Initial commit of akmon project

2026-01-20 08:04:15 +08:00
commit 77a2bab985
1309 changed files with 343305 additions and 0 deletions
--- a/uts/utils/chartDataUtils.uts
+++ b/uts/utils/chartDataUtils.uts
@@ -0,0 +1,482 @@
+/**
+ * 健康数据图表处理工具
+ * 提供将原始健康数据转换为ak-charts显示格式的功能
+ */
+
+import type { HealthData } from '../../uni_modules/ak-sbsrv/utssdk/interface.uts'
+import type { ChartOption, ChartType } from '../../uni_modules/ak-charts/interface.uts'
+
+type MultiMetricBucket = {
+  heart?: number[]
+  spo2?: number[]
+  speed?: number[]
+  steps?: number[]
+}
+
+// Re-export ChartOption for use in other modules
+export type { ChartOption, ChartType }
+
+/**
+ * 心率数据处理配置
+ */
+export type HeartRateChartConfig = {
+  maxPoints?: number; // 最大显示点数，默认50
+  frequency?: number; // 数据频率控制，每N个点取一个，默认1（全部）
+  color?: string; // 图表颜色，默认'#FF6384'
+}
+
+/**
+ * 血氧数据处理配置
+ */
+export type Spo2ChartConfig = {
+  maxPoints?: number; // 最大显示点数，默认50
+  frequency?: number; // 数据频率控制，默认1
+  color?: string; // 图表颜色，默认'#36A2EB'
+}
+
+/**
+ * 步数数据处理配置
+ */
+export type StepsChartConfig = {
+  maxPoints?: number; // 最大显示点数，默认50
+  frequency?: number; // 数据频率控制，默认1
+  color?: string; // 图表颜色，默认'#FFCE56'
+}
+
+/**
+ * 处理心率数据为图表格式
+ * @param healthDataArray 健康数据数组
+ * @param config 配置选项
+ * @returns ChartOption对象
+ */
+export function processHeartRateData(
+  healthDataArray: HealthData[],
+  config: HeartRateChartConfig = {}
+): ChartOption {
+  const {
+    maxPoints = 100, // 增加到100个点
+    frequency = 1,
+    color = '#FF6384'
+  } = config
+
+  // 兼容性：如果传入frequency作为时间间隔（1或5秒），则使用时间分桶
+  // frequency字段 legacy 用法仍然支持按索引采样
+  const freq = frequency
+  const useBucket = freq >= 1 && freq <= 10
+
+  if (!useBucket) {
+    // legacy 行为：按索引采样
+    const heartRateData = healthDataArray
+      .filter(data => data.type === 'heart' && data.heartRate != null)
+      .filter((_, index) => index % frequency === 0)
+      .slice(-maxPoints)
+
+    const data = heartRateData.map(item => item.heartRate!)
+    const labels = heartRateData.map((_, index) => ((index + 1) % 10 === 0 ? `${index + 1}` : ''))
+    return { type: 'line' as ChartType, data, labels, color }
+  }
+
+  // 使用时间分桶（默认1s或5s）: 将心率按时间区间取最大值
+  const intervalSeconds = Math.max(1, Math.floor(freq))
+  const intervalMs = intervalSeconds * 1000
+  const buckets = new Map<number, number[]>()
+  for (let i = 0; i < healthDataArray.length; i++) {
+    const d = healthDataArray[i]
+    if (d.type !== 'heart' || d.heartRate == null) continue
+    const timestamp = d.timestamp
+    const ts = (timestamp == null) ? Date.now() : (typeof timestamp === 'number' ? timestamp : new Date(timestamp as string).getTime())
+    const key = Math.floor(ts / intervalMs) * intervalMs
+    if (!buckets.has(key)) buckets.set(key, [])
+    const heartRateValue = d.heartRate != null ? Number.parseFloat(d.heartRate.toString()) : 0
+    buckets.get(key)!.push(heartRateValue)
+  }
+
+  // 按时间排序并只取最新maxPoints
+  const keys: number[] = []
+  buckets.forEach((_, key) => { keys.push(key) })
+  keys.sort((a, b) => a - b)
+  const slicedKeys = keys.slice(-maxPoints)
+
+  const data: number[] = []
+  const labels: string[] = []
+  for (let i = 0; i < slicedKeys.length; i++) {
+    const key = slicedKeys[i]
+      const arr = (buckets.get(key) != null) ? buckets.get(key)! : []
+  let maxValue = NaN
+    for (let j = 0; j < arr.length; j++) {
+        const num = arr[j] as number
+      if (isNaN(num)) continue
+      if (isNaN(maxValue) || num > maxValue) {
+        maxValue = num
+      }
+    }
+    data.push(maxValue)
+    const labelDate = new Date(key)
+    const ss = labelDate.getSeconds().toString().padStart(2, '0')
+    const mm = labelDate.getMinutes().toString().padStart(2, '0')
+    labels.push(`${mm}:${ss}`)
+  }
+  return { type: 'line' as ChartType, data, labels, color }
+}
+
+/**
+ * 处理血氧数据为图表格式
+ * @param healthDataArray 健康数据数组
+ * @param config 配置选项
+ * @returns ChartOption对象
+ */
+export function processSpo2Data(
+  healthDataArray: HealthData[],
+  config: Spo2ChartConfig = {}
+): ChartOption {
+  const {
+    maxPoints = 100, // 增加到100个点
+    frequency = 1,
+    color = '#36A2EB'
+  } = config
+  // 使用时间分桶（如果frequency为秒级1或5）取区间内最大值（或最后值）
+  const freq = frequency
+  const useBucket = freq >= 1 && freq <= 10
+  if (!useBucket) {
+    const spo2Data = healthDataArray
+      .filter(data => data.type === 'spo2' && data.spo2 != null)
+      .filter((_, index) => index % frequency === 0)
+      .slice(-maxPoints)
+    const data = spo2Data.map(item => item.spo2!)
+    const labels = spo2Data.map((_, index) => ((index + 1) % 10 === 0 ? `${index + 1}` : ''))
+    return { type: 'line' as ChartType, data, labels, color }
+  }
+
+  const intervalSeconds = Math.max(1, Math.floor(freq))
+  const intervalMs = intervalSeconds * 1000
+  const buckets = new Map<number, number[]>()
+  for (let i = 0; i < healthDataArray.length; i++) {
+    const d = healthDataArray[i]
+    if (d.type !== 'spo2' || d.spo2 == null) continue
+    const timestamp = d.timestamp
+    const ts = (timestamp == null) ? Date.now() : (typeof timestamp === 'number' ? timestamp : new Date(timestamp as string).getTime())
+    const key = Math.floor(ts / intervalMs) * intervalMs
+    if (!buckets.has(key)) buckets.set(key, [])
+    const spo2Value = d.spo2 != null ? Number.parseFloat(d.spo2.toString()) : 0
+    buckets.get(key)!.push(spo2Value)
+  }
+  const keys: number[] = []
+  buckets.forEach((_, key) => { keys.push(key) })
+  keys.sort((a, b) => a - b)
+  const slicedKeys = keys.slice(-maxPoints)
+
+  const data: number[] = []
+  const labels: string[] = []
+  for (let i = 0; i < slicedKeys.length; i++) {
+    const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue != null) ? bucketValue : []
+  let maxValue = NaN
+    for (let j = 0; j < arr.length; j++) {
+        const num = arr[j] as number
+      if (isNaN(num)) continue
+      if (isNaN(maxValue) || num > maxValue) {
+        maxValue = num
+      }
+    }
+    data.push(maxValue)
+    const labelDate = new Date(key)
+    const ss = labelDate.getSeconds().toString().padStart(2, '0')
+    const mm = labelDate.getMinutes().toString().padStart(2, '0')
+    labels.push(`${mm}:${ss}`)
+  }
+  return { type: 'line' as ChartType, data, labels, color }
+}
+
+/**
+ * 处理步数数据为图表格式
+ * @param healthDataArray 健康数据数组
+ * @param config 配置选项
+ * @returns ChartOption对象
+ */
+export function processStepsData(
+  healthDataArray: HealthData[],
+  config: StepsChartConfig = {}
+): ChartOption {
+  const {
+    maxPoints = 100, // 增加到100个点
+    frequency = 1,
+    color = '#FFCE56'
+  } = config
+  // 步数通常以累计值或增量形式出现，按时间区间取最后一个值（或累加）
+  const freq = frequency
+  const useBucket = freq >= 1 && freq <= 10
+  if (!useBucket) {
+    const stepsData = healthDataArray
+      .filter(data => data.type === 'steps' && data.steps != null)
+      .filter((_, index) => index % frequency === 0)
+      .slice(-maxPoints)
+    const data = stepsData.map(item => item.steps!)
+    const labels = stepsData.map((_, index) => ((index + 1) % 10 === 0 ? `${index + 1}` : ''))
+    return { type: 'bar' as ChartType, data, labels, color }
+  }
+
+  const intervalSeconds = Math.max(1, Math.floor(freq))
+  const intervalMs = intervalSeconds * 1000
+  const buckets = new Map<number, number[]>()
+  for (let i = 0; i < healthDataArray.length; i++) {
+    const d = healthDataArray[i]
+    if (d.type !== 'steps' || d.steps == null) continue
+      const ts = (d.timestamp == null) ? Date.now() : (typeof d.timestamp === 'number' ? d.timestamp : new Date(d.timestamp as string).getTime())
+    const key = Math.floor(ts / intervalMs) * intervalMs
+    if (!buckets.has(key)) buckets.set(key, [])
+    const stepsValue = d.steps != null ? Number.parseFloat(d.steps.toString()) : 0
+    buckets.get(key)!.push(stepsValue)
+  }
+  const keys: number[] = []
+  buckets.forEach((_, key) => { keys.push(key) })
+  keys.sort((a, b) => a - b)
+  const slicedKeys = keys.slice(-maxPoints)
+
+  const data: number[] = []
+  const labels: string[] = []
+  for (let i = 0; i < slicedKeys.length; i++) {
+    const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue != null) ? bucketValue : []
+  let lastValue = NaN
+    if (arr.length > 0) {
+        const candidate = Number.parseFloat(arr[arr.length - 1].toString())
+  lastValue = isNaN(candidate) ? NaN : candidate
+    }
+    data.push(lastValue)
+    const labelDate = new Date(key)
+    const ss = labelDate.getSeconds().toString().padStart(2, '0')
+    const mm = labelDate.getMinutes().toString().padStart(2, '0')
+    labels.push(`${mm}:${ss}`)
+  }
+  return { type: 'bar' as ChartType, data, labels, color }
+}
+
+/**
+ * 创建对齐的多指标图表数据（心率、血氧、速度、步数）
+ * 返回一个数组，包含每个指标对应的 ChartOption，且 labels 保持一致
+ */
+export function processMultiMetricCharts(
+  healthDataArray: HealthData[],
+  intervalSeconds: number = 1,
+  maxPoints: number = 100,
+  metrics: ('heart' | 'spo2' | 'steps' | 'speed')[] = ['heart', 'spo2', 'steps']
+): ChartOption[] {
+  const intervalMs = Math.max(1, intervalSeconds) * 1000
+  const buckets = new Map<number, MultiMetricBucket>()
+
+  for (let i = 0; i < healthDataArray.length; i++) {
+    const d = healthDataArray[i]
+    const ts = (d.timestamp == null) ? Date.now() : (typeof d.timestamp === 'number' ? d.timestamp : new Date(d.timestamp).getTime())
+    const key = Math.floor(ts / intervalMs) * intervalMs
+    if (!buckets.has(key)) buckets.set(key, {})
+    const entry = buckets.get(key)!
+    if (d.type === 'heart' && d.heartRate != null) {
+      if (!entry.heart) entry.heart = []
+      const heartRateValue = d.heartRate != null ? Number.parseFloat(d.heartRate.toString()) : 0
+      entry.heart.push(heartRateValue)
+    }
+    if (d.type === 'spo2' && d.spo2 != null) {
+      if (!entry.spo2) entry.spo2 = []
+      const spo2Value = d.spo2 != null ? Number.parseFloat(d.spo2.toString()) : 0
+      entry.spo2.push(spo2Value)
+    }
+    if ((d.type === 'speed' || d.type === 'heart') && (d as any).speed != null) {
+      if (!entry.speed) entry.speed = []
+      const speedValue = (d as any).speed != null ? Number.parseFloat((d as any).speed.toString()) : 0
+      entry.speed.push(speedValue)
+    }
+    if (d.type === 'steps' && d.steps != null) {
+      if (!entry.steps) entry.steps = []
+      const stepsValue = d.steps != null ? Number.parseFloat(d.steps.toString()) : 0
+      entry.steps.push(stepsValue)
+    }
+  }
+
+  const keys: number[] = []
+  buckets.forEach((_, key) => { keys.push(key) })
+  keys.sort((a, b) => a - b)
+  const slicedKeys = keys.slice(-maxPoints)
+  const labels: string[] = []
+  for (let i = 0; i < slicedKeys.length; i++) {
+    const key = slicedKeys[i]
+    const labelDate = new Date(key)
+    const ss = labelDate.getSeconds().toString().padStart(2, '0')
+    const mm = labelDate.getMinutes().toString().padStart(2, '0')
+    labels.push(`${mm}:${ss}`)
+  }
+
+  const results: ChartOption[] = []
+  if (metrics.includes('heart')) {
+    const data: number[] = []
+    for (let i = 0; i < slicedKeys.length; i++) {
+      const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue?.heart != null) ? bucketValue.heart : []
+  let maxValue = NaN
+      for (let j = 0; j < arr.length; j++) {
+        const num = Number.parseFloat(arr[j].toString())
+        if (isNaN(num)) continue
+        if (isNaN(maxValue) || num > maxValue) {
+          maxValue = num
+        }
+      }
+      data.push(maxValue)
+    }
+    results.push({ type: 'line' as ChartType, data, labels, color: '#FF6B6B' })
+  }
+  if (metrics.includes('spo2')) {
+    const data: number[] = []
+    for (let i = 0; i < slicedKeys.length; i++) {
+      const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue?.spo2 != null) ? bucketValue.spo2 : []
+  let maxValue = NaN
+      for (let j = 0; j < arr.length; j++) {
+        const num = Number(arr[j])
+        if (isNaN(num)) continue
+        if (isNaN(maxValue) || num > maxValue) {
+          maxValue = num
+        }
+      }
+      data.push(maxValue)
+    }
+    results.push({ type: 'line' as ChartType, data, labels, color: '#2196F3' })
+  }
+  if (metrics.includes('speed')) {
+    const data: number[] = []
+    for (let i = 0; i < slicedKeys.length; i++) {
+      const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue?.speed != null) ? bucketValue.speed : []
+  let maxValue = NaN
+      for (let j = 0; j < arr.length; j++) {
+        const num = Number(arr[j])
+        if (isNaN(num)) continue
+        if (isNaN(maxValue) || num > maxValue) {
+          maxValue = num
+        }
+      }
+      data.push(maxValue)
+    }
+    results.push({ type: 'line' as ChartType, data, labels, color: '#FFA726' })
+  }
+  if (metrics.includes('steps')) {
+    const data: number[] = []
+    for (let i = 0; i < slicedKeys.length; i++) {
+      const key = slicedKeys[i]
+      const bucketValue = buckets.get(key)
+      const arr = (bucketValue?.steps != null) ? bucketValue.steps : []
+  let lastValue = NaN
+      if (arr.length > 0) {
+        const candidate = Number(arr[arr.length - 1])
+  lastValue = isNaN(candidate) ? NaN : candidate
+      }
+      data.push(lastValue)
+    }
+    results.push({ type: 'bar' as ChartType, data, labels, color: '#4CAF50' })
+  }
+
+  return results
+}
+
+/**
+ * 创建多指标组合图表数据
+ * @param healthDataArray 健康数据数组
+ * @param metrics 要包含的指标数组
+ * @param maxPoints 最大显示点数
+ * @returns ChartOption对象数组，每个指标一个图表
+ */
+export function createMultiMetricCharts(
+  healthDataArray: HealthData[],
+  metrics: ('heart' | 'spo2' | 'steps')[] = ['heart', 'spo2', 'steps'],
+  maxPoints: number = 100
+): ChartOption[] {
+  const charts: ChartOption[] = []
+
+  if (metrics.includes('heart')) {
+    charts.push(processHeartRateData(healthDataArray, { maxPoints }))
+  }
+
+  if (metrics.includes('spo2')) {
+    charts.push(processSpo2Data(healthDataArray, { maxPoints }))
+  }
+
+  if (metrics.includes('steps')) {
+    charts.push(processStepsData(healthDataArray, { maxPoints }))
+  }
+
+  return charts
+}
+
+/**
+ * 获取数据的最新值
+ * @param healthDataArray 健康数据数组
+ * @param dataType 数据类型
+ * @returns 最新值或null
+ */
+export function getLatestValue(
+  healthDataArray: HealthData[],
+  dataType: 'heart' | 'spo2' | 'steps'
+): number | null {
+  const filteredData = healthDataArray
+    .filter(data => data.type === dataType)
+    .filter(data => {
+      switch (dataType) {
+        case 'heart': return data.heartRate != null
+        case 'spo2': return data.spo2 != null
+        case 'steps': return data.steps != null
+        default: return false
+      }
+    })
+
+  if (filteredData.length === 0) return null
+
+  const latest = filteredData[filteredData.length - 1]
+  switch (dataType) {
+    case 'heart': return latest.heartRate!
+    case 'spo2': return latest.spo2!
+    case 'steps': return latest.steps!
+    default: return null
+  }
+}
+
+/**
+ * 检查是否有足够的数据用于图表显示
+ * @param healthDataArray 健康数据数组
+ * @param dataType 数据类型
+ * @param minPoints 最少点数，默认3
+ * @returns 是否有足够数据
+ */
+export function hasEnoughDataForChart(
+  healthDataArray: HealthData[],
+  dataType: 'heart' | 'spo2' | 'steps',
+  minPoints: number = 3
+): boolean {
+  const filteredData = healthDataArray.filter(data => data.type === dataType)
+  return filteredData.length >= minPoints
+}
+
+/**
+ * 测试数据处理功能（用于开发调试）
+ * @returns 测试结果
+ */
+export function testChartDataProcessing(): string {
+  // 创建测试数据
+  const testData: HealthData[] = [
+    { type: 'heart', heartRate: 72, timestamp: Date.now() },
+    { type: 'spo2', spo2: 98, timestamp: Date.now() },
+    { type: 'steps', steps: 150, timestamp: Date.now() },
+    { type: 'heart', heartRate: 75, timestamp: Date.now() },
+    { type: 'spo2', spo2: 97, timestamp: Date.now() },
+    { type: 'steps', steps: 200, timestamp: Date.now() }
+  ]
+
+  // 测试心率数据处理
+  const heartChart = processHeartRateData(testData, { maxPoints: 100 })
+  const spo2Chart = processSpo2Data(testData, { maxPoints: 100 })
+  const stepsChart = processStepsData(testData, { maxPoints: 100 })
+
+  return `测试完成 - 心率: ${heartChart.data.length}点, 血氧: ${spo2Chart.data.length}点, 步数: ${stepsChart.data.length}点`
+}
--- a/uts/utils/dfu.uts
+++ b/uts/utils/dfu.uts
@@ -0,0 +1,261 @@
+// DFU (Device Firmware Update) 工具类
+// 用于处理设备固件升级过程
+	import supa, { supaReady } from '@/components/supadb/aksupainstance.uts'
+
+export type FirmwareInfo {
+  version: string
+  url: string
+  size: number
+  checksum: string
+  description?: string
+}
+
+//https://ak3.oulog.com/storage/v1/object/public/akmon/OmFw2510221553.zip
+export type FirmwareConfig {
+  default_value: string
+  default_key?: string
+}
+
+export type DFUProgress {
+  stage: 'downloading' | 'verifying' | 'uploading' | 'upgrading' | 'completed'
+  progress: number // 0-100
+  message: string
+}
+
+export class DFUTool {
+  private progressCallback?: (progress: DFUProgress) => void
+
+  constructor(progressCallback?: (progress: DFUProgress) => void) {
+    this.progressCallback = progressCallback
+  }
+
+  /**
+   * 检查是否有可用的固件升级
+   * @param currentHardwareVersion 当前硬件版本
+   * @param currentSoftwareVersion 当前软件版本
+   * @returns 固件信息或null
+   */
+  async checkFirmwareUpdate(currentHardwareVersion: string, currentSoftwareVersion: string): Promise<FirmwareInfo | null> {
+    try {
+      // 从Supabase查询最新固件版本
+      const result = await supa
+        .from('ak_global_config')
+        .select('default_value,default_key', {})
+        .eq('config_key', 'cfwatch_hardware_version')
+        .single()
+		.executeAs<FirmwareConfig>()
+		console.log(result.data)
+		const data = result.data  as FirmwareConfig
+      if (result.error !=null ) {
+        console.log('查询固件版本失败:', result.error)
+        return null
+      }
+	  
+      const firmwareConfig = data
+
+      // 比较版本号，检查是否需要升级
+      if (this.compareVersions(currentSoftwareVersion, firmwareConfig.default_value) < 0) {
+        return {
+          version: firmwareConfig.default_value,
+          url: firmwareConfig.default_key,
+          size: 0,
+          checksum: '',
+          description: ''
+        }
+      }
+
+      return null
+    } catch (error) {
+      console.error('检查固件升级失败:', error)
+      return null
+    }
+  }
+
+  /**
+   * 执行固件升级
+   * @param firmwareInfo 固件信息
+   * @param deviceId 设备ID
+   * @returns 升级结果
+   */
+  async performFirmwareUpdate(firmwareInfo: FirmwareInfo, deviceId: string): Promise<boolean> {
+    try {
+      this.updateProgress('downloading', 0, '开始下载固件...')
+
+      // 下载固件文件
+      const firmwareData = await this.downloadFirmware(firmwareInfo.url)
+
+      this.updateProgress('verifying', 50, '验证固件完整性...')
+
+      // 验证文件完整性
+      if (!this.verifyFirmware(firmwareData, firmwareInfo.checksum)) {
+        throw new Error('固件校验失败')
+      }
+
+      this.updateProgress('uploading', 70, '上传固件到设备...')
+
+      // 执行DFU升级
+      const success = await this.executeDFU(firmwareData, deviceId)
+
+      if (success) {
+        this.updateProgress('completed', 100, '固件升级完成')
+        return true
+      } else {
+        throw new Error('DFU升级失败')
+      }
+    } catch (error) {
+      console.error('固件升级失败:', error)
+      this.updateProgress('completed', 0, `升级失败: ${error}`)
+      return false
+    }
+  }
+
+  /**
+   * 下载固件文件
+   */
+  private async downloadFirmware(url: string): Promise<ArrayBuffer> {
+    return new Promise((resolve, reject) => {
+      uni.downloadFile({
+        url: url,
+        success: (res) => {
+          if (res.statusCode === 200) {
+            // 读取下载的文件
+            uni.getFileSystemManager().readFile({
+              filePath: res.tempFilePath,
+              success: (readRes) => {
+                resolve(readRes.data as ArrayBuffer)
+              },
+              fail: reject
+            })
+          } else {
+            reject(new Error(`下载失败: ${res.statusCode}`))
+          }
+        },
+        fail: reject
+      })
+    })
+  }
+
+  /**
+   * 验证固件完整性
+   */
+  private verifyFirmware(data: ArrayBuffer, expectedChecksum: string): boolean {
+    // 简单的校验和验证（可以根据需要实现更复杂的校验）
+    const hash = this.calculateSimpleHash(data)
+    return hash === expectedChecksum
+  }
+
+  /**
+   * 执行DFU升级
+   */
+  private async executeDFU(firmwareData: ArrayBuffer, deviceId: string): Promise<boolean> {
+    // 这里实现具体的DFU协议
+    // 需要根据设备的DFU协议来实现
+    // 这是一个简化的实现，实际需要根据具体设备协议调整
+
+    try {
+      // 1. 进入DFU模式
+      await this.enterDFUMode(deviceId)
+
+      // 2. 发送固件数据包
+      await this.sendFirmwarePackets(firmwareData, deviceId)
+
+      // 3. 验证升级结果
+      await this.verifyUpdate(deviceId)
+
+      return true
+    } catch (error) {
+      console.error('DFU执行失败:', error)
+      return false
+    }
+  }
+
+  /**
+   * 进入DFU模式
+   */
+  private async enterDFUMode(deviceId: string): Promise<void> {
+    // 实现进入DFU模式的逻辑
+    // 通常需要发送特定的命令到设备
+  }
+
+  /**
+   * 发送固件数据包
+   */
+  private async sendFirmwarePackets(firmwareData: ArrayBuffer, deviceId: string): Promise<void> {
+    // 实现分包发送固件的逻辑
+    const packetSize = 20 // 根据设备协议调整
+    const totalPackets = Math.ceil(firmwareData.byteLength / packetSize)
+
+    for (let i = 0; i < totalPackets; i++) {
+      const start = i * packetSize
+      const end = Math.min(start + packetSize, firmwareData.byteLength)
+      const packet = firmwareData.slice(start, end)
+
+      // 发送数据包
+      await this.sendPacket(packet, deviceId)
+
+      // 更新进度
+      const progress = Math.round((i + 1) / totalPackets * 100)
+      this.updateProgress('uploading', 70 + (progress * 0.2), `上传进度: ${i + 1}/${totalPackets}`)
+    }
+  }
+
+  /**
+   * 发送单个数据包
+   */
+  private async sendPacket(packet: ArrayBuffer, deviceId: string): Promise<void> {
+    // 实现BLE发送数据包的逻辑
+  }
+
+  /**
+   * 验证升级结果
+   */
+  private async verifyUpdate(deviceId: string): Promise<void> {
+    // 实现验证升级结果的逻辑
+  }
+
+  /**
+   * 计算简单校验和
+   */
+  private calculateSimpleHash(data: ArrayBuffer): string {
+    const view = new Uint8Array(data)
+    let hash = 0
+    for (let i = 0; i < view.length; i++) {
+      hash = ((hash << 5) - hash + view[i]) & 0xffffffff
+    }
+    return hash.toString(16)
+  }
+
+  /**
+   * 比较版本号
+   */
+  private compareVersions(version1: string, version2: string): number {
+      const v1Parts = version1.split('.').map((item) => parseInt(item))
+      const v2Parts = version2.split('.').map((item) => parseInt(item))
+
+    for (let i = 0; i < Math.max(v1Parts.length, v2Parts.length); i++) {
+        const v1 = v1Parts[i] != null ? v1Parts[i] : 0
+        const v2 = v2Parts[i] != null ? v2Parts[i] : 0
+
+      if (v1 > v2) return 1
+      if (v1 < v2) return -1
+    }
+
+    return 0
+  }
+
+  /**
+   * 更新进度
+   */
+  private updateProgress(stage: 'downloading' | 'verifying' | 'uploading' | 'upgrading' | 'completed', progress: number, message: string): void {
+      if (this.progressCallback != null) {
+      this.progressCallback({
+        stage,
+        progress: Math.min(100, Math.max(0, progress)),
+        message
+      })
+    }
+  }
+}
+
+// 导出单例实例
+export const dfuTool = new DFUTool(null)