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作 者:王洋[1] Wang Yang(Economic and Trade Branch,Yangling Vocational and Technical College,Shaanxi Yangling,712100,China)
机构地区:[1]杨凌职业技术学院经济与贸易分院,陕西杨凌712100
出 处:《机械设计与制造工程》2021年第7期47-50,共4页Machine Design and Manufacturing Engineering
基 金:2018年杨凌职业技术学院科学研究基金项目(A2018075)。
摘 要:针对电子商务配送的监管水平与效率低的问题,设计了基于Hadoop技术的电子商务配送系统。采集配送源数据,并将数据向HBase集群各节点传送,节点依靠Hadoop分布式框架分散存储海量数据,实时更新配送数据并存入HBase集群各节点内,采用分支限界法处理各节点内的数据,获得各车辆的最佳配送方案,通过交互层随时查看配送方案和车辆历史轨迹等,实时监控配送车辆的信息。结果表明,该系统可实现指定货单与配送车辆的信息查询功能,加强了对配送中货物的有效监管,可制定最佳车辆配送方案,提升配送效率。Aiming at the low level of supervision and efficiency of e-commerce distribution,an e-commerce distribution system based on Hadoop technology is designed.The data of distribution source is collected and transmitted to each node of HBase cluster.The nodes store massive data by Hadoop distributed framework,update the distribution data in real time and store it in each node of the HBase cluster.The branch and bound method is used to process the data in each node to obtain the best distribution scheme of each vehicle.The distribution scheme and vehicle historical track can be viewed at any time through the interaction layer,real time monitoring of distribution vehicle information.The results show that the system can realize the information query function of the specified order and distribution vehicles,strengthen the effective supervision of the goods in the distribution,formulate the best vehicle distribution scheme,and improve the distribution efficiency.
关 键 词:Hadoop技术 电子商务 配送方案 分支限界法
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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