摘要
本文深入分析了运维系统在现代城市轨道交通中的重要性以及设备维护过程中存在的问题。研究了智能化城市轨道交通信号运维系统架构、智能运维过程中所需使用的先进技术以及在运维系统中应用的可行性,强调了大数据技术应用的必要性。提出了一种基于大数据和人工智能技术的城市轨道交通信号系统智能化运维架构,该架构运用微服务技术进行搭建,融合了大数据分析、机器学习等先进技术,进一步提高城市轨道交通信号运维系统的自动化和智能化程度。
This paper deeply analyzes the importance of operation and maintenance system in modern urban rail transit and the problems existing in the process of equipment maintenance.This paper studies the architecture of intelligent urban rail transit signal operation and maintenance system,the advanced technologies needed in the process of intelligent operation and maintenance and the feasibility of application in the operation and maintenance system,and emphasizes the necessity of application of big data technology.An intelligent operation and maintenance architecture of urban rail transit signal system based on big data and artificial intelligence technology is proposed.The architecture is built by micro-service technology and integrates advanced technologies such as big data analysis and machine learning to further improve the automation and intelligence of urban rail transit signal operation and maintenance system.
作者
苏雯
SU Wen(CRRC Qingdao Sifang Rolling Stock Research Institute Co.,Ltd.,Qingdao 266031,China)
出处
《智慧轨道交通》
2024年第2期36-40,共5页
SMART RAIL TRANSIT
关键词
城市轨道交通
信号系统
智能运维
系统架构
大数据分析
机器学习
urban rail transit
signal system
intelligent operation and maintenance
system architecture
big data analysis
machine learning
