大数据在铁路车务系统安全管理中的应用

Application of Big Data in Safety Management for Railway Train Operation System

随着科技和网络技术的发展,车务系统安全管理领域数据采集手段越来越多样化,传输、储存成本更加低廉,且各类数据体量大、类型多、相关联性强,具有大数据的基本特征。通过挖掘应用相关数据,可发现安全事故发生规律,提高安全预警水平,为安全管理决策提供有效辅助手段。从发生时间和直接责任者2个方面,介绍大数据分析方法在车务系统安全管理领域的初步应用,分析制约大数据深入应用的因素,并有针对性地提出完善大数据应用的措施和建议。

With the devel0pment of technology and network technology, data collection methods in train operation system management are more and more diversified, and transmission and storage costs are much cheaper. Through further research on relevant data, we can discover the law of safety accident, improve the level of safety warning, and provide an effective auxiliary means for safety management decision-making. This paper introduces the initial application of big data analysis method in safety management of train operation system from 2 aspects of occurring time and directly responsible person, analyzes the factors restricting the in-depth application of big data, and puts forward some measures and suggestions for improving the application of big data.