feat(algorithm): 添加监测点接线方式缓存优化数据处理逻辑

- 在ExecutionCenter中引入CsLineDTO和RedisUtil依赖
- 实现监测点、接线方式数据缓存到Redis功能，设置3小时过期时间
- 修改wlMeasurementPointExecutor方法使用缓存的线路ID列表
- 在数据处理服务中添加Gson和TypeToken用于JSON序列化
- 实现根据接线方式过滤电压类型数据的功能
- 添加线电压和相电压类型常量定义
- 优化数据查询逻辑，按监测点分组后根据接线方式过滤多余数据
- 实现线电压数据向相电压数据的特殊处理逻辑
- 统一返回经过接线方式过滤后的数据结果

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/ExecutionCenter.java

@@ -16,6 +16,7 @@ import com.njcn.common.pojo.annotation.OperateInfo;
 import com.njcn.common.pojo.enums.common.LogEnum;
 import com.njcn.common.pojo.exception.BusinessException;
 import com.njcn.csdevice.api.CsLineFeignClient;
+import com.njcn.csdevice.pojo.dto.CsLineDTO;
 import com.njcn.device.biz.commApi.CommTerminalGeneralClient;
 import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
 import com.njcn.device.biz.pojo.dto.DeptGetDeviceDTO;
@@ -23,6 +24,7 @@ import com.njcn.device.biz.pojo.dto.DeptGetSubStationDTO;
 import com.njcn.device.biz.pojo.dto.LineDevGetDTO;
 import com.njcn.device.biz.pojo.param.DeptGetLineParam;
 import com.njcn.device.pq.api.DeptLineFeignClient;
+import com.njcn.redis.utils.RedisUtil;
 import com.njcn.user.api.DeptFeignClient;
 import com.njcn.user.pojo.po.Dept;
 import com.njcn.web.controller.BaseController;
@@ -73,6 +75,8 @@ public class ExecutionCenter extends BaseController {
     private CsLineFeignClient csLineFeignClient;
     @Resource
     private FlowAsyncService flowService;
+    @Resource
+    private RedisUtil redisUtil;
 
     /***
      * 1、校验非全链执行时，tagNames节点标签集合必须为非空，否则提示---无可执行节点
@@ -143,9 +147,27 @@ public class ExecutionCenter extends BaseController {
         String methodDescribe = getMethodDescribe("wlMeasurementPointExecutor");
         //手动判断参数是否合法,
         CalculatedParam calculatedParam = judgeExecuteParam(baseParam);
+        //缓存监测点、接线方式数据
+        List<CsLineDTO> csLineDTOList = csLineFeignClient.getAllLineDetail().getData();
+        List<String> lineIdList = new ArrayList<>();
+        Map<String, Integer> lineConTypeMap = new HashMap<>();
+        if (CollectionUtils.isNotEmpty(csLineDTOList)) {
+            lineIdList = csLineDTOList.stream().map(CsLineDTO::getLineId).collect(Collectors.toList());
+            //接线方式(0-星型 1-角型 2-V型)
+            lineConTypeMap = csLineDTOList.stream()
+                    .filter(dto -> dto.getLineId() != null)
+                    .collect(Collectors.toMap(
+                            CsLineDTO::getLineId,
+                            dto -> dto.getConType() != null ? dto.getConType() : 0,
+                            (v1, v2) -> v1
+                    ));
+            redisUtil.saveByKeyWithExpire("wlLineDetail", lineConTypeMap, 3600L*3);
+        }
         // 测点索引
         if (CollectionUtils.isEmpty(calculatedParam.getIdList())) {
-            calculatedParam.setIdList(csLineFeignClient.getAllLine().getData());
+            calculatedParam.setIdList(lineIdList);
+        } else {
+            calculatedParam.setIdList(calculatedParam.getIdList());
         }
         LiteflowResponse liteflowResponse;
         if (baseParam.isRepair()) {

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java

@@ -3,6 +3,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
 import cn.hutool.core.collection.CollUtil;
 import cn.hutool.core.collection.CollectionUtil;
 import cn.hutool.core.util.ObjectUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.dataProcess.dao.imapper.DataFlickerMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper;
@@ -15,11 +17,14 @@ import com.njcn.dataProcess.pojo.po.RStatDataFlickerD;
 import com.njcn.dataProcess.service.IDataFlicker;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
+import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
@@ -38,15 +43,19 @@ import java.util.stream.Collectors;
 public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRelationMapper, RStatDataFlickerD> implements IDataFlicker {
 
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
-
     private final DataFlickerMapper dataFlickerMapper;
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
 
     @Override
@@ -229,6 +238,13 @@ public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRela
      */
     public List<DataFlicker> getMinuteData(LineCountEvaluateParam lineParam) {
         List<DataFlicker> result = new ArrayList<>();
+        List<DataFlicker> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFlicker.class);
         influxQueryWrapper.regular(DataFlicker::getLineId, lineParam.getLineId())
                 .select(DataFlicker::getLineId)
@@ -242,13 +258,30 @@ public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRela
                 .eq(DataFlicker::getQualityFlag, "0");
         quality(result, influxQueryWrapper, lineParam);
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataFlicker>> lineMap = result.stream().collect(Collectors.groupingBy(DataFlicker::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataFlicker> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
         }
-        return result;
+        return data;
     }
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java

@@ -1,6 +1,8 @@
 package com.njcn.dataProcess.service.impl.influxdb;
 
 import cn.hutool.core.collection.CollectionUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.dataProcess.dao.imapper.DataFlucMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper;
@@ -13,11 +15,14 @@ import com.njcn.dataProcess.pojo.po.RStatDataFlucD;
 import com.njcn.dataProcess.service.IDataFluc;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
+import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
@@ -36,15 +41,19 @@ import java.util.stream.Collectors;
 public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMapper, RStatDataFlucD> implements IDataFluc {
 
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
-
     private final DataFlucMapper dataFlucMapper;
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
     @Override
     public void batchInsertion(List<DataFlucDTO> dataFlucDTOList) {
@@ -147,6 +156,13 @@ public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMa
     public List<DataFluc> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap, Boolean dataType) {
         List<DataFluc> dataList;
         List<DataFluc> result = new ArrayList<>();
+        List<DataFluc> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFluc.class);
         influxQueryWrapper.regular(DataFluc::getLineId, lineList)
                 .select(DataFluc::getLineId)
@@ -195,14 +211,31 @@ public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMa
             }
         }
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataFluc>> lineMap = result.stream().collect(Collectors.groupingBy(DataFluc::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataFluc> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
         }
-        return result;
+        return data;
     }
 
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmRateVImpl.java

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
 
 import cn.hutool.core.collection.CollUtil;
 import cn.hutool.core.collection.CollectionUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.common.utils.HarmonicTimesUtil;
 import com.njcn.dataProcess.constant.InfluxDBTableConstant;
@@ -9,6 +11,7 @@ import com.njcn.dataProcess.dao.imapper.DataHarmRateVMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmRateVRelationMapper;
 import com.njcn.dataProcess.dto.DataHarmrateVDTO;
 import com.njcn.dataProcess.param.LineCountEvaluateParam;
+import com.njcn.dataProcess.po.influx.DataFlicker;
 import com.njcn.dataProcess.po.influx.DataHarmrateV;
 import com.njcn.dataProcess.po.influx.DataV;
 import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -19,11 +22,14 @@ import com.njcn.dataProcess.service.IDataHarmRateV;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.constant.InfluxDbSqlConstant;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
+import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
@@ -36,17 +42,20 @@ import java.util.stream.Collectors;
 @Service("InfluxdbDataHarmRateVImpl")
 @RequiredArgsConstructor
 public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateVRelationMapper, RStatDataHarmRateVD> implements IDataHarmRateV {
-
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
-
     private final DataHarmRateVMapper dataHarmRateVMapper;
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
     @Override
     public List<DataHarmDto> getRawData(LineCountEvaluateParam lineParam) {
@@ -244,6 +253,13 @@ public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateV
     public List<DataHarmrateV> getMinuteData(LineCountEvaluateParam lineParam) {
         List<DataHarmrateV> dataList;
         List<DataHarmrateV> result = new ArrayList<>();
+        List<DataHarmrateV> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmrateV.class);
         influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
         influxQueryWrapper.regular(DataHarmrateV::getLineId, lineParam.getLineId())
@@ -295,13 +311,30 @@ public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateV
             }
         }
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataHarmrateV>> lineMap = result.stream().collect(Collectors.groupingBy(DataHarmrateV::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataHarmrateV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
         }
-        return result;
+        return data;
     }
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
 
 import cn.hutool.core.collection.CollUtil;
 import cn.hutool.core.collection.CollectionUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.common.utils.HarmonicTimesUtil;
 import com.njcn.dataProcess.dao.imapper.DataHarmphasicVMapper;
@@ -17,11 +19,14 @@ import com.njcn.dataProcess.service.IDataHarmphasicV;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.constant.InfluxDbSqlConstant;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
+import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
@@ -41,13 +46,18 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
 
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
     private final DataHarmphasicVMapper dataHarmphasicVMapper;
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
 
     @Override
@@ -205,6 +215,13 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
     public List<DataHarmphasicV> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap, Boolean dataType) {
         List<DataHarmphasicV> dataList;
         List<DataHarmphasicV> result = new ArrayList<>();
+        List<DataHarmphasicV> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmphasicV.class);
         influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
         influxQueryWrapper.regular(DataHarmphasicV::getLineId, lineList)
@@ -253,13 +270,30 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
             }
         }
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataHarmphasicV>> lineMap = result.stream().collect(Collectors.groupingBy(DataHarmphasicV::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataHarmphasicV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
         }
-        return result;
+        return data;
     }
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
 
 import cn.hutool.core.collection.CollUtil;
 import cn.hutool.core.collection.CollectionUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.dataProcess.dao.imapper.DataPltMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataPltRelationMapper;
@@ -15,11 +17,14 @@ import com.njcn.dataProcess.pojo.po.RStatDataPltD;
 import com.njcn.dataProcess.service.IDataPlt;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
+import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
@@ -39,13 +44,18 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
 
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
     private final DataPltMapper dataPltMapper;
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
     @Override
     public void batchInsertion(List<DataPltDTO> dataPltDTOList) {
@@ -152,6 +162,13 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
     public List<DataPlt> getMinuteDataPlt(LineCountEvaluateParam lineParam) {
         List<DataPlt> dataList;
         List<DataPlt> result = new ArrayList<>();
+        List<DataPlt> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataPlt.class);
         influxQueryWrapper.regular(DataPlt::getLineId, lineParam.getLineId())
                 .select(DataPlt::getLineId)
@@ -202,13 +219,30 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
             }
         }
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataPlt>> lineMap = result.stream().collect(Collectors.groupingBy(DataPlt::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataPlt> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
         }
-        return result;
+        return data;
     }
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java

@@ -4,6 +4,8 @@ import cn.hutool.core.collection.CollUtil;
 import cn.hutool.core.collection.CollectionUtil;
 import cn.hutool.core.collection.ListUtil;
 import cn.hutool.core.util.ObjectUtil;
+import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
+import com.alibaba.nacos.shaded.com.google.gson.Gson;
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.common.utils.HarmonicTimesUtil;
 import com.njcn.dataProcess.constant.InfluxDBTableConstant;
@@ -24,16 +26,19 @@ import com.njcn.dataProcess.service.IDataV;
 import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.constant.InfluxDbSqlConstant;
 import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.redis.utils.RedisUtil;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.ListUtils;
 import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
 import javax.annotation.Resource;
+import java.lang.reflect.Type;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
 import java.util.*;
+import java.util.function.Function;
 import java.util.stream.Collectors;
 
 /**
@@ -46,16 +51,20 @@ import java.util.stream.Collectors;
 public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper, RStatDataVD> implements IDataV {
 
     private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
-
     private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
         put("AB", "A");
         put("BC", "B");
         put("CA", "C");
         put("M", "T");
     }};
-
     @Resource
     private DataVMapper dataVMapper;
+    @Resource
+    private RedisUtil redisUtil;
+    private static final Set<String> LINE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
+    private static final Set<String> PHASE_VOLTAGE_TYPES =
+            Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
 
     /**
      * 注意：influxdb不推荐采用in函数的方式批量查询监测点的数据，效率很低，容易造成崩溃，故每次单测点查询
@@ -437,6 +446,13 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
      */
     public List<DataV> getMinuteDataV(LineCountEvaluateParam lineParam) {
         List<DataV> result = new ArrayList<>();
+        List<DataV> data = new ArrayList<>();
+        //获取监测点、接线方式数据
+        Type type = new TypeToken<Map<String, Integer>>(){}.getType();
+        Map<String, Integer> map = new Gson().fromJson(
+                String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
+                type
+        );
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataV.class);
         influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
         influxQueryWrapper.regular(DataV::getLineId, lineParam.getLineId())
@@ -463,14 +479,74 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
         }
         quality(result, influxQueryWrapper, lineParam);
         if (CollectionUtil.isNotEmpty(result)) {
-            result.forEach(item -> {
+            if (!Objects.isNull(map)) {
-                String newType = PHASE_MAPPING.get(item.getPhasicType());
+                //现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
-                if (newType != null) {
+                Map<String, List<DataV>> lineMap = result.stream().collect(Collectors.groupingBy(DataV::getLineId));
-                    item.setPhasicType(newType);
+                lineMap.forEach((k,v)->{
-                }
+                    if (Objects.isNull(map.get(k))) {
-            });
+                        return;
+                    }
+                    //这边需要特殊处理下，将线电压数据赋值
+                    Map<String, DataV> lineVoltageIndex = v.stream()
+                            .filter(d -> PHASE_MAPPING.containsKey(d.getPhasicType()))
+                            .filter(d -> d.getRmsLvr() != null)
+                            .collect(Collectors.toMap(
+                                    d -> buildKey(d.getTime(), d.getValueType(), d.getPhasicType()),
+                                    Function.identity(),
+                                    (existing, replacement) -> existing
+                            ));
+                    v.stream()
+                            .filter(d -> PHASE_VOLTAGE_TYPES.contains(d.getPhasicType()))
+                            .forEach(phaseData -> {
+                                // 根据当前相电压反查对应的线电压相别
+                                String targetLinePhasic = getReverseLinePhasic(phaseData.getPhasicType());
+                                if (targetLinePhasic == null) {
+                                    return;
+                                }
+                                String key = buildKey(phaseData.getTime(), phaseData.getValueType(), targetLinePhasic);
+                                DataV matchedLineData = lineVoltageIndex.get(key);
+                                if (matchedLineData != null && matchedLineData.getRmsLvr() != null) {
+                                    phaseData.setRmsLvr(matchedLineData.getRmsLvr());
+                                }
+                            });
+                    Integer conType = map.get(k);
+                    Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
+                    List<DataV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
+                    data.addAll(result2);
+                });
+            } else {
+                data.addAll(result);
+            }
+            if (CollectionUtil.isNotEmpty(data)) {
+                data.forEach(item -> {
+                    String newType = PHASE_MAPPING.get(item.getPhasicType());
+                    if (newType != null) {
+                        item.setPhasicType(newType);
+                    }
+                });
+            }
+        }
+        return data;
+    }
+
+    private static String buildKey(Object time, Object valueType, Object phasicType) {
+        return time + "|" + valueType + "|" + phasicType;
+    }
+
+    private static String getReverseLinePhasic(String phaseType) {
+        if (phaseType == null) {
+            return null;
+        }
+        switch (phaseType) {
+            case "A":
+                return "AB";
+            case "B":
+                return "BC";
+            case "C":
+                return "CA";
+            default:
+                return null;
         }
-        return result;
     }
 
     private void quality(List<DataV> result, InfluxQueryWrapper influxQueryWrapper, LineCountEvaluateParam lineParam) {