基于小波分解的建筑物变形监测数据处理

PROCESSING OF MONITORING DATA OF BUILDING DEFORMATION BASED ON WAVELET TRANSFORM

基于小波分析理论,利用小波去噪技术,对一组建筑物变形监测数据进行了去噪处理。实际计算结果表明,小波去噪合理有效,能够敏感识别观测噪声和有用信息,不需要待检测信号的先验知识,特别适合于建筑物变形监测的数据处理。

Based on the theory of wavelet transform,a new method by using wavelet transform to eliminate the noise in observed data is introduced and a calculation example is also given. The results show that denoise using wavelet transform is efficient and reliable and is particularly suitable for processing monitoring data of building deformation due to its sensitivity to the noise of data and the ability to identify useful information. At the same time it is also indicated that the key problem of obtaining good analytical results is to choose a proper wavelet function,and the decision of denoise threshold is also very important. It is proved by the results that using db3 wavelet function and soft threshold in the denoising of monitoring data of building deformation is appropriate and wavelet transform provides a new and efficient method in this field. Some problems worth noticing in practical application are briefly explained.