DocumentCode
2654214
Title
Research on Gas Explosion IDSS in Coalmines Based on CBR
Author
Li, Wang ; Shui-cheng, Tian ; Xiao-fang, Yuan ; Xian-min, Ma
Author_Institution
Safety Manage. Inst., Xian Univ. of Sci. & Technol., Xian
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
652
Lastpage
656
Abstract
The coalmine gas hazard affected safety of China coalmine production most. As there were lots of complicated and uncertain factors during gas accidents emergency rescue and making decisions process, accurate decisions can not be drawn by mathematics models with present information monitored by the KJ series monitoring systems such as KJ90, so experiences of former questions were urgently required to help as assistant decision-making. Accordingly, the construction of gas explosion intelligent decision support systems (IDSS) based on an artificial intelligence method CBA (case-based reasoning) was put forward. The paper instructed the working flow of CBR as well as main structure of gas explosion early warning intelligent decision support systems, and then it designed representation methods of gas explosion cases, arithmetic of cases retrieval and cases learning process. It had great significance of preventing gas explosion accidents in coalmines as well as providing intelligent decision-making support for emergency rescue.
Keywords
case-based reasoning; chemical hazards; coal; decision support systems; emergency services; explosions; industrial accidents; mining; artificial intelligence; case-based reasoning; coalmine; emergency rescue; gas accident; gas explosion; gas hazard; intelligent decision support system; safety; Accidents; Artificial intelligence; Decision making; Decision support systems; Explosions; Hazards; Intelligent systems; Monitoring; Product safety; Production; CBR; IDSS; early warning; gas explosion;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3330-8
Type
conf
DOI
10.1109/ICACC.2009.53
Filename
4777423
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