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列车确报系统国产化改造中后台应用程序适应性维护研究

Research on adaptive maintenance of back-end applications in localization transformation of train list reporting system

  • 摘要: 列车确报系统是铁路运输管理信息系统的核心子系统之一。为了加强铁路信息安全,响应国家自主化技术创新要求,中国国家铁路集团有限公司实施了列车确报系统的全面国产化改造,其中包括后台应用程序适应性维护。后台应用程序主要完成确报数据的接收、转发和入库处理,并与多个信息系统进行信息交互,直接决定列车确报系统的可靠性、性能及相关信息系统的稳定运行。基于列车确报系统架构及国产化改造技术选型,文章全面分析国产化改造对后台应用程序的相关影响,确定了后台应用程序适应性维护的范围,制定测试方案并搭建测试环境,对变更后的后台应用程序的功能与性能进行测试,确保后台应用程序稳定运行,性能下降程度可接受,与其它相关信息系统正常进行信息交互。文章提出的解决方案具有共通性,对交通运输行业及其他行业信息系统国产化改造具有一定参考价值。

     

    Abstract: The train list reporting system is one of the core subsystems of the railway transportation management information system. In order to reinforce railway cyber security and respond to the requirements of independent technological innovation, China Railway Group has implemented an all-aroundlocalization transformation of the train list reporting system, including adaptive maintenance of its back-end application programs, which mainly receive, forward, and store train list data, and complete data exchange with other information systems, directly determining the reliability and performance of the train list reporting system as well as the stable operation of related information systems. Based on the architecture of the train list reporting system and the selection of demestic IT products for localization transformation, this article comprehensively analyzes the relevant impact of localization transformation of the system on its back-end application programs, determined the scope of adaptive maintenance of the back-end application programs, developed a testing plan and built testing environments, and tested the functionality and performance of the changed back-end application programs to ensure that the programs can run stably, complete normal data exchange with other related information systems,and keep the degradation of system performance within an acceptable range. The solutions proposed in this article have commonalities and have certain reference value for the localization transformation of information systems in the transportation industry and other industries.

     

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