卡尔曼滤波灰色模型在大坝变形预测中的应用

Application of Kalman Filtering Gray Model in Prediction of Dam Deformation

针对灰色模型在大坝变形预测中的不足,将灰色模型与卡尔曼滤波相结合应用于大坝变形预测中,即先使用卡尔曼滤波消除扰动误差,再进行灰色预测。实例应用表明,该组合模型比单纯灰色模型更适用于大坝的变形预测,可作为一种新的预测方法应用于大坝变形监测中。

Aiming at the deficiency of grey model in prediction of dam deformation, grey model with the combination of Kalman filtering is applied to forecast dam deformation. Namely, Kalman filtering is used to eliminate the disturbance error. And then grey model is used to predict deformation of dam. Example application shows that the combined model is more suitable for prediction of dam deformation than single grey model, which can be seen as a new prediction method of dam deformation monitoring.