Research On Recognition Of Seismic Advance Detection Signal In Roadway Based On Random Source

Earthquake advance detection of Roadway Based on random seismic source can provide a new method for geological structure advance detection of mine heading face.This method has more advantages than conventional seismic source in terms of detection accuracy,safety and timeliness.It can realize real-time synchronous exploration in the process of excavation,and improve work efficiency and detection resolution.However,this method is still in the preliminary exploratory stage and lacks a lot of basic research.Among them,the key is to identify and extract the effective signal of random source.In this paper,based on the random source condition,combined with numerical simulation,experimental analysis and field test application,the necessary basic research on the identification of effective signal in advance seismic detection of random source roadway has been carried out.Firstly,the Rake wavelet is used to simulate two seismic signals with Gauss white noise,and the cross-correlation processing is carried out to verify the effectiveness of cross-correlation technology in extracting effective signals from random sources.Then frequency filtering is applied to the noise which can not be suppressed by cross-correlation,and the resolution is improved.It is concluded that frequency filtering technology can be applied to the identification of effective signal of random source.Because of the complexity of random seismic wave field and low signal-to-noise ratio,the effect of cross-correlation method applied alone is not ideal.Then,based on rammed random source data,cross-correlation technology as the core,combined with spectrum analysis,deconvolution and frequency filtering technology,this paper synthetically applied to identify the effective signal of random source,and compared it with the active source signal collected under the same arrangement.It is concluded that cross-correlation,deconvolution,frequency filtering and other methods are effective and feasible for effective signal recognition of random source.Combined application of multiple methods can successfully identify effective signal from strong noise background,which is consistent with active source signal record and has good extraction effect.It can provide a feasible method for effective signal extraction of seismic advance detection of random source roadway.Finally,the paper analyses the applicability of effective signal recognition method in random data processing of actual mining in heading face,and carries out numerical simulation of seismic advance detection of Roadway Based on actual geological data,which verifies the validity of the processed signal.It is concluded that the actual random seismic data collected by Roadway after systematic processing have high signal-to-noise ratio,clear direct wave and reflected wave,good in-phase continuity,which is consistent with the numerical simulation results.The validity of the effective signal recognition method is verified,and it can meet the needs of field detection and analysis.However,due to the limitation of research time and underground test conditions,there are still some shortcomings in this study,among which the best observation system of random source roadway seismic advance detection method and post-processing mapping still need to be further explored and studied.Figure 52 Table 6 Reference 103...