An Assessment Model of Operator’s Response Implementation Reliability in Digital Main Control Rooms of Nuclear Power Plants

Li Pengcheng; Li Xiaofang; Dai Licao; Zhang Li; Qing Tao; Jiang Jianjun

doi:10.13832/j.jnpe.2018.05.0095

Volume 39 Issue 5

Oct. 2018

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Li Pengcheng, Li Xiaofang, Dai Licao, Zhang Li, Qing Tao, Jiang Jianjun. An Assessment Model of Operator’s Response Implementation Reliability in Digital Main Control Rooms of Nuclear Power Plants[J]. Nuclear Power Engineering, 2018, 39(5): 95-100. doi: 10.13832/j.jnpe.2018.05.0095

Citation:

Li Pengcheng, Li Xiaofang, Dai Licao, Zhang Li, Qing Tao, Jiang Jianjun. An Assessment Model of Operator’s Response Implementation Reliability in Digital Main Control Rooms of Nuclear Power Plants[J]. Nuclear Power Engineering, 2018, 39(5): 95-100. doi: 10.13832/j.jnpe.2018.05.0095

Citation:

Li Pengcheng, Li Xiaofang, Dai Licao, Zhang Li, Qing Tao, Jiang Jianjun. An Assessment Model of Operator’s Response Implementation Reliability in Digital Main Control Rooms of Nuclear Power Plants[J]. Nuclear Power Engineering, 2018, 39(5): 95-100. doi: 10.13832/j.jnpe.2018.05.0095

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An Assessment Model of Operator’s Response Implementation Reliability in Digital Main Control Rooms of Nuclear Power Plants

doi: 10.13832/j.jnpe.2018.05.0095

1. Human Factor Institute, University of South China, Hengyang, Hunan, 421001, China;
2. Institute of Human Factor and Safety Management, Hunan Institute of Technology, Hengyang, Hunan, 421002, China

Received Date: 2018-03-01
Rev Recd Date: 2018-07-16

Abstract

Abstract

In order to quantitatively evaluate operator’s response implementation reliability in digital main control rooms（MCRs） of nuclear power plants（NPPs）, main performance shaping factors（PSF） are identified by contextual environment analysis. Weight of the PSF are identified by analytic hierarchy process（AHP）. Furthermore, the assessment model of response implementation reliability is established based on the proposed 6 model hypotheses. A case is given to illustrate the specific application of the established method. Finally, the effectiveness of the established method is validated by case and comparative analysis. Results show that the error probability estimation results of the method is consistent with that of CREAM and SPAR-H.
- Response implementation,
- Human reliability,
- Performance shaping factor,
- Evaluation method