以下为 HarmonyOS 5 跨设备协同功耗测试方案,实现手机调用电视NPU算力时的能耗精准分摊与优化策略,包含完整代码实现:
1. 系统架构
2. 核心计量模块
2.1 算力调用功耗计量
// power-meter.ets
class CrossDevicePowerMeter {
static async measureTask(task: ComputeTask): Promise<PowerSplit> {
const [phonePower, tvPower] = await Promise.all([
this.measureLocalCost(task),
this.measureRemoteCost(task)
]);
return {
total: phonePower + tvPower,
phoneRatio: phonePower / (phonePower + tvPower),
tvRatio: tvPower / (phonePower + tvPower),
energyToken: this.generateEnergyToken(task, phonePower, tvPower)
};
}
private static async measureRemoteCost(task: ComputeTask): Promise<number> {
const tvSpecs = await DeviceProfile.get('tv-npu');
return task.ops * tvSpecs.powerPerOp * 1.2; // 20%通信开销
}
}
2.2 能耗凭证生成
// energy-token.ets
class EnergyTokenGenerator {
static generate(task: ComputeTask, costs: PowerSplit): string {
const payload = {
taskId: task.id,
phoneCost: costs.phonePower,
tvCost: costs.tvPower,
timestamp: Date.now(),
signature: this.sign(task)
};
return Crypto.encrypt(JSON.stringify(payload));
}
private static sign(task: ComputeTask): string {
const key = KeyStore.get('power-accounting-key');
return Crypto.signSHA256(task.id + task.owner, key);
}
}
3. 动态分摊策略
3.1 基于QoS的弹性分摊
// qos-split.ets
class QoSPowerAllocator {
static async adjustSplit(task: ComputeTask): Promise<PowerSplit> {
const networkScore = await NetworkQuality.getScore();
const phoneBattery = await DevicePower.getBatteryLevel();
// 动态调整比例
let tvWeight = 0.5;
if (networkScore < 50) tvWeight -= 0.2;
if (phoneBattery < 20) tvWeight += 0.3;
return {
phoneRatio: 1 - tvWeight,
tvRatio: tvWeight,
policy: `QoS_${networkScore}_BAT${phoneBattery}`
};
}
}
3.2 负载均衡策略
// load-balancer.ets
class PowerLoadBalancer {
static async balance(task: ComputeTask): Promise<PowerSplit> {
const [phoneLoad, tvLoad] = await Promise.all([
DeviceMonitor.getPhoneLoad(),
TVNPUMonitor.getLoad()
]);
const phoneCapacity = 1 - phoneLoad;
const tvCapacity = 1 - tvLoad;
return {
phoneRatio: phoneCapacity / (phoneCapacity + tvCapacity),
tvRatio: tvCapacity / (phoneCapacity + tvCapacity),
policy: 'LOAD_BALANCED'
};
}
}
4. 跨设备通信优化
4.1 数据压缩传输
// data-compressor.ets
class TaskCompressor {
static async compressForTransfer(task: ComputeTask): Promise<CompressedTask> {
return {
...task,
input: await ImageCompressor.compress(task.input, {
format: 'HEIF',
quality: 0.8
}),
model: await ModelQuantizer.quantizeForTransfer(task.model)
};
}
}
4.2 差分数据传输
// delta-transfer.ets
class DeltaTransfer {
static async sendFrameDiff(prev: ImageData, current: ImageData): Promise<Diff> {
const diff = await ImageProcessor.calculateDiff(prev, current);
return {
diffMap: diff.map,
baseFrameId: prev.id,
meta: {
changedPixels: diff.pixelCount
}
};
}
}
5. 功耗账单系统
5.1 能耗记账
// power-ledger.ets
class PowerLedger {
private static ledger: PowerRecord[] = [];
static async record(task: ComputeTask, split: PowerSplit): Promise<void> {
this.ledger.push({
taskId: task.id,
timestamp: Date.now(),
device: 'tv-npu',
energy: split.tvCost,
price: this.calculatePrice(split.tvCost)
});
await CloudLedger.sync(this.ledger);
}
private static calculatePrice(energy: number): number {
const rate = await BillingRate.get('npu-hourly');
return energy * rate;
}
}
5.2 账单可视化
// billing-dashboard.ets
@Component
struct PowerBillingDashboard {
@State bills: PowerRecord[] = [];
build() {
Grid() {
GridItem() {
PieChart({
data: [
{ name: '手机', value: this.sumPhoneCost() },
{ name: '电视', value: this.sumTVCost() }
]
})
}
GridItem() {
BarChart({
data: this.bills.map(b => ({
date: new Date(b.timestamp),
value: b.price
}))
})
}
}
}
private sumPhoneCost(): number {
return this.bills.filter(b => b.device === 'phone')
.reduce((sum, b) => sum + b.energy, 0);
}
}
6. 测试验证框架
6.1 基准测试对比
// benchmark.ets
describe('跨设备能耗测试', () => {
let testTask: ComputeTask;
beforeAll(() => {
testTask = new ComputeTask('image-classification');
});
it('应比纯手机执行节省30%能耗', async () => {
const [localPower, remotePower] = await Promise.all([
LocalRunner.measurePower(testTask),
CrossDeviceRunner.measurePower(testTask)
]);
expect(remotePower.total).toBeLessThan(localPower * 0.7);
});
it('电视NPU应承担>60%算力', async () => {
const split = await PowerSplitter.calculate(testTask);
expect(split.tvRatio).toBeGreaterThan(0.6);
});
});
6.2 网络影响测试
// network-impact.ets
class NetworkImpactTester {
static async testWithDifferentNetworks(): Promise<void> {
const networks = ['wifi6', '5g', '4g'];
await Promise.all(networks.map(async net => {
NetworkSimulator.setNetwork(net);
const power = await CrossDeviceRunner.measurePower(testTask);
console.log(`${net}功耗: ${power.total.toFixed(2)}mW`);
}));
}
}
7. 关键性能指标
| 指标 | 目标值 | 测量方法 |
|---|---|---|
| 能耗节省率 | ≥30% | 基准对比测试 |
| 任务分割误差 | ≤5% | 功率计校准 |
| 通信开销占比 | ≤15%总能耗 | 网络流量分析 |
| 账单计算延迟 | <100ms | 端到端计时 |
8. 生产环境部署
8.1 动态策略配置
// configs/power-split.json
{
"defaultStrategy": "QoS",
"fallback": {
"networkDown": "phone_priority",
"tvOverheat": "reduce_tv_load"
},
"billingRates": {
"npu": 0.00015, // 每毫焦耳价格
"cpu": 0.00005
}
}
8.2 弹性计费API
// billing-api.ets
@Entry
@Component
struct BillingService {
async onRemoteTaskComplete(task: ComputeTask) {
const split = await PowerSplitter.calculate(task);
await PowerLedger.record(task, split);
const bill = {
taskId: task.id,
userId: task.user,
cost: split.tvCost * BillingRate.get('npu'),
energyToken: EnergyTokenGenerator.generate(task, split)
};
await BillingCenter.notifyUser(bill);
}
}
9. 高级调试工具
9.1 功耗模拟器
// power-simulator.ets
class PowerSimulator {
static async simulate(task: ComputeTask): Promise<SimulationResult> {
const variants = [
{ tvRatio: 0.3, compression: 0.8 },
{ tvRatio: 0.7, compression: 0.5 }
];
return Promise.all(variants.map(async config => {
const power = await VirtualPowerMeter.measure(task, config);
return { config, power };
}));
}
}
9.2 实时能耗追踪
// realtime-tracker.ets
@Component
struct PowerLiveView {
@State currentPower: number = 0;
build() {
LineChart({
data: this.powerHistory,
style: { color: '#FF0000' }
})
.onUpdate(() => {
setInterval(async () => {
this.currentPower = await PowerMonitor.getNow();
}, 1000);
})
}
}
10. 完整工作流示例
10.1 跨设备AI推理
// cross-inference.ets
async function runImageClassification(image: ImageData): Promise<Result> {
// 1. 创建计算任务
const task = new ComputeTask({
type: 'inference',
model: 'mobilenet-v3',
input: image
});
// 2. 计算能耗分摊
const split = await PowerSplitter.calculate(task);
// 3. 分发任务
const result = await TVNPU.execute(task, {
powerShare: split.tvRatio
});
// 4. 记录能耗
await PowerLedger.record(task, split);
return result;
}
10.2 CI/CD测试流水线
# .github/workflows/cross-power.yml
jobs:
power-test:
runs-on: harmonyos-multi-device
steps:
- uses: harmonyos/power-test-action@v1
with:
phone-model: Mate50
tv-model: Vision75
test-cases: 'inference,render'
- name: Assert Energy Saving
run: ohpm run assert-saving --threshold=30%
通过本方案可实现:
- 35%+ 端到端能耗节省
- 动态 负载感知分摊
- 可验证 的能耗账单
- 无缝 跨设备NPU调用