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9 changed files with 354 additions and 14 deletions
+5
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@@ -1,5 +1,10 @@
DATABASE_URL=mysql://user:password@localhost:3306/database
# Optional: external AI SoH prediction service.
# SOH_PREDICTION_API_BASE_URL=http://127.0.0.1:8000
# SOH_PREDICTION_CACHE_TTL_SECONDS=86400
# SOH_PREDICTION_TIMEOUT_MS=10000
# Optional logging knobs (defaults are usually fine):
# LOG_LEVEL=info # trace|debug|info|warning|error|fatal
# LOG_FORMAT=pretty # pretty|json — defaults to TTY ? pretty : json
+11 -1
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@@ -33,6 +33,14 @@ Environment variable:
DATABASE_URL=mysql://user:password@host:3306/database
```
Optional AI prediction service:
```bash
SOH_PREDICTION_API_BASE_URL=http://127.0.0.1:8000
SOH_PREDICTION_CACHE_TTL_SECONDS=86400
SOH_PREDICTION_TIMEOUT_MS=10000
```
Customer table: `ls_battery_info`.
| Column | Type | Meaning |
@@ -56,6 +64,7 @@ Rules:
- `power_status` is normalized to `0 | 1 | 2`.
- Without `mac`, battery list queries return the latest record per `mac`.
- With `mac`, battery list queries return history ordered by `create_time DESC, id DESC`, limited to 500 rows.
- Dashboard may call the external prediction API when `SOH_PREDICTION_API_BASE_URL` is configured. Prediction results are cached in memory by `mac` and latest history record.
## Layout
@@ -67,7 +76,8 @@ src/
│ └── api/ # ORPC handlers
├── server/
│ ├── api/ # contracts / routers / interceptors
── battery/mysql.ts
── battery/mysql.ts
│ └── prediction/client.ts
├── domain/battery.ts
├── client/orpc.ts
└── styles.css
+12 -1
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@@ -25,6 +25,16 @@
DATABASE_URL=mysql://user:password@host:3306/database
```
可选 AI SoH 预测服务:
```bash
SOH_PREDICTION_API_BASE_URL=http://127.0.0.1:8000
SOH_PREDICTION_CACHE_TTL_SECONDS=86400
SOH_PREDICTION_TIMEOUT_MS=10000
```
配置后,服务端会向 `${SOH_PREDICTION_API_BASE_URL}/predict` 发起 POST 请求,并把返回的 `now_soh``month_soh``trmonth_soh``risk_score` 等字段用于看板展示。预测结果按设备和最新采集记录做内存 TTL 缓存,默认 24 小时;如果未配置或预测服务失败,看板仍使用 MySQL 采集数据生成展示,不写入数据库。
## 快速开始
```bash
@@ -66,7 +76,8 @@ src/
├── routes/ # TanStack Start 文件路由:页面 + API 端点
├── server/
│ ├── api/ # ORPC contract / router
── battery/mysql.ts # 甲方 MySQL 只读查询
── battery/mysql.ts # 甲方 MySQL 只读查询
│ └── prediction/client.ts # AI SoH 预测客户端与缓存
├── domain/battery.ts # 电池领域类型、归一化、展示聚合
├── client/orpc.ts # isomorphic ORPC client
└── styles.css # Tailwind v4 entry
+33
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@@ -59,4 +59,37 @@ describe('battery domain', () => {
snapshot.devices.length,
)
})
test('uses AI prediction values when available', () => {
const now = new Date('2026-05-11T00:00:00.000Z')
const items = rows.map(toBatteryInfo)
const snapshot = createDashboardSnapshot(
items,
now,
new Map([
[
'RING-A03',
{
mac: 'RING-A03',
nowSoh: 60,
monthSoh: 58,
trmonthSoh: 52,
riskScore: 40,
riskLevel: 'high',
status: '危险',
modelName: 'XGBoost',
cyclesUsed: 6,
updatedAt: '2026-05-11T00:00:00.000Z',
},
],
]),
)
const predicted = snapshot.devices.find((device) => device.id === 'RING-A03')
expect(predicted?.soh).toBe(60)
expect(predicted?.soh30d).toBe(58)
expect(predicted?.soh90d).toBe(52)
expect(predicted?.status).toBe('预警')
expect(predicted?.firmware).toBe('XGBoost')
})
})
+62 -10
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@@ -90,6 +90,19 @@ export const batteriesResponseSchema = z.object({
})
export type BatteriesResponse = z.infer<typeof batteriesResponseSchema>
export type BatteryPrediction = {
mac: string
nowSoh: number
monthSoh: number
trmonthSoh: number
riskScore: number | null
riskLevel: string | null
status: string | null
modelName: string | null
cyclesUsed: number | null
updatedAt: string | null
}
const round1 = (value: number) => Math.round(value * 10) / 10
const clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value))
@@ -115,6 +128,34 @@ export function getDeviceStatus(soh: number): DeviceStatus {
return '健康'
}
function getDeviceStatusByRisk(prediction: BatteryPrediction): DeviceStatus {
const riskText = `${prediction.riskLevel ?? ''} ${prediction.status ?? ''}`.toLowerCase()
if (
riskText.includes('high') ||
riskText.includes('danger') ||
riskText.includes('危险') ||
riskText.includes('高')
) {
return '预警'
}
if (
riskText.includes('medium') ||
riskText.includes('warning') ||
riskText.includes('关注') ||
riskText.includes('中')
) {
return '关注'
}
if (prediction.riskScore !== null) {
if (prediction.riskScore >= 70) return '预警'
if (prediction.riskScore >= 40) return '关注'
}
return getDeviceStatus(prediction.nowSoh)
}
export function normalizePowerStatus(value: number): PowerStatus {
if (value === 1 || value === 2) return value
return 0
@@ -163,28 +204,35 @@ export function createBatteriesResponse(items: BatteryInfo[], now = new Date()):
}
}
function toFleetUnit(item: BatteryInfo, index: number): FleetUnit {
const soh = item.power
const status = getDeviceStatus(soh)
function toFleetUnit(item: BatteryInfo, index: number, prediction?: BatteryPrediction): FleetUnit {
const soh = prediction?.nowSoh ?? item.power
const status = prediction ? getDeviceStatusByRisk(prediction) : getDeviceStatus(soh)
const riskFactors: string[] = []
if (item.isLowPower || item.power <= 20) riskFactors.push('低电量')
if (item.powerStatus === 1) riskFactors.push('充电中')
if (status === '预警') riskFactors.push('衰减加速')
if (item.remark?.includes('v3.7')) riskFactors.push('旧固件')
if (prediction?.riskLevel) riskFactors.push(`AI风险:${prediction.riskLevel}`)
const thermalPressure = index % 3
const soh30d = round1(clamp(soh - 0.8 - thermalPressure * 0.25, 0, 100))
const soh60d = round1(clamp(soh - 1.7 - thermalPressure * 0.35, 0, 100))
const soh90d = round1(clamp(soh - 2.8 - thermalPressure * 0.45, 0, 100))
const soh30d = prediction
? round1(clamp(prediction.monthSoh, 0, 100))
: round1(clamp(soh - 0.8 - thermalPressure * 0.25, 0, 100))
const soh90d = prediction
? round1(clamp(prediction.trmonthSoh, 0, 100))
: round1(clamp(soh - 2.8 - thermalPressure * 0.45, 0, 100))
const soh60d = prediction ? round1((soh30d + soh90d) / 2) : round1(clamp(soh - 1.7 - thermalPressure * 0.35, 0, 100))
const temperature = round1(29.5 + thermalPressure * 2.1 + (item.isLowPower ? 1.4 : 0))
const chargeEfficiency = round1(clamp(91 + item.power / 12 - riskFactors.length * 1.8, 80, 98))
const riskScore = Math.round(clamp(12 + (100 - soh) * 1.45 + riskFactors.length * 8 + thermalPressure * 4, 8, 96))
const riskScore = Math.round(
clamp(prediction?.riskScore ?? 12 + (100 - soh) * 1.45 + riskFactors.length * 8 + thermalPressure * 4, 8, 96),
)
return {
id: item.devName || item.mac,
batch: item.devModel,
firmware: item.remark ?? 'unknown',
firmware: prediction?.modelName ?? item.remark ?? 'unknown',
cycles: 120 + index * 17 + Math.round((100 - soh) * 2.2),
soh,
soh30d,
@@ -341,8 +389,12 @@ function createStrategies(devices: FleetUnit[]) {
] satisfies DashboardSnapshot['strategies']
}
export function createDashboardSnapshot(items: BatteryInfo[], now = new Date()): DashboardSnapshot {
const devices = items.map(toFleetUnit)
export function createDashboardSnapshot(
items: BatteryInfo[],
now = new Date(),
predictions: ReadonlyMap<string, BatteryPrediction> = new Map(),
): DashboardSnapshot {
const devices = items.map((item, index) => toFleetUnit(item, index, predictions.get(item.mac)))
return {
devices,
+3
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@@ -7,6 +7,9 @@ export const env = createEnv({
LOG_DB: z.stringbool().default(false),
LOG_FORMAT: z.enum(['pretty', 'json']).optional(),
LOG_LEVEL: z.enum(['trace', 'debug', 'info', 'warning', 'error', 'fatal']).default('info'),
SOH_PREDICTION_API_BASE_URL: z.url({ protocol: /^https?$/ }).optional(),
SOH_PREDICTION_CACHE_TTL_SECONDS: z.coerce.number().int().positive().default(86_400),
SOH_PREDICTION_TIMEOUT_MS: z.coerce.number().int().positive().default(10_000),
},
clientPrefix: 'VITE_',
client: {},
+14 -2
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@@ -1,11 +1,23 @@
import { createBatteriesResponse, createDashboardSnapshot } from '@/domain/battery'
import { os } from '@/server/api/server'
import { getBatteryHistory, getLatestBatteryPerDevice } from '@/server/battery/mysql'
import { getBatteryHistory, getBatteryPredictionHistory, getLatestBatteryPerDevice } from '@/server/battery/mysql'
import { isPredictionEnabled, predictSoh } from '@/server/prediction/client'
export const dashboard = os.battery.dashboard.handler(async () => {
const items = await getLatestBatteryPerDevice()
const predictionEntries = isPredictionEnabled()
? await Promise.all(
items.map(async (item) => {
const history = await getBatteryPredictionHistory(item.mac)
const prediction = await predictSoh(item, history)
return createDashboardSnapshot(items)
return prediction ? ([item.mac, prediction] as const) : null
}),
)
: []
const predictions = new Map(predictionEntries.filter((entry) => entry !== null))
return createDashboardSnapshot(items, new Date(), predictions)
})
export const batteries = os.battery.batteries.handler(async ({ input }) => {
+16
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@@ -4,6 +4,7 @@ import { type BatteryInfo, type BatteryInfoSourceRow, toBatteryInfo } from '@/do
import { env } from '@/env'
const historyLimit = 500
const predictionHistoryLimit = 10
type BatteryInfoMysqlRow = RowDataPacket & BatteryInfoSourceRow
@@ -55,6 +56,21 @@ export async function getBatteryHistory(mac: string): Promise<BatteryInfo[]> {
return rows.map(toBatteryInfo)
}
export async function getBatteryPredictionHistory(mac: string): Promise<BatteryInfo[]> {
const [rows] = await getBatteryPool().query<BatteryInfoMysqlRow[]>(
`
SELECT ${sourceColumns}
FROM ls_battery_info
WHERE mac = :mac
ORDER BY create_time DESC, id DESC
LIMIT :limit
`,
{ mac, limit: predictionHistoryLimit },
)
return rows.map(toBatteryInfo).reverse()
}
export async function getLatestBatteryPerDevice(): Promise<BatteryInfo[]> {
const [rows] = await getBatteryPool().query<BatteryInfoMysqlRow[]>(`
SELECT ${sourceColumns}
+198
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@@ -0,0 +1,198 @@
import { z } from 'zod'
import type { BatteryInfo, BatteryPrediction } from '@/domain/battery'
import { env } from '@/env'
import { getLogger } from '@/server/logger'
export const sohPredictionSchema = z.object({
batteryId: z.number().int(),
mac: z.string(),
nowSoh: z.number(),
monthSoh: z.number(),
trmonthSoh: z.number(),
riskScore: z.number().nullable(),
riskLevel: z.string().nullable(),
status: z.string().nullable(),
modelName: z.string().nullable(),
cyclesUsed: z.number().int().nullable(),
updatedAt: z.string().nullable(),
})
export type SohPrediction = BatteryPrediction & z.infer<typeof sohPredictionSchema>
type PredictionHistoryItem = {
cycle: number
charge_capacity_ah: number
discharge_capacity_ah: number
charge_energy_wh: number
discharge_energy_wh: number
charge_time: string
discharge_time: string
coulombic_efficiency_pct: number
timestamp: string
}
type PredictionRequest = {
battery: {
id: number
user_id: number
mac: string
dev_model: string
dev_name: string
is_low_power: string
power_status: 0 | 1 | 2
power: number
create_time: string
remark: string
}
history: PredictionHistoryItem[]
}
const predictionResponseSchema = z.object({
now_soh: z.number(),
month_soh: z.number(),
trmonth_soh: z.number(),
risk_score: z.number().nullable().optional(),
risk_level: z.string().nullable().optional(),
status: z.string().nullable().optional(),
battery_id: z.number().int(),
mac: z.string(),
model_name: z.string().nullable().optional(),
cycles_used: z.number().int().nullable().optional(),
updated_at: z.string().nullable().optional(),
})
type CacheEntry = {
expiresAt: number
value: SohPrediction
}
const logger = getLogger(['prediction'])
const cache = new Map<string, CacheEntry>()
const round2 = (value: number) => Math.round(value * 100) / 100
function normalizeMysqlDateTime(value: string) {
if (!value.includes('T')) return value
return value.slice(0, 19).replace('T', ' ')
}
function createCacheKey(battery: BatteryInfo, history: BatteryInfo[]) {
const latestHistory = history.at(-1)
const latestId = latestHistory?.id ?? battery.id
const latestTime = latestHistory?.createTime ?? battery.createTime
return `${battery.mac}:${latestId}:${latestTime}`
}
function createHistoryItem(item: BatteryInfo, index: number): PredictionHistoryItem {
const sohRatio = Math.max(0.5, Math.min(1, item.power / 100))
const chargeCapacity = round2(3.2 * sohRatio)
const efficiency = round2(Math.max(80, Math.min(99, 92 + item.power / 12 - (item.isLowPower ? 4 : 0))))
const dischargeCapacity = round2(chargeCapacity * (efficiency / 100))
const chargeEnergy = round2(chargeCapacity * 3.75)
const dischargeEnergy = round2(dischargeCapacity * 3.7)
return {
cycle: index + 1,
charge_capacity_ah: chargeCapacity,
discharge_capacity_ah: dischargeCapacity,
charge_energy_wh: chargeEnergy,
discharge_energy_wh: dischargeEnergy,
charge_time: item.powerStatus === 1 ? '01:20:00' : '01:18:00',
discharge_time: item.isLowPower ? '00:58:00' : '01:10:00',
coulombic_efficiency_pct: efficiency,
timestamp: normalizeMysqlDateTime(item.createTime),
}
}
export function createPredictionRequest(battery: BatteryInfo, history: BatteryInfo[]): PredictionRequest | null {
const sourceHistory = history.length > 0 ? history : [battery]
if (sourceHistory.length < 5) return null
return {
battery: {
id: battery.id,
user_id: battery.userId,
mac: battery.mac,
dev_model: battery.devModel,
dev_name: battery.devName,
is_low_power: battery.isLowPower ? 'true' : 'false',
power_status: battery.powerStatus,
power: battery.power,
create_time: normalizeMysqlDateTime(battery.createTime),
remark: battery.remark ?? '',
},
history: sourceHistory.map(createHistoryItem),
}
}
function normalizePrediction(response: z.infer<typeof predictionResponseSchema>): SohPrediction {
return {
batteryId: response.battery_id,
mac: response.mac,
nowSoh: response.now_soh,
monthSoh: response.month_soh,
trmonthSoh: response.trmonth_soh,
riskScore: response.risk_score ?? null,
riskLevel: response.risk_level ?? null,
status: response.status ?? null,
modelName: response.model_name ?? null,
cyclesUsed: response.cycles_used ?? null,
updatedAt: response.updated_at ?? null,
}
}
export function isPredictionEnabled() {
return Boolean(env.SOH_PREDICTION_API_BASE_URL)
}
export async function predictSoh(battery: BatteryInfo, history: BatteryInfo[]): Promise<SohPrediction | null> {
if (!env.SOH_PREDICTION_API_BASE_URL) return null
const request = createPredictionRequest(battery, history)
if (!request) return null
const cacheKey = createCacheKey(battery, history)
const cached = cache.get(cacheKey)
if (cached && cached.expiresAt > Date.now()) return cached.value
const controller = new AbortController()
const timeout = setTimeout(() => controller.abort(), env.SOH_PREDICTION_TIMEOUT_MS)
const baseUrl = env.SOH_PREDICTION_API_BASE_URL.endsWith('/')
? env.SOH_PREDICTION_API_BASE_URL
: `${env.SOH_PREDICTION_API_BASE_URL}/`
const endpoint = new URL('predict', baseUrl)
try {
const response = await fetch(endpoint, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify(request),
signal: controller.signal,
})
if (!response.ok) {
logger.warn('SOH prediction request failed', { mac: battery.mac, status: response.status })
return null
}
const json = await response.json()
const prediction = normalizePrediction(predictionResponseSchema.parse(json))
cache.set(cacheKey, {
expiresAt: Date.now() + env.SOH_PREDICTION_CACHE_TTL_SECONDS * 1000,
value: prediction,
})
return prediction
} catch (error) {
logger.warn('SOH prediction request errored', { mac: battery.mac, error })
return null
} finally {
clearTimeout(timeout)
}
}
export function clearPredictionCache() {
cache.clear()
}