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处理依赖冲突问题

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自定义报表问题处理
This commit is contained in:
hongawen
2023-09-07 14:51:22 +08:00
parent 82fa9cd90a
commit b5d442e93e
15 changed files with 153 additions and 177 deletions
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4
pqs-harmonic/harmonic-boot/src/main/java/com/njcn/harmonic/service/impl/AssesServiceImpl.java
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@@ -5,10 +5,10 @@ import cn.hutool.core.date.DateUtil;
import com.njcn.device.pq.pojo.param.PulicTimeStatisParam;
import com.njcn.harmonic.mapper.RStatComassesDMapper;
import com.njcn.harmonic.pojo.po.PQSComAssesPO;
import com.njcn.harmonic.pojo.po.PqsComasses;
import com.njcn.harmonic.pojo.vo.AssesVO;
import com.njcn.harmonic.service.AssesService;
import com.njcn.web.utils.ComAssesUtil;
import com.njcn.web.utils.PqsComasses;
import com.njcn.harmonic.util.ComAssesUtil;
import lombok.AllArgsConstructor;
import org.apache.commons.lang.StringUtils;
import org.springframework.stereotype.Service;

123
pqs-harmonic/harmonic-boot/src/main/java/com/njcn/harmonic/service/impl/CustomReportServiceImpl.java
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@@ -191,25 +191,25 @@ public class CustomReportServiceImpl implements CustomReportService {
@Override
public List<ReportTreeVO> deviceUnitTree() {
List<DictData> dictData = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DEVICE_UNIT.getCode()).getData();
Map<String,String> unit=new HashMap<>();
Map<String, String> unit = new HashMap<>();
List<String> list = dictData.stream().map(DictData::getCode).collect(Collectors.toList());
List<ReportTreeVO> info=new ArrayList<>();
List<ReportTreeVO> treeVOS=new ArrayList<>();
List<ReportTreeVO> info = new ArrayList<>();
List<ReportTreeVO> treeVOS = new ArrayList<>();
ReportTreeVO reportTreeVO;
for (String s : list) {
treeVOS=new ArrayList<>();
treeVOS = new ArrayList<>();
//有效值
if(s.equals(DicDataEnum.EFFECTIVE.getCode())){
reportTreeVO=new ReportTreeVO();
reportTreeVO.setName("$"+s+"#i$");
if (s.equals(DicDataEnum.EFFECTIVE.getCode())) {
reportTreeVO = new ReportTreeVO();
reportTreeVO.setName("$" + s + "#i$");
reportTreeVO.setShowName(DicDataEnum.EFFECTIVE.getName());
treeVOS.add(reportTreeVO);
reportTreeVO=new ReportTreeVO();
reportTreeVO.setName("$"+s+"#v$");
reportTreeVO = new ReportTreeVO();
reportTreeVO.setName("$" + s + "#v$");
reportTreeVO.setShowName(DicDataEnum.EFFECTIVE.getName());
treeVOS.add(reportTreeVO);
reportTreeVO=new ReportTreeVO();
reportTreeVO = new ReportTreeVO();
reportTreeVO.setName(s);
reportTreeVO.setShowName(DicDataEnum.EFFECTIVE.getName());
reportTreeVO.setChildren(treeVOS);
@@ -300,7 +300,7 @@ public class CustomReportServiceImpl implements CustomReportService {
//报表日期
.eq(ExcelRpt::getDataDate, reportSearchParam.getStartTime());
try {
List<ExcelRpt> excelRpts = excelRptMapper.selectList(lambdaQuery);
List<ExcelRpt> excelRpts = excelRptMapper.selectList(lambdaQuery);
if (CollUtil.isNotEmpty(excelRpts)) {
fileStorageUtil.downloadStream(response, excelRpts.get(0).getContent());
} else {
@@ -429,7 +429,7 @@ public class CustomReportServiceImpl implements CustomReportService {
//根据content，获取v值并进行处理
List<ReportTemplateDTO> reportTemplateDTOList = new ArrayList<>();
JSONArray jsonArray;
try(InputStream fileStream = fileStorageUtil.getFileStream(excelRptTemp.getContent())) {
try (InputStream fileStream = fileStorageUtil.getFileStream(excelRptTemp.getContent())) {
//通过文件服务器获取
jsonArray = new JSONArray(new JSONTokener(fileStream, new JSONConfig()));
jsonArray.forEach(item -> {
@@ -486,7 +486,7 @@ public class CustomReportServiceImpl implements CustomReportService {
} else if (InfluxDbSqlConstant.AVG.equalsIgnoreCase(data.getStatMethod())) {
assSql(data, sql, endList, InfluxDbSqlConstant.AVG, reportSearchParam);
} else if (InfluxDbSqlConstant.CP95.equalsIgnoreCase(data.getStatMethod())) {
assSql(data, sql, endList, InfluxDbSqlConstant.CP95, reportSearchParam);
assSql(data, sql, endList, InfluxDbSqlConstant.PERCENTILE, reportSearchParam);
}
});
}
@@ -510,19 +510,22 @@ public class CustomReportServiceImpl implements CustomReportService {
String v = son.getStr("v");
//数据格式：$HA[_25]#B#max#classId$ 或 $HA[_25]#max#classId$
if (v.charAt(0) == '$' && v.contains("#")) {
String str = assMap.get(v.replace("$", "")).get(0).getValue();
//没有值，赋"/"
if (StringUtils.isBlank(str)) {
str = "/";
String str = "";
if(Objects.nonNull(assMap.get(v.replace("$", "")))){
str = assMap.get(v.replace("$", "")).get(0).getValue();
//没有值，赋"/"
if (StringUtils.isBlank(str)) {
str = "/";
}
son.set("v", str);
}
son.set("v", str);
}
//解决数据单位问题 @指标#类型@
if (v.charAt(0) == '@' && v.contains("#")) {
String replace = v.replace("@", "");
if(unit.containsKey(replace)){
if (unit.containsKey(replace)) {
son.set("v", unit.get(replace));
}else{
} else {
son.set("v", "/");
}
@@ -553,54 +556,55 @@ public class CustomReportServiceImpl implements CustomReportService {
/**
* 数据单位信息
*
* @param lineID
* @return
*/
private Map<String,String> unitMap(String lineID){
private Map<String, String> unitMap(String lineID) {
PqsDeviceUnit deviceUnit = deviceUnitClient.lineUnitDetail(lineID).getData();
List<DictData> dictData = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DEVICE_UNIT.getCode()).getData();
Map<String,String> unit=new HashMap<>();
Map<String, String> unit = new HashMap<>();
List<String> list = dictData.stream().map(DictData::getCode).collect(Collectors.toList());
for (String s : list) {
//有效值
if(s.equals(DicDataEnum.EFFECTIVE.getCode())){
unit.put(s+"#i",deviceUnit.getIeffective());
unit.put(s+"#v",deviceUnit.getLineVoltage());
if (s.equals(DicDataEnum.EFFECTIVE.getCode())) {
unit.put(s + "#i", deviceUnit.getIeffective());
unit.put(s + "#v", deviceUnit.getLineVoltage());
}
//功率
if(s.equals(DicDataEnum.POWER.getCode())){
unit.put(s+"#p",deviceUnit.getTotalActiveP());
unit.put(s+"#q",deviceUnit.getTotalNoP());
unit.put(s+"#s",deviceUnit.getTotalViewP());
if (s.equals(DicDataEnum.POWER.getCode())) {
unit.put(s + "#p", deviceUnit.getTotalActiveP());
unit.put(s + "#q", deviceUnit.getTotalNoP());
unit.put(s + "#s", deviceUnit.getTotalViewP());
}
//畸变率
if(s.equals(DicDataEnum.DISTORTION.getCode())){
unit.put(s+"#v",deviceUnit.getVdistortion());
if (s.equals(DicDataEnum.DISTORTION.getCode())) {
unit.put(s + "#v", deviceUnit.getVdistortion());
}
//电压偏差
if(s.equals(DicDataEnum.VOLTAGE.getCode())){
unit.put(s+"#v",deviceUnit.getVoltageDev());
if (s.equals(DicDataEnum.VOLTAGE.getCode())) {
unit.put(s + "#v", deviceUnit.getVoltageDev());
}
//频率
if(s.equals(DicDataEnum.UNIT_FREQUENCY.getCode())){
unit.put(s+"#freq",deviceUnit.getUnitFrequency());
unit.put(s+"#freqDev",deviceUnit.getUnitFrequencyDev());
if (s.equals(DicDataEnum.UNIT_FREQUENCY.getCode())) {
unit.put(s + "#freq", deviceUnit.getUnitFrequency());
unit.put(s + "#freqDev", deviceUnit.getUnitFrequencyDev());
}
//三项不平衡度
if(s.equals(DicDataEnum.UNBALANCE.getCode())){
unit.put(s+"#v","%");
unit.put(s+"#vPos",deviceUnit.getPositiveV());
unit.put(s+"#vNeg",deviceUnit.getNoPositiveV());
unit.put(s+"#vZero",deviceUnit.getNoPositiveV());
unit.put(s+"#i","%");
unit.put(s+"#iPos","A");
unit.put(s+"#iNeg","A");
unit.put(s+"#iZero","A");
if (s.equals(DicDataEnum.UNBALANCE.getCode())) {
unit.put(s + "#v", "%");
unit.put(s + "#vPos", deviceUnit.getPositiveV());
unit.put(s + "#vNeg", deviceUnit.getNoPositiveV());
unit.put(s + "#vZero", deviceUnit.getNoPositiveV());
unit.put(s + "#i", "%");
unit.put(s + "#iPos", "A");
unit.put(s + "#iNeg", "A");
unit.put(s + "#iZero", "A");
}
//基波
if(s.equals(DicDataEnum.FUND.getCode())){
unit.put(s+"#i",deviceUnit.getIfund());
unit.put(s+"#v",deviceUnit.getVfundEffective());
if (s.equals(DicDataEnum.FUND.getCode())) {
unit.put(s + "#i", deviceUnit.getIfund());
unit.put(s + "#v", deviceUnit.getVfundEffective());
}
}
@@ -616,7 +620,7 @@ public class CustomReportServiceImpl implements CustomReportService {
//sql拼接示例：select MAX(IHA2) as IHA2 from power_quality_data where Phase = 'A' and LineId='1324564568' and Stat_Method='max' tz('Asia/Shanghai')
//cp95函数特殊处理 PERCENTILE(field_key, N)
if (InfluxDbSqlConstant.CP95.equals(method)) {
if (InfluxDbSqlConstant.PERCENTILE.equals(method)) {
sql.append(method)
.append(InfluxDbSqlConstant.LBK)
.append(data.getTemplateName())
@@ -660,11 +664,13 @@ public class CustomReportServiceImpl implements CustomReportService {
}
//频率和频率偏差仅统计T相
if(data.getTemplateName().equals("freq_dev") || data.getTemplateName().equals("freq")){
if (data.getTemplateName().equals("freq_dev") || data.getTemplateName().equals("freq")) {
sql.append(InfluxDbSqlConstant.AND)
.append(InfluxDBTableConstant.PHASIC_TYPE)
.append(InfluxDbSqlConstant.EQ)
.append(InfluxDBTableConstant.PHASE_TYPE_T);
.append(InfluxDbSqlConstant.QM)
.append(InfluxDBTableConstant.PHASE_TYPE_T)
.append(InfluxDbSqlConstant.QM);
}
//时间范围处理
sql
@@ -675,12 +681,21 @@ public class CustomReportServiceImpl implements CustomReportService {
sql.append(InfluxDbSqlConstant.TZ);
if (data.getTemplateName().equals("freq_dev") || data.getTemplateName().equals("freq")) {
System.out.println(sql);
}
//根据不同的库表赋值
StatisticalDataDTO statisticalDataDTO = commonService.selectBySql(sql);
data.setValue(String.format("%.3f",statisticalDataDTO.getValue()));
StatisticalDataDTO statisticalDataDTO = commonService.selectBySql(sql);
if (Objects.isNull(statisticalDataDTO)) {
data.setValue("/");
} else {
data.setValue(String.format("%.3f", statisticalDataDTO.getValue()));
}
endList.add(data);
}
}

324
pqs-harmonic/harmonic-boot/src/main/java/com/njcn/harmonic/util/ComAssesUtil.java Normal file
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@@ -0,0 +1,324 @@
package com.njcn.harmonic.util;
import com.njcn.harmonic.pojo.po.PqsComasses;
import com.njcn.web.utils.FloatUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import java.util.List;
/**
* @author yexb(创建)-----denghuajun(移植使用）
* @version 1.0
* @date 2018/8/23 16:02
*/
//因素集U={频率偏差、电网谐波、电压波动与闪变、电压偏差、电压暂降、三相不平衡}
//评判级分为5个等级，即：Q = {很差，较差，合格，良好，优质}
/* 电压偏差 电网谐波 三相不平衡 频率偏差 电压波动 电压暂降
(偏差绝对值/%) (电压总谐波畸变率%) (不平衡度/%) (偏差绝对值/Hz) (短时闪变值) (暂降幅度%)
第1 级 10～ 6..0～ 4.0～ 0.3～ 0.8～ 90～
第2 级 7～10 4.0～6.0 2..0～4.0 0.2～0.3 0.6～0.8 40～90
第3 级 4～7 2.0～4.0 1.0～2.0 0.1～0.2 0.4～0.6 20～40
第4 级 2～4 1.0～2.0 0.5～1.0 0.05～0.1 0.2～0.4 10～20
第5 级 0～2 0～1.0 0～0.5 0～0.05 0～0.2 0～10
*/
@Component
public class ComAssesUtil {
// 日志记录
private static final Logger logger = LoggerFactory.getLogger(ComAssesUtil.class);
private static final int ST_QT_NUM = 6;//系统评价指标数目
private static final int GRADE_NUM = 5;//指标分级数目
private static final int METHOD_NUM = 5;//评估方法数
private static final int METHOD_IDX1 = 0;//层次分析法
private static final int METHOD_IDX2 = 1;//优序图法
private static final int METHOD_IDX3 = 2;//专家打分法
private static final int METHOD_IDX4 = 3;//熵权法
private static final int METHOD_IDX5 = 4;//变异系数法
private static final int IDX_FREQ = 0;//频率
private static final int IDX_UTHD = 1;//电压畸变率
private static final int IDX_FLICK = 2;//电压闪变
private static final int IDX_UDEV = 3;//电压偏差
private static final int IDX_EVT = 4;//电压暂降
private static final int IDX_UBPH = 5;//电压不平衡
private static final int MAX_DATA_TYPE = 5;//5种统计数据
private static final int MAX_DATA_NUM = 1440 * 31;//最大统计数据个数
private static final int MAX_EVT_NUM = 1000;//最大暂态事件个数
//3种主观赋权法直接摘录文档中计算好的最终评估权重
//层次分析法
private float W1[] = {0.38f, 0.22f, 0.13f, 0.12f, 0.08f, 0.07f};
//优序图法
private float W2[] = {0.28f, 0.24f, 0.19f, 0.14f, 0.10f, 0.05f};
//专家打分法
private float W3[] = {0.39f, 0.26f, 0.12f, 0.09f, 0.07f, 0.07f};
//数据评估矩阵
private float Assess[][];
//权重矩阵
private float Weight[][];
float A[];
// 综合评估程序,返回值为评估分
public float GetComAsses(float in_data[][]) {
float fResult = 0.0f;//返回最终评分
try{
//实例化所有参数
Assess = new float[ST_QT_NUM][GRADE_NUM];
Weight = new float[ST_QT_NUM][METHOD_NUM];
A = new float[ST_QT_NUM];
float B[] = new float[GRADE_NUM];
int i, j;
float sum1, sum2;
Assess = in_data;//给评估矩阵赋值，此值直接从相应的数据库中获取
//W1-W3为主观赋权，直接从文档上摘录赋权
for (i = 0; i < ST_QT_NUM; i++) {
Weight[i][METHOD_IDX1] = W1[i];
Weight[i][METHOD_IDX2] = W2[i];
Weight[i][METHOD_IDX3] = W3[i];
}
//熵权法求W4
if (getSqf()) {
//变异系数法求W5
if (getBysxf()) {
//G和F得出综合权重A
if (getZhqzf()) {
A[0] = 0.28f;A[1] = 0.23f;A[2] = 0.13f;A[3] = 0.16f;A[4] = 0.08f;A[5] = 0.12f;
for (i = 0; i < GRADE_NUM; i++) {
B[i] = 0;
for (j = 0; j < ST_QT_NUM; j++) {
B[i] += A[j] * Assess[j][i];
}
}
sum1 = 0;
sum2 = 0;
for (i = 0; i < GRADE_NUM; i++) {
sum1 += (i + 1) * B[i];
sum2 += B[i];
}
fResult = sum1 / sum2;
}
}
}
fResult = FloatUtils.get2Float(fResult);
}catch (Exception e){
//Todo
}
return fResult;
}
/**
* 大批量的监测点的综合得分获取平均值
* @param pqsComasses 批量数据
*/
public float getAllComAss(List<PqsComasses> pqsComasses) {
float allData=0f;
for(int i=0;i<pqsComasses.size();i++){
PqsComasses tempPqs=pqsComasses.get(i);
//组合二维数组
float f1[][]={{tempPqs.getFreqDev1().floatValue(),tempPqs.getFreqDev2().floatValue(),tempPqs.getFreqDev3().floatValue()
,tempPqs.getFreqDev4().floatValue(),tempPqs.getFreqDev5().floatValue()}
,{tempPqs.getVThd1().floatValue(),tempPqs.getVThd2().floatValue(),tempPqs.getVThd3().floatValue(),tempPqs.getVThd4().floatValue(),tempPqs.getVThd5().floatValue(),}
,{tempPqs.getDataPlt1().floatValue(),tempPqs.getDataPlt2().floatValue(),tempPqs.getDataPlt3().floatValue(),tempPqs.getDataPlt4().floatValue(),tempPqs.getDataPlt5().floatValue()}
,{tempPqs.getVuDev1().floatValue(),tempPqs.getVuDev2().floatValue(),tempPqs.getVuDev3().floatValue(),tempPqs.getVuDev4().floatValue(),tempPqs.getVuDev5().floatValue(),}
,{tempPqs.getVUnbalance1().floatValue(),tempPqs.getVUnbalance2().floatValue(),tempPqs.getVUnbalance3().floatValue(),tempPqs.getVUnbalance4().floatValue(),tempPqs.getVUnbalance5().floatValue(),}
,{tempPqs.getEvent1().floatValue(),tempPqs.getEvent2().floatValue(),tempPqs.getEvent3().floatValue(),tempPqs.getEvent4().floatValue(),tempPqs.getEvent5().floatValue(),}};
//获取该值返回的数据
float temp=GetComAsses(f1);
allData+=temp;
}
float aveData=allData/pqsComasses.size();
return FloatUtils.get2Float(aveData);
}
//熵权法求权重
private boolean getSqf() {
boolean blSqfFlag = true;
try {
int i, j;
float k, m;
float sum[] = new float[ST_QT_NUM];
float e[] = new float[ST_QT_NUM];
float d[] = new float[ST_QT_NUM];
//计算第j个指标的熵值e(j)
m = GRADE_NUM;
//k = (1/1.6094379124341);
k = (float) (1 / ((Math.log(m)) / Math.log(2.7183)));
for (i = 0; i < ST_QT_NUM; i++) {
sum[i] = 0;
for (j = 0; j < GRADE_NUM; j++) {
if (Assess[i][j] != 0) {
sum[i] += Assess[i][j] * (Math.log(Assess[i][j]) / Math.log(2.7183));
}
}
e[i] = -k * sum[i];
}
for (i = 0; i < ST_QT_NUM; i++) {
d[i] = 1 - e[i];
}
sum[0] = 0;
for (i = 0; i < ST_QT_NUM; i++) {
sum[0] += d[i];
}
for (i = 0; i < ST_QT_NUM; i++) {
Weight[i][METHOD_IDX4] = d[i] / sum[0];
}
} catch (Exception e) {
logger.error(e.getMessage());
blSqfFlag = false;
}
return blSqfFlag;
}
//变异系数法求权重
private boolean getBysxf() {
boolean blBysxfFlag = true;
try {
float avg_f[] = new float[ST_QT_NUM];//平均值
float std_f[] = new float[ST_QT_NUM];//标准差
float byxs[] = new float[ST_QT_NUM];//变异系数
float sum;
int i, j;
for (i = 0; i < ST_QT_NUM; i++) {
avg_f[i] = 0;
std_f[i] = 0;
byxs[i] = 0;
}
//求平均值
for (i = 0; i < ST_QT_NUM; i++) {
sum = 0;
for (j = 0; j < GRADE_NUM; j++) {
sum += Assess[i][j];
}
avg_f[i] = sum / GRADE_NUM;
}
//求标准差
for (i = 0; i < ST_QT_NUM; i++) {
sum = 0;
for (j = 0; j < GRADE_NUM; j++) {
sum += Math.pow((Assess[i][j] - avg_f[i]), 2);
}
std_f[i] = (float) (Math.sqrt(sum / GRADE_NUM));
}
//求变异系数
for (i = 0; i < ST_QT_NUM; i++) {
if (avg_f[i] < 0) {
avg_f[i] = 0 - avg_f[i];
}
byxs[i] = std_f[i] / avg_f[i];
}
sum = 0;
for (i = 0; i < ST_QT_NUM; i++) {
sum += byxs[i];
}
for (i = 0; i < ST_QT_NUM; i++) {
Weight[i][METHOD_IDX5] = byxs[i] / sum;
}
} catch (Exception e) {
logger.error(e.getMessage());
blBysxfFlag = false;
}
return blBysxfFlag;
}
//求综合权重,主观权重和客观权重占比相等各自50%
private boolean getZhqzf() {
float D[] = new float[ST_QT_NUM];
float e[] = new float[ST_QT_NUM];
float C[][] = new float[ST_QT_NUM][ST_QT_NUM];
float C1[][] = new float[ST_QT_NUM][ST_QT_NUM];
float tmp1[] = new float[ST_QT_NUM];
float tmp2[] = new float[ST_QT_NUM];
boolean blZhqzfFlag = true;
try {
int i, j, k;
float t1, t2;
//求C
for (i = 0; i < ST_QT_NUM; i++) {
tmp1[i] = 0;
for (j = 0; j < GRADE_NUM; j++) {
tmp1[i] += 2 * METHOD_NUM * Math.pow(Assess[i][j], 2);
}
}
for (i = 0; i < ST_QT_NUM; i++) {
for (j = 0; j < ST_QT_NUM; j++) {
if (i == j) {
C[i][j] = tmp1[i];
}
else {
C[i][j] = 0;
}
}
}
//求C的逆矩阵C1,由于C是对角矩阵，简化矩阵求逆
for (i = 0; i < ST_QT_NUM; i++) {
for (j = 0; j < ST_QT_NUM; j++) {
if (i == j) {
C1[i][j] = (float) 1.0 / C[i][j];
}
else {
C1[i][j] = 0;
}
}
}
//求D
for (i = 0; i < ST_QT_NUM; i++) {
tmp1[i] = 0;
for (k = 0; k < METHOD_NUM; k++) {
tmp1[i] += Weight[i][k];
}
tmp2[i] = 0;
for (j = 0; j < GRADE_NUM; j++) {
tmp2[i] += tmp1[i] * Math.pow(Assess[i][j], 2);
}
D[i] = 2 * tmp2[i];
}
//e赋值
for (i = 0; i < ST_QT_NUM; i++) {
e[i] = 1;
}
//计算eT*C1
for (i = 0; i < ST_QT_NUM; i++) {
tmp1[i] = 0;
for (j = 0; j < ST_QT_NUM; j++) {
tmp1[i] += e[i] * C1[j][i];
}
}
t1 = 0;
for (i = 0; i < ST_QT_NUM; i++) {
t1 += tmp1[i] * e[i];
}
t2 = 0;
for (i = 0; i < ST_QT_NUM; i++) {
t2 += tmp1[i] * D[i];
}
for (i = 0; i < ST_QT_NUM; i++) {
e[i] = e[i] * ((1 - t2) / t1);
}
for (i = 0; i < ST_QT_NUM; i++) {
D[i] = D[i] + e[i];
}
//求A
for (i = 0; i < ST_QT_NUM; i++) {
A[i] = 0;
for (j = 0; j < ST_QT_NUM; j++) {
A[i] += C1[i][j] * D[j];
}
}
} catch (Exception ex) {
logger.error(ex.getMessage());
blZhqzfFlag = false;
}
return blZhqzfFlag;
}
}