基于小波分解的建筑物变形监测数据处理.pdf

第23 卷 第15 期 岩石力学与工程学报 23(15) ：2639～2642 2004 年8 月 Chinese Journal of Rock Mechanics and Engineering Aug .，2004 基于小波分解的建筑物变形监测数据处理 田胜利 周拥军 葛修润 卢允德 (上海交通大学建筑工程与力学学院 上海 200240) 摘要 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。 关键词 土木工程，小波分解，变形监测，去噪，Mallat 算法 分类号 TU 459+ .9 文献标识码 A 文章编号 1000-6915(2004)15-2639-04 PROCESSING OF MONITORING DATA OF BUILDING DEFORMATION BASED ON WAVELET TRANSFORM Tian Shengli，Zhou Rongjun ，Ge Xiurun，Lu Yunde (School of Civil Engineering and Mechanics ，Shanghai Jiaotong University ，Shanghai 200240 China) Abstract 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. Key words civil engineering ，wavelet transform ，deformation monitoring，noise reduction ，Mallat algorithm 傅立叶变换主要对长期持续的周期性信号有效。由 1 前 言