基于大数据挖掘的GSM-R网络综合监测系统

Big Data Mining Applications in the GSM-R Network Status Detection System

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 information technology railway, the railway business units produced a large number of the basic data. These data is valuable data resources needed railway production management and business decisions, also an important reference for research work required. Now the official arrival of the era of big data, the data began to shift from simple processing object as a basic resource. How to better take advantage of great data analysis and data mining technology services for the railway system has become a hot topic. In this paper, we have discussed data mining technology for big data applications in the railway system and the prospect of planning, also proposed an integrated GSM-R network status detection system based on great data mining, hoping to take advantage of big data deeper in information technology for railway construction exploration.