自适应Kalman滤波在地表沉降动态预报中的应用

Application of Self-adaptive Kalman Filtering in Surface Subsidence Dynamic Forecast

开采沉陷是煤层采出后引起的一个时间和空间过程。随着工作面的推进,不同时间的回采工作面与地表点的相对位置不同,开采对地表点的影响也不同。本文以运用自适应Kalman理论为基础,对矿区地表观沉降进行动态预报,取得较好的成果。

Mining subsidence is a time and space process after coal recovery. With working face advancing, the relative position of different times of working face and the surface are different, and the influence on the surface point are also different. In this paper, on the basis of using adaptive Kalman theory, dynamic prediction of mining area is carried out, The good results have been achieved.