第161集边缘计算车载设备本地预处理运维实战

1. 边缘计算车载设备本地预处理概述

边缘计算车载设备本地预处理是智能交通和车联网的核心技术，通过在车载设备上进行本地数据处理和预处理，减少网络传输延迟，提高系统响应速度，降低云端计算压力。系统具备车载设备管理、本地预处理、实时数据处理、性能优化、监控告警等功能。本文将详细介绍边缘计算车载设备本地预处理的原理、实现方法、性能优化技巧以及在运维实战中的应用。

1.1 边缘计算车载设备本地预处理核心价值

低延迟处理: 毫秒级本地数据处理响应
减少网络传输: 降低数据传输量和网络带宽占用
提高可靠性: 本地处理减少网络依赖
实时性: 支持实时数据处理和决策
成本优化: 减少云端计算和存储成本

1.2 边缘计算车载设备本地预处理场景

车辆状态监控: 实时监控车辆运行状态
驾驶行为分析: 分析驾驶行为和习惯
路况感知: 感知和预测路况信息
安全预警: 实时安全预警和提醒
数据压缩: 压缩和优化数据传输

1.3 边缘计算技术特性

本地计算: 在车载设备上进行本地计算
数据预处理: 对原始数据进行预处理和清洗
实时处理: 支持实时数据处理和决策
离线能力: 支持离线数据处理
资源优化: 优化计算和存储资源使用

2. 边缘计算车载设备本地预处理基础实现

2.1 边缘计算车载设备本地预处理配置类

/**
 * 边缘计算车载设备本地预处理配置类
 * @author 运维实战
 */
@Configuration
@EnableConfigurationProperties(EdgeComputingProperties.class)
public class EdgeComputingConfig {
    
    @Autowired
    private EdgeComputingProperties properties;
    
    /**
     * 边缘计算车载设备本地预处理服务
     * @return 边缘计算车载设备本地预处理服务
     */
    @Bean
    public EdgeComputingService edgeComputingService() {
        return new EdgeComputingService();
    }
    
    /**
     * 车载设备管理服务
     * @return 车载设备管理服务
     */
    @Bean
    public VehicleDeviceService vehicleDeviceService() {
        return new VehicleDeviceService();
    }
    
    /**
     * 本地预处理服务
     * @return 本地预处理服务
     */
    @Bean
    public LocalPreprocessingService localPreprocessingService() {
        return new LocalPreprocessingService();
    }
    
    /**
     * 实时数据处理服务
     * @return 实时数据处理服务
     */
    @Bean
    public RealTimeDataProcessingService realTimeDataProcessingService() {
        return new RealTimeDataProcessingService();
    }
    
    /**
     * 边缘计算监控服务
     * @return 边缘计算监控服务
     */
    @Bean
    public EdgeComputingMonitorService edgeComputingMonitorService() {
        return new EdgeComputingMonitorService();
    }
    
    private static final Logger logger = LoggerFactory.getLogger(EdgeComputingConfig.class);
}

2.2 边缘计算车载设备本地预处理属性配置

/**
 * 边缘计算车载设备本地预处理属性配置
 * @author 运维实战
 */
@Data
@ConfigurationProperties(prefix = "edge.computing")
public class EdgeComputingProperties {
    
    /**
     * 是否启用边缘计算
     */
    private boolean enableEdgeComputing = true;
    
    /**
     * 车载设备ID
     */
    private String vehicleDeviceId;
    
    /**
     * 车载设备类型
     */
    private String vehicleDeviceType = "OBD";
    
    /**
     * 本地预处理模式
     */
    private String localPreprocessingMode = "REAL_TIME";
    
    /**
     * 数据处理批次大小
     */
    private int dataProcessingBatchSize = 100;
    
    /**
     * 数据处理间隔（毫秒）
     */
    private long dataProcessingInterval = 1000;
    
    /**
     * 数据缓存大小
     */
    private int dataCacheSize = 1000;
    
    /**
     * 数据缓存过期时间（毫秒）
     */
    private long dataCacheExpireTime = 300000;
    
    /**
     * 是否启用数据压缩
     */
    private boolean enableDataCompression = true;
    
    /**
     * 数据压缩算法
     */
    private String dataCompressionAlgorithm = "GZIP";
    
    /**
     * 压缩级别
     */
    private int compressionLevel = 6;
    
    /**
     * 是否启用数据过滤
     */
    private boolean enableDataFiltering = true;
    
    /**
     * 数据过滤规则
     */
    private List<String> dataFilteringRules = Arrays.asList("speed > 0", "engine_rpm > 0");
    
    /**
     * 是否启用异常检测
     */
    private boolean enableAnomalyDetection = true;
    
    /**
     * 异常检测阈值
     */
    private double anomalyDetectionThreshold = 3.0;
    
    /**
     * 是否启用实时预警
     */
    private boolean enableRealTimeAlert = true;
    
    /**
     * 预警规则
     */
    private List<String> alertRules = Arrays.asList("speed > 120", "engine_temp > 100");
    
    /**
     * 是否启用离线处理
     */
    private boolean enableOfflineProcessing = true;
    
    /**
     * 离线数据存储路径
     */
    private String offlineDataStoragePath = "/tmp/edge_computing";
    
    /**
     * 离线数据保留天数
     */
    private int offlineDataRetentionDays = 7;
    
    /**
     * 是否启用性能监控
     */
    private boolean enablePerformanceMonitoring = true;
    
    /**
     * 性能监控间隔（毫秒）
     */
    private long performanceMonitoringInterval = 30000;
    
    /**
     * 是否启用资源优化
     */
    private boolean enableResourceOptimization = true;
    
    /**
     * CPU使用率阈值
     */
    private double cpuUsageThreshold = 80.0;
    
    /**
     * 内存使用率阈值
     */
    private double memoryUsageThreshold = 80.0;
    
    /**
     * 磁盘使用率阈值
     */
    private double diskUsageThreshold = 90.0;
    
    /**
     * 是否启用网络优化
     */
    private boolean enableNetworkOptimization = true;
    
    /**
     * 网络传输优化模式
     */
    private String networkOptimizationMode = "BATCH";
    
    /**
     * 批量传输大小
     */
    private int batchTransmissionSize = 50;
    
    /**
     * 传输间隔（毫秒）
     */
    private long transmissionInterval = 5000;
    
    /**
     * 是否启用监控
     */
    private boolean enableMonitoring = true;
    
    /**
     * 监控间隔（毫秒）
     */
    private long monitorInterval = 30000;
    
    /**
     * 是否启用告警
     */
    private boolean enableAlert = true;
    
    /**
     * 处理性能告警阈值（毫秒）
     */
    private long processingPerformanceAlertThreshold = 1000;
    
    /**
     * 资源使用告警阈值
     */
    private double resourceUsageAlertThreshold = 85.0;
    
    /**
     * 网络延迟告警阈值（毫秒）
     */
    private long networkLatencyAlertThreshold = 1000;
}

2.3 车载设备数据模型类

/**
 * 车载设备数据模型类
 * @author 运维实战
 */
@Data
public class VehicleDeviceData {
    
    /**
     * 数据ID
     */
    private String dataId;
    
    /**
     * 车载设备ID
     */
    private String vehicleDeviceId;
    
    /**
     * 车载设备类型
     */
    private String vehicleDeviceType;
    
    /**
     * 车辆ID
     */
    private String vehicleId;
    
    /**
     * 时间戳
     */
    private Long timestamp;
    
    /**
     * 车速（km/h）
     */
    private Double speed;
    
    /**
     * 发动机转速（rpm）
     */
    private Integer engineRpm;
    
    /**
     * 发动机温度（℃）
     */
    private Double engineTemperature;
    
    /**
     * 燃油消耗率（L/100km）
     */
    private Double fuelConsumption;
    
    /**
     * 电池电压（V）
     */
    private Double batteryVoltage;
    
    /**
     * 轮胎压力（kPa）
     */
    private Map<String, Double> tirePressure;
    
    /**
     * 地理位置
     */
    private GeoLocation location;
    
    /**
     * 驾驶行为数据
     */
    private DrivingBehaviorData drivingBehavior;
    
    /**
     * 车辆状态
     */
    private VehicleStatus vehicleStatus;
    
    /**
     * 原始数据
     */
    private Map<String, Object> rawData;
    
    /**
     * 扩展属性
     */
    private Map<String, Object> extendedProperties;
    
    public VehicleDeviceData() {
        this.dataId = UUID.randomUUID().toString();
        this.timestamp = System.currentTimeMillis();
        this.rawData = new HashMap<>();
        this.extendedProperties = new HashMap<>();
    }
    
    public VehicleDeviceData(String vehicleDeviceId, String vehicleId) {
        this();
        this.vehicleDeviceId = vehicleDeviceId;
        this.vehicleId = vehicleId;
    }
    
    /**
     * 验证车载设备数据
     * @return 是否有效
     */
    public boolean validate() {
        if (vehicleDeviceId == null || vehicleDeviceId.isEmpty()) {
            return false;
        }
        
        if (vehicleId == null || vehicleId.isEmpty()) {
            return false;
        }
        
        if (timestamp == null || timestamp <= 0) {
            return false;
        }
        
        if (speed != null && (speed < 0 || speed > 300)) {
            return false;
        }
        
        if (engineRpm != null && (engineRpm < 0 || engineRpm > 10000)) {
            return false;
        }
        
        if (engineTemperature != null && (engineTemperature < -40 || engineTemperature > 150)) {
            return false;
        }
        
        return true;
    }
    
    /**
     * 计算数据质量分数
     * @return 数据质量分数
     */
    public int calculateDataQuality() {
        int quality = 100;
        
        // 根据车速合理性调整质量
        if (speed != null) {
            if (speed > 150) {
                quality -= 20;
            } else if (speed > 120) {
                quality -= 10;
            }
        }
        
        // 根据发动机转速合理性调整质量
        if (engineRpm != null) {
            if (engineRpm > 8000) {
                quality -= 15;
            } else if (engineRpm > 6000) {
                quality -= 5;
            }
        }
        
        // 根据发动机温度合理性调整质量
        if (engineTemperature != null) {
            if (engineTemperature > 120) {
                quality -= 25;
            } else if (engineTemperature > 100) {
                quality -= 10;
            }
        }
        
        return Math.max(0, quality);
    }
    
    /**
     * 添加原始数据
     * @param key 键
     * @param value 值
     */
    public void addRawData(String key, Object value) {
        if (rawData == null) {
            rawData = new HashMap<>();
        }
        rawData.put(key, value);
    }
    
    /**
     * 添加扩展属性
     * @param key 键
     * @param value 值
     */
    public void addExtendedProperty(String key, Object value) {
        if (extendedProperties == null) {
            extendedProperties = new HashMap<>();
        }
        extendedProperties.put(key, value);
    }
    
    /**
     * 获取扩展属性
     * @param key 键
     * @return 值
     */
    public Object getExtendedProperty(String key) {
        return extendedProperties != null ? extendedProperties.get(key) : null;
    }
}

/**
 * 地理位置信息类
 * @author 运维实战
 */
@Data
public class GeoLocation {
    
    private Double longitude;
    private Double latitude;
    private Double altitude;
    private Double accuracy;
    
    public GeoLocation() {}
    
    public GeoLocation(Double longitude, Double latitude) {
        this.longitude = longitude;
        this.latitude = latitude;
    }
    
    public GeoLocation(Double longitude, Double latitude, Double altitude) {
        this.longitude = longitude;
        this.latitude = latitude;
        this.altitude = altitude;
    }
    
    /**
     * 验证地理位置
     * @return 是否有效
     */
    public boolean validate() {
        if (longitude == null || latitude == null) {
            return false;
        }
        
        if (longitude < -180 || longitude > 180) {
            return false;
        }
        
        if (latitude < -90 || latitude > 90) {
            return false;
        }
        
        return true;
    }
}

/**
 * 驾驶行为数据类
 * @author 运维实战
 */
@Data
public class DrivingBehaviorData {
    
    /**
     * 急加速次数
     */
    private Integer rapidAccelerationCount;
    
    /**
     * 急刹车次数
     */
    private Integer rapidBrakingCount;
    
    /**
     * 急转弯次数
     */
    private Integer rapidTurningCount;
    
    /**
     * 超速次数
     */
    private Integer speedingCount;
    
    /**
     * 疲劳驾驶时间（分钟）
     */
    private Integer fatigueDrivingTime;
    
    /**
     * 驾驶评分
     */
    private Double drivingScore;
    
    /**
     * 驾驶风险等级
     */
    private String riskLevel;
    
    public DrivingBehaviorData() {
        this.rapidAccelerationCount = 0;
        this.rapidBrakingCount = 0;
        this.rapidTurningCount = 0;
        this.speedingCount = 0;
        this.fatigueDrivingTime = 0;
        this.drivingScore = 100.0;
        this.riskLevel = "LOW";
    }
    
    /**
     * 计算驾驶评分
     * @return 驾驶评分
     */
    public double calculateDrivingScore() {
        double score = 100.0;
        
        // 根据急加速次数扣分
        if (rapidAccelerationCount != null) {
            score -= rapidAccelerationCount * 2;
        }
        
        // 根据急刹车次数扣分
        if (rapidBrakingCount != null) {
            score -= rapidBrakingCount * 3;
        }
        
        // 根据急转弯次数扣分
        if (rapidTurningCount != null) {
            score -= rapidTurningCount * 2;
        }
        
        // 根据超速次数扣分
        if (speedingCount != null) {
            score -= speedingCount * 5;
        }
        
        // 根据疲劳驾驶时间扣分
        if (fatigueDrivingTime != null) {
            score -= fatigueDrivingTime * 0.5;
        }
        
        return Math.max(0, score);
    }
    
    /**
     * 计算风险等级
     * @return 风险等级
     */
    public String calculateRiskLevel() {
        double score = calculateDrivingScore();
        
        if (score >= 90) {
            return "LOW";
        } else if (score >= 70) {
            return "MEDIUM";
        } else if (score >= 50) {
            return "HIGH";
        } else {
            return "CRITICAL";
        }
    }
}

/**
 * 车辆状态类
 * @author 运维实战
 */
@Data
public class VehicleStatus {
    
    /**
     * 发动机状态
     */
    private String engineStatus;
    
    /**
     * 变速箱状态
     */
    private String transmissionStatus;
    
    /**
     * 制动系统状态
     */
    private String brakeSystemStatus;
    
    /**
     * 转向系统状态
     */
    private String steeringSystemStatus;
    
    /**
     * 轮胎状态
     */
    private String tireStatus;
    
    /**
     * 电池状态
     */
    private String batteryStatus;
    
    /**
     * 燃油系统状态
     */
    private String fuelSystemStatus;
    
    /**
     * 整体健康状态
     */
    private String overallHealthStatus;
    
    /**
     * 故障码列表
     */
    private List<String> faultCodes;
    
    /**
     * 维护提醒
     */
    private List<String> maintenanceReminders;
    
    public VehicleStatus() {
        this.engineStatus = "NORMAL";
        this.transmissionStatus = "NORMAL";
        this.brakeSystemStatus = "NORMAL";
        this.steeringSystemStatus = "NORMAL";
        this.tireStatus = "NORMAL";
        this.batteryStatus = "NORMAL";
        this.fuelSystemStatus = "NORMAL";
        this.overallHealthStatus = "HEALTHY";
        this.faultCodes = new ArrayList<>();
        this.maintenanceReminders = new ArrayList<>();
    }
    
    /**
     * 计算整体健康状态
     * @return 整体健康状态
     */
    public String calculateOverallHealthStatus() {
        int normalCount = 0;
        int totalCount = 7;
        
        if ("NORMAL".equals(engineStatus)) normalCount++;
        if ("NORMAL".equals(transmissionStatus)) normalCount++;
        if ("NORMAL".equals(brakeSystemStatus)) normalCount++;
        if ("NORMAL".equals(steeringSystemStatus)) normalCount++;
        if ("NORMAL".equals(tireStatus)) normalCount++;
        if ("NORMAL".equals(batteryStatus)) normalCount++;
        if ("NORMAL".equals(fuelSystemStatus)) normalCount++;
        
        double healthRatio = (double) normalCount / totalCount;
        
        if (healthRatio >= 0.9) {
            return "HEALTHY";
        } else if (healthRatio >= 0.7) {
            return "GOOD";
        } else if (healthRatio >= 0.5) {
            return "FAIR";
        } else if (healthRatio >= 0.3) {
            return "POOR";
        } else {
            return "CRITICAL";
        }
    }
}

2.4 基础边缘计算车载设备本地预处理服务

/**
 * 基础边缘计算车载设备本地预处理服务
 * @author 运维实战
 */
@Service
public class EdgeComputingService {
    
    @Autowired
    private EdgeComputingProperties properties;
    
    @Autowired
    private VehicleDeviceService vehicleDeviceService;
    
    @Autowired
    private LocalPreprocessingService localPreprocessingService;
    
    @Autowired
    private RealTimeDataProcessingService realTimeDataProcessingService;
    
    @Autowired
    private EdgeComputingMonitorService edgeComputingMonitorService;
    
    private static final Logger logger = LoggerFactory.getLogger(EdgeComputingService.class);
    
    /**
     * 处理车载设备数据
     * @param vehicleDeviceData 车载设备数据
     * @return 处理结果
     */
    public EdgeComputingResult processVehicleDeviceData(VehicleDeviceData vehicleDeviceData) {
        logger.info("处理车载设备数据，设备ID: {}, 车辆ID: {}", 
            vehicleDeviceData.getVehicleDeviceId(), vehicleDeviceData.getVehicleId());
        
        EdgeComputingResult result = new EdgeComputingResult();
        result.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        result.setVehicleId(vehicleDeviceData.getVehicleId());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 验证车载设备数据
            if (!vehicleDeviceData.validate()) {
                result.setSuccess(false);
                result.setError("车载设备数据验证失败");
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 本地预处理
            LocalPreprocessingResult preprocessingResult = localPreprocessingService.preprocessData(vehicleDeviceData);
            
            if (!preprocessingResult.isSuccess()) {
                result.setSuccess(false);
                result.setError("本地预处理失败: " + preprocessingResult.getError());
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 实时数据处理
            RealTimeDataProcessingResult processingResult = realTimeDataProcessingService.processData(preprocessingResult.getProcessedData());
            
            if (!processingResult.isSuccess()) {
                result.setSuccess(false);
                result.setError("实时数据处理失败: " + processingResult.getError());
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 更新车载设备状态
            vehicleDeviceService.updateDeviceStatus(vehicleDeviceData.getVehicleDeviceId(), processingResult.getDeviceStatus());
            
            result.setSuccess(true);
            result.setProcessedData(processingResult.getProcessedData());
            result.setDeviceStatus(processingResult.getDeviceStatus());
            result.setEndTime(System.currentTimeMillis());
            
            // 记录处理指标
            edgeComputingMonitorService.recordDataProcessing(vehicleDeviceData.getVehicleDeviceId(), true);
            
            logger.info("车载设备数据处理完成，设备ID: {}, 成功: {}, 耗时: {}ms", 
                vehicleDeviceData.getVehicleDeviceId(), result.isSuccess(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备数据处理异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            result.setSuccess(false);
            result.setError("车载设备数据处理异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            
            // 记录处理失败指标
            edgeComputingMonitorService.recordDataProcessing(vehicleDeviceData.getVehicleDeviceId(), false);
            
            return result;
        }
    }
    
    /**
     * 批量处理车载设备数据
     * @param vehicleDeviceDataList 车载设备数据列表
     * @return 批量处理结果
     */
    public EdgeComputingBatchResult batchProcessVehicleDeviceData(List<VehicleDeviceData> vehicleDeviceDataList) {
        logger.info("批量处理车载设备数据，数量: {}", vehicleDeviceDataList.size());
        
        EdgeComputingBatchResult result = new EdgeComputingBatchResult();
        result.setTotalCount(vehicleDeviceDataList.size());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 验证和预处理数据
            List<VehicleDeviceData> validDataList = new ArrayList<>();
            List<VehicleDeviceData> invalidDataList = new ArrayList<>();
            
            for (VehicleDeviceData vehicleDeviceData : vehicleDeviceDataList) {
                if (vehicleDeviceData.validate()) {
                    validDataList.add(vehicleDeviceData);
                } else {
                    invalidDataList.add(vehicleDeviceData);
                    logger.warn("车载设备数据验证失败，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
                }
            }
            
            // 批量处理有效数据
            if (!validDataList.isEmpty()) {
                EdgeComputingBatchResult processingResult = realTimeDataProcessingService.batchProcessData(validDataList);
                
                result.setSuccessCount(processingResult.getSuccessCount());
                result.setFailureCount(processingResult.getFailureCount() + invalidDataList.size());
            } else {
                result.setFailureCount(vehicleDeviceDataList.size());
            }
            
            result.setEndTime(System.currentTimeMillis());
            
            // 记录批量处理指标
            edgeComputingMonitorService.recordBatchDataProcessing(vehicleDeviceDataList.size(), result.getSuccessCount());
            
            logger.info("批量车载设备数据处理完成，总数: {}, 成功: {}, 失败: {}, 耗时: {}ms", 
                result.getTotalCount(), result.getSuccessCount(), result.getFailureCount(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("批量车载设备数据处理异常", e);
            result.setSuccess(false);
            result.setError("批量车载设备数据处理异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 获取车载设备状态
     * @param vehicleDeviceId 车载设备ID
     * @return 设备状态
     */
    public VehicleDeviceStatus getVehicleDeviceStatus(String vehicleDeviceId) {
        logger.info("获取车载设备状态，设备ID: {}", vehicleDeviceId);
        
        try {
            VehicleDeviceStatus status = vehicleDeviceService.getDeviceStatus(vehicleDeviceId);
            
            logger.info("获取车载设备状态成功，设备ID: {}, 状态: {}", vehicleDeviceId, status.getStatus());
            
            return status;
            
        } catch (Exception e) {
            logger.error("获取车载设备状态异常，设备ID: {}", vehicleDeviceId, e);
            return null;
        }
    }
    
    /**
     * 更新车载设备配置
     * @param vehicleDeviceId 车载设备ID
     * @param config 配置
     * @return 更新结果
     */
    public EdgeComputingConfigUpdateResult updateVehicleDeviceConfig(String vehicleDeviceId, Map<String, Object> config) {
        logger.info("更新车载设备配置，设备ID: {}", vehicleDeviceId);
        
        EdgeComputingConfigUpdateResult result = new EdgeComputingConfigUpdateResult();
        result.setVehicleDeviceId(vehicleDeviceId);
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 更新设备配置
            boolean updated = vehicleDeviceService.updateDeviceConfig(vehicleDeviceId, config);
            
            result.setSuccess(updated);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("车载设备配置更新完成，设备ID: {}, 成功: {}, 耗时: {}ms", 
                vehicleDeviceId, result.isSuccess(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备配置更新异常，设备ID: {}", vehicleDeviceId, e);
            result.setSuccess(false);
            result.setError("车载设备配置更新异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行边缘计算任务
     * @param task 边缘计算任务
     * @return 执行结果
     */
    public EdgeComputingTaskResult executeEdgeComputingTask(EdgeComputingTask task) {
        logger.info("执行边缘计算任务，任务ID: {}, 任务类型: {}", task.getTaskId(), task.getTaskType());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType(task.getTaskType());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 根据任务类型执行不同的处理
            switch (task.getTaskType().toUpperCase()) {
                case "DATA_PREPROCESSING":
                    result = executeDataPreprocessingTask(task);
                    break;
                case "REAL_TIME_ANALYSIS":
                    result = executeRealTimeAnalysisTask(task);
                    break;
                case "ANOMALY_DETECTION":
                    result = executeAnomalyDetectionTask(task);
                    break;
                case "PREDICTIVE_MAINTENANCE":
                    result = executePredictiveMaintenanceTask(task);
                    break;
                default:
                    result = executeDefaultTask(task);
                    break;
            }
            
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("边缘计算任务执行完成，任务ID: {}, 成功: {}, 耗时: {}ms", 
                task.getTaskId(), result.isSuccess(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("边缘计算任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("边缘计算任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行数据预处理任务
     * @param task 任务
     * @return 执行结果
     */
    private EdgeComputingTaskResult executeDataPreprocessingTask(EdgeComputingTask task) {
        logger.info("执行数据预处理任务，任务ID: {}", task.getTaskId());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType("DATA_PREPROCESSING");
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实现数据预处理逻辑
            Map<String, Object> taskResult = new HashMap<>();
            taskResult.put("task_id", task.getTaskId());
            taskResult.put("task_type", "DATA_PREPROCESSING");
            taskResult.put("processed_count", 100);
            taskResult.put("timestamp", System.currentTimeMillis());
            
            result.setSuccess(true);
            result.setTaskResult(taskResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("数据预处理任务执行完成，任务ID: {}, 耗时: {}ms", task.getTaskId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("数据预处理任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("数据预处理任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行实时分析任务
     * @param task 任务
     * @return 执行结果
     */
    private EdgeComputingTaskResult executeRealTimeAnalysisTask(EdgeComputingTask task) {
        logger.info("执行实时分析任务，任务ID: {}", task.getTaskId());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType("REAL_TIME_ANALYSIS");
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实现实时分析逻辑
            Map<String, Object> taskResult = new HashMap<>();
            taskResult.put("task_id", task.getTaskId());
            taskResult.put("task_type", "REAL_TIME_ANALYSIS");
            taskResult.put("analysis_result", "NORMAL");
            taskResult.put("timestamp", System.currentTimeMillis());
            
            result.setSuccess(true);
            result.setTaskResult(taskResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("实时分析任务执行完成，任务ID: {}, 耗时: {}ms", task.getTaskId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("实时分析任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("实时分析任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行异常检测任务
     * @param task 任务
     * @return 执行结果
     */
    private EdgeComputingTaskResult executeAnomalyDetectionTask(EdgeComputingTask task) {
        logger.info("执行异常检测任务，任务ID: {}", task.getTaskId());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType("ANOMALY_DETECTION");
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实现异常检测逻辑
            Map<String, Object> taskResult = new HashMap<>();
            taskResult.put("task_id", task.getTaskId());
            taskResult.put("task_type", "ANOMALY_DETECTION");
            taskResult.put("anomaly_count", 0);
            taskResult.put("detection_result", "NORMAL");
            taskResult.put("timestamp", System.currentTimeMillis());
            
            result.setSuccess(true);
            result.setTaskResult(taskResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("异常检测任务执行完成，任务ID: {}, 耗时: {}ms", task.getTaskId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("异常检测任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("异常检测任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行预测性维护任务
     * @param task 任务
     * @return 执行结果
     */
    private EdgeComputingTaskResult executePredictiveMaintenanceTask(EdgeComputingTask task) {
        logger.info("执行预测性维护任务，任务ID: {}", task.getTaskId());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType("PREDICTIVE_MAINTENANCE");
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实现预测性维护逻辑
            Map<String, Object> taskResult = new HashMap<>();
            taskResult.put("task_id", task.getTaskId());
            taskResult.put("task_type", "PREDICTIVE_MAINTENANCE");
            taskResult.put("maintenance_score", 85.5);
            taskResult.put("maintenance_recommendation", "NORMAL");
            taskResult.put("timestamp", System.currentTimeMillis());
            
            result.setSuccess(true);
            result.setTaskResult(taskResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("预测性维护任务执行完成，任务ID: {}, 耗时: {}ms", task.getTaskId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("预测性维护任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("预测性维护任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行默认任务
     * @param task 任务
     * @return 执行结果
     */
    private EdgeComputingTaskResult executeDefaultTask(EdgeComputingTask task) {
        logger.info("执行默认任务，任务ID: {}", task.getTaskId());
        
        EdgeComputingTaskResult result = new EdgeComputingTaskResult();
        result.setTaskId(task.getTaskId());
        result.setTaskType("DEFAULT");
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实现默认任务逻辑
            Map<String, Object> taskResult = new HashMap<>();
            taskResult.put("task_id", task.getTaskId());
            taskResult.put("task_type", "DEFAULT");
            taskResult.put("status", "COMPLETED");
            taskResult.put("timestamp", System.currentTimeMillis());
            
            result.setSuccess(true);
            result.setTaskResult(taskResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("默认任务执行完成，任务ID: {}, 耗时: {}ms", task.getTaskId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("默认任务执行异常，任务ID: {}", task.getTaskId(), e);
            result.setSuccess(false);
            result.setError("默认任务执行异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
}

2.5 边缘计算车载设备本地预处理结果类

/**
 * 边缘计算结果类
 * @author 运维实战
 */
@Data
public class EdgeComputingResult {
    
    private boolean success;
    private String vehicleDeviceId;
    private String vehicleId;
    private VehicleDeviceData processedData;
    private VehicleDeviceStatus deviceStatus;
    private String error;
    private long startTime;
    private long endTime;
    
    public EdgeComputingResult() {
        this.success = false;
    }
    
    /**
     * 获取处理耗时
     * @return 处理耗时（毫秒）
     */
    public long getDuration() {
        return endTime - startTime;
    }
    
    /**
     * 是否成功
     * @return 是否成功
     */
    public boolean isSuccess() {
        return success;
    }
}

/**
 * 边缘计算批量结果类
 * @author 运维实战
 */
@Data
public class EdgeComputingBatchResult {
    
    private boolean success;
    private int totalCount;
    private int successCount;
    private int failureCount;
    private String error;
    private long startTime;
    private long endTime;
    
    public EdgeComputingBatchResult() {
        this.success = false;
        this.successCount = 0;
        this.failureCount = 0;
    }
    
    /**
     * 获取处理耗时
     * @return 处理耗时（毫秒）
     */
    public long getDuration() {
        return endTime - startTime;
    }
    
    /**
     * 是否成功
     * @return 是否成功
     */
    public boolean isSuccess() {
        return success;
    }
}

/**
 * 边缘计算配置更新结果类
 * @author 运维实战
 */
@Data
public class EdgeComputingConfigUpdateResult {
    
    private boolean success;
    private String vehicleDeviceId;
    private String message;
    private String error;
    private long startTime;
    private long endTime;
    
    public EdgeComputingConfigUpdateResult() {
        this.success = false;
    }
    
    /**
     * 获取更新耗时
     * @return 更新耗时（毫秒）
     */
    public long getDuration() {
        return endTime - startTime;
    }
    
    /**
     * 是否成功
     * @return 是否成功
     */
    public boolean isSuccess() {
        return success;
    }
}

/**
 * 边缘计算任务结果类
 * @author 运维实战
 */
@Data
public class EdgeComputingTaskResult {
    
    private boolean success;
    private String taskId;
    private String taskType;
    private Map<String, Object> taskResult;
    private String error;
    private long startTime;
    private long endTime;
    
    public EdgeComputingTaskResult() {
        this.success = false;
        this.taskResult = new HashMap<>();
    }
    
    /**
     * 获取执行耗时
     * @return 执行耗时（毫秒）
     */
    public long getDuration() {
        return endTime - startTime;
    }
    
    /**
     * 是否成功
     * @return 是否成功
     */
    public boolean isSuccess() {
        return success;
    }
}

/**
 * 车载设备状态类
 * @author 运维实战
 */
@Data
public class VehicleDeviceStatus {
    
    private String vehicleDeviceId;
    private String status;
    private String healthStatus;
    private String lastUpdateTime;
    private Map<String, Object> statusDetails;
    private List<String> alerts;
    private Map<String, Object> performanceMetrics;
    
    public VehicleDeviceStatus() {
        this.status = "UNKNOWN";
        this.healthStatus = "UNKNOWN";
        this.statusDetails = new HashMap<>();
        this.alerts = new ArrayList<>();
        this.performanceMetrics = new HashMap<>();
    }
    
    public VehicleDeviceStatus(String vehicleDeviceId) {
        this();
        this.vehicleDeviceId = vehicleDeviceId;
    }
}

/**
 * 边缘计算任务类
 * @author 运维实战
 */
@Data
public class EdgeComputingTask {
    
    private String taskId;
    private String taskType;
    private String taskName;
    private String description;
    private Map<String, Object> parameters;
    private String priority;
    private String status;
    private Long createTime;
    private Long startTime;
    private Long endTime;
    private String result;
    
    public EdgeComputingTask() {
        this.taskId = UUID.randomUUID().toString();
        this.priority = "NORMAL";
        this.status = "PENDING";
        this.createTime = System.currentTimeMillis();
        this.parameters = new HashMap<>();
    }
    
    public EdgeComputingTask(String taskType, String taskName) {
        this();
        this.taskType = taskType;
        this.taskName = taskName;
    }
}

3. 高级功能实现

3.1 车载设备管理服务

/**
 * 车载设备管理服务
 * @author 运维实战
 */
@Service
public class VehicleDeviceService {
    
    @Autowired
    private EdgeComputingProperties properties;
    
    @Autowired
    private EdgeComputingMonitorService edgeComputingMonitorService;
    
    private final Map<String, VehicleDeviceStatus> deviceStatusMap = new ConcurrentHashMap<>();
    private final Map<String, Map<String, Object>> deviceConfigMap = new ConcurrentHashMap<>();
    
    private static final Logger logger = LoggerFactory.getLogger(VehicleDeviceService.class);
    
    /**
     * 注册车载设备
     * @param vehicleDeviceId 车载设备ID
     * @param vehicleId 车辆ID
     * @param deviceType 设备类型
     * @return 注册结果
     */
    public VehicleDeviceRegistrationResult registerVehicleDevice(String vehicleDeviceId, String vehicleId, String deviceType) {
        logger.info("注册车载设备，设备ID: {}, 车辆ID: {}, 设备类型: {}", vehicleDeviceId, vehicleId, deviceType);
        
        VehicleDeviceRegistrationResult result = new VehicleDeviceRegistrationResult();
        result.setVehicleDeviceId(vehicleDeviceId);
        result.setVehicleId(vehicleId);
        result.setDeviceType(deviceType);
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 检查设备是否已注册
            if (deviceStatusMap.containsKey(vehicleDeviceId)) {
                result.setSuccess(false);
                result.setError("设备已注册");
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 创建设备状态
            VehicleDeviceStatus deviceStatus = new VehicleDeviceStatus(vehicleDeviceId);
            deviceStatus.setStatus("ACTIVE");
            deviceStatus.setHealthStatus("HEALTHY");
            deviceStatus.setLastUpdateTime(String.valueOf(System.currentTimeMillis()));
            
            // 创建设备配置
            Map<String, Object> deviceConfig = new HashMap<>();
            deviceConfig.put("device_type", deviceType);
            deviceConfig.put("vehicle_id", vehicleId);
            deviceConfig.put("registration_time", System.currentTimeMillis());
            deviceConfig.put("status", "ACTIVE");
            
            // 存储设备状态和配置
            deviceStatusMap.put(vehicleDeviceId, deviceStatus);
            deviceConfigMap.put(vehicleDeviceId, deviceConfig);
            
            result.setSuccess(true);
            result.setDeviceStatus(deviceStatus);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("车载设备注册成功，设备ID: {}, 耗时: {}ms", vehicleDeviceId, result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备注册异常，设备ID: {}", vehicleDeviceId, e);
            result.setSuccess(false);
            result.setError("车载设备注册异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 更新设备状态
     * @param vehicleDeviceId 车载设备ID
     * @param deviceStatus 设备状态
     */
    public void updateDeviceStatus(String vehicleDeviceId, VehicleDeviceStatus deviceStatus) {
        try {
            if (deviceStatusMap.containsKey(vehicleDeviceId)) {
                deviceStatusMap.put(vehicleDeviceId, deviceStatus);
                logger.debug("更新设备状态成功，设备ID: {}", vehicleDeviceId);
            } else {
                logger.warn("设备不存在，无法更新状态，设备ID: {}", vehicleDeviceId);
            }
        } catch (Exception e) {
            logger.error("更新设备状态异常，设备ID: {}", vehicleDeviceId, e);
        }
    }
    
    /**
     * 获取设备状态
     * @param vehicleDeviceId 车载设备ID
     * @return 设备状态
     */
    public VehicleDeviceStatus getDeviceStatus(String vehicleDeviceId) {
        try {
            return deviceStatusMap.get(vehicleDeviceId);
        } catch (Exception e) {
            logger.error("获取设备状态异常，设备ID: {}", vehicleDeviceId, e);
            return null;
        }
    }
    
    /**
     * 更新设备配置
     * @param vehicleDeviceId 车载设备ID
     * @param config 配置
     * @return 是否成功
     */
    public boolean updateDeviceConfig(String vehicleDeviceId, Map<String, Object> config) {
        try {
            if (deviceConfigMap.containsKey(vehicleDeviceId)) {
                Map<String, Object> existingConfig = deviceConfigMap.get(vehicleDeviceId);
                existingConfig.putAll(config);
                existingConfig.put("last_update_time", System.currentTimeMillis());
                
                deviceConfigMap.put(vehicleDeviceId, existingConfig);
                
                logger.info("更新设备配置成功，设备ID: {}", vehicleDeviceId);
                return true;
            } else {
                logger.warn("设备不存在，无法更新配置，设备ID: {}", vehicleDeviceId);
                return false;
            }
        } catch (Exception e) {
            logger.error("更新设备配置异常，设备ID: {}", vehicleDeviceId, e);
            return false;
        }
    }
    
    /**
     * 获取设备配置
     * @param vehicleDeviceId 车载设备ID
     * @return 设备配置
     */
    public Map<String, Object> getDeviceConfig(String vehicleDeviceId) {
        try {
            return deviceConfigMap.get(vehicleDeviceId);
        } catch (Exception e) {
            logger.error("获取设备配置异常，设备ID: {}", vehicleDeviceId, e);
            return null;
        }
    }
    
    /**
     * 注销车载设备
     * @param vehicleDeviceId 车载设备ID
     * @return 注销结果
     */
    public VehicleDeviceUnregistrationResult unregisterVehicleDevice(String vehicleDeviceId) {
        logger.info("注销车载设备，设备ID: {}", vehicleDeviceId);
        
        VehicleDeviceUnregistrationResult result = new VehicleDeviceUnregistrationResult();
        result.setVehicleDeviceId(vehicleDeviceId);
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 检查设备是否存在
            if (!deviceStatusMap.containsKey(vehicleDeviceId)) {
                result.setSuccess(false);
                result.setError("设备不存在");
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 移除设备状态和配置
            deviceStatusMap.remove(vehicleDeviceId);
            deviceConfigMap.remove(vehicleDeviceId);
            
            result.setSuccess(true);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("车载设备注销成功，设备ID: {}, 耗时: {}ms", vehicleDeviceId, result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备注销异常，设备ID: {}", vehicleDeviceId, e);
            result.setSuccess(false);
            result.setError("车载设备注销异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 获取所有设备状态
     * @return 所有设备状态
     */
    public Map<String, VehicleDeviceStatus> getAllDeviceStatus() {
        try {
            return new HashMap<>(deviceStatusMap);
        } catch (Exception e) {
            logger.error("获取所有设备状态异常", e);
            return new HashMap<>();
        }
    }
    
    /**
     * 获取设备数量
     * @return 设备数量
     */
    public int getDeviceCount() {
        try {
            return deviceStatusMap.size();
        } catch (Exception e) {
            logger.error("获取设备数量异常", e);
            return 0;
        }
    }
    
    /**
     * 检查设备是否存在
     * @param vehicleDeviceId 车载设备ID
     * @return 是否存在
     */
    public boolean deviceExists(String vehicleDeviceId) {
        try {
            return deviceStatusMap.containsKey(vehicleDeviceId);
        } catch (Exception e) {
            logger.error("检查设备是否存在异常，设备ID: {}", vehicleDeviceId, e);
            return false;
        }
    }
}

3.2 本地预处理服务

/**
 * 本地预处理服务
 * @author 运维实战
 */
@Service
public class LocalPreprocessingService {
    
    @Autowired
    private EdgeComputingProperties properties;
    
    @Autowired
    private EdgeComputingMonitorService edgeComputingMonitorService;
    
    private static final Logger logger = LoggerFactory.getLogger(LocalPreprocessingService.class);
    
    /**
     * 预处理数据
     * @param vehicleDeviceData 车载设备数据
     * @return 预处理结果
     */
    public LocalPreprocessingResult preprocessData(VehicleDeviceData vehicleDeviceData) {
        logger.info("预处理车载设备数据，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
        
        LocalPreprocessingResult result = new LocalPreprocessingResult();
        result.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 数据验证
            if (!vehicleDeviceData.validate()) {
                result.setSuccess(false);
                result.setError("数据验证失败");
                result.setEndTime(System.currentTimeMillis());
                return result;
            }
            
            // 数据清洗
            VehicleDeviceData cleanedData = cleanData(vehicleDeviceData);
            
            // 数据过滤
            if (properties.isEnableDataFiltering()) {
                if (!filterData(cleanedData)) {
                    result.setSuccess(false);
                    result.setError("数据过滤失败");
                    result.setEndTime(System.currentTimeMillis());
                    return result;
                }
            }
            
            // 数据压缩
            if (properties.isEnableDataCompression()) {
                cleanedData = compressData(cleanedData);
            }
            
            // 异常检测
            if (properties.isEnableAnomalyDetection()) {
                boolean isAnomaly = detectAnomaly(cleanedData);
                if (isAnomaly) {
                    logger.warn("检测到异常数据，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
                    cleanedData.addExtendedProperty("is_anomaly", true);
                } else {
                    cleanedData.addExtendedProperty("is_anomaly", false);
                }
            }
            
            // 数据质量评估
            int dataQuality = cleanedData.calculateDataQuality();
            cleanedData.addExtendedProperty("data_quality", dataQuality);
            
            result.setSuccess(true);
            result.setProcessedData(cleanedData);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("车载设备数据预处理完成，设备ID: {}, 成功: {}, 耗时: {}ms", 
                vehicleDeviceData.getVehicleDeviceId(), result.isSuccess(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备数据预处理异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            result.setSuccess(false);
            result.setError("车载设备数据预处理异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 数据清洗
     * @param vehicleDeviceData 车载设备数据
     * @return 清洗后的数据
     */
    private VehicleDeviceData cleanData(VehicleDeviceData vehicleDeviceData) {
        VehicleDeviceData cleanedData = new VehicleDeviceData();
        
        // 复制基本字段
        cleanedData.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        cleanedData.setVehicleDeviceType(vehicleDeviceData.getVehicleDeviceType());
        cleanedData.setVehicleId(vehicleDeviceData.getVehicleId());
        cleanedData.setTimestamp(vehicleDeviceData.getTimestamp());
        
        // 清洗数值字段
        cleanedData.setSpeed(cleanNumericValue(vehicleDeviceData.getSpeed(), 0.0, 300.0));
        cleanedData.setEngineRpm(cleanIntegerValue(vehicleDeviceData.getEngineRpm(), 0, 10000));
        cleanedData.setEngineTemperature(cleanNumericValue(vehicleDeviceData.getEngineTemperature(), -40.0, 150.0));
        cleanedData.setFuelConsumption(cleanNumericValue(vehicleDeviceData.getFuelConsumption(), 0.0, 50.0));
        cleanedData.setBatteryVoltage(cleanNumericValue(vehicleDeviceData.getBatteryVoltage(), 0.0, 50.0));
        
        // 清洗地理位置
        if (vehicleDeviceData.getLocation() != null && vehicleDeviceData.getLocation().validate()) {
            cleanedData.setLocation(vehicleDeviceData.getLocation());
        }
        
        // 清洗驾驶行为数据
        if (vehicleDeviceData.getDrivingBehavior() != null) {
            cleanedData.setDrivingBehavior(vehicleDeviceData.getDrivingBehavior());
        }
        
        // 清洗车辆状态
        if (vehicleDeviceData.getVehicleStatus() != null) {
            cleanedData.setVehicleStatus(vehicleDeviceData.getVehicleStatus());
        }
        
        // 清洗原始数据
        if (vehicleDeviceData.getRawData() != null) {
            cleanedData.setRawData(new HashMap<>(vehicleDeviceData.getRawData()));
        }
        
        // 清洗扩展属性
        if (vehicleDeviceData.getExtendedProperties() != null) {
            cleanedData.setExtendedProperties(new HashMap<>(vehicleDeviceData.getExtendedProperties()));
        }
        
        return cleanedData;
    }
    
    /**
     * 清洗数值
     * @param value 原值
     * @param min 最小值
     * @param max 最大值
     * @return 清洗后的值
     */
    private Double cleanNumericValue(Double value, double min, double max) {
        if (value == null) {
            return null;
        }
        
        if (value < min || value > max) {
            return null;
        }
        
        return value;
    }
    
    /**
     * 清洗整数
     * @param value 原值
     * @param min 最小值
     * @param max 最大值
     * @return 清洗后的值
     */
    private Integer cleanIntegerValue(Integer value, int min, int max) {
        if (value == null) {
            return null;
        }
        
        if (value < min || value > max) {
            return null;
        }
        
        return value;
    }
    
    /**
     * 数据过滤
     * @param vehicleDeviceData 车载设备数据
     * @return 是否通过过滤
     */
    private boolean filterData(VehicleDeviceData vehicleDeviceData) {
        try {
            for (String rule : properties.getDataFilteringRules()) {
                if (!evaluateFilterRule(vehicleDeviceData, rule)) {
                    return false;
                }
            }
            return true;
        } catch (Exception e) {
            logger.error("数据过滤异常", e);
            return false;
        }
    }
    
    /**
     * 评估过滤规则
     * @param vehicleDeviceData 车载设备数据
     * @param rule 过滤规则
     * @return 是否通过
     */
    private boolean evaluateFilterRule(VehicleDeviceData vehicleDeviceData, String rule) {
        try {
            // 简单的规则评估逻辑
            if (rule.contains("speed > 0")) {
                return vehicleDeviceData.getSpeed() != null && vehicleDeviceData.getSpeed() > 0;
            }
            
            if (rule.contains("engine_rpm > 0")) {
                return vehicleDeviceData.getEngineRpm() != null && vehicleDeviceData.getEngineRpm() > 0;
            }
            
            // 可以添加更多规则
            return true;
        } catch (Exception e) {
            logger.error("评估过滤规则异常，规则: {}", rule, e);
            return false;
        }
    }
    
    /**
     * 数据压缩
     * @param vehicleDeviceData 车载设备数据
     * @return 压缩后的数据
     */
    private VehicleDeviceData compressData(VehicleDeviceData vehicleDeviceData) {
        try {
            // 实现数据压缩逻辑
            // 这里可以添加具体的数据压缩算法
            vehicleDeviceData.addExtendedProperty("compressed", true);
            vehicleDeviceData.addExtendedProperty("compression_algorithm", properties.getDataCompressionAlgorithm());
            vehicleDeviceData.addExtendedProperty("compression_level", properties.getCompressionLevel());
            
            return vehicleDeviceData;
        } catch (Exception e) {
            logger.error("数据压缩异常", e);
            return vehicleDeviceData;
        }
    }
    
    /**
     * 异常检测
     * @param vehicleDeviceData 车载设备数据
     * @return 是否异常
     */
    private boolean detectAnomaly(VehicleDeviceData vehicleDeviceData) {
        try {
            // 实现异常检测逻辑
            // 这里可以添加具体的异常检测算法
            
            // 检查车速异常
            if (vehicleDeviceData.getSpeed() != null && vehicleDeviceData.getSpeed() > 200) {
                return true;
            }
            
            // 检查发动机转速异常
            if (vehicleDeviceData.getEngineRpm() != null && vehicleDeviceData.getEngineRpm() > 8000) {
                return true;
            }
            
            // 检查发动机温度异常
            if (vehicleDeviceData.getEngineTemperature() != null && vehicleDeviceData.getEngineTemperature() > 120) {
                return true;
            }
            
            return false;
        } catch (Exception e) {
            logger.error("异常检测异常", e);
            return false;
        }
    }
}

3.3 实时数据处理服务

/**
 * 实时数据处理服务
 * @author 运维实战
 */
@Service
public class RealTimeDataProcessingService {
    
    @Autowired
    private EdgeComputingProperties properties;
    
    @Autowired
    private EdgeComputingMonitorService edgeComputingMonitorService;
    
    private static final Logger logger = LoggerFactory.getLogger(RealTimeDataProcessingService.class);
    
    /**
     * 处理数据
     * @param vehicleDeviceData 车载设备数据
     * @return 处理结果
     */
    public RealTimeDataProcessingResult processData(VehicleDeviceData vehicleDeviceData) {
        logger.info("实时处理车载设备数据，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
        
        RealTimeDataProcessingResult result = new RealTimeDataProcessingResult();
        result.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 实时分析
            RealTimeAnalysisResult analysisResult = performRealTimeAnalysis(vehicleDeviceData);
            
            // 实时预警
            if (properties.isEnableRealTimeAlert()) {
                RealTimeAlertResult alertResult = performRealTimeAlert(vehicleDeviceData);
                if (alertResult.hasAlerts()) {
                    result.setAlerts(alertResult.getAlerts());
                }
            }
            
            // 更新设备状态
            VehicleDeviceStatus deviceStatus = updateDeviceStatus(vehicleDeviceData, analysisResult);
            
            result.setSuccess(true);
            result.setProcessedData(vehicleDeviceData);
            result.setDeviceStatus(deviceStatus);
            result.setAnalysisResult(analysisResult);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("车载设备数据实时处理完成，设备ID: {}, 成功: {}, 耗时: {}ms", 
                vehicleDeviceData.getVehicleDeviceId(), result.isSuccess(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("车载设备数据实时处理异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            result.setSuccess(false);
            result.setError("车载设备数据实时处理异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 批量处理数据
     * @param vehicleDeviceDataList 车载设备数据列表
     * @return 批量处理结果
     */
    public EdgeComputingBatchResult batchProcessData(List<VehicleDeviceData> vehicleDeviceDataList) {
        logger.info("批量实时处理车载设备数据，数量: {}", vehicleDeviceDataList.size());
        
        EdgeComputingBatchResult result = new EdgeComputingBatchResult();
        result.setTotalCount(vehicleDeviceDataList.size());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            int successCount = 0;
            int failureCount = 0;
            
            for (VehicleDeviceData vehicleDeviceData : vehicleDeviceDataList) {
                try {
                    RealTimeDataProcessingResult processingResult = processData(vehicleDeviceData);
                    if (processingResult.isSuccess()) {
                        successCount++;
                    } else {
                        failureCount++;
                    }
                } catch (Exception e) {
                    logger.error("批量处理单条数据异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
                    failureCount++;
                }
            }
            
            result.setSuccessCount(successCount);
            result.setFailureCount(failureCount);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("批量车载设备数据实时处理完成，总数: {}, 成功: {}, 失败: {}, 耗时: {}ms", 
                result.getTotalCount(), result.getSuccessCount(), result.getFailureCount(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("批量车载设备数据实时处理异常", e);
            result.setSuccess(false);
            result.setError("批量车载设备数据实时处理异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行实时分析
     * @param vehicleDeviceData 车载设备数据
     * @return 分析结果
     */
    private RealTimeAnalysisResult performRealTimeAnalysis(VehicleDeviceData vehicleDeviceData) {
        logger.info("执行实时分析，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
        
        RealTimeAnalysisResult result = new RealTimeAnalysisResult();
        result.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            // 驾驶行为分析
            DrivingBehaviorAnalysisResult behaviorAnalysis = analyzeDrivingBehavior(vehicleDeviceData);
            
            // 车辆健康分析
            VehicleHealthAnalysisResult healthAnalysis = analyzeVehicleHealth(vehicleDeviceData);
            
            // 路况分析
            RoadConditionAnalysisResult roadAnalysis = analyzeRoadCondition(vehicleDeviceData);
            
            result.setSuccess(true);
            result.setBehaviorAnalysis(behaviorAnalysis);
            result.setHealthAnalysis(healthAnalysis);
            result.setRoadAnalysis(roadAnalysis);
            result.setEndTime(System.currentTimeMillis());
            
            logger.info("实时分析完成，设备ID: {}, 耗时: {}ms", 
                vehicleDeviceData.getVehicleDeviceId(), result.getDuration());
            
            return result;
            
        } catch (Exception e) {
            logger.error("实时分析异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            result.setSuccess(false);
            result.setError("实时分析异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 执行实时预警
     * @param vehicleDeviceData 车载设备数据
     * @return 预警结果
     */
    private RealTimeAlertResult performRealTimeAlert(VehicleDeviceData vehicleDeviceData) {
        logger.info("执行实时预警，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
        
        RealTimeAlertResult result = new RealTimeAlertResult();
        result.setVehicleDeviceId(vehicleDeviceData.getVehicleDeviceId());
        result.setStartTime(System.currentTimeMillis());
        
        try {
            List<String> alerts = new ArrayList<>();
            
            // 检查预警规则
            for (String rule : properties.getAlertRules()) {
                if (evaluateAlertRule(vehicleDeviceData, rule)) {
                    alerts.add(rule);
                }
            }
            
            result.setSuccess(true);
            result.setAlerts(alerts);
            result.setEndTime(System.currentTimeMillis());
            
            if (!alerts.isEmpty()) {
                logger.warn("检测到预警，设备ID: {}, 预警数量: {}", vehicleDeviceData.getVehicleDeviceId(), alerts.size());
            }
            
            return result;
            
        } catch (Exception e) {
            logger.error("实时预警异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            result.setSuccess(false);
            result.setError("实时预警异常: " + e.getMessage());
            result.setEndTime(System.currentTimeMillis());
            return result;
        }
    }
    
    /**
     * 更新设备状态
     * @param vehicleDeviceData 车载设备数据
     * @param analysisResult 分析结果
     * @return 设备状态
     */
    private VehicleDeviceStatus updateDeviceStatus(VehicleDeviceData vehicleDeviceData, RealTimeAnalysisResult analysisResult) {
        VehicleDeviceStatus deviceStatus = new VehicleDeviceStatus(vehicleDeviceData.getVehicleDeviceId());
        
        try {
            // 更新基本状态
            deviceStatus.setStatus("ACTIVE");
            deviceStatus.setLastUpdateTime(String.valueOf(System.currentTimeMillis()));
            
            // 更新健康状态
            if (analysisResult.getHealthAnalysis() != null) {
                deviceStatus.setHealthStatus(analysisResult.getHealthAnalysis().getOverallHealthStatus());
            }
            
            // 更新状态详情
            Map<String, Object> statusDetails = new HashMap<>();
            statusDetails.put("speed", vehicleDeviceData.getSpeed());
            statusDetails.put("engine_rpm", vehicleDeviceData.getEngineRpm());
            statusDetails.put("engine_temperature", vehicleDeviceData.getEngineTemperature());
            statusDetails.put("fuel_consumption", vehicleDeviceData.getFuelConsumption());
            statusDetails.put("battery_voltage", vehicleDeviceData.getBatteryVoltage());
            deviceStatus.setStatusDetails(statusDetails);
            
            // 更新性能指标
            Map<String, Object> performanceMetrics = new HashMap<>();
            performanceMetrics.put("data_quality", vehicleDeviceData.getExtendedProperty("data_quality"));
            performanceMetrics.put("processing_time", System.currentTimeMillis());
            deviceStatus.setPerformanceMetrics(performanceMetrics);
            
            return deviceStatus;
            
        } catch (Exception e) {
            logger.error("更新设备状态异常，设备ID: {}", vehicleDeviceData.getVehicleDeviceId(), e);
            return deviceStatus;
        }
    }
    
    /**
     * 分析驾驶行为
     * @param vehicleDeviceData 车载设备数据
     * @return 驾驶行为分析结果
     */
    private DrivingBehaviorAnalysisResult analyzeDrivingBehavior(VehicleDeviceData vehicleDeviceData) {
        DrivingBehaviorAnalysisResult result = new DrivingBehaviorAnalysisResult();
        
        try {
            // 实现驾驶行为分析逻辑
            result.setSuccess(true);
            result.setDrivingScore(85.5);
            result.setRiskLevel("LOW");
            result.setAnalysisResult("NORMAL");
            
            return result;
        } catch (Exception e) {
            logger.error("驾驶行为分析异常", e);
            result.setSuccess(false);
            result.setError("驾驶行为分析异常: " + e.getMessage());
            return result;
        }
    }
    
    /**
     * 分析车辆健康
     * @param vehicleDeviceData 车载设备数据
     * @return 车辆健康分析结果
     */
    private VehicleHealthAnalysisResult analyzeVehicleHealth(VehicleDeviceData vehicleDeviceData) {
        VehicleHealthAnalysisResult result = new VehicleHealthAnalysisResult();
        
        try {
            // 实现车辆健康分析逻辑
            result.setSuccess(true);
            result.setOverallHealthStatus("HEALTHY");
            result.setHealthScore(90.0);
            result.setMaintenanceRecommendation("NORMAL");
            
            return result;
        } catch (Exception e) {
            logger.error("车辆健康分析异常", e);
            result.setSuccess(false);
            result.setError("车辆健康分析异常: " + e.getMessage());
            return result;
        }
    }
    
    /**
     * 分析路况
     * @param vehicleDeviceData 车载设备数据
     * @return 路况分析结果
     */
    private RoadConditionAnalysisResult analyzeRoadCondition(VehicleDeviceData vehicleDeviceData) {
        RoadConditionAnalysisResult result = new RoadConditionAnalysisResult();
        
        try {
            // 实现路况分析逻辑
            result.setSuccess(true);
            result.setRoadCondition("NORMAL");
            result.setTrafficLevel("MODERATE");
            result.setWeatherCondition("CLEAR");
            
            return result;
        } catch (Exception e) {
            logger.error("路况分析异常", e);
            result.setSuccess(false);
            result.setError("路况分析异常: " + e.getMessage());
            return result;
        }
    }
    
    /**
     * 评估预警规则
     * @param vehicleDeviceData 车载设备数据
     * @param rule 预警规则
     * @return 是否触发预警
     */
    private boolean evaluateAlertRule(VehicleDeviceData vehicleDeviceData, String rule) {
        try {
            // 简单的规则评估逻辑
            if (rule.contains("speed > 120")) {
                return vehicleDeviceData.getSpeed() != null && vehicleDeviceData.getSpeed() > 120;
            }
            
            if (rule.contains("engine_temp > 100")) {
                return vehicleDeviceData.getEngineTemperature() != null && vehicleDeviceData.getEngineTemperature() > 100;
            }
            
            // 可以添加更多规则
            return false;
        } catch (Exception e) {
            logger.error("评估预警规则异常，规则: {}", rule, e);
            return false;
        }
    }
}

3.4 边缘计算监控服务

/**
 * 边缘计算监控服务
 * @author 运维实战
 */
@Service
public class EdgeComputingMonitorService {
    
    private final AtomicLong totalDataProcessed = new AtomicLong(0);
    private final AtomicLong totalDataProcessedSuccessfully = new AtomicLong(0);
    private final AtomicLong totalDataProcessedFailed = new AtomicLong(0);
    private final AtomicLong totalTasksExecuted = new AtomicLong(0);
    private final AtomicLong totalTasksExecutedSuccessfully = new AtomicLong(0);
    private final AtomicLong totalTasksExecutedFailed = new AtomicLong(0);
    
    private long lastResetTime = System.currentTimeMillis();
    private final long resetInterval = 300000; // 5分钟重置一次
    
    private static final Logger logger = LoggerFactory.getLogger(EdgeComputingMonitorService.class);
    
    /**
     * 记录数据处理
     * @param vehicleDeviceId 车载设备ID
     * @param success 是否成功
     */
    public void recordDataProcessing(String vehicleDeviceId, boolean success) {
        totalDataProcessed.incrementAndGet();
        
        if (success) {
            totalDataProcessedSuccessfully.incrementAndGet();
        } else {
            totalDataProcessedFailed.incrementAndGet();
        }
        
        logger.debug("记录数据处理: 设备ID={}, 成功={}", vehicleDeviceId, success);
    }
    
    /**
     * 记录批量数据处理
     * @param totalCount 总数量
     * @param successCount 成功数量
     */
    public void recordBatchDataProcessing(int totalCount, int successCount) {
        totalDataProcessed.addAndGet(totalCount);
        totalDataProcessedSuccessfully.addAndGet(successCount);
        totalDataProcessedFailed.addAndGet(totalCount - successCount);
        
        logger.debug("记录批量数据处理: 总数={}, 成功={}", totalCount, successCount);
    }
    
    /**
     * 记录任务执行
     * @param taskId 任务ID
     * @param success 是否成功
     */
    public void recordTaskExecution(String taskId, boolean success) {
        totalTasksExecuted.incrementAndGet();
        
        if (success) {
            totalTasksExecutedSuccessfully.incrementAndGet();
        } else {
            totalTasksExecutedFailed.incrementAndGet();
        }
        
        logger.debug("记录任务执行: 任务ID={}, 成功={}", taskId, success);
    }
    
    /**
     * 获取监控指标
     * @return 监控指标
     */
    public EdgeComputingMetrics getMetrics() {
        // 检查是否需要重置
        if (System.currentTimeMillis() - lastResetTime > resetInterval) {
            resetMetrics();
        }
        
        EdgeComputingMetrics metrics = new EdgeComputingMetrics();
        metrics.setTotalDataProcessed(totalDataProcessed.get());
        metrics.setTotalDataProcessedSuccessfully(totalDataProcessedSuccessfully.get());
        metrics.setTotalDataProcessedFailed(totalDataProcessedFailed.get());
        metrics.setTotalTasksExecuted(totalTasksExecuted.get());
        metrics.setTotalTasksExecutedSuccessfully(totalTasksExecutedSuccessfully.get());
        metrics.setTotalTasksExecutedFailed(totalTasksExecutedFailed.get());
        metrics.setTimestamp(System.currentTimeMillis());
        
        return metrics;
    }
    
    /**
     * 重置指标
     */
    private void resetMetrics() {
        totalDataProcessed.set(0);
        totalDataProcessedSuccessfully.set(0);
        totalDataProcessedFailed.set(0);
        totalTasksExecuted.set(0);
        totalTasksExecutedSuccessfully.set(0);
        totalTasksExecutedFailed.set(0);
        lastResetTime = System.currentTimeMillis();
        
        logger.info("边缘计算监控指标重置");
    }
    
    /**
     * 定期监控边缘计算状态
     */
    @Scheduled(fixedRate = 30000) // 每30秒监控一次
    public void monitorEdgeComputingStatus() {
        try {
            EdgeComputingMetrics metrics = getMetrics();
            
            logger.info("边缘计算监控: 数据处理={}, 成功={}, 失败={}, 任务执行={}, 成功={}, 失败={}, 数据处理成功率={}%, 任务执行成功率={}%", 
                metrics.getTotalDataProcessed(), metrics.getTotalDataProcessedSuccessfully(), metrics.getTotalDataProcessedFailed(),
                metrics.getTotalTasksExecuted(), metrics.getTotalTasksExecutedSuccessfully(), metrics.getTotalTasksExecutedFailed(),
                String.format("%.2f", metrics.getDataProcessingSuccessRate()), 
                String.format("%.2f", metrics.getTaskExecutionSuccessRate()));
            
            // 检查异常情况
            if (metrics.getDataProcessingSuccessRate() < 95) {
                logger.warn("边缘计算数据处理成功率过低: {}%", String.format("%.2f", metrics.getDataProcessingSuccessRate()));
            }
            
            if (metrics.getTaskExecutionSuccessRate() < 90) {
                logger.warn("边缘计算任务执行成功率过低: {}%", String.format("%.2f", metrics.getTaskExecutionSuccessRate()));
            }
            
        } catch (Exception e) {
            logger.error("边缘计算状态监控失败", e);
        }
    }
}

3.5 边缘计算指标类

/**
 * 边缘计算指标类
 * @author 运维实战
 */
@Data
public class EdgeComputingMetrics {
    
    private long totalDataProcessed;
    private long totalDataProcessedSuccessfully;
    private long totalDataProcessedFailed;
    private long totalTasksExecuted;
    private long totalTasksExecutedSuccessfully;
    private long totalTasksExecutedFailed;
    private long timestamp;
    
    public EdgeComputingMetrics() {
        this.timestamp = System.currentTimeMillis();
    }
    
    /**
     * 获取数据处理成功率
     * @return 数据处理成功率
     */
    public double getDataProcessingSuccessRate() {
        long total = totalDataProcessedSuccessfully + totalDataProcessedFailed;
        if (total == 0) return 0.0;
        return (double) totalDataProcessedSuccessfully / total * 100;
    }
    
    /**
     * 获取数据处理失败率
     * @return 数据处理失败率
     */
    public double getDataProcessingFailureRate() {
        long total = totalDataProcessedSuccessfully + totalDataProcessedFailed;
        if (total == 0) return 0.0;
        return (double) totalDataProcessedFailed / total * 100;
    }
    
    /**
     * 获取任务执行成功率
     * @return 任务执行成功率
     */
    public double getTaskExecutionSuccessRate() {
        long total = totalTasksExecutedSuccessfully + totalTasksExecutedFailed;
        if (total == 0) return 0.0;
        return (double) totalTasksExecutedSuccessfully / total * 100;
    }
    
    /**
     * 获取任务执行失败率
     * @return 任务执行失败率
     */
    public double getTaskExecutionFailureRate() {
        long total = totalTasksExecutedSuccessfully + totalTasksExecutedFailed;
        if (total == 0) return 0.0;
        return (double) totalTasksExecutedFailed / total * 100;
    }
    
    /**
     * 获取数据处理效率
     * @return 数据处理效率
     */
    public double getDataProcessingEfficiency() {
        if (totalDataProcessed == 0) return 0.0;
        return (double) totalDataProcessedSuccessfully / totalDataProcessed * 100;
    }
    
    /**
     * 获取任务执行效率
     * @return 任务执行效率
     */
    public double getTaskExecutionEfficiency() {
        if (totalTasksExecuted == 0) return 0.0;
        return (double) totalTasksExecutedSuccessfully / totalTasksExecuted * 100;
    }
    
    /**
     * 是否健康
     * @return 是否健康
     */
    public boolean isHealthy() {
        return getDataProcessingSuccessRate() > 95 && 
               getTaskExecutionSuccessRate() > 90;
    }
}

4. 边缘计算车载设备本地预处理控制器

4.1 边缘计算车载设备本地预处理REST控制器

/**
 * 边缘计算车载设备本地预处理REST控制器
 * @author 运维实战
 */
@RestController
@RequestMapping("/api/edge-computing")
public class EdgeComputingController {
    
    @Autowired
    private EdgeComputingService edgeComputingService;
    
    @Autowired
    private EdgeComputingMonitorService edgeComputingMonitorService;
    
    private static final Logger logger = LoggerFactory.getLogger(EdgeComputingController.class);
    
    /**
     * 处理车载设备数据
     * @param vehicleDeviceData 车载设备数据
     * @return 处理结果
     */
    @PostMapping("/process-data")
    public ResponseEntity<EdgeComputingResult> processVehicleDeviceData(@RequestBody VehicleDeviceData vehicleDeviceData) {
        try {
            logger.info("接收到车载设备数据处理请求，设备ID: {}", vehicleDeviceData.getVehicleDeviceId());
            
            EdgeComputingResult result = edgeComputingService.processVehicleDeviceData(vehicleDeviceData);
            
            return ResponseEntity.ok(result);
            
        } catch (Exception e) {
            logger.error("车载设备数据处理失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
    
    /**
     * 批量处理车载设备数据
     * @param vehicleDeviceDataList 车载设备数据列表
     * @return 批量处理结果
     */
    @PostMapping("/batch-process-data")
    public ResponseEntity<EdgeComputingBatchResult> batchProcessVehicleDeviceData(@RequestBody List<VehicleDeviceData> vehicleDeviceDataList) {
        try {
            logger.info("接收到车载设备数据批量处理请求，数量: {}", vehicleDeviceDataList.size());
            
            EdgeComputingBatchResult result = edgeComputingService.batchProcessVehicleDeviceData(vehicleDeviceDataList);
            
            return ResponseEntity.ok(result);
            
        } catch (Exception e) {
            logger.error("车载设备数据批量处理失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
    
    /**
     * 获取车载设备状态
     * @param vehicleDeviceId 车载设备ID
     * @return 设备状态
     */
    @GetMapping("/device-status/{vehicleDeviceId}")
    public ResponseEntity<VehicleDeviceStatus> getVehicleDeviceStatus(@PathVariable String vehicleDeviceId) {
        try {
            logger.info("接收到获取车载设备状态请求，设备ID: {}", vehicleDeviceId);
            
            VehicleDeviceStatus status = edgeComputingService.getVehicleDeviceStatus(vehicleDeviceId);
            
            return ResponseEntity.ok(status);
            
        } catch (Exception e) {
            logger.error("获取车载设备状态失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
    
    /**
     * 更新车载设备配置
     * @param vehicleDeviceId 车载设备ID
     * @param config 配置
     * @return 更新结果
     */
    @PutMapping("/device-config/{vehicleDeviceId}")
    public ResponseEntity<EdgeComputingConfigUpdateResult> updateVehicleDeviceConfig(@PathVariable String vehicleDeviceId, @RequestBody Map<String, Object> config) {
        try {
            logger.info("接收到更新车载设备配置请求，设备ID: {}", vehicleDeviceId);
            
            EdgeComputingConfigUpdateResult result = edgeComputingService.updateVehicleDeviceConfig(vehicleDeviceId, config);
            
            return ResponseEntity.ok(result);
            
        } catch (Exception e) {
            logger.error("更新车载设备配置失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
    
    /**
     * 执行边缘计算任务
     * @param task 边缘计算任务
     * @return 执行结果
     */
    @PostMapping("/execute-task")
    public ResponseEntity<EdgeComputingTaskResult> executeEdgeComputingTask(@RequestBody EdgeComputingTask task) {
        try {
            logger.info("接收到执行边缘计算任务请求，任务ID: {}", task.getTaskId());
            
            EdgeComputingTaskResult result = edgeComputingService.executeEdgeComputingTask(task);
            
            return ResponseEntity.ok(result);
            
        } catch (Exception e) {
            logger.error("执行边缘计算任务失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
    
    /**
     * 获取边缘计算监控指标
     * @return 监控指标
     */
    @GetMapping("/metrics")
    public ResponseEntity<EdgeComputingMetrics> getEdgeComputingMetrics() {
        try {
            EdgeComputingMetrics metrics = edgeComputingMonitorService.getMetrics();
            return ResponseEntity.ok(metrics);
        } catch (Exception e) {
            logger.error("获取边缘计算监控指标失败", e);
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
        }
    }
}

5. 总结

5.1 边缘计算车载设备本地预处理最佳实践

合理设计边缘计算架构: 利用边缘计算的优势设计高效的本地预处理架构
优化数据处理性能: 使用合适的数据处理方式和算法
实现实时监控: 实时监控边缘计算状态和性能
建立异常处理机制: 实现完善的异常处理和用户友好提示
资源优化管理: 优化计算和存储资源使用

5.2 性能优化建议

数据处理优化: 优化数据处理算法和流程
缓存策略: 实现合理的数据缓存策略
压缩优化: 优化数据压缩算法和参数
网络优化: 优化网络传输和通信
资源管理: 优化计算和存储资源管理

5.3 运维管理要点

实时监控: 监控边缘计算状态和性能
动态调整: 根据负载情况动态调整边缘计算配置
异常处理: 建立异常处理和告警机制
日志管理: 完善日志记录和分析
性能调优: 根据监控数据优化边缘计算性能

通过本文的边缘计算车载设备本地预处理运维实战指南，您可以掌握边缘计算车载设备本地预处理的原理、实现方法、性能优化技巧以及在企业级应用中的最佳实践，构建高效、可靠的边缘计算系统！