/* Navicat Premium Data Transfer Source Server : 192.168.50.233 Source Server Type : MySQL Source Server Version : 50731 Source Host : 192.168.50.233:3306 Source Schema : nacos Target Server Type : MySQL Target Server Version : 50731 File Encoding : 65001 Date: 25/12/2024 15:12:52 */ CREATE DATABASE IF NOT EXISTS nacos; USE nacos; SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for config_info -- ---------------------------- DROP TABLE IF EXISTS `config_info`; CREATE TABLE `config_info` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `data_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'data_id', `group_id` varchar(255) COLLATE utf8_bin DEFAULT NULL, `content` longtext COLLATE utf8_bin NOT NULL COMMENT 'content', `md5` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT 'md5', `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间', `src_user` text COLLATE utf8_bin COMMENT 'source user', `src_ip` varchar(20) COLLATE utf8_bin DEFAULT NULL COMMENT 'source ip', `app_name` varchar(128) COLLATE utf8_bin DEFAULT NULL, `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT '租户字段', `c_desc` varchar(256) COLLATE utf8_bin DEFAULT NULL, `c_use` varchar(64) COLLATE utf8_bin DEFAULT NULL, `effect` varchar(64) COLLATE utf8_bin DEFAULT NULL, `type` varchar(64) COLLATE utf8_bin DEFAULT NULL, `c_schema` text COLLATE utf8_bin, PRIMARY KEY (`id`), UNIQUE KEY `uk_configinfo_datagrouptenant` (`data_id`,`group_id`,`tenant_id`) ) ENGINE=InnoDB AUTO_INCREMENT=31 DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info'; -- ---------------------------- -- Records of config_info -- ---------------------------- BEGIN; INSERT INTO `config_info` VALUES (3, 'application.properties', 'dev', '# 服务端口\r\nserver.port = 16200\r\n#数据库设置\r\nspring.datasource.type = com.alibaba.druid.pool.DruidDataSource\r\nspring.datasource.druid.driver-class-name = com.mysql.jdbc.Driver\r\nspring.datasource.druid.driver-class-name = com.mysql.cj.jdbc.Driver\r\nspring.datasource.druid.url = jdbc:mysql://192.168.50.233:3306/energy?useUnicode=true&characterEncoding=UTF-8& allowMultiQueries=true&rewriteBatchedStatements=true&useSSL=false&allowPublicKeyRetrieval=true\r\nspring.datasource.druid.username = admin\r\nspring.datasource.druid.password = admin123456\r\n#初始化大小\r\nspring.datasource.druid.initial-size = 30\r\n#最小\r\nspring.datasource.druid.min-idle = 20\r\n#最大\r\nspring.datasource.druid.max-active = 300\r\n#获取连接等待的超时时间\r\nspring.datasource.druid.max-wait = 600000\r\n#间隔多久进行一次检测,检测需要关闭的链接\r\nspring.datasource.druid.time-between-eviction-runs-millis = 60000\r\n#一个链接在池中最小生存时间\r\nspring.datasource.druid.min-evictable-idle-time-millis = 3000000\r\n##配置连接在池中的最大生存时间\r\n#spring.datasource.druid.max-evictable-idle-time-millis = 400000\r\nspring.datasource.druid.validation-query = SELECT \'x\'\r\nspring.datasource.druid.test-on-borrow = false\r\nspring.datasource.druid.test-on-return = false\r\n## 启用空闲连接检测,以便回收\r\nspring.datasource.druid.test-while-idle = true\r\n## 打开PSCache,并且指定每个连接上PSCache的大小\r\nspring.datasource.druid.pool-prepared-statements = false\r\nspring.datasource.druid.max-pool-prepared-statement-per-connection-size = 20\r\nspring.datasource.druid.remove-abandoned = true\r\nspring.datasource.druid.remove-abandoned-timeout = 7200\r\nspring.datasource.druid.log-abandoned = false\r\n\r\n#redis-config\r\nspring.redis.jedis.pool.max-idle = 100\r\nspring.redis.jedis.pool.min-idle = 10\r\nspring.redis.jedis.pool.max-active = 1000\r\nspring.redis.jedis.pool.max-wait = 100000\r\nspring.redis.database = 1\r\nspring.redis.host = 192.168.50.233\r\nspring.redis.port = 6379\r\nspring.redis.password = 123456\r\n\r\n\r\n#kafka\r\n#spring.kafka.bootstrap-servers=192.168.50.234:9092\r\n#spring.kafka.producer.batch-size=16384\r\n#spring.kafka.producer.acks=all\r\n#spring.kafka.producer.retries=3\r\n\r\n#消费者\r\n#spring.kafka.consumer.bootstrapServers=192.168.50.234:9092\r\n#spring.kafka.consumer.topics=xxxx\r\n#spring.kafka.consumer.groupId=energy-manage\r\n#spring.kafka.consumer.sessionTimeOut=30000\r\n#spring.kafka.consumer.enableAutoCommit=false\r\n#spring.kafka.consumer.autoCommitInterval=1000\r\n#spring.kafka.consumer.maxPollRecords=50\r\n#spring.kafka.consumer.maxPollInterval=300000\r\n#spring.kafka.consumer.keyDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.valueDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.autoOffsetReset=latest\r\n#spring.kafka.consumer.heartbeatInterval=10000\r\n\r\n#监听\r\n#spring.kafka.listener.type=batch\r\n#spring.kafka.listener.ack-mode=batch\r\n\r\n#minio\r\nminio.endpoint= http://192.168.50.233:6900\r\nminio.accessKey= haH1vePq7unSp4TG1One\r\nminio.secretKey= idxO5SAjboUYERpDICgHgBoHX7bcYv355lMQANt6\r\nminio.bucketName= bucket-zhzn\r\nminio.bucketPath= http://192.168.50.233:6900\r\n\r\n#xxl-job\r\nxxl.job.admin.addresses = http://192.168.50.234:16800/xxl-job-admin\r\nxxl.job.admin.accessToken = \r\nxxl.job.executor.appname = xxl-job-executor-dev\r\nxxl.job.executor.address = \r\nxxl.job.executor.ip =\r\nxxl.job.executor.port = 9999\r\nxxl.job.executor.logpath = /usr/local/logs/xxl\r\nxxl.job.executor.logretentiondays = 30\r\n\r\n#上传文件模板\r\ntemplate.bzpower = http://192.168.50.234:6900/bucket-zhzn/template/%E6%A0%87%E5%87%86%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.htpower = http://192.168.50.234:6900/bucket-zhzn/template/%E5%90%88%E5%90%8C%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.field = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E5%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.draught = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E6%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\n\r\n#分析算法入参json格式\r\nanalysis.algorithm.json={\"dataContractType\": {\"type\": \"analysisExecuteOrder\",\"version\": \"1.2.0\"},\"dataContract\": {\"autoOrManual\": null,\"dataFilter\": {\"powerFarmID\": null,\"turbines\": null,\"dataBatchNum\": null,\"beginTime\": null,\"endTime\": null,\"excludingMonths\": null,\"customFilter\": {\"valueWindSpeed\": {\"min\": null,\"max\": null},\"valuePitchAngle\": {\"min\":null,\"max\": null},\"valueActivePower\": {\"min\": null,\"max\": null},\"valueGeneratorSpeed\": {\"min\": null,\"max\": null}}},\"configAnalysis\": [],\"graphSets\": {\"DgeneratorSpeed\": {\"step\": 5,\"min\": 0,\"max\": 30},\"DgeneratorTorque\": {\"step\": 10000,\"min\": 0,\"max\": 10000},\"IgeneratorSpeed\": {\"step\": 200,\"min\": 1000,\"max\": 2000},\"IgeneratorTorque\": {\"step\": 2000,\"min\": 0,\"max\": 12000},\"cp\": {\"step\": 0.1,\"min\": 0,\"max\": 1},\"tsr\": {\"step\": 5,\"min\": 0,\"max\": 30},\"pitchAngle\": {\"step\": 1,\"min\": -1,\"max\": 20},\"activePower\": {\"step\": 250,\"min\": 0,\"max\": 2000}}}}\r\n#需要特殊处理的图像设置属性\r\ngraphSets.properties=dgeneratorSpeed,igeneratorSpeed,dgeneratorTorque,igeneratorTorque,cp,tsr,pitchAngle,activePower\r\n#scada数据筛选\r\ncustomFilter.properties=valueWindSpeed,valuePitchAngle,valueActivePower,valueGeneratorSpeed\r\n#需要特设处理分析类型属性\r\nanalysis.properties.name=configAnalysis\r\n#分析类型json格式\r\nanalysis.type.json={\"package\":\"\",\"className\":\"\",\"methodName\":\"\",\"scada\":\"\"}\r\n\r\nanalysis.array.properties=turbines,excludingMonths\r\n#额定功率因数\r\npower.factor.rated=1.2\r\n#算法调用默认值\r\nanalysis.url= 192.168.50.235:8001/demo/dataAnalysis/analysis\r\n#转换后数据下载地址\r\ndownload.url= http://192.168.50.241:8080\r\n#内网minio host\r\nanalysis.file.intranet.addr=http://192.168.50.233:6900/\r\n#外网网minio host(外网暂未开放)\r\nanalysis.file.external.addr=http://106.120.102.233:16900/\r\n#分析结果文件路径中替换的字符串\r\nanalysis.file.replace.str= /manual/,/automatic/\r\n', 'db60c71f3ef033e6e166d462e7fe8930', '2024-04-28 02:19:38', '2024-12-11 15:00:21', NULL, '192.168.50.201', '', '79c42a7a-2c7d-4dcf-8a2c-b334271e2191', 'dev环境', 'null', 'null', 'properties', 'null'); INSERT INTO `config_info` VALUES (14, 'application.properties', 'prod', '# 服务端口\r\nserver.port = 16300\r\n#数据库设置\r\nspring.datasource.type = com.alibaba.druid.pool.DruidDataSource\r\nspring.datasource.druid.driver-class-name = com.mysql.jdbc.Driver\r\nspring.datasource.druid.driver-class-name = com.mysql.cj.jdbc.Driver\r\nspring.datasource.druid.url = jdbc:mysql://192.168.50.233:3306/energy_prod?useUnicode=true&characterEncoding=UTF-8& allowMultiQueries=true&rewriteBatchedStatements=true&useSSL=false&allowPublicKeyRetrieval=true\r\nspring.datasource.druid.username = admin\r\nspring.datasource.druid.password = admin123456\r\n#初始化大小\r\nspring.datasource.druid.initial-size = 30\r\n#最小\r\nspring.datasource.druid.min-idle = 20\r\n#最大\r\nspring.datasource.druid.max-active = 300\r\n#获取连接等待的超时时间\r\nspring.datasource.druid.max-wait = 600000\r\n#间隔多久进行一次检测,检测需要关闭的链接\r\nspring.datasource.druid.time-between-eviction-runs-millis = 60000\r\n#一个链接在池中最小生存时间\r\nspring.datasource.druid.min-evictable-idle-time-millis = 3000000\r\n##配置连接在池中的最大生存时间\r\n#spring.datasource.druid.max-evictable-idle-time-millis = 400000\r\nspring.datasource.druid.validation-query = SELECT \'x\'\r\nspring.datasource.druid.test-on-borrow = false\r\nspring.datasource.druid.test-on-return = false\r\n## 启用空闲连接检测,以便回收\r\nspring.datasource.druid.test-while-idle = true\r\n## 打开PSCache,并且指定每个连接上PSCache的大小\r\nspring.datasource.druid.pool-prepared-statements = false\r\nspring.datasource.druid.max-pool-prepared-statement-per-connection-size = 20\r\nspring.datasource.druid.remove-abandoned = true\r\nspring.datasource.druid.remove-abandoned-timeout = 7200\r\nspring.datasource.druid.log-abandoned = false\r\n\r\n#redis-config\r\nspring.redis.jedis.pool.max-idle = 100\r\nspring.redis.jedis.pool.min-idle = 10\r\nspring.redis.jedis.pool.max-active = 1000\r\nspring.redis.jedis.pool.max-wait = 100000\r\nspring.redis.database = 10\r\nspring.redis.host = 192.168.50.233\r\nspring.redis.port = 6379\r\nspring.redis.password = 123456\r\n\r\n\r\n\r\n#kafka\r\n#spring.kafka.bootstrap-servers=192.168.50.234:9092\r\n#spring.kafka.producer.batch-size=16384\r\n#spring.kafka.producer.acks=all\r\n#spring.kafka.producer.retries=3\r\n\r\n#消费者\r\n#spring.kafka.consumer.bootstrapServers=192.168.50.234:9092\r\n#spring.kafka.consumer.topics=xxxx\r\n#spring.kafka.consumer.groupId=energy-manage\r\n#spring.kafka.consumer.sessionTimeOut=30000\r\n#spring.kafka.consumer.enableAutoCommit=false\r\n#spring.kafka.consumer.autoCommitInterval=1000\r\n#spring.kafka.consumer.maxPollRecords=50\r\n#spring.kafka.consumer.maxPollInterval=300000\r\n#spring.kafka.consumer.keyDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.valueDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.autoOffsetReset=latest\r\n#spring.kafka.consumer.heartbeatInterval=10000\r\n\r\n#监听\r\n#spring.kafka.listener.type=batch\r\n#spring.kafka.listener.ack-mode=batch\r\n\r\n#minio\r\nminio.endpoint= http://192.168.50.234:6900\r\nminio.accessKey= 6VkF2ul6X7udr7RLsG2W\r\nminio.secretKey= jtBuqZ80biRWQf6sbwzDQJwHtEBicPjkZBtvjTrA\r\nminio.bucketName= bucket-zhzn\r\nminio.bucketPath= http://192.168.50.233:6900\r\n\r\n#xxl-job\r\nxxl.job.admin.addresses = http://192.168.50.234:16900/xxl-job-admin\r\nxxl.job.admin.accessToken =\r\nxxl.job.executor.appname = xxl-job-executor\r\nxxl.job.executor.address = \r\nxxl.job.executor.ip =\r\nxxl.job.executor.port = 9998\r\nxxl.job.executor.logpath = /usr/local/logs/xxl\r\nxxl.job.executor.logretentiondays = 30\r\n\r\n#上传文件模板\r\ntemplate.bzpower = http://192.168.50.234:6900/bucket-zhzn/template/%E6%A0%87%E5%87%86%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.htpower = http://192.168.50.234:6900/bucket-zhzn/template/%E5%90%88%E5%90%8C%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.field = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E5%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.draught = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E6%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\n\r\n#分析算法入参json格式\r\nanalysis.algorithm.json={\"dataContractType\": {\"type\": \"analysisExecuteOrder\",\"version\": \"1.2.0\"},\"dataContract\": {\"autoOrManual\": null,\"dataFilter\": {\"powerFarmID\": null,\"turbines\": null,\"dataBatchNum\": null,\"beginTime\": null,\"endTime\": null,\"excludingMonths\": null,\"customFilter\": {\"valueWindSpeed\": {\"min\": null,\"max\": null},\"valuePitchAngle\": {\"min\":null,\"max\": null},\"valueActivePower\": {\"min\": null,\"max\": null},\"valueGeneratorSpeed\": {\"min\": null,\"max\": null}}},\"configAnalysis\": [],\"graphSets\": {\"DgeneratorSpeed\": {\"step\": 5,\"min\": 0,\"max\": 30},\"DgeneratorTorque\": {\"step\": 10000,\"min\": 0,\"max\": 10000},\"IgeneratorSpeed\": {\"step\": 200,\"min\": 1000,\"max\": 2000},\"IgeneratorTorque\": {\"step\": 2000,\"min\": 0,\"max\": 12000},\"cp\": {\"step\": 0.1,\"min\": 0,\"max\": 1},\"tsr\": {\"step\": 5,\"min\": 0,\"max\": 30},\"pitchAngle\": {\"step\": 1,\"min\": -1,\"max\": 20},\"activePower\": {\"step\": 250,\"min\": 0,\"max\": 2000}}}}\r\n#需要特殊处理的图像设置属性\r\ngraphSets.properties=dgeneratorSpeed,igeneratorSpeed,dgeneratorTorque,igeneratorTorque,cp,tsr,pitchAngle,activePower\r\n#scada数据筛选\r\ncustomFilter.properties=valueWindSpeed,valuePitchAngle,valueActivePower,valueGeneratorSpeed\r\n#需要特设处理分析类型属性\r\nanalysis.properties.name=configAnalysis\r\n#分析类型json格式\r\nanalysis.type.json={\"package\":\"\",\"className\":\"\",\"methodName\":\"\",\"scada\":\"\"}\r\n\r\nanalysis.array.properties=turbines,excludingMonths\r\n#额定功率因数\r\npower.factor.rated=1.2\r\n\r\n#算法调用默认值\r\nanalysis.url= http://192.168.50.233:8000/demo/dataAnalysis/analysis\r\n#转换后数据下载地址\r\ndownload.url= http://192.168.50.241:8080\r\n#内网minio host\r\nanalysis.file.intranet.addr= http://192.168.50.234:6900/\r\n#外网网minio host\r\nanalysis.file.external.addr= http://106.120.102.238:16900/\r\n#分析结果文件路径中替换的字符串\r\nanalysis.file.replace.str= /manual/,/automatic/\r\n', '25221b2b7ea2adc222ef0b26df750860', '2024-06-24 15:55:51', '2024-09-30 13:51:26', NULL, '192.168.50.201', '', '79c42a7a-2c7d-4dcf-8a2c-b334271e2191', '公司内部生产环境配置', 'null', 'null', 'properties', 'null'); INSERT INTO `config_info` VALUES (29, 'analysis_type_config.properties', 'DEFAULT_GROUP', 'analysis.type.config=[{\"analysisTypeName\": \"大部件温度传感器分析\", \"analysisTypeCode\": \"temperature_large_components\", \"modeType\": \"lines\", \"graphType\": \"scatter\", \"xLable\": \"功率(kW)\", \"yLable\": \"温度(℃)\", \"com\": \"lineChart\", \"chartsType\": [{\"name\": \"总图\", \"filesType\": \"line\", \"children\": [{\"name\": \"齿轮箱高速轴温度\", \"filesType\": \"line\"}, {\"name\": \"齿轮箱低速轴温度\", \"filesType\": \"line\"}, {\"name\": \"发电机驱动端轴承温度\", \"filesType\": \"line\"}, {\"name\": \"发电机非驱动端轴承温度\", \"filesType\": \"line\"}, {\"name\": \"主轴承温度\", \"filesType\": \"line\"} ] }, {\"name\": \"分图\", \"filesType\": \"line\", \"children\": [{\"name\": \"主轴承温度\", \"filesType\": \"line\"}, {\"name\": \"齿轮箱高速轴温度\", \"filesType\": \"line\"}, {\"name\": \"齿轮箱低速轴温度\", \"filesType\": \"line\"}, {\"name\": \"发电机驱动端轴承温度\", \"filesType\": \"line\"}, {\"name\": \"发电机非驱动端轴承温度\", \"filesType\": \"line\"}, {\"name\": \"Generator Temperature BIAS:\", \"filesType\": \"line\", \"line_dash\": [\"dot\", \"dash\"] } ] } ], \"lableConfig\": {\"plot_bgcolor\": \"#e5ecf6\", \"xaxis\": {\"title\": \"Power Floor\", \"gridcolor\": \"rgb(255,255,255)\", \"showgrid\": true, \"zeroline\": false, \"ticklen\": 5, \"gridwidth\": 1, \"tickcolor\": \"rgb(255,255,255)\"}, \"yaxis\": {\"title\": \"Temperature\", \"gridcolor\": \"rgb(255,255,255)\", \"showgrid\": true, \"zeroline\": false, \"tickcolor\": \"rgb(255,255,255)\", \"ticklen\": 5, \"gridwidth\": 1 }, \"legend\": {\"orientation\": \"h\", \"xanchor\": \"center\", \"x\": 0.5, \"y\": -0.2 }, \"annotations\": [] } }, {\"analysisTypeName\": \"变桨和有功功率协调性分析\", \"analysisTypeCode\": \"pitch_power\", \"modeType\": \"markers\", \"graphType\": \"scatter\", \"xLable\": \"功率(kW)\", \"yLable\": \"桨距角(°)\", \"x3DLable\": \"桨距角(°)\", \"y3DLable\": \"时间\", \"z3DLable\": \"功率(kW)\", \"com\": \"MarkersCharts\", \"chartsType\": [{\"name\": \"分图\", \"filesType\": \"2D\"}, {\"name\": \"分图\", \"filesType\": \"3D\"} ], \"2DConfig\": {\"marker\": {\"color\": [1, 2, 3, 4, 5], \"colorscale\": \"Rainbow\", \"size\": 3, \"opacity\": 0.7, \"colorbar\": {\"tickvals\": [1, 2, 3, 4, 5], \"ticktext\": [], \"thickness\": 18, \"len\": 1, \"outlinecolor\": \"rgba(255,255,255,0)\"}, \"showscale\": true }, \"mode\": \"markers\", \"type\": \"scatter\"}, \"2DLayoutConfig\": {\"title\": \"\", \"plot_bgcolor\": \"#e5ecf6\", \"xaxis\": {\"title\": \"Generator Speed\", \"dtick\": 100, \"tickangle\": -45, \"gridcolor\": \"rgb(255,255,255)\", \"showgrid\": true, \"zeroline\": false, \"ticklen\": 5, 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\"#FF7F0E\", \"#2CA02C\", \"#D62728\", \"#9467BD\", \"#8C564B\", \"#E377C2\", \"#7F7F7F\", \"#BCBD22\", \"#17BECF\", \"#1A55F2\", \"#FF5733\", \"#33FF57\", \"#3375FF\", \"#FF33A6\", \"#FF5733\", \"#57FF33\", \"#FF3380\", \"#80FF33\", \"#3380FF\", \"#FF8033\", \"#57FF80\", \"#3380FF\", \"#8033FF\", \"#FF3380\", \"#FF57D7\", \"#FFD733\", \"#33FFD7\", \"#D733FF\", \"#8033FF\", \"#3380FF\", \"#FF3380\", \"#D7FF33\", \"#FF8033\", \"#33FF57\", \"#33D7FF\", \"#FF5733\", \"#33D7FF\", \"#33FF57\", \"#57D7FF\"] }, {\"analysisTypeName\": \"秒级SCADA数据记录完整度分析\", \"analysisTypeCode\": \"data_integrity_second\", \"title\": \"\", \"modeType\": \"heatmap\", \"graphType\": \"heatmap\", \"xLable\": \"Turbine Name\", \"colorscale\": \"Viridis\", \"yLable\": \"Year Month\", \"zLable\": \"\", \"com\": \"HeatmapCharts\", \"chartsType\": [{\"name\": \"总图\", \"filesType\": \"heatmap\"} ], \"lableConfig\": {\"plot_bgcolor\": \"#e5ecf6\", \"xaxis\": {\"gridcolor\": \"rgb(255,255,255)\", \"showgrid\": true, \"zeroline\": false, \"ticklen\": 5, \"gridwidth\": 4, \"tickcolor\": \"rgb(255,255,255)\", \"tickangle\": -45 }, \"yaxis\": {\"gridcolor\": \"rgb(255,255,255)\", \"showgrid\": true, \"zeroline\": false, \"tickcolor\": \"rgb(255,255,255)\", \"ticklen\": 5, \"gridwidth\": 4 }, \"annotations\": [] } } ]', '1ec775c0bc17e85e46a0d88da5146eee', '2024-07-31 16:32:10', '2024-09-09 11:12:33', NULL, '192.168.50.201', '', '79c42a7a-2c7d-4dcf-8a2c-b334271e2191', 'null', 'null', 'null', 'properties', 'null'); COMMIT; -- ---------------------------- -- Table structure for config_info_aggr -- ---------------------------- DROP TABLE IF EXISTS `config_info_aggr`; CREATE TABLE `config_info_aggr` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `data_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'data_id', `group_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'group_id', `datum_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'datum_id', `content` longtext COLLATE utf8_bin NOT NULL COMMENT '内容', `gmt_modified` datetime NOT NULL COMMENT '修改时间', `app_name` varchar(128) COLLATE utf8_bin DEFAULT NULL, `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT '租户字段', PRIMARY KEY (`id`), UNIQUE KEY `uk_configinfoaggr_datagrouptenantdatum` (`data_id`,`group_id`,`tenant_id`,`datum_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='增加租户字段'; -- ---------------------------- -- Records of config_info_aggr -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for config_info_beta -- ---------------------------- DROP TABLE IF EXISTS `config_info_beta`; CREATE TABLE `config_info_beta` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `data_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'data_id', `group_id` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'group_id', `app_name` varchar(128) COLLATE utf8_bin DEFAULT NULL COMMENT 'app_name', `content` longtext COLLATE utf8_bin NOT NULL COMMENT 'content', `beta_ips` varchar(1024) COLLATE utf8_bin DEFAULT NULL COMMENT 'betaIps', `md5` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT 'md5', `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间', `src_user` text COLLATE utf8_bin COMMENT 'source user', `src_ip` varchar(20) COLLATE utf8_bin DEFAULT NULL COMMENT 'source ip', `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT '租户字段', PRIMARY KEY (`id`), UNIQUE KEY `uk_configinfobeta_datagrouptenant` (`data_id`,`group_id`,`tenant_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info_beta'; -- ---------------------------- -- Records of config_info_beta -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for config_info_tag -- ---------------------------- DROP TABLE IF EXISTS `config_info_tag`; CREATE TABLE `config_info_tag` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `data_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'data_id', `group_id` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'group_id', `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT 'tenant_id', `tag_id` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'tag_id', `app_name` varchar(128) COLLATE utf8_bin DEFAULT NULL COMMENT 'app_name', `content` longtext COLLATE utf8_bin NOT NULL COMMENT 'content', `md5` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT 'md5', `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间', `src_user` text COLLATE utf8_bin COMMENT 'source user', `src_ip` varchar(20) COLLATE utf8_bin DEFAULT NULL COMMENT 'source ip', PRIMARY KEY (`id`), UNIQUE KEY `uk_configinfotag_datagrouptenanttag` (`data_id`,`group_id`,`tenant_id`,`tag_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info_tag'; -- ---------------------------- -- Records of config_info_tag -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for config_tags_relation -- ---------------------------- DROP TABLE IF EXISTS `config_tags_relation`; CREATE TABLE `config_tags_relation` ( `id` bigint(20) NOT NULL COMMENT 'id', `tag_name` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'tag_name', `tag_type` varchar(64) COLLATE utf8_bin DEFAULT NULL COMMENT 'tag_type', `data_id` varchar(255) COLLATE utf8_bin NOT NULL COMMENT 'data_id', `group_id` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'group_id', `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT 'tenant_id', `nid` bigint(20) NOT NULL AUTO_INCREMENT, PRIMARY KEY (`nid`), UNIQUE KEY `uk_configtagrelation_configidtag` (`id`,`tag_name`,`tag_type`), KEY `idx_tenant_id` (`tenant_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_tag_relation'; -- ---------------------------- -- Records of config_tags_relation -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for group_capacity -- ---------------------------- DROP TABLE IF EXISTS `group_capacity`; CREATE TABLE `group_capacity` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键ID', `group_id` varchar(128) COLLATE utf8_bin NOT NULL DEFAULT '' COMMENT 'Group ID,空字符表示整个集群', `quota` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '配额,0表示使用默认值', `usage` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '使用量', `max_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个配置大小上限,单位为字节,0表示使用默认值', `max_aggr_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '聚合子配置最大个数,,0表示使用默认值', `max_aggr_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个聚合数据的子配置大小上限,单位为字节,0表示使用默认值', `max_history_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '最大变更历史数量', `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间', PRIMARY KEY (`id`), UNIQUE KEY `uk_group_id` (`group_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='集群、各Group容量信息表'; -- ---------------------------- -- Records of group_capacity -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for his_config_info -- ---------------------------- DROP TABLE IF EXISTS `his_config_info`; CREATE TABLE `his_config_info` ( `id` bigint(20) unsigned NOT NULL, `nid` bigint(20) unsigned NOT NULL AUTO_INCREMENT, `data_id` varchar(255) COLLATE utf8_bin NOT NULL, `group_id` varchar(128) COLLATE utf8_bin NOT NULL, `app_name` varchar(128) COLLATE utf8_bin DEFAULT NULL COMMENT 'app_name', `content` longtext COLLATE utf8_bin NOT NULL, `md5` varchar(32) COLLATE utf8_bin DEFAULT NULL, `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP, `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP, `src_user` text COLLATE utf8_bin, `src_ip` varchar(20) COLLATE utf8_bin DEFAULT NULL, `op_type` char(10) COLLATE utf8_bin DEFAULT NULL, `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT '租户字段', PRIMARY KEY (`nid`), KEY `idx_gmt_create` (`gmt_create`), KEY `idx_gmt_modified` (`gmt_modified`), KEY `idx_did` (`data_id`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='多租户改造'; -- ---------------------------- -- Records of his_config_info -- ---------------------------- BEGIN; INSERT INTO `his_config_info` VALUES (3, 1, 'application.properties', 'dev', '', '# 服务端口\r\nserver.port = 16200\r\n#数据库设置\r\nspring.datasource.type = com.alibaba.druid.pool.DruidDataSource\r\nspring.datasource.druid.driver-class-name = com.mysql.jdbc.Driver\r\nspring.datasource.druid.driver-class-name = com.mysql.cj.jdbc.Driver\r\nspring.datasource.druid.url = jdbc:mysql://192.168.50.233:3306/energy?useUnicode=true&characterEncoding=UTF-8& #allowMultiQueries=true&rewriteBatchedStatements=true&useSSL=false&allowPublicKeyRetrieval=true\r\nspring.datasource.druid.username = admin\r\nspring.datasource.druid.password = admin123456\r\n#初始化大小\r\nspring.datasource.druid.initial-size = 30\r\n#最小\r\nspring.datasource.druid.min-idle = 20\r\n#最大\r\nspring.datasource.druid.max-active = 300\r\n#获取连接等待的超时时间\r\nspring.datasource.druid.max-wait = 600000\r\n#间隔多久进行一次检测,检测需要关闭的链接\r\nspring.datasource.druid.time-between-eviction-runs-millis = 60000\r\n#一个链接在池中最小生存时间\r\nspring.datasource.druid.min-evictable-idle-time-millis = 3000000\r\n##配置连接在池中的最大生存时间\r\n#spring.datasource.druid.max-evictable-idle-time-millis = 400000\r\nspring.datasource.druid.validation-query = SELECT \'x\'\r\nspring.datasource.druid.test-on-borrow = false\r\nspring.datasource.druid.test-on-return = false\r\n## 启用空闲连接检测,以便回收\r\nspring.datasource.druid.test-while-idle = true\r\n## 打开PSCache,并且指定每个连接上PSCache的大小\r\nspring.datasource.druid.pool-prepared-statements = false\r\nspring.datasource.druid.max-pool-prepared-statement-per-connection-size = 20\r\nspring.datasource.druid.remove-abandoned = true\r\nspring.datasource.druid.remove-abandoned-timeout = 7200\r\nspring.datasource.druid.log-abandoned = false\r\n\r\n#redis-config\r\nspring.redis.jedis.pool.max-idle = 100\r\nspring.redis.jedis.pool.min-idle = 10\r\nspring.redis.jedis.pool.max-active = 1000\r\nspring.redis.jedis.pool.max-wait = 100000\r\nspring.redis.database = 1\r\nspring.redis.host = 192.168.50.233\r\nspring.redis.port = 6379\r\nspring.redis.password = 123456\r\n\r\n\r\n#kafka\r\n#spring.kafka.bootstrap-servers=192.168.50.234:9092\r\n#spring.kafka.producer.batch-size=16384\r\n#spring.kafka.producer.acks=all\r\n#spring.kafka.producer.retries=3\r\n\r\n#消费者\r\n#spring.kafka.consumer.bootstrapServers=192.168.50.234:9092\r\n#spring.kafka.consumer.topics=xxxx\r\n#spring.kafka.consumer.groupId=energy-manage\r\n#spring.kafka.consumer.sessionTimeOut=30000\r\n#spring.kafka.consumer.enableAutoCommit=false\r\n#spring.kafka.consumer.autoCommitInterval=1000\r\n#spring.kafka.consumer.maxPollRecords=50\r\n#spring.kafka.consumer.maxPollInterval=300000\r\n#spring.kafka.consumer.keyDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.valueDeserializer=org.apache.kafka.common.serialization.StringDeserializer\r\n#spring.kafka.consumer.autoOffsetReset=latest\r\n#spring.kafka.consumer.heartbeatInterval=10000\r\n\r\n#监听\r\n#spring.kafka.listener.type=batch\r\n#spring.kafka.listener.ack-mode=batch\r\n\r\n#minio\r\nminio.endpoint= http://192.168.50.233:6900\r\nminio.accessKey= haH1vePq7unSp4TG1One\r\nminio.secretKey= idxO5SAjboUYERpDICgHgBoHX7bcYv355lMQANt6\r\nminio.bucketName= bucket-zhzn\r\nminio.bucketPath= http://192.168.50.233:6900\r\n\r\n#xxl-job\r\nxxl.job.admin.addresses = http://192.168.50.234:16800/xxl-job-admin\r\nxxl.job.admin.accessToken = \r\nxxl.job.executor.appname = xxl-job-executor-dev\r\nxxl.job.executor.address = \r\nxxl.job.executor.ip =\r\nxxl.job.executor.port = 9999\r\nxxl.job.executor.logpath = /usr/local/logs/xxl\r\nxxl.job.executor.logretentiondays = 30\r\n\r\n#上传文件模板\r\ntemplate.bzpower = http://192.168.50.234:6900/bucket-zhzn/template/%E6%A0%87%E5%87%86%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.htpower = http://192.168.50.234:6900/bucket-zhzn/template/%E5%90%88%E5%90%8C%E5%8A%9F%E7%8E%87%E6%9B%B2%E7%BA%BF%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.field = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E5%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\ntemplate.draught = http://192.168.50.234:6900/bucket-zhzn/template/%E9%A3%8E%E6%9C%BA%E8%A1%A8%E6%A8%A1%E7%89%88.xlsx\r\n\r\n#分析算法入参json格式\r\nanalysis.algorithm.json={\"dataContractType\": {\"type\": \"analysisExecuteOrder\",\"version\": \"1.2.0\"},\"dataContract\": {\"autoOrManual\": null,\"dataFilter\": {\"powerFarmID\": null,\"turbines\": null,\"dataBatchNum\": null,\"beginTime\": null,\"endTime\": null,\"excludingMonths\": null,\"customFilter\": {\"valueWindSpeed\": {\"min\": null,\"max\": null},\"valuePitchAngle\": {\"min\":null,\"max\": null},\"valueActivePower\": {\"min\": null,\"max\": null},\"valueGeneratorSpeed\": {\"min\": null,\"max\": null}}},\"configAnalysis\": [],\"graphSets\": {\"DgeneratorSpeed\": {\"step\": 5,\"min\": 0,\"max\": 30},\"DgeneratorTorque\": {\"step\": 10000,\"min\": 0,\"max\": 10000},\"IgeneratorSpeed\": {\"step\": 200,\"min\": 1000,\"max\": 2000},\"IgeneratorTorque\": {\"step\": 2000,\"min\": 0,\"max\": 12000},\"cp\": {\"step\": 0.1,\"min\": 0,\"max\": 1},\"tsr\": {\"step\": 5,\"min\": 0,\"max\": 30},\"pitchAngle\": {\"step\": 1,\"min\": -1,\"max\": 20},\"activePower\": {\"step\": 250,\"min\": 0,\"max\": 2000}}}}\r\n#需要特殊处理的图像设置属性\r\ngraphSets.properties=dgeneratorSpeed,igeneratorSpeed,dgeneratorTorque,igeneratorTorque,cp,tsr,pitchAngle,activePower\r\n#scada数据筛选\r\ncustomFilter.properties=valueWindSpeed,valuePitchAngle,valueActivePower,valueGeneratorSpeed\r\n#需要特设处理分析类型属性\r\nanalysis.properties.name=configAnalysis\r\n#分析类型json格式\r\nanalysis.type.json={\"package\":\"\",\"className\":\"\",\"methodName\":\"\",\"scada\":\"\"}\r\n\r\nanalysis.array.properties=turbines,excludingMonths\r\n#额定功率因数\r\npower.factor.rated=1.2\r\n#算法调用默认值\r\nanalysis.url= 192.168.50.235:8001/demo/dataAnalysis/analysis\r\n#转换后数据下载地址\r\ndownload.url= http://192.168.50.241:8080\r\n#内网minio host\r\nanalysis.file.intranet.addr=http://192.168.50.233:6900/\r\n#外网网minio host(外网暂未开放)\r\nanalysis.file.external.addr=http://106.120.102.233:16900/\r\n#分析结果文件路径中替换的字符串\r\nanalysis.file.replace.str= /manual/,/automatic/\r\n', '85464c943ed606aac49691d8cf1dff78', '2024-12-11 15:00:21', '2024-12-11 15:00:21', NULL, '192.168.50.201', 'U', '79c42a7a-2c7d-4dcf-8a2c-b334271e2191'); COMMIT; -- ---------------------------- -- Table structure for permissions -- ---------------------------- DROP TABLE IF EXISTS `permissions`; CREATE TABLE `permissions` ( `role` varchar(50) NOT NULL, `resource` varchar(512) NOT NULL, `action` varchar(8) NOT NULL, UNIQUE KEY `uk_role_permission` (`role`,`resource`,`action`) USING BTREE ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- ---------------------------- -- Records of permissions -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for roles -- ---------------------------- DROP TABLE IF EXISTS `roles`; CREATE TABLE `roles` ( `username` varchar(50) NOT NULL, `role` varchar(50) NOT NULL, UNIQUE KEY `idx_user_role` (`username`,`role`) USING BTREE ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- ---------------------------- -- Records of roles -- ---------------------------- BEGIN; INSERT INTO `roles` VALUES ('nacos', 'ROLE_ADMIN'); COMMIT; -- ---------------------------- -- Table structure for tenant_capacity -- ---------------------------- DROP TABLE IF EXISTS `tenant_capacity`; CREATE TABLE `tenant_capacity` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键ID', `tenant_id` varchar(128) COLLATE utf8_bin NOT NULL DEFAULT '' COMMENT 'Tenant ID', `quota` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '配额,0表示使用默认值', `usage` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '使用量', `max_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个配置大小上限,单位为字节,0表示使用默认值', `max_aggr_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '聚合子配置最大个数', `max_aggr_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个聚合数据的子配置大小上限,单位为字节,0表示使用默认值', `max_history_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '最大变更历史数量', `gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间', PRIMARY KEY (`id`), UNIQUE KEY `uk_tenant_id` (`tenant_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='租户容量信息表'; -- ---------------------------- -- Records of tenant_capacity -- ---------------------------- BEGIN; COMMIT; -- ---------------------------- -- Table structure for tenant_info -- ---------------------------- DROP TABLE IF EXISTS `tenant_info`; CREATE TABLE `tenant_info` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `kp` varchar(128) COLLATE utf8_bin NOT NULL COMMENT 'kp', `tenant_id` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT 'tenant_id', `tenant_name` varchar(128) COLLATE utf8_bin DEFAULT '' COMMENT 'tenant_name', `tenant_desc` varchar(256) COLLATE utf8_bin DEFAULT NULL COMMENT 'tenant_desc', `create_source` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT 'create_source', `gmt_create` bigint(20) NOT NULL COMMENT '创建时间', `gmt_modified` bigint(20) NOT NULL COMMENT '修改时间', PRIMARY KEY (`id`), UNIQUE KEY `uk_tenant_info_kptenantid` (`kp`,`tenant_id`), KEY `idx_tenant_id` (`tenant_id`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='tenant_info'; -- ---------------------------- -- Records of tenant_info -- ---------------------------- BEGIN; INSERT INTO `tenant_info` VALUES (1, '1', '79c42a7a-2c7d-4dcf-8a2c-b334271e2191', 'energy-manage-service', 'energy-manage-service', 'nacos', 1714270021621, 1714270021621); COMMIT; -- ---------------------------- -- Table structure for users -- ---------------------------- DROP TABLE IF EXISTS `users`; CREATE TABLE `users` ( `username` varchar(50) NOT NULL, `password` varchar(500) NOT NULL, `enabled` tinyint(1) NOT NULL, PRIMARY KEY (`username`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- ---------------------------- -- Records of users -- ---------------------------- BEGIN; INSERT INTO `users` VALUES ('nacos', '$2a$10$EuWPZHzz32dJN7jexM34MOeYirDdFAZm2kuWj7VEOJhhZkDrxfvUu', 1); COMMIT; SET FOREIGN_KEY_CHECKS = 1;