1. 新增走航报告异常数据所经路段查询功能

Riku

2024-07-07 00ec64bdf38a52b979f709de2e82e9994ed17749

 src/main/kotlin/com/flightfeather/uav/biz/dataanalysis/BaseExceptionAnalysis.kt

@@ -6,6 +6,7 @@
import com.flightfeather.uav.biz.dataanalysis.model.ExceptionType
import com.flightfeather.uav.common.utils.DateUtil
import com.flightfeather.uav.domain.entity.BaseRealTimeData
import com.flightfeather.uav.domain.entity.avg
import com.flightfeather.uav.socket.eunm.FactorType
import java.time.Duration

@@ -49,11 +50,18 @@
            subFactorId = factor.subs.map { it.value }
            subFactorName = factor.subs.map { it.des }
            selectedFactor = factor
            startDate = start.dataTime
            endDate = end?.dataTime
            startTime = DateUtil.instance.dateToString(start.dataTime, DateUtil.DateStyle.HH_MM_SS)
            endTime = DateUtil.instance.dateToString(end?.dataTime, DateUtil.DateStyle.HH_MM_SS) ?: startTime
            startData = start.getByFactorType(factor.main)
            endData = end?.getByFactorType(factor.main) ?: startData

            val avgData = exceptionData.avg()
            // 求取污染数据的中心坐标
            longitude = avgData.longitude
            latitude = avgData.latitude
            // 求取主污染因子的均值和范围
            val s = dataSummary(exceptionData, factor.main)
            avg = s.first
            min = s.second
@@ -63,7 +71,7 @@
        }
    }

    fun dataSummary(exceptionData: List<BaseRealTimeData?>, factorType: FactorType): Triple<Float, Float, Float> {
    private fun dataSummary(exceptionData: List<BaseRealTimeData?>, factorType: FactorType): Triple<Float, Float, Float> {
        var min = -1f
        var max = -1f
        var total = 0f