ECharts 智慧能源监控平台实战
📋 项目概述
构建能源管理与监控系统，可视化展示能源消耗、发电效率、碳排放等关键能源数据。
核心功能
- ✅ 能耗监控：实时用电量/用水量
- ✅ 发电分析：太阳能/风能发电效率
- ✅ 碳排放：碳足迹追踪与预测
- ✅ 负荷预测：用电负荷趋势分析
- ✅ 成本分析：能源费用统计
💻 核心实现
1. 能源消耗桑基图
typescript
// components/Energy/EnergyFlowSankey.tsx
import React, { useMemo } from 'react';
import * as echarts from 'echarts/core';
import { SankeyChart } from 'echarts/charts';
import {
TooltipComponent,
TitleComponent
} from 'echarts/components';
import { CanvasRenderer } from 'echarts/renderers';
import BaseChart from '@/components/Chart/BaseChart';
echarts.use([
SankeyChart,
TooltipComponent,
TitleComponent,
CanvasRenderer
]);
interface EnergyFlow {
source: string;
target: string;
value: number;
unit: string;
}
interface EnergyFlowSankeyProps {
flows: EnergyFlow[];
title?: string;
}
const EnergyFlowSankey: React.FC<EnergyFlowSankeyProps> = ({ flows, title }) => {
const option = useMemo(() => {
// 提取所有节点
const nodeSet = new Set<string>();
flows.forEach(flow => {
nodeSet.add(flow.source);
nodeSet.add(flow.target);
});
const nodes = Array.from(nodeSet).map(name => ({ name }));
return {
title: {
text: title || '能源流向分析',
left: 'center'
},
tooltip: {
trigger: 'item',
triggerOn: 'mousemove',
formatter: (params: any) => {
if (params.dataType === 'edge') {
return `
<div style="padding: 8px;">
<div>${params.data.source} → ${params.data.target}</div>
<div>用量: ${params.data.value.toLocaleString()} kWh</div>
</div>
`;
}
return `
<div style="padding: 8px;">
<div style="font-weight: bold;">${params.data.name}</div>
</div>
`;
}
},
series: {
type: 'sankey',
layout: 'none',
emphasis: {
focus: 'adjacency'
},
data: nodes,
links: flows.map(flow => ({
source: flow.source,
target: flow.target,
value: flow.value
})),
levels: [
{
depth: 0,
itemStyle: { color: '#5470c6' },
lineStyle: { color: 'source', opacity: 0.6 }
},
{
depth: 1,
itemStyle: { color: '#91cc75' },
lineStyle: { color: 'source', opacity: 0.6 }
},
{
depth: 2,
itemStyle: { color: '#fac858' },
lineStyle: { color: 'source', opacity: 0.6 }
},
{
depth: 3,
itemStyle: { color: '#ee6666' },
lineStyle: { color: 'source', opacity: 0.6 }
}
],
lineStyle: {
curveness: 0.5
},
label: {
formatter: '{b}\n{c} kWh'
}
}
};
}, [flows, title]);
return <BaseChart option={option} height={600} />;
};
export default EnergyFlowSankey;1
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2. 发电效率仪表盘
typescript
// components/Energy/PowerGenerationGauge.tsx
import React, { useMemo } from 'react';
import * as echarts from 'echarts/core';
import { GaugeChart, PieChart } from 'echarts/charts';
import BaseChart from '@/components/Chart/BaseChart';
interface PowerGenData {
solar: {
current: number; // 当前发电量 (kWh)
capacity: number; // 装机容量 (kW)
efficiency: number; // 转换效率 (%)
};
wind: {
current: number;
capacity: number;
efficiency: number;
};
totalConsumption: number;
}
interface PowerGenerationGaugeProps {
data: PowerGenData;
}
const PowerGenerationGauge: React.FC<PowerGenerationGaugeProps> = ({ data }) => {
// 太阳能发电仪表盘
const solarOption = useMemo(() => ({
series: [{
type: 'gauge',
min: 0,
max: data.solar.capacity,
startAngle: 210,
endAngle: -30,
radius: '90%',
center: ['50%', '55%'],
progress: {
show: true,
width: 20,
itemStyle: { color: '#fac858' }
},
pointer: {
length: '70%',
width: 6
},
axisLine: {
lineStyle: {
width: 20,
color: [[1, '#e0e6f1']]
}
},
axisTick: { show: false },
splitLine: { show: false },
axisLabel: { show: false },
title: {
offsetCenter: [0, '-20%'],
fontSize: 16,
color: '#666'
},
detail: {
fontSize: 24,
offsetCenter: [0, '10%'],
formatter: (value: number) => {
return `{value|${value.toFixed(1)}}{unit|kWh}`;
},
rich: {
value: {
fontSize: 24,
fontWeight: 'bold',
color: '#fac858'
},
unit: {
fontSize: 14,
color: '#999',
padding: [0, 0, 0, 4]
}
}
},
data: [{
value: data.solar.current,
name: '太阳能发电'
}]
}]
}), [data.solar]);
// 能源结构饼图
const energyMixOption = useMemo(() => {
const total = data.solar.current + data.wind.current;
const solarPercent = (data.solar.current / total * 100).toFixed(1);
const windPercent = (data.wind.current / total * 100).toFixed(1);
return {
tooltip: {
trigger: 'item',
formatter: '{b}: {c} kWh ({d}%)'
},
legend: {
orient: 'vertical',
left: 'left'
},
series: [{
type: 'pie',
radius: ['40%', '70%'],
avoidLabelOverlap: false,
itemStyle: {
borderRadius: 10,
borderColor: '#fff',
borderWidth: 2
},
label: {
show: true,
formatter: '{b}\n{d}%'
},
data: [
{
value: data.solar.current,
name: '太阳能',
itemStyle: { color: '#fac858' }
},
{
value: data.wind.current,
name: '风能',
itemStyle: { color: '#73c0de' }
}
]
}]
};
}, [data]);
return (
<div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: '20px' }}>
<BaseChart option={solarOption} height={250} />
<BaseChart option={energyMixOption} height={250} />
</div>
);
};
export default PowerGenerationGauge;1
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3. 碳排放趋势图
typescript
// components/Energy/CarbonEmissionTrend.tsx
import React, { useMemo } from 'react';
import * as echarts from 'echarts/core';
import { LineChart, BarChart } from 'echarts/charts';
import {
GridComponent,
TooltipComponent,
LegendComponent,
DataZoomComponent,
MarkLineComponent
} from 'echarts/components';
import { CanvasRenderer } from 'echarts/renderers';
import BaseChart from '@/components/Chart/BaseChart';
echarts.use([
LineChart,
BarChart,
GridComponent,
TooltipComponent,
LegendComponent,
DataZoomComponent,
MarkLineComponent,
CanvasRenderer
]);
interface CarbonData {
date: string;
emission: number; // 碳排放量 (吨CO2)
reduction: number; // 减排量 (吨CO2)
intensity: number; // 碳强度 (kgCO2/kWh)
target: number; // 减排目标
}
interface CarbonEmissionTrendProps {
data: CarbonData[];
}
const CarbonEmissionTrend: React.FC<CarbonEmissionTrendProps> = ({ data }) => {
const option = useMemo(() => ({
title: {
text: '碳排放趋势分析',
left: 'center'
},
tooltip: {
trigger: 'axis',
axisPointer: { type: 'cross' }
},
legend: {
data: ['碳排放量', '减排量', '碳强度', '减排目标'],
top: 30
},
grid: [
{
left: '3%',
right: '4%',
height: '50%',
top: '15%',
containLabel: true
},
{
left: '3%',
right: '4%',
height: '30%',
top: '60%',
containLabel: true
}
],
xAxis: [
{
type: 'category',
data: data.map(d => d.date),
axisTick: { alignWithLabel: true }
}
],
yAxis: [
{
type: 'value',
name: '碳排放量 (吨)',
position: 'left',
gridIndex: 0
},
{
type: 'value',
name: '碳强度 (kg/kWh)',
position: 'right',
gridIndex: 0
},
{
type: 'value',
name: '减排量 (吨)',
position: 'left',
gridIndex: 1
}
],
dataZoom: [{
type: 'inside',
start: 0,
end: 100
}],
series: [
{
name: '碳排放量',
type: 'bar',
data: data.map(d => d.emission),
itemStyle: { color: '#ff6b6b' },
xAxisIndex: 0,
yAxisIndex: 0
},
{
name: '减排量',
type: 'bar',
data: data.map(d => d.reduction),
itemStyle: { color: '#52c41a' },
xAxisIndex: 0,
yAxisIndex: 2
},
{
name: '碳强度',
type: 'line',
yAxisIndex: 1,
data: data.map(d => d.intensity),
smooth: true,
itemStyle: { color: '#5470c6' },
markLine: {
data: [
{
type: 'average',
name: '平均值'
}
]
}
},
{
name: '减排目标',
type: 'line',
data: data.map(d => d.target),
lineStyle: {
color: '#faad14',
type: 'dashed',
width: 2
},
symbol: 'none'
}
]
}), [data]);
return <BaseChart option={option} height={600} />;
};
export default CarbonEmissionTrend;1
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4. 用电负荷预测
typescript
// components/Energy/LoadForecast.tsx
import React, { useMemo } from 'react';
import * as echarts from 'echarts/core';
import { LineChart } from 'echarts/charts';
import {
GridComponent,
TooltipComponent,
LegendComponent
} from 'echarts/components';
import { CanvasRenderer } from 'echarts/renderers';
import BaseChart from '@/components/Chart/BaseChart';
echarts.use([
LineChart,
GridComponent,
TooltipComponent,
LegendComponent,
CanvasRenderer
]);
interface LoadForecastData {
time: string;
actual: number | null; // 实际负荷
predicted: number | null; // 预测负荷
upperBound: number | null; // 上界
lowerBound: number | null; // 下界
}
interface LoadForecastProps {
data: LoadForecastData[];
}
const LoadForecast: React.FC<LoadForecastProps> = ({ data }) => {
const option = useMemo(() => ({
title: {
text: '用电负荷预测',
subtext: '阴影区域表示预测区间',
left: 'center'
},
tooltip: {
trigger: 'axis',
formatter: (params: any) => {
let html = `<div style="padding: 8px;">`;
html += `<div style="margin-bottom: 4px;">${params[0].axisValue}</div>`;
params.forEach((param: any) => {
if (param.value !== null && param.value !== undefined) {
html += `<div style="color: ${param.color};">
${param.seriesName}: ${param.value.toFixed(2)} MW
</div>`;
}
});
html += `</div>`;
return html;
}
},
legend: {
data: ['实际负荷', '预测负荷', '预测区间'],
top: 30
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
xAxis: {
type: 'category',
data: data.map(d => d.time),
boundaryGap: false
},
yAxis: {
type: 'value',
name: '负荷 (MW)'
},
series: [
{
name: '实际负荷',
type: 'line',
data: data.map(d => d.actual),
smooth: true,
symbol: 'circle',
symbolSize: 6,
itemStyle: { color: '#5470c6' },
lineStyle: { width: 2 }
},
{
name: '预测负荷',
type: 'line',
data: data.map(d => d.predicted),
smooth: true,
symbol: 'none',
lineStyle: {
color: '#ee6666',
width: 2,
type: 'dashed'
}
},
{
name: '预测区间',
type: 'line',
data: data.map(d => d.upperBound),
smooth: true,
symbol: 'none',
lineStyle: { opacity: 0 },
areaStyle: {
color: 'rgba(238, 102, 102, 0.2)'
},
stack: 'confidence'
},
{
name: '预测区间',
type: 'line',
data: data.map(d => {
if (d.upperBound === null || d.lowerBound === null) return null;
return d.upperBound - d.lowerBound;
}),
smooth: true,
symbol: 'none',
lineStyle: { opacity: 0 },
areaStyle: {
color: 'rgba(238, 102, 102, 0.2)'
},
stack: 'confidence'
}
]
}), [data]);
return <BaseChart option={option} height={400} />;
};
export default LoadForecast;1
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💎 总结
本实战案例展示了智慧能源监控的核心可视化方案：
- 能源流向：桑基图展示能源分配
- 发电监控：可再生能源效率
- 碳排放：碳足迹追踪与减排
- 负荷预测：用电需求预测
适用于智能电网、新能源管理等场景。