基于大数据技术的重载铁路电务专业智能运维数据汇集及共享方法研究  

Intelligent O&M Data Collection and Sharing Method in Heavy-Haul Railway Telecommunication and Signal Field Based on Big Data Technology

作　　者：杨东盛 尹明 王高志 马小宁 刘彦军 YANG Dongsheng;YIN Ming;WANG Gaozhi;MA Xiaoning;LIU Yanjun(Institute of Computing Technology,China Academy of Railway Sciences Group Corporation Limited,Beijing 100081,China;Safety&Environmental Protection Supervision Department,Guoneng Shuohuang Railway Development Co.,Ltd.,Cangzhou 062350,Hebei,China)

机构地区：[1]中国铁道科学研究院集团有限公司电子计算技术研究所,北京100081 [2]国能朔黄铁路发展有限责任公司安全环保监察部,河北沧州062350

出　　处：《铁道运输与经济》2023年第11期39-47,共9页Railway Transport and Economy

基　　金：国家能源集团科技创新项目(GJNY-20-231);中国铁道科学研究院集团有限公司科研项目(2019YJ106)。

摘　　要：为解决重载铁路通信、信号专业运维数据管理较为分散、集成整合困难、数据标准不统一等问题,满足电务专业数据互联互通及共享需求,提出一种重载铁路电务专业数据汇集及共享架构方案。该方案基于智能大脑平台提供的基础数据服务资源,利用分布式消息队列、RESTful接口等多种大数据汇集、共享相关接口技术,根据多源数据在应用层面的不同实时性要求,通过设计提出数据采集、共享一体化总线的架构形式,形成通信、信号专业数据的标准化的采集共享流程。此外,根据电务专业多种类型数据在汇集与共享中的实际情况及电务智能运维应用相关数据需求,基于流式数据处理方式,利用大数据生态组件实现电务专业数据的校验、清洗、治理等服务,并定制化实现数据存储、分析、可视化等服务功能,为电务智能运维应用的开展提供支撑。This paper proposed a data collection and sharing architecture scheme for heavy-haul railway telecommunication and signal field to solve the scattered management,difficult integration,and inconsistent standards of operation and maintenance data in heavy-haul railway telecommunication and signal field,and meet the requirements of data interconnection and sharing.Based on the basic data service resources provided by the intelligent brain platform,the scheme employed a variety of big data collection and sharing interface technologies such as distributed message queue and RESTful interface.Meanwhile,according to the different real-time requirements of multi-source data at the application level,the architecture form of data collection and sharing integration bus was designed to form a standardized collection and sharing process of communication and signal field data.Additionally,the paper considered the actual situation of the collection and sharing of various data types in the telecommunication and signal field,and relevant data needs of the intelligent operation and maintenance application of the telecommunication and signal field.Based on the streaming data processing method,it adopted big data ecological components to realize the verification,cleaning,governance,and other services of the telecommunication and signal field data.The service functions such as data storage,analysis,and visualization were customized to provide support for the intelligent operation and maintenance applications of telecommunication and signal field.

关 键 词：重载铁路 大数据 数据汇集 数据共享 电务 智能运维 

分 类 号：U282[交通运输工程—交通信息工程及控制]