基于云计算技术的地铁自动售检票系统研究

针对地铁线网规模的不断扩大, 原有地铁自动售检票系统出现建设成本高、资源利用率低、后期维护工作困难等问题, 设计了一个基于云计算技术的地铁自动售检票系统（CAFC系统）。构建了系统的整体架构、物理拓扑结构、软件体系结构和云架构, 精简了原有系统的架构、减少了系统容量、降低了系统投资; 分析了系统各层次之间、系统与系统用户之间、系统与外部接口之间的业务逻辑关系; 提出了基于防火墙、入侵检测系统、数据备份和PKI的系统安全解决方案。该系统能够完成地铁自动售检票和票务运营管理等功能, 而且降低了投资成本、提高了资源利用率, 为实现地铁低碳运营、绿色运营提供支持。

Design of metro automatic fare collection system based on cloud computing technology

With the constant expansion of metro network scale, the existing metro automatic fare collection system encounters severe challenges including, but not limited to, high construction cost, low resource utilization rates and complicated maintenance. To solve these problems, this paper designed an absolutely new metro automatic fare collection system(CAFC system) based on cloud computing technology. Firstly, it established the system framework, cloud architecture, physical topology and software system construction. Compared to the existing one, owing to its much more simple architecture, the new CAFC system performed excellently on the aspects of decreasing its capacity and lowering its investment. Then, it analyzed the logic processes of all the business among certain hierarchy, as well as between system and the users, system and its external interfaces. Finally, it proposed a security solution program concerning firewall, intrusion detection system, data backup and PKI. Besides the traditional function like fare collection automatically and ticketing management, the new CAFC system greatly lowers the investment cost and increases resource utilization rates simultaneously. It could be believed that the new CAFC system has significant meaning to low-carbon operation of metro.