自适应卡尔曼滤波在建筑物变形监测中的应用

The Applications of Adaptive Kalman Filtering in Building Deformation Monitoring

卡尔曼滤波由于能够实时快速地处理大量的变形数据,并能够预测下一时刻的变化状态等特点,被广泛应用于多个领域的动态数据处理。本文论述了方差补偿自适应卡尔曼滤波模型,将自适应卡尔曼滤波模型应用到光纤光栅动态变形监测上,基于MATLAB编程实现模型的建立并运用该模型对建筑物变形进行分析与预测,取得了较好的效果,证实了方差补偿自适应卡尔曼滤波在滤波和预测方面的可行性。

Kalman filtering has been widely used in dynamic data processing in many domains because of its ability to deal with large deformation data and predict the changing status of the next moment.In this paper,an adaptive Kalman filtering based on variance compensation is discussed.It uses Adaptive Kalman filtering to the dynamic deformation monitoring of fiber grating.This paper uses MATLAB programming to establish models to analyze and predict the building deformation,which achieves better results.It proves the feasibility of the adaptive Kalman filtering for the filtering and forecasting.