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修改技术监督

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This commit is contained in:
GGJ
2025-12-11 15:03:11 +08:00
parent 0fe2d2b911
commit b36f765d07
21 changed files with 546 additions and 300 deletions
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263
src/views/pqs/qualityInspeection/panorama/components/details/stand.vue
View File

@@ -33,7 +33,7 @@
<br />
<span style="color: #ff9900">中度污染：(1.6 , 2]</span>
<br />
<span style="color: #A52a2a">重度污染：(2 , +∞)</span>
<span style="color: #a52a2a">重度污染：(2 , +∞)</span>
</div>
</el-popover>
</span>
@@ -49,11 +49,11 @@
<el-radio-button v-for="item in options" :label="item.id">{{ item.name }}</el-radio-button>
</el-radio-group>
</div>
<!-- :style="i == 3 ? `margin-left: 20%;` : ``" -->
<div class="pie">
<MyEChart
v-for="(item, i) in picEChart"
:style="i == 3 ? `margin-left: 20%;` : ``"
class="MyEChart"
:options="item"
/>
@@ -72,6 +72,7 @@
<vxe-column field="num3" sortable title="轻度污染数量" :formatter="formatter" />
<vxe-column field="num4" sortable title="中度污染数量" :formatter="formatter" />
<vxe-column field="num5" sortable title="重度污染数量" :formatter="formatter" />
<vxe-column field="num6" sortable title="暂无数据数量" :formatter="formatter" />
</vxe-table>
</div>
</el-dialog>
@@ -88,11 +89,12 @@ const dictData = useDictData()
const dialogVisible: any = ref(false)
const time = ref('1')
const Voltage = dictData.getBasicData('Dev_Voltage_Stand')
const options: any = dictData.getBasicData('Pollution_Statis').filter(item => {
if (item.code == 'V_Harmonic' || item.code == 'I_All') {
return item
}
})
const options: any = dictData.getBasicData('Pollution_Calc')
// .filter(item => {
// if (item.code == 'V_Harmonic' || item.code == 'I_All') {
// return item
// }
// })
const contaminate = ref(options[0].id)
const rowList: any = ref({})
const trendEChart: any = ref({})
@@ -119,57 +121,223 @@ const open = async (row: any) => {
}
const contaminateC = () => {
// rowList.value.deviceInfoParam.ids=[contaminate.value]
getPollutionAlarmData({ ...rowList.value, ids: [contaminate.value] }).then(res => {
let data = []
// getPollutionAlarmData({ ...rowList.value, ids: [contaminate.value] }).then(res => {
// let data = []
let a1 = 0
let a2 = 0
let a3 = 0
let a4 = 0
let a5 = 0
if (rowList.value.isUpToGrid == 0) {
data = res.data.info
} else {
data = res.data.gwInfo
}
for (let i = 0; i < data.length; i++) {
if (data[i] >= 2) {
++a5
} else if (data[i] >= 1.6 && data[i] < 2) {
++a4
} else if (data[i] >= 1.2 && data[i] < 1.6) {
++a3
} else if (data[i] >= 1 && data[i] < 1.2) {
++a2
} else if (data[i] >= 0 && data[i] < 1) {
++a1
// let a1 = 0
// let a2 = 0
// let a3 = 0
// let a4 = 0
// let a5 = 0
// if (rowList.value.isUpToGrid == 0) {
// data = res.data.info
// } else {
// data = res.data.gwInfo
// }
// for (let i = 0; i < data.length; i++) {
// if (data[i] >= 2) {
// ++a5
// } else if (data[i] >= 1.6 && data[i] < 2) {
// ++a4
// } else if (data[i] >= 1.2 && data[i] < 1.6) {
// ++a3
// } else if (data[i] >= 1 && data[i] < 1.2) {
// ++a2
// } else if (data[i] >= 0 && data[i] < 1) {
// ++a1
// }
// }
// let list = [
// {
// value: ((a1 / data.length || 0) * 100).toFixed(2),
// name: `无污染：${a1}座`
// },
// {
// value: ((a2 / data.length || 0) * 100).toFixed(2),
// name: `轻微污染：：${a2}座`
// },
// {
// value: ((a3 / data.length || 0) * 100).toFixed(2),
// name: `轻度污染：${a3}座`
// },
// {
// value: ((a4 / data.length || 0) * 100).toFixed(2),
// name: `中度污染：${a4}座`
// },
// {
// value: ((a5 / data.length || 0) * 100).toFixed(2),
// name: `重度污染：${a5}座`
// }
// ]
// const color = ['#00B07D', '#3399ff', '#ffcc33', '#ff9900', '#A52a2a']
// list.forEach((item, i) => {
// picEChart.value[i] = {
// legend: {
// type: 'scroll',
// orient: 'vertical',
// left: 10,
// top: '10%'
// },
// xAxis: {
// show: false
// },
// yAxis: {
// show: false
// },
// options: {
// toolbox:null,
// dataZoom: null,
// series: [
// {
// type: 'gauge',
// startAngle: 180,
// center: ['50%', '80%'],
// radius: '135%',
// endAngle: 0,
// min: 0,
// max: 100,
// progress: {
// show: true,
// width: 15,
// itemStyle: {
// color: color[i]
// }
// },
// pointer: {
// show: false
// },
// axisLine: {
// lineStyle: {
// width: 15,
// color: [[1, '#f4f4f4']]
// }
// },
// axisTick: {
// show: false
// },
// splitLine: {
// show: false
// },
// axisLabel: {
// show: false
// // distance: 5,
// // color: '#666',
// // fontSize: 12,
// // formatter: function (value: any) {
// // if (value === 0 || value === 100) {
// // return value + '%'
// // }
// // }
// },
// anchor: {
// show: false,
// showAbove: false,
// size: 25,
// itemStyle: {
// borderWidth: 60
// }
// },
// title: {
// show: true,
// offsetCenter: [0, '20%'],
// fontSize: 14
// },
// detail: {
// valueAnimation: true,
// fontSize: 14,
// lineHeight: 20,
// color: color[i],
// fontWeight: 'bold',
// offsetCenter: [0, '-20%'],
// formatter: function (value: any) {
// return '{a|占比} ' + '\n' + value + '{a|%}'
// },
// rich: {
// a: {
// color: '#333',
// fontSize: 16,
// lineHeight: 30
// }
// }
// },
// data: [item]
// }
// ]
// }
// }
// })
// })
getPollutionAlarmList({ ...rowList.value, ids: [contaminate.value] }).then(res => {
tableData.value = res.data.map((item: any) => {
return {
name: item[0],
num: item[1],
num1: item[2],
num2: item[3],
num3: item[4],
num4: item[5],
num5: item[6],
num6: item[7]
}
}
// console.log('🚀 ~ getPollutionAlarmData ~ a1 / data.length:', a1 / data.length)
})
console.log(123, tableData.value)
let data = []
let a1 = tableData.value.reduce((t, item) => t + (item.num1 - 0 || 0), 0)
let a2 = tableData.value.reduce((t, item) => t + (item.num2 - 0 || 0), 0)
let a3 = tableData.value.reduce((t, item) => t + (item.num3 - 0 || 0), 0)
let a4 = tableData.value.reduce((t, item) => t + (item.num4 - 0 || 0), 0)
let a5 = tableData.value.reduce((t, item) => t + (item.num5 - 0 || 0), 0)
let a6 = tableData.value.reduce((t, item) => t + (item.num6 - 0 || 0), 0)
let total = a1 + a2 + a3 + a4 + a5 + a6
// if (rowList.value.isUpToGrid == 0) {
// data = res.data.info
// } else {
// data = res.data.gwInfo
// }
// for (let i = 0; i < data.length; i++) {
// if (data[i] >= 2) {
// ++a5
// } else if (data[i] >= 1.6 && data[i] < 2) {
// ++a4
// } else if (data[i] >= 1.2 && data[i] < 1.6) {
// ++a3
// } else if (data[i] >= 1 && data[i] < 1.2) {
// ++a2
// } else if (data[i] >= 0 && data[i] < 1) {
// ++a1
// }
// }
let list = [
{
value: ((a1 / data.length || 0) * 100).toFixed(2),
value: ((a1 / total || 0) * 100).toFixed(2),
name: `无污染：${a1}座`
},
{
value: ((a2 / data.length || 0) * 100).toFixed(2),
value: ((a2 / total || 0) * 100).toFixed(2),
name: `轻微污染：：${a2}座`
},
{
value: ((a3 / data.length || 0) * 100).toFixed(2),
value: ((a3 / total || 0) * 100).toFixed(2),
name: `轻度污染：${a3}座`
},
{
value: ((a4 / data.length || 0) * 100).toFixed(2),
value: ((a4 / total || 0) * 100).toFixed(2),
name: `中度污染：${a4}座`
},
{
value: ((a5 / data.length || 0) * 100).toFixed(2),
value: ((a5 / total || 0) * 100).toFixed(2),
name: `重度污染：${a5}座`
}
},
{
value: ((a6 / total || 0) * 100).toFixed(2),
name: `暂无数据：${a6}座`
},
]
const color = ['#00B07D', '#3399ff', '#ffcc33', '#ff9900', '#A52a2a']
const color = ['#00B07D', '#3399ff', '#ffcc33', '#ff9900', '#A52a2a','#ccc']
list.forEach((item, i) => {
picEChart.value[i] = {
@@ -186,7 +354,7 @@ const contaminateC = () => {
show: false
},
options: {
toolbox:null,
toolbox: null,
dataZoom: null,
series: [
{
@@ -268,19 +436,6 @@ const contaminateC = () => {
}
})
})
getPollutionAlarmList({ ...rowList.value, ids: [contaminate.value] }).then(res => {
tableData.value = res.data.map((item: any) => {
return {
name: item[0],
num: item[1],
num1: item[2],
num2: item[3],
num3: item[4],
num4: item[5],
num5: item[6]
}
})
})
}
const analysis = (e: any) => {
let time = rowList.value.searchBeginTime?.slice(0, 4) + `-01-01`

2
src/views/pqs/qualityInspeection/panorama/components/details/steadyState.vue
View File

@@ -97,7 +97,7 @@ const url: any = [
new URL(`@/assets/img/SB.png`, import.meta.url)
]
const tableData: any = ref([])
const title = ['电压偏差(超标)', '频率偏差(超标)', '电压总谐波畸变率(超标)', '闪变(超标)', '三相电压不平衡度(超标)']
const title = ['频率偏差(超标)', '电压偏差(超标)', '电压总谐波畸变率(超标)', '闪变(超标)', '三相电压不平衡度(超标)']
const echart = (row: any) => {
let maxList: any = []

242
src/views/pqs/qualityInspeection/panorama/components/map.vue
View File

@@ -128,8 +128,7 @@ const LngLat = [
import { getAssessOverview } from '@/api/device-boot/panorama'
// narimap.publicKey =
// 'MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCRYFEiMdZVgY8+jIjx4GR1QbN7qVgCE0istwPZN8xRqdSV+hePUPIW1k9eCVh9gxIIWHAw2TfNZLb8l0Tmk9OH3XnZ009TNBjzZ2zWLrbjFQzgutKKI2JRLK+CaJbOZ0LiD78QnTo5Zk+ZuQBKgtyFJdp4T5gQS+Mnbj/c4EnK0QIDAQAB'
narimap.publicKey =
'JBb74325ae94dc49358b7d699660b692'
narimap.publicKey = 'JBb74325ae94dc49358b7d699660b692'
narimap.Require(
[
@@ -198,15 +197,16 @@ const Query = () => {
base: {
outline: {
paint: {
'line-color': '#0D867F',
'line-width': 1,
'line-color': '#fff',
'line-width': 2,
'line-opacity': 1
}
},
fill: {
paint: {
'fill-color': '#0D867F',
'fill-opacity': 0.3
// 'fill-opacity': 0.3
'fill-opacity': 0
}
},
label: {
@@ -226,7 +226,7 @@ const Query = () => {
},
outline: {
paint: {
'line-color': '#0D867F',
'line-color': '#fff',
'line-width': 4,
'line-opacity': 1
}
@@ -248,7 +248,8 @@ const Query = () => {
)
powerManageGridMap.value.on('load', function () {
powerLoad()
// 区分区域颜色
// powerLoad()
})
setTimeout(() => {
@@ -262,7 +263,100 @@ const Query = () => {
}, 500)
}, 500)
}
// 添加热力图
const sourceList: any = ref([])
const addSource = async () => {
// const features = [
// {
// type: 'Feature',
// geometry: {
// type: 'Point',
// coordinates: [117.651148, 41.121061]
// },
// properties: {
// value: 64
// }
// }
// ]
console.log('🚀 ~ sourceList:', sourceList.value)
if (map.value.getSource('themeData')) {
map.value.getSource('themeData').setData({
type: 'FeatureCollection',
features: sourceList.value
})
} else {
map.value.addSource('themeData', {
type: 'geojson',
data: {
type: 'FeatureCollection',
features: sourceList.value
}
})
}
if (map.value.getLayer('earthquakes-paint')) {
} else {
map.value.addLayer({
id: 'earthquakes-paint',
type: 'heatmap',
source: 'themeData',
paint: {
/**
* 数据点的影响力，weight=10的点相当于十个weight=1的点
* 下述为插值表达式，输入是点geojson的properties的mag，输出随mag线性增大
*/
'heatmap-weight': [
'interpolate',
['linear'],
['get', 'value'],
0,
0.1,
1,
0.3,
101,
0.5,
1001,
0.7,
10001,
1
],
'heatmap-color': [
'interpolate',
['linear'],
['heatmap-density'],
0,
'rgba(255, 0, 0, 0)',
0.1,
'rgba(7, 91, 243, .8)',
0.3,
'rgba(7, 208, 255, .6)',
0.5,
'rgba(213, 251, 12, .8)',
0.7,
'rgba(255, 191, 0, .8)',
1,
'rgba(255, 0, 0, .8)'
],
'heatmap-intensity': ['interpolate', ['linear'], ['zoom'], 0, 1, 12, 3],
/**
* 该值越大，热力图越平滑，信息越不详细。
* 下述为插值表达式，输出随zoom线性变化，zoom为0时值为8，zoom为9时值为20
*/
'heatmap-radius': 30,
/**
* 透明度，输出为1则不透明
* 下述为插值表达式，输出随zoom线性变化，zoom为5时值为0.8，zoom为12时值为0.4
*/
'heatmap-opacity': 1
},
maxzoom: 12
})
}
}
// 添加变电站线路
const addLine = () => {
//添加电网图层
@@ -569,14 +663,14 @@ const addLayer = () => {
const features = map.value.queryRenderedFeatures(e.point, {
layers: ['spotImg-ZY', 'spotImg-TY', 'spotImg-GJ', 'spotImg-DW']
})
if (features.length > 0) {
popup.value && popup.value.remove()
setTimeout(() => {
deviceCard.value.popup && deviceCard.value.popup.remove()
}, 10)
let data = JSON.parse(features[0].properties.list)
popup.value = new narimap.Popup({ offset: popupOffsets.value, className: 'my-popup' })
.setLngLat([data.lng, data.lat])
.setHTML(
@@ -607,7 +701,7 @@ const addLayer = () => {
</div>`
)
.addTo(map.value)
let html = document.getElementById('ids')
if (html)
html.onclick = function (v: any) {
@@ -629,102 +723,8 @@ const addLayer = () => {
}
})
}
// 测试添加点
const testAddLayer = () => {
// 注册图片
map.value.loadImage(
new URL('@/assets/test5.png', import.meta.url).href, // 图片地址
(error: any, image: any) => {
if (error) throw error
//添加图片到 map.value ，第一个参数为图片设置 id
map.value.addImage('poi5', image)
//添加 layer
map.value.addLayer({
id: 'test',
type: 'symbol',
minzoom: 6.5, //图片层级
source: {
type: 'geojson',
data: {
type: 'FeatureCollection',
features: []
}
},
layout: {
// 为图层设置引用的图片ID
'icon-image': 'poi5',
'icon-pitch-alignment': 'map', //贴地
'icon-ignore-placement': true,
'icon-allow-overlap': true,
'icon-anchor': 'center', // 中心点
'icon-size': ['interpolate', ['linear'], ['zoom'], 6, 0.1, 50, 1] // 图符大小
}
})
}
)
// 添加图片需要先注册图片才能加载
setTimeout(() => {
map.value.getSource('test').setData({
type: 'FeatureCollection',
features: [
{
type: 'Feature',
geometry: {
type: 'Point',
coordinates: [115.3544544, 40.217797]
}
},
{
type: 'Feature',
geometry: {
type: 'Point',
coordinates: [115.4544544, 40.317797]
}
}
]
})
}, 1000)
// 地图连线
map.value.addLayer({
id: 'power-line',
type: 'line',
source: {
type: 'geojson',
data: {
type: 'FeatureCollection',
features: [
{
type: 'Feature',
geometry: {
type: 'MultiLineString', //MultiLineString3层数组可以绘制多条线 LineString2层数组
coordinates: [
[
[117, 39],
[116, 40]
],
[
[116, 39],
[115, 40]
]
]
}
}
]
}
},
paint: {
'line-color': '#ff0000',
'line-width': 3,
'line-opacity': 0.6
}
})
setTimeout(() => {
//先判断是否有图层 'power-line'是图层注册id
if (map.value.getLayer('power-line')) map.value.removeLayer('power-line')
}, 5000)
}
const PollutionList = dictData.getBasicData('Pollution_Calc').filter(item => item.name == '谐波电压')
//添加多个监测点
const addMarkers = async (row?: any, key?: any, num?: any) => {
if (map.value == null) return
@@ -735,6 +735,8 @@ const addMarkers = async (row?: any, key?: any, num?: any) => {
searchBeginTime: datePickerRef.value.timeValue[0],
searchEndTime: datePickerRef.value.timeValue[1],
serverName: 'event-boot',
dicData: [PollutionList[0].id],
isPollution: 1,
statisticalType: {},
...row
}
@@ -744,6 +746,8 @@ const addMarkers = async (row?: any, key?: any, num?: any) => {
let r = 0.0035
let tempFeatureZ: any = []
let tempFeatureT: any = []
sourceList.value = []
data.forEach((item: any) => {
if (item.children.length > 10 && item.children.length < 100) {
r = 0.0055
@@ -792,6 +796,31 @@ const addMarkers = async (row?: any, key?: any, num?: any) => {
break
}
}
let num = 20
if (val.vharmonicValue > 10000) {
num = 100
} else if (val.vharmonicValue > 1000) {
num = 80
} else if (val.vharmonicValue > 100) {
num = 60
} else if (val.vharmonicValue > 0) {
num = 40
} else {
num = 20
}
sourceList.value.push({
type: 'Feature',
geometry: {
type: 'Point',
coordinates: [val.lng, val.lat]
},
properties: {
value: val.vharmonicValue || 0
// value: num //10 //val.vharmonicValue || 0
// value: 0
}
})
})
})
@@ -856,7 +885,10 @@ const addMarkers = async (row?: any, key?: any, num?: any) => {
type: 'FeatureCollection',
features: [...tempFeatureT, ...tempFeatureZ]
})
addSource()
//
}
// 统计弹框数据
const GridDiagramArea = () => {
LngLat.forEach((item: any) => {

10
src/views/pqs/qualityInspeection/panorama/components/mapL.vue
View File

@@ -291,10 +291,10 @@ const countList: any = ref([
{ title: '非电网侧监测点', num: 0, onLineNum: 0, integrityRate: 0 }
]
},
{
title: '上送网公司',
children: [{ title: '电网侧监测点', num: 0, onLineNum: 0, integrityRate: 0 }]
}
// {
// title: '上送网公司',
// children: [{ title: '电网侧监测点', num: 0, onLineNum: 0, integrityRate: 0 }]
// }
])
const linList: any = ref([
{
@@ -394,7 +394,7 @@ const info = async (row: any) => {
getGridDiagramStatistics(form).then(res => {
countList.value[0].children[0] = { title: '电网侧监测点', ...res.data.data[0] }
countList.value[0].children[1] = { title: '非电网侧监测点', ...res.data.data[1] }
countList.value[1].children[0] = { title: '电网侧监测点', ...res.data.gwData[0] }
// countList.value[1].children[0] = { title: '电网侧监测点', ...res.data.gwData[0] }
})
// 监测运行统计
getGridDiagramRunData(form).then(res => {

2
src/views/pqs/qualityInspeection/panorama/components/mapR.vue
View File

@@ -318,7 +318,7 @@ const options = ref([
])
const technology: any = ref({})
const harmonicType = ref('0')
const harmonicType = ref('6')
const transientNum = ref([0, 0])
const options1: any = dictData.getBasicData('Event_Statis').filter(item => {
if (item.code == 'Voltage_Dip' || item.code == 'Voltage_Rise' || item.code == 'Short_Interruptions') {