基于Alvis的高速铁路列车自动运行典型场景建模与验证

Yi Zhang, Kaicheng Li, Guodong Wei, Lei Yuan, Fei Wang
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引用次数: 0

摘要

采用形式化方法提高中国列控系统(CTCS)场景的可信度和正确性。目前,对CTCS-3级高速铁路技术发展起来的高速列车自动运行系统的正式研究较少。本文采用一种新的形式化方法Alvis,结合高级编程语言和图形化建模的优点,选择高速铁路ATO系统中区域间TSRS切换场景作为研究对象。利用UML序列图分析了场景的消息传递行为,建立了系统的Alvis模型,并将其转换为smv模型,支持模型检查工具nuXmv的形式化验证。根据需求验证了提取的消息的实时性,识别了技术规范与实际操作场景的不一致,并给出了解决方案。该方法的研究结果可为ATO列车控制系统在国内的技术推广提供参考。
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Modeling and validation of typical scenarios of high-speed railway automatic train operation based on Alvis
Formal methods are used to improve the credibility and correctness of scenarios in Chinese Train Control Systems (CTCS). At present, there are few formal studies on the high-speed Automatic Train Operation system that developed from CTCS-3 level high-speed railway technology. In this paper, we adopt a new formal method, Alvis, which combines the advantages of high-level programming language and graphical modeling and select the interzone TSRS handover scene in high-speed railway ATO system as the research object. The messaging behaviors of the scene are analyzed using UML sequence diagrams, and an Alvis model of the system is built, which is converted into an smv model supporting the formal validation of the model checking tool nuXmv. The real-time performance of the extracted messaging was verified on demand, inconsistency between technical specifications and actual operational scenarios was identified and solution was provided. The results of this method can provide some reference for the technical promotion of ATO train control system in China.
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