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A SIL quantification approach based on an operating situation model for safety evaluation in complex guided transportation systems

机译:基于运行状况模型的SIL量化方法,用于复杂的引导运输系统的安全性评估

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摘要

Safety analysis in guided transportation systems is essential to avoid rare but potentially catastrophic accidents. This article presents a quantitative probabilistic model that integrates Safety Integrity Levels (SIL) for evaluating the safety of such systems. The standardized SIL indicator allows the safety requirements of each safety subsystem, function and/or piece of equipment to be specified, making SILs pivotal parameters in safety evaluation. However, different interpretations of SIL exist, and faced with the complexity of guided transportation systems, the current SIL allocation methods are inadequate for the task of safety assessment. To remedy these problems, the model developed in this paper seeks to verify, during the design phase of guided transportation system, whether or not the safety specifications established by the transport authorities allow the overall safety target to be attained (i.e., if the SIL allocated to the different safety functions are sufficient to ensure the required level of safety). To meet this objective, the model is based both on the operating situation concept and on Monte Carlo simulation. The former allows safety systems to be formalized and their dynamics to be analyzed in order to show the evolution of the system in time and space, and the latter make it possible to perform probabilistic calculations based on the scenario structure obtained.
机译:引导式运输系统中的安全分析对于避免罕见但潜在的灾难性事故至关重要。本文介绍了一种定量概率模型,该模型集成了安全完整性级别(SIL)以评估此类系统的安全性。标准化的SIL指示器允许指定每个安全子系统,功能和/或设备的安全要求,从而使SIL成为安全评估中的关键参数。但是,存在关于SIL的不同解释,并且面对引导式运输系统的复杂性,当前的SIL分配方法不足以进行安全评估。为了解决这些问题,本文开发的模型旨在在引导运输系统的设计阶段验证运输当局制定的安全规范是否允许总体安全目标的实现(即,是否分配了SIL)不同的安全功能足以确保所需的安全级别)。为了实现此目标,该模型基于操作情况概念和蒙特卡洛模拟。前者可以对安全系统进行形式化分析,并对其动态进行分析,以显示系统在时间和空间上的演变,而后者则可以根据获得的方案结构执行概率计算。

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