feat(event): 新增压降落点区域判定功能

- 在EventAnalysisService中添加determineDropZone方法用于判定压降落点区域
- 实现压降落点区域判定逻辑,支持A/B/C/D四个区域的分类判断
- 添加精确的数值范围匹配算法,使用BigDecimal确保计算精度
- 集成日志记录功能,便于问题排查和监控
- 在RedisUtil中新增scanKeysByPattern方法支持模糊查询key功能
- 优化代码结构,移除冗余的导入包和空行
- 更新类级别的注解配置,添加@Slf4j注解支持日志功能
This commit is contained in:
xy
2026-05-27 18:10:15 +08:00
parent 615fe78d61
commit 79cec4e21b
3 changed files with 115 additions and 8 deletions

View File

@@ -347,6 +347,30 @@ public class RedisUtil {
return info;
}
/**
* 根据key模糊查询,并取出所有符合条件的key集合
* @return
*/
public Set<String> scanKeysByPattern(String pattern, int count) {
Set<String> keys = new HashSet<>();
ScanOptions options = ScanOptions.scanOptions()
.match(pattern)
.count(count)
.build();
try (Cursor<byte[]> cursor = redisTemplate.getConnectionFactory()
.getConnection()
.scan(options)) {
while (cursor.hasNext()) {
keys.add(new String(cursor.next()));
}
} catch (Exception e) {
throw new RuntimeException("扫描Redis keys失败", e);
}
return keys;
}
/**
* 数据切库
* @param dbIndex

View File

@@ -1,10 +1,10 @@
package com.njcn.event.common.service;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.njcn.event.pojo.param.*;
import com.njcn.event.pojo.param.EventBaseParam;
import com.njcn.event.pojo.param.StatisticsParam;
import com.njcn.event.pojo.vo.*;
import java.text.ParseException;
import java.util.List;
/**
@@ -79,8 +79,6 @@ public interface EventAnalysisService {
*/
Page<WaveTypeVO> getMonitorEventAnalyseQuery(EventBaseParam eventBaseParam);
/**
*监测点事件波形下载
* @author zbj
@@ -88,6 +86,20 @@ public interface EventAnalysisService {
*/
//HttpServletResponse downloadMonitorEventWaveFile(WaveFileParam waveFileParam, HttpServletResponse response) throws Exception;
/**
* 判定压降落点区域
* <p>
* 入参:
* eventValue 特征幅值(百分比形式,如 "80.5" 表示 80.5%),内部 /100 得到 VVm0~1
* persistTime 持续时间(秒)
* <p>
* 优先规则:
* 1) 持续时间 < 0.001 秒 或 VVm = 0 → A区
* 2) 按区间表逐行匹配(左闭右开 [下限, 上限)
* 3) 都不匹配返回 null由调用方走兜底
*
* @return 区域名A区/B区/C区/D区解析失败或未匹配返回 null
*/
String determineDropZone(String eventValue, String persistTime);
}

View File

@@ -4,7 +4,6 @@ import cn.hutool.core.bean.BeanUtil;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.date.DateUtil;
import cn.hutool.core.util.StrUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.njcn.common.config.GeneralInfo;
@@ -13,6 +12,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.device.pq.api.LineFeignClient;
import com.njcn.device.pq.pojo.vo.AreaLineInfoVO;
import com.njcn.device.pq.pojo.vo.LineDetailDataVO;
import com.njcn.event.common.service.EventAnalysisService;
import com.njcn.event.common.service.EventDetailService;
import com.njcn.event.enums.EventResponseEnum;
import com.njcn.event.file.pojo.enums.WaveFileResponseEnum;
@@ -21,19 +21,20 @@ import com.njcn.event.pojo.param.StatisticsParam;
import com.njcn.event.pojo.po.EventDetail;
import com.njcn.event.pojo.po.RmpEventDetailPO;
import com.njcn.event.pojo.vo.*;
import com.njcn.event.common.service.EventAnalysisService;
import com.njcn.influx.utils.InfluxDbUtils;
import com.njcn.system.api.DicDataFeignClient;
import com.njcn.system.enums.DicDataEnum;
import com.njcn.system.enums.DicDataTypeEnum;
import com.njcn.system.pojo.po.DictData;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.influxdb.dto.QueryResult;
import org.springframework.stereotype.Service;
import java.io.*;
import java.text.ParseException;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.time.temporal.ChronoUnit;
@@ -51,6 +52,7 @@ import java.util.zip.ZipOutputStream;
*/
@Service
@RequiredArgsConstructor
@Slf4j
public class EventAnalysisServiceImpl implements EventAnalysisService {
// 定义阈值常量(单位:百分比)
@@ -1727,6 +1729,75 @@ public class EventAnalysisServiceImpl implements EventAnalysisService {
}
@Override
public String determineDropZone(String eventValue, String persistTime) {
if (eventValue == null || eventValue.trim().isEmpty()
|| persistTime == null || persistTime.trim().isEmpty()) {
log.warn("判定压降落点区域入参为空eventValue={}, persistTime={}", eventValue, persistTime);
return null;
}
BigDecimal vvm;
BigDecimal vvtm;
try {
// params[3] 是百分比(如 "80.5"/100 得到 0~1 的 VVm
vvm = new BigDecimal(eventValue.trim()).divide(new BigDecimal("100"), 6, RoundingMode.HALF_UP);
vvtm = new BigDecimal(persistTime.trim());
} catch (Exception e) {
log.error("判定压降落点区域入参解析失败eventValue={}, persistTime={}", eventValue, persistTime, e);
return null;
}
// 1) 超短脉冲 或 完全失压 默认 A 区
if (vvtm.compareTo(new BigDecimal("0.001")) < 0
|| vvm.compareTo(BigDecimal.ZERO) == 0) {
return "A区";
}
// 2) 区间表(左闭右开)
// A区
if (inRange(vvm, "0.9", "1") && inRange(vvtm, "0.001", "60")) {
return "A区";
}
if (inRange(vvm, "0", "0.9") && inRange(vvtm, "0.001", "0.05")) {
return "A区";
}
// B区
if (inRange(vvm, "0.5", "0.7") && inRange(vvtm, "0.05", "0.2")) {
return "B区";
}
if (inRange(vvm, "0.7", "0.8") && inRange(vvtm, "0.05", "0.5")) {
return "B区";
}
if (inRange(vvm, "0.8", "0.9") && inRange(vvtm, "0.05", "60")) {
return "B区";
}
// C区
if (inRange(vvm, "0", "0.5") && inRange(vvtm, "0.05", "1")) {
return "C区";
}
if (inRange(vvm, "0.5", "0.7") && inRange(vvtm, "0.2", "1")) {
return "C区";
}
if (inRange(vvm, "0.7", "0.8") && inRange(vvtm, "0.5", "1")) {
return "C区";
}
// D区
if (inRange(vvm, "0", "0.8") && inRange(vvtm, "1", "60")) {
return "D区";
}
log.warn("压降落点区域未匹配任何规则eventValue={}, persistTime={}", eventValue, persistTime);
return null;
}
/**
* 左闭右开区间判断lowerInclusive ≤ value < upperExclusive
*/
private boolean inRange(BigDecimal value, String lowerInclusive, String upperExclusive) {
return value.compareTo(new BigDecimal(lowerInclusive)) >= 0
&& value.compareTo(new BigDecimal(upperExclusive)) < 0;
}
/**
* 监测点事件波形下载