Abstract：Wavelet transform is attempted to be applied to safety monitoring. The method eliminates modular maximum caused by the noise，reserves the modular maximum caused by the useful signal using wavelet transform based on the different propagation characteristics of the signal and noise on the different scales，reconstructs wavelet coefficient using maximum residual modular and recoveries the primary monitoring signal. The denoising method of wavelet transform modular maximum and wavelet threshold are applied to two actual cases，simulating noise signal noissin and safety monitoring data of the high rock slope of Jinping First Stage Hydropower Station. By the comparison of the three performance indexes，the signal-to-noise ratio，energy ratio of the denoising signal and standard deviation of the denoising signal to the original signal，the studies reveal that the former method is better and can effectively remove noise mutational signal and reserve useful mutational signal. It shows that the former method can be well applied to the safety monitoring data processing in geotechnical engineering.
