摘要
在某长江特大桥桥面挠度变形监测过程中,考虑引起桥梁挠度变化的相关因素,采用灰色关联分析确定其中较重要的影响因子后,在传统卡尔曼滤波模型基础上建立改化后的状态方程和观测方程,从而完成相关因素的预测预报工作。实际应用结果表明,基于灰色关联分析的卡尔曼滤波对桥梁挠度变化的预测结果比传统滤波模型更加接近最终实测值,具有更高的准确性与可信度。
In the deflection deformation monitoring process of a Yangtze River bridge,we considered some factors that may cause the changes in the deflection of the bridge and used the grey correlation analysis to determine the impact of the more important ones.When related factors were recognized,we established both reduced state and observation equations based on traditional Kalman Filtering Model and finally succeeded in forecasting the potential changes of some factors.The practical application results show that,K...
出处
《测绘工程》
CSCD
2010年第4期47-49,共3页
Engineering of Surveying and Mapping
关键词
灰色关联分析
卡尔曼滤波
预测预报
变形监测
gray connection analysis
Kalman Filter
forecast and prediction
deformation monitoring
