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兵工学报 ›› 2024, Vol. 45 ›› Issue (S2): 153-161.doi: 10.12382/bgxb.2024.0871

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基于STPA和Bow-Tie模型的地面无人平台系统安全分析方法

肖扬1,2,3, 苏波1,3,*(), 纪超1,3, 杨德真2, 周桐1,3   

  1. 1 中兵智能创新研究院有限公司, 北京 100072
    2 北京航空航天大学 可靠性与系统工程学院, 北京 100191
    3 群体协同与自主实验室, 北京 100072
  • 收稿日期:2024-09-20 上线日期:2024-12-12
  • 通讯作者:

System Safety Analysis of Unmanned Ground Vehicles Based on STPA Method and Bow-Tie Model

XIAO Yang1,2,3, SU Bo1,3,*(), JI Chao1,3, YANG Dezhen2, ZHOU Tong1,3   

  1. 1 China North Artificial Intelligence & Innovation Research Institute, Beijing 100072, China
    2 School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    3 Collective Intelligence & Collaboration Laboratory, Beijing 100072, China
  • Received:2024-09-20 Online:2024-12-12

摘要:

随着地面无人平台(Unmanned Ground Vehicles,UGVs)在复杂作业环境中的潜在应用和战略价值日益凸显,确保其自主行为的安全性变得至关重要。提出一种结合系统理论过程分析(System-Theoretic Process Analysis,STPA)和Bow-Tie模型的地面无人平台系统安全分析方法。围绕遥控操作地面无人平台系统安全,通过STPA方法识别UGV系统中的不安全控制行为及其潜在风险,并利用Bow-Tie模型分析从损失致因场景到可能事故后果的事件链,得到风险传播路径和风险扩散路径。最终,基于Bow-Tie分析结果确定主被动安全分级控制措施,并通过自主安全控制器实现了系统安全管理。

关键词: 地面无人平台, 自主安全, 系统理论过程分析, Bow-Tie, 主被动安全控制措施

Abstract:

As the potential applications and strategic value of unmanned ground vehicles(UGVs)in complex operational environments become increasingly prominent,the safety of their autonomous actions is of paramount importance.This paper proposes a system safety analysis method for UGV,which combines the system-theoretic process analysis(STPA)method and the Bow-Tie model.Focusing on the safety of teleoperated UGVs,the STPA method is utilized to identify the unsafe control actions(UCAs)within the UGV system and their associated latent risks.Subsequently,the Bow-Tie model is utilized to analyze the event chain from loss causation scenarios to potential accident consequences,thereby delineating the risk propagation and diffusion pathways.Ultimately,the active and passive safety stratified control measures are determined based on the Bow-Tie analysis,and the system safety management is realized through an autonomous safety controller.

Key words: unmanned ground vehicle, autonomous safety, system-theoretic process analysis, Bow-Tie model, active and passive safety control measures