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Workload measurement using physiological and activity measures for validation test: A case study for the main control room of a nuclear power plant
Affiliation:1. Engineering Academy of Serbia, Belgrade, Serbia;2. University of Ni?, Faculty of Occupational Safety, Ni?, Serbia;1. School of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Street, No. 145-1, PO. Box 150001, Harbin City, China;2. School of Science and Technology, University of Rwanda, PO. Box: 3900, Kigali, Rwanda;1. 2123A Systems Research & Academic Building, Engineering Management & System Engineering, Old Dominion University, Norfolk, VA 23529, USA;2. Volvo Group North America, Group Trucks Technology (GTT), Advanced Technology & Research (ATR), 7825 National Service Road, Mail Stop AP1/3-41, Greensboro, NC 27409, USA
Abstract:In design of safety-critical and social-technical systems such as a nuclear power plant, practitioners are required to conduct a performance-based Integrated System Validation (ISV) test to verify that the system design could support the safe operation of the plant. Measurement of workload should be included. However, subjective workload measurements could not provide detailed information and continuous monitoring of the changing workload. This study compared physiological (heart rate difference, heart rate variability, respiration rate and breathing wave amplitude) and activity (number of walking steps, peak acceleration, activity level, and inclination) measures with workload defined as intensity of task demand and estimated with a task complexity measure in an ISV test. The test was conducted on a full-scale simulator using a beyond design-basis accident scenario. The results show that heart rate difference and respiration rate are positively correlated with the estimated workload, while heart rate variability and breathing wave amplitude are negatively correlated with the estimated workload. For operations using traditional panels, high workload is accompanied by larger number of walking steps, higher activity level, and smaller angles of inclination. It is suggested that continuous monitoring of cardiovascular, respiration, and activity measures can detect workload change during the ISV test. Relevance to industry: This study provides recommendations for continuous monitoring of workload during an ISV test of a nuclear power plant. The identified physiological and activity measures can be applied in detecting workload change. The findings are supportive in meeting regulatory requirements and improving system design in the nuclear domain.
Keywords:Workload  Task complexity  Physiological measures  Nuclear power plants  Validation test
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