DocumentCode :
525343
Title :
Gas disaster decision-level information fusion method based on fuzzy logic
Author :
Li Lei-jun ; Peng Hong
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing, China
Volume :
3
fYear :
2010
fDate :
25-27 June 2010
Abstract :
There are a variety of coal mine accidents in our country, it takes great loss to our people´s lives and property resulting. In particular, the most serious is gas explosion accident. So in recent years, gas warning systems research has been extensive development. Through data fusion to obtain accurate gas state information, for the analysis of trends in mine gas and timely provide the basis for determining control strategies,it become more and more important and it is studied by many people. This paper presents a decision-level information fusion method about gas disaster based on fuzzy logic, and discussed in detail the decision-level information fusion is very important in the gas feature extraction, then this paper presents a fuzzy logic decision-making level information fusion method, and is discussed and proved in detail.
Keywords :
alarm systems; coal; decision making; disasters; fuzzy set theory; industrial accidents; mining industry; sensor fusion; coal mine accidents; data fusion; decision-making level information fusion method; fuzzy logic; gas disaster decision-level information fusion method; gas explosion accident; gas feature extraction; gas warning systems; Accidents; Alarm systems; Cities and towns; Decision making; Explosions; Feature extraction; Fuzzy logic; Information analysis; Mechanical factors; Sensor fusion; fuzzy integral; fuzzy logic; gas disaster; information fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5541236
Filename :
5541236
Link To Document :
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