feat(timer): 添加MQTT心跳检测定时器并优化数据处理

- 新增MqttHeartCheckTimer定时器，每小时轮询在线设备并进行心跳检测
- 在CsEquipmentDeliveryService中添加getUseOnlineDevice方法获取启用且在线的MQTT设备

iot-analysis/analysis-stat/stat-boot/src/main/java/com/njcn/stat/service/impl/StatServiceImpl.java

@@ -152,7 +152,7 @@ public class StatServiceImpl implements IStatService {
             }
             if (CollectionUtil.isNotEmpty(recordList)){
                 //influx数据批量入库
-                influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, recordList);
+                influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.SECONDS, recordList);
                 //记录监测点最新数据时间
                 CsLineLatestData csLineLatestData = new CsLineLatestData();
                 csLineLatestData.setLineId(lineId);
@@ -192,23 +192,40 @@ public class StatServiceImpl implements IStatService {
      */
     public List<String> assembleData(String lineId,List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray item,Integer clDid,String statMethod,Integer process,String devType,String accessMethod) {
         List<String> records = new ArrayList<String>();
-        //解码
         List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(item.getData()));
         if (CollectionUtil.isEmpty(floats)){
             throw new BusinessException(StatResponseEnum.AUTO_DATA_NULL);
         }
-        //校验模板和解码数据数量能否对应上
         if (!Objects.equals(dataArrayList.size(),floats.size())){
             throw new BusinessException(StatResponseEnum.ARRAY_DATA_NOT_MATCH);
         }
         Map<String,String> map = new Gson().fromJson(String.valueOf(redisUtil.getObjectByKey(AppRedisKey.ELE_EPD_PQD)), Map.class);
+
+        boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
+        //fixme 捂脸设备上送的是北京时间，时序数据库录入时 需要utc时间，减去8小时
+        long originalTimeSec = flag ? item.getDataTimeSec() : item.getDataTimeSec() - 8 * 3600;
+        if (originalTimeSec < 0) {
+            System.out.println("originalTimeSec==:" + originalTimeSec);
+        }
+
         for (int i = 0; i < dataArrayList.size(); i++) {
             String tableName = map.get(dataArrayList.get(i).getName());
+            long adjustedTimeSec;
+
+            //短时闪变 || 电压波动 10分钟
+            if (Objects.equals(tableName,"data_flicker") || Objects.equals(tableName,"data_fluc")) {
+                adjustedTimeSec = (originalTimeSec / 600) * 600;
+            }
+            //长时闪变 2小时
+            else if (Objects.equals(tableName,"data_plt")) {
+                adjustedTimeSec = (originalTimeSec / 7200) * 7200;
+            }
+            else {
+                adjustedTimeSec = originalTimeSec;
+            }
             Map<String, String> tags = new HashMap<>();
             tags.put(InfluxDBTableConstant.LINE_ID,lineId);
             tags.put(InfluxDBTableConstant.PHASIC_TYPE,dataArrayList.get(i).getPhase());
-            //todo 不清楚之前为啥要修改相别，这边按字典配置相别无法查询到数据，先改回来
-            //tags.put(InfluxDBTableConstant.PHASIC_TYPE,Objects.isNull(PHASE_MAPPING.get(dataArrayList.get(i).getPhase()))?dataArrayList.get(i).getPhase():PHASE_MAPPING.get(dataArrayList.get(i).getPhase()));
             tags.put(InfluxDBTableConstant.VALUE_TYPE,statMethod);
             tags.put(InfluxDBTableConstant.CL_DID,clDid.toString());
             tags.put(InfluxDBTableConstant.PROCESS,process.toString());
@@ -217,9 +234,8 @@ public class StatServiceImpl implements IStatService {
             //这边特殊处理，如果数据为3.14159，则将数据置为null
             fields.put(dataArrayList.get(i).getName(),Objects.equals(floats.get(i),3.14159f) ? null:floats.get(i));
             fields.put(InfluxDBTableConstant.IS_ABNORMAL,item.getDataTag());
-            //fixme 设备上送的是北京时间，时序数据库录入时 需要utc时间，减去8小时
-            boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
-            Point point = influxDbUtils.pointBuilder(tableName, flag?item.getDataTimeSec():item.getDataTimeSec()-8*3600, TimeUnit.SECONDS, tags, fields);
+
+            Point point = influxDbUtils.pointBuilder(tableName, adjustedTimeSec, TimeUnit.SECONDS, tags, fields);
             BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
             batchPoints.point(point);
             records.add(batchPoints.lineProtocol());
@@ -227,6 +243,43 @@ public class StatServiceImpl implements IStatService {
         return records;
     }
 
+//    public List<String> assembleData(String lineId,List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray item,Integer clDid,String statMethod,Integer process,String devType,String accessMethod) {
+//        List<String> records = new ArrayList<String>();
+//        //解码
+//        List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(item.getData()));
+//        if (CollectionUtil.isEmpty(floats)){
+//            throw new BusinessException(StatResponseEnum.AUTO_DATA_NULL);
+//        }
+//        //校验模板和解码数据数量能否对应上
+//        if (!Objects.equals(dataArrayList.size(),floats.size())){
+//            throw new BusinessException(StatResponseEnum.ARRAY_DATA_NOT_MATCH);
+//        }
+//        Map<String,String> map = new Gson().fromJson(String.valueOf(redisUtil.getObjectByKey(AppRedisKey.ELE_EPD_PQD)), Map.class);
+//        for (int i = 0; i < dataArrayList.size(); i++) {
+//            String tableName = map.get(dataArrayList.get(i).getName());
+//            Map<String, String> tags = new HashMap<>();
+//            tags.put(InfluxDBTableConstant.LINE_ID,lineId);
+//            tags.put(InfluxDBTableConstant.PHASIC_TYPE,dataArrayList.get(i).getPhase());
+//            //todo 不清楚之前为啥要修改相别，这边按字典配置相别无法查询到数据，先改回来
+//            //tags.put(InfluxDBTableConstant.PHASIC_TYPE,Objects.isNull(PHASE_MAPPING.get(dataArrayList.get(i).getPhase()))?dataArrayList.get(i).getPhase():PHASE_MAPPING.get(dataArrayList.get(i).getPhase()));
+//            tags.put(InfluxDBTableConstant.VALUE_TYPE,statMethod);
+//            tags.put(InfluxDBTableConstant.CL_DID,clDid.toString());
+//            tags.put(InfluxDBTableConstant.PROCESS,process.toString());
+//            tags.put(InfluxDBTableConstant.QUALITY_FLAG,"0");
+//            Map<String,Object> fields = new HashMap<>();
+//            //这边特殊处理，如果数据为3.14159，则将数据置为null
+//            fields.put(dataArrayList.get(i).getName(),Objects.equals(floats.get(i),3.14159f) ? null:floats.get(i));
+//            fields.put(InfluxDBTableConstant.IS_ABNORMAL,item.getDataTag());
+//            //fixme 设备上送的是北京时间，时序数据库录入时 需要utc时间，减去8小时
+//            boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
+//            Point point = influxDbUtils.pointBuilder(tableName, flag?item.getDataTimeSec():item.getDataTimeSec()-8*3600, TimeUnit.SECONDS, tags, fields);
+//            BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
+//            batchPoints.point(point);
+//            records.add(batchPoints.lineProtocol());
+//        }
+//        return records;
+//    }
+
     public List<CsDataArray> objectToList(Object object) {
         List<CsDataArray> urlList = new ArrayList<>();
         if (object != null) {