中文摘要：

基于在用小波方法去除监测数据噪声时对于小波基选取尚无理论依据的现状,以运营期南京地铁2号线某区间的轨行区连续监测数据为例,提出采用小波阈值去噪法对连续长期轨行区监测数据进行处理。结合小波基选取的一般原则,选取3种常用小波基系结合实例数据进行研究,分析小波基去噪后残差余量,并基于均方根误差和信噪比指标分析不同基函数的去噪效果。计算实例表明,选用sym4小波基函数进行去噪,可获得更小的均方根误差,从而提高监测数据的信噪比,值得在地铁及相关变形监测数据处理中推广。

英文摘要：

Concerning the situation that there is no theoretical basis for the selection of wavelet basis,the wavelet threshold denoising method is employed to deal with the data from continuous long track line with reference to a section of Nanjing No. 2 subway line. Combined with the general principles for the selection of wavelet basis,three kinds of common wavelet basis are selected and combined with case data to study the wavelet denoising residual error and analyze the denoising effect of different basis functions based on the root mean square error and signal-noise ratio. The calculation results show that,when the sym4 wavelet function is used to denoise,the smaller root mean square error can be obtained to improve the SNR of the monitoring data. This method sees wide application in processing subway deformation monitoring data.