基于Web的物流管理信息系统关键技术研究

发布时间：2018-11-02 08:15

【摘要】：本文针对基于Web的物流管理信息系统的特点,将工作流技术和RFID(Radio Frequency Identification,射频识别)技术应用到物流管理信息系统中,设计并实现了基于Web的物流管理信息系统。工作流技术主要侧重于组织和协调,可以将多个处于分布式环境下的Web服务进行集成。RFID自动识别技术可以实现物流系统中信息的高效采集。一方面,该系统针对物流作业中业务流程的高效处理问题,通过利用工作流技术将系统各类功能服务进行组合调用,实现了物流活动在因特网的环境下进行集成。另一方面,系统通过RFID自动识别技术实现货物在出入库、盘点以及配送过程中的信息采集,并同时针对RFID技术中的标签碰撞问题,提出了AGHMA(Adaptive Grouping Hybrid Multi-tree Anti-collision,自适应分组混合多叉树防碰撞)算法,通过采用分组策略以及优化搜索前缀,并根据碰撞因子不断自适应的调整为二叉树、四叉树或八叉树搜索方式,实现了标签的高效识别。仿真实验表明,AGHMA算法相比自适应二-四叉树防碰撞算法、碰撞树算法CT(collision tree protocol,碰撞树算法)在时间复杂度、吞吐率以及通信复杂度方面均得到了改善。并通过对实现了的系统进行测试,说明了该系统在功能和性能方面都满足需求。
[Abstract]:According to the characteristics of logistics management information system based on Web, this paper applies workflow technology and RFID (Radio Frequency Identification, radio frequency identification technology to logistics management information system, and designs and implements logistics management information system based on Web. Workflow technology mainly focuses on organization and coordination, and can integrate multiple Web services in distributed environment. RFID automatic identification technology can achieve efficient information collection in logistics system. On the one hand, aiming at the problem of efficient handling of business process in logistics, the system integrates logistics activities under the environment of Internet by making use of workflow technology to combine and call all kinds of function services of the system. On the other hand, the system realizes the information collection of goods in warehouse, inventory and distribution process through RFID automatic identification technology. At the same time, aiming at the problem of label collision in RFID technology, the AGHMA (Adaptive Grouping Hybrid Multi-tree Anti-collision, is proposed. Adaptive grouping hybrid multi-tree anti-collision algorithm, by adopting grouping strategy and optimizing search prefix, and constantly adjusting to binary tree, quadtree or octree search mode according to collision factor, the label recognition is realized efficiently. Simulation results show that the AGHMA algorithm improves the time complexity, throughput and communication complexity compared with the adaptive binary tree collision prevention algorithm and the collision tree algorithm CT (collision tree protocol, collision tree algorithm. By testing the realized system, it shows that the system meets the requirements in function and performance.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09;F252

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