摘要
为了提高城市轨道交通基于通信的列车控制系统(CBTC)室内测试环境下的故障检测智能化与自动化水平,分析城市轨道交通CBTC智能故障分析系统的硬件框架结构方案,构建集群环境下系统网络拓扑结构,研究系统实现功能,并根据系统软件结构设计图,探讨城市轨道交通CBTC智能故障分析系统的工作流程。针对骨干网数据和子系统内网数据分别制定处理方案,研究故障识别方案设计、故障标签库设计和主动式故障识别处理模块设计等关键模块设计。城市轨道交通CBTC智能故障分析系统的研发对CBTC系统的快速投产应用具有良好的促进作用。
This study aims to improve the intelligent and automatic levels of fault detection by a communication-based train control(CBTC) system of urban rail transit in the indoor test environment. It analyzed the hardware framework scheme, constructed the network topology in a cluster environment, and investigated the implementation function regarding the intelligent fault analysis system built in the CBTC system of urban rail transit. Moreover, the workflow of the system was discussed according to its structural design drawing. Processing schemes were respectively formulated for the data of backbone network and networks within subsystems. On this basis, the design of key modules was studied, which included fault identification scheme, fault tag library and active fault identification and processing. The research and development of intelligent fault analysis systems in CBTC systems of urban rail transit facilitates the production and application of CBTC systems in the near future.
作者
白广争
冯浩楠
滕达
崔亦博
李亮
郜洪民
BAI Guangzheng;FENG Haonan;TENG Da;CUI Yibo;LI Liang;GAO Hongmin(Communication and Signal Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;National Railway Intelligent Transportation System Engineering Technology Research Center,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道运输与经济》
北大核心
2021年第8期112-118,共7页
Railway Transport and Economy
基金
中国铁道科学研究院集团有限公司科研项目(2020YJ045)。
