摘要
随着城市轨道交通列车运行自动化等级越来越高,信号系统实现的功能越来越复杂,系统之间的信息交互也越来越多。而经典功能安全分析技术更多关注的是组件失效引发的事件链,忽略了组件间复杂交互导致的不安全控制行为。为此引入基于系统理论的事故模型和过程(STAMP)致因模型的安全分析技术——系统理论过程分析STPA方法。针对全自动无人驾驶中的自动洗车功能,构建控制结构,识别子系统间交互存在的不安全控制行为和致因场景,确定风险规避措施,从而保证复杂功能的安全性。
Since the level of train operation automation becomes higher and higher,the functions of the signaling system are increasingly complex,and the information interaction in the signaling system becomes more and more.The classical functional safety analysis technology mainly focuses on the chain of events caused by component failure,while ignores the unsafe control actions caused by complex interactions between components.So the safety analysis technology based on the STAMP causal model(STPA)is introduced.For the automatic washing function in UTO,a control structure is constructed,and the unsafe control actions existing in the interaction between subsystems and also the hazard causal factor are identified,finally the risk mitigation measures are put forward so as to guarantee the safety of complex functions.
作者
马巧娜
高勇
Ma Qiaona;Gao Yong
出处
《铁道通信信号》
2022年第11期73-78,共6页
Railway Signalling & Communication
关键词
全自动无人驾驶
系统理论过程分析
不安全控制行为
安全约束
自动洗车
Unattended train operation(UTO)
System-theoretic process analysis(STPA)
Unsafe control action(UCA)
Safety constraint(SC)
Automatic train washing
作者简介
马巧娜,卡斯柯信号有限公司,工程师,200071,上海;高勇,卡斯柯信号有限公司,工程师,200071,上海。
