基于可拓模式识别的煤与瓦斯突出危险性分析

为了有效识别煤与瓦斯突出的危险性,运用可拓理论和熵理论建立了基于熵权的可拓模式识别模型。熵权和关联函数的建立避免了权系数和综合隶属度确定的主观性。利用该模型对某能源有限公司3个工作面的突出危险性进行识别分析,不仅得出了各工作面的突出危险性程度,还得出了各工作面突出危险性大小的排序。结果表明,基于可拓模式识别的方法既可以确定单一对象的隶属模式,又可以对多个识别对象进行排序,而且识别过程宜于编制计算机程序求解,计算简单,易于在现场推广应用。

Risk analysis of coal and gas outburst based on extensible pattern recognition

In order to effectively identify the risk of coal and gas outburst,an extensible pattern recognition model based on extensible theory and entropy theory was studied.Entropy weight is a kind of objective weights which only depends on the original data from the identified objects.It has no not relationship with the evaluators.Therefore,the subjectivity in ascertaining weights can be avoided.Meanwhile,correlative function which is only related to the distanlogce between identified object and classic fields was built in extensible pattern recognition model.Therefore,the subjectivity in ascertaining correlative degree and comprehensive degree of membership can be avoided as well.As a result,the identification procedures were found to be more objective than other models.Coal and gas outburst risks of three mining faces in Some Energy Co.Ltd were analyzed with the extensible pattern recognition.Outburst risk of every mining face was ascertained.In addition,the preference order of outburst risks among three mining faces was obtained and the existing problems in different mining faces were identified.Emphases on prevention measures of coal and gas outbursts were discussed as well.The corresponding countermeasures to protect mining faces from coal and gas outburst were suggested.The identification results indicate that the extensible pattern recognition can be used not only in single object but also multi-objects.The studied methodology is worthy for popularization in various applications because it can be programmed easily by computer.