摘要
随着数据体量的增加和计算机技术不断发展,研究基于大数据技术的接触网健康管理成为保证铁路安全运行的一个重要突破口。本文介绍了一种基于大数据技术的接触网健康管理方法,结合大数据的基本概念以及接触网大数据的基本特点,阐述了健康管理的主要内容,从数据获取层、数据处理层、AI健康管理体系和可视化表达层出发,介绍了基于大数据平台的接触网健康管理的架构设计流程,并对其中关键技术进行了论述,为提高接触网的安全稳定性提供了一种新方法。
With the increase of data volume and the continuous development of computer technology,the research of OCL health management based on big data technology has become an important breakthrough to ensure the safe operation of the railway.This paper introduces a method of OCL health management based on big data technology,and with connection to the basic concept of big data and the basic characteristics of OCL big data,this paper expounds the main contents of health management,starting from the data acquisition layer,data processing layer,AI health management system and visual expression layer,introduces the architecture design process of OCL health management based on big data platform,and discusses the key technologies,and these are able to provide a new method to improve the safety and stability of OCL.
出处
《电气化铁道》
2020年第S02期50-53,共4页
Electric Railway
