基于人工智能的铁路电务设备检修模式的探讨  

Discussion on Maintenance Mode of Railway Signal&Communication Equipment Based on Artificial Intelligence

作　　者：徐炳辉[1] XU Binghui(Yuanping Branch of Shuohuang Railway Development Co.,Ltd.,Yuanping,Shanxi 034000)

机构地区：[1]朔黄铁路发展有限责任公司原平分公司,山西原平034000

出　　处：《能源科技》2023年第1期81-85,共5页Energy Science and Technology

基　　金：朔黄铁路公司级科技项目(SHTL-2017-21)。

摘　　要：铁路电务设备采用的检修方式通常称作“计划修”,内容包含定期巡视、周期检修、按期中修、阶段大修。这种不论使用处所、使用频次、外部环境,均投入相同人力和物力资源的检修模式,显然在维修资源利用和分配上不尽合理。因此,对设备维修有必要由“计划修”向“状态修”转变。依托人工智能,对电务设备多种影响因素综合考虑,进行分类整理和运算,生成资源利用最优化的检修计划,是铁路电务设备维修改革的有益尝试。The maintenance mode applied for railway electrical equipment is usually called"planned maintenance",which includes regular inspection,periodic maintenance,scheduled intermediate maintenance and phased overhaul.This maintenance mode with which the same human and material resources are invested regardless of the place and frequency of use and the external environment,is obviously unreasonable in terms of the utilization and distribution of maintenance resources.For this reason,it is necessary for equipment maintenance to change from"planned maintenance"to"condition-based maintenance".It is a useful attempt for the reform of railway electrical equipment maintenance by using artificial intelligence technology to comprehensively consider a variety of factors affecting electrical equipment,perform sorting and computing,and generate maintenance plans that optimize the use of resources.

关 键 词：电务 状态修 计划修 人工智能 

分 类 号：U284[交通运输工程—交通信息工程及控制]