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铁路通信信号工程技术 ›› 2023, Vol. 20 ›› Issue (12): 83-87.DOI: 10.3969/j.issn.1673-4440.2023.12.015

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基于场景的全自动运行系统安全分析方法

付文佳,韩 涛,刘 倩,朱天民   

  1. 卡斯柯信号有限公司,北京 100070
  • 收稿日期:2023-04-21 修回日期:2023-11-01 出版日期:2023-12-25 发布日期:2023-12-25
  • 作者简介:付文佳(1984—), 男, 工程师, 硕士, 主要研究方向:城市轨道交通信号系统安全分析,邮箱:fuwenjia@casco.com.cn。
  • 基金资助:
    卡斯柯信号有限公司工程项目(A5.A0121078);
    发明专利:2023年国家发明专利(CN202310286683.0)


Scenario-Based Safety Analysis Method for Fully Automatic Train Operation Systems

Fu Wenjia,  Han Tao,  Liu Qian,  Zhu Tianmin   

  1. CASCO Signal Ltd., Beijing    100070, China
  • Received:2023-04-21 Revised:2023-11-01 Online:2023-12-25 Published:2023-12-25

摘要: 提出一种基于场景的全自动运行系统安全分析方法,对全自动运行系统每一个运行场景进行建模,识别该场景下的作用因素,以便快速识别出全自动运行系统每一个运行场景下可能存在的操作方面的风险及规避措施,根据剩余风险评估措施是否有效,从而得出一系列全自动系统各运行场景下应如何人为介入的防护措施,解决多家供应商提供的系统无法整体分析的问题,提升全自动运行系统的运营安全。

关键词: 全自动运行系统, 安全分析方法, 场景安全分析

Abstract: This paper proposes a scenario-based safety analysis method for fully automatic train operation systems. All the operation scenarios of fully automatic train operation systems are modeled, and the influencing factors in each scenario are identified, to quickly identify the possible operational risks and avoidance measures in each operation scenario of fully automatic operation systems. The effectiveness assessment of such measures is made on the basis of the residual risks. Thus, a series of protection measures through human intervention are obtained for various operating scenarios of fully automatic systems, which solves the problem that the systems provided by multiple suppliers cannot be analyzed as a whole, and improves the operation safety of fully automatic systems.

Key words: fully automatic train operation system, safety analysis method, scenario-based safety analysis

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