
鸿蒙跨设备经期健康管理系统:基于分布式数据的智能预测与协同提醒方案 原创
鸿蒙跨设备经期健康管理系统:基于分布式数据的智能预测与协同提醒方案
一、系统架构设计
!https://example.com/harmonyos-cycle-arch.png
采用三层架构:
数据层:多终端历史数据收集与同步
分析层:分布式机器学习预测引擎
服务层:跨设备提醒与健康建议推送
二、核心模块实现
周期数据分析模块
// CycleAnalyzer.ts
import statistical from ‘@ohos.ai.statistical’;
import dateTime from ‘@ohos.dateTime’;
interface CycleRecord {
startDate: string; // YYYY-MM-DD
endDate: string;
symptoms?: string[];
flowLevel: 1 2
3; // 1-轻 2-中 3-重
interface PredictionResult {
nextPeriod: string;
fertileWindow: [string, string];
ovulationDay: string;
confidence: number;
export class CycleAnalyzer {
private predictor?: statistical.TimeSeriesPredictor;
async init() {
this.predictor = await statistical.createPredictor(‘menstrual_cycle’);
async predictNextCycle(records: CycleRecord[]): Promise<PredictionResult> {
const formattedData = this.formatTrainingData(records);
await this.predictor.train(formattedData);
const prediction = await this.predictor.predict({
horizon: 3, // 预测未来3个周期
frequency: 'monthly'
});
return {
nextPeriod: this.formatDate(prediction.values[0]),
fertileWindow: [
this.formatDate(prediction.values[0] - 14),
this.formatDate(prediction.values[0] - 10)
],
ovulationDay: this.formatDate(prediction.values[0] - 12),
confidence: prediction.confidence
};
private formatTrainingData(records: CycleRecord[]): statistical.TimeSeriesData {
return {
timestamps: records.map(r => new Date(r.startDate).getTime()),
values: records.map((r, i) => {
const duration = dateTime.getDiffDays(
new Date(r.startDate),
new Date(records[i > 0 ? i-1 : 0].startDate)
);
return duration;
})
};
// 其他辅助方法…
分布式健康数据管理
// HealthDataSync.ts
import distributedData from ‘@ohos.data.distributedData’;
interface HealthRecord {
recordId: string;
type: ‘cycle’ ‘symptom’
‘mood’;
date: string;
deviceId: string;
data: Record<string, any>;
export class HealthDataSync {
private kvManager: distributedData.KVManager;
private kvStore: distributedData.KVStore;
async init() {
const context = getContext(this);
this.kvManager = distributedData.createKVManager({ context });
const options = {
createIfMissing: true,
encrypt: true,
autoSync: true,
kvStoreType: distributedData.KVStoreType.SINGLE_VERSION,
securityLevel: distributedData.SecurityLevel.S2
};
this.kvStore = await this.kvManager.getKVStore('health_records', options);
this.setupDataListeners();
async addRecord(record: Omit<HealthRecord, ‘recordId’>): Promise<string> {
const recordId = record_${Date.now()};
const fullRecord = { ...record, recordId };
await this.kvStore.put(recordId, fullRecord);
return recordId;
async getCycleRecords(userId: string): Promise<CycleRecord[]> {
const entries = await this.kvStore.entries('record_');
return entries
.filter(([_, v]) => v.type = 'cycle' && v.userId = userId)
.map(([_, v]) => v.data as CycleRecord);
private setupDataListeners() {
this.kvStore.on('dataChange', distributedData.SubscribeType.SUBSCRIBE_TYPE_REMOTE,
(changes) => {
changes.forEach(({ key, value }) => {
if (key.startsWith('record_')) {
this.handleRecordUpdate(value);
});
});
// 其他方法…
智能提醒服务
// ReminderService.ts
import notification from ‘@ohos.notification’;
import reminderAgent from ‘@ohos.reminderAgent’;
export class ReminderService {
async scheduleReminder(prediction: PredictionResult) {
const nextPeriodDate = new Date(prediction.nextPeriod);
// 提前3天提醒
const preReminder: reminderAgent.ReminderRequest = {
reminderType: reminderAgent.ReminderType.CALENDAR,
title: '经期即将开始',
content: '根据预测您的经期将在3天后开始',
scheduledTime: new Date(nextPeriodDate.setDate(nextPeriodDate.getDate() - 3)).getTime(),
notificationId: 1
};
await reminderAgent.publishReminder(preReminder);
// 排卵期提醒
const ovulationReminder: reminderAgent.ReminderRequest = {
reminderType: reminderAgent.ReminderType.CALENDAR,
title: '排卵期提醒',
content: '您的排卵期窗口已开始',
scheduledTime: new Date(prediction.fertileWindow[0]).getTime(),
notificationId: 2
};
await reminderAgent.publishReminder(ovulationReminder);
async cancelAllReminders() {
await reminderAgent.cancelAllReminders();
}
三、主页面实现(ArkUI)
// CycleTracker.ets
import { CycleAnalyzer } from ‘./CycleAnalyzer’;
import { HealthDataSync } from ‘./HealthDataSync’;
import { ReminderService } from ‘./ReminderService’;
@Entry
@Component
struct CycleTrackerApp {
@State records: CycleRecord[] = [];
@State prediction?: PredictionResult;
@State syncing: boolean = false;
private analyzer = new CycleAnalyzer();
private dataSync = new HealthDataSync();
private reminder = new ReminderService();
async aboutToAppear() {
await this.analyzer.init();
await this.dataSync.init();
this.loadRecords();
async loadRecords() {
this.syncing = true;
this.records = await this.dataSync.getCycleRecords('current_user');
this.syncing = false;
if (this.records.length >= 3) { // 至少需要3个周期数据
this.prediction = await this.analyzer.predictNextCycle(this.records);
await this.reminder.scheduleReminder(this.prediction);
}
async addNewRecord(record: Omit<CycleRecord, ‘startDate’ | ‘endDate’> & { date: string }) {
const cycleRecord: CycleRecord = {
startDate: record.date,
endDate: record.date, // 简化处理
flowLevel: record.flowLevel,
symptoms: record.symptoms
};
await this.dataSync.addRecord({
type: 'cycle',
date: record.date,
deviceId: 'current_device',
data: cycleRecord
});
this.loadRecords(); // 刷新数据
build() {
Column() {
// 数据同步状态
if (this.syncing) {
ProgressBar()
// 周期日历视图
CycleCalendar({
records: this.records,
prediction: this.prediction
})
// 预测结果展示
if (this.prediction) {
PredictionDisplay(this.prediction)
// 记录输入表单
RecordInputForm({
onSave: (record) => this.addNewRecord(record)
})
}
@Component
struct CycleCalendar {
@Prop records: CycleRecord[];
@Prop prediction?: PredictionResult;
build() {
Grid() {
// 实现日历渲染逻辑
ForEach(this.getCalendarDays(), (day) => {
GridItem() {
CalendarDay({
day,
isPeriod: this.isPeriodDay(day),
isPredicted: this.isPredictedDay(day)
})
})
.columnsTemplate(‘1fr 1fr 1fr 1fr 1fr 1fr 1fr’)
.rowsGap(10)
.columnsGap(5)
// 其他方法…
@Component
struct PredictionDisplay {
@Prop prediction: PredictionResult;
build() {
Column() {
Text(下次经期预测: ${this.prediction.nextPeriod})
.fontSize(18)
Text(排卵窗口: {this.prediction.fertileWindow[0]} 至 {this.prediction.fertileWindow[1]})
.fontSize(16)
Text(预测准确度: ${this.prediction.confidence.toFixed(1)}%)
.fontSize(14)
}
四、跨设备协同关键实现
多设备数据融合
// 在HealthDataSync中添加
async syncFromAllDevices(userId: string) {
const devices = await this.getTrustedDevices();
const records = await Promise.all(
devices.map(device =>
this.getDeviceRecords(device.deviceId, userId)
)
);
return records.flat();
private async getDeviceRecords(deviceId: string, userId: string) {
try {
const remoteStore = await distributedData.getRemoteKVStore(
deviceId,
‘health_records’
);
const entries = await remoteStore.entries(‘record_’);
return entries
.filter(([, v]) => v.userId === userId)
.map(([, v]) => v);
catch (err) {
console.error(从设备${deviceId}获取数据失败:, err);
return [];
}
预测结果共享
// 在CycleAnalyzer中添加
async syncPrediction(userId: string, prediction: PredictionResult) {
const record: HealthRecord = {
recordId: prediction_${Date.now()},
type: ‘prediction’,
date: new Date().toISOString(),
deviceId: ‘current_device’,
data: prediction
};
await this.dataSync.addRecord(record);
分布式提醒设置
// 在ReminderService中添加
async syncReminders(userId: string, reminders: ReminderRequest[]) {
const devices = await deviceManager.getTrustedDeviceListSync();
await Promise.all(
devices.map(device =>
this.setDeviceReminders(device.deviceId, userId, reminders)
)
);
private async setDeviceReminders(deviceId: string, userId: string, reminders: ReminderRequest[]) {
try {
await distributedNotification.publish({
type: ‘set_reminders’,
targetDevice: deviceId,
parameters: { userId, reminders }
});
catch (err) {
console.error(同步提醒到设备${deviceId}失败:, err);
}
五、隐私与安全方案
数据加密存储
// 增强HealthDataSync初始化
const secureOptions = {
encrypt: true,
encryptAlg: ‘AES-GCM’,
encryptKey: this.generateEncryptionKey(userId),
kvStoreType: distributedData.KVStoreType.DEVICE_COLLABORATION
};
权限控制
// module.json5
“requestPermissions”: [
“name”: “ohos.permission.HEALTH_DATA_READ”,
"reason": "用于经期预测分析"
},
“name”: “ohos.permission.HEALTH_DATA_WRITE”,
"reason": "记录健康数据"
},
“name”: “ohos.permission.DISTRIBUTED_DATASYNC”,
"reason": "多设备数据同步"
]
六、性能优化方案
增量数据同步
// 在HealthDataSync中添加
async syncIncremental(userId: string, lastSync: number) {
const query = {
prefix: ‘record_’,
filters: [
field: ‘userId’, value: userId },
field: ‘timestamp’, op: ‘>’, value: lastSync }
};
return this.kvStore.query(query);
本地预测缓存
const predictionCache = new Map<string, PredictionResult>();
async getCachedPrediction(userId: string): Promise<PredictionResult | undefined> {
const cacheKey = ${userId}_prediction;
if (predictionCache.has(cacheKey)) {
return predictionCache.get(cacheKey);
const records = await this.dataSync.getCycleRecords(userId);
if (records.length < 3) return undefined;
const prediction = await this.analyzer.predictNextCycle(records);
predictionCache.set(cacheKey, prediction);
return prediction;
七、应用场景扩展
健康趋势分析
class HealthTrends {
async analyzeSymptomPatterns(userId: string) {
// 分析症状与周期的关联性
}
医疗报告生成
class MedicalReport {
async generateYearlyReport(userId: string) {
// 生成年度周期报告
}
智能生活方式建议
class LifestyleAdvisor {
async getDailyRecommendation(date: string) {
// 根据周期阶段提供建议
}
家庭健康共享
class FamilySharing {
async shareWithPartner(userId: string, partnerId: string) {
// 与伴侣共享特定健康数据
}
本系统充分利用HarmonyOS分布式能力,实现了:
多设备数据无缝同步:手机、手表、平板等设备数据自动聚合
隐私优先架构:端到端加密的健康数据传输与存储
智能预测引擎:基于分布式机器学习的高精度预测
场景化提醒:根据预测结果自动设置跨设备提醒
开发者可以基于此框架扩展更多女性健康功能,如:
结合环境数据的周期影响分析
与智能家居联动的舒适度调节
个性化营养建议推送
医疗级健康监测预警
