package com.flightfeather.uav.domain.entity
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import com.flightfeather.uav.common.utils.DateUtil
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import com.flightfeather.uav.biz.dataprocess.AvgPair
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import com.flightfeather.uav.lightshare.bean.DataVo
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import com.flightfeather.uav.socket.bean.AirData
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import com.flightfeather.uav.socket.eunm.FactorType
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import java.math.BigDecimal
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import java.time.LocalDateTime
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import java.time.ZoneId
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import java.util.*
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import javax.persistence.Column
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import javax.persistence.Id
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import kotlin.math.*
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/**
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* 实时监测数据基类
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*/
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open class BaseRealTimeData {
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@Id
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var id: Int? = null
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@Column(name = "device_code")
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var deviceCode: String? = null
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var latitude: BigDecimal? = null
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var longitude: BigDecimal? = null
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var altitude: Float? = null
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@Column(name = "data_time")
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var dataTime: Date? = null
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@Column(name = "create_time")
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var createTime: Date? = null
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@Column(name = "NO2")
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var no2: Float? = null
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@Column(name = "CO")
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var co: Float? = null
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@Column(name = "H2S")
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var h2s: Float? = null
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@Column(name = "SO2")
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var so2: Float? = null
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@Column(name = "O3")
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var o3: Float? = null
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@Column(name = "PM25")
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var pm25: Float? = null
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@Column(name = "PM10")
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var pm10: Float? = null
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var temperature: Float? = null
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var humidity: Float? = null
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@Column(name = "VOC")
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var voc: Float? = null
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@Column(name = "NOI")
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var noi: Float? = null
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var velocity: Float? = null
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@Column(name = "wind_speed")
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var windSpeed: Float? = null
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@Column(name = "wind_direction")
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var windDirection: Float? = null
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var height: Float? = null
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fun toDataVo() = DataVo().apply {
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this.time = DateUtil.instance.dateToString(dataTime, DateUtil.DateStyle.YYYY_MM_DD_HH_MM_SS)
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this.deviceCode = this@BaseRealTimeData.deviceCode
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this.lng = longitude?.toDouble()
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this.lat = latitude?.toDouble()
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this.values = mutableListOf<AirData>().apply {
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add(AirData().apply { setData(FactorType.NO2, no2) })
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add(AirData().apply { setData(FactorType.CO, co) })
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add(AirData().apply { setData(FactorType.H2S, h2s) })
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add(AirData().apply { setData(FactorType.SO2, so2) })
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add(AirData().apply { setData(FactorType.O3, o3) })
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add(AirData().apply { setData(FactorType.PM25, pm25) })
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add(AirData().apply { setData(FactorType.PM10, pm10) })
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add(AirData().apply { setData(FactorType.TEMPERATURE, temperature) })
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add(AirData().apply { setData(FactorType.HUMIDITY, humidity) })
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add(AirData().apply { setData(FactorType.VOC, voc) })
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add(AirData().apply { setData(FactorType.NOI, noi) })
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add(AirData().apply { setData(FactorType.LNG, lng) })
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add(AirData().apply { setData(FactorType.LAT, lat) })
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add(AirData().apply { setData(FactorType.VELOCITY, velocity) })
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add(AirData().apply {
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setData(FactorType.TIME, dataTime?.time?.toDouble())
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statusList = listOf(time ?: "")
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})
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add(AirData().apply { setData(FactorType.WIND_SPEED, windSpeed) })
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add(AirData().apply { setData(FactorType.WIND_DIRECTION, windDirection) })
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add(AirData().apply { setData(FactorType.HEIGHT, height) })
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}
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}
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fun getByFactorIndex(i: Int): Float? {
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return when (i) {
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0 -> no2
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1 -> co
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2 -> h2s
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3 -> so2
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4 -> o3
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5 -> pm25
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6 -> pm10
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7 -> voc
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else -> null
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}
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}
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fun getByFactorType(type: FactorType?): Float? {
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return when (type) {
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FactorType.NO2 -> no2
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FactorType.CO -> co
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FactorType.H2S -> h2s
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FactorType.SO2 -> so2
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FactorType.O3 -> o3
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FactorType.PM25 -> pm25
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FactorType.PM10 -> pm10
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FactorType.TEMPERATURE -> temperature
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FactorType.HUMIDITY -> humidity
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FactorType.VOC -> voc
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FactorType.NOI -> noi
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FactorType.LNG -> longitude?.toFloat()
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FactorType.LAT -> latitude?.toFloat()
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FactorType.VELOCITY -> velocity
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// FactorType.TIME -> noi
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FactorType.WIND_SPEED -> windSpeed
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FactorType.WIND_DIRECTION -> windDirection
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FactorType.HEIGHT -> height
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else -> null
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}
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}
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}
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fun List<BaseRealTimeData>.avg(): RealTimeDataGridMin {
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//风向采用单位矢量法求取均值
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var u = .0//东西方位分量总和
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var v = .0//南北方位分量总和
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var c = 0//风向数据计数
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//除风向外的其他因子采用算术平均法求取均值
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val tmpList = mutableListOf<AvgPair>()
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repeat(17) {
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tmpList.add(AvgPair(0f, 0))
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}
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forEach {
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//风向
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it.windDirection?.let {w ->
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val r = Math.toRadians(w.toDouble())
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u += sin(r)
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v += cos(r)
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c++
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}
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//其余因子
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tmpList[0].apply {
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it.latitude?.let {
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t += it.toFloat()
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this.c++
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}
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}
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tmpList[1].apply {
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it.longitude?.let {
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t += it.toFloat()
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this.c++
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}
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}
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tmpList[2].apply {
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it.altitude?.let {
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t += it
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this.c++
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}
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}
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tmpList[3].apply {
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it.no2?.let {
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t += it
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this.c++
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}
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}
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tmpList[4].apply {
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it.co?.let {
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t += it
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this.c++
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}
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}
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tmpList[5].apply {
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it.h2s?.let {
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t += it
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this.c++
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}
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}
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tmpList[6].apply {
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it.so2?.let {
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t += it
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this.c++
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}
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}
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tmpList[7].apply {
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it.o3?.let {
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t += it
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this.c++
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}
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}
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tmpList[8].apply {
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it.pm25?.let {
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t += it
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this.c++
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}
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}
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tmpList[9].apply {
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it.pm10?.let {
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t += it
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this.c++
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}
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}
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tmpList[10].apply {
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it.temperature?.let {
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t += it
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this.c++
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}
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}
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tmpList[11].apply {
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it.humidity?.let {
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t += it
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this.c++
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}
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}
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tmpList[12].apply {
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it.voc?.let {
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t += it
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this.c++
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}
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}
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tmpList[13].apply {
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it.noi?.let {
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t += it
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this.c++
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}
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}
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tmpList[14].apply {
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it.velocity?.let {
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t += it
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this.c++
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}
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}
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tmpList[15].apply {
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it.windSpeed?.let {
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t += it
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this.c++
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}
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}
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tmpList[16].apply {
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it.height?.let {
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t += it
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this.c++
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}
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}
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}
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return RealTimeDataGridMin().apply {
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val time = LocalDateTime.ofInstant(get(0).dataTime?.toInstant(), ZoneId.systemDefault()).withSecond(0)
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deviceCode = get(0).deviceCode
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dataTime = Date.from(time.atZone(ZoneId.systemDefault()).toInstant())
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createTime = dataTime
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latitude = tmpList[0].avg().toBigDecimal()
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longitude = tmpList[1].avg().toBigDecimal()
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altitude = tmpList[2].avg()
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no2 = tmpList[3].avg()
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co = tmpList[4].avg()
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h2s = tmpList[5].avg()
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so2 = tmpList[6].avg()
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o3 = tmpList[7].avg()
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pm25 = tmpList[8].avg()
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pm10 = tmpList[9].avg()
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temperature = tmpList[10].avg()
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humidity = tmpList[11].avg()
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voc = tmpList[12].avg()
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noi = tmpList[13].avg()
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velocity = tmpList[14].avg()
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windSpeed = tmpList[15].avg()
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height = tmpList[16].avg()
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if (c != 0) {
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val avgU = u / c
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val avgV = v / c
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var a = atan(avgU / avgV)
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a = Math.toDegrees(a)
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/**
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* avgU>0;avgV>0: 真实角度处于第一象限，修正值为+0°
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* avgU>0;avgV<0: 真实角度处于第二象限，修正值为+180°
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* avgU<0;avgV<0: 真实角度处于第三象限，修正值为+180°
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* avgU<0;avgV>0: 真实角度处于第四象限，修正值为+360°
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*/
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a += if (avgV > 0) {
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if (avgU > 0) 0 else 360
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} else {
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180
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}
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windDirection = round(a.toFloat())
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}
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}
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}
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