Middleware/cn-data-platform
6
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 1 Wiki Activity

微调

Browse Source
This commit is contained in:
xy
2026-01-28 08:40:51 +08:00
parent fd398a85de
commit 4f8c34d21b
1 changed files with 14 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/IDataLimitRateAsyncImpl.java
View File

@@ -123,7 +123,7 @@ public class IDataLimitRateAsyncImpl implements IDataLimitRateAsync {
*/
Map<String, List<DataHarmDto>> harmRateV = dataVHarmList.stream()
.filter(x -> phase.contains(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataHarmDto::getLineId));
/**
@@ -131,7 +131,7 @@ public class IDataLimitRateAsyncImpl implements IDataLimitRateAsync {
*/
Map<String, List<DataIDto>> dataI = dataIList.stream()
.filter(x -> phase.contains(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataIDto::getLineId));
@@ -140,7 +140,7 @@ public class IDataLimitRateAsyncImpl implements IDataLimitRateAsync {
*/
Map<String, List<DataHarmDto>> inHarmV = dataVInHarmList.stream()
.filter(x -> phase.contains(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataHarmDto::getLineId));
/**
@@ -148,41 +148,41 @@ public class IDataLimitRateAsyncImpl implements IDataLimitRateAsync {
*/
Map<String, List<DataVDto>> dataVThd = dataVAllTime.stream()
.filter(x -> phase.contains(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataVDto::getLineId));
/**
* 功能描述:获取influxDB -> data_v -> 负序电压不平衡度 -> 最大值 && 日95%概率值
*/
Map<String, List<DataVDto>> dataVUnbalance = dataVAllTime.stream()
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equals(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()) ||
InfluxDBTableConstant.MAX.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equalsIgnoreCase(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()) ||
InfluxDBTableConstant.MAX.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataVDto::getLineId));
/**
* 功能描述:获取influxDB -> data_i -> 负序电流 -> 最大值 && 日95%概率值
*/
Map<String, List<DataIDto>> dataINeg = dataIList.stream()
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equals(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equals(x.getValueType()) ||
InfluxDBTableConstant.MAX.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equalsIgnoreCase(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.CP95.equalsIgnoreCase(x.getValueType()) ||
InfluxDBTableConstant.MAX.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataIDto::getLineId));
/**
* 功能描述:获取influxDB -> data_v -> 频率偏差 -> 最大值 && 最小值
*/
Map<String, List<DataVDto>> dataVFreq = dataVAllTime.stream()
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equals(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.MIN.equals(x.getValueType()) ||
InfluxDBTableConstant.MAX.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.PHASE_TYPE_T.equalsIgnoreCase(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.MIN.equalsIgnoreCase(x.getValueType()) ||
InfluxDBTableConstant.MAX.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataVDto::getLineId));
/**
* 功能描述:获取influxDB -> data_v -> 电压偏差 -> 最大值
*/
Map<String, List<DataVDto>> dataVDev = dataVAllTime.stream()
.filter(x -> phase.contains(x.getPhasicType()))
.filter(x -> InfluxDBTableConstant.MAX.equals(x.getValueType()))
.filter(x -> InfluxDBTableConstant.MAX.equalsIgnoreCase(x.getValueType()))
.collect(Collectors.groupingBy(DataVDto::getLineId));
/**