基于灰色-神经网络的新安煤田煤与瓦斯突出强度预测
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摘要
通过新安煤田二1煤层煤与瓦斯突出强度进行灰关联分析,确定了影响突出强度优势因素,利用改进的BP算法对新安煤田突出强度进行了预测,结果表明:煤层顶板砂岩厚度是影响煤田突出强度的最主要因素,煤厚、瓦斯压力次之;大型突出主要集中在顶板砂岩厚度大、瓦斯压力高的新安矿西南部小断层密集区、新义矿中部断层密集区、义安矿中部F29断层及其伴生断层附近区域等区域。
Through the grey relevance analysis of the intensity of coal and gas outburst in Xin'an Coal Field,we determined the outburst factors of intensity of coal and gas outburst. Improved BP algorithm was used to predict the intensity of coal and gas outburst of Xi'an Coal Field. The results show that the thickness of the roof of sandstone is the main influence factors of coal outburst intensity and then there are the coal thickness and gas pressure,large- scale outbursts are mainly in the place where the thickness sandstone roof is heavy and the gas pressure is greater,such as in the southwest of Xin'an Mine and in the middle of Xinyi Mine where the faults are intensive,also on the surrounding of F29 fault in the middle of Yi'an Mine,the intensity of coal and gas outburst is higher.
Through the grey relevance analysis of the intensity of coal and gas outburst in Xin'an Coal Field,we determined the outburst factors of intensity of coal and gas outburst. Improved BP algorithm was used to predict the intensity of coal and gas outburst of Xi'an Coal Field. The results show that the thickness of the roof of sandstone is the main influence factors of coal outburst intensity and then there are the coal thickness and gas pressure,large- scale outbursts are mainly in the place where the thickness sandstone roof is heavy and the gas pressure is greater,such as in the southwest of Xin'an Mine and in the middle of Xinyi Mine where the faults are intensive,also on the surrounding of F29 fault in the middle of Yi'an Mine,the intensity of coal and gas outburst is higher.
引文
[1]田云丽,周利华.基于BP神经网络的煤与瓦斯突出预测方法的研究[J].系统工程理论与实践,2005(12):102-106.
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[5]宁齐元,刘祖德,游曦鸣,等.基于BP神经网络煤与瓦斯突出强度预测模型[J].煤矿开采,2011(12):19.
[6]郭德勇,李念友,裴大文,等.煤与瓦斯突出预测灰色理论-神经网络方法[J].北京科技大学学报,2007(4):354-357.
[7]伍爱友,肖红飞,王从陆,等.煤与瓦斯突出控制因素加权灰色关联模型的建立与应用[J].煤炭学报,2005,30(1):58-62.
[8]刘思峰,谢乃明.灰色系统理论及其应用[M].北京:科学出版社,2013.
[2]曲方,张龙,李迎业,等.基于BP神经网络的煤与瓦斯突出预测系统开发[J].中国安全科学学报,2012,22(1):11-16.
[3]董长虹.Matlab神经网络与应用[M].北京:国防工业出版社,2005.
[4]郝吉生,袁崇孚.模糊神经网络技术在煤与瓦斯突出预测中的应用[J].煤炭学报,1999,24(6):624-627.
[5]宁齐元,刘祖德,游曦鸣,等.基于BP神经网络煤与瓦斯突出强度预测模型[J].煤矿开采,2011(12):19.
[6]郭德勇,李念友,裴大文,等.煤与瓦斯突出预测灰色理论-神经网络方法[J].北京科技大学学报,2007(4):354-357.
[7]伍爱友,肖红飞,王从陆,等.煤与瓦斯突出控制因素加权灰色关联模型的建立与应用[J].煤炭学报,2005,30(1):58-62.
[8]刘思峰,谢乃明.灰色系统理论及其应用[M].北京:科学出版社,2013.