Evolution of Workload Demands of the Control Room with Plant Technology

Jinchao Lin, G. Matthews, Jacquelyn L. Schreck, Kelly Dickerson, Niav Hughes
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Abstract

The management and assessment of operator workload is a critical element of nuclear power plant (NPP) safety. Operators in the NPP main control room (MCR) often face workload that varies both quantitatively and qualitatively as immediate task demands change. Although workload is an intuitive construct, it is not easy to define and measure in practice. This paper reviews the conceptual and empirical challenges in workload assessment, discusses the evolution of workload in MCRs, and presents subjective workload data from recent U.S. Nuclear Regulatory Commission (NRC)’s Human Performance Test Facility (HPTF) studies. Designs for NPP control rooms will increasingly utilize new technology, ranging from digitization of I&C through automation of operator functions to eventual use of AI. Workload assessment can contribute to determining whether the technology reduces cognitive demands on operators or has detrimental effects, such as increasing the vulnerability to human errors. We advocate for a multidimensional workload assessment approach based on Multiple Resource Theory and workload assessment should be combined with measurements of other constructs such as situation awareness, teamwork, and trust to identify vulnerabilities to error in NPPs.
植物技术下控制室工作量需求的演变
操作人员工作量的管理和评估是核电厂安全的关键因素。核电站主控制室(MCR)的操作人员经常面临随着即时任务需求的变化而在数量和质量上发生变化的工作量。虽然工作量是一个直观的概念,但在实践中并不容易定义和度量。本文回顾了工作量评估的概念和经验挑战,讨论了mcr中工作量的演变,并介绍了最近美国核管理委员会(NRC)人类绩效测试设施(HPTF)研究中的主观工作量数据。核电站控制室的设计将越来越多地利用新技术,从I&C的数字化到操作员功能的自动化,再到最终使用人工智能。工作量评估有助于确定该技术是降低了对操作人员的认知需求,还是产生了有害影响,例如增加了对人为错误的脆弱性。我们提倡基于多资源理论的多维工作负载评估方法,工作负载评估应与其他结构(如态势感知、团队合作和信任)的测量相结合,以识别核电站的错误漏洞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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