煤矿井下自燃火灾的图像识别及综合判据系统

煤矿自燃火灾的早期探测及预报是保证煤炭生产安全的有效手段。目前已有的各种预测预报技术,虽对煤炭自燃火灾的防治起到一定的作用,但对于不同煤质和不同地质赋存情况下的煤矿,单一探测方法的预测精度有限,在探测的准确性和有效性方面尚不能完全满足各种类型煤矿安全生产的需要。为了提高煤炭自燃灾害早期探测的可靠性,笔者提出一种以图像识别技术为基础的煤炭自燃发火探测方法,并进一步利用信息融合技术结合其他探测方法建立一套煤矿自燃发火综合判据系统,该系统有助于提高煤炭自燃预测的准确性,对煤矿的安全生产能发挥重要作用。

Image Recognition of Coal Mine Spontaneous Combustion and Synthetic Criterion

The accurate detection of spontaneous combustion is an urgent mission of coalmine safety in production. Though the existing detection methods have their respective functions, however, they have insufficiencies and cannot satisfy various requirements of different coalmines. A new detection method based on image recognition with a system of synthetic criterion is presented, in which information fusion is applied to enhance the validity and reliability of coalmine spontaneous combustion detection.