基于环套原理的ANN型矿井小构造预测方法与应用——以淄博岭子煤矿为例
|
摘要
应用"多重环套理论"和人工神经网络(ANN)技术,提出了预测预报矿井小构造的一套完整理论体系和工作方法。以淄博岭子煤矿为例,优选确定煤层倾角、厚度、瓦斯聚集量和涌水量变化是主要控制岭子煤矿回采工作面前方小构造的四大因子,建立了1号井的回采工作面前方小构造预测的非线性模型。现场检验结果表明,在煤层回采过程中,只要精细掌控主控因子的大量信息变化,就能准确预测预报工作面回采前方的小构造展布特征。基于环套原理的ANN型矿井小构造预测方法解决了诱发矿井重大灾害事故小构造的预测预报难题。
Based on loop overlapping theory and the artificial neural networks(ANN),a set of complete theory system and work method were put forward to forecast the size-limited structure.Took the Lingzi Coal Mine in Zibo for example,the four master factors,that is the coal seam dip angle,thickness,the gas accumulation quantity and the gushing water volume change,were selected.These factors control the size-limited structures of the front working face in Lingzi Coal Mine.Then,the nonlinearity model was established to predict the size-limited structures in the front coal mine working face in the first well.The field test result indicates that if the massive information of the master factors can be mastered in coal exploitation,the distributing feature of the size-limited structure can be predicted accurately in the front of face mining.The technique of ANN based on loop overlapping theory solves the difficult problem in predicting the size-limited structure which induces to great mine accident.
Based on loop overlapping theory and the artificial neural networks(ANN),a set of complete theory system and work method were put forward to forecast the size-limited structure.Took the Lingzi Coal Mine in Zibo for example,the four master factors,that is the coal seam dip angle,thickness,the gas accumulation quantity and the gushing water volume change,were selected.These factors control the size-limited structures of the front working face in Lingzi Coal Mine.Then,the nonlinearity model was established to predict the size-limited structures in the front coal mine working face in the first well.The field test result indicates that if the massive information of the master factors can be mastered in coal exploitation,the distributing feature of the size-limited structure can be predicted accurately in the front of face mining.The technique of ANN based on loop overlapping theory solves the difficult problem in predicting the size-limited structure which induces to great mine accident.
引文
[1]王桂梁,龙荣生,徐凤银,等.矿井构造预测[M].北京:煤炭工业出版社,1993.Wang Guiliang,Long Rongsheng,Xu Fengyin,et al.Prediction of thegeological structure in coal mine[M].Beijing:China Coal IndustryPublishing House,1993.
[2]武强,黄晓玲,董东林,等.GIS技术在预报煤层回采前方小构造的应用潜力[J].煤炭学报,1999,24(2):113-117.Wu Qiang,Huang Xiaoling,Dong Donglin,et al.Application analysisof geographic information systemon prediction of sizelimited structuresin the front of coal extraction[J].Jouranl of China Coal Society,1999,24(2):113-117.
[3]Wu Qiang,Ye Siyuan.The prediction of size-limited structures in acoal mine using artificial neural networks[J].International Journal ofRock Mechanics and Ming Sciences,2008,45(6):999-1 006.
[4]霍明远.地下水资源系统勘查技术与综合评价方法[M].北京:科学出版社,1993.Huo Mingyuan.The synthetic evaluation method and investigationtechniques of groundwater resources system[M].Beijing:SciencePress,1993.
[5]霍明远.环套理论在找水中的应用[J].自然资源,1997(2):46-50.Huo Mingyuan.On application of loop overlapping theory to water sur-vey[J].Natural Resource,1997(2):46-50.
[6]焦李成.神经网络系统理论[M].西安:西安电子科技大学出版社,1990.Jiao Licheng.Neural network theory[M].Xi’an:Electronic and Sci-ence University Press,1990.
[7]武强,俞佳,庞炜.基于ANN方法的煤巷掘进前方小构造预报技术[J].中国矿业大学学报,2007,36(4):447-452.Wu Qiang,Yu Jia,Pang Wei.Prediction of size-limited structures inthe front of coal tunneling based on ANN[J].Journal of China Uni-versity of Mining&Technology,2007,36(4):447-452.
[8]武强,金玉洁.华北型煤田矿井防治水决策系统[M].北京:煤炭工业出版社,1995.Wu Qiang,Jin Yujie.Decision making system on prevention and curecoal in North China[M].Beijing:China Coal Industry PublishingHouse,1995.
[9]武强,戴国锋,吕华,等.基于ANN与GIS耦合技术的地下水污染敏感性评价[J].中国矿业大学学报,2006,35(4):431-436.Wu Qiang,Dai Guofeng,LüHua,et al.Study of vulnerability evalua-tion to contamination of groundwater based on technique of ANN-GIS[J].Journal of China University of Mining&Technology,2006,35(4):431-436.
[10]武强,陈,董东林,等.基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例[J].地震地质,2002,24(2):249-257.Wu Qiang,Chen Peipei,Dong Donglin,et al.Hazard assessment sys-tem for ground fissure based on coupling of ANN and GIS:a casestudy of ground fissures in Yuci City,Shanxi Province[J].Seismolo-gy and Geology,2002,24(2):249-257.
[11]武强,解淑寒,裴振江,等.煤层底板突水评价的新型实用方法Ⅲ——基于GIS的ANN型脆弱性指数法应用[J].煤炭学报,2007,32(12):1 301-1 306.Wu Qiang,Xie Shuhan,Pei Zhenjiang,et al.Anewpractical method-ology of the coal floor water bursting evaluatingⅢ:the application ofANN vulnerable index method based on GIS[J].Journal of ChinaCoal Society,2007,32(12):1 301-1 306.
[2]武强,黄晓玲,董东林,等.GIS技术在预报煤层回采前方小构造的应用潜力[J].煤炭学报,1999,24(2):113-117.Wu Qiang,Huang Xiaoling,Dong Donglin,et al.Application analysisof geographic information systemon prediction of sizelimited structuresin the front of coal extraction[J].Jouranl of China Coal Society,1999,24(2):113-117.
[3]Wu Qiang,Ye Siyuan.The prediction of size-limited structures in acoal mine using artificial neural networks[J].International Journal ofRock Mechanics and Ming Sciences,2008,45(6):999-1 006.
[4]霍明远.地下水资源系统勘查技术与综合评价方法[M].北京:科学出版社,1993.Huo Mingyuan.The synthetic evaluation method and investigationtechniques of groundwater resources system[M].Beijing:SciencePress,1993.
[5]霍明远.环套理论在找水中的应用[J].自然资源,1997(2):46-50.Huo Mingyuan.On application of loop overlapping theory to water sur-vey[J].Natural Resource,1997(2):46-50.
[6]焦李成.神经网络系统理论[M].西安:西安电子科技大学出版社,1990.Jiao Licheng.Neural network theory[M].Xi’an:Electronic and Sci-ence University Press,1990.
[7]武强,俞佳,庞炜.基于ANN方法的煤巷掘进前方小构造预报技术[J].中国矿业大学学报,2007,36(4):447-452.Wu Qiang,Yu Jia,Pang Wei.Prediction of size-limited structures inthe front of coal tunneling based on ANN[J].Journal of China Uni-versity of Mining&Technology,2007,36(4):447-452.
[8]武强,金玉洁.华北型煤田矿井防治水决策系统[M].北京:煤炭工业出版社,1995.Wu Qiang,Jin Yujie.Decision making system on prevention and curecoal in North China[M].Beijing:China Coal Industry PublishingHouse,1995.
[9]武强,戴国锋,吕华,等.基于ANN与GIS耦合技术的地下水污染敏感性评价[J].中国矿业大学学报,2006,35(4):431-436.Wu Qiang,Dai Guofeng,LüHua,et al.Study of vulnerability evalua-tion to contamination of groundwater based on technique of ANN-GIS[J].Journal of China University of Mining&Technology,2006,35(4):431-436.
[10]武强,陈,董东林,等.基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例[J].地震地质,2002,24(2):249-257.Wu Qiang,Chen Peipei,Dong Donglin,et al.Hazard assessment sys-tem for ground fissure based on coupling of ANN and GIS:a casestudy of ground fissures in Yuci City,Shanxi Province[J].Seismolo-gy and Geology,2002,24(2):249-257.
[11]武强,解淑寒,裴振江,等.煤层底板突水评价的新型实用方法Ⅲ——基于GIS的ANN型脆弱性指数法应用[J].煤炭学报,2007,32(12):1 301-1 306.Wu Qiang,Xie Shuhan,Pei Zhenjiang,et al.Anewpractical method-ology of the coal floor water bursting evaluatingⅢ:the application ofANN vulnerable index method based on GIS[J].Journal of ChinaCoal Society,2007,32(12):1 301-1 306.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心