城市轨道交通供电系统设备画像研究

城市轨道交通供电设备运营维护目前主要采用计划检修、故障检修模式,随着大数据处理、智能控制、BIM、物联网等先进技术的不断成熟,构建城市轨道交通供电设备智能运维系统,实现故障智能诊断已成为可能。本文通过引入“设备画像”的概念,结合不同设备的特点、常见故障、检修维护内容,定义了能够描述设备状态的各类标签,为智能运维系统的构建奠定了数据基础。

At present,the operation and maintenance of power supply equipment of urban rail transit mainly adopts the planned maintenance and fault maintenance modes.With the continuous maturity of big data processing,intelligent control,BIM,internet of things and other advanced technologies,it is possible to build an intelligent operation and maintenance system for power supply equipment of urban rail transit and realize intelligent fault diagnosis.By introducing the concept of"equipment portrait"and combining the characteristics,common faults and maintenance contents of different equipment,the paper defines various labels which are able to describe the status of equipment,laying a data foundation for the construction of intelligent operation and maintenance system.