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.

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