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随着铁路信息化的发展,铁路各业务部门产生了大量的基础数据,这些数据是铁路生产管理和经营决策所需的宝贵的数据资源,也是科研工作所需的重要参考资料。如今,大数据时代正式到来,数据从简单的处理对象开始转变为一种基础性资源,如何更好地进行数据分析和利用大数据挖掘技术为铁路系统服务已经成为研究热点。针对大数据挖掘技术在铁路系统应用进行了前景展望和规划,同时提出了一种基于大数据挖掘的GSM-R网络状态综合检测系统,期望能在利用大数据为铁路信息化建设方面进行更深的探索。
With the development of railway informationization, a great deal of basic data has been produced by railway business departments. These data are valuable data resources needed for railway production management and business decision-making, and are also important reference materials for scientific research. Nowadays, when the era of big data comes to an official date, data has been transformed from a simple object to a basic resource. How to conduct better data analysis and use big data mining technology to serve the railway system has become a research hotspot. Aimed at the prospect and planning of the application of big data mining technology in railway system, a comprehensive GSM-R network status detection system based on big data mining is also proposed. It is expected that the application of big data to deepen the railway information construction explore.