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基于大数据平台的铁路牵引供电智能运维系统构建

陶艳 曹源

控制与信息技术Issue(6):26-33,8.
控制与信息技术Issue(6):26-33,8.DOI:10.13889/j.issn.2096-5427.2025.06.003

基于大数据平台的铁路牵引供电智能运维系统构建

Development of Intelligent Operation and Maintenance System Based on Big Data Platform for Railway Traction Power Supply

陶艳 1曹源2

作者信息

  • 1. 湖南铁道职业技术学院,湖南株洲 412001
  • 2. 北京交通大学自动化与智能学院,北京 100044
  • 折叠

摘要

Abstract

To improve the operation and maintenance efficiency and intelligence level of traction power supply systems for electrified railways,an intelligent operation and maintenance system architecture based on a big data platform established using a distributed computing architecture is proposed.The architecture consists of a data source layer,a data transmission layer,a big data platform layer,and a data application layer.Equipment condition prediction and accurate fault diagnosis are enabled by AI algorithms,transforming"corrective maintenance"into"condition-based maintenance".The resulting intelligent operation and maintenance system for traction power supply integrates multiple functions such as intelligent inspection,data playback,power management,fault warning,and health management,involving key technologies such as intelligent equipment detection,equipment health diagnosis,big data-driven operation and maintenance,and network communication.The system has been implemented at a traction substation on the Wuhan-Guangzhou line of CR-Guangzhou,achieving a 30%increase in operation and maintenance efficiency,a 40%improvement in equipment health level,and a 38%increase in fault handling efficiency.These actual engineering application results fully confirm the feasibility and effectiveness of the proposed intelligent operation and maintenance system for traction power supply.

关键词

牵引供电系统/智能运维/大数据平台/数据分析/健康管理

Key words

traction power supply system/intelligent operation and maintenance/big data platform/data analysis/health management

分类

交通工程

引用本文复制引用

陶艳,曹源..基于大数据平台的铁路牵引供电智能运维系统构建[J].控制与信息技术,2025,(6):26-33,8.

基金项目

湖南省自然科学基金项目(2023JJ60231) (2023JJ60231)

控制与信息技术

2096-5427

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