From 344d9006faa27ea65e3eaf5e8f9173aad2266038 Mon Sep 17 00:00:00 2001
From: feiyu02 <risaku@163.com>
Date: 星期三, 23 七月 2025 17:23:53 +0800
Subject: [PATCH] 2025.7.23 1. 动态溯源模块完成，发布
---
src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt | 126 +++++++++++++++++++++++++++++++----------
1 files changed, 94 insertions(+), 32 deletions(-)
diff --git a/src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt b/src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt
index 56190ed..3dc2e05 100644
--- a/src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt
+++ b/src/main/kotlin/com/flightfeather/uav/biz/sourcetrace/model/PollutedData.kt
@@ -6,6 +6,9 @@
import com.flightfeather.uav.common.utils.DateUtil
import com.flightfeather.uav.domain.entity.BaseRealTimeData
import com.flightfeather.uav.lightshare.bean.DataVo
+import com.flightfeather.uav.socket.eunm.FactorType
+import java.util.Date
+import kotlin.math.round
/**
* 姹℃煋鏁版嵁
@@ -13,6 +16,23 @@
* @author feiyu02
*/
class PollutedData() {
+
+ inner class Statistic(){
+ var factorId: Int? = null
+ var factorName: String? = null
+ var subFactorId: List<Int>? = null
+ var subFactorName: List<String>? = null
+ var selectedFactor: FactorFilter.SelectedFactor? = null
+
+ // 鍥犲瓙閲忕骇骞冲潎鍙樺寲骞呭害
+ var avgPer: Double? = null
+ // 鍥犲瓙閲忕骇骞冲潎鍙樺寲閫熺巼
+ var avgRate: Double? = null
+
+ var avg: Double? = null
+ var min: Double? = null
+ var max: Double? = null
+ }
/**
* 9. 鍏宠仈鍥犲瓙
@@ -26,37 +46,50 @@
constructor(
start: BaseRealTimeData,
end: BaseRealTimeData?,
- factor: FactorFilter.SelectedFactor,
+ factorList: List<FactorFilter.SelectedFactor>,
exceptionData: List<BaseRealTimeData>,
+ historyData: List<BaseRealTimeData>,
eType: ExceptionType,
- windLevelCondition: RTExcWindLevelConfig.WindLevelCondition,
+ windLevelCondition: RTExcWindLevelConfig.WindLevelCondition?,
) : this() {
exception = eType.des
exceptionType = eType.value
- factorId = factor.main.value
- factorName = factor.main.des
- subFactorId = factor.subs.map { it.value }
- subFactorName = factor.subs.map { it.des }
- selectedFactor = factor
- startTime = DateUtil.instance.dateToString(start.dataTime, DateUtil.DateStyle.HH_MM_SS)
- endTime = DateUtil.instance.dateToString(end?.dataTime, DateUtil.DateStyle.HH_MM_SS) ?: startTime
+ startTime = start.dataTime
+ endTime = end?.dataTime
// 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
+ times = windLevelCondition?.countLimit
dataList.add(start)
exceptionData.forEach {
dataList.add(it)
}
dataVoList.addAll(dataList.map { it.toDataVo() })
+ historyDataList.addAll(historyData.map { it.toDataVo() })
- calPer()
+
+ factorList.forEach { f->
+ statisticMap[f.main] = Statistic().apply {
+ factorId = f.main.value
+ factorName = f.main.des
+ subFactorId = f.subs.map { it.value }
+ subFactorName = f.subs.map { it.des }
+ selectedFactor = f
+
+ avgPer = calPer(f.main)
+ avgRate = calRate(f.main)
+
+ val s = dataSummary(exceptionData, f.main)
+ avg = s.first
+ min = s.second
+ max = s.third
+ }
+ }
}
var deviceCode: String? = null
@@ -64,14 +97,8 @@
var exception: String? = null
var exceptionType: Int? = null
- var factorId: Int? = null
- var factorName: String? = null
- var subFactorId: List<Int>? = null
- var subFactorName: List<String>? = null
- var selectedFactor: FactorFilter.SelectedFactor? = null
-
- var startTime: String? = null
- var endTime: String? = null
+ var startTime: Date? = null
+ var endTime: Date? = null
var startData: BaseRealTimeData? = null
var endData: BaseRealTimeData? = null
@@ -79,30 +106,65 @@
// 椋庨��
var windSpeed: Double? = null
- // 鍥犲瓙閲忕骇鍙樺寲骞呭害
- var percentage: Double? = null
- // 鍥犲瓙閲忕骇骞冲潎鍙樺寲骞呭害
- var avgPer: Double? = null
-
// 鍙戠敓娆℃暟
var times: Int? = null
+ var historyDataList = mutableListOf<DataVo>()
// 寮傚父鐩戞祴鏁版嵁
var dataList: MutableList<BaseRealTimeData> = mutableListOf()
var dataVoList: MutableList<DataVo> = mutableListOf()
- private fun calPer() {
+ var statisticMap = mutableMapOf<FactorType, Statistic>()
+
+ fun toFactorNames(): String {
+ val factors = statisticMap.entries.map { it.key }.sortedBy { it.value }.joinToString(";") { it.des }
+ return factors
+ }
+
+ private fun calPer(factorType: FactorType): Double? {
val list = dataList
-// list.add(startData)
-// list.addAll(dataList)
- if (list.size < 2) return
+ if (list.size < 2) return null
var total = .0
for (i in 0 until list.size - 1) {
- val p = list[i]?.getByFactorType(selectedFactor!!.main)!!
- val n = list[i + 1]?.getByFactorType(selectedFactor!!.main)!!
+ val p = list[i].getByFactorType(factorType)!!
+ val n = list[i + 1].getByFactorType(factorType)!!
total += (n - p) / p
}
- avgPer = total / (list.size - 1)
+ return total / (list.size - 1)
+ }
+
+ private fun calRate(factorType: FactorType): Double? {
+ val list = dataList
+ if (list.size < 2) return null
+
+ var total = .0
+ for (i in 0 until list.size - 1) {
+ val p = list[i].getByFactorType(factorType)!!
+ val n = list[i + 1].getByFactorType(factorType)!!
+ total += (n - p) / 4
+ }
+ return total / (list.size - 1)
+ }
+
+ private fun dataSummary(exceptionData: List<BaseRealTimeData?>, factorType: FactorType): Triple<Double, Double,
+ Double> {
+ var min = -1.0
+ var max = -1.0
+ var total = .0
+ var count = 0
+ exceptionData.forEach {
+ val value = it?.getByFactorType(factorType)?.toDouble() ?: return@forEach
+ if (min == -1.0 || min > value) {
+ min = round(value * 1000) / 1000
+ }
+ if (max == -1.0 || max < value) {
+ max = round(value * 1000) / 1000
+ }
+ total += value
+ count++
+ }
+ val avg = if (count == 0) .0 else round(total / count * 1000) / 1000
+ return Triple(avg, min, max)
}
}
\ No newline at end of file
--
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