基于KF-EMD的大型桥梁施工挂篮变形 监测技术

Deformation monitoring technology of large bridge construction hanging basket based on KF-EMD

利用全球导航卫星系统(GNSS)对桥梁施工过程中挂篮进行变形监测,得到动态变形序列,为了更加准确地提取变形信息的特征,本文提出了卡尔曼滤波(KF)-经验模态分解(EMD)模型来提取变形中的真实位移,并通过频谱分析,获取挂篮自振频率。通过对实际案例的分析,利用相关系数、信噪比、均方误差等评价参数与EMD方法进行比较。结果得出:KF-EMD模型的效果优于EMD的效果,应用KF-EMD方法能够对挂篮变形信息有效地提取并去除高频噪声,是一种比较高效的方法。

Global navigation satellite system(GNSS)is applied to monitor the deformation of hanging basket in the process of bridge construction,and dynamic deformation sequence is obtained.In order to extract the characteristics of deformation information more accurately,the Kalman filtering(KF)-empirical mode decomposition(EMD)model was proposed in this paper.The model was applied to extract the real displacement in deformation,and the natural vibration frequency of hanging basket was obtained through spectrum analysis.Through the analysis of the actual case,the correlation coefficient,signal-to-noise ratio,mean square error and other evaluation parameters were compared with the EMD method.The results showed that the effect of KF-EMD model was better than that of EMD,and the application of KF-EMD method could effectively extract and remove the high frequency noise of the hanging basket deformation information,which was a relatively efficient method.