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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。
In order to reduce the threat of gas safety to mining, taking the gas geology of Xiaonan mine in Tiefa Coal Industry Group as the research object, a gray linear regression model of gas emission was established by using gray linear regression theory and mine gas monitoring data , Xiaonan mine deep gas emission forecast. The results show that the gray linear regression model can not only improve the shortcomings of the linear regression prediction model, but also make up for the lack of linear factors in the forecasting model of gray system. In the prediction of deep mine gas emission, Good results.