| | |
| | | package com.moral.api.service.impl; |
| | | |
| | | import com.alibaba.fastjson.JSON; |
| | | import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; |
| | | import com.moral.api.entity.HistorySecondUav; |
| | | import com.moral.api.entity.Organization; |
| | | import com.moral.api.entity.*; |
| | | import com.moral.api.mapper.HistorySecondUavMapper; |
| | | import com.moral.api.pojo.dto.uav.UAVQueryTimeSlotDTO; |
| | | import com.moral.api.pojo.form.uav.UAVQueryTimeSlotForm; |
| | |
| | | import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; |
| | | import com.moral.api.service.OrganizationService; |
| | | import com.moral.api.service.SpecialDeviceService; |
| | | import com.moral.api.utils.UnitConvertUtils; |
| | | import com.moral.constant.RedisConstants; |
| | | import com.moral.util.DateUtils; |
| | | import com.moral.util.GeodesyUtils; |
| | | import com.moral.util.MathUtils; |
| | | import org.springframework.beans.factory.annotation.Autowired; |
| | | import org.springframework.data.redis.core.RedisTemplate; |
| | | import org.springframework.stereotype.Service; |
| | | import org.springframework.util.ObjectUtils; |
| | | |
| | | import java.math.BigDecimal; |
| | | import java.util.*; |
| | | import java.util.concurrent.ConcurrentHashMap; |
| | | import java.util.function.Predicate; |
| | | |
| | | /** |
| | |
| | | @Service |
| | | public class HistorySecondUavServiceImpl extends ServiceImpl<HistorySecondUavMapper, HistorySecondUav> implements HistorySecondUavService { |
| | | |
| | | /* |
| | | * 筛选数据举例 |
| | | * */ |
| | | private Double filterDistance = 2d; |
| | | |
| | | @Autowired |
| | | HistorySecondUavMapper historySecondUavMapper; |
| | | @Autowired |
| | | OrganizationService organizationService; |
| | | @Autowired |
| | | SpecialDeviceService specialDeviceService; |
| | | @Autowired |
| | | RedisTemplate redisTemplate; |
| | | |
| | | @Override |
| | | public List<Date> queryDate(Integer organizationId) { |
| | |
| | | childrenId.add(child.getId()); |
| | | } |
| | | childrenId.add(organizationId); |
| | | queryWrapper.in("organization_id",childrenId); |
| | | queryWrapper.in("organization_id", childrenId); |
| | | //设置查询时间范围为180天 |
| | | Date endDate = new Date(); |
| | | Date startDate = DateUtils.addDays(endDate, -180); |
| | | queryWrapper.between("batch",startDate,endDate); |
| | | queryWrapper.between("batch", startDate, endDate); |
| | | //设置查询字段 |
| | | queryWrapper.select("DISTINCT batch"); |
| | | queryWrapper.orderByDesc("batch"); |
| | | //查询结果 |
| | | List<HistorySecondUav> historySecondUavs = historySecondUavMapper.selectList(queryWrapper); |
| | | //结果转为Date集合 |
| | |
| | | childrenId.add(child.getId()); |
| | | } |
| | | childrenId.add(organizationId); |
| | | wrapper.in("organization_id",childrenId); |
| | | wrapper.in("organization_id", childrenId); |
| | | //查询根据batch查,因为可能会有跨天飞行的情况。 |
| | | wrapper.between("batch",startDate,endDate); |
| | | wrapper.between("batch", startDate, endDate); |
| | | //设置查询字段 |
| | | wrapper.select("mac,time,batch"); |
| | | //查询结果 |
| | | List<HistorySecondUav> historySecondUavs = historySecondUavMapper.selectList(wrapper); |
| | | //根据batch进行分批 |
| | | Map<String,List<HistorySecondUav>> batchMap = new LinkedHashMap<>();//key为batch的string |
| | | Map<String, List<HistorySecondUav>> batchMap = new LinkedHashMap<>();//key为batch的string |
| | | for (HistorySecondUav historySecondUav : historySecondUavs) { |
| | | //获取batch对应的数据集合 |
| | | List<HistorySecondUav> list = batchMap.get(historySecondUav.getBatch().toString()); |
| | | if(list!=null){ |
| | | List<HistorySecondUav> list = batchMap.get(DateUtils.dateToDateString(historySecondUav.getBatch(), "yyyy-MM-dd HH:mm:ss")); |
| | | if (list != null) { |
| | | list.add(historySecondUav); |
| | | }else{ |
| | | } else { |
| | | ArrayList<HistorySecondUav> newList = new ArrayList<>(); |
| | | newList.add(historySecondUav); |
| | | batchMap.put(historySecondUav.getBatch().toString(),newList); |
| | | batchMap.put(DateUtils.dateToDateString(historySecondUav.getBatch(), "yyyy-MM-dd HH:mm:ss"), newList); |
| | | } |
| | | } |
| | | //去除少于30条数据的集合 |
| | | batchMap.values().removeIf(new Predicate<List<HistorySecondUav>>() { |
| | | @Override |
| | | public boolean test(List<HistorySecondUav> historySecondUavs) { |
| | | if(historySecondUavs.size()<=30) |
| | | if (historySecondUavs.size() <= 30) |
| | | return true; |
| | | return false; |
| | | } |
| | | }); |
| | | //根据mac进行分类 |
| | | Map<String,List<Map<String,List<HistorySecondUav>>>> macBatchMap = new LinkedHashMap<>();//key为mac |
| | | Map<String, List<Map<String, List<HistorySecondUav>>>> macBatchMap = new LinkedHashMap<>();//key为mac |
| | | //遍历batchMap将mac提取出来,作为macBatchMap的key,batch和数据map的数据集合放入value |
| | | batchMap.forEach((key,value)->{ |
| | | batchMap.forEach((key, value) -> { |
| | | String mac = value.get(0).getMac(); |
| | | List<Map<String, List<HistorySecondUav>>> maps = macBatchMap.get(mac); |
| | | if(maps!=null){ |
| | | Map<String,List<HistorySecondUav>> map = new LinkedHashMap<>(); |
| | | map.put(key,value); |
| | | if (maps != null) { |
| | | Map<String, List<HistorySecondUav>> map = new LinkedHashMap<>(); |
| | | map.put(key, value); |
| | | maps.add(map); |
| | | }else{ |
| | | List<Map<String,List<HistorySecondUav>>> list = new ArrayList<>(); |
| | | Map<String,List<HistorySecondUav>> map = new LinkedHashMap<>(); |
| | | map.put(key,value); |
| | | } else { |
| | | List<Map<String, List<HistorySecondUav>>> list = new ArrayList<>(); |
| | | Map<String, List<HistorySecondUav>> map = new LinkedHashMap<>(); |
| | | map.put(key, value); |
| | | list.add(map); |
| | | macBatchMap.put(value.get(0).getMac(),list); |
| | | macBatchMap.put(value.get(0).getMac(), list); |
| | | } |
| | | }); |
| | | //封装返回数据 |
| | | List<UAVQueryTimeSlotDTO> dtos = new ArrayList<>(); |
| | | macBatchMap.forEach((key,value)->{ |
| | | macBatchMap.forEach((key, value) -> { |
| | | UAVQueryTimeSlotDTO dto = new UAVQueryTimeSlotDTO(); |
| | | List<Map<String,Date>> timeSlots = new ArrayList<>(); |
| | | List<Map<String, Object>> timeSlots = new ArrayList<>(); |
| | | dto.setMac(key); |
| | | //根据mac查询设备名称 |
| | | dto.setName((String) specialDeviceService.getSpecialDeviceMapByMac(key).get("name")); |
| | | //获取时间段 |
| | | value.forEach(listValue->{ |
| | | listValue.forEach((mKey,mValue)->{ |
| | | SpecialDevice specialDevice = specialDeviceService.getSpecialDeviceMapByMac(key); |
| | | //如果设备不存在则退出循环 |
| | | if (specialDevice == null) |
| | | return; |
| | | dto.setName(specialDevice.getName()); |
| | | //获取时间段与batch |
| | | value.forEach(listValue -> { |
| | | listValue.forEach((mKey, mValue) -> { |
| | | Date slotStartDate = mValue.get(0).getTime(); |
| | | Date slotEndDate = mValue.get(mValue.size()-1).getTime(); |
| | | Map<String,Date> dateMap = new HashMap<>(); |
| | | dateMap.put("startTime",slotStartDate); |
| | | dateMap.put("endTime",slotEndDate); |
| | | Date slotEndDate = mValue.get(mValue.size() - 1).getTime(); |
| | | Map<String, Object> dateMap = new HashMap<>(); |
| | | dateMap.put("startTime", slotStartDate); |
| | | dateMap.put("endTime", slotEndDate); |
| | | dateMap.put("batch", mKey); |
| | | timeSlots.add(dateMap); |
| | | }); |
| | | }); |
| | | dto.setTimeSlot(timeSlots); |
| | | dtos.add(dto); |
| | | }); |
| | | return dtos; |
| | | return dtos; |
| | | } |
| | | |
| | | @Override |
| | | public List<HistorySecondUav> queryDataByBatch(String batch) { |
| | | //batch转换类型 |
| | | Date batchDate = DateUtils.getDate(batch, "yyyy-MM-dd HH:mm:ss"); |
| | | //查询数据 |
| | | QueryWrapper<HistorySecondUav> wrapper = new QueryWrapper<>(); |
| | | wrapper.eq("batch", batchDate); |
| | | wrapper.select("value,mac,time"); |
| | | List<HistorySecondUav> datas = historySecondUavMapper.selectList(wrapper); |
| | | //获取无人机飞行高度最低值 |
| | | Double lowestHeight = 0d; |
| | | for (HistorySecondUav data : datas) { |
| | | String value = data.getValue(); |
| | | Map<String, Object> valueMap = JSON.parseObject(value, Map.class); |
| | | //判断value里面有没有高度 |
| | | if (!valueMap.containsKey("flyhig")|| !valueMap.containsKey("flylat")|| !valueMap.containsKey("flylon")){ |
| | | continue; |
| | | } |
| | | //获取高度 |
| | | Double height = Double.valueOf((String) valueMap.get("flyhig")); |
| | | if (height < lowestHeight) |
| | | lowestHeight = height; |
| | | } |
| | | //获取最低点后,无人机所有飞行高度以最低点作为0点,所以无人机所有的高度全部加上最低点的绝对值。 |
| | | lowestHeight = Math.abs(lowestHeight); |
| | | for (HistorySecondUav data : datas) { |
| | | String value = data.getValue(); |
| | | Map<String, Object> valueMap = JSON.parseObject(value, Map.class); |
| | | //判断value里面有没有高度 |
| | | if (!valueMap.containsKey("flyhig")|| !valueMap.containsKey("flylat")|| !valueMap.containsKey("flylon")){ |
| | | continue; |
| | | } |
| | | //获取高度 |
| | | Double height = Double.valueOf((String) valueMap.get("flyhig")); |
| | | //加上最低点绝对值 |
| | | height = MathUtils.add(height, lowestHeight); |
| | | //重新封装数据 |
| | | valueMap.put("flyhig", height); |
| | | String newValue = JSON.toJSONString(valueMap); |
| | | data.setValue(newValue); |
| | | } |
| | | //筛选无人机数据,保持每个点之间的距离在2米以上 |
| | | datas = filterDatas(datas); |
| | | if (datas.size()<2){ |
| | | return null; |
| | | } |
| | | //转换单位 |
| | | unitConvert(datas); |
| | | return datas; |
| | | } |
| | | |
| | | /** |
| | | * @Description: 过滤数据 |
| | | * @Param: [datas] |
| | | * @return: java.util.List<com.moral.api.entity.HistorySecondUav> |
| | | * @Author: 陈凯裕 |
| | | * @Date: 2021/9/16 |
| | | */ |
| | | private List<HistorySecondUav> filterDatas(List<HistorySecondUav> datas) { |
| | | //创建返回结果 |
| | | List<HistorySecondUav> result = new ArrayList<>(); |
| | | //把第一个数据暂时作为对比数据 |
| | | HistorySecondUav tempData = datas.get(0); |
| | | result.add(tempData); |
| | | datas.remove(0); |
| | | for (HistorySecondUav data : datas) { |
| | | Double distance = getDistance(tempData, data); |
| | | if (distance==null){ |
| | | continue; |
| | | } |
| | | if (distance > filterDistance) { |
| | | result.add(data); |
| | | tempData = data; |
| | | } |
| | | } |
| | | return result; |
| | | } |
| | | |
| | | /** |
| | | * @Description: 获取两个数据之间的距离 |
| | | * @Param: [uav1, uav2] |
| | | * @return: java.lang.Double |
| | | * @Author: 陈凯裕 |
| | | * @Date: 2021/9/13 |
| | | */ |
| | | private Double getDistance(HistorySecondUav uav1, HistorySecondUav uav2) { |
| | | String value1 = uav1.getValue(); |
| | | String value2 = uav2.getValue(); |
| | | Map<String, Object> value1Map = JSON.parseObject(value1, Map.class); |
| | | Map<String, Object> value2Map = JSON.parseObject(value2, Map.class); |
| | | //判断这两个数据里面有没有经纬度 |
| | | if (!value1Map.containsKey("flylon")||!value1Map.containsKey("flylat")||!value1Map.containsKey("flyhig")|| |
| | | !value2Map.containsKey("flylon")||!value2Map.containsKey("flylat")||!value2Map.containsKey("flyhig")){ |
| | | return null; |
| | | } |
| | | //获取数据1的经纬度和高度 |
| | | Double longtitude1 = Double.valueOf((String) value1Map.get("flylon")); |
| | | Double latitude1 = Double.valueOf((String) value1Map.get("flylat")); |
| | | BigDecimal c1 = (BigDecimal) value1Map.get("flyhig"); |
| | | double height1 = c1.doubleValue(); |
| | | //获取数据2的经纬度和高度 |
| | | Double longtitude2 = Double.valueOf((String) value2Map.get("flylon")); |
| | | Double latitude2 = Double.valueOf((String) value2Map.get("flylat")); |
| | | BigDecimal c2 = (BigDecimal) value2Map.get("flyhig"); |
| | | double height2 = c2.doubleValue(); |
| | | //计算经纬度之间的平面距离 |
| | | Double planDistance = GeodesyUtils.getDistance(latitude1, longtitude1, latitude2, longtitude2); |
| | | //根据直角三角形特性用勾股定理计算空间距离 |
| | | Double heightDsitance = Math.abs(MathUtils.sub(height2, height1)); |
| | | Double Distance = Math.sqrt(MathUtils.mul(planDistance, planDistance) + MathUtils.mul(heightDsitance, heightDsitance)); |
| | | return Distance; |
| | | } |
| | | |
| | | /** |
| | | * @Description: 数据单位转换以及拼接 |
| | | * @Param: [datas] |
| | | * @return: java.util.List<com.moral.api.entity.HistorySecondUav> |
| | | * @Author: 陈凯裕 |
| | | * @Date: 2021/9/16 |
| | | */ |
| | | private void unitConvert(List<HistorySecondUav> datas) { |
| | | //获取转换公式 |
| | | List<UnitConversion> unitConversions = redisTemplate.opsForList().range(RedisConstants.UNIT_CONVERSION, 0, -1); |
| | | //获取无人机基本数据 |
| | | SpecialDevice specialDevice = (SpecialDevice) redisTemplate.opsForHash().get(RedisConstants.SPECIAL_DEVICE_INFO, datas.get(0).getMac()); |
| | | //获取无人机型号所有的因子信息 |
| | | List<Sensor> sensors = specialDevice.getVersion().getSensors(); |
| | | Map<String, Sensor> sensorsMap = new HashMap<>(); |
| | | sensors.forEach(value -> sensorsMap.put(value.getCode(), value)); |
| | | //转换单位并且拼接单位 |
| | | for (HistorySecondUav data : datas) { |
| | | String valueStr = data.getValue(); |
| | | ConcurrentHashMap<String, Object> valueMap = JSON.parseObject(valueStr, ConcurrentHashMap.class); |
| | | Set<Map.Entry<String, Object>> entries = valueMap.entrySet(); |
| | | Iterator<Map.Entry<String, Object>> iterator = entries.iterator(); |
| | | //遍历单个数据的所有因子 |
| | | while(iterator.hasNext()){ |
| | | Map.Entry<String, Object> entry = iterator.next(); |
| | | String code = entry.getKey(); |
| | | String value = String.valueOf(entry.getValue()); |
| | | Sensor sensor = sensorsMap.get(code); |
| | | if (sensor == null) {//如果型号中没有该因子则移除 |
| | | valueMap.remove(code); |
| | | continue; |
| | | } |
| | | String unit = sensor.getUnit(); |
| | | String unitKey = sensor.getUnitKey(); |
| | | String showUnit = sensor.getShowUnit(); |
| | | String showUnitKey = sensor.getShowUnitKey(); |
| | | //如果源单位和显示单位相同则直接拼接单位 |
| | | if (showUnitKey.equals(unitKey)) { |
| | | value += " " + unit; |
| | | } else { |
| | | String formula = sensor.getFormula(); |
| | | //如果sensor中的公式为空则从缓存中获取公式 |
| | | if (ObjectUtils.isEmpty(formula)) { |
| | | for (UnitConversion unitConversion : unitConversions) { |
| | | if (unitConversion.getOriginalUnitKey().equals(unitKey) && unitConversion.getTargetUnitKey().equals(showUnitKey)) |
| | | formula = unitConversion.getFormula(); |
| | | } |
| | | } |
| | | //计算转换单位后的数据 |
| | | String resultValue = UnitConvertUtils.calculate((String) value, formula); |
| | | if (resultValue != null) { |
| | | resultValue += showUnit; |
| | | } else {//如果转换出的数据为null,则代表缓存中也没有公式,依然使用源单位。 |
| | | resultValue = value + unit; |
| | | } |
| | | value = resultValue; |
| | | } |
| | | //重新放入转换后的数据 |
| | | valueMap.put(code, value); |
| | | } |
| | | String value = JSON.toJSONString(valueMap); |
| | | data.setValue(value); |
| | | } |
| | | } |
| | | |
| | | } |