SpringBoot + MQTT实现取货就走的智能售货柜系统完整流程_Java

大家好，我是大华。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：

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

// 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 list<deviceevent> 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

@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 responseentity<apiresponse> 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 responseentity<apiresponse> 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

@service
@slf4j
public class vendingservice {
    @autowired
    private userauthservice authservice;
    @autowired
    private deviceservice deviceservice;
    @autowired
    private orderservice orderservice;
    @autowired
    private redistemplate<string, 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

@component
@slf4j
public class mqttmessagehandler {
    @autowired
    private vendingservice vendingservice;
    @autowired
    private settlementservice settlementservice;
    @autowired
    private redistemplate<string, 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

@service
@slf4j
public class settlementservice {
    @autowired
    private orderservice orderservice;
    @autowired
    private deviceservice deviceservice;
    @autowired
    private paymentservice paymentservice;
    @autowired
    private redistemplate<string, 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
        list<product> visualproducts = analyzevisualchanges(
            data.getinitialsnapshot(), 
            data.getfinalsnapshot()
        );
        // 2. 重量变化分析
        list<product> weightproducts = analyzeweightchanges(data.getweightdata());
        // 3. 事件记录分析
        list<product> 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(list<product> visualproducts, 
                                                    list<product> weightproducts,
                                                    list<product> eventproducts) {
        settlementresult result = new settlementresult();
        // 策略1: 视觉识别优先（最直接证据）
        map<string, 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

@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(list<product> products) {
        return products.stream()
                .map(product::getprice)
                .reduce(bigdecimal.zero, bigdecimal::add);
    }
}

7. 配置类

@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 redistemplate<string, object> redistemplate(redisconnectionfactory factory) {
        redistemplate<string, 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。

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SpringBoot + MQTT实现取货就走的智能售货柜系统完整流程

2026年03月10日 • Java •我要评论