| 基于多元线性回归理论的煤矿瓦斯涌出量预测 |
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| 引用本文： | 解明垒,马尚权.基于多元线性回归理论的煤矿瓦斯涌出量预测[J].陕西煤炭,2021(1):26-29,52. |
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| 作者姓名： | 解明垒 马尚权 |
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| 作者单位： | 华北科技学院安全工程学院 |
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| 基金项目： | 中央高校基本科研业务费资助(3142019036)。 |
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| 摘 要： | 为有效地预测煤矿瓦斯涌出量,降低矿井生产中的危险,分析影响煤矿瓦斯涌出量的因素,基于多元线性回归理论,构建了煤矿瓦斯涌出量预测模型.选取煤层瓦斯含量、煤层埋深、煤层厚度、邻近层瓦斯量4个因素作为自变量,不考虑其它因素的影响,运用SPSS软件处理数据,得出瓦斯涌出量与其影响诸因素之间的线性回归方程.通过瓦斯涌出量模型的建...
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| 关 键 词： | 瓦斯涌出量 多元线性回归 瓦斯含量 煤层厚度 SPSS软件 |
Prediction of coal mine gas emission based on multiple linear regression theory |
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| Authors: | XIE Minglei MA Shangquan |
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| Affiliation: | (School of Safety Engineering,North China Institute of Science and Technology,Beijing 065201,China) |
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| Abstract: | In order to effectively predict coal mine gas emission and reduce the risk of mine production,the factors influencing the gas emission in coal mine are analyzed.Based on multiple linear regression theory,the prediction model of coal mine gas emission is constructed.By selecting the gas content,buried depth,thickness of coal seam and gas quantity of adjacent layers as independent variables,the linear regression equation between gas emission and its influencing factors(independent variables)is obtained by using SPSS software.The establishment and application of gas emission model show that this kind of linear regression equation can well predict gas emission,and provide theoretical support for gas control work,which has positive significance for improving the safety production situation of coal mines in China. |
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| Keywords: | gas emission multiple linear regression gas content coal seam thickness SPSS software |
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