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核电厂主控室进行数字化变革后,操纵员执行状态评估任务的方式发生了巨大变化。为了有效地识别及评估数字化对状态评估的潜在影响,以知觉/循环、资源限制等认知理论为基础,以贝叶斯概率网络为工具,建立状态评估可靠度的影响因素模型。定性分析这些因素对状态评估任务的影响机制,并定量比较它们的影响程度。分析结果表明,界面管理任务和任务负荷变迁,对状态评估的影响最为显著。需采取针对性的措施,优先处理这些人因问题,以最大限度地提高数字化核电厂的安全水平。
After the digitized transformation of the nuclear power plant main control room, the way in which the operator performs the state assessment task has undergone tremendous changes. In order to effectively identify and evaluate the potential impact of digitization on state assessment, a Bayesian probabilistic network is used as a tool to establish the model of the influencing factor of state assessment reliability based on cognitive theory such as perception / circulation and resource restriction. Qualitative analysis of the impact of these factors on the state assessment tasks and quantitative comparison of their impact. The analysis results show that the interface management tasks and task load changes have the most significant impact on the state assessment. Targeted measures need to be taken to prioritize these people as a matter of priority so as to maximize the safety of digital nuclear power plants.