tvoc';
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COMMENT ON COLUMN "public"."avg_day_data"."ethanol" IS '乙醇';
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COMMENT ON COLUMN "public"."avg_day_data"."methane" IS '甲烷';
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COMMENT ON COLUMN "public"."avg_day_data"."datatime" IS '数据时间';
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-- ----------------------------
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-- Records of avg_day_data
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-- ----------------------------
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INSERT INTO "public"."avg_day_data" VALUES (0, 0.00, 98.00, 40.00, 6.00, 10.00, 3.00, 29.00, 38.00, 31.00, 99.00, 118.00, 30.00, 3.00, 1.00, '2022-09-08 18:09:00');
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INSERT INTO "public"."avg_day_data" VALUES (3, 2.00, 87.00, 80.00, 9.00, 0.00, 6.00, 67.00, 27.00, 68.00, 97.00, 117.00, 89.00, 2.00, 5.00, '2022-09-08 18:30:00');
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INSERT INTO "public"."avg_day_data" VALUES (4, 3.00, 30.00, 94.00, 3.00, 19.00, 33.00, 62.00, 21.00, 48.00, 87.00, 85.00, 15.00, 12.00, 9.00, '2022-09-08 18:35:00');
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INSERT INTO "public"."avg_day_data" VALUES (5, 1.00, 34.00, 55.00, 18.00, 13.00, 2.00, 17.00, 24.00, 43.00, 91.00, 109.00, 62.00, 4.00, 3.00, '2022-09-08 18:40:00');
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INSERT INTO "public"."avg_day_data" VALUES (6, 1.00, 38.00, 84.00, 7.00, 12.00, 26.00, 27.00, 25.00, 34.00, 85.00, 108.00, 54.00, 3.00, 7.00, '2022-09-08 18:45:00');
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INSERT INTO "public"."avg_day_data" VALUES (7, 0.00, 61.00, 46.00, 9.00, 4.00, 37.00, 84.00, 26.00, 48.00, 83.00, 109.00, 29.00, 18.00, 6.00, '2022-09-08 18:50:00');
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INSERT INTO "public"."avg_day_data" VALUES (8, 2.00, 60.00, 25.00, 10.00, 14.00, 24.00, 68.00, 25.00, 56.00, 94.00, 84.00, 22.00, 8.00, 3.00, '2022-09-08 18:55:00');
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INSERT INTO "public"."avg_day_data" VALUES (9, 2.00, 36.00, 53.00, 7.00, 4.00, 5.00, 74.00, 28.00, 33.00, 86.00, 81.00, 18.00, 0.00, 6.00, '2022-09-08 19:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (10, 1.00, 95.00, 67.00, 2.00, 13.00, 28.00, 81.00, 21.00, 53.00, 98.00, 94.00, 38.00, 14.00, 0.00, '2022-09-08 19:05:00');
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INSERT INTO "public"."avg_day_data" VALUES (11, 2.00, 49.00, 8.00, 14.00, 11.00, 18.00, 43.00, 21.00, 38.00, 90.00, 107.00, 96.00, 0.00, 10.00, '2022-09-08 19:10:00');
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INSERT INTO "public"."avg_day_data" VALUES (12, 2.00, 57.00, 46.00, 18.00, 3.00, 12.00, 29.00, 24.00, 54.00, 89.00, 88.00, 48.00, 14.00, 4.00, '2022-09-08 19:15:00');
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INSERT INTO "public"."avg_day_data" VALUES (13, 1.00, 70.00, 21.00, 17.00, 15.00, 31.00, 33.00, 23.00, 44.00, 85.00, 86.00, 82.00, 4.00, 0.00, '2022-09-08 19:20:00');
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INSERT INTO "public"."avg_day_data" VALUES (14, 1.00, 70.00, 9.00, 8.00, 14.00, 25.00, 56.00, 23.00, 47.00, 85.00, 114.00, 36.00, 15.00, 8.00, '2022-09-08 19:25:00');
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INSERT INTO "public"."avg_day_data" VALUES (15, 0.00, 61.00, 33.00, 18.00, 7.00, 17.00, 5.00, 21.00, 36.00, 95.00, 89.00, 91.00, 16.00, 8.00, '2022-09-08 19:30:00');
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INSERT INTO "public"."avg_day_data" VALUES (16, 1.00, 52.00, 22.00, 5.00, 13.00, 9.00, 17.00, 25.00, 49.00, 98.00, 106.00, 9.00, 9.00, 9.00, '2022-09-08 19:35:00');
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INSERT INTO "public"."avg_day_data" VALUES (17, 2.00, 38.00, 32.00, 7.00, 19.00, 16.00, 56.00, 26.00, 60.00, 85.00, 110.00, 91.00, 2.00, 4.00, '2022-09-08 19:40:00');
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INSERT INTO "public"."avg_day_data" VALUES (18, 1.00, 49.00, 65.00, 3.00, 11.00, 19.00, 34.00, 26.00, 35.00, 98.00, 108.00, 19.00, 20.00, 1.00, '2022-09-08 19:45:00');
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INSERT INTO "public"."avg_day_data" VALUES (19, 1.00, 44.00, 9.00, 11.00, 4.00, 12.00, 41.00, 29.00, 31.00, 80.00, 118.00, 6.00, 2.00, 3.00, '2022-09-08 19:50:00');
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INSERT INTO "public"."avg_day_data" VALUES (20, 2.00, 89.00, 49.00, 18.00, 11.00, 11.00, 30.00, 22.00, 61.00, 84.00, 103.00, 10.00, 8.00, 8.00, '2022-09-08 19:55:00');
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INSERT INTO "public"."avg_day_data" VALUES (21, 2.00, 40.00, 89.00, 18.00, 11.00, 27.00, 30.00, 24.00, 37.00, 80.00, 106.00, 90.00, 14.00, 4.00, '2022-09-08 20:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (22, 1.00, 49.00, 69.00, 19.00, 10.00, 21.00, 82.00, 20.00, 36.00, 98.00, 93.00, 85.00, 7.00, 9.00, '2022-09-08 20:05:00');
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INSERT INTO "public"."avg_day_data" VALUES (23, 1.00, 48.00, 70.00, 0.00, 10.00, 2.00, 27.00, 28.00, 41.00, 90.00, 80.00, 97.00, 16.00, 1.00, '2022-09-08 20:10:00');
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INSERT INTO "public"."avg_day_data" VALUES (24, 1.00, 66.00, 46.00, 8.00, 10.00, 27.00, 27.00, 20.00, 62.00, 100.00, 121.00, 65.00, 0.00, 4.00, '2022-09-08 20:15:00');
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INSERT INTO "public"."avg_day_data" VALUES (25, 1.00, 79.00, 73.00, 19.00, 13.00, 32.00, 22.00, 21.00, 56.00, 90.00, 115.00, 55.00, 14.00, 9.00, '2022-09-08 20:20:00');
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INSERT INTO "public"."avg_day_data" VALUES (26, 1.00, 56.00, 46.00, 11.00, 3.00, 13.00, 16.00, 21.00, 32.00, 98.00, 80.00, 42.00, 9.00, 4.00, '2022-09-08 20:25:00');
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INSERT INTO "public"."avg_day_data" VALUES (27, 2.00, 101.00, 9.00, 6.00, 9.00, 19.00, 23.00, 27.00, 59.00, 87.00, 94.00, 40.00, 10.00, 6.00, '2022-09-08 21:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (28, 2.00, 93.00, 66.00, 13.00, 13.00, 29.00, 13.00, 29.00, 37.00, 95.00, 118.00, 53.00, 11.00, 2.00, '2022-09-08 22:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (29, 2.00, 80.00, 44.00, 10.00, 8.00, 10.00, 9.00, 23.00, 68.00, 91.00, 116.00, 21.00, 7.00, 9.00, '2022-09-08 23:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (30, 1.00, 72.00, 30.00, 8.00, 3.00, 1.00, 12.00, 20.00, 47.00, 87.00, 97.00, 33.00, 13.00, 7.00, '2022-09-09 00:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (31, 2.00, 49.00, 17.00, 16.00, 15.00, 36.00, 28.00, 29.00, 33.00, 89.00, 110.00, 63.00, 4.00, 7.00, '2022-09-09 01:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (32, 1.00, 94.00, 69.00, 16.00, 15.00, 21.00, 2.00, 25.00, 31.00, 96.00, 109.00, 79.00, 2.00, 6.00, '2022-09-09 02:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (33, 0.00, 44.00, 80.00, 14.00, 15.00, 7.00, 10.00, 22.00, 63.00, 87.00, 100.00, 54.00, 14.00, 0.00, '2022-09-09 03:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (34, 2.00, 32.00, 11.00, 14.00, 15.00, 22.00, 18.00, 20.00, 60.00, 82.00, 94.00, 51.00, 2.00, 6.00, '2022-09-09 04:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (35, 1.00, 48.00, 4.00, 6.00, 13.00, 3.00, 1.00, 25.00, 52.00, 99.00, 87.00, 51.00, 4.00, 9.00, '2022-09-09 05:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (36, 1.00, 72.00, 9.00, 15.00, 19.00, 29.00, 19.00, 23.00, 66.00, 80.00, 104.00, 41.00, 13.00, 9.00, '2022-09-09 06:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (37, 2.00, 99.00, 65.00, 12.00, 1.00, 33.00, 1.00, 24.00, 49.00, 81.00, 81.00, 28.00, 7.00, 8.00, '2022-09-09 07:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (38, 2.00, 47.00, 84.00, 3.00, 5.00, 12.00, 2.00, 28.00, 61.00, 88.00, 110.00, 42.00, 2.00, 3.00, '2022-09-09 08:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (39, 1.00, 73.00, 46.00, 8.00, 4.00, 38.00, 15.00, 28.00, 57.00, 93.00, 93.00, 76.00, 18.00, 4.00, '2022-09-09 09:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (40, 1.00, 30.00, 0.00, 20.00, 11.00, 24.00, 27.00, 23.00, 35.00, 91.00, 111.00, 37.00, 16.00, 7.00, '2022-09-09 10:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (41, 2.00, 67.00, 44.00, 14.00, 12.00, 37.00, 21.00, 21.00, 67.00, 92.00, 84.00, 37.00, 13.00, 1.00, '2022-09-09 11:00:00');
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INSERT INTO "public"."avg_day_data" VALUES (42, 1.00, 93.00, 52.00, 12.00, 3.00, 4.00, 29.00, 23.00, 42.00, 84.00, 84.00, 35.00, 1.00, 5.00, '2022-09-09 12:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (43, 1.00, 85.00, 57.00, 13.00, 3.00, 11.00, 2.00, 23.00, 60.00, 82.00, 105.00, 36.00, 6.00, 6.00, '2022-09-09 13:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (44, 3.00, 40.00, 89.00, 2.00, 15.00, 2.00, 18.00, 25.00, 47.00, 99.00, 116.00, 31.00, 3.00, 10.00, '2022-09-09 14:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (45, 2.00, 83.00, 74.00, 19.00, 19.00, 14.00, 0.00, 21.00, 31.00, 99.00, 95.00, 54.00, 11.00, 2.00, '2022-09-14 14:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (46, 1.00, 91.00, 3.00, 0.00, 17.00, 17.00, 24.00, 26.00, 42.00, 88.00, 96.00, 57.00, 7.00, 3.00, '2022-09-14 14:59:57');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (47, 0.00, 88.00, 68.00, 19.00, 9.00, 23.00, 16.00, 27.00, 57.00, 95.00, 114.00, 25.00, 1.00, 5.00, '2022-09-14 16:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (48, 2.00, 42.00, 20.00, 3.00, 19.00, 38.00, 29.00, 26.00, 64.00, 87.00, 119.00, 28.00, 19.00, 9.00, '2022-09-14 17:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (49, 3.00, 35.00, 90.00, 7.00, 1.00, 14.00, 29.00, 29.00, 45.00, 97.00, 118.00, 37.00, 3.00, 11.00, '2022-09-15 11:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (50, 1.00, 92.00, 65.00, 9.00, 12.00, 34.00, 0.00, 27.00, 44.00, 93.00, 114.00, 62.00, 1.00, 1.00, '2022-09-15 12:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (51, 2.00, 46.00, 14.00, 8.00, 0.00, 12.00, 24.00, 28.00, 65.00, 95.00, 98.00, 28.00, 1.00, 2.00, '2022-09-15 13:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (52, 3.00, 95.00, 66.00, 18.00, 14.00, 5.00, 10.00, 26.00, 63.00, 82.00, 112.00, 70.00, 14.00, 11.00, '2022-09-15 14:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (53, 2.00, 84.00, 21.00, 3.00, 6.00, 9.00, 5.00, 29.00, 31.00, 88.00, 96.00, 52.00, 19.00, 3.00, '2022-09-15 15:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (54, 1.00, 97.00, 35.00, 2.00, 18.00, 2.00, 26.00, 23.00, 49.00, 83.00, 95.00, 29.00, 1.00, 6.00, '2022-09-15 16:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (55, 2.00, 35.00, 36.00, 10.00, 16.00, 27.00, 14.00, 25.00, 49.00, 83.00, 89.00, 69.00, 4.00, 0.00, '2022-09-15 17:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (56, 2.00, 32.00, 32.00, 7.00, 9.00, 35.00, 8.00, 29.00, 43.00, 80.00, 107.00, 33.00, 14.00, 9.00, '2022-09-15 18:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (57, 3.00, 78.00, 19.00, 14.00, 16.00, 30.00, 11.00, 23.00, 34.00, 84.00, 82.00, 65.00, 8.00, 4.00, '2022-09-15 19:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (58, 2.00, 63.00, 14.00, 3.00, 11.00, 6.00, 28.00, 27.00, 31.00, 93.00, 99.00, 59.00, 17.00, 7.00, '2022-09-15 20:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (59, 3.00, 72.00, 2.00, 10.00, 8.00, 1.00, 3.00, 23.00, 60.00, 83.00, 99.00, 45.00, 14.00, 8.00, '2022-09-16 10:24:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (60, 1.00, 44.00, 101.00, 18.00, 11.00, 36.00, 11.00, 25.00, 44.00, 98.00, 106.00, 24.00, 0.00, 8.00, '2022-09-16 10:25:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (61, 1.00, 80.00, 22.00, 1.00, 7.00, 36.00, 5.00, 25.00, 69.00, 80.00, 82.00, 57.00, 7.00, 2.00, '2022-09-16 10:26:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (62, 0.02, 90.24, 15.56, 8.92, 18.13, 9.72, 15.74, 28.62, 53.77, 84.44, 113.99, 55.84, 17.22, 3.22, '2022-09-16 10:27:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (63, 1.19, 58.52, 81.47, 2.00, 9.46, 32.49, 16.16, 21.22, 45.37, 98.18, 114.70, 53.14, 18.16, 10.52, '2022-09-16 10:28:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (64, 0.51, 60.66, 59.80, 10.99, 8.67, 13.70, 12.94, 21.59, 44.36, 84.96, 82.57, 33.85, 12.39, 4.28, '2022-09-16 10:29:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (65, 0.20, 53.79, 59.20, 12.03, 6.55, 13.96, 20.58, 24.10, 33.29, 95.92, 119.42, 25.38, 8.29, 9.42, '2022-09-16 10:30:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (66, 0.90, 67.36, 36.18, 19.58, 4.20, 39.25, 11.82, 24.20, 44.16, 94.82, 104.66, 48.10, 13.13, 4.49, '2022-09-16 10:31:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (67, 0.44, 92.00, 39.31, 18.08, 12.46, 20.13, 13.14, 28.48, 63.47, 99.36, 109.09, 55.54, 2.08, 0.72, '2022-09-16 10:32:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (68, 1.72, 73.72, 49.99, 4.90, 11.87, 30.55, 27.65, 22.35, 59.65, 81.74, 85.33, 47.37, 10.12, 10.20, '2022-09-16 10:33:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (69, 0.35, 72.29, 72.57, 5.58, 9.37, 34.81, 26.22, 27.69, 45.00, 93.66, 104.46, 49.47, 20.89, 6.55, '2022-09-16 10:34:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (70, 2.75, 73.88, 38.33, 9.71, 13.77, 37.40, 25.50, 27.48, 38.41, 95.30, 100.28, 56.74, 8.28, 4.93, '2022-09-16 10:35:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (71, 1.63, 76.25, 56.89, 0.21, 19.31, 36.18, 28.52, 20.43, 58.79, 84.75, 80.47, 69.37, 5.49, 10.83, '2022-09-16 10:36:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (72, 0.24, 66.04, 98.98, 13.27, 16.11, 15.04, 3.58, 29.78, 60.00, 81.92, 86.11, 72.87, 13.29, 7.93, '2022-09-16 10:37:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (73, 2.77, 77.79, 97.93, 15.59, 8.82, 39.97, 8.60, 21.98, 55.92, 93.07, 100.09, 70.46, 20.86, 9.22, '2022-09-16 10:38:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (74, 1.78, 47.21, 56.40, 18.84, 9.20, 23.84, 15.24, 25.03, 63.04, 87.03, 95.83, 69.03, 0.44, 0.03, '2022-09-16 10:39:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (75, 2.49, 60.42, 35.48, 3.78, 1.42, 4.93, 1.69, 20.23, 59.96, 95.01, 103.19, 20.33, 9.61, 6.83, '2022-09-16 10:40:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (76, 2.49, 99.42, 84.95, 11.34, 11.25, 23.08, 9.28, 20.88, 39.40, 96.53, 80.98, 65.86, 6.72, 2.60, '2022-09-16 10:41:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (77, 1.72, 60.65, 85.78, 4.36, 15.65, 17.29, 21.40, 21.85, 64.06, 96.16, 85.94, 76.17, 17.85, 0.09, '2022-09-16 10:42:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (78, 0.81, 92.69, 0.98, 12.39, 11.26, 18.00, 12.25, 28.29, 43.87, 87.99, 86.75, 58.53, 9.88, 3.96, '2022-09-16 10:43:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (79, 2.26, 86.03, 9.01, 18.83, 11.07, 32.48, 5.82, 22.13, 39.03, 98.44, 120.89, 62.30, 5.12, 10.25, '2022-09-16 10:44:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (80, 1.77, 54.90, 9.15, 16.68, 15.82, 15.06, 18.88, 27.50, 62.87, 95.70, 85.03, 48.37, 3.64, 1.68, '2022-09-16 10:45:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (81, 2.65, 71.16, 50.25, 6.58, 4.17, 35.69, 22.58, 28.28, 39.16, 83.96, 114.15, 53.13, 0.82, 0.86, '2022-09-16 10:46:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (82, 1.43, 57.19, 57.99, 18.31, 19.80, 9.53, 5.75, 21.86, 53.05, 87.45, 101.94, 76.84, 4.52, 9.90, '2022-09-16 10:47:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (83, 1.06, 31.41, 78.89, 14.53, 18.57, 17.54, 12.61, 22.14, 38.34, 90.82, 98.30, 47.49, 11.32, 7.34, '2022-09-16 10:48:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (84, 1.07, 83.93, 0.56, 14.08, 12.61, 2.48, 13.65, 28.52, 38.12, 80.64, 107.43, 74.28, 5.33, 2.34, '2022-09-16 10:49:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (85, 0.11, 39.34, 17.15, 4.24, 0.31, 18.30, 7.89, 28.67, 57.57, 88.78, 87.61, 64.55, 17.68, 6.37, '2022-09-16 10:50:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (86, 1.91, 34.63, 62.67, 0.14, 6.77, 3.37, 4.89, 29.88, 53.84, 96.31, 102.47, 50.18, 18.54, 2.26, '2022-09-16 10:51:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (87, 1.74, 77.55, 37.27, 10.55, 14.69, 29.79, 8.82, 22.17, 50.89, 91.95, 108.65, 64.35, 8.13, 4.42, '2022-09-16 10:52:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (88, 0.87, 90.06, 72.38, 2.71, 18.92, 11.42, 29.19, 26.83, 55.79, 82.25, 107.70, 29.26, 8.27, 10.47, '2022-09-16 10:53:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (89, 1.35, 95.93, 49.13, 1.21, 18.12, 13.74, 4.30, 23.29, 69.40, 93.60, 99.21, 59.84, 9.28, 8.31, '2022-09-16 10:54:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (90, 0.06, 85.59, 93.42, 15.85, 16.56, 3.64, 5.22, 26.30, 37.72, 82.36, 104.97, 59.82, 5.65, 0.33, '2022-09-16 10:55:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (91, 1.39, 81.75, 65.07, 13.17, 17.09, 16.33, 28.90, 24.57, 36.28, 80.16, 108.93, 46.46, 10.87, 7.94, '2022-09-16 10:56:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (92, 1.44, 53.16, 43.72, 13.79, 3.17, 26.03, 20.74, 23.96, 62.29, 81.70, 92.03, 77.60, 0.05, 10.17, '2022-09-16 10:57:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (93, 0.81, 54.64, 98.85, 3.51, 1.49, 34.79, 6.84, 21.02, 50.94, 82.56, 111.83, 24.50, 6.86, 2.47, '2022-09-16 10:58:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (94, 1.23, 85.23, 87.26, 15.07, 2.14, 28.17, 20.96, 25.84, 67.82, 86.08, 95.26, 50.01, 10.22, 5.93, '2022-09-16 10:59:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (95, 0.47, 66.26, 96.57, 2.44, 18.96, 39.37, 12.97, 22.35, 49.44, 86.57, 100.35, 29.30, 2.49, 6.49, '2022-09-16 11:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (96, 0.10, 52.27, 94.29, 2.90, 19.71, 18.85, 29.17, 27.86, 66.72, 82.62, 95.17, 21.85, 9.43, 8.27, '2022-09-16 11:01:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (97, 2.03, 79.78, 68.44, 1.47, 10.03, 9.51, 7.82, 26.58, 35.20, 89.42, 107.15, 62.75, 5.70, 5.91, '2022-09-16 11:02:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (98, 2.50, 97.45, 53.77, 0.92, 9.60, 13.52, 26.93, 22.86, 52.23, 96.72, 88.85, 61.68, 16.98, 10.80, '2022-09-16 11:03:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (99, 1.15, 40.19, 80.17, 14.89, 14.13, 29.96, 3.54, 29.36, 31.28, 80.87, 81.35, 64.04, 20.08, 4.39, '2022-09-16 11:04:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (100, 1.79, 97.95, 75.02, 14.60, 1.49, 36.85, 22.57, 25.10, 30.63, 96.83, 89.47, 72.72, 19.35, 1.68, '2022-09-16 11:05:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (101, 0.57, 49.47, 4.87, 11.68, 13.79, 34.63, 12.18, 26.87, 40.23, 96.81, 105.57, 44.16, 17.41, 9.06, '2022-09-16 11:06:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (102, 1.10, 78.70, 81.51, 5.35, 13.40, 20.71, 8.08, 23.81, 50.36, 84.76, 105.10, 78.48, 6.96, 3.47, '2022-09-16 11:07:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (103, 0.52, 78.84, 90.83, 2.60, 18.31, 14.03, 25.55, 24.22, 46.72, 97.95, 109.28, 49.91, 3.27, 3.00, '2022-09-16 11:08:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (104, 2.06, 33.85, 14.97, 18.18, 11.08, 39.62, 3.53, 21.27, 55.88, 97.83, 110.24, 28.85, 19.62, 10.63, '2022-09-16 11:09:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (105, 0.79, 70.79, 55.03, 18.43, 13.56, 14.89, 11.40, 23.17, 49.67, 91.63, 110.73, 62.94, 2.32, 0.75, '2022-09-16 11:10:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (106, 1.70, 59.83, 17.47, 7.83, 0.45, 15.02, 6.86, 29.10, 47.26, 81.91, 119.32, 60.68, 16.89, 5.81, '2022-09-16 11:11:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (107, 2.67, 54.17, 78.27, 10.59, 17.41, 13.21, 4.42, 26.73, 52.00, 84.39, 109.79, 32.98, 14.02, 1.86, '2022-09-16 11:12:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (108, 0.20, 75.86, 20.87, 16.61, 0.24, 31.22, 1.49, 27.55, 44.70, 80.24, 117.63, 56.16, 5.69, 5.96, '2022-09-16 11:13:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (109, 0.54, 94.70, 55.52, 5.88, 13.63, 27.56, 17.99, 25.15, 48.44, 93.97, 82.65, 67.94, 13.63, 5.49, '2022-09-16 11:14:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (110, 2.99, 93.85, 60.94, 10.65, 13.61, 25.46, 10.02, 25.43, 64.58, 85.30, 83.01, 43.03, 20.13, 3.76, '2022-09-16 11:15:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (111, 2.96, 88.12, 6.96, 11.87, 14.87, 20.20, 27.28, 29.19, 57.08, 99.69, 93.59, 76.29, 15.66, 10.08, '2022-09-16 11:16:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (112, 0.15, 78.95, 73.22, 4.06, 0.83, 21.33, 28.86, 23.66, 60.58, 99.16, 100.46, 50.04, 13.86, 10.08, '2022-09-16 11:17:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (113, 2.37, 82.67, 34.57, 0.38, 8.41, 16.28, 6.78, 25.15, 66.74, 90.25, 99.22, 66.27, 14.44, 3.78, '2022-09-16 11:18:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (114, 2.77, 87.61, 78.98, 13.35, 4.48, 17.00, 4.39, 22.95, 35.66, 83.60, 102.00, 21.81, 7.98, 8.80, '2022-09-16 11:19:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (115, 0.90, 76.09, 36.53, 0.69, 11.59, 15.50, 29.70, 21.63, 56.47, 93.91, 107.94, 67.63, 12.42, 4.84, '2022-09-16 11:20:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (116, 1.40, 31.76, 61.74, 9.64, 7.00, 15.94, 28.57, 24.64, 55.87, 89.99, 109.77, 78.55, 10.46, 10.46, '2022-09-16 11:21:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (117, 2.52, 43.15, 13.47, 14.57, 1.24, 21.09, 5.43, 25.04, 41.59, 92.62, 109.70, 73.15, 10.76, 9.96, '2022-09-16 11:22:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (118, 0.41, 52.68, 15.32, 15.84, 1.55, 25.41, 17.87, 29.86, 41.81, 94.98, 101.23, 54.42, 12.89, 8.01, '2022-09-16 11:23:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (119, 0.40, 71.58, 66.07, 8.68, 7.94, 39.91, 16.33, 25.05, 62.03, 80.84, 93.13, 76.65, 1.66, 10.80, '2022-09-16 11:24:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (120, 0.09, 84.38, 85.60, 17.97, 1.79, 30.61, 29.48, 26.17, 45.01, 81.25, 87.22, 40.34, 3.22, 9.39, '2022-09-16 11:25:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (121, 1.92, 44.50, 69.55, 19.07, 17.30, 33.17, 19.74, 25.57, 32.78, 97.83, 95.50, 41.59, 9.17, 9.01, '2022-09-16 11:26:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (122, 1.52, 51.86, 64.20, 4.39, 6.87, 17.46, 12.73, 27.21, 40.90, 98.42, 115.41, 75.30, 11.90, 4.06, '2022-09-16 11:27:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (123, 0.42, 82.00, 74.44, 5.98, 19.71, 10.06, 21.42, 29.20, 54.41, 98.12, 115.86, 61.77, 13.54, 2.77, '2022-09-16 11:28:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (124, 0.90, 88.88, 43.83, 15.02, 15.63, 37.12, 28.68, 23.46, 33.85, 88.37, 88.32, 79.13, 12.74, 9.65, '2022-09-16 11:29:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (125, 1.10, 41.93, 90.56, 17.16, 6.49, 11.75, 5.85, 23.27, 34.81, 83.91, 115.23, 73.69, 8.73, 9.44, '2022-09-16 11:30:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (126, 2.04, 36.31, 93.78, 1.50, 19.97, 21.81, 26.67, 25.10, 30.75, 87.66, 110.89, 67.19, 18.34, 7.33, '2022-09-16 11:31:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (127, 1.26, 77.05, 87.59, 15.66, 13.31, 10.93, 12.25, 24.29, 30.11, 96.78, 94.21, 25.18, 3.94, 2.01, '2022-09-16 11:32:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (128, 1.56, 57.64, 31.65, 5.22, 7.35, 35.95, 29.60, 25.81, 57.50, 99.55, 118.30, 55.73, 20.72, 7.35, '2022-09-16 11:33:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (129, 2.40, 35.52, 79.93, 4.51, 18.63, 26.05, 29.44, 20.02, 37.15, 93.56, 81.04, 41.89, 20.20, 7.97, '2022-09-16 11:34:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (130, 1.13, 99.07, 76.94, 10.24, 12.82, 18.73, 26.62, 26.59, 49.87, 84.75, 102.29, 30.80, 8.64, 9.92, '2022-09-16 11:35:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (131, 1.93, 61.17, 97.57, 13.85, 4.28, 35.03, 19.69, 25.88, 54.48, 88.14, 83.62, 44.19, 3.80, 1.95, '2022-09-16 11:36:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (132, 1.01, 64.54, 78.78, 3.69, 3.74, 31.96, 27.63, 28.42, 52.54, 95.27, 90.04, 27.06, 0.41, 10.82, '2022-09-16 11:37:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (133, 0.22, 92.53, 55.26, 1.96, 4.36, 33.38, 27.31, 25.95, 37.13, 81.08, 85.46, 56.40, 6.82, 10.72, '2022-09-16 11:38:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (134, 1.72, 39.49, 50.61, 2.75, 19.69, 28.70, 8.99, 24.76, 41.72, 98.09, 93.91, 50.57, 16.82, 6.46, '2022-09-16 11:39:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (135, 1.38, 36.07, 75.61, 15.47, 14.03, 33.76, 7.47, 28.77, 60.16, 98.08, 88.05, 66.23, 6.22, 6.22, '2022-09-16 11:40:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (136, 0.55, 81.39, 63.93, 17.23, 19.72, 39.26, 5.38, 26.13, 44.72, 83.66, 115.41, 56.68, 7.43, 8.59, '2022-09-16 11:41:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (137, 2.08, 92.40, 26.11, 16.94, 1.56, 10.78, 26.15, 20.45, 68.04, 85.09, 108.44, 79.64, 2.11, 5.18, '2022-09-16 11:42:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (138, 2.33, 74.90, 27.05, 11.81, 14.53, 3.25, 28.78, 25.06, 30.41, 90.32, 88.86, 23.95, 19.81, 7.79, '2022-09-16 11:43:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (139, 2.70, 88.11, 18.47, 5.54, 10.50, 34.15, 15.16, 22.56, 58.60, 91.12, 81.32, 70.56, 9.91, 2.27, '2022-09-16 11:44:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (140, 1.44, 47.36, 47.91, 1.30, 8.68, 14.98, 10.02, 20.92, 56.42, 86.31, 120.89, 71.74, 8.01, 8.65, '2022-09-16 11:45:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (141, 1.59, 43.24, 12.89, 8.95, 16.34, 3.64, 3.29, 20.22, 45.38, 91.53, 105.31, 38.43, 0.47, 10.09, '2022-09-16 11:46:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (142, 1.77, 42.44, 12.56, 4.79, 9.17, 37.84, 29.10, 29.71, 67.49, 97.61, 119.46, 26.48, 8.98, 6.01, '2022-09-16 11:47:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (143, 1.27, 32.38, 62.10, 1.33, 12.92, 13.90, 11.56, 28.28, 35.75, 86.73, 97.23, 24.57, 20.92, 6.01, '2022-09-16 11:48:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (144, 0.95, 54.17, 63.28, 10.29, 19.54, 14.66, 10.33, 29.69, 37.31, 86.93, 90.31, 41.39, 4.09, 8.72, '2022-09-16 11:49:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (145, 2.80, 34.67, 38.42, 14.31, 11.68, 16.30, 20.74, 25.72, 50.29, 88.65, 106.75, 73.14, 13.60, 5.99, '2022-09-16 11:50:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (146, 2.69, 84.97, 93.69, 0.38, 7.27, 9.49, 20.61, 28.75, 34.32, 91.98, 95.40, 52.65, 18.29, 8.53, '2022-09-16 11:51:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (147, 1.63, 43.43, 87.07, 15.91, 17.08, 3.52, 14.17, 27.33, 40.18, 93.97, 92.90, 72.91, 0.79, 9.20, '2022-09-16 11:52:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (148, 0.70, 33.31, 81.35, 19.62, 5.60, 24.24, 5.15, 26.43, 37.27, 87.92, 113.16, 34.95, 7.01, 8.98, '2022-09-16 11:53:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (149, 1.46, 100.33, 11.40, 1.93, 14.38, 1.61, 14.89, 23.53, 68.69, 93.89, 89.09, 74.29, 15.86, 5.21, '2022-09-16 11:54:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (150, 1.10, 36.39, 38.92, 11.78, 19.06, 11.48, 10.14, 26.18, 64.16, 87.89, 114.58, 70.07, 2.98, 8.88, '2022-09-16 11:55:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (151, 0.67, 70.14, 28.46, 16.83, 2.61, 12.91, 27.06, 28.41, 56.00, 80.24, 104.70, 21.11, 18.33, 4.51, '2022-09-16 11:56:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (152, 2.76, 43.62, 51.86, 4.58, 7.28, 35.02, 5.67, 23.78, 69.40, 88.98, 81.79, 59.56, 19.75, 6.63, '2022-09-16 11:57:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (153, 2.15, 35.50, 80.96, 11.95, 13.99, 12.87, 29.51, 22.36, 49.53, 85.99, 87.39, 60.08, 11.30, 6.35, '2022-09-16 11:58:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (154, 1.43, 89.96, 30.21, 1.46, 2.16, 37.43, 0.61, 25.07, 43.99, 91.20, 107.78, 75.73, 15.84, 5.74, '2022-09-16 11:59:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (155, 2.18, 95.22, 46.18, 8.07, 12.27, 30.80, 1.05, 27.39, 49.52, 84.77, 89.27, 73.38, 3.91, 8.57, '2022-09-16 12:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (156, 2.01, 98.99, 94.84, 10.96, 11.14, 28.05, 24.58, 23.74, 66.50, 98.09, 82.35, 72.00, 14.77, 5.31, '2022-09-16 12:01:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (157, 0.30, 60.48, 7.02, 18.49, 17.76, 13.67, 5.14, 29.80, 69.20, 88.64, 96.37, 50.94, 17.79, 9.67, '2022-09-16 12:02:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (158, 1.63, 65.26, 65.09, 7.49, 8.10, 21.43, 1.70, 25.76, 63.59, 87.11, 109.45, 55.22, 1.36, 3.21, '2022-09-16 12:03:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (159, 0.92, 42.23, 2.81, 1.37, 16.35, 28.71, 3.23, 27.25, 48.43, 91.23, 85.93, 50.59, 18.90, 10.35, '2022-09-16 12:04:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (160, 0.54, 35.85, 8.40, 12.81, 7.03, 8.70, 2.00, 22.93, 53.68, 90.58, 105.35, 50.91, 4.08, 7.06, '2022-09-16 12:05:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (161, 0.50, 80.74, 75.03, 10.75, 11.71, 2.55, 18.83, 20.04, 64.19, 81.56, 104.89, 55.06, 2.57, 6.95, '2022-09-16 12:06:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (162, 2.37, 42.88, 75.15, 4.14, 15.20, 19.15, 3.14, 21.44, 53.51, 97.83, 81.32, 42.24, 12.23, 4.33, '2022-09-16 12:07:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (163, 2.92, 53.21, 75.54, 13.60, 10.42, 25.51, 15.15, 20.46, 67.96, 80.36, 106.24, 21.76, 12.51, 9.65, '2022-09-16 12:08:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (164, 0.19, 69.92, 30.40, 0.94, 9.10, 26.60, 29.85, 29.65, 60.71, 91.20, 119.31, 77.62, 8.97, 8.52, '2022-09-16 12:09:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (165, 2.85, 38.09, 58.41, 11.35, 4.60, 23.41, 9.87, 28.09, 51.27, 90.78, 113.59, 63.49, 9.25, 10.63, '2022-09-16 12:10:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (166, 1.55, 55.21, 84.94, 12.24, 6.07, 19.04, 28.50, 22.77, 60.93, 85.07, 93.70, 37.68, 14.20, 7.46, '2022-09-16 12:11:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (167, 2.47, 66.22, 61.68, 17.92, 8.26, 22.70, 6.20, 21.50, 55.33, 93.86, 80.54, 47.67, 8.31, 5.70, '2022-09-16 12:12:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (168, 1.55, 87.35, 98.28, 12.00, 19.01, 11.97, 28.88, 27.70, 30.35, 86.30, 81.69, 25.27, 3.65, 1.35, '2022-09-16 12:13:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (169, 1.98, 38.27, 13.78, 7.52, 16.21, 7.29, 23.08, 20.30, 63.94, 97.52, 80.13, 46.35, 18.79, 9.34, '2022-09-16 12:14:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (170, 2.38, 87.65, 2.89, 15.46, 12.91, 3.05, 20.85, 27.26, 43.50, 93.52, 106.50, 77.21, 13.17, 1.93, '2022-09-16 12:15:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (171, 2.03, 47.45, 62.95, 8.67, 10.70, 18.89, 5.04, 29.39, 50.35, 81.54, 117.80, 20.11, 17.18, 10.97, '2022-09-16 12:16:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (172, 2.89, 32.06, 96.56, 19.18, 4.71, 22.14, 10.76, 26.71, 63.88, 96.48, 119.14, 24.02, 7.69, 1.34, '2022-09-16 12:17:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (173, 1.07, 65.74, 89.72, 12.57, 11.23, 9.80, 7.62, 23.22, 41.94, 89.00, 105.78, 29.02, 7.31, 10.18, '2022-09-16 12:18:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (174, 2.91, 94.27, 64.58, 12.58, 14.12, 35.51, 14.57, 26.63, 55.69, 82.90, 87.48, 60.17, 0.88, 1.11, '2022-09-16 12:19:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (175, 1.21, 58.60, 21.45, 12.44, 12.46, 9.21, 14.09, 24.38, 50.14, 91.74, 94.04, 54.13, 8.44, 5.82, '2022-09-16 12:20:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (176, 0.02, 92.10, 31.74, 11.96, 18.46, 16.76, 23.75, 27.30, 34.45, 94.57, 88.82, 75.47, 5.85, 0.49, '2022-09-16 12:21:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (177, 0.18, 62.56, 26.60, 9.86, 3.78, 32.23, 2.47, 22.98, 58.97, 87.97, 115.53, 55.61, 19.61, 9.36, '2022-09-16 12:22:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (178, 0.87, 62.72, 73.45, 6.33, 9.24, 6.10, 13.40, 29.44, 61.28, 89.41, 116.18, 79.05, 20.82, 7.74, '2022-09-16 12:23:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (179, 1.29, 94.85, 16.96, 11.65, 15.53, 0.69, 20.42, 20.28, 37.19, 91.47, 83.20, 54.24, 6.32, 0.50, '2022-09-16 12:24:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (180, 0.83, 31.24, 0.58, 7.40, 11.04, 28.04, 29.88, 20.55, 31.87, 91.50, 115.30, 44.58, 20.96, 0.01, '2022-09-16 12:25:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (181, 2.42, 34.61, 89.04, 1.01, 17.18, 28.42, 0.13, 23.89, 63.97, 96.91, 109.02, 47.95, 20.70, 5.87, '2022-09-16 12:26:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (182, 0.95, 98.80, 4.01, 2.37, 13.02, 25.00, 27.34, 23.51, 49.91, 89.56, 84.57, 22.04, 5.05, 7.39, '2022-09-16 12:27:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (183, 1.09, 79.51, 79.15, 6.55, 7.51, 1.64, 11.59, 29.90, 31.30, 93.67, 88.14, 29.41, 11.19, 3.68, '2022-09-16 12:28:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (184, 1.21, 36.15, 70.00, 12.91, 14.34, 23.99, 4.79, 27.43, 66.27, 89.58, 104.17, 53.71, 16.79, 8.23, '2022-09-16 12:29:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (185, 2.98, 96.66, 52.58, 16.20, 7.66, 22.60, 27.07, 23.85, 30.63, 81.04, 107.66, 79.87, 13.82, 8.59, '2022-09-16 12:30:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (186, 1.99, 89.20, 63.84, 11.54, 5.11, 30.73, 9.95, 26.15, 48.90, 99.57, 112.49, 50.29, 0.14, 8.09, '2022-09-16 12:31:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (187, 0.12, 44.13, 3.62, 6.67, 8.98, 29.65, 13.21, 20.76, 49.09, 97.72, 107.32, 64.33, 2.03, 8.54, '2022-09-16 12:32:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (188, 0.49, 30.86, 100.20, 4.46, 1.80, 8.42, 14.56, 27.20, 38.48, 89.31, 85.58, 67.68, 1.02, 7.64, '2022-09-16 12:33:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (189, 0.05, 66.97, 12.92, 12.76, 17.09, 28.99, 21.94, 28.74, 32.97, 94.80, 94.10, 38.58, 19.71, 2.83, '2022-09-16 12:34:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (190, 1.85, 79.11, 69.15, 7.49, 12.90, 2.17, 28.35, 26.02, 30.83, 86.02, 107.12, 59.95, 16.33, 10.68, '2022-09-16 12:35:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (191, 0.37, 52.77, 79.06, 6.89, 7.80, 32.93, 27.41, 28.97, 55.14, 82.87, 99.10, 74.22, 3.26, 5.04, '2022-09-16 12:36:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (192, 2.60, 84.38, 19.52, 17.76, 3.28, 33.29, 19.12, 24.97, 34.10, 88.52, 114.15, 64.78, 5.87, 5.66, '2022-09-16 12:37:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (193, 2.97, 97.29, 62.81, 11.42, 4.78, 4.81, 11.77, 28.99, 57.04, 82.22, 84.76, 23.41, 17.10, 9.15, '2022-09-16 12:38:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (194, 2.73, 67.87, 80.62, 10.18, 8.19, 1.84, 7.84, 22.25, 31.40, 87.53, 118.32, 60.11, 11.74, 9.45, '2022-09-16 12:39:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (195, 0.07, 82.67, 75.81, 3.75, 11.96, 29.84, 15.32, 29.84, 32.95, 80.48, 100.92, 61.30, 2.76, 2.94, '2022-09-16 12:40:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (196, 2.69, 94.57, 49.35, 9.77, 13.41, 29.65, 9.19, 23.93, 58.77, 84.70, 83.16, 24.25, 2.95, 8.87, '2022-09-16 12:41:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (197, 2.38, 32.68, 13.23, 14.86, 0.17, 25.90, 20.47, 28.91, 38.26, 90.46, 110.88, 30.16, 15.75, 9.14, '2022-09-16 12:42:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (198, 2.23, 98.79, 70.76, 1.97, 13.94, 34.48, 25.91, 28.21, 51.72, 96.23, 108.54, 25.15, 8.15, 8.97, '2022-09-16 12:43:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (199, 2.30, 91.49, 40.65, 9.76, 13.32, 13.88, 25.30, 22.87, 51.25, 84.03, 103.69, 35.55, 4.68, 3.66, '2022-09-16 12:44:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (200, 2.76, 83.85, 40.02, 1.57, 8.49, 13.26, 20.86, 24.88, 61.92, 94.65, 116.75, 23.73, 8.35, 10.74, '2022-09-16 12:45:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (201, 1.03, 32.40, 100.75, 5.53, 17.76, 23.25, 1.47, 25.44, 64.94, 91.48, 95.77, 52.93, 12.35, 3.38, '2022-09-16 12:46:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (202, 2.65, 43.76, 71.06, 0.23, 19.30, 2.35, 24.12, 22.83, 68.98, 90.72, 84.52, 60.19, 13.65, 10.30, '2022-09-16 12:47:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (203, 2.38, 91.84, 38.63, 5.75, 19.43, 11.69, 5.64, 28.86, 60.40, 80.41, 110.14, 59.43, 11.51, 6.10, '2022-09-16 12:48:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (204, 0.66, 36.16, 79.41, 11.60, 6.51, 13.44, 7.05, 22.14, 32.10, 94.95, 84.62, 60.45, 3.09, 10.17, '2022-09-16 12:49:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (205, 1.56, 54.78, 74.95, 10.83, 11.66, 37.06, 19.24, 26.57, 66.76, 86.48, 107.77, 38.07, 20.29, 2.78, '2022-09-16 12:50:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (206, 0.97, 98.37, 46.68, 8.81, 15.43, 15.93, 24.22, 26.57, 44.18, 93.66, 96.06, 74.68, 19.32, 1.93, '2022-09-16 12:51:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (207, 2.35, 45.88, 67.27, 4.44, 17.24, 35.61, 25.84, 21.56, 64.86, 82.88, 97.13, 27.71, 20.39, 6.96, '2022-09-16 12:52:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (208, 0.44, 72.25, 23.85, 13.61, 16.82, 8.11, 6.66, 25.95, 50.61, 80.73, 98.62, 55.45, 15.46, 10.30, '2022-09-16 12:53:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (209, 1.51, 44.83, 48.37, 16.03, 5.69, 28.14, 21.12, 21.45, 69.54, 82.69, 106.27, 32.65, 14.00, 1.02, '2022-09-16 12:54:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (210, 2.75, 49.63, 47.40, 8.60, 1.09, 28.91, 27.24, 27.40, 66.39, 90.00, 95.58, 23.23, 4.55, 1.23, '2022-09-16 12:55:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (211, 2.96, 88.12, 40.35, 15.93, 8.30, 14.95, 29.69, 25.01, 63.99, 80.72, 85.85, 75.62, 19.72, 4.23, '2022-09-16 12:56:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (212, 1.01, 83.38, 52.43, 1.89, 6.53, 35.78, 24.19, 25.85, 66.25, 93.83, 112.00, 29.96, 0.79, 7.44, '2022-09-16 12:57:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (213, 1.24, 75.01, 32.48, 8.65, 2.77, 9.73, 5.63, 28.91, 62.52, 89.61, 100.96, 34.65, 4.43, 6.82, '2022-09-16 12:58:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (214, 1.87, 66.54, 99.06, 13.17, 6.85, 9.57, 18.61, 21.34, 46.60, 85.80, 118.31, 33.21, 15.79, 5.06, '2022-09-16 12:59:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (215, 1.91, 31.69, 19.22, 16.72, 10.94, 38.96, 3.84, 29.36, 67.72, 97.57, 107.72, 35.80, 18.46, 7.79, '2022-09-16 13:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (216, 2.38, 63.87, 42.95, 9.68, 10.73, 1.96, 26.95, 26.83, 56.02, 93.33, 102.22, 28.65, 4.69, 10.06, '2022-09-16 13:01:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (217, 1.57, 84.47, 10.44, 19.22, 17.15, 30.14, 15.12, 23.06, 68.72, 94.80, 110.83, 44.69, 7.83, 1.21, '2022-09-16 13:02:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (218, 0.76, 74.96, 20.81, 9.24, 17.38, 22.12, 25.55, 29.35, 46.26, 87.92, 91.14, 32.88, 6.88, 1.02, '2022-09-16 13:03:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (219, 1.47, 87.75, 61.41, 2.39, 16.41, 4.24, 16.51, 26.03, 51.68, 99.80, 86.31, 76.97, 12.71, 9.43, '2022-09-16 13:04:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (220, 1.21, 35.08, 21.89, 0.83, 7.94, 2.45, 1.15, 25.11, 39.40, 88.05, 117.79, 60.54, 3.96, 2.25, '2022-09-16 13:05:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (221, 2.33, 100.54, 97.85, 7.46, 17.66, 11.72, 29.68, 29.08, 46.48, 81.70, 120.87, 41.06, 19.83, 9.16, '2022-09-16 13:06:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (222, 1.61, 36.73, 58.84, 17.27, 7.33, 11.38, 21.17, 25.83, 44.09, 91.12, 86.66, 68.88, 15.07, 0.44, '2022-09-16 13:07:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (223, 2.54, 66.83, 22.66, 13.19, 5.92, 30.05, 24.56, 27.42, 69.02, 91.52, 110.45, 21.17, 13.51, 1.66, '2022-09-16 13:08:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (224, 0.23, 37.81, 62.27, 19.99, 10.60, 27.29, 3.74, 20.80, 36.51, 96.44, 115.37, 36.72, 16.51, 5.02, '2022-09-16 13:09:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (225, 2.14, 63.46, 30.54, 6.33, 18.01, 20.07, 5.41, 26.37, 58.04, 84.34, 103.36, 50.32, 14.76, 9.97, '2022-09-16 13:10:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (226, 2.65, 89.88, 11.39, 19.74, 3.62, 37.97, 22.06, 21.90, 47.61, 95.29, 95.89, 22.41, 0.49, 5.99, '2022-09-16 13:11:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (227, 1.81, 44.20, 99.06, 11.03, 6.19, 20.63, 26.15, 20.42, 63.97, 82.09, 105.64, 49.02, 7.88, 9.03, '2022-09-16 13:12:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (228, 1.89, 62.22, 80.42, 8.99, 4.42, 36.43, 23.57, 29.00, 38.11, 92.94, 99.07, 47.14, 20.00, 0.37, '2022-09-16 13:13:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (229, 0.07, 34.49, 19.34, 8.72, 12.88, 3.53, 12.53, 27.69, 31.71, 90.62, 87.21, 27.77, 7.30, 6.57, '2022-09-16 13:14:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (230, 2.56, 56.35, 64.22, 9.60, 4.12, 8.01, 18.42, 20.09, 68.56, 83.99, 108.59, 63.61, 9.84, 9.63, '2022-09-16 13:15:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (231, 0.63, 78.64, 41.72, 2.74, 0.98, 31.71, 12.45, 24.61, 31.73, 97.15, 117.17, 62.38, 3.63, 0.06, '2022-09-16 13:16:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (232, 2.22, 42.66, 40.74, 3.25, 16.78, 34.28, 3.20, 27.86, 69.44, 87.93, 90.88, 68.09, 19.25, 4.97, '2022-09-16 13:17:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (233, 3.00, 95.92, 39.22, 15.49, 4.38, 13.32, 26.05, 21.02, 66.21, 96.69, 97.83, 53.55, 9.22, 6.52, '2022-09-16 13:18:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (234, 1.56, 62.64, 16.88, 15.08, 14.17, 19.77, 5.88, 21.36, 36.26, 85.37, 83.35, 30.63, 10.15, 8.22, '2022-09-16 13:19:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (235, 2.70, 68.13, 68.99, 13.50, 16.42, 23.71, 17.46, 28.79, 47.42, 96.60, 109.65, 23.26, 1.34, 8.73, '2022-09-16 13:20:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (236, 0.74, 30.16, 88.12, 15.25, 5.70, 38.87, 9.62, 27.73, 53.16, 92.59, 113.43, 65.25, 10.42, 7.00, '2022-09-16 13:21:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (237, 2.94, 44.74, 22.13, 18.15, 13.87, 28.88, 8.85, 24.17, 46.91, 96.69, 117.31, 67.15, 5.71, 4.27, '2022-09-16 13:22:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (238, 1.81, 67.27, 1.43, 15.94, 1.40, 27.90, 25.55, 28.46, 51.33, 91.14, 117.72, 71.61, 1.32, 5.07, '2022-09-16 13:23:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (239, 0.73, 87.36, 0.55, 9.81, 7.45, 3.18, 7.74, 21.22, 32.06, 91.05, 82.90, 77.06, 6.59, 3.31, '2022-09-16 13:24:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (240, 2.03, 40.33, 59.65, 11.45, 2.98, 20.20, 7.61, 28.59, 45.11, 96.42, 120.67, 74.36, 20.52, 7.33, '2022-09-16 13:25:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (241, 2.47, 53.74, 36.87, 11.53, 12.50, 9.35, 27.46, 23.40, 68.42, 80.60, 110.04, 65.60, 13.44, 0.09, '2022-09-16 13:26:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (242, 1.94, 48.97, 56.44, 16.74, 6.65, 38.23, 0.04, 23.97, 64.56, 91.35, 80.05, 65.63, 15.53, 1.13, '2022-09-16 13:27:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (243, 2.67, 89.16, 18.53, 10.53, 13.59, 21.76, 2.51, 28.80, 38.87, 89.59, 100.40, 31.27, 10.42, 9.99, '2022-09-16 13:28:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (244, 0.19, 50.92, 81.73, 11.23, 6.43, 12.93, 29.45, 25.14, 58.46, 86.24, 108.15, 78.85, 1.90, 9.19, '2022-09-16 13:29:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (245, 0.08, 88.57, 25.27, 16.06, 7.89, 19.14, 0.86, 20.67, 58.45, 82.25, 89.07, 64.66, 2.61, 7.73, '2022-09-16 13:30:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (246, 1.16, 97.99, 100.42, 4.64, 13.15, 12.16, 7.52, 22.64, 63.77, 90.96, 107.97, 48.20, 10.76, 10.69, '2022-09-16 13:31:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (247, 2.14, 59.15, 97.62, 2.74, 2.67, 38.52, 9.62, 20.98, 32.32, 94.02, 85.63, 34.33, 9.50, 10.43, '2022-09-16 13:32:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (248, 2.30, 81.48, 58.67, 19.71, 17.52, 32.64, 19.27, 27.34, 38.60, 97.91, 96.89, 33.00, 19.67, 10.03, '2022-09-16 13:33:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (249, 2.28, 35.87, 83.84, 18.71, 0.68, 18.99, 1.07, 21.10, 36.02, 94.57, 83.69, 40.68, 4.31, 0.59, '2022-09-16 13:34:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (250, 0.12, 42.95, 48.08, 9.01, 10.09, 38.13, 19.92, 26.92, 45.88, 81.52, 91.53, 43.82, 3.14, 1.86, '2022-09-16 13:35:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (251, 2.16, 88.17, 69.95, 10.37, 15.48, 38.42, 22.21, 24.18, 66.82, 90.84, 114.15, 72.23, 0.52, 9.30, '2022-09-16 13:36:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (252, 2.66, 81.65, 59.45, 2.54, 11.64, 28.17, 23.31, 20.35, 36.74, 84.11, 81.14, 49.57, 7.14, 1.07, '2022-09-16 13:37:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (253, 1.46, 68.52, 10.68, 7.48, 12.02, 33.20, 28.43, 24.93, 44.55, 83.67, 120.16, 79.11, 9.17, 4.11, '2022-09-16 13:38:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (254, 1.32, 71.09, 8.92, 9.69, 2.37, 6.84, 0.84, 28.58, 38.60, 97.44, 86.39, 32.88, 4.64, 7.02, '2022-09-16 13:39:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (255, 1.32, 65.43, 98.88, 14.05, 16.37, 1.43, 1.18, 23.99, 51.83, 85.57, 114.21, 23.13, 12.77, 4.53, '2022-09-16 13:40:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (256, 0.40, 82.07, 93.23, 8.90, 8.88, 9.90, 23.70, 28.11, 58.11, 81.82, 103.50, 35.84, 9.87, 6.91, '2022-09-16 13:41:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (257, 2.05, 31.67, 72.14, 16.14, 6.15, 30.71, 13.75, 26.03, 64.12, 93.42, 113.51, 55.63, 16.17, 6.66, '2022-09-16 13:42:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (258, 2.05, 85.89, 11.23, 6.73, 19.16, 37.06, 9.04, 20.05, 30.48, 98.69, 102.80, 34.73, 20.65, 10.08, '2022-09-16 13:43:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (259, 1.03, 97.40, 46.33, 5.57, 16.24, 6.39, 19.61, 23.41, 34.77, 99.24, 93.11, 48.00, 7.92, 4.60, '2022-09-16 13:44:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (260, 2.70, 81.06, 98.70, 5.51, 0.18, 37.87, 25.77, 29.91, 61.34, 86.47, 100.10, 36.50, 16.92, 2.17, '2022-09-16 13:45:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (261, 0.47, 37.05, 46.60, 14.66, 7.66, 30.24, 0.75, 21.61, 49.19, 87.43, 105.88, 30.54, 4.79, 9.90, '2022-09-16 13:46:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (262, 0.94, 66.37, 66.38, 11.06, 19.31, 35.13, 23.21, 23.78, 68.17, 90.93, 91.04, 46.79, 11.07, 7.43, '2022-09-16 13:47:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (263, 1.45, 61.76, 28.15, 16.75, 4.48, 26.75, 5.93, 22.97, 46.32, 84.26, 105.83, 66.05, 6.56, 1.27, '2022-09-16 13:48:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (264, 1.81, 36.42, 69.54, 6.29, 13.99, 9.13, 6.77, 22.83, 67.17, 84.85, 106.94, 46.00, 0.20, 9.96, '2022-09-16 13:49:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (265, 1.83, 95.78, 56.42, 14.29, 3.09, 22.74, 10.56, 21.86, 66.52, 81.75, 103.77, 59.88, 15.20, 0.73, '2022-09-16 13:50:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (266, 2.58, 74.60, 17.95, 19.14, 8.18, 28.81, 17.59, 28.67, 57.15, 98.31, 111.62, 30.08, 9.25, 0.56, '2022-09-16 13:51:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (267, 1.15, 52.05, 86.49, 10.82, 4.75, 9.68, 24.41, 27.41, 47.59, 95.83, 105.48, 30.53, 8.86, 2.57, '2022-09-16 13:52:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (268, 2.51, 90.11, 88.35, 14.83, 3.89, 14.83, 8.64, 29.93, 62.79, 82.21, 109.49, 66.10, 19.17, 2.62, '2022-09-16 13:53:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (269, 2.43, 81.55, 38.89, 12.47, 6.96, 36.89, 16.04, 20.59, 54.98, 97.72, 81.23, 39.22, 11.01, 5.12, '2022-09-16 13:54:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (270, 1.00, 72.18, 48.27, 5.88, 2.05, 17.75, 28.71, 24.55, 68.34, 83.50, 103.53, 65.29, 13.87, 0.03, '2022-09-16 13:55:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (271, 2.82, 90.88, 52.46, 16.47, 16.77, 35.29, 15.21, 27.31, 47.40, 87.55, 114.58, 62.11, 18.46, 1.84, '2022-09-16 13:56:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (272, 1.76, 90.49, 29.98, 1.03, 8.95, 38.71, 2.20, 21.34, 61.37, 97.20, 115.24, 73.79, 16.33, 2.19, '2022-09-16 13:57:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (273, 1.42, 67.06, 12.63, 4.01, 2.40, 22.23, 5.33, 22.07, 45.56, 92.61, 110.78, 50.36, 19.74, 2.39, '2022-09-16 13:58:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (274, 2.76, 99.71, 1.20, 5.17, 17.29, 9.84, 28.13, 20.07, 68.19, 80.79, 118.16, 52.67, 6.37, 3.15, '2022-09-16 13:59:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (275, 2.41, 72.70, 20.42, 5.22, 2.44, 35.88, 16.18, 25.87, 50.81, 80.19, 88.35, 53.94, 17.58, 5.23, '2022-09-16 14:00:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (276, 0.56, 73.62, 92.05, 13.53, 0.64, 26.20, 27.89, 27.85, 54.53, 89.54, 89.72, 44.87, 17.15, 7.43, '2022-09-16 14:01:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (277, 2.41, 46.01, 31.90, 5.04, 15.86, 20.33, 27.85, 24.73, 68.79, 95.12, 82.65, 53.20, 4.17, 10.82, '2022-09-16 14:02:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (278, 0.98, 63.55, 32.31, 8.83, 11.11, 30.32, 21.06, 25.64, 63.41, 80.14, 93.75, 80.00, 6.86, 9.56, '2022-09-16 14:03:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (279, 1.48, 67.52, 87.57, 2.80, 18.89, 27.46, 7.05, 23.58, 55.39, 97.46, 118.46, 67.06, 9.74, 5.97, '2022-09-16 14:04:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (280, 0.53, 76.64, 20.15, 5.62, 15.51, 28.29, 16.92, 29.66, 49.97, 80.62, 90.17, 28.90, 8.31, 5.34, '2022-09-16 14:05:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (281, 0.64, 90.99, 34.79, 7.81, 3.79, 14.07, 18.56, 23.30, 60.33, 83.94, 97.73, 78.60, 0.12, 3.72, '2022-09-16 14:06:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (282, 0.73, 98.41, 50.83, 19.87, 4.30, 7.28, 17.19, 25.18, 53.19, 81.62, 119.58, 25.56, 8.36, 2.57, '2022-09-16 14:07:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (283, 1.82, 71.22, 15.88, 15.58, 19.40, 9.00, 28.73, 21.72, 34.06, 97.38, 80.86, 35.85, 13.74, 3.24, '2022-09-16 14:08:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (284, 2.48, 88.19, 19.95, 19.95, 6.12, 0.67, 25.36, 24.16, 38.30, 86.32, 87.04, 44.10, 7.61, 9.57, '2022-09-16 14:09:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (285, 0.01, 42.11, 91.13, 6.36, 1.05, 6.77, 8.41, 29.65, 65.48, 89.74, 118.98, 73.97, 8.34, 1.14, '2022-09-16 14:10:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (286, 2.35, 90.48, 64.00, 7.37, 15.49, 1.00, 2.25, 21.81, 38.67, 84.59, 115.12, 30.94, 14.84, 1.95, '2022-09-16 14:11:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (287, 2.54, 41.22, 92.41, 1.36, 18.28, 19.14, 17.93, 22.75, 50.32, 99.68, 116.65, 28.60, 0.75, 7.47, '2022-09-16 14:12:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (288, 2.97, 48.59, 50.21, 1.14, 18.85, 34.10, 21.83, 21.13, 59.96, 99.85, 108.82, 30.64, 15.82, 3.13, '2022-09-16 14:13:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (289, 0.36, 93.21, 10.59, 5.56, 19.57, 14.97, 22.09, 24.40, 67.79, 97.41, 117.62, 61.83, 5.55, 6.02, '2022-09-16 14:14:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (290, 1.76, 80.20, 35.63, 3.30, 12.76, 26.15, 26.94, 25.88, 43.14, 89.63, 89.95, 37.97, 3.61, 7.57, '2022-09-16 14:15:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (291, 0.07, 79.57, 99.53, 7.07, 5.02, 35.30, 11.18, 20.10, 67.35, 82.08, 84.24, 49.42, 5.64, 6.53, '2022-09-16 14:16:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (292, 0.97, 96.97, 65.51, 6.07, 19.56, 39.74, 28.47, 20.69, 43.75, 94.40, 118.84, 46.32, 10.19, 3.26, '2022-09-16 14:17:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (293, 0.43, 68.00, 72.49, 11.11, 18.48, 36.89, 28.57, 27.94, 55.20, 81.47, 106.07, 65.76, 3.94, 5.51, '2022-09-16 14:18:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (294, 2.90, 30.95, 37.11, 14.22, 18.60, 0.03, 17.32, 20.78, 39.94, 89.99, 83.07, 42.18, 3.73, 7.97, '2022-09-16 14:19:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (295, 2.90, 73.95, 56.76, 9.04, 10.47, 25.38, 19.07, 23.88, 62.29, 80.63, 85.14, 53.09, 2.93, 7.85, '2022-09-16 14:20:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (296, 1.65, 72.88, 14.01, 3.61, 6.22, 27.02, 19.48, 25.73, 43.14, 81.84, 90.30, 57.49, 7.62, 9.48, '2022-09-16 14:21:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (297, 0.62, 33.48, 78.07, 4.41, 18.71, 25.07, 24.13, 24.66, 55.20, 85.90, 106.50, 68.31, 14.45, 1.47, '2022-09-16 14:22:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (298, 2.71, 41.09, 5.06, 17.50, 7.66, 8.08, 9.82, 20.52, 45.35, 81.03, 109.06, 36.56, 10.66, 3.93, '2022-09-16 14:23:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (299, 0.08, 60.97, 48.07, 7.00, 0.76, 0.66, 9.26, 26.53, 62.53, 97.36, 99.11, 53.57, 4.92, 5.75, '2022-09-16 14:24:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (300, 0.20, 46.77, 78.79, 0.80, 3.08, 23.38, 18.59, 27.91, 51.76, 81.70, 110.50, 79.90, 0.60, 2.01, '2022-09-16 14:25:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (301, 1.48, 68.41, 24.38, 0.48, 4.84, 9.59, 27.76, 22.32, 39.93, 98.74, 112.60, 60.88, 19.73, 8.66, '2022-09-16 14:26:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (302, 2.35, 45.24, 26.48, 16.67, 10.66, 27.57, 17.52, 25.11, 69.73, 94.09, 105.07, 76.54, 7.41, 8.44, '2022-09-16 14:27:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (303, 2.56, 80.79, 95.84, 0.03, 2.24, 26.36, 3.56, 29.56, 66.96, 95.86, 96.60, 26.24, 2.99, 6.38, '2022-09-16 14:28:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (304, 0.25, 97.53, 54.40, 1.03, 6.85, 10.75, 18.97, 24.22, 32.47, 88.39, 100.88, 44.60, 19.43, 10.21, '2022-09-16 14:29:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (305, 2.36, 32.78, 30.01, 0.28, 18.64, 31.83, 21.13, 20.89, 51.49, 91.37, 108.72, 41.59, 6.78, 4.13, '2022-09-16 14:30:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (306, 0.65, 85.78, 45.04, 6.96, 5.42, 13.14, 19.23, 22.03, 37.72, 88.61, 80.62, 75.42, 1.67, 10.81, '2022-09-16 14:31:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (307, 1.09, 43.02, 40.03, 1.96, 10.63, 18.06, 9.22, 28.62, 46.52, 82.66, 103.64, 56.05, 18.06, 3.94, '2022-09-16 14:32:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (308, 1.04, 78.04, 50.72, 14.59, 4.09, 32.75, 20.59, 28.82, 33.91, 83.20, 96.67, 60.30, 20.23, 2.78, '2022-09-16 14:33:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (309, 2.94, 46.52, 48.26, 5.20, 11.59, 27.80, 22.59, 27.39, 62.51, 95.25, 108.65, 57.69, 6.39, 2.59, '2022-09-16 14:34:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (310, 2.82, 82.84, 10.77, 8.11, 3.05, 15.44, 14.57, 24.49, 52.44, 84.43, 94.83, 37.77, 19.82, 6.61, '2022-09-16 14:35:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (311, 2.27, 40.31, 50.08, 8.04, 10.19, 11.11, 13.03, 20.79, 50.42, 98.41, 101.69, 65.29, 7.68, 9.30, '2022-09-16 14:36:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (312, 1.65, 71.21, 96.34, 1.55, 11.72, 16.87, 20.98, 24.62, 57.57, 94.57, 93.08, 39.66, 10.00, 5.65, '2022-09-16 14:37:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (313, 2.29, 55.87, 72.55, 15.41, 2.34, 34.47, 3.88, 23.54, 55.00, 95.45, 103.63, 49.04, 16.97, 6.96, '2022-09-16 14:38:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (314, 2.05, 65.31, 65.48, 14.15, 19.49, 30.33, 15.13, 20.22, 38.75, 84.75, 92.33, 61.37, 13.88, 2.94, '2022-09-16 14:39:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (315, 2.74, 83.22, 36.57, 9.95, 16.67, 9.46, 16.07, 26.85, 30.85, 94.37, 101.00, 42.57, 17.31, 9.04, '2022-09-16 14:40:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (316, 2.83, 76.19, 19.91, 13.05, 3.30, 2.29, 12.98, 23.81, 47.68, 98.72, 116.21, 31.50, 3.47, 2.99, '2022-09-16 14:41:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (317, 2.83, 59.16, 4.16, 18.50, 9.94, 38.55, 27.43, 21.16, 51.93, 86.37, 111.36, 30.65, 5.53, 2.35, '2022-09-16 14:42:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (318, 2.54, 87.67, 54.52, 18.44, 14.12, 16.15, 15.36, 24.93, 44.14, 97.97, 101.16, 64.85, 14.64, 8.03, '2022-09-16 14:43:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (319, 2.94, 78.13, 1.84, 16.25, 6.14, 17.62, 4.16, 26.63, 51.18, 95.56, 108.54, 44.12, 12.70, 5.50, '2022-09-16 14:44:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (320, 1.20, 49.56, 3.28, 7.32, 16.62, 3.94, 6.91, 28.38, 52.51, 84.56, 99.38, 24.78, 12.66, 0.79, '2022-09-16 14:45:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (321, 2.39, 94.95, 72.51, 11.54, 2.16, 36.67, 28.52, 25.69, 58.08, 97.38, 87.13, 75.34, 13.73, 4.15, '2022-09-16 14:46:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (322, 2.98, 50.66, 12.80, 8.57, 5.16, 15.10, 13.78, 25.76, 37.91, 80.57, 105.32, 25.06, 7.55, 3.17, '2022-09-16 14:47:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (323, 2.65, 36.41, 68.88, 13.05, 4.19, 7.84, 7.32, 25.04, 51.87, 88.63, 112.62, 41.76, 1.47, 7.61, '2022-09-16 14:48:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (324, 0.02, 78.76, 11.41, 17.96, 1.69, 31.90, 17.15, 29.12, 42.81, 81.64, 87.39, 45.07, 10.39, 7.71, '2022-09-16 14:49:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (325, 0.04, 58.74, 76.67, 2.40, 7.38, 14.04, 13.64, 22.27, 59.16, 88.43, 99.32, 58.03, 9.33, 6.92, '2022-09-16 14:50:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (326, 0.52, 48.03, 42.11, 19.63, 2.89, 30.82, 2.65, 26.35, 46.43, 88.68, 118.86, 53.76, 1.25, 5.63, '2022-09-16 14:51:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (327, 1.30, 35.08, 55.37, 9.45, 10.98, 6.57, 4.73, 29.22, 36.59, 85.47, 119.68, 36.86, 12.25, 3.22, '2022-09-16 14:52:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (328, 0.63, 42.07, 95.24, 9.49, 13.05, 3.48, 26.13, 27.92, 47.59, 87.26, 84.87, 25.64, 11.98, 9.41, '2022-09-16 14:53:00');
|
||||
INSERT INTO "public"."avg_day_data" VALUES (329, 0.58, 93.76, 21.81, 16.19, 0.86, 21.85, 2.82, 24.23, 33.09, 85.67, 92.82, 79.20, 3.45, 7.41, '2022-09-16 14:54:00');
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table avg_day_data
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."avg_day_data" ADD CONSTRAINT "avg_day_data_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,48 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : 115.238.53.59
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : 115.238.53.59:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 09/11/2022 14:26:33
|
||||
*/
|
||||
|
||||
DROP SEQUENCE IF EXISTS "public"."seq_data_forwarding";
|
||||
CREATE SEQUENCE "public"."seq_data_forwarding"
|
||||
INCREMENT 1
|
||||
MINVALUE 1
|
||||
MAXVALUE 2147483647
|
||||
START 1
|
||||
CACHE 1;
|
||||
ALTER SEQUENCE "public"."seq_data_forwarding" OWNER TO "xiuosiot";
|
||||
-- ----------------------------
|
||||
-- Table structure for data_forwarding
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."data_forwarding";
|
||||
CREATE TABLE "public"."data_forwarding" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_data_forwarding'::regclass),
|
||||
"topic" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"content" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"type" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"time" timestamp(6),
|
||||
"address" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"sql" varchar(255) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."topic" IS '转发主题';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."content" IS '转发内容';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."type" IS '转发方式';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."time" IS '转发时间';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."address" IS '转发地址';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."org" IS '所属公司';
|
||||
COMMENT ON COLUMN "public"."data_forwarding"."sql" IS '执行sql';
|
||||
ALTER TABLE "public"."data_forwarding" ADD CONSTRAINT "data_forwarding_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,110 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 09/10/2022 20:43:52
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for device_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."device_info";
|
||||
CREATE TABLE "public"."device_info" (
|
||||
"id" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"productname" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"type" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"no" varchar(16) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"activestatus" int4,
|
||||
"updatetime" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"devicedesc" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"runstatus" int4,
|
||||
"statusdesc" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"kernel" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"webversion" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"ipaddr" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"netmask" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"gateway" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"dnsserver0" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"dnsserver1" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"topic" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"serveraddr" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"serverport" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"username" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"clientid" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"privateserveraddr" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"privateserverport" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"privateserverusername" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."device_info"."id" IS '主键id';
|
||||
COMMENT ON COLUMN "public"."device_info"."productname" IS '产品名称
|
||||
彩印车间0
|
||||
生产车间1
|
||||
成型车间2
|
||||
打包车间3';
|
||||
COMMENT ON COLUMN "public"."device_info"."type" IS '设备类型
|
||||
RV400-NPU16T-5G-AR100 0
|
||||
RV400-NPU4T-5G-SR100 1
|
||||
M528-A800-5G-HM100 2
|
||||
RV400-4G-FR100 3
|
||||
M168-LoRa-FM100 4';
|
||||
COMMENT ON COLUMN "public"."device_info"."no" IS '设备编号';
|
||||
COMMENT ON COLUMN "public"."device_info"."activestatus" IS '设备状态 1-已激活 0-未激活';
|
||||
COMMENT ON COLUMN "public"."device_info"."updatetime" IS '更新数据时间';
|
||||
COMMENT ON COLUMN "public"."device_info"."devicedesc" IS '设备描述';
|
||||
COMMENT ON COLUMN "public"."device_info"."runstatus" IS '运行状态：0-待机，1-运行，2-警告';
|
||||
COMMENT ON COLUMN "public"."device_info"."statusdesc" IS '运行状态描述';
|
||||
COMMENT ON COLUMN "public"."device_info"."kernel" IS '内核类型';
|
||||
COMMENT ON COLUMN "public"."device_info"."webversion" IS '内核版本';
|
||||
COMMENT ON COLUMN "public"."device_info"."ipaddr" IS 'ipv4地址';
|
||||
COMMENT ON COLUMN "public"."device_info"."netmask" IS 'ipv4子网掩码';
|
||||
COMMENT ON COLUMN "public"."device_info"."gateway" IS 'ipv4默认网关';
|
||||
COMMENT ON COLUMN "public"."device_info"."dnsserver0" IS '首选dns服务器';
|
||||
COMMENT ON COLUMN "public"."device_info"."dnsserver1" IS '备用dns服务器';
|
||||
COMMENT ON COLUMN "public"."device_info"."topic" IS 'mqtt发布主题';
|
||||
COMMENT ON COLUMN "public"."device_info"."serveraddr" IS 'mqtt服务器地址';
|
||||
COMMENT ON COLUMN "public"."device_info"."serverport" IS 'matt端口';
|
||||
COMMENT ON COLUMN "public"."device_info"."username" IS 'mqtt用户名';
|
||||
COMMENT ON COLUMN "public"."device_info"."clientid" IS 'mqtt客户端id';
|
||||
COMMENT ON COLUMN "public"."device_info"."privateserveraddr" IS '私有协议服务器地址';
|
||||
COMMENT ON COLUMN "public"."device_info"."privateserverport" IS '私有协议端口号';
|
||||
COMMENT ON COLUMN "public"."device_info"."privateserverusername" IS '私有协议用户名';
|
||||
COMMENT ON COLUMN "public"."device_info"."org" IS '所属公司';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of device_info
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901112007aiitxiosdsd', '打包车间', 'RV400-NPU16T-5G-AR100', 'A000005', 1, '2022-09-01 11:20:07', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901112047aiitxiosdsd', '彩印车间', 'M168-LoRa-FM100', 'A000007', 0, '2022-09-01 11:20:47', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901112103aiitxiosdsd', '成型车间', 'M528-A800-5G-HM100', 'A000008', 0, '2022-09-01 11:21:03', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901195013aiitxiosdsd', '成型车间', 'RV400-NPU16T-5G-AR100', 'A000009', 1, '2022-09-01 19:50:13', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901195050aiitxiosdsd', '彩印车间', 'RV400-4G-FR100', 'A000010', 1, '2022-09-01 19:50:50', '电表监测', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901112032aiitxiosdsd', '生产车间', 'RV400-NPU4T-5G-SR100', 'A000006', 1, '2022-09-01 20:12:43', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901201304aiitxiosdsd', '彩印车间', 'RV400-NPU16T-5G-AR100', 'A000011', 1, '2022-09-01 20:13:04', '电表监测', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20220901111814aiitxiosdsd', '彩印车间', 'M168-LoRa-FM100', 'A000001', 1, '2022-09-01 11:18:14', '电表监测', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'dsd');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009180320-hangxiao-hx', '数字工厂', 'M528-A800-5G-HM100', 'A000012', 1, '2022-10-09 18:03:20', '激光切割机', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009163548-hangxiao-hx', '数字工厂', 'RV400-NPU4T-5G-SR100', 'A000013', 1, '2022-10-09 18:08:23', '火焰切割机', 2, '警告', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009180814-hangxiao-hx', '数字工厂', 'RV400-NPU16T-5G-AR100', 'A000015', 1, '2022-10-09 18:08:14', '上料工位2', 2, '警告', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009180843-hangxiao-hx', '数字工厂', 'RV400-NPU4T-5G-SR100', 'A000016', 1, '2022-10-09 18:08:43', '火焰切割机2', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009180859-hangxiao-hx', '数字工厂', 'RV400-NPU4T-5G-SR100', 'A000017', 1, '2022-10-09 18:08:59', '火焰切割机3', 1, '运行', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009180939-hangxiao-hx', '数字工厂', 'RV400-4G-FR100', 'A000018', 1, '2022-10-09 18:09:39', '卧式矫正机', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009181000-hangxiao-hx', '数字工厂', 'M168-LoRa-FM100', 'A000019', 1, '2022-10-09 18:10:00', '抛丸线', 0, '待机', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009181032-hangxiao-hx', '数字工厂', 'M528-A800-5G-HM100', 'A000020', 0, '2022-10-09 18:10:32', '出料缓存工位', 2, '警告', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
INSERT INTO "public"."device_info" VALUES ('20221009181047-hangxiao-hx', '数字工厂', 'RV400-NPU16T-5G-AR100', 'A000021', 0, '2022-10-09 18:10:47', '进料缓存工位', 2, '警告', 'rt-thread kenel', '1.0', '192.168.131.29', '255.255.254.0', '192.168.130.1', '10.0.110.21', '10.0.110.20', '/broadcast/hf6mzwdVnJg/989898', 'zwdVnJg.iot-as-mqtt.cn-shanghai.aliyuncs.com', '1883', 'test1&hf6mzwdVnJg', '123|securemode=3,signmethod=hmacsha1|', '192.168.131.30', '9898', 'admin', 'hxgg');
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table device_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."device_info" ADD CONSTRAINT "device_info_pkey" PRIMARY KEY ("id", "no");
|
||||
|
|
@ -0,0 +1,48 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : 115.238.53.59
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : 115.238.53.59:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 20/10/2022 17:05:04
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for device_log_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."device_log_info";
|
||||
CREATE TABLE "public"."device_log_info" (
|
||||
"device_no" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"log_time" timestamp(6) NOT NULL,
|
||||
"device_type" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"thread_no" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"log_level" int4,
|
||||
"device_log" varchar(500) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."device_log_info"."device_no" IS '设备编号';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."log_time" IS '日志时间';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."device_type" IS '设备类型';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."thread_no" IS '线程号';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."log_level" IS '0=info 1=worring 2= error';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."device_log" IS '日志内容';
|
||||
COMMENT ON COLUMN "public"."device_log_info"."org" IS '所属公司';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of device_log_info
|
||||
-- ----------------------------
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table device_log_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."device_log_info" ADD CONSTRAINT "device_log_info_pkey" PRIMARY KEY ("device_no", "log_time");
|
||||
|
|
@ -0,0 +1,55 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localxiuos
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 30/08/2023 09:42:24
|
||||
*/
|
||||
|
||||
DROP SEQUENCE IF EXISTS "public"."seq_firmware_info";
|
||||
CREATE SEQUENCE "public"."seq_firmware_info"
|
||||
INCREMENT 1
|
||||
MINVALUE 1
|
||||
MAXVALUE 2147483647
|
||||
START 1
|
||||
CACHE 1;
|
||||
ALTER SEQUENCE "public"."seq_firmware_info" OWNER TO "xiuosiot";
|
||||
-- ----------------------------
|
||||
-- Table structure for firmware_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."firmware_info";
|
||||
CREATE TABLE "public"."firmware_info" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_firmware_info'::regclass),
|
||||
"file_name" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"file_version" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"create_time" timestamp(6),
|
||||
"file_md5" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"file_desc" varchar(100) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"verify" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"file_size" int4
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."firmware_info"."id" IS '主键';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_name" IS '固件名';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_version" IS '固件版本';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."create_time" IS '上传时间';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_md5" IS 'md5码';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_desc" IS '固件描述';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."org" IS '所属企业';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."verify" IS '验证状态 未验证 验证成功 验证失败';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_size" IS '文件数量';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table firmware_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."firmware_info" ADD CONSTRAINT "firmware_info_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,139 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 18/04/2023 15:07:48
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for fz_device_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."fz_device_info";
|
||||
CREATE TABLE "public"."fz_device_info" (
|
||||
"fz_device_no" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"fz_device_status" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"fz_device_type" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"fz_device_user" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"fz_outtime" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"fz_remark" varchar(255) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_device_no" IS '设备编号';
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_device_status" IS '设备状态';
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_device_type" IS '设备类型';
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_device_user" IS '设备使用人';
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_outtime" IS '设备出库时间';
|
||||
COMMENT ON COLUMN "public"."fz_device_info"."fz_remark" IS '备注信息
|
||||
';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of fz_device_info
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-3', '', '矽灵通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-4', '盒在', '矽灵通RISCV', '部署杭萧', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-5', '', '矽灵通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-6', '售出', '矽灵通RISCV', '山东大学', '20220602', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-7', '盒在', '矽灵通RISCV', '展架', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-8', '', '矽灵通RISCV', '毕志勇', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-9', '盒在', '矽灵通RISCV', '部署杭萧', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-10', '', '矽灵通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-1', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-2', '', '矽灵通ARN', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-3', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-4', '', '矽灵通ARM', '毕志勇', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-5', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-6', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-7', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-8', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-9', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 4G-10', '', '矽灵通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-1', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-2', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-3', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-4', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-5', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-6', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-7', '', '矽望通', '刘伟超', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-8', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-9', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('M7 A7 5G-10', '', '矽望通', '薛', '20220818', '江西师范');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-1', '售出', '矽慧通', '山东大学', '20220602', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-2', '售出', '矽慧通', '山东大学', '20220602', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-3', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-4', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-5', '', '矽望通', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-6', '', '矽望通', '郭琦康', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-7', '', '矽望通', '薛栋梁', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-8', '', '矽望通', '刘永恺', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-9', '', '矽望通', '', '', '坏');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('MLU220 5G-10', '', '矽望通', '郭琦康', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-1', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-2', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-3', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-4', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-5', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-6', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-7', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-8', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-9', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV 4G-10', '', '矽达通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-1', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-2', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-3', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-4', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-5', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-6', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-7', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-8', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-9', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM 4G-10', '', '矽达通ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('RISCV-1', '', 'AIIT-RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-1', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-2', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-3', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-4', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-5', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-6', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-7', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-8', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-9', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('ARM-10', '', 'AIIT-ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR1', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR2', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR3', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR4', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR5', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR6', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR7', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR8', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR9', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CR10', '', '教学型RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA1', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA2', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA3', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA4', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA5', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA6', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA7', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA8', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA9', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('CA10', '', '教学型ARM', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-1', '盒在', '矽灵通RISCV', '展架', '2023-2-2', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-2', '盒在', '矽灵通RISCV', '', '', '');
|
||||
INSERT INTO "public"."fz_device_info" VALUES ('3559A 5G-100', NULL, NULL, NULL, NULL, NULL);
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table fz_device_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."fz_device_info" ADD CONSTRAINT "fz_device_info_pkey" PRIMARY KEY ("fz_device_no");
|
||||
|
|
@ -0,0 +1,465 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 02/06/2023 16:06:20
|
||||
*/
|
||||
|
||||
DROP SEQUENCE IF EXISTS "public"."seq_gzjc_data";
|
||||
CREATE SEQUENCE "public"."seq_gzjc_data"
|
||||
INCREMENT 1
|
||||
MINVALUE 1
|
||||
MAXVALUE 2147483647
|
||||
START 1
|
||||
CACHE 1;
|
||||
ALTER SEQUENCE "public"."seq_gzjc_data" OWNER TO "xiuosiot";
|
||||
-- ----------------------------
|
||||
-- Table structure for gzjc_data
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."gzjc_data";
|
||||
CREATE TABLE "public"."gzjc_data" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_gzjc_data'::regclass),
|
||||
"o3" numeric(32,2),
|
||||
"co2" numeric(32,2),
|
||||
"so2" numeric(32,2),
|
||||
"no2" numeric(32,2),
|
||||
"nh3" numeric(32,2),
|
||||
"tvoc" numeric(32,2),
|
||||
"ch2o" numeric(32,2),
|
||||
"c2h5oh" numeric(32,2),
|
||||
"ch4" numeric(32,2),
|
||||
"o2" numeric(32,2),
|
||||
"aqs" numeric(32,2),
|
||||
"humidness" numeric(32,2),
|
||||
"temperature" numeric(32,2),
|
||||
"pm1d0" numeric(32,2),
|
||||
"pm2d5" numeric(32,2),
|
||||
"pm10" numeric(32,2),
|
||||
"windspeed" numeric(32,2),
|
||||
"winddirection" numeric(32,2),
|
||||
"airpressure" numeric(32,2),
|
||||
"time" timestamp(0),
|
||||
"noise" numeric(32,2)
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."humidness" IS '湿度';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."temperature" IS '温度';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."pm1d0" IS 'pm1.0';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."pm2d5" IS 'pm2.5';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."pm10" IS 'pm10';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."windspeed" IS '风速';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."winddirection" IS '风向';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."airpressure" IS '气压';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."time" IS '获取时间';
|
||||
COMMENT ON COLUMN "public"."gzjc_data"."noise" IS '噪音';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of gzjc_data
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."gzjc_data" VALUES (330, 36.23, 295.58, 0.00, 0.00, 0.00, 0.35, 0.00, 7.82, 0.00, 28.08, 222.67, 59.80, 17.34, 19.79, 47.70, 54.57, 0.11, 224.00, 931.59, '2023-04-03 18:00:00', 84.38);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (331, 38.89, 265.76, 0.00, 0.00, 0.00, 0.81, 0.00, 1.33, 0.00, 22.20, 227.07, 53.52, 18.83, 18.96, 47.19, 65.87, 0.45, 204.00, 951.28, '2023-04-03 19:00:00', 67.32);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (332, 30.80, 222.27, 0.00, 0.00, 0.00, 0.11, 0.00, 1.87, 0.00, 27.10, 227.87, 35.84, 19.16, 18.35, 48.19, 67.50, 0.77, 200.00, 946.12, '2023-04-03 20:00:00', 31.14);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (333, 38.05, 220.46, 0.00, 0.00, 0.00, 0.07, 0.00, 8.10, 0.00, 28.00, 216.98, 35.34, 24.23, 5.86, 46.17, 52.68, 0.08, 226.00, 955.86, '2023-04-03 21:00:00', 72.72);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (334, 38.83, 209.41, 0.00, 0.00, 0.00, 0.76, 0.00, 4.46, 0.00, 23.40, 222.04, 40.24, 20.02, 4.79, 46.49, 62.59, 0.11, 212.00, 935.76, '2023-04-03 22:00:00', 47.64);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (335, 30.13, 218.78, 0.00, 0.00, 0.00, 0.35, 0.00, 0.52, 0.00, 24.27, 219.98, 57.79, 22.96, 15.34, 34.50, 65.27, 0.93, 227.00, 955.09, '2023-04-03 23:00:00', 74.28);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (336, 37.15, 272.75, 0.00, 0.00, 0.00, 0.67, 0.00, 0.84, 0.00, 27.58, 206.31, 44.94, 16.53, 0.93, 32.12, 68.88, 0.25, 225.00, 995.63, '2023-04-04 00:00:00', 100.46);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (337, 35.98, 261.97, 0.00, 0.00, 0.00, 0.04, 0.00, 8.80, 0.00, 20.30, 211.55, 52.60, 15.85, 5.80, 45.54, 54.82, 0.88, 206.00, 975.72, '2023-04-04 01:00:00', 41.09);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (338, 30.02, 232.77, 0.00, 0.00, 0.00, 0.34, 0.00, 0.35, 0.00, 23.72, 229.96, 32.88, 23.24, 10.02, 47.05, 69.29, 0.93, 202.00, 977.97, '2023-04-04 02:00:00', 63.38);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (339, 38.27, 258.20, 0.00, 0.00, 0.00, 0.59, 0.00, 1.06, 0.00, 22.04, 226.80, 38.73, 17.24, 8.71, 35.43, 69.22, 0.88, 217.00, 929.43, '2023-04-04 03:00:00', 38.71);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (340, 32.80, 211.85, 0.00, 0.00, 0.00, 0.91, 0.00, 1.18, 0.00, 21.17, 214.18, 47.04, 22.44, 16.34, 43.28, 52.82, 0.49, 216.00, 933.68, '2023-04-04 04:00:00', 40.50);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (341, 34.59, 266.29, 0.00, 0.00, 0.00, 0.36, 0.00, 3.45, 0.00, 23.95, 202.58, 30.20, 23.47, 9.18, 39.66, 54.82, 0.98, 201.00, 969.37, '2023-04-04 05:00:00', 89.59);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (342, 35.34, 265.61, 0.00, 0.00, 0.00, 0.08, 0.00, 1.37, 0.00, 23.69, 201.69, 38.22, 24.02, 14.54, 31.47, 68.14, 0.54, 207.00, 923.80, '2023-04-04 06:00:00', 86.40);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (343, 36.75, 204.86, 0.00, 0.00, 0.00, 0.67, 0.00, 8.39, 0.00, 27.24, 213.26, 46.37, 22.08, 10.06, 32.87, 59.53, 0.38, 207.00, 933.59, '2023-04-04 07:00:00', 64.20);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (344, 33.55, 237.00, 0.00, 0.00, 0.00, 0.03, 0.00, 4.68, 0.00, 28.36, 201.61, 49.93, 21.25, 9.29, 31.41, 50.66, 0.55, 211.00, 975.09, '2023-04-04 08:00:00', 42.95);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (345, 36.47, 243.05, 0.00, 0.00, 0.00, 0.07, 0.00, 0.08, 0.00, 24.44, 225.71, 51.58, 19.42, 3.31, 32.67, 66.90, 0.10, 202.00, 915.19, '2023-04-04 09:00:00', 93.98);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (346, 32.32, 231.29, 0.00, 0.00, 0.00, 0.41, 0.00, 1.73, 0.00, 20.47, 215.51, 40.43, 19.72, 5.45, 30.82, 64.75, 0.30, 200.00, 900.86, '2023-04-04 10:00:00', 83.69);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (347, 35.14, 248.61, 0.00, 0.00, 0.00, 0.49, 0.00, 8.87, 0.00, 21.02, 228.46, 57.68, 15.37, 3.55, 39.35, 59.13, 0.46, 226.00, 959.58, '2023-04-04 14:00:00', 97.08);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (348, 32.83, 269.68, 0.00, 0.00, 0.00, 0.25, 0.00, 5.04, 0.00, 24.25, 222.12, 30.56, 21.57, 6.03, 41.39, 50.38, 0.03, 210.00, 940.33, '2023-04-04 15:00:00', 40.31);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (349, 32.32, 230.11, 0.00, 0.00, 0.00, 0.20, 0.00, 0.27, 0.00, 20.70, 208.79, 42.32, 17.43, 10.16, 32.18, 64.57, 0.78, 229.00, 903.19, '2023-04-04 16:00:00', 68.92);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (350, 35.19, 285.62, 0.00, 0.00, 0.00, 0.77, 0.00, 7.14, 0.00, 20.87, 214.53, 34.16, 20.34, 8.54, 45.83, 60.13, 0.39, 226.00, 977.61, '2023-04-04 17:00:00', 83.37);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (351, 30.55, 299.40, 0.00, 0.00, 0.00, 0.37, 0.00, 5.87, 0.00, 26.11, 214.50, 36.94, 15.40, 1.30, 31.16, 60.70, 0.92, 211.00, 938.06, '2023-04-10 14:00:00', 70.91);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (352, 38.04, 221.09, 0.00, 0.00, 0.00, 0.70, 0.00, 1.14, 0.00, 20.75, 229.05, 31.38, 15.62, 15.78, 43.41, 64.44, 0.28, 221.00, 957.28, '2023-04-10 15:00:00', 44.78);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (353, 39.12, 266.52, 0.00, 0.00, 0.00, 0.01, 0.00, 5.90, 0.00, 29.95, 229.34, 33.65, 15.10, 14.05, 34.08, 58.29, 0.85, 229.00, 998.46, '2023-04-10 16:00:00', 58.77);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (354, 33.65, 208.51, 0.00, 0.00, 0.00, 0.40, 0.00, 4.28, 0.00, 26.98, 206.82, 55.90, 21.66, 17.54, 39.93, 57.84, 0.92, 214.00, 993.37, '2023-04-10 17:00:00', 94.06);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (355, 30.54, 206.09, 0.00, 0.00, 0.00, 0.10, 0.00, 9.13, 0.00, 22.64, 216.96, 55.56, 20.74, 4.73, 46.63, 53.75, 0.13, 212.00, 963.82, '2023-04-12 12:00:00', 93.89);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (356, 32.65, 247.25, 0.00, 0.00, 0.00, 0.91, 0.00, 4.12, 0.00, 28.89, 222.40, 43.24, 17.58, 17.83, 46.54, 58.63, 0.96, 223.00, 986.29, '2023-04-12 13:00:00', 34.57);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (357, 30.95, 208.13, 0.00, 0.00, 0.00, 0.65, 0.00, 1.79, 0.00, 27.50, 209.35, 48.54, 22.76, 9.82, 48.11, 57.34, 0.98, 223.00, 990.61, '2023-04-12 14:00:00', 42.43);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (358, 38.57, 241.41, 0.00, 0.00, 0.00, 0.41, 0.00, 2.33, 0.00, 23.26, 209.43, 55.59, 17.32, 17.56, 37.79, 63.09, 0.25, 209.00, 972.80, '2023-04-12 15:00:00', 91.58);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (359, 32.62, 232.33, 0.00, 0.00, 0.00, 0.18, 0.00, 0.67, 0.00, 22.57, 219.35, 48.94, 15.73, 1.78, 35.86, 54.37, 0.75, 201.00, 904.06, '2023-04-12 16:00:00', 52.49);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (360, 36.82, 226.88, 0.00, 0.00, 0.00, 0.36, 0.00, 8.62, 0.00, 26.00, 215.86, 58.50, 21.98, 15.09, 49.64, 62.93, 0.03, 206.00, 912.52, '2023-04-12 17:00:00', 63.33);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (361, 38.12, 265.88, 0.00, 0.00, 0.00, 0.95, 0.00, 7.82, 0.00, 29.39, 203.27, 44.15, 23.83, 18.90, 41.19, 61.42, 0.46, 216.00, 906.22, '2023-04-18 17:00:00', 65.30);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (362, 39.36, 260.22, 0.00, 0.00, 0.00, 0.47, 0.00, 2.06, 0.00, 21.96, 205.26, 54.42, 21.49, 5.94, 37.49, 66.21, 0.67, 218.00, 939.26, '2023-04-18 18:00:00', 60.94);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (363, 38.51, 227.34, 0.00, 0.00, 0.00, 0.71, 0.00, 4.69, 0.00, 28.07, 215.92, 58.13, 23.01, 9.65, 37.20, 51.39, 0.48, 211.00, 908.25, '2023-04-18 19:00:00', 72.00);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (364, 39.20, 251.15, 0.00, 0.00, 0.00, 0.92, 0.00, 2.33, 0.00, 21.79, 209.16, 58.28, 23.77, 0.06, 41.22, 67.02, 0.15, 205.00, 905.05, '2023-04-18 20:00:00', 44.36);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (365, 30.78, 291.25, 0.00, 0.00, 0.00, 0.85, 0.00, 2.67, 0.00, 20.89, 203.62, 35.35, 15.83, 15.79, 36.66, 60.72, 0.12, 202.00, 901.86, '2023-04-18 21:00:00', 83.79);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (366, 36.75, 284.98, 0.00, 0.00, 0.00, 0.55, 0.00, 1.60, 0.00, 29.83, 209.23, 55.44, 15.10, 9.43, 31.75, 69.30, 0.91, 202.00, 913.63, '2023-04-18 22:00:00', 69.11);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (367, 35.58, 265.33, 0.00, 0.00, 0.00, 0.16, 0.00, 3.72, 0.00, 24.64, 206.56, 38.79, 16.40, 12.60, 35.79, 60.80, 0.65, 229.00, 957.58, '2023-04-18 23:00:00', 36.75);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (368, 38.14, 267.00, 0.00, 0.00, 0.00, 0.37, 0.00, 9.18, 0.00, 26.82, 216.29, 52.56, 21.90, 6.62, 48.23, 68.78, 0.52, 204.00, 907.18, '2023-04-19 00:00:00', 56.31);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (369, 33.02, 240.09, 0.00, 0.00, 0.00, 0.60, 0.00, 1.76, 0.00, 26.41, 222.31, 39.42, 22.59, 13.94, 37.43, 51.85, 0.39, 223.00, 958.23, '2023-04-19 01:00:00', 37.76);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (370, 35.44, 281.80, 0.00, 0.00, 0.00, 0.21, 0.00, 8.86, 0.00, 27.51, 207.67, 34.12, 21.56, 11.90, 49.33, 61.20, 0.89, 211.00, 999.56, '2023-04-19 02:00:00', 87.93);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (371, 37.84, 209.67, 0.00, 0.00, 0.00, 0.17, 0.00, 8.66, 0.00, 26.53, 201.02, 31.05, 19.84, 14.82, 49.86, 57.90, 0.66, 217.00, 947.42, '2023-04-19 03:00:00', 67.72);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (372, 39.00, 240.56, 0.00, 0.00, 0.00, 0.78, 0.00, 9.96, 0.00, 28.98, 206.75, 43.95, 23.16, 3.16, 32.05, 65.53, 0.96, 223.00, 938.36, '2023-04-19 04:00:00', 48.21);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (373, 36.33, 257.09, 0.00, 0.00, 0.00, 0.69, 0.00, 8.00, 0.00, 21.25, 205.93, 31.62, 24.16, 8.89, 47.59, 59.64, 0.44, 218.00, 960.27, '2023-04-19 05:00:00', 94.80);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (374, 30.81, 278.28, 0.00, 0.00, 0.00, 0.88, 0.00, 7.39, 0.00, 29.87, 200.59, 47.68, 23.54, 16.29, 35.64, 54.95, 0.09, 211.00, 911.57, '2023-04-19 06:00:00', 34.98);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (375, 32.00, 288.63, 0.00, 0.00, 0.00, 0.73, 0.00, 5.65, 0.00, 20.07, 213.81, 37.74, 17.67, 9.97, 32.53, 58.03, 0.68, 224.00, 945.28, '2023-04-19 07:00:00', 87.48);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (376, 30.70, 271.77, 0.00, 0.00, 0.00, 0.08, 0.00, 5.52, 0.00, 23.33, 208.80, 32.07, 19.31, 7.79, 48.59, 58.13, 0.51, 213.00, 960.64, '2023-04-19 08:00:00', 47.23);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (377, 32.74, 276.33, 0.00, 0.00, 0.00, 0.07, 0.00, 9.09, 0.00, 26.35, 215.51, 40.44, 23.72, 15.24, 33.01, 50.48, 0.97, 200.00, 950.47, '2023-04-19 09:00:00', 81.83);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (378, 38.85, 247.23, 0.00, 0.00, 0.00, 0.90, 0.00, 1.99, 0.00, 25.85, 210.31, 35.86, 16.23, 16.20, 42.02, 51.15, 0.89, 220.00, 956.54, '2023-04-19 10:00:00', 65.66);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (379, 35.27, 259.37, 0.00, 0.00, 0.00, 0.53, 0.00, 6.82, 0.00, 25.91, 206.32, 43.41, 23.11, 1.17, 31.59, 62.24, 0.21, 228.00, 961.51, '2023-04-19 11:00:00', 50.12);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (380, 35.62, 219.41, 0.00, 0.00, 0.00, 0.11, 0.00, 5.52, 0.00, 21.86, 228.08, 37.83, 15.16, 15.06, 46.64, 56.91, 0.64, 227.00, 967.17, '2023-04-19 12:00:00', 67.27);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (381, 32.62, 274.73, 0.00, 0.00, 0.00, 0.35, 0.00, 8.06, 0.00, 29.26, 220.24, 42.91, 17.14, 12.77, 38.16, 58.37, 0.60, 215.00, 948.95, '2023-04-19 13:00:00', 82.96);
|
||||
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|
||||
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|
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|
||||
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|
||||
INSERT INTO "public"."gzjc_data" VALUES (659, 36.21, 279.82, 0.00, 0.00, 0.00, 0.93, 0.00, 9.93, 0.00, 28.21, 220.89, 31.29, 22.26, 3.17, 47.18, 65.59, 0.51, 227.00, 973.00, '2023-05-23 08:00:00', 50.00);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (660, 37.74, 205.62, 0.00, 0.00, 0.00, 0.24, 0.00, 5.99, 0.00, 24.99, 205.19, 31.38, 15.92, 4.88, 48.91, 58.07, 0.06, 211.00, 915.00, '2023-05-23 09:00:00', 54.63);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (661, 35.30, 254.91, 0.00, 0.00, 0.00, 0.81, 0.00, 7.99, 0.00, 23.42, 228.04, 51.64, 24.91, 0.82, 34.59, 66.32, 0.91, 207.00, 969.00, '2023-05-23 10:00:00', 65.64);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (662, 38.99, 259.47, 0.00, 0.00, 0.00, 0.91, 0.00, 5.36, 0.00, 27.55, 218.88, 59.88, 16.79, 17.41, 35.11, 69.66, 0.82, 216.00, 979.00, '2023-05-23 11:00:00', 94.23);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (663, 36.87, 203.58, 0.00, 0.00, 0.00, 0.30, 0.00, 4.49, 0.00, 25.05, 215.23, 34.88, 17.84, 13.09, 38.10, 68.53, 0.75, 218.00, 978.00, '2023-05-23 12:00:00', 87.77);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (664, 31.16, 211.79, 0.00, 0.00, 0.00, 0.55, 0.00, 3.38, 0.00, 24.86, 217.80, 40.99, 20.83, 9.25, 33.19, 58.47, 0.91, 211.00, 921.00, '2023-05-23 13:00:00', 72.11);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (665, 31.68, 232.56, 0.00, 0.00, 0.00, 0.33, 0.00, 2.95, 0.00, 23.47, 222.36, 53.16, 24.52, 17.63, 41.30, 62.61, 0.79, 218.00, 914.00, '2023-05-23 14:00:00', 48.79);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (666, 34.05, 275.30, 0.00, 0.00, 0.00, 0.85, 0.00, 1.47, 0.00, 25.02, 200.84, 46.52, 16.96, 5.89, 49.25, 54.76, 0.84, 218.00, 986.00, '2023-05-23 15:00:00', 63.21);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (667, 31.70, 254.72, 0.00, 0.00, 0.00, 0.83, 0.00, 4.29, 0.00, 21.53, 226.32, 56.00, 20.09, 8.57, 39.16, 59.35, 0.60, 226.00, 916.00, '2023-05-23 16:00:00', 85.36);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (668, 38.63, 272.68, 0.00, 0.00, 0.00, 0.59, 0.00, 2.25, 0.00, 25.33, 229.24, 48.90, 18.73, 2.90, 49.75, 66.66, 0.96, 224.00, 985.00, '2023-05-23 17:00:00', 54.31);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (669, 30.93, 270.30, 0.00, 0.00, 0.00, 0.99, 0.00, 8.58, 0.00, 29.12, 210.92, 44.59, 21.03, 8.07, 41.00, 64.86, 0.70, 210.00, 956.00, '2023-05-23 18:00:00', 83.02);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (670, 37.58, 270.37, 0.00, 0.00, 0.00, 0.72, 0.00, 6.68, 0.00, 27.42, 218.85, 37.27, 17.15, 7.75, 35.90, 52.92, 0.04, 200.00, 914.00, '2023-05-23 19:00:00', 87.05);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (671, 37.76, 270.13, 0.00, 0.00, 0.00, 0.65, 0.00, 8.94, 0.00, 22.12, 228.98, 44.16, 21.06, 5.81, 35.32, 55.76, 0.02, 212.00, 926.00, '2023-05-23 20:00:00', 32.74);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (672, 36.54, 279.18, 0.00, 0.00, 0.00, 0.07, 0.00, 2.38, 0.00, 29.83, 217.95, 38.58, 20.75, 9.55, 35.38, 56.00, 0.88, 209.00, 967.00, '2023-05-23 21:00:00', 95.54);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (673, 34.28, 250.07, 0.00, 0.00, 0.00, 0.48, 0.00, 9.61, 0.00, 20.21, 212.82, 46.97, 17.22, 2.30, 36.93, 62.12, 0.00, 203.00, 937.00, '2023-05-23 22:00:00', 43.40);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (674, 35.20, 272.79, 0.00, 0.00, 0.00, 0.25, 0.00, 0.98, 0.00, 20.88, 224.34, 36.47, 17.74, 2.56, 43.28, 68.36, 0.31, 222.00, 974.00, '2023-05-23 23:00:00', 31.38);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (675, 32.53, 255.35, 0.00, 0.00, 0.00, 0.09, 0.00, 7.45, 0.00, 28.94, 211.33, 51.63, 21.88, 15.78, 34.14, 68.04, 0.11, 205.00, 992.00, '2023-05-24 00:00:18', 55.80);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (676, 39.61, 226.95, 0.00, 0.00, 0.00, 0.86, 0.00, 7.55, 0.00, 28.45, 229.34, 45.21, 19.22, 7.12, 36.12, 51.56, 0.33, 217.00, 962.00, '2023-05-24 01:00:00', 35.92);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (677, 33.76, 293.02, 0.00, 0.00, 0.00, 0.12, 0.00, 0.73, 0.00, 23.81, 223.37, 57.52, 23.26, 14.39, 40.28, 51.21, 0.28, 201.00, 956.00, '2023-05-24 02:00:00', 89.61);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (678, 39.78, 253.83, 0.00, 0.00, 0.00, 0.50, 0.00, 3.76, 0.00, 25.03, 203.22, 53.51, 19.54, 3.30, 44.29, 67.58, 0.58, 219.00, 933.00, '2023-05-24 03:00:00', 39.31);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (679, 30.14, 234.32, 0.00, 0.00, 0.00, 0.85, 0.00, 7.30, 0.00, 22.29, 220.72, 55.93, 24.41, 13.01, 32.53, 68.11, 0.20, 223.00, 929.00, '2023-05-24 04:00:00', 97.37);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (680, 30.50, 272.42, 0.00, 0.00, 0.00, 0.88, 0.00, 4.33, 0.00, 29.40, 211.67, 42.46, 19.33, 5.98, 37.11, 68.50, 0.21, 227.00, 997.00, '2023-05-24 05:00:00', 93.79);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (681, 37.85, 269.76, 0.00, 0.00, 0.00, 0.54, 0.00, 6.63, 0.00, 24.07, 227.36, 54.77, 17.05, 15.32, 35.59, 57.25, 0.09, 201.00, 916.00, '2023-05-24 06:00:00', 30.28);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (682, 35.76, 205.93, 0.00, 0.00, 0.00, 0.78, 0.00, 3.27, 0.00, 21.63, 200.48, 36.14, 18.81, 19.76, 33.82, 69.22, 0.06, 200.00, 988.00, '2023-05-24 07:00:00', 89.71);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (683, 36.78, 250.93, 0.00, 0.00, 0.00, 0.78, 0.00, 4.83, 0.00, 21.69, 209.49, 33.44, 21.17, 10.13, 31.77, 55.48, 0.76, 228.00, 949.00, '2023-05-24 08:00:00', 59.58);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (684, 36.68, 279.11, 0.00, 0.00, 0.00, 0.59, 0.00, 9.56, 0.00, 24.39, 228.62, 40.58, 16.55, 12.52, 31.27, 60.58, 0.62, 227.00, 992.00, '2023-05-24 09:00:00', 96.01);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (685, 31.37, 250.16, 0.00, 0.00, 0.00, 0.73, 0.00, 4.34, 0.00, 24.37, 201.33, 59.79, 23.78, 3.35, 47.73, 69.79, 0.69, 222.00, 934.00, '2023-05-24 10:00:00', 65.34);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (686, 39.05, 261.30, 0.00, 0.00, 0.00, 0.09, 0.00, 6.07, 0.00, 25.09, 221.11, 37.29, 17.35, 17.51, 39.70, 64.59, 0.44, 204.00, 931.00, '2023-05-24 11:00:00', 95.43);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (687, 30.01, 229.08, 0.00, 0.00, 0.00, 0.32, 0.00, 2.27, 0.00, 27.61, 210.99, 59.19, 15.65, 9.65, 36.82, 68.19, 0.83, 224.00, 971.00, '2023-05-24 12:00:00', 63.12);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (688, 32.90, 257.77, 0.00, 0.00, 0.00, 0.74, 0.00, 4.38, 0.00, 29.71, 229.84, 52.38, 19.65, 10.84, 47.34, 60.98, 0.90, 210.00, 951.00, '2023-05-24 13:00:00', 55.85);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (689, 39.15, 252.83, 0.00, 0.00, 0.00, 0.84, 0.00, 9.66, 0.00, 28.96, 213.28, 57.42, 15.54, 1.86, 30.92, 57.56, 0.72, 213.00, 918.00, '2023-05-24 14:00:00', 88.75);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (690, 36.20, 284.00, 0.00, 0.00, 0.00, 0.92, 0.00, 1.56, 0.00, 26.45, 207.72, 49.28, 19.40, 7.39, 30.22, 61.23, 0.99, 222.00, 972.00, '2023-05-24 15:00:00', 47.64);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (691, 30.64, 251.80, 0.00, 0.00, 0.00, 0.85, 0.00, 5.95, 0.00, 27.72, 215.67, 39.69, 22.78, 12.29, 35.20, 51.85, 0.90, 211.00, 978.00, '2023-05-24 16:00:00', 77.88);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (692, 36.42, 283.24, 0.00, 0.00, 0.00, 0.61, 0.00, 7.98, 0.00, 24.62, 219.67, 51.05, 18.87, 12.72, 49.48, 53.36, 0.16, 228.00, 953.00, '2023-06-01 11:00:00', 77.95);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (693, 30.39, 264.65, 0.00, 0.00, 0.00, 0.64, 0.00, 2.55, 0.00, 25.79, 215.88, 47.91, 17.51, 7.32, 35.94, 68.94, 0.92, 216.00, 922.00, '2023-06-01 12:00:00', 83.02);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (694, 30.43, 241.17, 0.00, 0.00, 0.00, 0.32, 0.00, 1.61, 0.00, 26.89, 219.67, 44.68, 18.97, 18.24, 44.47, 64.22, 0.07, 212.00, 900.00, '2023-06-01 13:00:00', 77.44);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (695, 39.90, 287.95, 0.00, 0.00, 0.00, 0.91, 0.00, 1.49, 0.00, 24.38, 207.54, 48.34, 16.69, 2.41, 31.84, 51.54, 0.85, 204.00, 916.00, '2023-06-01 14:00:00', 38.15);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (696, 38.88, 203.46, 0.00, 0.00, 0.00, 0.94, 0.00, 6.73, 0.00, 27.02, 219.72, 33.89, 19.42, 7.41, 44.12, 62.65, 0.84, 210.00, 919.00, '2023-06-01 15:00:00', 55.37);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (697, 34.61, 220.66, 0.00, 0.00, 0.00, 0.41, 0.00, 7.02, 0.00, 21.83, 202.50, 44.10, 24.02, 9.90, 47.54, 53.54, 0.73, 212.00, 961.00, '2023-06-01 16:00:00', 98.32);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (698, 33.47, 282.34, 0.00, 0.00, 0.00, 0.67, 0.00, 1.74, 0.00, 28.43, 212.98, 58.68, 21.49, 2.43, 30.99, 63.87, 0.28, 205.00, 926.00, '2023-06-01 17:00:00', 92.92);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (699, 31.51, 246.97, 0.00, 0.00, 0.00, 0.67, 0.00, 1.05, 0.00, 25.07, 204.68, 57.18, 21.26, 5.14, 47.49, 59.39, 0.74, 206.00, 994.00, '2023-06-01 18:00:00', 76.32);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (700, 30.04, 270.61, 0.00, 0.00, 0.00, 0.46, 0.00, 5.77, 0.00, 23.76, 229.95, 38.78, 16.22, 6.98, 37.55, 68.41, 0.16, 210.00, 992.00, '2023-06-01 19:00:00', 77.92);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (701, 38.27, 207.51, 0.00, 0.00, 0.00, 0.94, 0.00, 5.01, 0.00, 25.43, 214.10, 59.81, 15.16, 9.79, 35.38, 52.52, 0.99, 205.00, 911.00, '2023-06-01 20:00:00', 85.29);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (702, 34.42, 259.42, 0.00, 0.00, 0.00, 0.25, 0.00, 7.54, 0.00, 21.76, 215.09, 41.43, 24.15, 19.62, 31.03, 59.89, 0.91, 227.00, 955.00, '2023-06-01 21:00:00', 50.73);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (703, 31.02, 204.88, 0.00, 0.00, 0.00, 0.37, 0.00, 7.13, 0.00, 27.37, 210.15, 38.30, 17.40, 12.90, 38.23, 68.43, 0.97, 200.00, 902.00, '2023-06-01 22:00:00', 34.31);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (704, 36.80, 214.17, 0.00, 0.00, 0.00, 0.32, 0.00, 3.02, 0.00, 25.48, 216.26, 43.00, 16.11, 12.92, 45.56, 61.13, 0.55, 201.00, 904.00, '2023-06-01 23:00:00', 68.56);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (705, 34.84, 231.61, 0.00, 0.00, 0.00, 0.20, 0.00, 9.30, 0.00, 24.46, 208.22, 30.27, 23.79, 16.83, 48.16, 53.13, 0.87, 206.00, 947.00, '2023-06-02 00:00:18', 83.36);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (706, 32.15, 267.41, 0.00, 0.00, 0.00, 0.50, 0.00, 2.64, 0.00, 25.01, 211.48, 51.39, 15.98, 3.31, 35.85, 56.86, 0.39, 229.00, 959.00, '2023-06-02 01:00:00', 51.43);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (707, 37.19, 277.88, 0.00, 0.00, 0.00, 0.18, 0.00, 0.66, 0.00, 20.17, 217.72, 53.91, 17.25, 4.07, 37.42, 69.01, 0.09, 212.00, 959.00, '2023-06-02 02:00:00', 59.04);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (708, 36.87, 230.12, 0.00, 0.00, 0.00, 0.29, 0.00, 1.23, 0.00, 28.17, 213.81, 40.22, 17.75, 1.68, 46.76, 54.42, 0.46, 224.00, 936.00, '2023-06-02 03:00:00', 97.08);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (709, 33.26, 256.24, 0.00, 0.00, 0.00, 0.20, 0.00, 6.92, 0.00, 25.17, 227.58, 30.01, 15.34, 10.25, 32.64, 67.13, 0.54, 229.00, 916.00, '2023-06-02 04:00:00', 92.86);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (710, 34.69, 210.98, 0.00, 0.00, 0.00, 0.85, 0.00, 8.21, 0.00, 21.85, 222.57, 38.92, 16.45, 16.27, 44.83, 51.80, 0.29, 224.00, 929.00, '2023-06-02 05:00:00', 33.83);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (711, 39.10, 228.83, 0.00, 0.00, 0.00, 0.51, 0.00, 9.22, 0.00, 27.28, 221.74, 33.39, 20.93, 1.62, 43.71, 58.57, 0.06, 219.00, 953.00, '2023-06-02 06:00:00', 49.90);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (712, 39.07, 205.34, 0.00, 0.00, 0.00, 0.97, 0.00, 6.10, 0.00, 26.21, 215.65, 56.26, 19.16, 1.19, 37.10, 61.01, 0.87, 218.00, 992.00, '2023-06-02 07:00:00', 39.23);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (713, 38.75, 244.66, 0.00, 0.00, 0.00, 0.19, 0.00, 7.60, 0.00, 21.54, 212.73, 50.77, 24.30, 7.08, 47.04, 67.43, 0.69, 208.00, 978.00, '2023-06-02 08:00:00', 39.95);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (714, 32.34, 236.84, 0.00, 0.00, 0.00, 0.43, 0.00, 7.20, 0.00, 27.64, 215.69, 56.27, 18.32, 19.53, 33.35, 65.54, 0.56, 227.00, 973.00, '2023-06-02 09:00:00', 95.73);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (715, 39.88, 245.38, 0.00, 0.00, 0.00, 0.13, 0.00, 0.44, 0.00, 25.90, 214.55, 41.43, 17.72, 2.85, 34.82, 68.89, 0.41, 212.00, 903.00, '2023-06-02 10:00:00', 52.04);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (716, 37.16, 298.63, 0.00, 0.00, 0.00, 0.56, 0.00, 4.11, 0.00, 24.85, 229.16, 36.16, 16.66, 1.97, 35.10, 69.45, 0.47, 218.00, 985.00, '2023-06-02 11:00:00', 55.74);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (717, 38.88, 296.26, 0.00, 0.00, 0.00, 0.72, 0.00, 2.69, 0.00, 22.21, 223.15, 43.46, 21.28, 13.07, 37.56, 57.35, 0.80, 212.00, 993.00, '2023-06-02 12:00:00', 54.85);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (718, 30.86, 221.28, 0.00, 0.00, 0.00, 0.10, 0.00, 1.63, 0.00, 23.01, 217.40, 40.57, 24.93, 3.75, 34.31, 60.94, 0.52, 228.00, 954.00, '2023-06-02 13:00:00', 79.71);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (719, 34.01, 241.11, 0.00, 0.00, 0.00, 0.52, 0.00, 8.69, 0.00, 25.53, 226.45, 44.04, 21.19, 16.89, 49.16, 52.81, 0.20, 213.00, 923.00, '2023-06-02 14:00:00', 72.75);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (720, 32.52, 257.38, 0.00, 0.00, 0.00, 0.97, 0.00, 5.29, 0.00, 25.56, 213.01, 35.09, 19.25, 10.74, 31.68, 61.75, 0.31, 223.00, 905.00, '2023-06-02 15:00:00', 76.99);
|
||||
INSERT INTO "public"."gzjc_data" VALUES (721, 31.04, 217.36, 0.00, 0.00, 0.00, 0.98, 0.00, 8.83, 0.00, 26.08, 204.67, 40.52, 19.06, 7.86, 32.83, 67.97, 0.24, 227.00, 913.00, '2023-06-02 16:00:00', 58.72);
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table gzjc_data
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."gzjc_data" ADD CONSTRAINT "gzjc_data_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,58 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localxiuos
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 12/12/2023 10:33:51
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for lora_device_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."lora_device_info";
|
||||
CREATE TABLE "public"."lora_device_info" (
|
||||
"dev_eui" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"join_eui" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"name" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"app_key" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"support_otaa" bool,
|
||||
"support_classc" bool,
|
||||
"gatewayid" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark1" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark2" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark3" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark4" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"status" int4,
|
||||
"remark5" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."dev_eui" IS '终端ID';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."join_eui" IS '应用ID';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."name" IS '节点名称';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."app_key" IS '应用密钥';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."support_otaa" IS '是否支持OTAA';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."support_classc" IS '是否支持ClassC';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."gatewayid" IS '所属网关';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."remark1" IS '预留字段1';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."remark2" IS '预留字段2';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."org" IS '所属企业';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."remark3" IS '预留字段3';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."remark4" IS '预留字段4';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."status" IS '1-在线，2-离线，0-从未连接';
|
||||
COMMENT ON COLUMN "public"."lora_device_info"."remark5" IS '预留字段5';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table lora_device_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."lora_device_info" ADD CONSTRAINT "lora_device_info_pkey" PRIMARY KEY ("dev_eui");
|
||||
|
|
@ -0,0 +1,52 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localxiuos
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 12/12/2023 10:33:59
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for lora_gateway_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."lora_gateway_info";
|
||||
CREATE TABLE "public"."lora_gateway_info" (
|
||||
"name" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"gatewayid" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"device_num" int4,
|
||||
"last_connect" timestamp(6),
|
||||
"status" int4,
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark1" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark2" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark3" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark4" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"remark5" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."name" IS '网关名称';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."gatewayid" IS '网关id';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."device_num" IS '所属设备数量';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."last_connect" IS '上次连接时间';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."status" IS '1-在线，2-离线，0-从未连接';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."org" IS '所属企业';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."remark1" IS '预留字段1';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."remark2" IS '预留字段2';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."remark3" IS '预留字段3';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."remark4" IS '预留字段4';
|
||||
COMMENT ON COLUMN "public"."lora_gateway_info"."remark5" IS '预留字段5';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table lora_gateway_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."lora_gateway_info" ADD CONSTRAINT "lora_gateway_info_pkey" PRIMARY KEY ("gatewayid");
|
||||
|
|
@ -0,0 +1,57 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localxiuos
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 30/08/2023 09:42:15
|
||||
*/
|
||||
DROP SEQUENCE IF EXISTS "public"."seq_ota_info";
|
||||
CREATE SEQUENCE "public"."seq_ota_info"
|
||||
INCREMENT 1
|
||||
MINVALUE 1
|
||||
MAXVALUE 2147483647
|
||||
START 1
|
||||
CACHE 1;
|
||||
ALTER SEQUENCE "public"."seq_ota_info" OWNER TO "xiuosiot";
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for ota_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."ota_info";
|
||||
CREATE TABLE "public"."ota_info" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_ota_info'::regclass),
|
||||
"file_name" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"device_id" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"current_process" int4,
|
||||
"status" int4,
|
||||
"create_time" timestamp(6),
|
||||
"update_type" int4,
|
||||
"timeout" timestamp(6),
|
||||
"file_version" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."ota_info"."id" IS '升级序列号';
|
||||
COMMENT ON COLUMN "public"."ota_info"."file_name" IS '固件名称';
|
||||
COMMENT ON COLUMN "public"."ota_info"."device_id" IS '升级设备名';
|
||||
COMMENT ON COLUMN "public"."ota_info"."current_process" IS '当前进度';
|
||||
COMMENT ON COLUMN "public"."ota_info"."status" IS '0 失败 1 成功 2进行中 3未开始';
|
||||
COMMENT ON COLUMN "public"."ota_info"."create_time" IS '建立时间';
|
||||
COMMENT ON COLUMN "public"."ota_info"."update_type" IS '0 立刻升级 1 凌晨12点升级';
|
||||
COMMENT ON COLUMN "public"."ota_info"."timeout" IS '超时时间';
|
||||
COMMENT ON COLUMN "public"."ota_info"."file_version" IS '固件版本';
|
||||
COMMENT ON COLUMN "public"."ota_info"."org" IS '所属公司';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table ota_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."ota_info" ADD CONSTRAINT "ota_info_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 23/09/2022 17:26:29
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for protocol_product_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."protocol_product_info";
|
||||
CREATE TABLE "public"."protocol_product_info" (
|
||||
"product_name" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"protocol_type" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"read_item_list" varchar(5000) COLLATE "pg_catalog"."default",
|
||||
"updatetime" timestamp(6),
|
||||
"device_id" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"device_name" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"socket_config" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"read_period" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."product_name" IS '产品名称';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."protocol_type" IS '协议类型';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."read_item_list" IS '配方列表';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."updatetime" IS '更新时间';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."device_id" IS '设备id';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."device_name" IS '设备名称';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."socket_config" IS 'socket配置';
|
||||
COMMENT ON COLUMN "public"."protocol_product_info"."read_period" IS '读取间隔';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of protocol_product_info
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."protocol_product_info" VALUES ('PLC_FINS_1', 'FINS', '[{"value_name":"启动","value_type":1,"area_char":"W","data_type":0,"start_address":0,"bit_address":0,"data_length":1},{"value_name":"停止","value_type":1,"area_char":"W","data_type":0,"start_address":0,"bit_address":1,"data_length":1},{"value_name":"使能","value_type":1,"area_char":"H","data_type":0,"start_address":0,"bit_address":2,"data_length":1},{"value_name":"回零","value_type":1,"area_char":"D","data_type":0,"start_address":0,"bit_address":3,"data_length":1},{"value_name":"急停","value_type":1,"area_char":"W","data_type":0,"start_address":0,"bit_address":4,"data_length":1},{"value_name":"正限位","value_type":1,"area_char":"W","data_type":0,"start_address":10,"bit_address":11,"data_length":1},{"value_name":"负限位","value_type":1,"area_char":"W","data_type":0,"start_address":10,"bit_address":12,"data_length":1},{"value_name":"自动运行中","value_type":1,"area_char":"W","data_type":0,"start_address":200,"bit_address":5,"data_length":1},{"value_name":"故障","value_type":1,"area_char":"W","data_type":0,"start_address":200,"bit_address":6,"data_length":1},{"value_name":"待机","value_type":1,"area_char":"W","data_type":0,"start_address":200,"bit_address":7,"data_length":1},{"value_name":"手动模式","value_type":1,"area_char":"W","data_type":0,"start_address":300,"bit_address":0,"data_length":1},{"value_name":"自动模式","value_type":1,"area_char":"W","data_type":0,"start_address":300,"bit_address":1,"data_length":1},{"value_name":"运行方向","value_type":1,"area_char":"W","data_type":0,"start_address":300,"bit_address":2,"data_length":1},{"value_name":"复位","value_type":1,"area_char":"W","data_type":0,"start_address":400,"bit_address":3,"data_length":1},{"value_name":"备用1","value_type":1,"area_char":"W","data_type":0,"start_address":400,"bit_address":4,"data_length":1},{"value_name":"产量","value_type":3,"area_char":"D","data_type":1,"start_address":10,"bit_address":0,"data_length":1},{"value_name":"整型1","value_type":3,"area_char":"D","data_type":1,"start_address":11,"bit_address":0,"data_length":1},{"value_name":"整型2","value_type":3,"area_char":"D","data_type":1,"start_address":20,"bit_address":0,"data_length":1},{"value_name":"整型3","value_type":3,"area_char":"D","data_type":1,"start_address":100,"bit_address":0,"data_length":1},{"value_name":"整型4","value_type":3,"area_char":"W","data_type":1,"start_address":100,"bit_address":0,"data_length":1},{"value_name":"整型5","value_type":3,"area_char":"W","data_type":1,"start_address":101,"bit_address":0,"data_length":1},{"value_name":"整型6","value_type":3,"area_char":"W","data_type":1,"start_address":110,"bit_address":0,"data_length":1},{"value_name":"整型7","value_type":3,"area_char":"H","data_type":1,"start_address":10,"bit_address":0,"data_length":1},{"value_name":"整型8","value_type":3,"area_char":"H","data_type":1,"start_address":20,"bit_address":0,"data_length":1},{"value_name":"整型9","value_type":3,"area_char":"H","data_type":1,"start_address":21,"bit_address":0,"data_length":1},{"value_name":"速度","value_type":9,"area_char":"D","data_type":1,"start_address":2000,"bit_address":0,"data_length":2},{"value_name":"加速度","value_type":9,"area_char":"D","data_type":1,"start_address":2002,"bit_address":0,"data_length":2},{"value_name":"减速度","value_type":9,"area_char":"D","data_type":1,"start_address":2004,"bit_address":0,"data_length":2},{"value_name":"起始位置","value_type":9,"area_char":"D","data_type":1,"start_address":300,"bit_address":0,"data_length":2},{"value_name":"终点位置","value_type":9,"area_char":"D","data_type":1,"start_address":302,"bit_address":0,"data_length":2},{"value_name":"张力值","value_type":9,"area_char":"W","data_type":1,"start_address":80,"bit_address":0,"data_length":2},{"value_name":"浮点型1","value_type":8,"area_char":"H","data_type":1,"start_address":100,"bit_address":0,"data_length":4},{"value_name":"浮点型2","value_type":8,"area_char":"H","data_type":1,"start_address":104,"bit_address":0,"data_length":4},{"value_name":"浮点型3","value_type":8,"area_char":"H","data_type":1,"start_address":108,"bit_address":0,"data_length":4},{"value_name":"浮点型4","value_type":8,"area_char":"H","data_type":1,"start_address":112,"bit_address":0,"data_length":4}]', '2022-09-21 14:43:23', '769', 'S01', '{"plc_ip":"192.168.250.22","local_ip":"192.168.250.233","port":9600}', '100');
|
||||
INSERT INTO "public"."protocol_product_info" VALUES ('PLC_S7_1', 'S7', '[{"value_name":"手动模式","value_type":"BOOL","data_type":"Bit","function_code":"","area_char":"M","start_address":"1","bit_address":"","db_number":"0","data_length":"1","command_type":"","monitoring_timer":""}]', '2022-09-22 14:29:20', '800', 'S04', '{"plc_ip":"192.168.250.22","local_ip":"192.168.250.233","stop_bits":"","baud_rate":"","data_bits":"","port":"9797","check_mode":""}', '120');
|
||||
INSERT INTO "public"."protocol_product_info" VALUES ('PLC_Modbus_1', 'Modbus', '[{"value_name":"整型1","value_type":"BOOL","function_code":"01","start_address":"0","data_length":"1"}]', '2022-09-22 14:30:22', '900', 'S04', '{"plc_ip":"192.168.250.22","local_ip":"192.168.250.233","stop_bits":"","baud_rate":"","data_bits":"","port":"9898","check_mode":""}', '200');
|
||||
INSERT INTO "public"."protocol_product_info" VALUES ('PLC_MC_1', 'MC', '[{"value_name":"启动","value_type":"BOOL","data_type":"","function_code":"","area_char":"M","start_address":"1","bit_address":"","db_number":"","data_length":"1","command_type":"位读","monitoring_timer":"1"}]', '2022-09-22 15:11:49', '700', 'S03', '{"plc_ip":"192.168.250.22","local_ip":"192.168.250.233","stop_bits":2,"baud_rate":2400,"data_bits":6,"port":"9600","check_mode":"NONE"}', '120');
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table protocol_product_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."protocol_product_info" ADD CONSTRAINT "protocol_product_info_pkey" PRIMARY KEY ("product_name");
|
||||
|
|
@ -0,0 +1,75 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 01/12/2022 09:45:33
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for qjdq_electric
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."qjdq_electric";
|
||||
CREATE TABLE "public"."qjdq_electric" (
|
||||
"id" int4 NOT NULL,
|
||||
"electric2" numeric(32,2),
|
||||
"electric3" numeric(32,2),
|
||||
"electric4" numeric(32,2),
|
||||
"electric5" numeric(32,2),
|
||||
"electric6" numeric(32,2),
|
||||
"electric7" numeric(32,2),
|
||||
"electric8" numeric(32,2),
|
||||
"electric9" numeric(32,2),
|
||||
"electric10" numeric(32,2),
|
||||
"electric11" numeric(32,2),
|
||||
"electric12" numeric(32,2),
|
||||
"electric13" numeric(32,2),
|
||||
"electric14" numeric(32,2),
|
||||
"electric15" numeric(32,2),
|
||||
"electric16" numeric(32,2),
|
||||
"electric17" numeric(32,2),
|
||||
"electric18" numeric(32,2),
|
||||
"electric19" numeric(32,2),
|
||||
"electric20" numeric(32,2),
|
||||
"electric21" numeric(32,2),
|
||||
"electric22" numeric(32,2),
|
||||
"electric23" numeric(32,2),
|
||||
"electric24" numeric(32,2),
|
||||
"electric25" numeric(32,2),
|
||||
"electric26" numeric(32,2),
|
||||
"electric27" numeric(32,2),
|
||||
"electric28" numeric(32,2),
|
||||
"electric29" numeric(32,2),
|
||||
"electric30" numeric(32,2),
|
||||
"electric31" numeric(32,2),
|
||||
"electric32" numeric(32,2),
|
||||
"electric33" numeric(32,2),
|
||||
"electric34" numeric(32,2),
|
||||
"electric35" numeric(32,2),
|
||||
"electric36" numeric(32,2),
|
||||
"electric37" numeric(32,2),
|
||||
"electric38" numeric(32,2),
|
||||
"electric39" numeric(32,2),
|
||||
"electric40" numeric(32,2)
|
||||
)
|
||||
;
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of qjdq_electric
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."qjdq_electric" VALUES (1, 431.06, 4333.21, 300.82, 950.45, 419.11, 739.29, 834.95, 1081.94, 225.48, 347.95, 1046.34, 479.82, 360.72, 597.59, 324.69, 819.82, 357.55, 598.83, 704.66, 738.77, 534.65, 628.55, 298.17, 714.69, 380.91, 238.44, 461.27, 857.35, 1102.83, 334.41, 778.34, 243.03, 1086.05, 876.30, 316.14, 863.24, 241.05, 515.37, 395.21);
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table qjdq_electric
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."qjdq_electric" ADD CONSTRAINT "qjdq_electric_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,62 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : 115.238.53.59
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : 115.238.53.59:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 19/10/2022 10:34:58
|
||||
*/
|
||||
|
||||
DROP SEQUENCE IF EXISTS "public"."seq_request_log_info";
|
||||
CREATE SEQUENCE "public"."seq_request_log_info"
|
||||
INCREMENT 1
|
||||
MINVALUE 1
|
||||
MAXVALUE 2147483647
|
||||
START 1
|
||||
CACHE 1;
|
||||
ALTER SEQUENCE "public"."seq_request_log_info" OWNER TO "xiuosiot";
|
||||
-- ----------------------------
|
||||
-- Table structure for request_log_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."request_log_info";
|
||||
CREATE TABLE "public"."request_log_info" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_request_log_info'::regclass),
|
||||
"classname" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"methodname" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"requestparam" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"requestip" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"requestresult" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"requestheader" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"requesturl" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"requesttime" timestamp(6),
|
||||
"processtime" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"requesttype" varchar(4) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."request_log_info"."id" IS '主键id ';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."classname" IS '类名';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."methodname" IS '方法名';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requestparam" IS '请求参数
|
||||
请求参数';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requestip" IS '请求ip';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requestresult" IS '请求结果';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requestheader" IS '请求头';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requesturl" IS '请求url';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requesttime" IS '请求时间';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."processtime" IS '请求耗时';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."requesttype" IS '请求方式';
|
||||
COMMENT ON COLUMN "public"."request_log_info"."org" IS '所属公司';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table request_log_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."request_log_info" ADD CONSTRAINT "request_log_info_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
|
||||
|
||||
|
||||
#新建数据库xiuosiot
|
||||
create user xiuosiot with password '123456'
|
||||
|
||||
|
||||
#新建用户xiuosiot
|
||||
create DATABASE xiuosiot with owner =xiuosiot ;
|
||||
|
||||
|
||||
|
||||
#导出数据字典
|
||||
SELECT
|
||||
A.attnum AS "序号",
|
||||
---C.relname AS "表名",
|
||||
---CAST ( obj_description ( relfilenode, 'pg_class' ) AS VARCHAR ) AS "表名描述",
|
||||
A.attname AS "字段名",
|
||||
A.attnotnull as 是否为空,
|
||||
--IF(A.attnotnull='f','是','否') AS '必填',
|
||||
concat_ws ( '-', T.typname, SUBSTRING ( format_type ( A.atttypid, A.atttypmod ) FROM '(.*)' ) ) AS "数据类型",
|
||||
d.description AS "注释"
|
||||
FROM
|
||||
pg_class C,
|
||||
pg_attribute A,
|
||||
pg_type T,
|
||||
pg_description d
|
||||
WHERE
|
||||
C.relname = 'user_info'
|
||||
AND A.attnum > 0
|
||||
AND A.attrelid = C.oid
|
||||
AND A.atttypid = T.oid
|
||||
AND d.objoid = A.attrelid
|
||||
AND d.objsubid = A.attnum
|
||||
ORDER BY
|
||||
C.relname DESC,
|
||||
A.attnum ASC
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
create database if not exists xiuosiot vgroups 10 replica 3 cachemodel 'last_row' cachesize 32;
|
||||
use xiuosiot;
|
||||
create stable M168_LoRa_FM100 (ts timestamp,co2 float,so2 float, temperature float, humidity float) tags(company binary(32),location binary(64));
|
||||
create stable RV400_NPU16T_5G_AR100(ts timestamp,co2 float,so2 float, temperature float, humidity float) tags(company binary(32),location binary(64));
|
||||
create stable RV400_NPU4T_5G_SR100(ts timestamp,co2 float,so2 float, temperature float, humidity float) tags(company binary(32),location binary(64));
|
||||
create stable M528_A800_5G_HM100(ts timestamp,co2 float,so2 float, temperature float, humidity float) tags(company binary(32),location binary(64));
|
||||
create stable RV400_4G_FR100(ts timestamp,co2 float,so2 float, temperature float, humidity float) tags(company binary(32),location binary(64));
|
||||
create table A000001 using M168_LoRa_FM100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000005 using RV400_NPU16T_5G_AR100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000006 using RV400_NPU4T_5G_SR100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000007 using M168_LoRa_FM100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000008 using M528_A800_5G_HM100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000009 using RV400_NPU16T_5G_AR100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table A000010 using RV400_4G_FR100 tags("dsd","zhejiang.xiaoshan");
|
||||
create table S01 using M168_LoRa_FM100 tags("hxgg","zhejiang.xiaoshan");
|
||||
create table S02 using M528_A800_5G_HM100 tags("hxgg","zhejiang.xiaoshan");
|
||||
create table S03 using M168_LoRa_FM100 tags("hxgg","zhejiang.xiaoshan");
|
||||
create table S05 using M168_LoRa_FM100 tags("hxgg","zhejiang.xiaoshan");
|
||||
create table jxsd_1500(ts timestamp,v1 int,v2 int ,v3 int ,v4 int, v5 int,v6 int ,v7 int ,v8 int,v9 int,v10 int ,v11 int ,v12 int,v13 int,v14 int ,v15 int ,v16 int,v17 int,v18 int ,v19 int ,v20 int,v21 int,v22 int ,v23 int ,v24 int,v25 int,v26 int ,v27 int ,v28 int,v29 int,v30 int ,v31 int ,v32 int,v33 int,v34 int ,v35 int ,v36 int,v37 int,v38 int ,v39 int ,v40 int,v41 int ,v42 int,v43 int,v44 int ,v45 int ,v46 int,v47 int,v48 int ,v49 int ,v50 int,v51 int ,v52 int,v53 int,v54 int ,v55 int ,v56 int,v57 int,v58 int ,v59 int ,v60 int,v61 int ,v62 int,v63 int,v64 int ,v65 int ,v66 int,v67 int,v68 int ,v69 int ,v70 int,v71 int ,v72 int)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,48 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 04/09/2023 18:02:08
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for firmware_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."firmware_info";
|
||||
CREATE TABLE "public"."firmware_info" (
|
||||
"id" int4 NOT NULL DEFAULT nextval('seq_firmware_info'::regclass),
|
||||
"file_name" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"file_version" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"create_time" timestamp(6),
|
||||
"file_md5" varchar(64) COLLATE "pg_catalog"."default",
|
||||
"file_desc" varchar(100) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"verify" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"file_size" int4
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."firmware_info"."id" IS '主键';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_name" IS '固件名';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_version" IS '固件版本';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."create_time" IS '上传时间';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_md5" IS 'md5码';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_desc" IS '固件描述';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."org" IS '所属企业';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."verify" IS '验证状态 未验证 验证成功 验证失败';
|
||||
COMMENT ON COLUMN "public"."firmware_info"."file_size" IS '文件数量';
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table firmware_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."firmware_info" ADD CONSTRAINT "firmware_info_pkey" PRIMARY KEY ("id");
|
||||
|
|
@ -0,0 +1,62 @@
|
|||
/*
|
||||
Navicat Premium Data Transfer
|
||||
|
||||
Source Server : localdsd
|
||||
Source Server Type : PostgreSQL
|
||||
Source Server Version : 120012
|
||||
Source Host : localhost:5432
|
||||
Source Catalog : xiuosiot
|
||||
Source Schema : public
|
||||
|
||||
Target Server Type : PostgreSQL
|
||||
Target Server Version : 120012
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 09/10/2022 20:15:09
|
||||
*/
|
||||
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for user_info
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS "public"."user_info";
|
||||
CREATE TABLE "public"."user_info" (
|
||||
"id" varchar(32) COLLATE "pg_catalog"."default" NOT NULL,
|
||||
"username" varchar(16) COLLATE "pg_catalog"."default",
|
||||
"password" varchar(16) COLLATE "pg_catalog"."default",
|
||||
"realname" varchar(16) COLLATE "pg_catalog"."default",
|
||||
"phonenum" int4,
|
||||
"updatetime" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"lastlogintime" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"lastloginip" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"org" varchar(32) COLLATE "pg_catalog"."default",
|
||||
"corpname" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"abbrCorpName" varchar(255) COLLATE "pg_catalog"."default",
|
||||
"permissions" varchar(255) COLLATE "pg_catalog"."default"
|
||||
)
|
||||
;
|
||||
COMMENT ON COLUMN "public"."user_info"."id" IS '主键id，以时间戳递增';
|
||||
COMMENT ON COLUMN "public"."user_info"."username" IS '用户名';
|
||||
COMMENT ON COLUMN "public"."user_info"."password" IS '用户密码';
|
||||
COMMENT ON COLUMN "public"."user_info"."realname" IS '真实姓名';
|
||||
COMMENT ON COLUMN "public"."user_info"."phonenum" IS '电话';
|
||||
COMMENT ON COLUMN "public"."user_info"."updatetime" IS '更新时间';
|
||||
COMMENT ON COLUMN "public"."user_info"."lastlogintime" IS '最后登录时间';
|
||||
COMMENT ON COLUMN "public"."user_info"."lastloginip" IS '最后登录ip';
|
||||
COMMENT ON COLUMN "public"."user_info"."org" IS '所属公司';
|
||||
COMMENT ON COLUMN "public"."user_info"."corpname" IS '公司名';
|
||||
COMMENT ON COLUMN "public"."user_info"."abbrCorpName" IS '公司缩写';
|
||||
COMMENT ON COLUMN "public"."user_info"."permissions" IS '权限';
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of user_info
|
||||
-- ----------------------------
|
||||
INSERT INTO "public"."user_info" VALUES ('20220915170504-xdl-dsd', 'xdl', '123456', 'boss', 1768872661, NULL, '2022-09-15 17:05:04', '127.0.0.1', 'dsd', '浙江大胜达包装股份有限公司', '大胜达', 'dashengda');
|
||||
INSERT INTO "public"."user_info" VALUES ('1', 'wty', '123456', NULL, NULL, NULL, '2022-10-09 11:35:30', '127.0.0.1', 'dsd', '浙江大胜达包装股份有限公司', '大胜达', 'dashengda');
|
||||
INSERT INTO "public"."user_info" VALUES ('2', 'aiitxios', 'xiosaiit', NULL, NULL, NULL, '2022-10-09 16:32:15', '127.0.0.1', 'dsd', '浙江大胜达包装股份有限公司', '大胜达', 'dashengda');
|
||||
INSERT INTO "public"."user_info" VALUES ('3', 'hangxiao', 'hangxiao', NULL, NULL, NULL, '2022-10-09 16:27:44', '127.0.0.1', 'hxgg', '杭萧钢构股份有限公司', '杭萧钢构', '');
|
||||
|
||||
-- ----------------------------
|
||||
-- Primary Key structure for table user_info
|
||||
-- ----------------------------
|
||||
ALTER TABLE "public"."user_info" ADD CONSTRAINT "user_info_pkey" PRIMARY KEY ("id");
|
||||
Binary file not shown.
Loading…
Reference in New Issue