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算法模块删除不必要的代码，有备份，如果存疑就联系我

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hongawen
2024-10-31 16:26:20 +08:00
parent 7bc9cb9792
commit 5d80582e23
11 changed files with 0 additions and 1472 deletions
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120
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/controller/area/PrimaryGridDataController.java
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package com.njcn.prepare.harmonic.controller.area;
import com.njcn.common.pojo.annotation.OperateInfo;
import com.njcn.common.pojo.constant.BizParamConstant;
import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.enums.response.CommonResponseEnum;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.common.utils.HttpResultUtil;
import com.njcn.common.utils.NjcnDateUtils;
import com.njcn.device.pms.api.PmsTerminalClient;
import com.njcn.device.pms.pojo.param.PmsBaseParam;
import com.njcn.device.pms.pojo.po.PmsTerminal;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridDataIntegrityParam;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridParam;
import com.njcn.prepare.harmonic.service.mysql.area.PrimaryGridDataService;
import com.njcn.user.api.DeptFeignClient;
import com.njcn.user.pojo.vo.PvTerminalTreeVO;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiImplicitParam;
import io.swagger.annotations.ApiOperation;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.util.CollectionUtils;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
/**
* Description:r_operating_index_d
* 接口文档访问地址：http://serverIP:port/swagger-ui.html
* Date: 2022/11/24 14:31【需求编号】
*
* @author clam
* @version V1.0.0
*/
@Slf4j
@Api(tags = "主网单位数据统计(r_operating_index_d表数据需要先生成r_stat_abnormal_d，r_mp_integrity_d表)")
@RestController
@RequestMapping("primaryGridData")
@RequiredArgsConstructor
@Deprecated
public class PrimaryGridDataController extends BaseController {
private @Autowired
PrimaryGridDataService primaryGridDataService;
private @Autowired
DeptFeignClient deptFeignClient;
private @Autowired
PmsTerminalClient pmsTerminalClient;
@ApiOperation("主网单位数据同步(r_operating_index_d表数据)")
@ApiImplicitParam(value = "primaryGridParam", name = "primaryGridParam", required = true)
@PostMapping("primaryGridDataHanlder")
@OperateInfo(info = LogEnum.BUSINESS_MEDIUM)
public HttpResult<Boolean> primaryGridDataHanlder(@RequestBody PrimaryGridParam primaryGridParam) {
log.info(LocalDateTime.now() + "primaryGridDataHanlder开始执行");
String methodDescribe = getMethodDescribe("primaryGridDataHanlder");
List<String> orgIdList;
if (CollectionUtils.isEmpty(primaryGridParam.getOrgIdList())) {
List<PvTerminalTreeVO> dept = deptFeignClient.allDeptList().getData();
orgIdList = dept.stream().map(PvTerminalTreeVO::getId).collect(Collectors.toList());
} else {
orgIdList = primaryGridParam.getOrgIdList();
}
primaryGridParam.setOrgIdList(orgIdList);
if (primaryGridParam.getRepairFlag() && Integer.valueOf(BizParamConstant.STAT_BIZ_DAY).equals(primaryGridParam.getType())) {
List<String> timeRange = NjcnDateUtils.findEveryDay(primaryGridParam.getBeginTime(), primaryGridParam.getEndTime());
for (String item : timeRange) {
log.info(item + "-->开始执行");
primaryGridParam.setBeginTime(item + " " + "00:00:00");
primaryGridParam.setEndTime(item + " " + "23:59:59");
primaryGridParam.setDataDate(item);
primaryGridDataService.primaryGridDataHanlder(primaryGridParam);
}
} else {
primaryGridDataService.primaryGridDataHanlder(primaryGridParam);
}
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, true, methodDescribe);
}
@ApiOperation("主网终端数据完整率月统计")
@ApiImplicitParam(value = "primaryGridDataIntegrityParam", name = "primaryGridDataIntegrityParam", required = true)
@PostMapping("primaryGridDataIntegrityHanlder")
@OperateInfo(info = LogEnum.BUSINESS_MEDIUM)
public HttpResult<Boolean> primaryGridDataIntegrityHanlder(@RequestBody PrimaryGridDataIntegrityParam primaryGridDataIntegrityParam) {
log.info(LocalDateTime.now() + "primaryGridDataIntegrityHanlder开始执行");
String methodDescribe = getMethodDescribe("primaryGridDataIntegrityHanlder");
Boolean result = true;
List<String> orgIdList = new ArrayList<>();
if (CollectionUtils.isEmpty(primaryGridDataIntegrityParam.getDeviceId())) {
/*todo 不知道是否需要补招*/
List<PmsTerminal> data = pmsTerminalClient.getTerminalSelectList(new PmsBaseParam()).getData();
orgIdList = data.stream().map(PmsTerminal::getId).collect(Collectors.toList());
} else {
orgIdList = primaryGridDataIntegrityParam.getDeviceId();
}
primaryGridDataIntegrityParam.setDeviceId(orgIdList);
primaryGridDataService.primaryGridDataIntegrityHanlder(primaryGridDataIntegrityParam);
if (result) {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, true, methodDescribe);
} else {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.FAIL, false, methodDescribe);
}
}
}

43
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/controller/line/NormalLimitController.java
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package com.njcn.prepare.harmonic.controller.line;
import com.njcn.common.pojo.annotation.OperateInfo;
import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.enums.response.CommonResponseEnum;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.common.utils.HttpResultUtil;
import com.njcn.prepare.harmonic.pojo.param.LineParam;
import com.njcn.prepare.harmonic.service.mysql.line.NormalLimitService;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
/**
* 用于每天统计前一天异常监测点数据(需要在r_stat_limit_target_d数据后面执行)
* @author denghuajun
* @version 1.0.0
* @date 2022年10月17日 19:56
*/
@Slf4j
@RestController
@RequestMapping("/normalLimit")
@Api(tags = "告警数据预处理_mysql")
@AllArgsConstructor
public class NormalLimitController extends BaseController {
private final NormalLimitService normLimitService;
@OperateInfo(info = LogEnum.BUSINESS_COMMON)
@PostMapping("/getNormLimitData")
@ApiOperation("监测点告警数据预处理")
public HttpResult<String> getNormLimitData(@RequestBody LineParam lineParam) {
String methodDescribe = getMethodDescribe("getNormLimitData");
normLimitService.abnormalLineData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}
}

613
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/Impl/area/PrimaryGridDataServiceImpl.java
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package com.njcn.prepare.harmonic.service.mysql.Impl.area;
import cn.hutool.core.date.DatePattern;
import cn.hutool.core.date.LocalDateTimeUtil;
import cn.hutool.core.util.StrUtil;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.njcn.common.pojo.exception.BusinessException;
import com.njcn.device.biz.pojo.dto.LineDevGetDTO;
import com.njcn.device.pms.pojo.po.Monitor;
import com.njcn.harmonic.pojo.po.*;
import com.njcn.prepare.harmonic.constant.AlgorithmParam;
import com.njcn.prepare.harmonic.constant.PqsPrepareExceptionEnum;
import com.njcn.prepare.harmonic.mapper.mysql.area.RStatAbnormalDPOMapper;
import com.njcn.prepare.harmonic.pojo.dto.MonitorDataIntegrityDTO;
import com.njcn.prepare.harmonic.pojo.oracle.PqLinedetailPO;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridDataIntegrityParam;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridParam;
import com.njcn.prepare.harmonic.service.influxdb.DataVInfluxdbService;
import com.njcn.prepare.harmonic.service.mysql.area.*;
import com.njcn.prepare.harmonic.service.oracle.DataVOraclePOService;
import com.njcn.prepare.harmonic.service.oracle.PqLinedetailPOService;
import com.njcn.redis.utils.RedisUtil;
import com.njcn.system.enums.DicDataEnum;
import com.njcn.system.enums.DicDataTypeEnum;
import lombok.RequiredArgsConstructor;
import lombok.SneakyThrows;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import org.springframework.util.StringUtils;
import java.math.BigDecimal;
import java.text.SimpleDateFormat;
import java.time.LocalDate;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Objects;
import java.util.stream.Collectors;
import static com.njcn.system.pojo.constant.DicDataConstant.NAME_KEY;
/**
* Description:
* 接口文档访问地址：http://serverIP:port/swagger-ui.html
* Date: 2022/11/25 8:54【需求编号】
*
* @author clam
* @version V1.0.0
*/
@Service
@RequiredArgsConstructor
public class PrimaryGridDataServiceImpl implements PrimaryGridDataService {
private final PmsMonitorPOService pmsMonitorPOService;
private final PmsTerminalPOService pmsTerminalPOService;
private final DataVInfluxdbService dataVInfluxdbService;
private final PqLinedetailPOService pqLinedetailPOService;
private final DataVOraclePOService dataVOraclePOService;
private final RMpIntegrityDPOService rMpIntegrityDPOService;
private final RStatAbnormalDPOMapper rStatAbnormalDPOMapper;
private final ROperatingIndexDPOService rOperatingIndexDPOService;
private final ROperatingIndexMPOService rOperatingIndexMPOService;
private final ROperatingIndexQPOService rOperatingIndexQPOService;
private final ROperatingIndexYPOService rOperatingIndexYPOService;
private final RMpDevEvaluateDetailPOService rMpDevEvaluateDetailPOService;
private final RedisUtil redisUtil;
/**
* @param primaryGridParam
* @Description: primaryGridDataHanlder
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
@Override
@Async("asyncExecutor")
public void primaryGridDataHanlder(PrimaryGridParam primaryGridParam) {
if (Objects.equals(primaryGridParam.getDataSource(), AlgorithmParam.ORACLE_DATA)) {
hanlderOracleData(primaryGridParam);
} else if (Objects.equals(primaryGridParam.getDataSource(), AlgorithmParam.INFLUX_DATA)) {
hanlderInfludxbData(primaryGridParam);
}
}
/**
* @param primaryGridDataIntegrityParam
* @Description: 主网终端数据完整率月统计只做月统计，且重mysql查数据不分数据源
* @Param: [primaryGridDataIntegrityParam]
* @return: void
* @Author: clam
* @Date: 2022/11/30
*/
@Override
@Async
@SneakyThrows
public void primaryGridDataIntegrityHanlder(PrimaryGridDataIntegrityParam primaryGridDataIntegrityParam) {
List<String> deviceIds = primaryGridDataIntegrityParam.getDeviceId();
String dataDate = primaryGridDataIntegrityParam.getDataDate();
List<RMpDevEvaluateDetailPO> rMpDevEvaluateDetailPOList = new ArrayList<>();
deviceIds.forEach(deviceId -> {
double dev_data_rate = 0.00;
/*获取终端下的监测点集合*/
QueryWrapper<Monitor> queryWrapper = new QueryWrapper<>();
String state = redisUtil.getStringByKey(NAME_KEY +
StrUtil.DASHED + DicDataTypeEnum.LINE_STATE.getCode() +
StrUtil.DASHED + DicDataEnum.RUN.getCode());
if (StringUtils.isEmpty(state)) {
throw new BusinessException(PqsPrepareExceptionEnum.REDIS_NULL_EXCEPTION);
}
queryWrapper.lambda().eq(Monitor::getTerminalId, deviceId).
eq(Monitor::getMonitorState, state);
List<Monitor> list = pmsMonitorPOService.list(queryWrapper);
List<String> mysqlIndexList = list.stream().map(Monitor::getId).collect(Collectors.toList());
/*获取检测点的月平均数据完整率*/
List<MonitorDataIntegrityDTO> monitorDataIntegrityDTOList = rMpIntegrityDPOService.calculateMouthDataIntegrity(mysqlIndexList, dataDate);
/*求平均值*/
if (!CollectionUtils.isEmpty(monitorDataIntegrityDTOList)) {
dev_data_rate = monitorDataIntegrityDTOList.stream().mapToDouble(monitorDataIntegrityDTO -> {
return monitorDataIntegrityDTO.getDataIntegrity().doubleValue();
}).average().getAsDouble();
}
RMpDevEvaluateDetailPO rMpDevEvaluateDetailPO = new RMpDevEvaluateDetailPO();
rMpDevEvaluateDetailPO.setDeviceId(deviceId);
rMpDevEvaluateDetailPO.setDataDate(LocalDateTimeUtil.parseDate(dataDate, DatePattern.NORM_DATE_FORMATTER));
rMpDevEvaluateDetailPO.setDevDataRate(dev_data_rate);
rMpDevEvaluateDetailPOList.add(rMpDevEvaluateDetailPO);
});
rMpDevEvaluateDetailPOService.saveOrUpdateBatchByMultiId(rMpDevEvaluateDetailPOList, 500);
}
/**
* @Description: 处理influxdb数据 todo 本次不做处理
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
private void hanlderInfludxbData(PrimaryGridParam primaryGridParam) {
Integer type = primaryGridParam.getType();
/*月表，季表，年表都是重日表生成，不区分oralce，influxdb*/
switch (type) {
case 1:
this.hanlderOracleYear(primaryGridParam);
break;
case 2:
this.hanlderOracleQtr(primaryGridParam);
break;
case 3:
this.hanlderOracleMonth(primaryGridParam);
break;
case 5:
this.hanlderInfluxdbDay(primaryGridParam);
break;
default:
break;
}
}
@SneakyThrows
private void hanlderInfluxdbDay(PrimaryGridParam primaryGridParam) {
List<String> orgIdList = primaryGridParam.getOrgIdList();
String dataDate = primaryGridParam.getDataDate();
List<ROperatingIndexDPO> rOperatingIndexDPOList = new ArrayList<>();
final Date tempDate = new SimpleDateFormat("yyyy-MM-dd").parse(dataDate);
orgIdList.forEach(orgid -> {
/*measurement_run_points:在运监测点个数*/
//获取终端信息，和包含的终端下监测点
List<LineDevGetDTO> runTerminalAndLine = pmsTerminalPOService.getRunTerminalAndLine(orgid);
//终端数量
Integer online_measurement_points = runTerminalAndLine.size();
/*在运监测终端个数 online_measurement_count*/
Long online_measurement_count = runTerminalAndLine.stream().filter(x -> x.getComFlag() == 1).collect(Collectors.counting());
/*监测终端数量 online_measurement_points*/
List<String> runMonitor = runTerminalAndLine.stream().flatMap(x -> x.getMonitorIds().stream()).collect(Collectors.toList());
// List<String> runMonitor = pmsMonitorPOService.getRunMonitor(orgid);
Integer measurement_run_points = runMonitor.size();
/*主网单位在线监测点数 transit_measurement_points*/
Integer transit_measurement_points = dataVInfluxdbService.queryTransitMeasurementPoints(runMonitor, primaryGridParam.getDataDate(), "A");
/*主网单位有效接入监测点个数 effective_access_measurement_count*/
Integer effective_access_measurement_count = this.queryEffectiveAccessMeasurementCount(runMonitor, primaryGridParam.getDataDate());
// List<PmsTerminalPO> pmsTerminalPOS = pmsTerminalPOService.queryOnlineMeasurementPoints(orgid);
/*主网单位数据完整率 data_integrity_rate*/
double data_integrity_rate = 0.00;
List<MonitorDataIntegrityDTO> monitorDataIntegrityDTOList = rMpIntegrityDPOService.calculateDataIntegrity(runMonitor, dataDate);
/*求平均值*/
if (!CollectionUtils.isEmpty(monitorDataIntegrityDTOList)) {
data_integrity_rate = monitorDataIntegrityDTOList.stream().mapToDouble(temp -> {
return temp.getDataIntegrity().doubleValue();
}).average().getAsDouble();
}
/*主网单位数据异常监测点数日统计 is_unusual*/
Integer is_unusual = this.queryIsUnusualCount(runMonitor, primaryGridParam.getDataDate());
ROperatingIndexDPO rOperatingIndexDPO = new ROperatingIndexDPO();
rOperatingIndexDPO.setOrgNo(orgid);
rOperatingIndexDPO.setDataDate(LocalDate.parse(primaryGridParam.getDataDate()));
rOperatingIndexDPO.setMeasurementRunPoints(measurement_run_points);
rOperatingIndexDPO.setTransitMeasurementPoints(transit_measurement_points);
rOperatingIndexDPO.setEffectiveAccessMeasurementCount(effective_access_measurement_count);
rOperatingIndexDPO.setOnlineMeasurementPoints(online_measurement_points);
rOperatingIndexDPO.setOnlineMeasurementCount(Math.toIntExact(online_measurement_count));
rOperatingIndexDPO.setDataIntegrityRate(data_integrity_rate);
rOperatingIndexDPO.setIsUnusual(is_unusual > 0 ? 1 : 0);
rOperatingIndexDPOList.add(rOperatingIndexDPO);
});
if (!CollectionUtils.isEmpty(rOperatingIndexDPOList)) {
rOperatingIndexDPOService.saveOrUpdateBatchByMultiId(rOperatingIndexDPOList, 30);
}
}
/**
* @Description: 处理Oracle数据
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
private void hanlderOracleData(PrimaryGridParam primaryGridParam) {
Integer type = primaryGridParam.getType();
switch (type) {
case 1:
this.hanlderOracleYear(primaryGridParam);
break;
case 2:
this.hanlderOracleQtr(primaryGridParam);
break;
case 3:
this.hanlderOracleMonth(primaryGridParam);
break;
case 5:
this.hanlderOracleDay(primaryGridParam);
break;
default:
break;
}
}
/**
* @Description: hanlderOracleMonth
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
@SneakyThrows
private void hanlderOracleMonth(PrimaryGridParam primaryGridParam) {
List<String> orgIdList = primaryGridParam.getOrgIdList();
String beginTime = primaryGridParam.getBeginTime();
String endTime = primaryGridParam.getEndTime();
List<ROperatingIndexMPO> rOperatingIndexMPOList = new ArrayList<>();
orgIdList.forEach(orgid -> {
/*查询day表数据生成月表数据*/
List<ROperatingIndexDPO> list = rOperatingIndexDPOService.queryOneMothData(orgid, beginTime,endTime);
/*求平均值*/
int measurement_run_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getMeasurementRunPoints()).
average().
getAsDouble());
int transit_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getTransitMeasurementPoints()).
average().
getAsDouble());
int effective_access_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getEffectiveAccessMeasurementCount()).
average().
getAsDouble());
int online_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementPoints()).
average().
getAsDouble());
int online_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementCount()).
average().
getAsDouble());
/*double保留2位小数*/
Double data_integrity_rate = Math.round(list.stream().
mapToDouble(temp -> temp.getDataIntegrityRate()).
average().
getAsDouble() * 100) * 0.01;
/*看day表is_unusual时候存在1存在返回1，数据否异常(0:正常 1:异常)*/
Integer is_unusual = list.stream().
map(ROperatingIndexDPO::getIsUnusual).
collect(Collectors.toList())
.contains(1) ? 1 : 0;
ROperatingIndexMPO rOperatingIndexMPO = new ROperatingIndexMPO();
rOperatingIndexMPO.setOrgNo(orgid);
rOperatingIndexMPO.setDataDate(LocalDate.parse(primaryGridParam.getDataDate()));
rOperatingIndexMPO.setMeasurementRunPoints(measurement_run_points);
rOperatingIndexMPO.setTransitMeasurementPoints(transit_measurement_points);
rOperatingIndexMPO.setEffectiveAccessMeasurementCount(effective_access_measurement_count);
rOperatingIndexMPO.setOnlineMeasurementPoints(online_measurement_points);
rOperatingIndexMPO.setOnlineMeasurementCount(online_measurement_count);
rOperatingIndexMPO.setDataIntegrityRate(data_integrity_rate);
rOperatingIndexMPO.setIsUnusual(is_unusual);
rOperatingIndexMPOList.add(rOperatingIndexMPO);
});
if (!CollectionUtils.isEmpty(rOperatingIndexMPOList)) {
rOperatingIndexMPOService.saveOrUpdateBatchByMultiId(rOperatingIndexMPOList, 30);
}
}
/**
* @Description: hanlderOracleDay
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
@SneakyThrows
private void hanlderOracleDay(PrimaryGridParam primaryGridParam) {
List<String> orgIdList = primaryGridParam.getOrgIdList();
String dataDate = primaryGridParam.getDataDate();
List<ROperatingIndexDPO> rOperatingIndexDPOList = new ArrayList<>();
final Date tempDate = new SimpleDateFormat("yyyy-MM-dd").parse(dataDate);
orgIdList.forEach(orgid -> {
/*measurement_run_points:在运监测点个数*/
List<Monitor> pmsMonitorPOS = pmsMonitorPOService.qurymeasurementRunPoints(orgid);
Integer measurement_run_points = pmsMonitorPOS.size();
/*获取mysql与Oracle监测点id对应关系*/
List<String> mysqlIndexList = pmsMonitorPOS.stream().map(Monitor::getId).collect(Collectors.toList());
List<PqLinedetailPO> pqLinedetailPOS = pqLinedetailPOService.queryOracleIndexIdByMysqlIndexId(mysqlIndexList);
List<Integer> oracleIndexlist = pqLinedetailPOS.stream().map(PqLinedetailPO::getLineIndex).collect(Collectors.toList());
/*主网单位在线监测点数 transit_measurement_points*/
Integer transit_measurement_points = dataVOraclePOService.queryTransitMeasurementPoints(oracleIndexlist, primaryGridParam.getDataDate());
/*主网单位有效接入监测点个数 effective_access_measurement_count*/
Integer effective_access_measurement_count = this.queryEffectiveAccessMeasurementCount(mysqlIndexList, primaryGridParam.getDataDate());
/*监测终端数量 online_measurement_points*/
List<PmsTerminalPO> pmsTerminalPOS = pmsTerminalPOService.queryOnlineMeasurementPoints(orgid);
Integer online_measurement_points = pmsTerminalPOS.size();
/*在运监测终端个数 online_measurement_count*/
String state = redisUtil.getStringByKey(NAME_KEY +
StrUtil.DASHED + DicDataTypeEnum.DEV_STATUS.getCode() +
StrUtil.DASHED + DicDataEnum.RUNNING.getCode());
Integer online_measurement_count = Integer.valueOf(pmsTerminalPOS.stream().filter(temp -> Objects.equals(temp.getTerminalState(), state)).count() + "");
/*主网单位数据完整率 data_integrity_rate*/
double data_integrity_rate = 0.00;
List<MonitorDataIntegrityDTO> monitorDataIntegrityDTOList = rMpIntegrityDPOService.calculateDataIntegrity(mysqlIndexList, dataDate);
/*求平均值*/
if (!CollectionUtils.isEmpty(monitorDataIntegrityDTOList)) {
data_integrity_rate = monitorDataIntegrityDTOList.stream().mapToDouble(temp -> {
return temp.getDataIntegrity().doubleValue();
}).average().getAsDouble();
}
/*主网单位数据异常监测点数日统计 is_unusual*/
Integer is_unusual = this.queryIsUnusualCount(mysqlIndexList, primaryGridParam.getDataDate());
ROperatingIndexDPO rOperatingIndexDPO = new ROperatingIndexDPO();
rOperatingIndexDPO.setOrgNo(orgid);
rOperatingIndexDPO.setDataDate(LocalDate.parse(primaryGridParam.getDataDate()));
rOperatingIndexDPO.setMeasurementRunPoints(measurement_run_points);
rOperatingIndexDPO.setTransitMeasurementPoints(transit_measurement_points);
rOperatingIndexDPO.setEffectiveAccessMeasurementCount(effective_access_measurement_count);
rOperatingIndexDPO.setOnlineMeasurementPoints(online_measurement_points);
rOperatingIndexDPO.setOnlineMeasurementCount(online_measurement_count);
rOperatingIndexDPO.setDataIntegrityRate(data_integrity_rate);
rOperatingIndexDPO.setIsUnusual(is_unusual > 0 ? 1 : 0);
rOperatingIndexDPOList.add(rOperatingIndexDPO);
});
if (!CollectionUtils.isEmpty(rOperatingIndexDPOList)) {
rOperatingIndexDPOService.saveOrUpdateBatchByMultiId(rOperatingIndexDPOList, 30);
}
}
/**
* @Description: queryIsUnusualCount :用监测点id在r_stat_abnormal_d表中查找value_alarm为0的监测点个数
* @Param: [mysqlIndexList, dataDate]
* @return: java.lang.Integer
* @Author: clam
* @Date: 2022/11/28
*/
private Integer queryIsUnusualCount(List<String> mysqlIndexList, String dataDate) {
if (CollectionUtils.isEmpty(mysqlIndexList)) {
return 0;
}
QueryWrapper<RStatAbnormalDPO> rStatAbnormalDPOLambdaQueryWrapper = new QueryWrapper();
rStatAbnormalDPOLambdaQueryWrapper.
in("measurement_point_id", mysqlIndexList).
eq("value_alarm", 0).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
Integer integer = rStatAbnormalDPOMapper.selectCount(rStatAbnormalDPOLambdaQueryWrapper);
return integer;
}
/**
* @Description: 主网单位有效接入监测点个数
* 1.获取pms_monitor表中监测点状态为投运的监测点id列表
* 2.根据id查询r_mp_integrity_d表中当天各项指标个数，采用以下公式计算数据完整率
* 3.〖数据完整率〗_日统计=(频率+相电压+线电压+畸变率+不平衡度)/(有效值数据个数*5)*100%
* 判定监测点数据完整率是否大于95%
* 4、根据id查询r_stat_abnormal_d表，value_alarm为1。
* 5、以上两个条件满足表明该监测点为有效监测点。
* 6、统计有效监测点个数
* @Param: [indexlist, dataDate]
* @return: java.lang.String
* @Author: clam
* @Date: 2022/11/25
*/
private Integer queryEffectiveAccessMeasurementCount(List<String> indexlist, String dataDate) {
/*获取监测点的数据完整性*/
List<MonitorDataIntegrityDTO> monitorDataIntegrityDTOList = rMpIntegrityDPOService.calculateDataIntegrity(indexlist, dataDate);
/*获取完整率>0.95的监测点id*/
List<String> collect = monitorDataIntegrityDTOList.stream().
filter(temp -> temp.getDataIntegrity().compareTo(new BigDecimal(0.95)) == 1
).map(MonitorDataIntegrityDTO::getId).collect(Collectors.toList());
/*获取完整率>0.95条件下value_alarm为1的监测点id*/
if (CollectionUtils.isEmpty(collect)) {
return 0;
}
QueryWrapper<RStatAbnormalDPO> rStatAbnormalDPOLambdaQueryWrapper = new QueryWrapper();
rStatAbnormalDPOLambdaQueryWrapper.select("measurement_point_id").
in("measurement_point_id", collect).
eq("value_alarm", 1).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
List<RStatAbnormalDPO> rStatAbnormalDPOS = rStatAbnormalDPOMapper.selectList(rStatAbnormalDPOLambdaQueryWrapper);
return rStatAbnormalDPOS.size();
}
/**
* @Description: hanlderOracleQtr
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
@SneakyThrows
private void hanlderOracleQtr(PrimaryGridParam primaryGridParam) {
List<String> orgIdList = primaryGridParam.getOrgIdList();
String beginTime = primaryGridParam.getBeginTime();
String endTime = primaryGridParam.getEndTime();
List<ROperatingIndexQPO> rOperatingIndexQPOList = new ArrayList<>();
orgIdList.forEach(orgid -> {
/*查询Mouth表数据生成季表数据*/
List<ROperatingIndexMPO> list = rOperatingIndexMPOService.queryOneQtrData(orgid, beginTime,endTime);
/*求平均值*/
int measurement_run_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getMeasurementRunPoints()).
average().
getAsDouble());
int transit_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getTransitMeasurementPoints()).
average().
getAsDouble());
int effective_access_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getEffectiveAccessMeasurementCount()).
average().
getAsDouble());
int online_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementPoints()).
average().
getAsDouble());
int online_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementCount()).
average().
getAsDouble());
/*double保留2位小数*/
Double data_integrity_rate = Math.round(list.stream().
mapToDouble(temp -> temp.getDataIntegrityRate()).
average().
getAsDouble() * 100) * 0.01;
/*看day表is_unusual时候存在1存在返回1，数据否异常(0:正常 1:异常)*/
Integer is_unusual = list.stream().
map(ROperatingIndexMPO::getIsUnusual).
collect(Collectors.toList())
.contains(1) ? 1 : 0;
ROperatingIndexQPO rOperatingIndexQPO = new ROperatingIndexQPO();
rOperatingIndexQPO.setOrgNo(orgid);
rOperatingIndexQPO.setDataDate(LocalDate.parse(primaryGridParam.getDataDate()));
rOperatingIndexQPO.setMeasurementRunPoints(measurement_run_points);
rOperatingIndexQPO.setTransitMeasurementPoints(transit_measurement_points);
rOperatingIndexQPO.setEffectiveAccessMeasurementCount(effective_access_measurement_count);
rOperatingIndexQPO.setOnlineMeasurementPoints(online_measurement_points);
rOperatingIndexQPO.setOnlineMeasurementCount(online_measurement_count);
rOperatingIndexQPO.setDataIntegrityRate(data_integrity_rate);
rOperatingIndexQPO.setIsUnusual(is_unusual);
rOperatingIndexQPOList.add(rOperatingIndexQPO);
});
if (!CollectionUtils.isEmpty(rOperatingIndexQPOList)) {
rOperatingIndexQPOService.saveOrUpdateBatchByMultiId(rOperatingIndexQPOList, 30);
}
}
/**
* @Description: hanlderOracleYear
* @Param: [primaryGridParam]
* @return: void
* @Author: clam
* @Date: 2022/11/25
*/
@SneakyThrows
private void hanlderOracleYear(PrimaryGridParam primaryGridParam) {
List<String> orgIdList = primaryGridParam.getOrgIdList();
String beginTime = primaryGridParam.getBeginTime();
String endTime = primaryGridParam.getEndTime();
List<ROperatingIndexYPO> rOperatingIndexYPOList = new ArrayList<>();
orgIdList.forEach(orgid -> {
/*查询Mouth表数据生成年表数据*/
List<ROperatingIndexMPO> list = rOperatingIndexMPOService.queryOneYearData(orgid, beginTime,endTime);
/*求平均值*/
int measurement_run_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getMeasurementRunPoints()).
average().
getAsDouble());
int transit_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getTransitMeasurementPoints()).
average().
getAsDouble());
int effective_access_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getEffectiveAccessMeasurementCount()).
average().
getAsDouble());
int online_measurement_points = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementPoints()).
average().
getAsDouble());
int online_measurement_count = (int) Math.round(list.stream().
mapToDouble(temp -> temp.getOnlineMeasurementCount()).
average().
getAsDouble());
/*double保留2位小数*/
Double data_integrity_rate = Math.round(list.stream().
mapToDouble(temp -> temp.getDataIntegrityRate()).
average().
getAsDouble() * 100) * 0.01;
/*看day表is_unusual时候存在1存在返回1，数据否异常(0:正常 1:异常)*/
Integer is_unusual = list.stream().
map(ROperatingIndexMPO::getIsUnusual).
collect(Collectors.toList())
.contains(1) ? 1 : 0;
ROperatingIndexYPO rOperatingIndexYPO = new ROperatingIndexYPO();
rOperatingIndexYPO.setOrgNo(orgid);
rOperatingIndexYPO.setDataDate(LocalDate.parse(primaryGridParam.getDataDate()));
rOperatingIndexYPO.setMeasurementRunPoints(measurement_run_points);
rOperatingIndexYPO.setTransitMeasurementPoints(transit_measurement_points);
rOperatingIndexYPO.setEffectiveAccessMeasurementCount(effective_access_measurement_count);
rOperatingIndexYPO.setOnlineMeasurementPoints(online_measurement_points);
rOperatingIndexYPO.setOnlineMeasurementCount(online_measurement_count);
rOperatingIndexYPO.setDataIntegrityRate(data_integrity_rate);
rOperatingIndexYPO.setIsUnusual(is_unusual);
rOperatingIndexYPOList.add(rOperatingIndexYPO);
});
if (!CollectionUtils.isEmpty(rOperatingIndexYPOList)) {
rOperatingIndexYPOService.saveOrUpdateBatchByMultiId(rOperatingIndexYPOList, 30);
}
}
}

8
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/Impl/line/HarmonicMetricServiceImpl.java
View File

@@ -2,7 +2,6 @@ package com.njcn.prepare.harmonic.service.mysql.Impl.line;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.DateUtil;
import cn.hutool.core.date.TimeInterval;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.pojo.exception.BusinessException;
@@ -17,22 +16,16 @@ import com.njcn.influx.pojo.po.DataV;
import com.njcn.influx.utils.InfluxDbUtils;
import com.njcn.prepare.harmonic.enums.PrepareResponseEnum;
import com.njcn.prepare.harmonic.mapper.mysql.day.*;
import com.njcn.prepare.harmonic.mapper.mysql.line.AbnormalMapper;
import com.njcn.prepare.harmonic.pojo.bo.CalculatedParam;
import com.njcn.prepare.harmonic.pojo.mysql.po.line.MpSurplusAbnormalD;
import com.njcn.prepare.harmonic.pojo.param.LineParam;
import com.njcn.prepare.harmonic.service.mysql.line.HarmonicMetricService;
import com.njcn.prepare.harmonic.service.mysql.line.NormalLimitService;
import com.njcn.user.api.DeptFeignClient;
import com.njcn.user.pojo.po.Dept;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.influxdb.InfluxDB;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.influxdb.dto.QueryResult;
import org.influxdb.impl.InfluxDBResultMapper;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
@@ -40,7 +33,6 @@ import java.math.BigDecimal;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import java.util.stream.Collectors;

523
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/Impl/line/NormalLimitServiceImpl.java
View File

@@ -1,34 +1,13 @@
package com.njcn.prepare.harmonic.service.mysql.Impl.line;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.TimeInterval;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.device.pq.api.GeneralDeviceInfoClient;
import com.njcn.device.pq.api.OverLimitClient;
import com.njcn.harmonic.pojo.po.day.*;
import com.njcn.influx.deprecated.InfluxDBPublicParam;
import com.njcn.prepare.harmonic.mapper.mysql.day.*;
import com.njcn.prepare.harmonic.mapper.mysql.line.AbnormalMapper;
import com.njcn.prepare.harmonic.pojo.mysql.po.line.MpSurplusAbnormalD;
import com.njcn.prepare.harmonic.pojo.param.LineParam;
import com.njcn.prepare.harmonic.service.mysql.line.NormalLimitService;
import com.njcn.user.api.DeptFeignClient;
import com.njcn.user.pojo.po.Dept;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import java.math.BigDecimal;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;
/**
* @author denghuajun
@@ -41,509 +20,7 @@ import java.util.stream.Collectors;
@Slf4j
public class NormalLimitServiceImpl extends MppServiceImpl<AbnormalMapper, MpSurplusAbnormalD> implements NormalLimitService {
private final GeneralDeviceInfoClient generalDeviceInfoClient;
private final DeptFeignClient deptFeignClient;
private final OverLimitClient overLimitClient;
private final RStatDataHarmRateVDMapper rStatDataHarmRateVDMapper;
private final RStatDataInHarmVDMapper rStatDataInHarmVDMapper;
private final RStatDataVDMapper rStatDataVDMapper;
private final RStatDataIDMapper rStatDataIDMapper;
private final RStatDataPltDMapper rStatDataPltDMapper;
@Override
//@Async("asyncExecutor")
public Boolean abnormalLineData(LineParam lineParam) {
TimeInterval timeInterval = new TimeInterval();
List<String> lineIds = new ArrayList<>();
List<MpSurplusAbnormalD> all = new ArrayList<>();
if (CollectionUtils.isEmpty(lineParam.getLineIds())) {
Dept dept = deptFeignClient.getRootDept().getData();
lineIds = generalDeviceInfoClient.deptGetRunLine(dept.getId()).getData();
} else {
//不为空则为补招
lineIds = lineParam.getLineIds();
}
if (CollUtil.isNotEmpty(lineIds)) {
List<Map<String, Object>> overLimitMap = overLimitClient.getLimitMapsByLineIds(lineIds).getData();
Map<String, Map<String, Object>> ovMap = overLimitMap.stream().collect(Collectors.toMap(item -> item.get("id").toString(), Function.identity()));
for (String lineIndex : lineIds) {
Boolean flag = false;
//获取当前监测点的限值详情
if (!ovMap.containsKey(lineIndex)) {
log.error(LocalDateTime.now() + "--监测点<" + lineIndex + ">不存在限值！");
return false;
}
Map<String, Object> overLimit = ovMap.get(lineIndex);
//谐波电压
LambdaQueryWrapper<RStatDataHarmrateVDPO> lambdaQueryV = new LambdaQueryWrapper<>();
lambdaQueryV.eq(RStatDataHarmrateVDPO::getLineId, lineIndex).eq(RStatDataHarmrateVDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<Map<String, Object>> harmVMap = rStatDataHarmRateVDMapper.selectMaps(lambdaQueryV);
Map<String, List<Map<String, Object>>> tenMap = harmVMap.stream().collect(Collectors.groupingBy(item -> item.get("phaseType").toString()));
//谐波电流幅值
LambdaQueryWrapper<RStatDataIDPO> lambdaQueryI = new LambdaQueryWrapper<>();
lambdaQueryI.eq(RStatDataIDPO::getLineId, lineIndex).eq(RStatDataIDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<Map<String, Object>> harmIMap = rStatDataIDMapper.selectMaps(lambdaQueryI);
Map<String, List<Map<String, Object>>> iMap = harmIMap.stream().collect(Collectors.groupingBy(item -> item.get("phaseType").toString()));
//间谐波电压
LambdaQueryWrapper<RStatDataInharmVDPO> lambdaQueryInV = new LambdaQueryWrapper<>();
lambdaQueryInV.eq(RStatDataInharmVDPO::getLineId, lineIndex).eq(RStatDataInharmVDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<Map<String, Object>> harmInVMap = rStatDataInHarmVDMapper.selectMaps(lambdaQueryInV);
Map<String, List<Map<String, Object>>> inMap = harmInVMap.stream().collect(Collectors.groupingBy(item -> item.get("phaseType").toString()));
//三相电压
LambdaQueryWrapper<RStatDataVDPO> lambdaQueryDataV = new LambdaQueryWrapper<>();
lambdaQueryDataV.eq(RStatDataVDPO::getLineId, lineIndex).eq(RStatDataVDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<RStatDataVDPO> rStatDataVDPOList = rStatDataVDMapper.selectList(lambdaQueryDataV);
Map<String, List<RStatDataVDPO>> dataVMap = rStatDataVDPOList.stream().collect(Collectors.groupingBy(RStatDataVDPO::getPhaseType));
//电流
LambdaQueryWrapper<RStatDataIDPO> lambdaQueryDataI = new LambdaQueryWrapper<>();
lambdaQueryDataI.eq(RStatDataIDPO::getLineId, lineIndex).eq(RStatDataIDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<RStatDataIDPO> rStatDataIDPOList = rStatDataIDMapper.selectList(lambdaQueryDataI);
Map<String, List<RStatDataIDPO>> dataIMap = rStatDataIDPOList.stream().collect(Collectors.groupingBy(RStatDataIDPO::getPhaseType));
//长时闪变
LambdaQueryWrapper<RStatDataPltDPO> lambdaQueryDataPlt = new LambdaQueryWrapper<>();
lambdaQueryDataPlt.eq(RStatDataPltDPO::getLineId, lineIndex).eq(RStatDataPltDPO::getTime, lineParam.getDataDate() + InfluxDBPublicParam.START_TIME);
List<RStatDataPltDPO> rStatDataPltDPOList = rStatDataPltDMapper.selectList(lambdaQueryDataPlt);
Map<String, List<RStatDataPltDPO>> dataPltMap = rStatDataPltDPOList.stream().collect(Collectors.groupingBy(RStatDataPltDPO::getPhaseType));
String phasic = "";
for (int phase = 1; phase < 5; phase++) {
switch (phase) {
case 1:
phasic = "A";
break;
case 2:
phasic = "B";
break;
case 3:
phasic = "C";
break;
case 4:
phasic = "T";
break;
}
MpSurplusAbnormalD mpSurplusAbnormalCp95 = new MpSurplusAbnormalD();
mpSurplusAbnormalCp95.setPhasicType(phasic);
mpSurplusAbnormalCp95.setValueType("CP95");
mpSurplusAbnormalCp95.setLineId(lineIndex);
mpSurplusAbnormalCp95.setTimeId(LocalDateTime.parse(lineParam.getDataDate() + InfluxDBPublicParam.START_TIME, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
MpSurplusAbnormalD mpSurplusAbnormalAvg = new MpSurplusAbnormalD();
mpSurplusAbnormalAvg.setPhasicType(phasic);
mpSurplusAbnormalAvg.setValueType("AVG");
mpSurplusAbnormalAvg.setLineId(lineIndex);
mpSurplusAbnormalAvg.setTimeId(LocalDateTime.parse(lineParam.getDataDate() + InfluxDBPublicParam.START_TIME, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
MpSurplusAbnormalD mpSurplusAbnormalMax = new MpSurplusAbnormalD();
mpSurplusAbnormalMax.setPhasicType(phasic);
mpSurplusAbnormalMax.setValueType("MAX");
mpSurplusAbnormalMax.setLineId(lineIndex);
mpSurplusAbnormalMax.setTimeId(LocalDateTime.parse(lineParam.getDataDate() + InfluxDBPublicParam.START_TIME, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
MpSurplusAbnormalD mpSurplusAbnormalMin = new MpSurplusAbnormalD();
mpSurplusAbnormalMin.setPhasicType(phasic);
mpSurplusAbnormalMin.setValueType("MIN");
mpSurplusAbnormalMin.setLineId(lineIndex);
mpSurplusAbnormalMin.setTimeId(LocalDateTime.parse(lineParam.getDataDate() + InfluxDBPublicParam.START_TIME, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
if (dataVMap.containsKey(phasic)) {
List<RStatDataVDPO> mapList = dataVMap.get(phasic);
Map<String, RStatDataVDPO> vMap = mapList.stream().collect(Collectors.toMap(RStatDataVDPO::getValueType, Function.identity()));
//三项电压不平衡度
if (vMap.get("CP95").getVUnbalance() > (Double) overLimit.get("ubalance")) {
mpSurplusAbnormalCp95.setUbalance(vMap.get("CP95").getVUnbalance().floatValue());
mpSurplusAbnormalAvg.setUbalance(vMap.get("AVG").getVUnbalance().floatValue());
mpSurplusAbnormalMin.setUbalance(vMap.get("MIN").getVUnbalance().floatValue());
mpSurplusAbnormalMax.setUbalance(vMap.get("MAX").getVUnbalance().floatValue());
flag = true;
}
//电压畸变
if (vMap.get("CP95").getVThd() > (Double) overLimit.get("uaberrance")) {
mpSurplusAbnormalCp95.setUaberrance(vMap.get("CP95").getVThd().floatValue());
mpSurplusAbnormalAvg.setUaberrance(vMap.get("AVG").getVThd().floatValue());
mpSurplusAbnormalMin.setUaberrance(vMap.get("MIN").getVThd().floatValue());
mpSurplusAbnormalMax.setUaberrance(vMap.get("MAX").getVThd().floatValue());
flag = true;
}
//频率偏差
if (Math.abs(vMap.get("MAX").getFreqDev()) > (Double) overLimit.get("freq_dev") || Math.abs(vMap.get("MIN").getFreqDev()) > (Double) overLimit.get("freq_dev")) {
mpSurplusAbnormalCp95.setFreq(vMap.get("CP95").getFreqDev().floatValue());
mpSurplusAbnormalAvg.setFreq(vMap.get("AVG").getFreqDev().floatValue());
mpSurplusAbnormalMin.setFreq(vMap.get("MIN").getFreqDev().floatValue());
mpSurplusAbnormalMax.setFreq(vMap.get("MAX").getFreqDev().floatValue());
flag = true;
}
//电压上偏差
if (Math.abs(vMap.get("MAX").getVlDev()) > (Double) overLimit.get("voltage_dev")) {
mpSurplusAbnormalCp95.setVoltageDev(vMap.get("CP95").getVlDev().floatValue());
mpSurplusAbnormalAvg.setVoltageDev(vMap.get("AVG").getVlDev().floatValue());
mpSurplusAbnormalMin.setVoltageDev(vMap.get("MIN").getVlDev().floatValue());
mpSurplusAbnormalMax.setVoltageDev(vMap.get("MAX").getVlDev().floatValue());
flag = true;
}
}
//负序电流
if (dataIMap.containsKey(phasic)) {
List<RStatDataIDPO> mapList = dataIMap.get(phasic);
Map<String, RStatDataIDPO> inegMap = mapList.stream().collect(Collectors.toMap(RStatDataIDPO::getValueType, Function.identity()));
if (inegMap.get("CP95").getINeg() > (Double) overLimit.get("i_neg")) {
mpSurplusAbnormalCp95.setINeg(inegMap.get("CP95").getINeg().floatValue());
mpSurplusAbnormalAvg.setINeg(inegMap.get("AVG").getINeg().floatValue());
mpSurplusAbnormalMin.setINeg(inegMap.get("MIN").getINeg().floatValue());
mpSurplusAbnormalMax.setINeg(inegMap.get("MAX").getINeg().floatValue());
flag = true;
}
}
//长时闪变
if (dataPltMap.containsKey(phasic)) {
List<RStatDataPltDPO> mapList = dataPltMap.get(phasic);
Map<String, RStatDataPltDPO> pltMap = mapList.stream().collect(Collectors.toMap(RStatDataPltDPO::getValueType, Function.identity()));
if (pltMap.get("MAX").getPlt() > (Double) overLimit.get("flicker")) {
mpSurplusAbnormalCp95.setFlicker(pltMap.get("CP95").getPlt().floatValue());
mpSurplusAbnormalAvg.setFlicker(pltMap.get("AVG").getPlt().floatValue());
mpSurplusAbnormalMin.setFlicker(pltMap.get("MIN").getPlt().floatValue());
mpSurplusAbnormalMax.setFlicker(pltMap.get("MAX").getPlt().floatValue());
flag = true;
}
}
//谐波电压
dealData(tenMap,phasic,overLimit,flag,mpSurplusAbnormalCp95,mpSurplusAbnormalAvg,mpSurplusAbnormalMax,mpSurplusAbnormalMin,2,26,1,"uharm_","v_");
//谐波电流
dealData(iMap,phasic,overLimit,flag,mpSurplusAbnormalCp95,mpSurplusAbnormalAvg,mpSurplusAbnormalMax,mpSurplusAbnormalMin,2,26,2,"iharm_","i_");
//间谐波电压
dealData(inMap,phasic,overLimit,flag,mpSurplusAbnormalCp95,mpSurplusAbnormalAvg,mpSurplusAbnormalMax,mpSurplusAbnormalMin,1,17,3,"inuharm_","v_");
if(flag){
all.add(mpSurplusAbnormalCp95);
all.add(mpSurplusAbnormalAvg);
all.add(mpSurplusAbnormalMax);
all.add(mpSurplusAbnormalMin);
}
}
}
}
if (CollUtil.isNotEmpty(all)) {
//入库操作
this.saveBatch(all,1000);
}
log.info("运行时长："+timeInterval.intervalSecond());
return true;
}
/**
* type 1.谐波电压含有率 2.谐波电流幅值 其他.间谐波电流
*
* @author cdf
* @date 2023/8/22
*/
private void assPojo(Map<String, Object> map, MpSurplusAbnormalD mpSurplusAbnormalD, Integer type) {
if (type == 1) {
//谐波电压
map.forEach((key, val) -> {
switch (key) {
case "v_2":
mpSurplusAbnormalD.setUharm2(Float.parseFloat(val.toString()));
break;
case "v_3":
mpSurplusAbnormalD.setUharm3(Float.parseFloat(val.toString()));
break;
case "v_4":
mpSurplusAbnormalD.setUharm4(Float.parseFloat(val.toString()));
break;
case "v_5":
mpSurplusAbnormalD.setUharm5(Float.parseFloat(val.toString()));
break;
case "v_6":
mpSurplusAbnormalD.setUharm6(Float.parseFloat(val.toString()));
break;
case "v_7":
mpSurplusAbnormalD.setUharm7(Float.parseFloat(val.toString()));
break;
case "v_8":
mpSurplusAbnormalD.setUharm8(Float.parseFloat(val.toString()));
break;
case "v_9":
mpSurplusAbnormalD.setUharm9(Float.parseFloat(val.toString()));
break;
case "v_10":
mpSurplusAbnormalD.setUharm10(Float.parseFloat(val.toString()));
break;
case "v_11":
mpSurplusAbnormalD.setUharm11(Float.parseFloat(val.toString()));
break;
case "v_12":
mpSurplusAbnormalD.setUharm12(Float.parseFloat(val.toString()));
break;
case "v_13":
mpSurplusAbnormalD.setUharm13(Float.parseFloat(val.toString()));
break;
case "v_14":
mpSurplusAbnormalD.setUharm14(Float.parseFloat(val.toString()));
break;
case "v_15":
mpSurplusAbnormalD.setUharm15(Float.parseFloat(val.toString()));
break;
case "v_16":
mpSurplusAbnormalD.setUharm16(Float.parseFloat(val.toString()));
break;
case "v_17":
mpSurplusAbnormalD.setUharm17(Float.parseFloat(val.toString()));
break;
case "v_18":
mpSurplusAbnormalD.setUharm18(Float.parseFloat(val.toString()));
break;
case "v_19":
mpSurplusAbnormalD.setUharm19(Float.parseFloat(val.toString()));
break;
case "v_20":
mpSurplusAbnormalD.setUharm20(Float.parseFloat(val.toString()));
break;
case "v_21":
mpSurplusAbnormalD.setUharm21(Float.parseFloat(val.toString()));
break;
case "v_22":
mpSurplusAbnormalD.setUharm22(Float.parseFloat(val.toString()));
break;
case "v_23":
mpSurplusAbnormalD.setUharm23(Float.parseFloat(val.toString()));
break;
case "v_24":
mpSurplusAbnormalD.setUharm24(Float.parseFloat(val.toString()));
break;
case "v_25":
mpSurplusAbnormalD.setUharm25(Float.parseFloat(val.toString()));
break;
case "time":
break;
default:
throw new IllegalStateException("Unexpected value: " + key);
}
});
} else if (type == 2) {
//谐波电流
map.forEach((key, val) -> {
switch (key) {
case "i_2":
mpSurplusAbnormalD.setIharm2(Float.parseFloat(val.toString()));
break;
case "i_3":
mpSurplusAbnormalD.setIharm3(Float.parseFloat(val.toString()));
break;
case "i_4":
mpSurplusAbnormalD.setIharm4(Float.parseFloat(val.toString()));
break;
case "i_5":
mpSurplusAbnormalD.setIharm5(Float.parseFloat(val.toString()));
break;
case "i_6":
mpSurplusAbnormalD.setIharm6(Float.parseFloat(val.toString()));
break;
case "i_7":
mpSurplusAbnormalD.setIharm7(Float.parseFloat(val.toString()));
break;
case "i_8":
mpSurplusAbnormalD.setIharm8(Float.parseFloat(val.toString()));
break;
case "i_9":
mpSurplusAbnormalD.setIharm9(Float.parseFloat(val.toString()));
break;
case "i_10":
mpSurplusAbnormalD.setIharm10(Float.parseFloat(val.toString()));
break;
case "i_11":
mpSurplusAbnormalD.setIharm11(Float.parseFloat(val.toString()));
break;
case "i_12":
mpSurplusAbnormalD.setIharm12(Float.parseFloat(val.toString()));
break;
case "i_13":
mpSurplusAbnormalD.setIharm13(Float.parseFloat(val.toString()));
break;
case "i_14":
mpSurplusAbnormalD.setIharm14(Float.parseFloat(val.toString()));
break;
case "i_15":
mpSurplusAbnormalD.setIharm15(Float.parseFloat(val.toString()));
break;
case "i_16":
mpSurplusAbnormalD.setIharm16(Float.parseFloat(val.toString()));
break;
case "i_17":
mpSurplusAbnormalD.setIharm17(Float.parseFloat(val.toString()));
break;
case "i_18":
mpSurplusAbnormalD.setIharm18(Float.parseFloat(val.toString()));
break;
case "i_19":
mpSurplusAbnormalD.setIharm19(Float.parseFloat(val.toString()));
break;
case "i_20":
mpSurplusAbnormalD.setIharm20(Float.parseFloat(val.toString()));
break;
case "i_21":
mpSurplusAbnormalD.setIharm21(Float.parseFloat(val.toString()));
break;
case "i_22":
mpSurplusAbnormalD.setIharm22(Float.parseFloat(val.toString()));
break;
case "i_23":
mpSurplusAbnormalD.setIharm23(Float.parseFloat(val.toString()));
break;
case "i_24":
mpSurplusAbnormalD.setIharm24(Float.parseFloat(val.toString()));
break;
case "i_25":
mpSurplusAbnormalD.setIharm25(Float.parseFloat(val.toString()));
break;
case "time":
break;
default:
throw new IllegalStateException("Unexpected value: " + key);
}
});
} else {
//间谐波电压
map.forEach((key, val) -> {
switch (key) {
case "v_1":
mpSurplusAbnormalD.setInuharm1(Float.parseFloat(val.toString()));
break;
case "v_2":
mpSurplusAbnormalD.setInuharm2(Float.parseFloat(val.toString()));
break;
case "v_3":
mpSurplusAbnormalD.setInuharm3(Float.parseFloat(val.toString()));
break;
case "v_4":
mpSurplusAbnormalD.setInuharm4(Float.parseFloat(val.toString()));
break;
case "v_5":
mpSurplusAbnormalD.setInuharm5(Float.parseFloat(val.toString()));
break;
case "v_6":
mpSurplusAbnormalD.setInuharm6(Float.parseFloat(val.toString()));
break;
case "v_7":
mpSurplusAbnormalD.setInuharm7(Float.parseFloat(val.toString()));
break;
case "v_8":
mpSurplusAbnormalD.setInuharm8(Float.parseFloat(val.toString()));
break;
case "v_9":
mpSurplusAbnormalD.setInuharm9(Float.parseFloat(val.toString()));
break;
case "v_10":
mpSurplusAbnormalD.setInuharm10(Float.parseFloat(val.toString()));
break;
case "v_11":
mpSurplusAbnormalD.setInuharm11(Float.parseFloat(val.toString()));
break;
case "v_12":
mpSurplusAbnormalD.setInuharm12(Float.parseFloat(val.toString()));
break;
case "v_13":
mpSurplusAbnormalD.setInuharm13(Float.parseFloat(val.toString()));
break;
case "v_14":
mpSurplusAbnormalD.setInuharm14(Float.parseFloat(val.toString()));
break;
case "v_15":
mpSurplusAbnormalD.setInuharm15(Float.parseFloat(val.toString()));
break;
case "v_16":
mpSurplusAbnormalD.setInuharm16(Float.parseFloat(val.toString()));
break;
case "time":
break;
default:
throw new IllegalStateException("Unexpected value: " + key);
}
});
}
}
/**
*
* @author cdf
* @date 2023/8/23
*/
private void dealData(Map<String, List<Map<String, Object>>> inMap,
String phasic,Map<String, Object> overLimit,
Boolean flag,MpSurplusAbnormalD mpSurplusAbnormalCp95,MpSurplusAbnormalD mpSurplusAbnormalAvg,MpSurplusAbnormalD mpSurplusAbnormalMax,MpSurplusAbnormalD mpSurplusAbnormalMin
,int start,int count,int type,String overTag,String temTag){
if (inMap.containsKey(phasic)) {
List<Map<String, Object>> mapList = inMap.get(phasic);
Map<String, Map<String, Object>> harmMap = mapList.stream().collect(Collectors.toMap(item -> item.get("value_type").toString(), Function.identity()));
Map<String, Object> mCP95 = harmMap.get("CP95");
Map<String, Object> mAVG = harmMap.get("AVG");
Map<String, Object> mMAX = harmMap.get("MAX");
Map<String, Object> mMIN = harmMap.get("MIN");
Map<String, Object> moreValueCp95 = new HashMap<>();
Map<String, Object> moreValueAvg = new HashMap<>();
Map<String, Object> moreValueMax = new HashMap<>();
Map<String, Object> moreValueMin = new HashMap<>();
for (int i = start; i < count; i++) {
BigDecimal hv = (BigDecimal) mCP95.get(temTag + i);
String t = overTag + i;
BigDecimal over = BigDecimal.valueOf((Double) overLimit.get(t));
if (hv.compareTo(over) > 0) {
moreValueCp95.put(temTag + i, hv.floatValue());
moreValueAvg.put(temTag + i, mAVG.get(temTag + i));
moreValueMax.put(temTag + i, mMAX.get(temTag + i));
moreValueMin.put(temTag + i, mMIN.get(temTag + i));
}
}
if (moreValueCp95.size() > 0) {
flag = true;
assPojo(moreValueCp95, mpSurplusAbnormalCp95, type);
assPojo(moreValueAvg, mpSurplusAbnormalAvg, type);
assPojo(moreValueMax, mpSurplusAbnormalMax, type);
assPojo(moreValueMin, mpSurplusAbnormalMin, type);
}
}
}
}

27
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/area/PrimaryGridDataService.java
View File

@@ -1,27 +0,0 @@
package com.njcn.prepare.harmonic.service.mysql.area;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridDataIntegrityParam;
import com.njcn.prepare.harmonic.pojo.param.PrimaryGridParam;
/**
* Description:
* 接口文档访问地址：http://serverIP:port/swagger-ui.html
* Date: 2022/11/25 8:46【需求编号】
*
* @author clam
* @version V1.0.0
*/
public interface PrimaryGridDataService {
/**
* @Description: primaryGridDataHanlder
* @Author: clam
* @Date: 2022/11/25
*/
void primaryGridDataHanlder(PrimaryGridParam primaryGridParam);
/**
* @Description: 主网终端数据完整率月统计
* @Author: clam
* @Date: 2022/11/30
*/
void primaryGridDataIntegrityHanlder(PrimaryGridDataIntegrityParam primaryGridDataIntegrityParam);
}

3
pqs-prepare/prepare-boot/src/main/java/com/njcn/prepare/harmonic/service/mysql/line/NormalLimitService.java
View File

@@ -13,7 +13,4 @@ public interface NormalLimitService extends IMppService<MpSurplusAbnormalD> {
Boolean abnormalLineData(LineParam lineParam);
}