基于大数据技术的铁路安全管理研究  

Big data based railway safety management research

作　　者：杨连报[1] 李平[1] 徐贵红[1] 刘俊[1] 刘彦军[1] YANG Lianbao;LI Ping;XU Guihong;LIU Jun;LIU Yanjun(Research and Application Innovation Center for Big Data Technology in Railway, China Academy of Railway Sciences, Beijing 100081, China)

机构地区：[1]中国铁道科学研究院铁路大数据研究与应用创新中心,北京100081

出　　处：《铁路计算机应用》2016年第9期83-87,共5页Railway Computer Application

基　　金：中国铁路总公司科技研究开发计划课题(2015X003-F);中国铁道科学研究院院基金重大项目(1551DZ8004)

摘　　要：大数据技术为分析铁路安全管理领域的海量历史数据,发现其事故规律提供了有效的手段。本文分析了铁路安全管理系统和数据现状,并结合大数据技术的特点,按照"人-设备-环境"3个方面,给出了铁路安全管理大数据应用的需求分析模型。该模型为实现设备的风险分析、状态维修,给决策者提供辅助决策,提高铁路安全预警水平,有重要指导意义。Big data provides an effective way for analysis massive historical data in the field of railway safety management to find the regularity of accidents. This article analyzed the present situation of Railway Safety Management System and data,combined with the characteristics of big data, was in accordance with the “people-equipment-environment” three aspects,gave a requirements analysis model for railway safety management of big data applications. This model is an effective way to implement the risk analysis and maintenance of the equipment, provide auxiliary decision-making for decision makers,improve railway safety warning level, which has important guiding significance.

关 键 词：大数据 安全管理 状态维修 辅助决策 安全预警 

分 类 号：U29-39[交通运输工程—交通运输规划与管理]