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作 者:武丹丹 Wu Dandan
机构地区:[1]中国铁路呼和浩特局集团有限公司,呼和浩特010010
出 处:《铁道通信信号》2022年第4期34-39,共6页Railway Signalling & Communication
摘 要:铁路数据通信网承载业务具有多样性、复杂性等特点,如何通过智能化分析技术保证业务传输质量,提高故障处理精准度及效率,成为新时期的重要研究课题。本文开发了铁路数据通信网业务质量智能监测系统,旨在研究利用数据报文分析技术,对数据通信网业务质量进行监测,对端到端业务质量进行建模分析,以实现业务质量劣化预警,改变通信运维人员“后知后觉”为“先知先觉”,并利用报文分析快速定位故障。实践应用证明,数据报文分析对判断业务故障趋势、提高通信维护效率、确保行车安全具有积极意义。The services over railway data communication network are characteristic of diversity and complexity.How to use intelligent analysis approaches to ensure the quality of transmission services and improve the accuracy and efficiency of fault handling has become a key research topic in the new era.Therefore,the QoS monitoring system for railway data communication network was developed,which is aimed at studying the use of data message analysis technology to monitor the service quality of the railway data communication network.Meanwhile,early warning of service quality deterioration is realized by modeling and analyzing the quality of end-to-end services so as to push the working mode of communication operation and maintenance personnel shifting from"hindsight"to"foresight".In addition,the faults can be quickly pinpointed by message analysis.It is shown in practical application that the data message analysis is of positive significance to predict the trend of service faults,improve the communication maintenance efficiency and ensure the safety of train operation.
关 键 词:铁路数据通信网 业务 数据报文 服务质量 分析 监测
分 类 号:U285.4[交通运输工程—交通信息工程及控制]
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