Published May 2015 | Version v1
Journal article

Reliability analysis of operator's monitoring behavior in digital main control room of nuclear power plants and its application

  • 1. Ergonomics and Safety Management Institute, Hunan Institute of Technology, Hengyang (China)
  • 2. College of Nuclear Science and Technology, University of South China, Hengyang (China)
  • 3. Human Factors Institute, University of South China, Hengyang (China)

Description

In order to build a quantitative model to analyze operators' monitoring behavior reliability of digital main control room of nuclear power plants, based on the analysis of the design characteristics of digital main control room of a nuclear power plant and operator's monitoring behavior, and combining with operators' monitoring behavior process, monitoring behavior reliability was divided into three parts including information transfer reliability among screens, inside-screen information sampling reliability and information detection reliability. Quantitative calculation model of information transfer reliability among screens was established based on Senders's monitoring theory; the inside screen information sampling reliability model was established based on the allocation theory of attention resources; and considering the performance shaping factor causality, a fuzzy Bayesian method was presented to quantify information detection reliability and an example of application was given. The results show that the established model of monitoring behavior reliability gives an objective description for monitoring process, which can quantify the monitoring reliability and overcome the shortcomings of traditional methods. Therefore, it provides theoretical support for operator's monitoring behavior reliability analysis in digital main control room of nuclear power plants and improves the precision of human reliability analysis. (authors)

Additional details

Publishing Information

Journal Title
Atomic Energy Science and Technology
Journal Volume
49
Journal Issue
5
Journal Page Range
p. 921-929
ISSN
1000-6931

Optional Information

Notes
3 figs., 7 tabs., 25 refs.