基于大数据分析的铁路自动售检票监控系统研究

Railway Automatic Ticketing and Gate Monitoring System based on big data analysis

本文提出铁路自动售检票监控系统总体框架由基础层、管理层、分析层和应用层组成。利用多维数据分析、分布式文件系统存储和Map Reduce计算、复杂事件处理、数据挖掘等技术,实现对铁路自动售检票系统的故障预警和故障率分析、设备利用率分析、业务优化分析以及OD热点分析、异常旅客识别、设备易用性分析等以旅客行为分析为基础的增值业务,为铁路自动售检票系统的未来发展提供一种新思路。

This article proposed the general frame of Railway Automatic Ticketing and Gate Monitoring System（RATGS）. The System was consisted of 4 layers, which were the infrastructure layer, the management layer, the analysis layer and application layer. The System was introduced technologies such as multidimensional data analysis, the distributed file system storage MapReduce, Complex Event Processing（CEP）, data mining and etc., to implement the value added services based on passenger behavior analysis, such as fault early warning, analysis of failure rate, the utilization rate analysis of equipments, business optimization analysis, OD hotspot analysis, abnormal passenger recognition, usability analysis of equipment. All of these pointed out a new method for the future development of RATGS.