Study on Wavelet Denoising Method of Rock Microcrack Signal
[Purposes]During the excavation process of tunnels,the construction environment is relatively complex,and the microcrack signals received by microseismic monitoring equipment contain a certain amount of noise.The presence of noise has a certain impact on the localization of events and the judg-ment of rock mass instability information.In order to accurately locate the location of the microcrack in-side rocks and calculate other parameters more accurately,it is necessary to first perform noise reduction processing on the monitored signals.[Methods]This article selects four typical waveforms on site,and uses the wavelet analysis method's db wavelet basis function and sym wavelet basis function to denoise them,obtaining the signal-to-noise ratio.[Findings]By comparing the signal-to-noise ratio and wave-form analysis,it was found that the db10 wavelet function has a good denoising effect,with a signal-to-noise ratio of 73.849 1.Moreover,after signal denoising,the effective information of the original signal will not be lost.[Conclusions]The db10 wavelet function denoising method is the best wavelet denoising method for rock microcrack signals in deep buried tunnels.This research work is of great significance for accurately determining other parameters of the seismic source,improving the accuracy of rock mass in-stability prediction,and is also an important foundation for establishing an intelligent warning system.
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维普
