PowerCurveFittingByTimeService.java 72 KB

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  1. package com.gyee.generation.service;
  2. import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
  3. import com.gyee.common.contant.ContantXk;
  4. import com.gyee.common.model.PointData;
  5. import com.gyee.generation.init.CacheContext;
  6. import com.gyee.generation.model.auto.*;
  7. import com.gyee.generation.model.vo.CureFittingVo;
  8. import com.gyee.generation.model.vo.PointVo;
  9. import com.gyee.generation.model.vo.PointfVo;
  10. import com.gyee.generation.service.auto.*;
  11. import com.gyee.generation.util.DateUtils;
  12. import com.gyee.generation.util.StringUtils;
  13. import com.gyee.generation.util.realtimesource.IEdosUtil;
  14. import com.gyee.generation.util.realtimesource.math.LineUtil;
  15. import org.slf4j.Logger;
  16. import org.slf4j.LoggerFactory;
  17. import org.springframework.beans.factory.annotation.Value;
  18. import org.springframework.stereotype.Service;
  19. import javax.annotation.Resource;
  20. import java.util.*;
  21. import java.util.stream.Collectors;
  22. @Service
  23. public class PowerCurveFittingByTimeService {
  24. private static final Logger logger = LoggerFactory.getLogger(PowerCurveFittingByTimeService.class);
  25. @Resource
  26. private IEdosUtil edosUtil;
  27. @Value("${curvefitting.dimension}")
  28. private Integer dimension;
  29. @Value("${curvefitting.scale}")
  30. private Double scale;
  31. @Value("${initialcode}")
  32. private String initialcode;
  33. public Map<String, Double> windturbineCapacity;
  34. @Resource
  35. private IProEconWtCurveFittingMonthService proEconWtCurveFittingMonthService;
  36. @Resource
  37. private IProEconWtCurveFittingYearService proEconWtCurveFittingYearService;
  38. @Resource
  39. private IProEconWtCurveFittingService proEconWtCurveFittingService;
  40. @Resource
  41. private IProEconCurveFittingMainService proEconCurveFittingMainService;
  42. @Resource
  43. private IProEconCurveFittingSubService proEconCurveFittingSubService;
  44. @Resource
  45. private IProEconCurveFittMonthMainService proEconCurveFittMonthMainService;
  46. @Resource
  47. private IProEconCurveFittMonthSubService proEconCurveFittMonthSubService;
  48. @Resource
  49. private IProEconWtPowerCurveFittingService proEconWtPowerCurveFittingService;
  50. @Resource
  51. private IProEconCurveFittYearSubService proEconCurveFittYearSubService;
  52. @Resource
  53. private IProEconCurveFittYearMainService proEconCurveFittYearMainService;
  54. public void cureFittingDay(Date recordDate) throws Exception {
  55. //日期变为昨天
  56. Date end = DateUtils.addDays(DateUtils.truncate(recordDate), -1);
  57. Calendar c = Calendar.getInstance();
  58. c.setTime(end);
  59. Date begin = DateUtils.addDays(end, -6);
  60. Map<String, CureFittingVo> windMap = new HashMap<>();
  61. //初始化风机装机容量
  62. if (windturbineCapacity == null) {
  63. windturbineCapacity = new HashMap<>();
  64. Map<String, ProEconEquipmentmodel> modelMap = CacheContext.modelMap;
  65. for (ProBasicEquipment windturbine : CacheContext.wtls) {
  66. if (modelMap.containsKey(windturbine.getModelId())) {
  67. windturbineCapacity.put(windturbine.getId(), modelMap.get(windturbine.getModelId()).getPowerProduction());
  68. }
  69. }
  70. }
  71. for (ProBasicEquipment wt : CacheContext.wtls) {
  72. String windturbineId = wt.getId();
  73. Map<String, ProBasicEquipmentPoint> windturbinetestingpointnewMap = CacheContext.wtpAimap.get(wt.getId());
  74. //设备有功功率
  75. String pointIdGL = windturbinetestingpointnewMap.get(ContantXk.CJ_SSGL).getNemCode();
  76. //设备明细状态
  77. String pointIdZT = windturbinetestingpointnewMap.get(ContantXk.MXZT).getNemCode();
  78. String pointIdFS;
  79. if (wt.getWindpowerstationId().contains("GDC")) { //测风塔70米风速
  80. if (windturbinetestingpointnewMap.containsKey(ContantXk.FCCFTFS70)) {
  81. ProBasicEquipmentPoint point = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70);
  82. if (StringUtils.notEmp(point.getNemCode()) && !point.getNemCode().equals(initialcode)) {
  83. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70).getNemCode();
  84. } else {
  85. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  86. }
  87. } else {
  88. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  89. }
  90. } else { //设备风速
  91. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  92. }
  93. CureFittingVo item = new CureFittingVo();
  94. item.setPointIdFS(pointIdFS);
  95. item.setPointIdZT(pointIdZT);
  96. item.setPointIdGL(pointIdGL);
  97. //获取标杆风机编号
  98. if (CacheContext.wtstandardmap.containsKey(wt.getId())) {
  99. item.setStandardId(CacheContext.wtstandardmap.get(wt.getId()));
  100. } else {
  101. item.setStandardId(wt.getId());
  102. }
  103. windMap.put(windturbineId, item);
  104. }
  105. for (String key : windMap.keySet()) {
  106. //初始化集合
  107. windMap.get(key).setYsjglPoints(new ArrayList<>());
  108. windMap.get(key).setYzyglPoints(new ArrayList<>());
  109. windMap.get(key).setRsjglPoints(new ArrayList<>());
  110. windMap.get(key).setRzyglPoints(new ArrayList<>());
  111. windMap.get(key).setNsjglPoints(new ArrayList<>());
  112. windMap.get(key).setNzyglPoints(new ArrayList<>());
  113. if (windMap.get(key).getPointIdGL() == null || windMap.get(key).getPointIdFS() == null || windMap.get(key).getPointIdZT() == null) {
  114. logger.info(key);
  115. continue;
  116. }
  117. //拟合日功率曲线
  118. curveFittingBuilder(begin, end, dimension, scale, windMap.get(key).getPointIdGL(), windMap.get(key).getPointIdFS(), windMap.get(key).getPointIdZT(), windMap.get(key).getRsjglPoints(), windMap.get(key).getRzyglPoints(), key);
  119. List<PointVo> vos = windMap.get(key).getRsjglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  120. windMap.get(key).setRsjglPoints(vos);
  121. vos = windMap.get(key).getRzyglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  122. windMap.get(key).setRzyglPoints(vos);
  123. }
  124. for (String key : windMap.keySet()) {
  125. Double modelpower = 1500.0;
  126. if (windturbineCapacity.containsKey(key)) {
  127. modelpower = windturbineCapacity.get(key);
  128. }
  129. //日的昨天
  130. List<PointVo> dayLastMonthPoints = new ArrayList<>();
  131. //日的去年同期
  132. List<PointVo> dayLastYearPoints = new ArrayList<>();
  133. //日标准功率
  134. List<PointVo> dayStandardPoints = new ArrayList<>();
  135. //保证功率
  136. List<PointVo> bzglpowerPoints = new ArrayList<>();
  137. if (CacheContext.wtstandardmap.containsKey(key)) {
  138. String standardId = CacheContext.wtstandardmap.get(key);
  139. if (StringUtils.notEmp(standardId)) {
  140. if (windMap.containsKey(key)) {
  141. dayStandardPoints = windMap.get(standardId).getRsjglPoints();
  142. }
  143. }
  144. }
  145. //*********************************************日曲线偏差上个日和上一年记录**********************************************************/
  146. Date d1 = DateUtils.addDays(recordDate, -1);
  147. Date d2 = DateUtils.addYears(recordDate, -1);
  148. List<ProEconWtCurveFitting> wcfls = proEconWtCurveFittingService.list().stream().filter(i -> i.getWindturbineId().equals(key) &&
  149. i.getRecordDate().compareTo(d1) == 0).sorted(Comparator.comparing(ProEconWtCurveFitting::getSpeed)).collect(Collectors.toList());
  150. dayBuildPoints(wcfls, dayLastMonthPoints);
  151. wcfls = proEconWtCurveFittingService.list().stream().filter(i -> i.getWindturbineId().equals(key) &&
  152. i.getRecordDate().compareTo(d2) == 0).sorted(Comparator.comparing(ProEconWtCurveFitting::getSpeed)).collect(Collectors.toList());
  153. //与轶总的原始代码对比不一致,临时修改测试
  154. dayBuildPoints(wcfls, dayLastMonthPoints);
  155. //*********************************************日曲线偏差上个月和上一年记录**********************************************************/
  156. if (CacheContext.wtmap.containsKey(key)) {
  157. String modelid = CacheContext.wtmap.get(key).getModelId();
  158. if (StringUtils.notEmp(modelid)) {
  159. //获取模型功率曲线
  160. if (CacheContext.theoreticalPowerMap.containsKey(modelid)) {
  161. for (Double speed : CacheContext.theoreticalPowerMap.get(modelid).keySet()) {
  162. PointVo point = new PointVo();
  163. point.setX(speed);
  164. point.setY(CacheContext.theoreticalPowerMap.get(modelid).get(speed).getEnsurePower());
  165. bzglpowerPoints.add(point);
  166. }
  167. }
  168. }
  169. }
  170. //*********************************************当日曲线偏差记录**********************************************************/
  171. Optional<ProEconCurveFittingMain> cfmdayo = proEconCurveFittingMainService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  172. && i.getRecordDate().compareTo(recordDate) == 0).findFirst();
  173. ProEconCurveFittingMain cfmday;
  174. if (cfmdayo.isPresent()) {
  175. cfmday = cfmdayo.get();
  176. QueryWrapper<ProEconCurveFittingMain> wrapper = new QueryWrapper<>();
  177. wrapper.eq("id", cfmday.getId());
  178. proEconCurveFittingMainService.remove(wrapper);
  179. }
  180. cfmday = new ProEconCurveFittingMain();
  181. cfmday.setWindturbineId(key);
  182. cfmday.setRecordDate(DateUtils.truncate(recordDate));
  183. //日---实际/最优
  184. cfmday.setDeviationRate1(pcl(windMap.get(key).getRsjglPoints(), windMap.get(key).getRzyglPoints(), modelpower));
  185. //日---实际/保证
  186. cfmday.setDeviationRate2(pcl(windMap.get(key).getRsjglPoints(), bzglpowerPoints, modelpower));
  187. //日---最优/保证
  188. cfmday.setDeviationRate3(pcl(windMap.get(key).getRzyglPoints(), bzglpowerPoints, modelpower));
  189. //日---实际/上日实际
  190. cfmday.setMonthDeviationRate(pcl(windMap.get(key).getRsjglPoints(), dayLastMonthPoints, modelpower));
  191. //日---实际/同期实际
  192. cfmday.setYearDeviationRate(pcl(windMap.get(key).getRsjglPoints(), dayLastYearPoints, modelpower));
  193. //日---实际/标杆实际
  194. cfmday.setStandardDeviationRate(pcl(windMap.get(key).getRsjglPoints(), dayStandardPoints, modelpower));
  195. proEconCurveFittingMainService.save(cfmday);
  196. //*********************************************当日曲线偏差记录**********************************************************/
  197. pLCBuild(key, recordDate, windMap, modelpower, 3, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  198. pLCBuild(key, recordDate, windMap, modelpower, 4, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  199. pLCBuild(key, recordDate, windMap, modelpower, 5, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  200. pLCBuild(key, recordDate, windMap, modelpower, 6, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  201. pLCBuild(key, recordDate, windMap, modelpower, 7, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  202. pLCBuild(key, recordDate, windMap, modelpower, 8, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  203. pLCBuild(key, recordDate, windMap, modelpower, 9, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  204. pLCBuild(key, recordDate, windMap, modelpower, 10, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  205. pLCBuild(key, recordDate, windMap, modelpower, 11, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  206. pLCBuild(key, recordDate, windMap, modelpower, 12, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  207. pLCBuild(key, recordDate, windMap, modelpower, 13, bzglpowerPoints, dayLastMonthPoints, dayLastYearPoints, dayStandardPoints);
  208. insertPoints(recordDate, windMap.get(key).getRsjglPoints(), windMap.get(key).getRzyglPoints(), key);
  209. logger.info(key);
  210. //
  211. // logger.info(String.format("{1}:更新sqlserver数据库记录数:{0}", z, new Date()));
  212. }
  213. }
  214. public void cureFittingMonth(Date recordDate) throws Exception {
  215. //日期变为昨天
  216. Date end = DateUtils.addDays(DateUtils.truncate(recordDate), -1);
  217. Calendar c = Calendar.getInstance();
  218. c.setTime(recordDate);
  219. int day_year = c.get(Calendar.YEAR);
  220. int day_month = c.get(Calendar.MONTH) + 1;
  221. c.set(Calendar.DAY_OF_MONTH, 1);
  222. Date begin = c.getTime();
  223. //上个月
  224. c.setTime(DateUtils.addMonths(begin, -1));
  225. int month_year = c.get(Calendar.YEAR);
  226. int month_month = c.get(Calendar.MONTH) + 1;
  227. //去年同期
  228. c.setTime(DateUtils.addYears(begin, -1));
  229. int year_year = c.get(Calendar.YEAR);
  230. int year_month = c.get(Calendar.MONTH) + 1;
  231. Map<String, CureFittingVo> windMap = new HashMap<>();
  232. if (windturbineCapacity == null) {
  233. windturbineCapacity = new HashMap<>();
  234. Map<String, ProEconEquipmentmodel> modelMap = CacheContext.modelMap;
  235. for (ProBasicEquipment windturbine : CacheContext.wtls) {
  236. if (modelMap.containsKey(windturbine.getModelId())) {
  237. windturbineCapacity.put(windturbine.getId(), modelMap.get(windturbine.getModelId()).getPowerProduction());
  238. }
  239. }
  240. }
  241. for (ProBasicEquipment wt : CacheContext.wtls) {
  242. String windturbineId = wt.getId();
  243. Map<String, ProBasicEquipmentPoint> windturbinetestingpointnewMap = CacheContext.wtpAimap.get(wt.getId());
  244. //设备有功功率
  245. String pointIdGL = windturbinetestingpointnewMap.get(ContantXk.CJ_SSGL).getNemCode();
  246. //设备明细状态
  247. String pointIdZT = windturbinetestingpointnewMap.get(ContantXk.MXZT).getNemCode();
  248. String pointIdFS;
  249. if (wt.getWindpowerstationId().contains("GDC")) { //测风塔70米风速
  250. if (windturbinetestingpointnewMap.containsKey(ContantXk.FCCFTFS70)) {
  251. ProBasicEquipmentPoint point = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70);
  252. if (StringUtils.notEmp(point.getNemCode()) && !point.getNemCode().equals(initialcode)) {
  253. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70).getNemCode();
  254. } else {
  255. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  256. }
  257. } else {
  258. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  259. }
  260. } else { //设备风速
  261. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  262. }
  263. CureFittingVo item = new CureFittingVo();
  264. item.setPointIdFS(pointIdFS);
  265. item.setPointIdZT(pointIdZT);
  266. item.setPointIdGL(pointIdGL);
  267. //获取标杆风机编号
  268. if (CacheContext.wtstandardmap.containsKey(wt.getId())) {
  269. item.setStandardId(CacheContext.wtstandardmap.get(wt.getId()));
  270. } else {
  271. item.setStandardId(wt.getId());
  272. }
  273. windMap.put(windturbineId, item);
  274. }
  275. for (String key : windMap.keySet()) {
  276. //初始化集合
  277. windMap.get(key).setYsjglPoints(new ArrayList<>());
  278. windMap.get(key).setYzyglPoints(new ArrayList<>());
  279. windMap.get(key).setRsjglPoints(new ArrayList<>());
  280. windMap.get(key).setRzyglPoints(new ArrayList<>());
  281. windMap.get(key).setNsjglPoints(new ArrayList<>());
  282. windMap.get(key).setNzyglPoints(new ArrayList<>());
  283. if (windMap.get(key).getPointIdGL() == null || windMap.get(key).getPointIdFS() == null || windMap.get(key).getPointIdZT() == null) {
  284. logger.info(key);
  285. continue;
  286. }
  287. //拟合月功率曲线
  288. curveFittingBuilder(begin, end, dimension, scale, windMap.get(key).getPointIdGL(), windMap.get(key).getPointIdFS(), windMap.get(key).getPointIdZT(), windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), key);
  289. List<PointVo> vos = windMap.get(key).getYsjglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  290. windMap.get(key).setYsjglPoints(vos);
  291. vos = windMap.get(key).getYzyglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  292. windMap.get(key).setYzyglPoints(vos);
  293. }
  294. for (String key : windMap.keySet()) {
  295. Double modelpower = 1500.0;
  296. if (windturbineCapacity.containsKey(key)) {
  297. modelpower = windturbineCapacity.get(key);
  298. }
  299. //月的上月
  300. List<PointVo> monthLastMonthPoints = new ArrayList<>();
  301. //月的去年同期
  302. List<PointVo> monthLastYearPoints = new ArrayList<>();
  303. //月标准功率
  304. List<PointVo> monthStandardPoints = new ArrayList<>();
  305. //保证功率
  306. List<PointVo> bzglpowerPoints = new ArrayList<>();
  307. if (CacheContext.wtstandardmap.containsKey(key)) {
  308. String standardId = CacheContext.wtstandardmap.get(key);
  309. if (StringUtils.notEmp(standardId)) {
  310. if (windMap.containsKey(key)) {
  311. monthStandardPoints = windMap.get(standardId).getYsjglPoints();
  312. }
  313. }
  314. }
  315. String stringyear = String.valueOf(day_year);
  316. String stringmonth = String.valueOf(day_month);
  317. String stringyear2 = String.valueOf(month_year);
  318. String stringmonth2 = String.valueOf(month_month);
  319. String stringyear3 = String.valueOf(year_year);
  320. String stringmonth3 = String.valueOf(year_month);
  321. //*********************************************月曲线偏差上个月和上一年记录**********************************************************/
  322. List<ProEconWtCurveFittingMonth> wcfmls = proEconWtCurveFittingMonthService.list().stream().filter(i -> i.getWindturbineId().equals(key) &&
  323. i.getYear().equals(stringyear2) && i.getMonth().equals(stringmonth2)).sorted(Comparator.comparing(ProEconWtCurveFittingMonth::getSpeed)).collect(Collectors.toList());
  324. monthBuildPoints(wcfmls, monthLastMonthPoints);
  325. wcfmls = proEconWtCurveFittingMonthService.list().stream().filter(i -> i.getWindturbineId().equals(key) &&
  326. i.getYear().equals(stringyear3) && i.getMonth().equals(stringmonth3)).sorted(Comparator.comparing(ProEconWtCurveFittingMonth::getSpeed)).collect(Collectors.toList());
  327. monthBuildPoints(wcfmls, monthLastYearPoints);
  328. //*********************************************月曲线偏差上个月和上一年记录**********************************************************/
  329. if (CacheContext.wtmap.containsKey(key)) {
  330. String modelid = CacheContext.wtmap.get(key).getModelId();
  331. if (StringUtils.notEmp(modelid)) {
  332. //获取模型功率曲线
  333. if (CacheContext.theoreticalPowerMap.containsKey(modelid)) {
  334. for (Double speed : CacheContext.theoreticalPowerMap.get(modelid).keySet()) {
  335. PointVo point = new PointVo();
  336. point.setX(speed);
  337. point.setY(CacheContext.theoreticalPowerMap.get(modelid).get(speed).getEnsurePower());
  338. bzglpowerPoints.add(point);
  339. }
  340. }
  341. }
  342. }
  343. //*********************************************年曲线偏差记录**********************************************************/
  344. //*********************************************当月曲线偏差记录**********************************************************/
  345. Optional<ProEconCurveFittMonthMain> cfmmontho = proEconCurveFittMonthMainService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  346. && i.getYear().equals(stringyear) && i.getMonth().equals(stringmonth)).findFirst();
  347. ProEconCurveFittMonthMain cfmmonth;
  348. if (cfmmontho.isPresent()) {
  349. cfmmonth = cfmmontho.get();
  350. QueryWrapper<ProEconCurveFittMonthMain> wrapper = new QueryWrapper<>();
  351. wrapper.eq("id", cfmmonth.getId());
  352. proEconCurveFittMonthMainService.remove(wrapper);
  353. }
  354. cfmmonth = new ProEconCurveFittMonthMain();
  355. cfmmonth.setWindturbineId(key);
  356. cfmmonth.setYear(String.valueOf(day_year));
  357. cfmmonth.setMonth(String.valueOf(day_month));
  358. //月---实际/最优
  359. cfmmonth.setDeviationRate1(pcl(windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), modelpower));
  360. //月---实际/保证
  361. cfmmonth.setDeviationRate2(pcl(windMap.get(key).getYsjglPoints(), bzglpowerPoints, modelpower));
  362. //月---最优/保证
  363. cfmmonth.setDeviationRate3(pcl(windMap.get(key).getYzyglPoints(), bzglpowerPoints, modelpower));
  364. //月---实际/上月实际
  365. cfmmonth.setMonthDeviationRate(pcl(windMap.get(key).getYsjglPoints(), monthLastMonthPoints, modelpower));
  366. //月---实际/同期实际
  367. cfmmonth.setYearDeviationRate(pcl(windMap.get(key).getYsjglPoints(), monthLastYearPoints, modelpower));
  368. //月---实际/标杆实际
  369. cfmmonth.setStandardDeviationRate(pcl(windMap.get(key).getYsjglPoints(), monthStandardPoints, modelpower));
  370. proEconCurveFittMonthMainService.save(cfmmonth);
  371. //*********************************************当月曲线偏差记录**********************************************************/
  372. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 3, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  373. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 4, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  374. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 5, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  375. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 6, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  376. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 7, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  377. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 8, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  378. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 9, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  379. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 10, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  380. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 11, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  381. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 12, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  382. pLCBuild(key, stringyear, stringmonth, windMap, modelpower, 13, bzglpowerPoints, monthLastMonthPoints, monthLastYearPoints, monthStandardPoints);
  383. insertPoints(stringyear, stringmonth, windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), key);
  384. insertPoints2( windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), key);
  385. logger.info(key);
  386. //
  387. // logger.info(String.format("{1}:更新sqlserver数据库记录数:{0}", z, new Date()));
  388. }
  389. }
  390. public void cureFittingYear(Date recordDate) throws Exception {
  391. //日期变为昨天
  392. Date end = DateUtils.addDays(DateUtils.truncate(recordDate), -1);
  393. Calendar c = Calendar.getInstance();
  394. c.setTime(recordDate);
  395. int day_year = c.get(Calendar.YEAR);
  396. c.set(Calendar.DAY_OF_MONTH, 1);
  397. c.set(Calendar.MONTH, 0);
  398. Date begin = c.getTime();
  399. //去年同期
  400. c.setTime(DateUtils.addYears(begin, -1));
  401. int year_year = c.get(Calendar.YEAR);
  402. Map<String, CureFittingVo> windMap = new HashMap<>();
  403. if (windturbineCapacity == null) {
  404. windturbineCapacity = new HashMap<>();
  405. Map<String, ProEconEquipmentmodel> modelMap = CacheContext.modelMap;
  406. for (ProBasicEquipment windturbine : CacheContext.wtls) {
  407. if (modelMap.containsKey(windturbine.getModelId())) {
  408. windturbineCapacity.put(windturbine.getId(), modelMap.get(windturbine.getModelId()).getPowerProduction());
  409. }
  410. }
  411. }
  412. for (ProBasicEquipment wt : CacheContext.wtls) {
  413. String windturbineId = wt.getId();
  414. Map<String, ProBasicEquipmentPoint> windturbinetestingpointnewMap = CacheContext.wtpAimap.get(wt.getId());
  415. //设备有功功率
  416. String pointIdGL = windturbinetestingpointnewMap.get(ContantXk.CJ_SSGL).getNemCode();
  417. //设备明细状态
  418. String pointIdZT = windturbinetestingpointnewMap.get(ContantXk.MXZT).getNemCode();
  419. String pointIdFS;
  420. if (wt.getWindpowerstationId().contains("GDC")) { //测风塔70米风速
  421. if (windturbinetestingpointnewMap.containsKey(ContantXk.FCCFTFS70)) {
  422. ProBasicEquipmentPoint point = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70);
  423. if (StringUtils.notEmp(point.getNemCode()) && !point.getNemCode().equals(initialcode)) {
  424. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.FCCFTFS70).getNemCode();
  425. } else {
  426. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  427. }
  428. } else {
  429. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  430. }
  431. } else { //设备风速
  432. pointIdFS = windturbinetestingpointnewMap.get(ContantXk.CJ_SSFS).getNemCode();
  433. }
  434. CureFittingVo item = new CureFittingVo();
  435. item.setPointIdFS(pointIdFS);
  436. item.setPointIdZT(pointIdZT);
  437. item.setPointIdGL(pointIdGL);
  438. //获取标杆风机编号
  439. if (CacheContext.wtstandardmap.containsKey(wt.getId())) {
  440. item.setStandardId(CacheContext.wtstandardmap.get(wt.getId()));
  441. } else {
  442. item.setStandardId(wt.getId());
  443. }
  444. windMap.put(windturbineId, item);
  445. }
  446. for (String key : windMap.keySet()) {
  447. //初始化集合
  448. windMap.get(key).setYsjglPoints(new ArrayList<>());
  449. windMap.get(key).setYzyglPoints(new ArrayList<>());
  450. windMap.get(key).setRsjglPoints(new ArrayList<>());
  451. windMap.get(key).setRzyglPoints(new ArrayList<>());
  452. windMap.get(key).setNsjglPoints(new ArrayList<>());
  453. windMap.get(key).setNzyglPoints(new ArrayList<>());
  454. if (windMap.get(key).getPointIdGL() == null || windMap.get(key).getPointIdFS() == null || windMap.get(key).getPointIdZT() == null) {
  455. logger.info(key);
  456. continue;
  457. }
  458. //拟合年功率曲线
  459. curveFittingBuilder(begin, end, dimension, scale, windMap.get(key).getPointIdGL(), windMap.get(key).getPointIdFS(), windMap.get(key).getPointIdZT(), windMap.get(key).getNsjglPoints(), windMap.get(key).getNzyglPoints(), key);
  460. List<PointVo> vos = windMap.get(key).getNsjglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  461. windMap.get(key).setNsjglPoints(vos);
  462. vos = windMap.get(key).getNzyglPoints().stream().filter(it -> it.getX() >= 0 && it.getX() <= 25).sorted(Comparator.comparing(PointVo::getX)).collect(Collectors.toList());
  463. windMap.get(key).setNzyglPoints(vos);
  464. }
  465. for (String key : windMap.keySet()) {
  466. Double modelpower = 1500.0;
  467. if (windturbineCapacity.containsKey(key)) {
  468. modelpower = windturbineCapacity.get(key);
  469. }
  470. //年的上月
  471. List<PointVo> yearLastMonthPoints = new ArrayList<>();
  472. //年的去年同期
  473. List<PointVo> yearLastYearPoints;
  474. //年标准功率
  475. List<PointVo> yearStandardPoints = new ArrayList<>();
  476. //日的昨天
  477. //保证功率
  478. List<PointVo> bzglpowerPoints = new ArrayList<>();
  479. if (CacheContext.wtstandardmap.containsKey(key)) {
  480. String standardId = CacheContext.wtstandardmap.get(key);
  481. if (StringUtils.notEmp(standardId)) {
  482. if (windMap.containsKey(key)) {
  483. yearStandardPoints = windMap.get(standardId).getNsjglPoints();
  484. }
  485. }
  486. }
  487. String stringyear = String.valueOf(day_year);
  488. String stringyear3 = String.valueOf(year_year);
  489. // /*********************************************年曲线偏差上个月和上一年记录**********************************************************/
  490. List<ProEconWtCurveFittingYear> wcfyls = proEconWtCurveFittingYearService.list().stream().filter(i -> i.getWindturbineId().equals(key) &&
  491. i.getYear().equals(stringyear3)).sorted(Comparator.comparing(ProEconWtCurveFittingYear::getSpeed)).collect(Collectors.toList());
  492. //与轶总的原始代码对比不一致,新增代码修改测试
  493. yearBuildPoints(wcfyls, yearLastMonthPoints);
  494. yearLastYearPoints = yearLastMonthPoints;
  495. //*********************************************年曲线偏差上个月和上一年记录**********************************************************/
  496. if (CacheContext.wtmap.containsKey(key)) {
  497. String modelid = CacheContext.wtmap.get(key).getModelId();
  498. if (StringUtils.notEmp(modelid)) {
  499. //获取模型功率曲线
  500. if (CacheContext.theoreticalPowerMap.containsKey(modelid)) {
  501. for (Double speed : CacheContext.theoreticalPowerMap.get(modelid).keySet()) {
  502. PointVo point = new PointVo();
  503. point.setX(speed);
  504. point.setY(CacheContext.theoreticalPowerMap.get(modelid).get(speed).getEnsurePower());
  505. bzglpowerPoints.add(point);
  506. }
  507. }
  508. }
  509. }
  510. //*********************************************年曲线偏差记录**********************************************************/
  511. //*********************************************当年曲线偏差记录**********************************************************/
  512. Optional<ProEconCurveFittYearMain> cfmyearo = proEconCurveFittYearMainService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  513. && i.getYear().equals(stringyear)).findFirst();
  514. ProEconCurveFittYearMain cfmyear;
  515. if (cfmyearo.isPresent()) {
  516. cfmyear = cfmyearo.get();
  517. QueryWrapper<ProEconCurveFittMonthMain> wrapper = new QueryWrapper<>();
  518. wrapper.eq("id", cfmyear.getId());
  519. proEconCurveFittMonthMainService.remove(wrapper);
  520. }
  521. cfmyear = new ProEconCurveFittYearMain();
  522. cfmyear.setWindturbineId(key);
  523. cfmyear.setYear(String.valueOf(day_year));
  524. //年---实际/最优
  525. cfmyear.setDeviationRate1(pcl(windMap.get(key).getNsjglPoints(), windMap.get(key).getNzyglPoints(), modelpower));
  526. //年---实际/保证
  527. cfmyear.setDeviationRate2(pcl(windMap.get(key).getNsjglPoints(), bzglpowerPoints, modelpower));
  528. //年---最优/保证
  529. cfmyear.setDeviationRate3(pcl(windMap.get(key).getNzyglPoints(), bzglpowerPoints, modelpower));
  530. //年---实际/上月实际
  531. cfmyear.setMonthDeviationRate(pcl(windMap.get(key).getNsjglPoints(), yearLastMonthPoints, modelpower));
  532. //年---实际/同期实际
  533. cfmyear.setYearDeviationRate(pcl(windMap.get(key).getNsjglPoints(), yearLastYearPoints, modelpower));
  534. //年---实际/标杆实际
  535. cfmyear.setStandardDeviationRate(pcl(windMap.get(key).getNsjglPoints(), yearStandardPoints, modelpower));
  536. proEconCurveFittYearMainService.save(cfmyear);
  537. //*********************************************当年曲线偏差记录**********************************************************/
  538. pLCBuild(key, stringyear, windMap, modelpower, 3, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  539. pLCBuild(key, stringyear, windMap, modelpower, 4, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  540. pLCBuild(key, stringyear, windMap, modelpower, 5, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  541. pLCBuild(key, stringyear, windMap, modelpower, 6, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  542. pLCBuild(key, stringyear, windMap, modelpower, 7, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  543. pLCBuild(key, stringyear, windMap, modelpower, 8, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  544. pLCBuild(key, stringyear, windMap, modelpower, 9, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  545. pLCBuild(key, stringyear, windMap, modelpower, 10, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  546. pLCBuild(key, stringyear, windMap, modelpower, 11, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  547. pLCBuild(key, stringyear, windMap, modelpower, 12, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  548. pLCBuild(key, stringyear, windMap, modelpower, 13, bzglpowerPoints, yearLastMonthPoints, yearLastYearPoints, yearStandardPoints);
  549. insertPoints(stringyear, windMap.get(key).getNsjglPoints(), windMap.get(key).getNzyglPoints(), key);
  550. logger.info(key);
  551. //
  552. // logger.info(String.format("{1}:更新sqlserver数据库记录数:{0}", z, new Date()));
  553. }
  554. }
  555. public void pLCBuild(String key, Date current, Map<String, CureFittingVo> windMap, Double modelpower, double speed,
  556. List<PointVo> bzglpowerPoints, List<PointVo> lastMonthPoints, List<PointVo> lastYearPoints, List<PointVo> lastStandardPoints
  557. ) {
  558. String speedStr = String.valueOf(speed);
  559. //*********************************************当日曲线偏差子表记录**********************************************************/
  560. Optional<ProEconCurveFittingSub> cfmso = proEconCurveFittingSubService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  561. && i.getRecordDate().compareTo(current) == 0 && i.getSpeed().equals(speedStr)).findFirst();
  562. ProEconCurveFittingSub cfms;
  563. if (cfmso.isPresent()) {
  564. cfms = cfmso.get();
  565. QueryWrapper<ProEconCurveFittingSub> wrapper = new QueryWrapper<>();
  566. wrapper.eq("id", cfms.getId());
  567. proEconCurveFittingSubService.remove(wrapper);
  568. }
  569. cfms = new ProEconCurveFittingSub();
  570. cfms.setWindturbineId(key);
  571. cfms.setSpeed(String.valueOf(speed));
  572. cfms.setRecordDate(DateUtils.truncate(current));
  573. cfms.setDeviationRate1(pcl2(windMap.get(key).getRsjglPoints(), windMap.get(key).getRzyglPoints(), modelpower, speed));
  574. //日---实际/保证
  575. cfms.setDeviationRate2(pcl2(windMap.get(key).getRsjglPoints(), bzglpowerPoints, modelpower, speed));
  576. //日---最优/保证
  577. cfms.setDeviationRate3(pcl2(windMap.get(key).getRzyglPoints(), bzglpowerPoints, modelpower, speed));
  578. //日---实际/上日实际
  579. cfms.setMonthDeviationRate(pcl2(windMap.get(key).getRsjglPoints(), lastMonthPoints, modelpower, speed));
  580. //日---实际/同期实际
  581. cfms.setYearDeviationRate(pcl2(windMap.get(key).getRsjglPoints(), lastYearPoints, modelpower, speed));
  582. //日---实际/标杆实际
  583. cfms.setStandardDeviationRate(pcl2(windMap.get(key).getRsjglPoints(), lastStandardPoints, modelpower, speed));
  584. proEconCurveFittingSubService.save(cfms);
  585. //*********************************************当日曲线偏差子表记录**********************************************************/
  586. }
  587. public void pLCBuild(String key, String stringyear, String stringmonth, Map<String, CureFittingVo> windMap, Double modelpower, double speed,
  588. List<PointVo> bzglpowerPoints, List<PointVo> lastMonthPoints, List<PointVo> lastYearPoints, List<PointVo> lastStandardPoints
  589. ) {
  590. String speedStr = String.valueOf(speed);
  591. //*********************************************当月曲线偏差子表记录**********************************************************/
  592. Optional<ProEconCurveFittMonthSub> cfmsmontho = proEconCurveFittMonthSubService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  593. && i.getYear().equals(stringyear) && i.getMonth().equals(stringmonth) && i.getSpeed().equals(speedStr)).findFirst();
  594. ProEconCurveFittMonthSub cfmsmonth;
  595. if (cfmsmontho.isPresent()) {
  596. cfmsmonth = cfmsmontho.get();
  597. QueryWrapper<ProEconCurveFittMonthSub> wrapper = new QueryWrapper<>();
  598. wrapper.eq("id", cfmsmonth.getId());
  599. proEconCurveFittMonthSubService.remove(wrapper);
  600. }
  601. cfmsmonth = new ProEconCurveFittMonthSub();
  602. cfmsmonth.setWindturbineId(key);
  603. cfmsmonth.setYear(stringyear);
  604. cfmsmonth.setMonth(stringmonth);
  605. cfmsmonth.setSpeed(String.valueOf(speed));
  606. //月---实际/最优
  607. cfmsmonth.setDeviationRate1(pcl2(windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), modelpower, speed));
  608. //月---实际/保证
  609. cfmsmonth.setDeviationRate2(pcl2(windMap.get(key).getYsjglPoints(), bzglpowerPoints, modelpower, speed));
  610. //月---最优/保证
  611. cfmsmonth.setDeviationRate3(pcl2(windMap.get(key).getYzyglPoints(), bzglpowerPoints, modelpower, speed));
  612. //月---实际/上月实际
  613. cfmsmonth.setMonthDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastMonthPoints, modelpower, speed));
  614. //月---实际/同期实际
  615. cfmsmonth.setYearDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastYearPoints, modelpower, speed));
  616. //月---实际/标杆实际
  617. cfmsmonth.setStandardDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastStandardPoints, modelpower, speed));
  618. proEconCurveFittMonthSubService.save(cfmsmonth);
  619. //*********************************************当月曲线偏差子表记录**********************************************************/
  620. }
  621. public void pLCBuild(String key, String stringyear, Map<String, CureFittingVo> windMap, Double modelpower, double speed,
  622. List<PointVo> bzglpowerPoints, List<PointVo> lastMonthPoints, List<PointVo> lastYearPoints, List<PointVo> lastStandardPoints
  623. ) {
  624. String speedStr = String.valueOf(speed);
  625. //*********************************************当年曲线偏差子表记录**********************************************************/
  626. Optional<ProEconCurveFittYearSub> cfmsyearo = proEconCurveFittYearSubService.list().stream().filter(i -> i.getWindturbineId().equals(key)
  627. && i.getYear().equals(stringyear) && i.getSpeed().equals(speedStr)).findFirst();
  628. ProEconCurveFittYearSub cfmsyear;
  629. if (cfmsyearo.isPresent()) {
  630. cfmsyear = cfmsyearo.get();
  631. QueryWrapper<ProEconCurveFittYearSub> wrapper = new QueryWrapper<>();
  632. wrapper.eq("id", cfmsyear.getId());
  633. proEconCurveFittYearSubService.remove(wrapper);
  634. }
  635. cfmsyear = new ProEconCurveFittYearSub();
  636. cfmsyear.setWindturbineId(key);
  637. cfmsyear.setYear(stringyear);
  638. cfmsyear.setSpeed(String.valueOf(speed));
  639. proEconCurveFittYearSubService.save(cfmsyear);
  640. //年---实际/最优
  641. cfmsyear.setDeviationRate1(pcl2(windMap.get(key).getYsjglPoints(), windMap.get(key).getYzyglPoints(), modelpower, speed));
  642. //年---实际/保证
  643. cfmsyear.setDeviationRate2(pcl2(windMap.get(key).getYsjglPoints(), bzglpowerPoints, modelpower, speed));
  644. //年---最优/保证
  645. cfmsyear.setDeviationRate3(pcl2(windMap.get(key).getYzyglPoints(), bzglpowerPoints, modelpower, speed));
  646. //年---实际/上月实际
  647. cfmsyear.setMonthDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastMonthPoints, modelpower, speed));
  648. //年---实际/同期实际
  649. cfmsyear.setYearDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastYearPoints, modelpower, speed));
  650. //年---实际/标杆实际
  651. cfmsyear.setStandardDeviationRate(pcl2(windMap.get(key).getYsjglPoints(), lastStandardPoints, modelpower, speed));
  652. proEconCurveFittYearSubService.save(cfmsyear);
  653. //*********************************************当年曲线偏差子表记录**********************************************************/
  654. }
  655. private void insertPoints(Date current, List<PointVo> sjglls, List<PointVo> zyglls, String windturbineId) {
  656. //*********************************************当日曲线偏差记录**********************************************************/
  657. List<Long> wtcfidls = proEconWtCurveFittingService.list().stream().filter(i -> i.getWindturbineId().equals(windturbineId) &&
  658. i.getRecordDate().compareTo(current) == 0).map(ProEconWtCurveFitting::getId).collect(Collectors.toList());
  659. for (int i = 0; i < wtcfidls.size(); i++) {
  660. proEconWtCurveFittingService.removeByIds(wtcfidls);
  661. }
  662. if (sjglls.size() == zyglls.size()) {
  663. for (int i = 0; i < sjglls.size(); i++) {
  664. ProEconWtCurveFitting item = new ProEconWtCurveFitting();
  665. item.setWindturbineId(windturbineId);
  666. if (CacheContext.wtmap.containsKey(windturbineId)) {
  667. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  668. if (wt.getWindpowerstationId().contains("GDC")) {
  669. continue;
  670. // item.SPEED = Double.Truncate(pointsF2[i].X);
  671. } else {
  672. // boolean l = String.valueOf(sjglls.get(i).getX()).contains(".");
  673. // if (l) {
  674. // continue;
  675. // }
  676. item.setSpeed(sjglls.get(i).getX());
  677. }
  678. item.setActualPower(sjglls.get(i).getY());
  679. item.setOptimalPower(zyglls.get(i).getY());
  680. item.setRecordDate(DateUtils.truncate(current));
  681. proEconWtCurveFittingService.save(item);
  682. }
  683. }
  684. } else {
  685. logger.warn(String.format("下标不一致的风机编号:{0},实际功率:{1},最有功率:{2}", windturbineId, sjglls.size(), zyglls.size()));
  686. for (int i = 0; i < sjglls.size(); i++) {
  687. ProEconWtCurveFitting item = new ProEconWtCurveFitting();
  688. item.setWindturbineId(windturbineId);
  689. if (CacheContext.wtmap.containsKey(windturbineId)) {
  690. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  691. if (wt.getWindpowerstationId().contains("GDC")) {
  692. continue;
  693. //item.SPEED = Double.Truncate(pointsF2[i].X);
  694. } else {
  695. boolean l = String.valueOf(sjglls.get(i).getX()).contains(".");
  696. if (l) {
  697. continue;
  698. }
  699. item.setSpeed(sjglls.get(i).getX());
  700. }
  701. int finalI = i;
  702. OptionalDouble op = zyglls.stream().filter(x -> Objects.equals(x.getX(), sjglls.get(finalI).getX())).mapToDouble(PointVo::getY).findFirst();
  703. if (op.isPresent()) {
  704. item.setOptimalPower(op.getAsDouble());
  705. } else {
  706. item.setOptimalPower(0.0);
  707. }
  708. item.setActualPower(sjglls.get(i).getY());
  709. item.setRecordDate(current);
  710. proEconWtCurveFittingService.save(item);
  711. }
  712. }
  713. //*********************************************当日曲线偏差记录**********************************************************/
  714. }
  715. }
  716. private void insertPoints(String year, String month, List<PointVo> sjglls, List<PointVo> zyglls, String windturbineId) {
  717. //*********************************************当月曲线偏差记录**********************************************************/
  718. List<Long> wtcfmmonthidls = proEconWtCurveFittingMonthService.list().stream().filter(i -> i.getWindturbineId().equals(windturbineId) &&
  719. i.getYear().equals(year) && i.getMonth().equals(month)).map(ProEconWtCurveFittingMonth::getId).collect(Collectors.toList());
  720. for (int i = 0; i < wtcfmmonthidls.size(); i++) {
  721. proEconWtCurveFittingMonthService.removeByIds(wtcfmmonthidls);
  722. }
  723. if (sjglls.size() == zyglls.size()) {
  724. for (int i = 0; i < sjglls.size(); i++) {
  725. ProEconWtCurveFittingMonth item = new ProEconWtCurveFittingMonth();
  726. item.setWindturbineId(windturbineId);
  727. if (CacheContext.wtmap.containsKey(windturbineId)) {
  728. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  729. if (wt.getWindpowerstationId().contains("GDC")) {
  730. continue;
  731. // item.SPEED = Double.Truncate(pointsF1[i].X);
  732. } else {
  733. item.setSpeed(sjglls.get(i).getX());
  734. }
  735. item.setActualPower(sjglls.get(i).getY());
  736. item.setOptimalPower(zyglls.get(i).getY());
  737. item.setYear(String.valueOf(year));
  738. item.setMonth(String.valueOf(month));
  739. proEconWtCurveFittingMonthService.save(item);
  740. }
  741. }
  742. } else {
  743. logger.warn(String.format("下标不一致的风机编号:{0},实际功率:{1},最有功率:{2}", windturbineId, sjglls.size(), zyglls.size()));
  744. for (int i = 0; i < sjglls.size(); i++) {
  745. ProEconWtCurveFittingMonth item = new ProEconWtCurveFittingMonth();
  746. item.setWindturbineId(windturbineId);
  747. if (CacheContext.wtmap.containsKey(windturbineId)) {
  748. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  749. if (wt.getWindpowerstationId().contains("GDC")) {
  750. continue;
  751. //item.SPEED = Double.Truncate(pointsF1[i].X);
  752. } else {
  753. item.setSpeed(sjglls.get(i).getX());
  754. }
  755. item.setActualPower(sjglls.get(i).getY());
  756. int finalI = i;
  757. OptionalDouble op = zyglls.stream().filter(x -> Objects.equals(x.getX(), sjglls.get(finalI).getX())).mapToDouble(PointVo::getY).findFirst();
  758. if (op.isPresent()) {
  759. item.setOptimalPower(op.getAsDouble());
  760. } else {
  761. item.setOptimalPower(0.0);
  762. }
  763. item.setYear(String.valueOf(year));
  764. item.setMonth(String.valueOf(month));
  765. proEconWtCurveFittingMonthService.save(item);
  766. }
  767. }
  768. }
  769. //*********************************************当月曲线偏差记录**********************************************************/
  770. }
  771. private void insertPoints(String year, List<PointVo> sjglls, List<PointVo> zyglls, String windturbineId) {
  772. //*********************************************当年曲线偏差记录**********************************************************/
  773. List<Long> wtcfmyearidls = proEconWtCurveFittingYearService.list().stream().filter(i -> i.getWindturbineId().equals(windturbineId) &&
  774. i.getYear().equals(year)).map(ProEconWtCurveFittingYear::getId).collect(Collectors.toList());
  775. for (int i = 0; i < wtcfmyearidls.size(); i++) {
  776. proEconWtCurveFittingYearService.removeByIds(wtcfmyearidls);
  777. }
  778. if (sjglls.size() == zyglls.size()) {
  779. for (int i = 0; i < sjglls.size(); i++) {
  780. ProEconWtCurveFittingYear item = new ProEconWtCurveFittingYear();
  781. item.setWindturbineId(windturbineId);
  782. if (CacheContext.wtmap.containsKey(windturbineId)) {
  783. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  784. if (wt.getWindpowerstationId().contains("GDC")) {
  785. continue;
  786. // item.SPEED = Double.Truncate(pointsF1[i].X);
  787. } else {
  788. item.setSpeed(sjglls.get(i).getX());
  789. }
  790. item.setActualPower(sjglls.get(i).getY());
  791. item.setOptimalPower(zyglls.get(i).getY());
  792. item.setYear(String.valueOf(year));
  793. proEconWtCurveFittingYearService.save(item);
  794. }
  795. }
  796. } else {
  797. logger.warn(String.format("下标不一致的风机编号:{0},实际功率:{1},最有功率:{2}", windturbineId, sjglls.size(), zyglls.size()));
  798. for (int i = 0; i < sjglls.size(); i++) {
  799. ProEconWtCurveFittingYear item = new ProEconWtCurveFittingYear();
  800. item.setWindturbineId(windturbineId);
  801. if (CacheContext.wtmap.containsKey(windturbineId)) {
  802. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  803. if (wt.getWindpowerstationId().contains("GDC")) {
  804. continue;
  805. //item.SPEED = Double.Truncate(pointsF1[i].X);
  806. } else {
  807. item.setSpeed(sjglls.get(i).getX());
  808. }
  809. item.setActualPower(sjglls.get(i).getY());
  810. int finalI = i;
  811. OptionalDouble op = zyglls.stream().filter(x -> Objects.equals(x.getX(), sjglls.get(finalI).getX())).mapToDouble(PointVo::getY).findFirst();
  812. if (op.isPresent()) {
  813. item.setOptimalPower(op.getAsDouble());
  814. } else {
  815. item.setOptimalPower(0.0);
  816. }
  817. item.setYear(String.valueOf(year));
  818. proEconWtCurveFittingYearService.save(item);
  819. }
  820. }
  821. }
  822. //*********************************************当年曲线偏差记录**********************************************************/
  823. }
  824. private void insertPoints2(List<PointVo> monthSjglls, List<PointVo> monthZyglls, String windturbineId) {
  825. List<Integer> wtpcfidls = proEconWtPowerCurveFittingService.list().stream().filter(i -> i.getWindturbineId().equals(windturbineId)).map(ProEconWtPowerCurveFitting::getId).collect(Collectors.toList());
  826. for (int i = 0; i < wtpcfidls.size(); i++) {
  827. proEconWtPowerCurveFittingService.removeByIds(wtpcfidls);
  828. }
  829. if (monthSjglls.size() == monthZyglls.size()) {
  830. for (int i = 0; i < monthSjglls.size(); i++) {
  831. ProEconWtPowerCurveFitting item = new ProEconWtPowerCurveFitting();
  832. item.setWindturbineId(windturbineId);
  833. if (CacheContext.wtmap.containsKey(windturbineId)) {
  834. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  835. if (wt.getWindpowerstationId().contains("GDC")) {
  836. continue;
  837. // item.SPEED = Double.Truncate(pointsF1[i].X);
  838. } else {
  839. boolean l = String.valueOf(monthSjglls.get(i).getX()).contains(".");
  840. if (l) {
  841. continue;
  842. }
  843. item.setSpeed(monthSjglls.get(i).getX());
  844. }
  845. item.setActualPower(monthSjglls.get(i).getY());
  846. item.setOptimalPower(monthZyglls.get(i).getY());
  847. proEconWtPowerCurveFittingService.save(item);
  848. }
  849. }
  850. } else {
  851. logger.warn(String.format("下标不一致的风机编号:{0},实际功率:{1},最有功率:{2}", windturbineId, monthSjglls.size(), monthZyglls.size()));
  852. for (int i = 0; i < monthSjglls.size(); i++) {
  853. ProEconWtPowerCurveFitting item = new ProEconWtPowerCurveFitting();
  854. item.setWindturbineId(windturbineId);
  855. if (CacheContext.wtmap.containsKey(windturbineId)) {
  856. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  857. if (wt.getWindpowerstationId().contains("GDC")) {
  858. continue;
  859. //item.SPEED = Double.Truncate(pointsF1[i].X);
  860. } else {
  861. boolean l = String.valueOf(monthSjglls.get(i).getX()).contains(".");
  862. if (l) {
  863. continue;
  864. }
  865. item.setSpeed(monthSjglls.get(i).getX());
  866. }
  867. item.setActualPower(monthSjglls.get(i).getY());
  868. int finalI = i;
  869. OptionalDouble op = monthZyglls.stream().filter(x -> Objects.equals(x.getX(), monthSjglls.get(finalI).getX())).mapToDouble(PointVo::getY).findFirst();
  870. if (op.isPresent()) {
  871. item.setOptimalPower(op.getAsDouble());
  872. } else {
  873. item.setOptimalPower(0.0);
  874. }
  875. proEconWtPowerCurveFittingService.save(item);
  876. }
  877. }
  878. }
  879. }
  880. private void yearBuildPoints(List<ProEconWtCurveFittingYear> data, List<PointVo> points) {
  881. if (data != null) {
  882. for (ProEconWtCurveFittingYear datum : data) {
  883. PointVo point = new PointVo();
  884. point.setX(datum.getSpeed());
  885. point.setY(datum.getActualPower());
  886. points.add(point);
  887. }
  888. }
  889. }
  890. private void monthBuildPoints(List<ProEconWtCurveFittingMonth> data, List<PointVo> points) {
  891. if (data != null) {
  892. for (ProEconWtCurveFittingMonth datum : data) {
  893. PointVo point = new PointVo();
  894. point.setX(datum.getSpeed());
  895. point.setY(datum.getActualPower());
  896. points.add(point);
  897. }
  898. }
  899. }
  900. private void dayBuildPoints(List<ProEconWtCurveFitting> data, List<PointVo> points) {
  901. if (data != null) {
  902. for (ProEconWtCurveFitting datum : data) {
  903. PointVo point = new PointVo();
  904. point.setX(datum.getSpeed());
  905. point.setY(datum.getActualPower());
  906. points.add(point);
  907. }
  908. }
  909. }
  910. //曲线偏差率
  911. private double pcl(List<PointVo> points1, List<PointVo> points2, Double modelpower) {
  912. double result = -0;
  913. double pc = 0;
  914. if (points1 != null && points1.size() != 0 && points2 != null && points2.size() != 0) {
  915. double count = 0;
  916. double sum = 0;
  917. double max = modelpower;
  918. for (PointVo point : points1) {
  919. List<PointVo> item = points2.stream().filter(it -> Objects.equals(it.getX(), point.getX())).collect(Collectors.toList());
  920. if (item.size() > 0) {
  921. sum += Math.pow((point.getY() - item.get(0).getY()), 2);
  922. count++;
  923. pc += point.getY() - item.get(0).getY();
  924. }
  925. }
  926. sum = Math.sqrt(sum);
  927. count = Math.sqrt(count);
  928. max = max * count;
  929. if (max != 0) {
  930. result = sum / max * 100;
  931. }
  932. if (pc < 0) {
  933. result = 0 - result;
  934. }
  935. }
  936. return result;
  937. }
  938. //曲线偏差率2
  939. private double pcl2(List<PointVo> points1, List<PointVo> points2, Double modelpower, double speed) {
  940. double minSpeed = speed;
  941. double maxSpeed = minSpeed + 1;
  942. double result = -0;
  943. double pc = 0;
  944. if (points1 != null && points1.size() != 0 && points2 != null && points2.size() != 0) {
  945. double count = 0;
  946. double sum = 0;
  947. double max = modelpower;
  948. for (PointVo point : points1) {
  949. List<PointVo> item = points2.stream().filter(it -> Objects.equals(it.getX(), point.getX())).collect(Collectors.toList());
  950. if (item.size() > 0 && item.get(0).getX() >= minSpeed && item.get(0).getX() < maxSpeed) {
  951. sum += Math.pow((point.getY() - item.get(0).getY()), 2);
  952. count++;
  953. pc += point.getY() - item.get(0).getY();
  954. }
  955. }
  956. sum = Math.sqrt(sum);
  957. count = Math.sqrt(count);
  958. max = max * count;
  959. if (max != 0) {
  960. result = sum / max * 100;
  961. }
  962. if (pc < 0) {
  963. result = 0 - result;
  964. }
  965. }
  966. return result;
  967. }
  968. //todo-sl 添加数据筛选
  969. private boolean filterData(PointData gl, PointData fs, PointData zt, double maxvalue, String windturbineId) throws Exception {
  970. // if (StringUtils.notEmp(gl)) {
  971. // //判定功率是否超过最大值
  972. // if (gl.getPointValueInDouble() > maxvalue) {
  973. // return false;
  974. // }
  975. // }
  976. //
  977. // if (StringUtils.notEmp(fs)) {
  978. // //判定功率是否超过最大值
  979. // if (fs.getPointValueInDouble() > 25) {
  980. // return false;
  981. // }
  982. // }
  983. //
  984. // //判定状态不为运行的进行过滤
  985. // if (zt.getPointValueInDouble() != 2) {
  986. // return false;
  987. // }
  988. //
  989. //
  990. // //设置时间为10分钟前,10钟前有停机事件数据进行过滤
  991. // Calendar c = Calendar.getInstance();
  992. // c.setTimeInMillis(zt.getPointTime());
  993. // Date end = c.getTime();
  994. // c.add(Calendar.MINUTE, -10);
  995. // Date bedin = c.getTime();
  996. // List<PointData> points = edosUtil.getHistoryDatasSnap(zt.getEdnaId(), bedin.getTime() / 1000, end.getTime() / 1000);
  997. // if (!points.isEmpty()) {
  998. // for (PointData p : points) {
  999. // if (p.getPointValueInDouble() == 4) {
  1000. //
  1001. // return false;
  1002. // }
  1003. //
  1004. // }
  1005. //
  1006. // }
  1007. //
  1008. // //设置时间为10分钟后,运行后10分钟数据进行过滤
  1009. // c = Calendar.getInstance();
  1010. // c.setTimeInMillis(zt.getPointTime());
  1011. // bedin = c.getTime();
  1012. // c.add(Calendar.MINUTE, 10);
  1013. // end = c.getTime();
  1014. // points = edosUtil.getHistoryDatasSnap(zt.getEdnaId(), bedin.getTime() / 1000, end.getTime() / 1000);
  1015. // if (!points.isEmpty()) {
  1016. // for (PointData p : points) {
  1017. // if (p.getPointValueInDouble() != 2) {
  1018. // return false;
  1019. //
  1020. // }
  1021. //
  1022. // }
  1023. //
  1024. // }
  1025. // Map<String, Map<String, ProBasicEquipmentPoint>> wtpAimap = CacheContext.wtpAimap;
  1026. // Map<String, ProBasicEquipmentPoint> wtpointmap = wtpAimap.get(windturbineId);
  1027. // //与保证功率进行对比,偏差大于25%的进行过滤
  1028. // List<String> pointid = new ArrayList<>();
  1029. //
  1030. // pointid.add(wtpointmap.get(ContantXk.BZGL).getNemCode());
  1031. // List<PointData> value = edosUtil.getHistMatrix(pointid, gl.getPointTime() / 1000);
  1032. //
  1033. //
  1034. // if (null != value && value.size() > 0) {
  1035. // double bzgl = value.get(0).getPointValueInDouble();
  1036. // double sjgl = gl.getPointValueInDouble();
  1037. //
  1038. // double temp = Math.abs(sjgl - bzgl);
  1039. // if (temp > sjgl * 0.25) {
  1040. // return false;
  1041. // }
  1042. // }
  1043. //
  1044. // //欠发状态大于2过滤掉
  1045. // pointid = new ArrayList<>();
  1046. //
  1047. // pointid.add(wtpointmap.get(ContantXk.LSQFZT).getNemCode());
  1048. // value = edosUtil.getHistMatrix(pointid, gl.getPointTime() / 1000);
  1049. // if (null != value && value.size() > 0) {
  1050. // double qfzt = value.get(0).getPointValueInDouble();
  1051. //
  1052. // return !(qfzt > 2);
  1053. // }
  1054. return true;
  1055. }
  1056. //功率曲线拟合
  1057. public void curveFittingBuilder(Date begin, Date end, int dimension, double scale, String pointIdGL, String pointIdFS, String pointIdZT, List<PointVo> sjglPoints, List<PointVo> zyglPoints, String windturbineId) throws Exception {
  1058. double maxPower = windturbineCapacity.get(windturbineId) * 1.3;
  1059. List<PointfVo> sjglnhpoints = new ArrayList<>();
  1060. Map<Double, PointfVo> zyglnhpoints = new HashMap<>();
  1061. if (end.after(begin)) {
  1062. if (StringUtils.notEmp(pointIdGL) && StringUtils.notEmp(pointIdFS)) {
  1063. List<PointData> glpointstemp = edosUtil.getHistoryDatasSnap(pointIdGL, begin.getTime() / 1000, end.getTime() / 1000);
  1064. List<PointData> fspointstemp = edosUtil.getHistoryDatasSnap(pointIdFS, begin.getTime() / 1000, end.getTime() / 1000);
  1065. List<PointData> ztpointstemp = edosUtil.getHistoryDatasSnap(pointIdZT, begin.getTime() / 1000, end.getTime() / 1000);
  1066. List<PointData> glpoints = new ArrayList<>();
  1067. List<PointData> fspoints = new ArrayList<>();
  1068. List<PointData> ztpoints = new ArrayList<>();
  1069. if (!glpointstemp.isEmpty() && !fspointstemp.isEmpty() && !ztpointstemp.isEmpty() && glpointstemp.size() == fspointstemp.size() && fspointstemp.size() == ztpointstemp.size()) {
  1070. for (int i = 0; i < glpointstemp.size(); i++) {
  1071. if (filterData(glpointstemp.get(i), fspointstemp.get(i), ztpointstemp.get(i), maxPower, windturbineId)) {
  1072. glpoints.add(glpointstemp.get(i));
  1073. fspoints.add(fspointstemp.get(i));
  1074. ztpoints.add(ztpointstemp.get(i));
  1075. }
  1076. }
  1077. }
  1078. if (glpoints.size() != fspoints.size() || glpoints.size() != ztpoints.size()) {
  1079. for (int i = 0; i < fspoints.size(); i++) {
  1080. double x = fspoints.get(i).getPointValueInDouble();
  1081. double y = -1;
  1082. double z = -1;
  1083. int finalI1 = i;
  1084. List<PointData> yArray = glpoints.stream().filter(it -> it.getPointTime().compareTo(fspoints.get(finalI1).getPointTime()) == 0).collect(Collectors.toList());
  1085. if (yArray.size() > 0) {
  1086. y = yArray.get(0).getPointValueInDouble();
  1087. }
  1088. int finalI = i;
  1089. yArray = ztpoints.stream().filter(it -> it.getPointTime().compareTo(fspoints.get(finalI).getPointTime()) == 0).collect(Collectors.toList());
  1090. if (yArray.size() > 0) {
  1091. z = yArray.get(0).getPointValueInDouble();
  1092. }
  1093. Double x1 = StringUtils.round(x, 2);
  1094. Double y1 = y;
  1095. boolean b = true;
  1096. if (CacheContext.wtmap.containsKey(windturbineId)) {
  1097. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  1098. if (wt.getWindpowerstationId().contains("GDC")) {
  1099. b = (x >= 0 && y > 0);
  1100. } else {
  1101. if (z == 2) {
  1102. b = (x >= 0 && x <= 30 && y >= 0 && y <= maxPower);
  1103. if (b) {
  1104. if (x > 3 && y <= 0) {
  1105. b = false;
  1106. }
  1107. if (x <= 3 && y > 0) {
  1108. b = false;
  1109. }
  1110. }
  1111. } else {
  1112. b = false;
  1113. }
  1114. }
  1115. }
  1116. if (b) {
  1117. sjglnhpoints.add(new PointfVo(x1, y1));
  1118. if (zyglnhpoints.containsKey(x1)) {
  1119. if (zyglnhpoints.get(x1).getY() < y1) {
  1120. zyglnhpoints.put(x1, new PointfVo(x1, y1));
  1121. }
  1122. } else {
  1123. zyglnhpoints.put(x1, new PointfVo(x1, y1));
  1124. }
  1125. }
  1126. }
  1127. } else {
  1128. for (int i = 0; i < fspoints.size(); i++) {
  1129. double x = fspoints.get(i).getPointValueInDouble();
  1130. double y = glpoints.get(i).getPointValueInDouble();
  1131. double z = ztpoints.get(i).getPointValueInDouble();
  1132. Double x1 = StringUtils.round(x, 2);
  1133. Double y1 = y;
  1134. boolean b = true;
  1135. if (CacheContext.wtmap.containsKey(windturbineId)) {
  1136. ProBasicEquipment wt = CacheContext.wtmap.get(windturbineId);
  1137. if (wt.getWindpowerstationId().contains("GDC")) {
  1138. b = (x >= 0 && y > 0);
  1139. } else {
  1140. if (z == 2) {
  1141. b = (x >= 0 && x <= 30 && y >= 0 && y <= maxPower);
  1142. if (b) {
  1143. if (x > 3 && y <= 0) {
  1144. b = false;
  1145. }
  1146. if (x <= 3 && y > 0) {
  1147. b = false;
  1148. }
  1149. }
  1150. } else {
  1151. b = false;
  1152. }
  1153. }
  1154. }
  1155. if (b) {
  1156. sjglnhpoints.add(new PointfVo(x1, y1));
  1157. if (zyglnhpoints.containsKey(x1)) {
  1158. if (zyglnhpoints.get(x1).getY() < y1) {
  1159. zyglnhpoints.put(x1, new PointfVo(x1, y1));
  1160. }
  1161. } else {
  1162. zyglnhpoints.put(x1, new PointfVo(x1, y1));
  1163. }
  1164. }
  1165. }
  1166. }
  1167. sjglnhpoints.add(new PointfVo(0.0, 0.0));
  1168. sjglnhpoints = sjglnhpoints.stream().filter(it -> it.getX() >= 3).sorted(Comparator.comparing(PointfVo::getX)).collect(Collectors.toList());
  1169. if (sjglnhpoints.stream().min(Comparator.comparing(PointfVo::getX)).isPresent()) {
  1170. double Xmax = sjglnhpoints.stream().max(Comparator.comparing(PointfVo::getX)).get().getX();
  1171. double Ymax = sjglnhpoints.stream().max(Comparator.comparing(PointfVo::getX)).get().getY();
  1172. System.out.println("");
  1173. }
  1174. List<PointVo> temp = LineUtil.buildLine(sjglnhpoints.stream().mapToDouble(PointfVo::getX).toArray(), sjglnhpoints.stream().mapToDouble(PointfVo::getY).toArray(), sjglnhpoints.size(), dimension, scale);
  1175. sjglPoints.addAll(temp);
  1176. if (sjglPoints.size() != 0) {
  1177. buildMyPoints(sjglPoints, scale);
  1178. }
  1179. if (!zyglnhpoints.containsKey(0.0))
  1180. zyglnhpoints.put(0.0, new PointfVo(0.0, 0.0));
  1181. List<PointfVo> zygltemp = zyglnhpoints.values().stream().filter(it -> it.getX() >= 3).sorted(Comparator.comparing(PointfVo::getX)).collect(Collectors.toList());
  1182. if (zygltemp.size() != 0) {
  1183. temp = LineUtil.buildLine(zygltemp.stream().mapToDouble(PointfVo::getX).toArray(), zygltemp.stream().mapToDouble(PointfVo::getY).toArray(), zygltemp.size(), dimension, scale);
  1184. }
  1185. zyglPoints.addAll(temp);
  1186. if (zyglPoints.size() != 0) {
  1187. buildMyPoints(zyglPoints, scale);
  1188. }
  1189. }
  1190. }
  1191. }
  1192. private static void buildMyPoints(List<PointVo> sjglPoints, double scale) {
  1193. int coefficient = 1;
  1194. int dec = 0;
  1195. int smax = 25;
  1196. if (scale == 0.01) {
  1197. coefficient = 100;
  1198. dec = 2;
  1199. }
  1200. if (scale == 0.1) {
  1201. coefficient = 10;
  1202. dec = 1;
  1203. }
  1204. smax *= coefficient;
  1205. double min = 0.0;
  1206. double max = 0.0;
  1207. double maxval = 0.0;
  1208. if (sjglPoints.stream().min(Comparator.comparing(PointVo::getX)).isPresent()) {
  1209. min = sjglPoints.stream().min(Comparator.comparing(PointVo::getX)).get().getX() * coefficient;
  1210. }
  1211. if (sjglPoints.stream().max(Comparator.comparing(PointVo::getX)).isPresent()) {
  1212. max = sjglPoints.stream().max(Comparator.comparing(PointVo::getX)).get().getX() * coefficient;
  1213. }
  1214. if (sjglPoints.stream().max(Comparator.comparing(PointVo::getY)).isPresent()) {
  1215. maxval = sjglPoints.stream().max(Comparator.comparing(PointVo::getY)).get().getY();
  1216. }
  1217. for (double i = 0; i < min; i += 1) {
  1218. PointVo point = new PointVo();
  1219. point.setX(StringUtils.round(i / coefficient, dec));
  1220. point.setY(0.0);
  1221. sjglPoints.add(point);
  1222. }
  1223. for (double i = smax; i > max; i -= 1) {
  1224. PointVo point = new PointVo();
  1225. point.setX(StringUtils.round(i / coefficient, dec));
  1226. point.setY(maxval);
  1227. sjglPoints.add(point);
  1228. }
  1229. }
  1230. }