摘要
从供电设备运维现状和智能化、精细化管理需求出发,引入预知性维修方法,应用智能传感、大数据、软件集成、人工智能、视频分析、虚拟现实等科学技术,构建一个涵盖"前端监测+后台管理+过程管控"的智能管控体系,实现安全、高效、智能的城市轨道交通供电设备运维管理。
This paper discusses an intelligent management and control system for operation and maintenance of urban rail transit power supply equipment. Starting from the status quo and intelligent and refined management requirements of operation and maintenance power supply equipment of this paper introduces predictive maintenance methods, application of intelligent sensing, big data, software integration, artificial intelligence, video analysis, virtual reality, and other scientific technologies. It further presents a comprehensive intelligent management and control system covering "front-end monitoring and background management and process management and control" to realize safe, efficient, and intelligent rail transit power supply equipment operation and maintenance management.
作者
李军
LI Jun(Nanning Rail Transit Group Co.Ltd.Operating Branch,Nanning 530029)
出处
《都市快轨交通》
北大核心
2021年第1期149-154,共6页
Urban Rapid Rail Transit
关键词
城市轨道交通
供电设备
预知性维修
视频智能分析
智能诊断
一键停送电
作业安全管控
urban rail transit
power supply equipment
predictive maintenance
video intelligence analysis
intelligent diagnosis
one key to power-off or supply
production safety control