面向场景的地铁全自动运行安全分析

Shuxia Lu, R. Niu, T. Tang
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引用次数: 1

摘要

中国首个自主开发的全自动运行铁路控制系统已在北京烟房线上装备,该线路于2018年初投入运营。新定义的无人驾驶功能与传统CBTC系统在集成测试阶段存在不匹配问题,特别是在异常或罕见的场景下。本文将一种新的安全分析方法stpa应用于全自动运行地铁的事故原因分析。提出了一种因果场景识别方法,提取全自动化运营地铁的异常运行场景,提高系统设计的应急响应能力,对北京烟房线的安全运行具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scenarios Oriented Safety Analysis of Fully Automatic Operation Metro
Chinese first independent developed railway control system for fully automatic operation has been equipped on Beijing Yanfang Line, which come into service on the beginning of 2018. The mismatching between newly defined functions for driver-less operation and traditional CBTC system is an issue in the phase of integration testing, especially in abnormal or seldom scenarios. In the paper, a newly safety analysis method-STPA is applied on Fully automatic operation metro to capture causal scenarios. A causal scenario identification method is proposed to help extract abnormal operational scenarios of Fully automated operation metro, which can be used to improve emergency response ability by system design and is meaningful for the safe operation of Beijing Yanfang Line.
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