HarmonyOS5.0与HarmonyOS SDK AI赋能"离线也能AI辅导"：端云协同助力无网环境学习 原创

import ohos.ai.engine.pluginmodel.PluginModel;
import ohos.ai.engine.model.ModelManager;
import ohos.ai.client.ai.AIService;

public class OfflineLearningAssistant {
    private static final String OFFLINE_MODEL_NAME = "lite_learning_model.hdf";
    
    // 初始化离线模型
    public void initOfflineModel(Context context) {
        PluginModel modelConfig = new PluginModel.Builder()
                .setModelName(OFFLINE_MODEL_NAME)
                .setModelType(PluginModel.MODEL_TYPE_HDF)
                .setDeployOnCloud(false) // 明确指定部署在端侧
                .build();
        
        ModelManager.getInstance(context).loadModel(modelConfig, (resultCode, modelId) -> {
            if (resultCode == AIService.SUCCESS) {
                initLocalModelSuccess(modelId);
            } else {
                fallbackToCloudModel();
            }
        });
    }
    
    private void initLocalModelSuccess(long modelId) {
        // 模型加载成功后启动离线服务
        startOfflineQuestionService();
        scheduleModelUpdateCheck();
    }
}

import ohos.ai.nlu.ResponseResult;
import ohos.ai.nlu.NluRequest;
import ohos.ai.nlu.NluClient;

public class OfflineQAService {
    private static final int MAX_OFFLINE_QUESTIONS = 200;
    private static final int OFFLINE_MODEL_VERSION = 2;
    
    // 处理离线学习请求
    public void handleOfflineQuery(String question) {
        // 尝试本地知识库匹配
        String localAnswer = queryLocalKnowledgeBase(question);
        
        if (localAnswer != null) {
            displayAnswer(localAnswer);
            return;
        }
        
        // 本地知识库未命中，使用轻量AI模型推理
        NluClient client = NluClient.getInstance();
        NluRequest request = new NluRequest.Builder()
                .setQuery(question)
                .setUseCloud(false) // 强制使用离线推理
                .build();
        
        client.analyze(request, new NluClient.Callback() {
            @Override
            public void onResponse(ResponseResult response) {
                if (response.getResultCode() == ResponseResult.SUCCESS) {
                    processModelResponse(response);
                } else {
                    storeForLaterResponse(question);
                    showHintMessage("此问题将在联网后获取更全面的解答");
                }
            }
        });
    }
    
    private void processModelResponse(ResponseResult response) {
        double confidence = response.getConfidence();
        
        if (confidence < 0.7) {
            storeForLaterResponse(response.getQuery());
            showHintMessage("离线答案仅供参考，建议联网后验证");
        }
        
        displayAnswer(response.getAnswer());
    }
}

import ohos.app.Context;
import ohos.data.distributed.common.*;
import ohos.data.distributed.device.DeviceFilterStrategy;
import ohos.data.distributed.device.DeviceInfo;
import ohos.data.distributed.device.DeviceManager;

public class LearningDataSync {
    private static final String SYNC_MODEL_KEY = "sync_learning_models";
    private static final String SYNC_DATA_KEY = "sync_study_data";
    
    public void initSmartSync(Context context) {
        KvManager manager = new KvManager(context);
        KvStoreConfig config = new KvStoreConfig(SYNC_MODEL_KEY);
        config.setSecurityLevel(SecurityLevel.S1);
        
        KvStore syncStore = manager.getKvStore(config, new Options());
        
        // 监听模型更新
        syncStore.subscribe(SubscribeType.SUBSCRIBE_TYPE_ALL, new SyncCallback() {
            @Override
            public void onSyncCompleted(Map<String, byte[]> data) {
                if (data.containsKey("model_update")) {
                    handleModelUpdate(data.get("model_update"));
                }
                if (data.containsKey("pending_answers")) {
                    processPendingAnswers(data.get("pending_answers"));
                }
            }
        });
    }
    
    // 智能模型更新处理
    private void handleModelUpdate(byte[] updateData) {
        // 解析模型更新信息
        ModelUpdate update = ModelUpdate.parseFrom(updateData);
        
        // 检查模型适用条件和存储空间
        if (checkUpdateRequirements(update)) {
            applyModelUpdate(update);
        } else {
            if (update.isMandatory()) {
                manageStorageForUpdate(update);
            } else {
                postponeUpdate(update);
            }
        }
    }
    
    // 处理待回答问题的云侧响应
    private void processPendingAnswers(byte[] answersData) {
        List<PendingAnswer> answers = PendingAnswer.parseFrom(answersData);
        
        for (PendingAnswer answer : answers) {
            if (answer.getUserId().equals(currentUserId)) {
                showCloudAnswerNotification(answer);
            }
        }
    }
}

import ohos.media.image.ImageSource;
import ohos.ai.cv.common.ICvDetector;
import ohos.ai.cv.docrefine.DocRefineDetector;
import ohos.ai.cv.qrcode.IQrCodeDetector;

public class OfflineProblemSolver {
    public void solveMathProblem(ImageSource imageSource) {
        // 图像预处理
        Image image = preprocessImage(imageSource);
        
        // 文字识别
        String problemText = ocrRecognize(image);
        
        if (problemText.isEmpty()) {
            // 尝试公式识别
            MathFormulaDetector formulaDetector = new MathFormulaDetector();
            String latex = formulaDetector.detect(image);
            if (!latex.isEmpty()) {
                solveMathExpression(latex);
            }
        } else {
            analyzeProblemText(problemText);
        }
    }
    
    private void analyzeProblemText(String problemText) {
        // 使用本地数学模型解析
        MathProblem problem = parseMathProblem(problemText);
        
        if (problem.isValid()) {
            generateStepByStepSolution(problem);
        } else {
            // 保存待解决的问题
            savePendingProblem(problemText);
            showHintMessage("已保存问题，联网后将获取详细解析");
        }
    }
    
    // 使用HarmonyOS SDK AI的轻量数学求解器
    private void solveMathExpression(String latex) {
        LocalMathSolver solver = new LocalMathSolver();
        Solution solution = solver.solve(latex);
        
        if (solution != null) {
            displayMathSolution(solution);
        } else {
            storeForCloudSolving(latex);
        }
    }
}

import ohos.data.orm.OrmContext;
import ohos.data.orm.OrmPredicates;
import ohos.ai.learning.analytics.LearningAnalytics;

public class OfflineStudyAnalytics {
    private static final int LOCAL_ANALYSIS_LIMIT = 1000;
    
    public void analyzeStudyRecords(OrmContext context) {
        // 获取最近的学习记录
        OrmPredicates predicates = new OrmPredicates(StudyRecord.class);
        predicates.orderByAsc("timestamp").limit(LOCAL_ANALYSIS_LIMIT);
        
        List<StudyRecord> records = context.query(predicates);
        
        if (records.size() > 50) {
            // 基于本地的轻量模型分析
            LearningAnalytics analytics = new LearningAnalytics();
            StudyAnalysisResult result = analytics.analyzeOffline(records);
            
            // 生成个性化学习建议
            generateLearningSuggestions(result);
            
            // 缓存分析结果用于后续云端同步
            cacheAnalysisResult(result);
        } else {
            // 记录不足时不进行分析
            showHintMessage("继续学习以获得个性化建议");
        }
    }
    
    private void cacheAnalysisResult(StudyAnalysisResult result) {
        // 智能压缩和缓存分析结果
        byte[] compressedData = compressAnalysisData(result);
        
        // 根据设备存储状态调整缓存策略
        if (checkStorageSpace(compressedData.length * 2)) {
            saveLocalCache("study_analysis", compressedData);
        } else {
            // 精简缓存数据
            byte[] simplifiedData = simplifyAnalysisData(result);
            saveLocalCache("study_analysis_light", simplifiedData);
        }
    }
}

import ohos.app.Context;
import ohos.sysability.samgr.SystemAbilityManager;
import ohos.ai.engine.runtime.DeviceCapability;

public class AdaptiveModelLoader {
    private static final String BASIC_MODEL = "model_basic.hdf";
    private static final String ADVANCED_MODEL = "model_advanced.hdf";
    
    public void loadOptimalModel(Context context) {
        // 检查设备性能指标
        DeviceCapability capability = new DeviceCapability();
        int aiScore = capability.calculateAIScore();
        
        // 根据设备能力选择模型
        if (aiScore > 80 && checkMemoryAvailability(256)) {
            loadModel(ADVANCED_MODEL, true);
        } else if (aiScore > 40) {
            loadModel(BASIC_MODEL, true);
        } else {
            loadBasicModelWithLimitations();
        }
        
        // 检查云端是否有优化模型
        if (hasNetwork()) {
            checkCloudOptimizedModel(aiScore);
        }
    }
    
    private void checkCloudOptimizedModel(int deviceScore) {
        CloudModelClient client = new CloudModelClient();
        client.checkOptimizedModel(deviceScore, model -> {
            if (model != null && model.fitsDevice(deviceScore)) {
                downloadAndSwitchModel(model);
            }
        });
    }
}

import ohos.connectivity.net.NetworkStateObserver;
import ohos.connectivity.net.NetworkManager;
import ohos.rpc.RemoteException;

public class SmartBandwidthManager {
    private static final int MIN_UPLOAD_KBPS = 100;
    private static final int MIN_DOWNLOAD_KBPS = 500;
    
    public void initBandwidthOptimization() {
        NetworkManager manager = new NetworkManager();
        
        // 注册网络状态监听
        manager.addNetworkStateObserver(new NetworkStateObserver() {
            @Override
            public void onNetworkStateChanged(NetInfo netInfo) {
                handleNetworkChange(netInfo);
            }
        });
    }
    
    private void handleNetworkChange(NetInfo netInfo) {
        if (netInfo.getNetState() == NetInfo.NET_STATE_UNAVAILABLE) {
            // 无网络环境
            switchToOfflineMode();
        } else {
            // 评估网络质量
            try {
                int downSpeed = manager.getLinkDownBandwidth(netInfo.getNetId());
                int upSpeed = manager.getLinkUpBandwidth(netInfo.getNetId());
                
                // 根据带宽调整同步策略
                if (downSpeed < MIN_DOWNLOAD_KBPS || upSpeed < MIN_UPLOAD_KBPS) {
                    enableLowBandwidthMode();
                } else {
                    enableFullSyncMode();
                }
            } catch (RemoteException e) {
                // 异常处理
            }
        }
    }
    
    private void enableLowBandwidthMode() {
        // 压缩同步数据
        setCompressionLevel(CompressionLevel.HIGH);
        
        // 限制同步频率
        setSyncInterval(3600); // 每小时一次
        
        // 优先同步关键数据
        setSyncPriority(SyncPriority.CRITICAL_ONLY);
    }
}

// 跨设备联邦学习原型
public class FederatedLearningSystem {
    public void startCrossDeviceTraining() {
        // 发现周边设备
        List<DeviceInfo> devices = findLearningDevices();
        
        // 建立安全联邦学习组
        createSecureFLGroup(devices);
        
        // 启动分布式模型训练
        startDistributedTraining();
    }
}