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A computational method for probabilistic safety assessment of I&C systems and human operators in nuclear power plants

机译:核电厂I&C系统和人员的概率安全性评估的计算方法

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摘要

To make probabilistic safety assessment (PSA) more realistic, the improvements of human reliability analysis (HRA) are essential. But, current HRA methods have many limitations including the lack of considerations on the interdependency between instrumentation and control (I&C) systems and human operators, and lack of theoretical basis for situation assessment of human operators. To overcome these limitations, we propose a new method for the quantitative safety assessment of I&C systems and human operators. The proposed method is developed based on the computational models for the knowledge-driven monitoring and the situation assessment of human operators, with the consideration of the interdependency between I&C systems and human operators. The application of the proposed method to an example situation demonstrates that the quantitative description by the proposed method for a probable scenario well matches with the qualitative description of the scenario. It is also demonstrated that the proposed method can probabilistically consider all possible scenarios and the proposed method can be used to quantitatively evaluate the effects of various context factor on the safety of nuclear power plants. In our opinion, the proposed method can be used as the basis for the development of advanced HRA methods.
机译:为了使概率安全评估(PSA)更加切合实际,对人类可靠性分析(HRA)的改进至关重要。但是,当前的HRA方法存在许多局限性,包括缺乏对仪表和控制(I&C)系统与操作员之间相互依赖性的考虑,以及缺乏对操作员进行状况评估的理论基础。为了克服这些限制,我们提出了一种用于I&C系统和操作人员的定量安全评估的新方法。考虑到I&C系统与操作员之间的相互依赖性,基于计算模型开发了该方法,用于知识驱动的监视和操作员状况评估。将所提出的方法应用于示例情况表明,所提出的方法对可能场景的定量描述与场景的定性描述很好地匹配。还证明了所提出的方法可以概率地考虑所有可能的情况,并且所提出的方法可以用于定量评估各种环境因素对核电厂安全的影响。我们认为,所提出的方法可以用作开发高级HRA方法的基础。

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