接触网检测大数据的应用与发展  

Application and Development of Big Data for Catenary Inspection

作　　者：胡斌 HU Bin(Taiyuan Branch of Communication Engineering Bureau Group Co.,Ltd.,Taiyuan 030000,China)

机构地区：[1]通号工程局集团有限公司太原分公司,太原030000

出　　处：《移动信息》2023年第7期333-335,共3页MOBILE INFORMATION

摘　　要：接触网是保障电气化铁路可靠运营的重要基础设施,对接触网设备进行定期检测并依据结果进行维修,能有效保障铁路供电的可靠性。文中通过对铁路行业大数据技术的应用研究,分析了接触网大数据专业运用现状与目标之间的差距,梳理了为实现大数据应用而进行的数据规范、数据清理等有效检测数据管理手段,然后介绍了对设备状态微小变化识别和接触网质量状态变化趋势分析等智能分析技术,并对其在接触网设备状态预测预警方面的应用进行了阐述,最后介绍了人工智能和云计算等在接触网检测大数据中的应用。The catenary is an important infrastructure to ensure the reliable operation of electrified railways.Regular testing of the catenary equipment and maintenance according to the results can effectively ensure the reliability of railway power supply.Through the application research of big data technology in the railway industry,this paper analyzes the gap between the current situation and the goal of the professional application of catenary big data,and sorts out the effective detection data management methods such as data specification and data cleaning for the realization of big data application.Then,intelligent analysis technologies such as identification of minor changes in equipment state and analysis of catenary quality state change trends are introduced,and their application in catenary equipment state prediction and early warning is expounded.Finally,artificial intelligence and cloud computing are introduced the application of network detection big data in catenary.

关 键 词：接触网 大数据 应用 

分 类 号：U226.8[交通运输工程—道路与铁道工程]