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针对边坡变形的特点,将监测点位移速率看做一阶马尔科夫过程建立边坡运动方程。利用卡尔曼滤波方法对边坡上监测点进行变形分析,估计出各个监测点的状态参数,从而更全面地反映边坡的运动状态。结合小湾水电站2号山梁高边坡变形监测数据进行滤波处理,所得到的结果表明,经过卡尔曼滤波后位移量的估计精度有了明显的提高,能够准确地反映边坡监测点的位移变化情况。
According to the characteristics of slope deformation, the monitoring point displacement rate is regarded as the first-order Markov process to establish the slope motion equation. The Kalmen filter method is used to analyze the deformation of monitoring points on the slope, and the state parameters of each monitoring point are estimated to reflect the state of the slope more fully. Combined with the monitoring data of the high slope deformation of No. 2 mountain beam of Xiaowan Hydropower Station, the results show that the estimation accuracy of the displacement after Kalman filter has been significantly improved, which can accurately reflect the displacement change of slope monitoring points Happening.