Research On Surface Movement Deformation Of Mining Subsidence Area Based On Maximum Posterior Adaptive Extended Kalman Filter

Coal mining will cause surface movement and even surface collapse,which will bring harm to the ecological environment and human's normal life.Therefore,it is of certain practical significance to study the law of surface movement in coal mining projects.Hence,in the mining process,the true validity of monitoring data and the further prediction and analysis of data are very important.Aiming at the defects such as low precision and poor stability of KF(Kalman Filter)in the surface movement monitoring process,the KF is improved and the MPAEKF(Maximum A Posteriori Adaptive Extended Kalman Filter)is proposed.Shanxi yuecheng ? 1301 face data mining area based data mining subsidence is expected to study.Based on the above background,the main work and achievements of this paper are as follows:1.Aiming at the deficiency of KF and EKF(Extended Kalman Filtering)in nonlinear systems,the MPAEKF is proposed by using the maximum posterior estimation principle.The computational complexity of the KEF and the defect that the EKF depends on local nonlinearity are simplified by means of the great posterior and the self-adaptability,and the computational accuracy of the algorithm is improved and the defect that the filter depends on local nonlinearity is improved.2.The use of surface movement monitoring station of shanxi yuecheng mining ? 1301 working face of the measured data,the KF and EKF and MPAEKF and the measured data were analyzed and selected the optimal filter.From the comparative analysis results,it can be seen that the precision of MPAEKF is 80%,the precision of EKF is 50%,and the precision of standard kf is 30%.MPAEKF was used to predict the measured data.The results showed that the predicted value and the actual value were mostly within 10 mm,and the maximum difference was 25 mm.The filter had good stability and high accuracy.3.In view of the residual deformation after mining,this paper combined with the residual deformation prediction theory to conduct prediction analysis after mining and verify the feasibility of MPAEKF in residual deformation.The results show that the variation law of residual deformation predicted by filtering is consistent with that of surface movement deformation,and meets the requirements of the limit of subsidence velocity in the decline period.Moreover,by comparing the prediction effect with the prediction theory of residual deformation,it is found that 90% of the predicted value is within 1mm of the theoretical value,indicating that the MPAEKF can be applied to the prediction analysis of residual deformation in this region.