An Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence by Using the Kalman Filter Method

The Knothe time function is a classical method in predicting the ground mining subsidence. Nevertheless, it does not take observation data into account prediction process. Kalman filter can solve this issue at large extent. Taking coal work face of Xishan Coalfield as an example, research compares performance traditional and that improved by using method. comparison results show through improvement method, RMSE from 133.4 mm to 78.3 mm; ME, 91.9 3.1 relative error, 8.1% 5.7%. Meanwhile, model has good astringency. These verify higher accuracy reliability. Hence, presents effective subsidence area improving