论文部分内容阅读
研究Kalman滤波和自适应Kalman滤波算法,结合边坡监测点的运动模型将其应用于边坡变形监测动态数据变形预测。利用小湾水电站二号山梁高边坡GPS监测数据进行实验研究。结果表明,自适应Kalman滤波在边坡三维形变预测及变形速率估算方面有很好的预测结果。
The Kalman filter and adaptive Kalman filter algorithm are studied. Combined with the motion model of slope monitoring point, this algorithm is applied to predict the deformation of dynamic data of slope deformation monitoring. The experimental study is carried out by GPS monitoring data of the second slope of Xiaowan Hydropower Station. The results show that the adaptive Kalman filter has good prediction results in 3D deformation prediction and deformation rate estimation of slope.