1. 新增动态污染溯源新的判定逻辑（待完成）

feiyu02

2025-06-11 f7bdafb7cddd049bbb1bbf265fa006683b4ac693

 src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt

@@ -28,8 +28,9 @@
        end: BaseRealTimeData?,
        factor: FactorFilter.SelectedFactor,
        exceptionData: List<BaseRealTimeData>,
        historyData: List<BaseRealTimeData>,
        eType: ExceptionType,
        windLevelCondition: RTExcWindLevelConfig.WindLevelCondition,
        windLevelCondition: RTExcWindLevelConfig.WindLevelCondition?,
    ) : this() {
        exception = eType.des
        exceptionType = eType.value
@@ -41,17 +42,21 @@

        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
//        startData = start.getByFactorType(factor.main)
//        endData = end?.getByFactorType(factor.main) ?: startData
        startData = start
        endData = end

        windSpeed = exceptionData.first().windSpeed?.toDouble()
        percentage = windLevelCondition.mutationRate.first
        times = windLevelCondition.countLimit
        percentage = windLevelCondition?.mutationRate?.first
        times = windLevelCondition?.countLimit

        dataList.add(start)
        exceptionData.forEach {
            dataList.add(it)
            dataVoList.add(it.toDataVo())
        }
        dataVoList.addAll(dataList.map { it.toDataVo() })
        historyDataList.addAll(historyData.map { it.toDataVo() })

        calPer()
    }
@@ -70,8 +75,8 @@
    var startTime: String? = null
    var endTime: String? = null

    var startData: Float? = null
    var endData: Float? = null
    var startData: BaseRealTimeData? = null
    var endData: BaseRealTimeData? = null

    // 风速
    var windSpeed: Double? = null
@@ -84,17 +89,23 @@
    // 发生次数
    var times: Int? = null

    var historyDataList = mutableListOf<DataVo>()
    // 异常监测数据
    var dataList: MutableList<BaseRealTimeData> = mutableListOf()
    var dataVoList: MutableList<DataVo> = mutableListOf()

    private fun calPer() {
        if (dataList.size < 2) return
        val list = dataList
//        list.add(startData)
//        list.addAll(dataList)
        if (list.size < 2) return

        var total = .0
        for (i in 0 until dataList.size - 1) {
            total += dataList[i].getByFactorType(selectedFactor!!.main)!!
        for (i in 0 until list.size - 1) {
            val p = list[i]?.getByFactorType(selectedFactor!!.main)!!
            val n = list[i + 1]?.getByFactorType(selectedFactor!!.main)!!
            total += (n - p) / p
        }
        avgPer = total / (dataList.size - 1)
        avgPer = total / (list.size - 1)
    }
}