随着我国煤炭资源逐渐转向深部开采的发展趋势,开采沉陷带来了深部岩体变形问题和地表沉陷预测等技术难题.为了能更好地预测地表沉陷与深部岩石力学性质变化的关系,采用Origin曲线拟合函数中的非线性最小平方拟合来获得预测函数概率积分法参数,然后利用拟合出来的参数去分析和探讨深部开采地表沉陷规律,同时回归分析了所选预测函数模型及其效果.%With the development trend of the gradual shift to the deep mining in China's coal resources, deep mining has brought the problem of the deep rock mechanics deformation and subsidence prediction. In order to better predict and analyse the relationship between surface subsidence and the deep changes in rock mechanics, by using the nonlinear least squares function of the Origin curve fitting, the paper obtains the expected function probability integration method parameters, and then utilizes the fitted parameters to analyze and discuss the law of surface subsidence of deep mining, at the same time analyses the model of selected predict function and its effect by regression.
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