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昆明做网站建设技巧公司,甘肃网站建设制作商,做网站的素材和步骤,单页面seo优化昨天在办公楼底下#xff0c;我用了一下那种开门拿货#xff0c;关门自动扣费的智能售货柜#xff0c;真挺方便的。其实这种售货柜并不少见#xff0c;很多无人售货店、地铁站和景区都能经常看懂。那这种流程是怎么实现的呢#xff1f;下面我们来分析一下整个实现的流程。…昨天在办公楼底下我用了一下那种开门拿货关门自动扣费的智能售货柜真挺方便的。其实这种售货柜并不少见很多无人售货店、地铁站和景区都能经常看懂。那这种流程是怎么实现的呢下面我们来分析一下整个实现的流程。场景你用微信扫描售货柜上的二维码柜门咔嚓一声自动打开你拿出想要的商品同时可以随意更换关上柜门然后手机自动收到扣款通知整个过程中无需任何额外操作核心技术栈Spingboot技术组件作用Spring Boot后端主框架Redis高速缓存MQTT物联网通信协议MySQL关系型数据库消息队列异步任务处理计算机视觉拍摄商品识别完整技术流程详解第一阶段扫码开门身份验证与初始化用户动作微信扫码 → 授权 → 柜门打开后台流程身份认证验证微信账号的合法性设备状态检查确认售货柜是否可用创建会话在Redis中建立临时购物车数据采集拍摄货架初始照片记录传感器数据开门指令通过MQTT协议发送开门命令技术要点使用Redis存储临时会话读写速度达到微秒级MQTT协议专为物联网设计低功耗、高可靠初始快照为后续对比提供基准数据第二阶段自由选购实时事件追踪用户动作拿取商品 → 可能更换 → 继续选购系统监控视觉追踪摄像头实时识别手部动作和商品变化重量感应每个货道的传感器监测重量变化事件上报实时将拿取/放回动作发送到后台实时记录在Redis中更新购物车状态技术难点突破实时视频流处理延迟控制在100ms以内多传感器数据融合提高识别准确率高并发事件处理支持多用户同时购物第三阶段关门结算异步清算流程用户动作关闭柜门 → 自动触发结算核心清算流程体验AI代码助手代码解读复制代码关门信号 → 启动异步任务 → 数据收集 → 三重校验 → 支付扣款 → 状态更新详细步骤触发结算门磁传感器检测到关门动作异步处理避免用户等待另起线程处理复杂计算数据收集获取关门快照和最终传感器数据三重校验视觉对比开门vs关门图片差异分析重量分析各货道重量变化计算事件复核核对实时记录的事件序列冲突解决当三种方式结果不一致时的智能决策支付执行调用支付接口完成扣款状态更新标记订单完成清理缓存示例代码实现1. 核心数据模型java体验AI代码助手代码解读复制代码// 订单实体 Entity Table(name vending_orders) Data public class VendingOrder { Id private String orderId; private String userId; // 用户ID private String deviceId; // 设备ID private String status; // 状态: OPEN/CLOSED/PAID/FAILED private BigDecimal amount; // 订单金额 private LocalDateTime createTime; private LocalDateTime updateTime; } // Redis缓存中的设备会话 Data public class DeviceSession { private String sessionId; private String deviceId; private String orderId; private String userId; private String status; // 会话状态 private LocalDateTime startTime; private ListDeviceEvent events; // 购物事件记录 } // 设备事件 Data public class DeviceEvent { private String eventId; private String deviceId; private String orderId; private String type; // PICK/PUT_BACK private String productId; private LocalDateTime eventTime; private String position; // 货道位置 }2. 控制器层 - 处理HTTP请求java体验AI代码助手代码解读复制代码RestController RequestMapping(/api/vending) Slf4j public class VendingController { Autowired private VendingService vendingService; Autowired private SettlementService settlementService; /** * 扫码开门接口 */ PostMapping(/open) public ResponseEntityApiResponse openDevice( RequestParam String deviceId, RequestParam String authToken) { log.info(收到开门请求: deviceId{}, deviceId); try { OpenResult result vendingService.processOpenDevice(deviceId, authToken); return ResponseEntity.ok(ApiResponse.success(result)); } catch (BusinessException e) { log.warn(开门业务异常: {}, e.getMessage()); return ResponseEntity.badRequest().body(ApiResponse.error(e.getMessage())); } } /** * 查询订单状态 */ GetMapping(/order/{orderId}) public ResponseEntityApiResponse getOrderStatus(PathVariable String orderId) { VendingOrder order vendingService.getOrderById(orderId); return ResponseEntity.ok(ApiResponse.success(order)); } } // 统一API响应格式 Data class ApiResponse { private boolean success; private String message; private Object data; public static ApiResponse success(Object data) { ApiResponse response new ApiResponse(); response.setSuccess(true); response.setData(data); return response; } public static ApiResponse error(String message) { ApiResponse response new ApiResponse(); response.setSuccess(false); response.setMessage(message); return response; } }3. 核心服务层 - 开门处理java体验AI代码助手代码解读复制代码Service Slf4j public class VendingService { Autowired private UserAuthService authService; Autowired private DeviceService deviceService; Autowired private OrderService orderService; Autowired private RedisTemplateString, Object redisTemplate; Autowired private MqttService mqttService; /** * 处理开门请求的核心逻辑 */ public OpenResult processOpenDevice(String deviceId, String authToken) { // 1. 用户身份验证 String userId authService.verifyWechatToken(authToken); if (userId null) { throw new BusinessException(用户身份验证失败); } // 2. 检查设备状态 DeviceStatus deviceStatus deviceService.getDeviceStatus(deviceId); if (!deviceStatus.isAvailable()) { throw new BusinessException(设备暂不可用: deviceStatus.getStatus()); } // 3. 创建订单 VendingOrder order orderService.createOrder(userId, deviceId); log.info(创建订单成功: orderId{}, userId{}, deviceId{}, order.getOrderId(), userId, deviceId); // 4. 创建设备会话并缓存 DeviceSession session createDeviceSession(deviceId, order); cacheDeviceSession(session); // 5. 锁定设备避免重复开门 deviceService.lockDevice(deviceId, order.getOrderId()); // 6. 发送开门指令 mqttService.sendOpenCommand(deviceId); // 7. 请求设备上报初始状态 mqttService.requestInitialSnapshot(deviceId); return new OpenResult(order.getOrderId(), deviceId, 开门指令已发送); } private DeviceSession createDeviceSession(String deviceId, VendingOrder order) { DeviceSession session new DeviceSession(); session.setSessionId(UUID.randomUUID().toString()); session.setDeviceId(deviceId); session.setOrderId(order.getOrderId()); session.setUserId(order.getUserId()); session.setStatus(OPEN); session.setStartTime(LocalDateTime.now()); session.setEvents(new ArrayList()); return session; } private void cacheDeviceSession(DeviceSession session) { String key buildSessionKey(session.getDeviceId()); redisTemplate.opsForValue().set(key, session, Duration.ofMinutes(10)); log.debug(设备会话已缓存: key{}, key); } private String buildSessionKey(String deviceId) { return vending:session: deviceId; } }4. MQTT消息处理 - 设备通信java体验AI代码助手代码解读复制代码Component Slf4j public class MqttMessageHandler { Autowired private VendingService vendingService; Autowired private SettlementService settlementService; Autowired private RedisTemplateString, Object redisTemplate; /** * 处理关门事件 - 触发结算流程 */ MqttListener(topics device/${spring.application.env}//event/door_close) public void handleDoorClose(String message) { try { DoorCloseEvent event JSON.parseObject(message, DoorCloseEvent.class); log.info(收到关门事件: deviceId{}, event.getDeviceId()); // 异步处理结算不阻塞MQTT线程 CompletableFuture.runAsync(() - { settlementService.startSettlementProcess(event.getDeviceId()); }); } catch (Exception e) { log.error(处理关门事件失败: message{}, message, e); } } /** * 处理商品拿取/放回事件 */ MqttListener(topics device/${spring.application.env}//event/product) public void handleProductEvent(String message) { try { ProductEvent event JSON.parseObject(message, ProductEvent.class); log.debug(处理商品事件: deviceId{}, type{}, product{}, event.getDeviceId(), event.getEventType(), event.getProductId()); // 记录到Redis缓存 recordProductEvent(event); } catch (Exception e) { log.error(处理商品事件失败: message{}, message, e); } } /** * 处理设备上报的初始/最终快照 */ MqttListener(topics device/${spring.application.env}//snapshot) public void handleSnapshot(String message) { try { DeviceSnapshot snapshot JSON.parseObject(message, DeviceSnapshot.class); log.info(处理设备快照: deviceId{}, type{}, snapshot.getDeviceId(), snapshot.getSnapshotType()); // 存储快照数据用于后续对比分析 storeDeviceSnapshot(snapshot); } catch (Exception e) { log.error(处理快照失败: message{}, message, e); } } private void recordProductEvent(ProductEvent event) { String sessionKey vending:session: event.getDeviceId(); DeviceSession session (DeviceSession) redisTemplate.opsForValue().get(sessionKey); if (session ! null) { DeviceEvent deviceEvent convertToDeviceEvent(event, session.getOrderId()); session.getEvents().add(deviceEvent); redisTemplate.opsForValue().set(sessionKey, session, Duration.ofMinutes(10)); } } }5. 结算服务 - 核心业务逻辑java体验AI代码助手代码解读复制代码Service Slf4j public class SettlementService { Autowired private OrderService orderService; Autowired private DeviceService deviceService; Autowired private PaymentService paymentService; Autowired private RedisTemplateString, Object redisTemplate; Autowired private NotificationService notificationService; /** * 启动结算流程 */ Async(settlementExecutor) public void startSettlementProcess(String deviceId) { log.info(开始结算流程: deviceId{}, deviceId); try { // 1. 获取设备会话 DeviceSession session getDeviceSession(deviceId); if (session null) { log.error(设备会话不存在: deviceId{}, deviceId); return; } // 2. 更新订单状态为结算中 orderService.updateOrderStatus(session.getOrderId(), SETTLING); // 3. 获取设备上报的最终数据 SettlementData settlementData collectSettlementData(deviceId); // 4. 执行结算计算 SettlementResult result calculateSettlement(settlementData); // 5. 处理支付 boolean paymentSuccess processPayment(session, result); // 6. 更新订单状态 updateOrderAfterSettlement(session, result, paymentSuccess); // 7. 清理资源 cleanupAfterSettlement(deviceId, session.getOrderId()); log.info(结算流程完成: deviceId{}, orderId{}, success{}, deviceId, session.getOrderId(), paymentSuccess); } catch (Exception e) { log.error(结算流程异常: deviceId{}, deviceId, e); handleSettlementFailure(deviceId, e); } } /** * 收集结算所需的所有数据 */ private SettlementData collectSettlementData(String deviceId) { SettlementData data new SettlementData(); // 获取初始和最终快照 data.setInitialSnapshot(deviceService.getInitialSnapshot(deviceId)); data.setFinalSnapshot(deviceService.getFinalSnapshot(deviceId)); // 获取重量传感器数据 data.setWeightData(deviceService.getWeightSensorData(deviceId)); // 获取购物事件记录 data.setProductEvents(getRecordedEvents(deviceId)); return data; } /** * 核心结算算法 - 三重校验 */ private SettlementResult calculateSettlement(SettlementData data) { // 1. 视觉对比分析 ListProduct visualProducts analyzeVisualChanges( data.getInitialSnapshot(), data.getFinalSnapshot() ); // 2. 重量变化分析 ListProduct weightProducts analyzeWeightChanges(data.getWeightData()); // 3. 事件记录分析 ListProduct eventProducts analyzeEventSequence(data.getProductEvents()); // 4. 冲突解决和结果融合 return resolveProductConflicts(visualProducts, weightProducts, eventProducts); } /** * 冲突解决策略 */ private SettlementResult resolveProductConflicts(ListProduct visualProducts, ListProduct weightProducts, ListProduct eventProducts) { SettlementResult result new SettlementResult(); // 策略1: 视觉识别优先最直接证据 MapString, Product productMap new HashMap(); // 首先信任视觉识别结果 for (Product product : visualProducts) { productMap.put(product.getPosition(), product); } // 用重量数据验证和补充 for (Product weightProduct : weightProducts) { Product visualProduct productMap.get(weightProduct.getPosition()); if (visualProduct null) { // 视觉没识别到但重量有变化信任重量数据 productMap.put(weightProduct.getPosition(), weightProduct); } } // 用事件记录进行最终校验 result.setFinalProducts(new ArrayList(productMap.values())); result.setConflictResolved(true); log.debug(冲突解决完成: 视觉识别{}个, 重量变化{}个, 最终确认{}个, visualProducts.size(), weightProducts.size(), result.getFinalProducts().size()); return result; } }6. 支付服务java体验AI代码助手代码解读复制代码Service Slf4j public class PaymentService { Autowired private WechatPayService wechatPayService; Autowired private OrderService orderService; /** * 执行支付 */ public boolean processPayment(DeviceSession session, SettlementResult result) { try { PaymentRequest request new PaymentRequest(); request.setUserId(session.getUserId()); request.setOrderId(session.getOrderId()); request.setAmount(calculateTotalAmount(result.getFinalProducts())); request.setDescription(智能售货柜购物); PaymentResponse response wechatPayService.unifiedOrder(request); if (SUCCESS.equals(response.getResultCode())) { log.info(支付成功: orderId{}, amount{}, session.getOrderId(), request.getAmount()); return true; } else { log.warn(支付失败: orderId{}, error{}, session.getOrderId(), response.getErrMsg()); return false; } } catch (Exception e) { log.error(支付处理异常: orderId{}, session.getOrderId(), e); return false; } } private BigDecimal calculateTotalAmount(ListProduct products) { return products.stream() .map(Product::getPrice) .reduce(BigDecimal.ZERO, BigDecimal::add); } }7. 配置类java体验AI代码助手代码解读复制代码Configuration EnableAsync EnableScheduling public class AsyncConfig { Bean(settlementExecutor) public TaskExecutor settlementTaskExecutor() { ThreadPoolTaskExecutor executor new ThreadPoolTaskExecutor(); executor.setCorePoolSize(5); executor.setMaxPoolSize(10); executor.setQueueCapacity(100); executor.setThreadNamePrefix(settlement-); executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy()); executor.initialize(); return executor; } } Configuration public class RedisConfig { Bean public RedisTemplateString, Object redisTemplate(RedisConnectionFactory factory) { RedisTemplateString, Object template new RedisTemplate(); template.setConnectionFactory(factory); template.setKeySerializer(new StringRedisSerializer()); template.setValueSerializer(new GenericJackson2JsonRedisSerializer()); template.setHashKeySerializer(new StringRedisSerializer()); template.setHashValueSerializer(new GenericJackson2JsonRedisSerializer()); return template; } }总结1.异步处理结算流程异步化用户无需等待2.三重校验视觉重量事件记录确保准确率3.实时通信MQTT保证设备与后台实时通信4.缓存优化Redis提升系统响应速度5.异常容错完善的异常处理机制这种系统完美融合了物联网、云计算、移动支付等前沿技术为用户提供了拿了就走的无感购物体验代表了零售行业数字化转型的最新成果。作者刘大华链接https://juejin.cn/post/7579093412332109834来源稀土掘金著作权归作者所有。商业转载请联系作者获得授权非商业转载请注明出处。