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Human Performance Detection Using Operator Action Log of Nuclear Power Plant

Author

Listed:
  • Xinyu Dai

    (College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China)

  • Ming Yang

    (College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
    Institute for Advanced Study in Nuclear Energy & Safety, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China)

  • Jipu Wang

    (Institute for Advanced Study in Nuclear Energy & Safety, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China)

  • Zhihui Xu

    (College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
    State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, Shenzhen 518000, China)

  • Hanguan Wen

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

Abstract

The introduction of digital technologies into the main control room of a nuclear power plant also introduces new human errors. The operator log records the control information of operators on systems and equipment, and provides an important data source for the retrospective investigation of operating events in a nuclear power plant. A traditional operator log review is conducted manually, which has some major problems, such as being time-consuming and inefficient. This paper proposes an automatic detection method for operator logs, which models an operating procedure at three levels, including procedure, step and action. Such a model clarifies the overall logic and basic attributes of the operating procedure, and can be used as a standardized template of a control action sequence to compare with the actual operation actions in the operator log, so as to identify possible human performance deviations. This paper explains the method, and discusses the advantages and limitations of the proposed method.

Suggested Citation

  • Xinyu Dai & Ming Yang & Jipu Wang & Zhihui Xu & Hanguan Wen, 2023. "Human Performance Detection Using Operator Action Log of Nuclear Power Plant," Energies, MDPI, vol. 16(4), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1573-:d:1057883
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    References listed on IDEAS

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