{"title":"An Analysis of Intelligent Operation and Maintenance for Rail Transit Electric Locomotives","authors":"Qi Liu, Ning Li, Haichuan Tang, Xuemei Jia","doi":"10.26855/ea.2023.06.002","DOIUrl":null,"url":null,"abstract":"The transportation capacity pressure and the high technological content of rail transit equipment make safety control problems potentially disastrous. These challenges elevate demands for the development of intelligent technology in the field of rail transit operation and maintenance, allowing significant room for growth and development in the industry. This paper reviews the current status of intelligent operation and maintenance by discussing the intelligent operation and maintenance detection of locomotives and the electric locomotive technology state management platform in rail transit. Through an analysis of locomotive operating data acquisition, the architecture of the intelligent monitoring and maintenance system, key factors affecting fault diagnosis and remote operation and maintenance, and intelligent operation and maintenance systems, this paper summarizes the current state of intelligent operation and maintenance.","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical engineering advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26855/ea.2023.06.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The transportation capacity pressure and the high technological content of rail transit equipment make safety control problems potentially disastrous. These challenges elevate demands for the development of intelligent technology in the field of rail transit operation and maintenance, allowing significant room for growth and development in the industry. This paper reviews the current status of intelligent operation and maintenance by discussing the intelligent operation and maintenance detection of locomotives and the electric locomotive technology state management platform in rail transit. Through an analysis of locomotive operating data acquisition, the architecture of the intelligent monitoring and maintenance system, key factors affecting fault diagnosis and remote operation and maintenance, and intelligent operation and maintenance systems, this paper summarizes the current state of intelligent operation and maintenance.