铁路通信信号工程技术2025，Vol.22Issue(9)：58-64,7.DOI:10.3969/j.issn.1673-4440.2025.09.010
铁路信号安全数据网数据监测分析
Research on Data Monitoring and Analysis of Railway Signaling Vital Data Network
摘要
Abstract
This study investigates a technical solution for the sustainable deep monitoring of channel data without any impact on the normal operation of the railway signaling vital data network.The proposed data collection methods include TAP collection,port mirroring,and fiber optic splitting to accommodate various application scenarios and fulfill the accuracy requirements for data sampling of the vital data network.Multiple network protocols are examined,and service interaction data are parsed and subjected to deep mining by using automation,artificial intelligence and big data technologies,to conduct intelligent analysis on the monitored channel data from the vital data network.This approach aims to identify potential faults within the vital data network in advance,thereby achieving its paradigm shift from breakdown maintenance towards condition based maintenance.关键词
可持续深度监测/安全数据网/多种网络协议/状态修Key words
sustainable deep monitoring/vital data network/multiple network protocols/condition based maintenance分类
交通工程引用本文复制引用
杨杰,石昊东,张森,王磊..铁路信号安全数据网数据监测分析[J].铁路通信信号工程技术,2025,22(9):58-64,7.基金项目
中国铁路济南局集团有限公司科技研究开发计划项目(2024D02) （2024D02）
