Research On Surface Subsidence Deformation And Prediction Parameters Of Deep Mining In Heze

With the increasing depth of coal mining,coal mine in China has more than 1000 m mining depth of nearly 20,according to the traditional shallow mining probability integral deformation inaccurate depth mining,is expected to obtain the parameters after the problem is difficult to verify.Based on the random medium theory of mining subsidence and the method of modifying the probability integral parameter by means of the norm vector method,the paper analyzes the rule of surface movement in deep mining by Surfer software.Based on the observation data of the 1306 working face in Heze,and the surface movement parameters of each working surface in Yanzhou mining area,the regression equation of each parameter of deep mining is obtained through the calculation and analysis.Finally,by using the calculated parameters,the surface movement basin model of the 1306 working surface after fully mining is obtained.Through the comparative analysis before and after correction of probability integral parameter,compared with the traditional probability integral method to directly estimate the ground subsidence basin sink to improve the accuracy of more than 30%,to verify the correctness and feasibility of this method,for the deep mining of probability integral parameter selection to provide technical support,provide the technical basis for the deformation prediction of similar geological and mining conditions in mining area.