基于情景融合的全自动运行系统危害分析技术

为提高城市轨道交通全自动运行(fully automatic operation，FAO)系统的安全性，本文从 FAO 系统运维的角度，提出一种基于情景融合的 FAO 系统危害分析技术。该技术通过场景要素识别，融合生成 FAO 应用场景后，综合选取等比例分配法、先验信息分配法或组合逻辑分配法，采用半定量安全完整性等级(safety integritylevel，SIL)分配技术完成核心子系统功能安全指标分配，解决传统功能故障模式影响及危害性分析(failure mode，effect and criticality analysis，FMECA)对多系统功能 SIL 分配存在局限性的问题，为后续 FAO 系统线路的危害分析及 SIL 分配工作提供参考。

Hazard Analysis Technology Based on Scenario Fusion forFully Automatic Operation System

In order to enhance the safety of Fully Automatic Operation (FAO) systems in urban rail transit, a hazard analysismethod for FAO systems is proposed, which is based on scenario fusion from the perspective of FAO system operation andmaintenance. The method initiates by identifying scenario elements and integrating them, to generate FAO application scenarios.It then comprehensively selects an allocation method of semi-quantitative SIL (Safety Integrity Level) among proportionalallocation, prior information allocation, and combined logical allocation, to complete the allocation of safety targets of functionsof the core subsystems. Finally, the analysis method is applied in an actual engineering project case, providing a reference forsubsequent hazard analysis and SIL allocation for metro lines with FAO system. This approach also addresses the limitationsof traditional FMECA (Failure Mode, Effect and Criticality Analysis) in performing SIL allocation for multi-system functions.