铁路物流2025，Vol.43Issue(8)：40-46,7.DOI:10.16669/j.cnki.issn.2097-5899.202412040001
基于大数据的铁路通信基础设备健康度分析预测
Big Data-Based Health Analysis and Prediction of Railway Communication Infrastructure
李维平 1苏天祺 2王林涛 2刘杰 3鲁帅4
作者信息
- 1. 陕西铁路物流集团有限公司,陕西西安 710077
- 2. 陕西靖神铁路有限责任公司运输管理部,陕西榆林 719000
- 3. 陕西靖神铁路有限责任公司孟家湾综合维修车间,陕西榆林 719000
- 4. 北京全路通信信号研究设计院集团有限公司运输指挥与信息技术研究院,北京 100070
- 折叠
摘要
Abstract
This study predicted trends in the performance index of railway communication infrastructure to identify latent risks and constructed a health analysis and prediction system to support operation and maintenance staff in highlighting critical equipment and optimizing routine inspection and maintenance.The study covered the infrastructure of five network management systems,including transmission network management,data network management,LTE network management,optical cable network management,and video network management.It conducted a health evaluation from three dimensions:equipment status,alarms,and risk level prediction.Data acquisition,preprocessing,alarm summarization,performance index prediction,and risk grading were executed to establish a complete health evaluation system for railway communication infrastructure.The system periodically evaluated equipment health,scheduled maintenance rationally,reduced maintenance cost and energy consumption,enabled predictive measures,shortened unplanned downtime,and improved equipment stability and reliability.关键词
铁路通信/趋势预测/预测算法自适应/对比学习/精确度评估/风险预测评估/健康度评估Key words
Railway Communication/Trend Prediction/Adaptive Prediction Algorithm/Contrastive Learning/Precision Evaluation/Risk Prediction Evaluation/Health Evaluation分类
交通工程引用本文复制引用
李维平,苏天祺,王林涛,刘杰,鲁帅..基于大数据的铁路通信基础设备健康度分析预测[J].铁路物流,2025,43(8):40-46,7.
