摘要
目前国内铁路信号专业运营维护主要通过监测系统与人工维护相结合的方式保障设备的正常、稳定运行,随着我国信息科技、互联网、云计算、物联网、智能终端等技术的不断发展与应用,智能监测技术已逐渐应用到信号系统维护工作中。为解决监测系统无法直接处理多源异构数据并进行智能分析与决策的问题,文章结合数据接入、数据融合、数据可视化、故障预测与健康管理等关键技术,分析并设计了铁路信号智能运维系统结构,利用铁路信号系统日常运营所产生的大量维护数据实现设备的故障定位、智能维护等功能,为铁路信号运维水平的提高及电务运维模式的转变提供参考。
At present, the operation and maintenance of domestic railway signal specialty mainly ensures the normal and stable operation of equipment through the combination of monitoring system and manual maintenance. With the continuous development and application of information technology, Internet, cloud computing, Internet of Things, intelligent terminal and other technologies in China,intelligent monitoring technology has been gradually applied to the maintenance work of signal system. In order to solve the problem that the monitoring system can not directly process multi-source heterogeneous data and carry out intelligent analysis and decision-making, this paper analyzes and designs the structure of railway signal intelligent operation and maintenance system combined with key technologies such as data access, data fusion, data visualization, fault prediction and health management and so on. It uses a large amount of maintenance data generated by the daily operation of railway signal system to realize the functions of fault location and intelligent maintenance of equipment, so as to provide reference for the improvement of railway signal operation and maintenance level and the transformation of electricity operation and maintenance mode.
作者
姚伟强
YAO Weiqiang(Altay infrastructure section of China Railway Urumqi Bureau Group Co.,Ltd.,Urumqi 830000,China)
出处
《现代信息科技》
2022年第8期111-113,119,共4页
Modern Information Technology
关键词
铁路信号
智能运维
大数据
railway signal
intelligent operation and maintenance
big data
作者简介
姚伟强(1983.04-),男,汉族,甘肃临夏人,助理工程师,本科,研究方向:铁路信号系统智能运维。
