摘要
简要介绍了城市轨道交通信号各子系统在自诊断方面存在的不足以及目前信号设备巡检中存在的问题,研究和探讨了一种基于视频智能识别和深度学习技术的轨道交通信号设备自动巡检实现方案;详细介绍了该方案的系统结构、实现功能、关键技术和难点;最后总结了该应用研究对城市轨道交通信号系统设备维护和轨道交通安全可靠运营的意义。
The defects in self-diagnosis of the subsystems of the signaling system in urban rail transit are briefly introduced and the problems in the inspection of signal equipment are also discussed.So,a scheme of automatic inspection of signal equipment in urban rail transit is explored,which is based on intelligent video recognition and deep learning technology.The system structure,functions implementation and key technologies and technical difficulties are detailed.Finally,the significance of the research are summarized in term of the maintenance of the signaling system as well as the safety and reliability of the operation of an urban rail transit.
作者
胡恩华
裴加富
林立
王继东
Hu Enhua;Pei Jiafu;Lin Li;Wang Jidong
出处
《铁道通信信号》
2019年第3期64-67,共4页
Railway Signalling & Communication
关键词
城市轨道交通
视频智能识别
自动巡检
深度学习
Urban rail transit
Intelligent video identification
Automatic inspection
Deep learning