| | |
| | | package com.moral.api.service.impl; |
| | | |
| | | import com.alibaba.fastjson.JSON; |
| | | import com.alibaba.fastjson.JSONArray; |
| | | import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; |
| | | import com.moral.api.config.properties.SpecialCitiesProperties; |
| | | import com.moral.api.entity.CityAqi; |
| | | import com.moral.api.entity.CityAqiDaily; |
| | | import com.moral.api.entity.CityAqiYearly; |
| | | import com.moral.api.entity.SysArea; |
| | | import com.moral.api.mapper.CityAqiYearlyMapper; |
| | | import com.moral.api.pojo.dto.cityAQI.CityPollutionLevel; |
| | | import com.moral.api.pojo.dto.cityAQI.ComplianceDaysDTO; |
| | | import com.moral.api.pojo.dto.cityAQI.DataPercentRange; |
| | | import com.moral.api.pojo.vo.cityAQI.ComplianceDaysVO; |
| | | import com.moral.api.service.CityAqiDailyService; |
| | | import com.moral.api.service.CityAqiYearlyService; |
| | | import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; |
| | | import com.moral.api.service.SysAreaService; |
| | | import com.moral.constant.Constants; |
| | | import com.moral.util.AQIUtils; |
| | | import com.moral.util.AmendUtils; |
| | | import com.moral.util.DateUtils; |
| | | import com.moral.util.MathUtils; |
| | | import org.springframework.beans.factory.annotation.Autowired; |
| | | import org.springframework.stereotype.Service; |
| | | import org.springframework.util.ObjectUtils; |
| | | |
| | | import java.text.DateFormat; |
| | | import java.text.SimpleDateFormat; |
| | | import java.util.*; |
| | | |
| | | /** |
| | | * <p> |
| | |
| | | @Service |
| | | public class CityAqiYearlyServiceImpl extends ServiceImpl<CityAqiYearlyMapper, CityAqiYearly> implements CityAqiYearlyService { |
| | | |
| | | @Autowired |
| | | CityAqiYearlyMapper cityAqiYearlyMapper; |
| | | @Autowired |
| | | SpecialCitiesProperties specialCitiesProperties; |
| | | @Autowired |
| | | SysAreaService sysAreaService; |
| | | @Autowired |
| | | CityAqiDailyService cityAqiDailyService; |
| | | |
| | | @Override |
| | | public List<CityAqiYearly> getCityAqiYearlyByRegionCodeAndTime(Integer regionCode, Date startDate, Date endDate) { |
| | | QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>(); |
| | | queryWrapper.eq("city_code", regionCode); |
| | | queryWrapper.between("time", startDate, endDate); |
| | | return cityAqiYearlyMapper.selectList(queryWrapper); |
| | | } |
| | | |
| | | @Override |
| | | public Map<String, DataPercentRange> analysisPollutionLevel(String year, Integer cityCode) { |
| | | //判断是否为今年,如果是今年则使用日数据进行查询,否则使用年数据 |
| | | boolean thisYear = isThisYear(year); |
| | | //获取开始结束时间 |
| | | Date yearDate = DateUtils.getDate(year, "yyyy"); |
| | | Date startDate = DateUtils.getFirstDayOfYear(yearDate); |
| | | Date endDate; |
| | | if (thisYear) |
| | | endDate = DateUtils.addDays(new Date(), -1); |
| | | else |
| | | endDate = DateUtils.getLastDayOfYear(yearDate); |
| | | //判断是否属于2+26城市 |
| | | List<SysArea> twentyEightCities = null; |
| | | if (specialCitiesProperties.isTwentyEightCities(cityCode)) |
| | | twentyEightCities = specialCitiesProperties.getTwentyEightCities(); |
| | | //判断是否属于河北通道城市 |
| | | List<SysArea> heBeiEightCities = null; |
| | | if (specialCitiesProperties.isHeBeiEightCities(cityCode)) |
| | | heBeiEightCities = specialCitiesProperties.getHeBeiEightCities(); |
| | | //获取市所在省的所有城市 |
| | | //如果是直辖市则不需要排名 |
| | | List<SysArea> cities = null; |
| | | if (!cityCode.toString().substring(2).equals("0000")) { |
| | | String provinceCode = cityCode.toString().substring(0, 2) + "0000"; |
| | | cities = sysAreaService.getChildren(Integer.parseInt(provinceCode)); |
| | | } |
| | | //获取城市 |
| | | SysArea city = sysAreaService.getAreaByCode(cityCode); |
| | | //计算优良天数 |
| | | DataPercentRange fineDays = calculateFineDays(cities, twentyEightCities, heBeiEightCities, startDate, endDate, city); |
| | | //计算6参以及综合指数排名 |
| | | Map<String, DataPercentRange> sixParamMap = calculateSixParam(thisYear, startDate, endDate, city, cities, twentyEightCities, heBeiEightCities); |
| | | Map<String, DataPercentRange> result = new HashMap<>(); |
| | | if (fineDays != null) |
| | | result.put("fineDays", fineDays); |
| | | if (sixParamMap != null) |
| | | result.putAll(sixParamMap); |
| | | if (result.size() == 0) |
| | | return null; |
| | | return result; |
| | | } |
| | | |
| | | @Override |
| | | public List<ComplianceDaysDTO> analysisComplianceDays(String year, Integer cityCode) { |
| | | List<ComplianceDaysDTO> dtos = new ArrayList<>(); |
| | | //获取指定年份开始结束时间 |
| | | Date posYear = DateUtils.getDate(year, "yyyy"); |
| | | Date posYearStartDate = DateUtils.getFirstDayOfYear(posYear); |
| | | Date posYearEndDate = DateUtils.getLastDayOfYear(posYear); |
| | | //获取同比年份开始结束时间 |
| | | String comYearStr = (Integer.parseInt(year)-1)+""; |
| | | Date comYear = DateUtils.getDate(comYearStr,"yyyy"); |
| | | Date comYearStartDate = DateUtils.getFirstDayOfYear(comYear); |
| | | Date comYearEndDate = DateUtils.getLastDayOfYear(comYear); |
| | | //查询指定年和同比年的数据 |
| | | List<CityAqiDaily> posYearDatas = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(cityCode, posYearStartDate, posYearEndDate); |
| | | List<CityAqiDaily> comYearDatas = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(cityCode, comYearStartDate, comYearEndDate); |
| | | //计算指定年份最大月份 |
| | | int month = maxMonth(posYearDatas); |
| | | if(month==0) |
| | | return dtos; |
| | | //循环计算每个月的数据 |
| | | for (int i = 1; i <= month; i++) { |
| | | ComplianceDaysDTO dto = analysisComplianceDaysForMonth(posYearDatas, comYearDatas, i); |
| | | dtos.add(dto); |
| | | } |
| | | return dtos; |
| | | } |
| | | |
| | | //计算每个月的达标天数统计分析数据 |
| | | private ComplianceDaysDTO analysisComplianceDaysForMonth(List<CityAqiDaily> posYearDatas, |
| | | List<CityAqiDaily> comYearDatas, |
| | | int month){ |
| | | ComplianceDaysDTO dto = new ComplianceDaysDTO(); |
| | | //取出指定月份数据 |
| | | List<CityAqiDaily> posMonthDatas = new ArrayList<>(); |
| | | List<CityAqiDaily> comMonthDatas = new ArrayList<>(); |
| | | for (CityAqiDaily posYearData : posYearDatas) { |
| | | Date time = posYearData.getTime(); |
| | | if(DateUtils.getMonth(time)==month) |
| | | posMonthDatas.add(posYearData); |
| | | } |
| | | for (CityAqiDaily comYearData : comYearDatas) { |
| | | Date time = comYearData.getTime(); |
| | | if(DateUtils.getMonth(time)==month) |
| | | comMonthDatas.add(comYearData); |
| | | } |
| | | //计算指定年份对应的月份数据 |
| | | for (CityAqiDaily posMonthData : posMonthDatas) { |
| | | //获取数据 |
| | | Map<String,String> dataMap = JSON.parseObject(posMonthData.getValue(),Map.class); |
| | | String aqi = String.valueOf(dataMap.get("AQI")); |
| | | String PM2_5 = String.valueOf(dataMap.get("PM2_5")); |
| | | String PM10 = String.valueOf(dataMap.get("PM10")); |
| | | String SO2 = String.valueOf(dataMap.get("SO2")); |
| | | String NO2 = String.valueOf(dataMap.get("NO2")); |
| | | String O3 = String.valueOf(dataMap.get("O3")); |
| | | String CO = String.valueOf(dataMap.get("CO")); |
| | | //判断aqi以及6因子是否达标 |
| | | if(aqi!=null){ |
| | | if(AQIUtils.aqiIsStandard(Integer.parseInt(aqi))) |
| | | dto.setAqiComplianceDays(dto.getAqiComplianceDays()+1); |
| | | } |
| | | if(PM2_5!=null){ |
| | | if(!AQIUtils.PM2_5IsStandard(Double.parseDouble(PM2_5))) |
| | | dto.setPM2_5Days(dto.getPM2_5Days()+1); |
| | | } |
| | | if(PM10!=null){ |
| | | if(!AQIUtils.PM10IsStandard(Double.parseDouble(PM10))) |
| | | dto.setPM10Days(dto.getPM10Days()+1); |
| | | } |
| | | if(SO2!=null){ |
| | | if(!AQIUtils.SO2IsStandard(Double.parseDouble(SO2))) |
| | | dto.setSO2Days(dto.getSO2Days()+1); |
| | | } |
| | | if(NO2!=null){ |
| | | if(!AQIUtils.NO2IsStandard(Double.parseDouble(NO2))) |
| | | dto.setNO2Days(dto.getNO2Days()+1); |
| | | } |
| | | if(O3!=null){ |
| | | if(!AQIUtils.O3IsStandard(Double.parseDouble(O3))) |
| | | dto.setO3Days(dto.getO3Days()+1); |
| | | } |
| | | if(CO!=null){ |
| | | if(!AQIUtils.COIsStandard(Double.parseDouble(CO))) |
| | | dto.setCODays(dto.getCODays()+1); |
| | | } |
| | | //获取首要污染物 |
| | | Object primaryPollutantO = dataMap.get("primaryPollutant"); |
| | | if(primaryPollutantO!=null){ |
| | | JSONArray primaryPollutantArray = (JSONArray) primaryPollutantO; |
| | | List<String> primaryPollutant = JSON.parseObject(primaryPollutantArray.toJSONString(),List.class); |
| | | for (String s : primaryPollutant) { |
| | | if(s.equals("PM2.5")) |
| | | dto.setPM2_5FirstDays(dto.getPM2_5FirstDays()+1); |
| | | if(s.equals("PM10")) |
| | | dto.setPM10FirstDays(dto.getPM10FirstDays()+1); |
| | | if(s.equals("SO2")) |
| | | dto.setSO2FirstDays(dto.getSO2FirstDays()+1); |
| | | if(s.equals("NO2")) |
| | | dto.setNO2FirstDays(dto.getNO2FirstDays()+1); |
| | | if(s.equals("CO")) |
| | | dto.setCOFirstDays(dto.getCOFirstDays()+1); |
| | | if(s.equals("O3")) |
| | | dto.setO3FirstDays(dto.getO3FirstDays()+1); |
| | | } |
| | | } |
| | | } |
| | | //计算同期对比数据 |
| | | for (CityAqiDaily comMonthData : comMonthDatas) { |
| | | //获取数据 |
| | | Map<String,String> dataMap = JSON.parseObject(comMonthData.getValue(),Map.class); |
| | | String aqi = String.valueOf(dataMap.get("AQI")); |
| | | //判断aqi是否达标 |
| | | if(aqi!=null){ |
| | | if(AQIUtils.aqiIsStandard(Integer.parseInt(aqi))) |
| | | dto.setComAqiComplianceDays(dto.getComAqiComplianceDays()+1); |
| | | } |
| | | } |
| | | //计算指定年份和同期年份达标率 |
| | | Double posAqiComplianceDays = Double.parseDouble(dto.getAqiComplianceDays()+""); |
| | | Double posDays = Double.parseDouble(posMonthDatas.size()+""); |
| | | Double comAqiComplianceDays = Double.parseDouble(dto.getComAqiComplianceDays()+""); |
| | | Double comDays = Double.parseDouble(comMonthDatas.size()+""); |
| | | if(posDays==0d) |
| | | dto.setAqiCompliancePer(0d); |
| | | else |
| | | dto.setAqiCompliancePer(MathUtils.division(posAqiComplianceDays*100,posDays,2)); |
| | | |
| | | if(comDays==0d) |
| | | dto.setComAqiCompliancePer(0d); |
| | | else |
| | | dto.setComAqiCompliancePer(MathUtils.division(comAqiComplianceDays*100,comDays,2)); |
| | | |
| | | dto.setMonth(month); |
| | | return dto; |
| | | } |
| | | |
| | | |
| | | |
| | | |
| | | //计算优良天数和同比以及省内,28城市,省内通道的排名。 |
| | | private DataPercentRange calculateFineDays(List<SysArea> provinceCities, |
| | | List<SysArea> twentyEightCities, |
| | | List<SysArea> heBeiEightCities, |
| | | Date startDate, |
| | | Date endDate, |
| | | SysArea city) { |
| | | DataPercentRange dataPercentRange = new DataPercentRange(); |
| | | |
| | | //查询优良天气数 |
| | | CityPollutionLevel cityPollutionLevel = cityAqiDailyService.calculateDaysByTimeAndSysArea(city, startDate, endDate); |
| | | if (cityPollutionLevel == null) |
| | | return null; |
| | | Integer fineDays = cityPollutionLevel.getExcellentWeatherDays() + cityPollutionLevel.getGoodWeatherDays(); |
| | | //计算同比数据 |
| | | Date compareStartDate = DateUtils.addMonths(startDate, -12); |
| | | Date compareEndDate = DateUtils.addMonths(endDate, -12); |
| | | CityPollutionLevel cityPollutionLevelCompare = cityAqiDailyService.calculateDaysByTimeAndSysArea(city, compareStartDate, compareEndDate); |
| | | String percent = null; |
| | | if (cityPollutionLevelCompare != null) { |
| | | Integer compareFineDays = cityPollutionLevelCompare.getExcellentWeatherDays() + cityPollutionLevelCompare.getGoodWeatherDays(); |
| | | Integer percentInt = fineDays - compareFineDays; |
| | | if (percentInt > 0) { |
| | | percent = "+" + percentInt + " 天"; |
| | | } else { |
| | | percent = percentInt + " 天"; |
| | | } |
| | | |
| | | } |
| | | //计算省内排名 |
| | | Integer provinceRange = null; |
| | | if (provinceCities != null) |
| | | provinceRange = calculateFineDaysRange(provinceCities, city, startDate, endDate); |
| | | //计算2+26城市排名 |
| | | Integer twentyEightRange = null; |
| | | if (twentyEightCities != null) |
| | | twentyEightRange = calculateFineDaysRange(twentyEightCities, city, startDate, endDate); |
| | | //计算河北省内通道排名 |
| | | Integer provinceChannelRange = null; |
| | | if (heBeiEightCities != null) |
| | | provinceChannelRange = calculateFineDaysRange(heBeiEightCities, city, startDate, endDate); |
| | | dataPercentRange.setConcentration(fineDays + " 天"); |
| | | dataPercentRange.setProvinceChannelRange(provinceChannelRange); |
| | | dataPercentRange.setTwentyEightCitiesRange(twentyEightRange); |
| | | dataPercentRange.setProvinceRange(provinceRange); |
| | | dataPercentRange.setPercent(percent); |
| | | return dataPercentRange; |
| | | } |
| | | |
| | | |
| | | //计算六参以及综指平均浓度以及同比数据和排名情况 |
| | | private Map<String, DataPercentRange> calculateSixParam(boolean thisYear, |
| | | Date startDate, |
| | | Date endDate, |
| | | SysArea city, |
| | | List<SysArea> provinceCities, |
| | | List<SysArea> twentyEightCities, |
| | | List<SysArea> heBeiEightCities) { |
| | | Integer cityCode = city.getAreaCode(); |
| | | Map<String, DataPercentRange> result = new HashMap<>(); |
| | | //查询平均浓度,判断是否为今年,如果不是今年则用年数据进行计算,是今年则用天数据进行计算 |
| | | Map<String, Double> concentration = getConcentration(thisYear, startDate, endDate, cityCode); |
| | | if (concentration == null) |
| | | return null; |
| | | //查询同比数据 |
| | | Date compareStartDate = DateUtils.addMonths(startDate, -12); |
| | | Date compareEndDate = DateUtils.addMonths(endDate, -12); |
| | | Map<String, Double> compareCentration = getConcentration(thisYear, compareStartDate, compareEndDate, cityCode); |
| | | //计算6参以及综指同比结果 |
| | | Map<String, String> compareResult = null; |
| | | if (compareCentration != null) |
| | | compareResult = calculateSixParamYOY(concentration, compareCentration); |
| | | //计算省内排名 |
| | | Map<String, Integer> provinceRangeResult = null; |
| | | if (provinceCities != null) |
| | | provinceRangeResult = sixParamRange(provinceCities, city, startDate, endDate, thisYear); |
| | | //计算2+26排名 |
| | | Map<String, Integer> twentyEightRangeResult = null; |
| | | if (twentyEightCities != null) |
| | | twentyEightRangeResult = sixParamRange(twentyEightCities, city, startDate, endDate, thisYear); |
| | | //计算省内通道排名 |
| | | Map<String, Integer> provinceChannelRangeResult = null; |
| | | if (heBeiEightCities != null) |
| | | provinceChannelRangeResult = sixParamRange(heBeiEightCities, city, startDate, endDate, thisYear); |
| | | //封装返回数据 |
| | | DataPercentRange pm2_5 = new DataPercentRange(); |
| | | pm2_5.setConcentration(concentration.get("PM2_5").intValue() + " μg/m³"); |
| | | DataPercentRange PM2_5 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM2_5", 0, "μg/m³"); |
| | | DataPercentRange PM10 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM10", 0, "μg/m³"); |
| | | DataPercentRange SO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "SO2", 0, "μg/m³"); |
| | | DataPercentRange NO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "NO2", 0, "μg/m³"); |
| | | DataPercentRange O3 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "O3", 0, "μg/m³"); |
| | | DataPercentRange CO = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "CO", 1, "mg/m³"); |
| | | DataPercentRange compositeIndex = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "compositeIndex", 3, ""); |
| | | result.put("PM2_5", PM2_5); |
| | | result.put("PM10", PM10); |
| | | result.put("SO2", SO2); |
| | | result.put("NO2", NO2); |
| | | result.put("O3", O3); |
| | | result.put("CO", CO); |
| | | result.put("compositeIndex", compositeIndex); |
| | | return result; |
| | | } |
| | | |
| | | //打包六参以及综合指数数据对象 |
| | | private DataPercentRange packageSixParam(Map<String, Double> concentration,//对应浓度/天数 |
| | | Map<String, String> compareResult,//同比结果 |
| | | Map<String, Integer> provinceRange,//省内排名 |
| | | Map<String, Integer> twentyEightRange,//2+26排名 |
| | | Map<String, Integer> heBeiEightCitiesRange,//省内通道排名 |
| | | String sensor,//因子 |
| | | int decimal,//保留小数位 |
| | | String unit)//单位 |
| | | { |
| | | DataPercentRange data = new DataPercentRange(); |
| | | if (decimal == 0) |
| | | data.setConcentration(concentration.get(sensor).intValue() + " " + unit); |
| | | else |
| | | data.setConcentration(AmendUtils.sciCal(concentration.get(sensor), decimal) + " " + unit); |
| | | if (compareResult != null) |
| | | data.setPercent(compareResult.get(sensor)); |
| | | if (provinceRange != null) |
| | | data.setProvinceRange(provinceRange.get(sensor)); |
| | | if (twentyEightRange != null) |
| | | data.setTwentyEightCitiesRange(twentyEightRange.get(sensor)); |
| | | if (heBeiEightCitiesRange != null) |
| | | data.setProvinceChannelRange(heBeiEightCitiesRange.get(sensor)); |
| | | return data; |
| | | } |
| | | |
| | | //计算六参和综合指数排名 |
| | | private Map<String, Integer> sixParamRange(List<SysArea> cities, SysArea posCity, Date startDate, Date endDate, boolean thisYear) { |
| | | Map<String, Double> pm2_5Map = new HashMap<>(); |
| | | Map<String, Double> pm10Map = new HashMap<>(); |
| | | Map<String, Double> so2Map = new HashMap<>(); |
| | | Map<String, Double> no2Map = new HashMap<>(); |
| | | Map<String, Double> o3Map = new HashMap<>(); |
| | | Map<String, Double> coMap = new HashMap<>(); |
| | | Map<String, Double> compositeIndexMap = new HashMap<>(); |
| | | |
| | | for (SysArea city : cities) { |
| | | Map<String, Double> concentration = getConcentration(thisYear, startDate, endDate, city.getAreaCode()); |
| | | if (concentration == null) |
| | | continue; |
| | | Object pm2_5o = concentration.get("PM2_5"); |
| | | pm2_5Map.put(city.getAreaCode().toString(), Double.valueOf(pm2_5o.toString())); |
| | | |
| | | Object pm10o = concentration.get("PM10"); |
| | | pm10Map.put(city.getAreaCode().toString(), Double.valueOf(pm10o.toString())); |
| | | |
| | | Object so2o = concentration.get("SO2"); |
| | | so2Map.put(city.getAreaCode().toString(), Double.valueOf(so2o.toString())); |
| | | |
| | | Object no2o = concentration.get("NO2"); |
| | | no2Map.put(city.getAreaCode().toString(), Double.valueOf(no2o.toString())); |
| | | |
| | | Object o3o = concentration.get("O3"); |
| | | o3Map.put(city.getAreaCode().toString(), Double.valueOf(o3o.toString())); |
| | | |
| | | Object coo = concentration.get("CO"); |
| | | coMap.put(city.getAreaCode().toString(), Double.valueOf(coo.toString())); |
| | | |
| | | Object concentrationo = concentration.get("compositeIndex"); |
| | | compositeIndexMap.put(city.getAreaCode().toString(), Double.valueOf(concentrationo.toString())); |
| | | } |
| | | Map<String, Integer> result = new HashMap<>(); |
| | | result.put("PM2_5", rangeMap(pm2_5Map, posCity.getAreaCode().toString())); |
| | | result.put("SO2", rangeMap(so2Map, posCity.getAreaCode().toString())); |
| | | result.put("NO2", rangeMap(no2Map, posCity.getAreaCode().toString())); |
| | | result.put("CO", rangeMap(coMap, posCity.getAreaCode().toString())); |
| | | result.put("O3", rangeMap(o3Map, posCity.getAreaCode().toString())); |
| | | result.put("PM10", rangeMap(pm10Map, posCity.getAreaCode().toString())); |
| | | result.put("compositeIndex", rangeMap(compositeIndexMap, posCity.getAreaCode().toString())); |
| | | return result; |
| | | } |
| | | |
| | | //根域map的value进行升序排序,获取排名 |
| | | private Integer rangeMap(Map<String, Double> map, String cityCode) { |
| | | Set<Map.Entry<String, Double>> entries = map.entrySet(); |
| | | List<Map.Entry<String, Double>> list = new ArrayList<>(entries); |
| | | list.sort(Comparator.comparing(value -> value.getValue())); |
| | | for (Map.Entry<String, Double> entry : list) { |
| | | if (cityCode.equals(entry.getKey())) |
| | | return list.indexOf(entry) + 1; |
| | | } |
| | | return null; |
| | | } |
| | | |
| | | |
| | | //计算六参和综合指数同期对比结果 |
| | | private Map<String, String> calculateSixParamYOY(Map<String, Double> dataMap, Map<String, Double> compareDataMap) { |
| | | Map<String, String> result = new HashMap<>(); |
| | | |
| | | Double pm2_5 = calculateSensorYOY(dataMap, compareDataMap, "PM2_5"); |
| | | if (pm2_5 != null) |
| | | result.put("PM2_5", pm2_5.intValue() > 0 ? "+" + pm2_5.intValue() + " μg/m³" : pm2_5.intValue() + " μg/m³"); |
| | | |
| | | Double pm10 = calculateSensorYOY(dataMap, compareDataMap, "PM10"); |
| | | if (pm10 != null) |
| | | result.put("PM10", pm10.intValue() > 0 ? "+" + pm10.intValue() + " μg/m³" : pm10.intValue() + " μg/m³"); |
| | | |
| | | Double so2 = calculateSensorYOY(dataMap, compareDataMap, "SO2"); |
| | | if (so2 != null) |
| | | result.put("SO2", so2.intValue() > 0 ? "+" + so2.intValue() + " μg/m³" : so2.intValue() + " μg/m³"); |
| | | |
| | | |
| | | Double no2 = calculateSensorYOY(dataMap, compareDataMap, "NO2"); |
| | | if (no2 != null) |
| | | result.put("NO2", no2.intValue() > 0 ? "+" + no2.intValue() + " μg/m³" : no2.intValue() + " μg/m³"); |
| | | |
| | | |
| | | Double o3 = calculateSensorYOY(dataMap, compareDataMap, "O3"); |
| | | if (o3 != null) |
| | | result.put("O3", o3.intValue() > 0 ? "+" + o3.intValue() + " μg/m³" : o3.intValue() + " μg/m³"); |
| | | |
| | | |
| | | Double co = calculateSensorYOY(dataMap, compareDataMap, "CO"); |
| | | if (co != null) { |
| | | co = AmendUtils.sciCal(co, 1); |
| | | result.put("CO", co.intValue() > 0 ? "+" + co.intValue() + " mg/m³" : co.intValue() + " mg/m³"); |
| | | } |
| | | |
| | | //计算综合指数同比数据 |
| | | Object compositeIndexO = dataMap.get("compositeIndex"); |
| | | Object compareCompositeIndexO = compareDataMap.get("compositeIndex"); |
| | | Double compositeIndex = Double.valueOf(compositeIndexO.toString()); |
| | | Double compareCompositeIndex = Double.valueOf(compareCompositeIndexO.toString()); |
| | | if (compositeIndex != null && compareCompositeIndex != null) { |
| | | Double compareResult = MathUtils.division(compositeIndex - compareCompositeIndex, compareCompositeIndex, 3); |
| | | compareResult = MathUtils.mul(compareResult, 100); |
| | | result.put("compositeIndex", compareResult > 0 ? "+" + compareResult + " %" : compareResult + " %"); |
| | | } |
| | | if (result.size() != 7) |
| | | return null; |
| | | |
| | | return result; |
| | | } |
| | | |
| | | //计算单因子同比结果 |
| | | private Double calculateSensorYOY(Map<String, Double> dataMap, Map<String, Double> compareDataMap, String sensor) { |
| | | Object dataO = dataMap.get(sensor); |
| | | Double data = Double.valueOf(dataO.toString()); |
| | | |
| | | Object cdataO = compareDataMap.get(sensor); |
| | | Double compareData = Double.valueOf(cdataO.toString()); |
| | | if (data != null && compareData != null) |
| | | return data - compareData; |
| | | return null; |
| | | } |
| | | |
| | | //获取城市对应时间的6参以及综合指数均值 |
| | | private Map<String, Double> getConcentration(boolean thisYear, Date startDate, Date endDate, Integer cityCode) { |
| | | if (thisYear) { |
| | | List<CityAqiDaily> cityAqiDailies = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(cityCode, startDate, endDate); |
| | | if (ObjectUtils.isEmpty(cityAqiDailies)) |
| | | return null; |
| | | return calculate6ParamAvg(cityAqiDailies); |
| | | } else { |
| | | List<CityAqiYearly> cityAqiYearlies = getCityAqiYearlyByRegionCodeAndTime(cityCode, startDate, endDate); |
| | | if (ObjectUtils.isEmpty(cityAqiYearlies)) |
| | | return null; |
| | | CityAqiYearly cityAqiYearly = cityAqiYearlies.get(0); |
| | | return JSON.parseObject(cityAqiYearly.getValue(), Map.class); |
| | | } |
| | | } |
| | | |
| | | //计算6参以及综合指数平均值 |
| | | private Map<String, Double> calculate6ParamAvg(List<CityAqiDaily> cityAqiList) { |
| | | Double co = calculatePercent(cityAqiList, "CO", 95); |
| | | Double pm2_5 = calculateSensorAvg(cityAqiList, "PM2_5"); |
| | | Double pm10 = calculateSensorAvg(cityAqiList, "PM10"); |
| | | Double so2 = calculateSensorAvg(cityAqiList, "SO2"); |
| | | Double no2 = calculateSensorAvg(cityAqiList, "NO2"); |
| | | Double o3 = calculatePercent(cityAqiList, "O3", 90); |
| | | Double compositeIndex = calculateSensorAvg(cityAqiList, "compositeIndex"); |
| | | Map<String, Double> result = new HashMap<>(); |
| | | result.put("CO", co); |
| | | result.put("NO2", no2); |
| | | result.put("SO2", so2); |
| | | result.put("O3", o3); |
| | | result.put("PM2_5", pm2_5); |
| | | result.put("PM10", pm10); |
| | | result.put("compositeIndex", compositeIndex); |
| | | return result; |
| | | } |
| | | |
| | | //计算因子的平均值 |
| | | private Double calculateSensorAvg(List<CityAqiDaily> cityAqiList, String sensor) { |
| | | Double sum = 0d; |
| | | int num = 0; |
| | | for (CityAqiDaily cityAqi : cityAqiList) { |
| | | String value = cityAqi.getValue(); |
| | | if (value == null) |
| | | continue; |
| | | Map<String, Object> valueMap = JSON.parseObject(value, Map.class); |
| | | Object sensorValueObject = valueMap.get(sensor); |
| | | if (sensorValueObject == null) |
| | | continue; |
| | | Double sensorValue = Double.valueOf(sensorValueObject.toString()); |
| | | sum = MathUtils.add(sum, sensorValue); |
| | | num++; |
| | | } |
| | | if (num == 0) |
| | | return null; |
| | | Double avg = MathUtils.division(sum, num, 2); |
| | | return avg; |
| | | } |
| | | |
| | | //计算百分位 |
| | | private Double calculatePercent(List<CityAqiDaily> cityAqiList, String sensor, int percent) { |
| | | List<Double> datas = new ArrayList<>(); |
| | | for (CityAqiDaily cityAqi : cityAqiList) { |
| | | String value = cityAqi.getValue(); |
| | | if (value == null) |
| | | continue; |
| | | Map<String, Object> valueMap = JSON.parseObject(value, Map.class); |
| | | Object sensorValueObject = valueMap.get(sensor); |
| | | if (sensorValueObject == null) |
| | | continue; |
| | | Double sensorValue = Double.valueOf(sensorValueObject.toString()); |
| | | datas.add(sensorValue); |
| | | } |
| | | if (datas.size() == 0) |
| | | return null; |
| | | datas.sort(Comparator.comparing(value -> value)); |
| | | Double avg = AmendUtils.percentile(datas, percent); |
| | | return avg; |
| | | } |
| | | |
| | | //计算优良天数排名 |
| | | private Integer calculateFineDaysRange(List<SysArea> cities, SysArea posCity, Date startDate, Date endDate) { |
| | | List<CityPollutionLevel> result = new ArrayList<>(); |
| | | for (SysArea city : cities) { |
| | | CityPollutionLevel cityPollutionLevel = cityAqiDailyService.calculateDaysByTimeAndSysArea(city, startDate, endDate); |
| | | result.add(cityPollutionLevel); |
| | | } |
| | | //排序 |
| | | result.sort(Comparator.comparing(value -> value.getGoodWeatherDays() + value.getExcellentWeatherDays())); |
| | | //倒序排名 |
| | | Collections.reverse(result); |
| | | for (CityPollutionLevel value : result) { |
| | | if (value.getRegionName().equals(posCity.getAreaName())) |
| | | return result.indexOf(value); |
| | | } |
| | | return null; |
| | | } |
| | | |
| | | //判断是否为今年 |
| | | private boolean isThisYear(String year) { |
| | | return DateUtils.dateToDateString(new Date(), "yyyy").equals(year); |
| | | } |
| | | |
| | | //查询数据集合最大月份 |
| | | private int maxMonth( List<CityAqiDaily> datas){ |
| | | int i = 0; |
| | | for (CityAqiDaily data : datas) { |
| | | Date time = data.getTime(); |
| | | int month = DateUtils.getMonth(time); |
| | | if(month>i) |
| | | i = month; |
| | | } |
| | | return i; |
| | | } |
| | | |
| | | |
| | | |
| | | |
| | | } |