| 基于BP神经网络的降雨充水矿井涌水量预测 |
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| 引用本文： | 梁冰,李刚,王宗林.基于BP神经网络的降雨充水矿井涌水量预测[J].中国地质灾害与防治学报,2009,20(1):122-125. |
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| 作者姓名： | 梁冰 李刚 王宗林 |
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| 作者单位： | 1. 辽宁工程技术大学力学与工程学院,辽宁阜新,123000
2. 辽宁工程技术大学安全科学及工程学院,辽宁阜新,123000 |
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| 摘 要： | 长沟峪煤矿矿井涌水量受降雨影响显著，曾经因降雨造成淹井事故。文章分析了长沟峪煤矿矿井充水因素及其影响程度，建立了矿井涌水量预测的BP网络模型，通过对2006年和2007年＋141水平和＋20水平矿井最大涌水量预测验证了该模型的可行性，并据此对不同降雨条件下的矿井涌水量进行了预测。
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| 关 键 词： | BP神经网络 降雨入渗 矿井涌水量 预测模型 长沟峪煤矿 |
Prediction of water inflow of mine with rainfall yield based on BP artificial neural network |
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| LIANG Bing,LI Gang,Wang Zong-lin.Prediction of water inflow of mine with rainfall yield based on BP artificial neural network[J].The Chinese Journal of Geological Hazard and Control,2009,20(1):122-125. |
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| Authors: | LIANG Bing LI Gang Wang Zong-lin |
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| Institution: | LIANG Bing, LI Gang, Wang Zong-lin ( 1. College of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China; 2. College of security science and engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China) |
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| Abstract: | Water yield of coal mine was significantly influenced by rainfall in Chang-gou-yu Coal Mine, the accidents of flooding well had happened. In this paper, water filling factors of mine and it＇ s influence degree were analyzed and BP artificial neural network was used. The prediction model of mine inrush water in chang-gou-yu mine was also established. The model was verified by predicting the most water yield of ＋ 141 and ＋ 20 level roadway in 2006 and 2007 respectively, and water yield of mine in chang-gou-yu coal mine was predicted for different rainfall based on the model. |
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| Keywords: | BP artificial neural network rainfall infiltration mine water discharge prediction model Changgouyu Coal Mine |
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