1.告警统计算法调整

2.告警统计详情接口代码逻辑调整

pqs-device/pms-device/pms-device-boot/src/main/java/com/njcn/device/pms/service/majornetwork/impl/RStatZwAlarmCountWServiceImpl.java

@@ -143,9 +143,10 @@ implements RStatZwAlarmCountWService {
         List<DictData> voltageLevelList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DEV_VOLTAGE.getCode()).getData();
         //将电压信息转成map，key：id  value：name
         Map<String, String> voltageLevelMap = voltageLevelList.stream().collect(Collectors.toMap(DictData::getId, DictData::getName));
+        List<String> data = deptFeignClient.getDepSonSelfCodetByCode(id).getData();
         //查询当前单位下监测点idList
         LambdaQueryWrapper<Monitor> monitorLambdaQueryWrapper = new LambdaQueryWrapper<>();
-        monitorLambdaQueryWrapper.eq(Monitor::getOrgId, id);
+        monitorLambdaQueryWrapper.in(Monitor::getOrgId, data);
         List<String> orgMeasurementPointIdList = iMonitorService.list(monitorLambdaQueryWrapper).stream().map(Monitor::getId).collect(Collectors.toList());
         //如果单位下没有监测点，直接返回空集合
         if (CollUtil.isEmpty(orgMeasurementPointIdList)) {
@@ -153,117 +154,43 @@ implements RStatZwAlarmCountWService {
         }
         //以周为时间段，查询告警超过四次的监测点信息
         LambdaQueryWrapper<RMpTargetWarnD> targetWarnWrapper = new LambdaQueryWrapper<>();
-        targetWarnWrapper.select(RMpTargetWarnD::getMeasurementPointId)
+        targetWarnWrapper
                 .in(RMpTargetWarnD::getMeasurementPointId, orgMeasurementPointIdList)
                 .ge(StringUtils.isNotBlank(startTime), RMpTargetWarnD::getDataDate, startTime)
                 .le(StringUtils.isNotBlank(endTime), RMpTargetWarnD::getDataDate, endTime)
-                .groupBy(RMpTargetWarnD::getMeasurementPointId)
-                //拼接条件
-                .and(qw ->
-                qw.eq(RMpTargetWarnD::getIsEffective, 0)//是否是有效接入监测点(0:否 1:是)
-                .or() //开始拼接or条件
-                .eq(RMpTargetWarnD::getIsHarmonic, 1)//是否是稳态超标监测点(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsEvent, 1) //是否是发生暂态的监测点(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsWarn, 1) //是否是告警监测点数(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsVDevWarn, 1) //电压偏差是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsFreqWarn, 1) //频率偏差是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsUnbalanceWarn, 1) //三相电压不平衡度是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsVWarn, 1) //谐波电压是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsFlickerWarn, 1) //闪变是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsSagWarn, 1) //电压暂降是否告警(0:否 1:是)
-                .or()
-                .eq(RMpTargetWarnD::getIsInterruptWarn, 1) //短时中断是否告警(0:否 1:是)
-                )
-                .having("count(measurement_point_id) >= {0}", 4);
+                .eq(RMpTargetWarnD::getIsEffective,1);
+        List<RMpTargetWarnD> measurementPointIdList = rMpTargetWarnDService.list(targetWarnWrapper);
 
-//        LambdaQueryWrapper<RMpPwAlarmDetailD> alarmDetailWrapper = new LambdaQueryWrapper<>();
-        /*
-        组装查询条件：select count(1) from r_mp_pw_alarm_detail_d where data_date <= '2022-10-23'
-             and data_date >= '2022-10-17' and measurement_point_id in (orgMeasurementPointIdList)
-             group by measurement_point_id having count(measurement_point_id) >= 4
-         */
-//        alarmDetailWrapper.select(RMpPwAlarmDetailD::getMeasurementPointId)
-//                .in(RMpPwAlarmDetailD::getMeasurementPointId, orgMeasurementPointIdList)
-//                .ge(StringUtils.isNotBlank(startTime), RMpPwAlarmDetailD::getDataDate, startTime)
-//                .le(StringUtils.isNotBlank(endTime), RMpPwAlarmDetailD::getDataDate, endTime)
-//                .groupBy(RMpPwAlarmDetailD::getMeasurementPointId)
-//                .having("count(measurement_point_id) >= {0}", 4);
-        //告警超过四次的监测点idList
-        List<String> measurementPointIdList = rMpTargetWarnDService.listObjs(targetWarnWrapper, Object::toString);
+        //获取大于四次的监测点集合
+        List<String> MonitorIdsQuartic = measurementPointIdList.stream()
+                .filter(obj -> obj.getIsWarn() == 1)
+                .collect(Collectors.groupingBy(RMpTargetWarnD::getMeasurementPointId, Collectors.counting()))
+                .entrySet().stream()
+                .filter(e -> e.getValue() >= 4).map(x->x.getKey()).collect(Collectors.toList());
 
         // 计算问题严重的监测点
-        //  获取查询条件：月份开始时间、结束时间
-        Date date = DateUtil.parse(startTime);
-        String startTimeOfMonth = DateUtil.format(DateUtil.beginOfMonth(date), "yyyy-MM-dd");
-        String endTimeOfMonth = DateUtil.format(DateUtil.endOfMonth(date), "yyyy-MM-dd");
-        //获取查询月份的自然月天数
-        int monthDay = Month.of(DateUtil.month(date)).getLastDay(DateUtil.isLeapYear(DateUtil.year(date)));
+        Map<String, Double> avgStatusOneCountByAlarmId = measurementPointIdList.stream()
+                .filter(alarm -> alarm.getIsWarn() == 1)
+                .collect(Collectors.groupingBy(RMpTargetWarnD::getMeasurementPointId, Collectors.counting()))
+                .entrySet().stream()
+                .collect(Collectors.toMap(Map.Entry::getKey, e -> e.getValue() / 7.0));
 
-        //根据单位下监测点idList、月份条件查询监测点告警信息
-        List<RMpTargetWarnD> targetWarnDList;
+        // 对 map 中的 value 进行从大到小的排序，并且排除 value 为 0 的元素
+        List<String> sortedAvgStatusOneCountByAlarmId = avgStatusOneCountByAlarmId.entrySet().stream()
+                .filter(e -> e.getValue() != 0)
+                .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder()))
+                .map(Map.Entry::getKey)
+                .collect(Collectors.toList());
+        if(CollUtil.isNotEmpty(sortedAvgStatusOneCountByAlarmId)){
+            // 获取前 30% 的告警 id 数量
+            double v = sortedAvgStatusOneCountByAlarmId.size() * 0.3;
+            int top30PercentCount = (int) (v<1?Math.ceil(v):v);
+            MonitorIdsQuartic.addAll(sortedAvgStatusOneCountByAlarmId.subList(0,top30PercentCount));
+        }
 
-        targetWarnWrapper.clear();
-        //组装查询条件：
-        targetWarnWrapper.in(RMpTargetWarnD::getMeasurementPointId, orgMeasurementPointIdList)
-                .ge(StringUtils.isNotBlank(startTime), RMpTargetWarnD::getDataDate, startTimeOfMonth)
-                .le(StringUtils.isNotBlank(endTime), RMpTargetWarnD::getDataDate, endTimeOfMonth);
-        targetWarnDList = rMpTargetWarnDService.list(targetWarnWrapper);
-
-        //使用stream的分组方法（Collectors.partitioningBy()）对告警记录和没有告警的记录进行分组 true：有告警的记录 false：没有告警的记录
-//        Map<Boolean, List<RMpTargetWarnD>> booleanListMap = targetWarnDList.stream().collect(Collectors.groupingBy(
-//                item -> item.getIsEffective() == 1 || item.getIsHarmonic() == 1 || item.getIsEvent() == 1 || item.getIsWarn() == 1
-//                || item.getIsVDevWarn() == 1 || item.getIsFreqWarn() == 1 || item.getIsUnbalanceWarn() == 1 || item.getIsVWarn() == 1
-//                || item.getIsFlickerWarn() == 1 || item.getIsSagWarn() == 1 || item.getIsInterruptWarn() == 1));
-        //提取有告警情况的记录
-//        List<RMpTargetWarnD> rMpTargetWarnDS4Warn = booleanListMap.get(true);
-        //提取没有告警情况的记录
-//        List<RMpTargetWarnD> rMpTargetWarnDS4Normal = booleanListMap.get(true);
-        //过滤出有告警信息的记录
-        List<RMpTargetWarnD> rMpTargetWarnDS4Warn = targetWarnDList.stream().filter(
-                item -> item.getIsEffective() == 1 || item.getIsHarmonic() == 1 || item.getIsEvent() == 1 || item.getIsWarn() == 1
-                        || item.getIsVDevWarn() == 1 || item.getIsFreqWarn() == 1 || item.getIsUnbalanceWarn() == 1 || item.getIsVWarn() == 1
-                        || item.getIsFlickerWarn() == 1 || item.getIsSagWarn() == 1 || item.getIsInterruptWarn() == 1).collect(Collectors.toList());
-        //创建map集合，用于统计某个监测点的记录条数
-        HashMap<String, Integer> monitorCountMap = new HashMap<>();
-        for (RMpTargetWarnD item : rMpTargetWarnDS4Warn) {
-            if (monitorCountMap.containsKey(item.getMeasurementPointId())) {
-                monitorCountMap.put(item.getMeasurementPointId(), monitorCountMap.get(item.getMeasurementPointId()) + 1);
-            } else {
-                monitorCountMap.put(item.getMeasurementPointId(), 1);
-            }
-        }
-        //创建map集合，key：监测点id  value：严重程度
-        HashMap<String, Double> severityMap = new HashMap<>();
-        for (String measurementPointId : monitorCountMap.keySet()) {
-            Integer integer = monitorCountMap.get(measurementPointId); //当前遍历的监测点告警天数
-            double severity = integer / (monthDay * 1.0); //严重程度
-            severityMap.put(measurementPointId, severity);
-        }
-        //给严重程度从大到小排序，并将严重程度前【30%】的监测点id放到List集合中
-//        List<String> severity = new ArrayList<>();
-//        severityMap.entrySet().stream().sorted(Map.Entry.comparingByValue(Comparator.reverseOrder())).collect(Collectors.toList())
-//                .subList(0, (int)(severityMap.size() * 0.3)).forEach(item -> severity.add(item.getKey()));
-        List<String> severity = severityMap.entrySet().stream().sorted(Map.Entry.comparingByValue(Comparator.reverseOrder()))
-                .limit((int)Math.ceil(severityMap.size() * 0.3)).map(Map.Entry::getKey).collect(Collectors.toList());
-        //合并告警超过四次的监测点ids和严重程度前30%监测点dis
-        measurementPointIdList.addAll(severity);
-        //如果问题严重监测点id集合是空的，那直接返回空集合
-        if (CollUtil.isEmpty(measurementPointIdList)) {
-            return new ArrayList<>();
-        }
         //去除集合中重复的监测点id，得到最终的有严重问题的监测点id集合
-        List<String> lastMeasurementPointList = measurementPointIdList.stream().distinct().collect(Collectors.toList());
-        //根据监测点ids查询监测点信息
         monitorLambdaQueryWrapper.clear();
-        monitorLambdaQueryWrapper.in(Monitor::getId, lastMeasurementPointList);
+        monitorLambdaQueryWrapper.in(Monitor::getId, MonitorIdsQuartic);
         List<Monitor> monitorList = iMonitorService.list(monitorLambdaQueryWrapper);
         //提取出监测点相关的变电站id，获取变电站电压等级map（key: 变电站id  value: 电压等级）
         List<String> powerIdList = monitorList.stream().map(Monitor::getPowerrId).collect(Collectors.toList());
@@ -281,7 +208,6 @@ implements RStatZwAlarmCountWService {
             problemMonitorDetailVO.setPowerName(item.getPowerrName()); //变电站名称
             problemMonitorDetailVO.setVoltageLevel(stationVoltageLevelMap.get(item.getPowerrId())); //变电站电压等级id
             problemMonitorDetailVO.setVoltageLevelName(voltageLevelMap.get(stationVoltageLevelMap.get(item.getPowerrId()))); //变电站电压等级
-
             return problemMonitorDetailVO;
         }).collect(Collectors.toList());
         return resultList;

pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/Impl/area/RStatHarmonicOrgServiceImpl.java

@@ -74,7 +74,7 @@ public class RStatHarmonicOrgServiceImpl implements RStatHarmonicOrgService {
     private final RStatHarmonicOrgQPOService rStatHarmonicQPOService;
     private final RStatHarmonicOrgYPOService rStatHarmonicYPOService;
 
-    DecimalFormat df = new DecimalFormat("0.00");
+    DecimalFormat df = new DecimalFormat("0.00000");
 
 
 

pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/newalgorithm/impl/RAlarmCountServiceImpl.java

@@ -109,8 +109,8 @@ public class RAlarmCountServiceImpl implements RAlarmCountService {
                         .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue, (oldValue, newValue) -> oldValue, LinkedHashMap::new));
 
                 // 获取前 30% 的告警 id 数量
-                int top30PercentCount = (int) (sortedAvgStatusOneCountByAlarmId.size() * 0.3) + 1;
-
+                double v = sortedAvgStatusOneCountByAlarmId.size() * 0.3;
+                int top30PercentCount = (int) (v<1?Math.ceil(v):v);
                 RStatZwAlarmCountWPO rStatZwAlarmCountWPO = new RStatZwAlarmCountWPO();
                 rStatZwAlarmCountWPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
                 rStatZwAlarmCountWPO.setDataDate(localDate);