Automatic grading picking and optimizing method of micro-seismic wave shape first arrival time

Abstract

The invention discloses an automatic grading picking and optimizing method of micro-seismic wave shape first arrival times. The method comprises four steps of noise reduction processing-arrival time rapid searching-arrival time accurate picking-arrival time judging and optimizing, specifically, the noise reduction processing is carried out on original signals by using a MATLAB build-in Butterworthband-pass 10-200 Hz filter; peak points in the signals are rapidly judged by using a peak judgmental method, then each 500 sampling point is pushed and moved to the left and right by using the peak points, then a first arrival time position is preliminarily established by using a STA / LTA method; first arrival time accurate picking selects two methods of AIC algorithm and MER algorithm, a first arrival time position of a micro-seismic wave shape is established; and a judging and optimizing process of an effective channel is summarized as three steps such as clustering analysis picking reference channel is carried out, time difference removing invalid channel is carried and envelope curve judging presenting error channel is carried out. The automatic grading picking and optimizing method ofthe micro-seismic wave shape first arrival time can rapidly and accurately pick the first arrival time of the micro-seismic signals, and can automatically judge and remove the channel with larger interference or error.

Description

technical field [0001] The invention relates to the field of structural applications, in particular to an automatic graded picking and optimization method for the first arrival of microseismic waveforms. Background technique [0002] Microseismic technology is an effective means of monitoring and early warning of deep mineral mining, rockburst induced by geotechnical engineering, and rockburst disasters. How to further improve the rapid and accurate analysis capabilities of microseismic technology, such as automatic positioning of microseismic and unattended rapid early warning, first needs It is an important prerequisite to solve the problem of accurate picking up of the first arrival of the microseismic signal. Fast and accurate automatic picking of first-arrival time is the key to realizing rapid processing of microseismic data and improving emergency response to disasters. [0003] Mining microseismic monitoring or geotechnical field microseismic monitoring is different...

AI Technical Summary

Problems solved by technology

However, microseismic data are more easily affected by the working environment. The signal components are complex, the frequency tends to be high frequency, and the amount of various types of data triggered is large. In addition, the on-site requirements for the timeliness and positioning accuracy of microseismic data processing make it difficult for on-site engineers to process and Analysis poses great difficulty

On the one hand, different from conventional mechanical vibration signals, there are many kinds of interference signals on the engineering site with different characteristics, not only the impact of on-site construction equipment, artificial interference, but also the transmission interference of the microseismic system itself. At the same time, the inhomogeneity of the propagation medium It will also bring interference. The existence of these background interferences makes the components of the microseismic signal complex, not single and periodic

The theoretical method can achieve better results in ideal signals or high signal-to-noise ratio signals, but it is difficult in low signal-to-noise ratio signals, and the recognition accuracy needs to be improved. For this reason, domestic and foreign experts have carried out a lot of research, such as figure 1 Shown is the comparative analysis of commonly used first-arrival time picking methods

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