DocumentCode :
3365864
Title :
Hierarchical network-based safety assessment decision support system for thermal power plants
Author :
Zhang, ZuJun ; Yang, ZongXiao ; Zhang, Pei ; Mao, ZhiJie ; Hao, JieYu
Author_Institution :
Inst. of Syst. Sci. & Eng., Henan Univ. of Sci. & Technol., Luoyang
fYear :
2009
fDate :
26-29 March 2009
Firstpage :
592
Lastpage :
596
Abstract :
We present a new approach to design and develop a safety assessment decision support system (SADSS). This approach can improve extension of knowledge and efficiency of logic inference, combining with hierarchical network and the characteristic of the safety assessment process to build knowledge base. Based on investigation on inference engine and the design method of knowledge base, we introduced in detail how to set up SADSS for thermal power plant based on hierarchical network in this paper. According to introduce decision support system to safety assessment of power production process for power plant, it assists appraisers in making decisions and make the safety assessment process for thermal power plants systematization and automation. The proposed approach is applied successfully to safety assessment, which improves the level of the safety management.
Keywords :
decision support systems; electrical safety; inference mechanisms; knowledge based systems; power engineering computing; power plants; thermal power stations; hierarchical network; inference engine; knowledge base; logic inference; power production process; safety assessment decision support system; safety management; thermal power plant; Appraisal; Automation; Decision support systems; Design methodology; Engines; Logic; Power generation; Power system management; Product safety; Production systems; Safety assessment decision support system (SADSS); inference engine; knowledge base; logic inference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-3491-6
Electronic_ISBN :
978-1-4244-3492-3
Type :
conf
DOI :
10.1109/ICNSC.2009.4919344
Filename :
4919344
Link To Document :
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