基于灰色线性回归组合理论的矿井瓦斯涌出量预测

为了减小瓦斯对矿井开采安全性的威胁，以铁法煤业集团晓南矿瓦斯地质为研究对象，利用灰色线性回归理论，根据矿井瓦斯监测数据，建立瓦斯涌出量的灰色线性回归组合模型，对晓南矿深部瓦斯涌出量进行预测。结果表明：灰色线性回归组合模型既改善了线性回归预测模型中不仅表达指数增长的缺陷，又弥补了灰色系统预测模型中不含线性因素的不足，在预测矿井深部瓦斯涌出量中取得了较好的效果。

Combination of Linear Regression Based on Gray Theory of Mine Gas Emission Prediction

In order to reduce the gas threat to the mining security, this paper adopts the gray linear regression theory with Tiefa Coal Industry Group Xiaonan Mine gas geological as the study subject. Based on mine gas monitoring data, it sets up the gray gas emission combination of linear regression model, and predict the depth of Xiaonan mine gas emission. The results show that gray linear regression model not only expresses the defects of index increasing in the linear regression prediction model, but also it makes up for the lack of non--linear factors in the gray system model. It achieves a good result for the prediction of the depth in mine gas emission.