滑坡体在受到内部及外部相关因素作用后逐渐失稳,促使滑坡体发生变形。本文利用卡尔曼滤波对滑坡体上的监测点进行变形分析,估计出监测点的状态参数以全面地反映滑坡体的运动状态。普通卡尔曼滤波没有考虑其他控制因子的影响,如降水量、河流的水位等,但这些因素对某些滑坡的变形有时起了决定性作用。本文探讨了将降水因子作为卡尔曼滤波的控制输入及控制输入系数确定的方法,利用该方法可以初步判断出滑坡体对降水是否敏感。 Landslide body gradually becomes unstable after being affected by internal and external related factors, which causes the landslide body to deform. In this paper, the Kalman filter is used to analyze the deformation of the monitoring points on the landslide, and the state parameters of the monitoring points are estimated to fully reflect the movement of the landslide. Ordinary Kalman filter does not consider the influence of other control factors, such as precipitation, river water level, but these factors are sometimes played a decisive role in the deformation of some landslides. In this paper, the precipitation factor is considered as the control input and the control input coefficient of Kalman filter. The method can be used to determine whether the landslide is sensitive to precipitation.