Design and Development of Intelligent Operator Support System for Nuclear Power Plants

被引:0
|
作者
Xu R. [1 ,2 ,3 ]
Wang H. [1 ,2 ,3 ]
Peng M. [1 ,2 ,3 ]
Liu Y. [1 ,2 ,3 ]
Yu Y. [1 ,2 ,3 ]
Ai X. [1 ,2 ,3 ]
机构
[1] Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin
[2] Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin
[3] Heilongjiang Provincial Key Laboratory of Nuclear Power Plant Performance and Equipment, Harbin
来源
关键词
Condition monitoring; Fault detection and diagnosis; Nuclear power plant intelligent operator support system (NPPIOSS);
D O I
10.13832/j.jnpe.2023.01.0159
中图分类号
学科分类号
摘要
In order to reduce the nuclear power plants operator’s work pressure and psychological burden when dealing with abnormal and accident conditions, and avoid misjudgment or misoperation, this research has designed and developed a set of nuclear power plant intelligent operator support system (NPPIOSS) for the reactor primary circuit system and its key auxiliary system, which integrates data acquisition and storage, online monitoring, fault detection and diagnosis, key parameter trend prediction and other functions. The simulation results show that NPPIOSS system can accurately detect and identify typical faults of nuclear power plant, so as to help operators accurately judge the state of power plant and reduce human error. Therefore, NPPIOSS system can assist operators in subsequent decision-making after the failure of nuclear power plant, so as to improve the operation safety of nuclear power plant. © 2023 Yuan Zi Neng Chuban She. All rights reserved.
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页码:159 / 166
页数:7
相关论文
共 7 条
  • [1] ISAAC A, SHORROCK S T, KIRWAN B., Human error in European air traffic management: the HERA project, Reliability Engineering & System Safety, 75, 2, pp. 257-272, (2002)
  • [2] NAITO N, SAKUMA A, SHIGENO K., A real-time expert system for nuclear power plant failure diagnosis and operational guide, Nuclear Technology, 79, 3, pp. 284-296, (1987)
  • [3] CHANG S H, KIM H G, CHOI S S, Et al., Development of the on-line operator aid system (oasysm) using rule based expert system and fuzzy logic for nuclear power plants, Advances in Human Factors/Ergonomics, 20, pp. 1051-1056, (1995)
  • [4] HSIEH M H, HWANG S L, LIU K H, Et al., A decision support system for identifying abnormal operating procedures in a nuclear power plant, Nuclear Engineering and Design, 249, pp. 413-418, (2012)
  • [5] LIU Y K, PENG M J, XIE C L, Et al., Research and design of distributed fault diagnosis system in nuclear power plant, Progress in Nuclear Energy, 68, pp. 97-110, (2013)
  • [6] AYODEJI A, LIU Y K, XIA H., Knowledge base operator support system for nuclear power plant fault diagnosis, Progress in Nuclear Energy, 105, pp. 42-50, (2018)
  • [7] XU R Y, PENG M J, WANG H, Et al., Research on fault detection and diagnosis method for nuclear power plants based on distributed strategy, International Conference on Nuclear Engineering, Proceedings, ICONE, (2019)