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Modeling digital main control room operator’s resilience under extreme conditions: An Experiment design scheme

机译:在极端条件下建模数字主控室运营商的弹性:实验设计方案

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Human reliability is one of the most important factors that make effects in nuclear power plant(NPP) operation. In advanced digital NPP main control room with high levels of automation, the systematic operation which require a sufficient mental workload to address those undesired events has become a critical challenge for operators. The aim of this research is to identify the operator’s reliability by developing a resilience model. In this work, a seven-stage technique framework is proposed, which includes the skeleton of theoretical analysis, experimental design and hardware setting to how to establish the model for NPP operator in a downsize main control room cabin. The resilience model for operators’ reliability via assessing their basic skill tasks performance and evaluating their cognitive workload in the framework hence can be used for assessing the level of training of the new employed operators as well as human reliability in other critical process industries.
机译:人类可靠性是在核电厂(NPP)操作中产生影响的最重要因素之一。 在高级自动化的先进数字NPP主控室中,系统操作需要足够的心理工作量来解决这些不期望的事件已成为运营商的危急挑战。 本研究的目的是通过开发恢复力模型来确定操作员的可靠性。 在这项工作中,提出了一种七阶段技术框架,其中包括理论分析,实验设计和硬件设置的骨架,以及如何在缩小主控室舱中建立NPP操作员模型。 通过评估其基本技能任务性能和评估框架中的认知工作量的恢复力模型可用于评估新采用的运营商以及其他关键过程行业的人类可靠性。

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