logo

A framework for nuclear power plant emergency response system

NUCLEAR ENGINEERING

A framework for nuclear power plant emergency response system

Wang-kun CHEN
Nuclear Science and TechniquesVol.21, No.6pp.375-378Published in print 20 Dec 2010
36100

The purpose of this study is to establish an intelligent expert system for nuclear power plant emergency response. A new framework of environmental risk management methodology by the concept of pattern recognition was introduced in this paper. A knowledge-based decision support system for emergency response and risk management of nuclear power plant was also discussed. The mathematical pattern relationship of accidental release effects on neighboring area and the corresponding response measures were presented in this paper. With this decision system, the decision maker can specify the procedure and minimize their human error in the decision process. The improvement of risk response and the quality of management system could be upgraded by this system. Besides, the methodology can also be served as a basis for the future development of environmental risk response system design.

Expert systemEmergency responseRisk managementNuclear power plant
References
[1] Boneli P, Calori G, Frinzi G. Atmos Environ, 1992, 26A: 2523-2535.
[2] Chang Y C, Chang N B, Ma G D. Environ Model Assess, 2001, 6: 1-14.
[3] Chang N B, Wang S F. Com Environ Urban Syst, 1996, 20: 201-212.
[4] Chang N B, Wei Y L, Tseng C C, et al. Com Environ Urban Syst, 1997, 21: 67-94.
[5] Chang N B, Chen H W, Ning S K, et al. Water Intern, 2001, 26: 239-252.
[6] Chen W K, Sui G J, Tang D L,

Study of Environmental Risk Management by Multivariable Analysis of Pattern Structure

, Proceedings of The Fourth International Conference on Management Science and Engineering Management Chungli, Taiwan, November, 2010, 144-148.
Baidu ScholarGoogle Scholar
[7] Chen W K,

An Expert System for Managing Emergency Response of Air Pollution

, Proceedings of The 2010 International Conference on Machine Learning and Cybernetics, Qindao, Shandong, China, July, 2010, 2532-2537.
Baidu ScholarGoogle Scholar
[8] Robert P. Adis,

Atmospheric Modeling for Emergency Response in the Nuclear Industry

, Advances in Dispersion Modeling, 1997, 649-651.
Baidu ScholarGoogle Scholar
[9] Yang, T. Intern J Com Cognit, 2006, 4: 34-46.
[10] Yeung, M R, Ching E M. Nucl Technol, 1993, 101: 123-139.
[11] Yoshikawa T, Kimura F, Koide T, et al. Atmos Environ, 1990, 24A: 2739-2748.
[12] Yuan Y, Shaw M J. Fuzzy Sets Syst, 1995, 69: 125-139.