基坑位移监测中带有未知参数的滤波算法

在基坑边坡的动态监测中,为了控制几何观测异常对形变参数估计的影响,把基坑边坡的力学信息看成是一个未知信息,建立了带有未知参数的滤波模型,并在固定的观测窗口中,把未知参数看成是一个不变的量,利用观测残差和状态预测残差来拟合它,并对滤波结果同时进行修正,得到了一个带有未知参数的滤波算法.实例说明,利用先验的几何、物理信息进行变形监测,能有效地提高状态参数估计可靠性.

Filtering Algorithm with Unknown Parameter for Excavation Deformation Monitoring

In order to control the influence on deformation parameter estimation in Excavation Deformation Monitoring when geometric observations are anomalous, mechanic information about excavation slope is considered to be unknown information, and a filtering model with unknown parameter is given. In the fixed observation window, unknown parameters do not change with time, which can be fitted with the prediction of observation residuals and residuals. At the same time, algorithm improves the reliability of the state estimations. In a real example, by using the prior geometry and physics of information to deformation monitoring, the given algorithm can significantly improve the reliability of state parameter estimation.