摘要
随着轨道交通信号系统研发技术的提升,信号设备及轨旁基础设备的维护需求也在不断增加,传统的维护支持子系统已经不能够满足现有的运营维护需求,为此提出轨道交通信号智能运维系统方案。利用大数据、人工智能、高维数据可视化等技术,对信号相关设备在运行过程中所产生的大量维护数据进行采集、传输、存储、计算和分析,实现信号系统的运行状态监测、维护数据智能分析、健康管理、智能维护等功能,从而提升信号系统相关设备的运维效率。
With the improvement of research and development technology for rail transit signal systems,the maintenance demands of signal equipment and trackside basic equipment are also constantly increasing.In view of the fact that the traditional maintenance support subsystem can no longer meet the existing operation and maintenance requirements,a signal intelligent operation and maintenance system scheme for rail transit is proposed.Applying big data,artificial intelligence,high-dimensional data and information visualization and other related technologies to collect,transmit,store,calculate and analyze a large amount of maintenance data generated by the related signal equipment during operation,the functions of the signal system such as operation status monitoring,intelligent analysis of maintenance data,health management and intelligent maintenance are realized,thereby improving the operation and maintenance efficiency of related equipment of the signal system.
出处
《铁道通信信号》
2023年第10期8-14,共7页
Railway Signalling & Communication
基金
天津津航计算技术研究所研发项目(RD-2021-MSS)。
关键词
轨道交通
信号系统
大数据技术
人工智能
智能运维系统
Rail transit
Signaling system
Big data technology
Artificial intelligence
Intelligent operation and maintenance system
