基于原始数据报文分析的铁路通信数据网监测技术研究  

Research on Railway Communication Data Network Monitoring Technology Based on Analysis of Raw Data Messages

作　　者：汪涌 WANG Yong

机构地区：[1]中国铁路南昌局集团有限公司,南昌330002

出　　处：《铁道通信信号》2024年第7期51-56,共6页Railway Signalling & Communication

摘　　要：铁路通信数据网承载业务日益复杂多样,目前存在运维工具滞后、运维和业务部门职责划分不清、运维方式被动等问题。通过分析通信数据网运维现状,提出端到端业务运维方案:择优选取数据网监测可用数据源,对业务原始数据报文进行大数据挖掘,同时优化业务质量分析算法;实时监测数据网,实现数据网从用户端、网络端到服务端的实时监控及业务质量分析。对业务应用状态劣化问题预警,快速定位故障并回溯取证,可利用通信运维视角为业务应用服务,提高数据网故障处理精准度及效率,同时通过各种运维手段的有机结合,对业务应用进行模型层次管理,为铁路通信运维开拓新思路。Railway communication data network carrying services are increasingly complex and diverse,and there are some problems such as outdated operation and maintenance tools,unclear division of responsibilities between maintenance and business departments,and passive operation and maintenance methods.By analyzing the current operation and maintenance status of communication data networks,an end-to-end business operation and maintenance scheme is proposed.This scheme involves selecting optimal available data sources for data network monitoring,conducting big data mining on the raw business data messages,and optimizing business quality analysis algorithms.Real-time monitoring of the data network enables real-time monitoring and business quality analysis of the data network from the user end,network end,to the service end.By issuing warnings for degraded business application states,rapid fault localization and retrospective evidence collection can be achieved.Leveraging a communication operation and maintenance perspective to serve business applications improves the precision and efficiency of data network fault handling.Furthermore,by organically combining various operation and maintenance methods,hierarchical management of business applications is conducted,paving the way for new approaches in railway communication operation and maintenance.

关 键 词：铁路通信数据网 端到端业务运维 原始数据报文 大数据挖掘 业务质量分析算法 基线 

分 类 号：U285.41[交通运输工程—交通信息工程及控制]