基于Redis存储的电子商务物流时间预测系统设计与实现

发布时间：2018-01-26 22:26

本文关键词： 物流时间预测物流模拟数据采集 Redis　出处：《吉林大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着电子商务的快速发展,越来越多的人采用网上购物这种新兴购物方式,自己足不出户便能便捷的选择出需要的商品。作为电子商务网站,要保持自身竞争力,必须要不断完善自身服务质量。其中,物流作为将货物从商家递送到买家手中的途径,其提供的信息在用户下单后追踪货物位置时最为重要,但是当下的物流网站中的时间预测模块只能提供当前货物所到位置和到达时间,以及很笼统的递送时间描述,不能提供货物到买家手里的时间,不能很好的满足用户的需要。在这种情况下,基于计算机技术构建一个预测货物送达时间的服务模块,可进一步提升电子商务和物流业的服务质量。本文针对基于Redis数据库存储的电子商务网站物流时间预测,提出一个合理的解决方案。系统设计中在货物已发出的情况下,根据使用物流公司的情况、起始地点、天气预测情况,最终预测出货物到达买家手里的时间,以完善现有物流网站中缺乏的预测货物送达时间模块。本文设计方案是基于Redis数据库,相对于传统的关系型数据库,在数据并发性较大,数据同步性要求不高的情况下,性能有较大提升。在货物运输网络中,货物吞吐量庞大、货物出站入站信息并发性高时,将Redis数据库应用到货物信息采集中将大幅提高系统性能。
[Abstract]:With the rapid development of e-commerce, more and more people are using online shopping this new shopping way, their homes will be able to choose a convenient needed goods. As the electronic commerce website, to maintain their competitiveness, we must constantly improve their own quality of service. In the logistics as the goods from the delivery to the buyers of the way businesses it provides information, tracking the position of the customer orders after the most important, but the logistics website in time forecast module can provide goods to the current location and arrival time, delivery time and very general description, can not provide the goods to the buyer in time, doesn't well meet the needs of users. In this case, the service module of computer technology to construct a prediction based on delivery time, service quality will further enhance the electronic commerce and logistics industry According to the forecast amount. E-commerce logistics based on Redis database storage time, put forward a reasonable solution. The goods have been issued in the case of the design of the system, according to the logistics company, the initial location, weather prediction, predicted the arrival of the goods at the buyer's time, in order to improve the prediction of the lack of goods the existing site logistics delivery time module. This design is based on the Redis database, compared with the traditional relational database, data concurrency in large data synchronization requirements is not high, performance is greatly improved. In the transportation network, huge cargo throughput, cargo outbound inbound information high concurrency the application of Redis database, the cargo information acquisition will significantly improve the system performance.

【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F713.36;F252;TP311.52

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