Journal
ANNALS OF NUCLEAR ENERGY
Volume 102, Issue -, Pages 168-178Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.anucene.2016.12.011
Keywords
Situation awareness; Human error; Analysis method; Digitized main control rooms
Categories
Funding
- National Natural Science Foundation of China [71371070, 71071051, 71301069, 51674145, 71501068]
- Lingdong Nuclear Power Plant, China [KR70543]
- construct program of the key discipline in Hunan province
- Innovation Ability Construction Projects based on the new Industry-Academy-Research Cooperation of Hunan Province, China [2012GK4101]
- Construct Program of the Key Discipline in Hunan Province, China [USC2016]
- Post-doctoral Science Foundation of China [2016M600633]
- Humanities and Social Science Foundation of Ministry of Education, China [11YJC630207]
- Social Science Foundation of Hunan Province, China [2016G025]
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Situation awareness (SA) is a key element that impacts operator's decision-making and performance in nuclear power plants (NPPs). The subsequent complex cognitive activities cannot be correctly completed due to errors of situation awareness (ESA), which will lead to disastrous consequences. In order to investigate and analyze operator's ESA in the digitized main control room (DMCR) of a nuclear power plant, the model of ESA is established, the classification system of ESA is developed based on the built ESA model, and the analysis method of ESA is also constructed on the basis of the observation of simulator and operator surveys. Finally, a case study is provided to illustrate the concrete application of the method. It provides a theoretical and practical support for the operator's SAE analysis in a digitized main control room of a nuclear power plant. (C) 2016 Elsevier Ltd. All rights reserved.
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