A processing method for mining microseismic monitoring signal

Abstract

The invention discloses a method for processing mine-used microseismic monitoring signals. Firstly, an original signal collected on site is received from a microseismic monitoring data acquisition system, and an energy distribution diagram of the original signal in a time-frequency two-dimensional space is drawn by a signal dimension raising method. , to obtain a clear time-frequency-energy spectrum; based on the time-frequency-energy spectrum, use an unsupervised clustering algorithm to search and extract the frequency band and time period where the effective vibration signal is located; based on the time-frequency-energy spectrum and extract The frequency band and time period where the effective vibration signal is located, establish a filtering threshold based on the global noise energy, and k filtering thresholds based on the effective vibration signal frequency band noise energy; then complete the signal filtering process from the time domain, and obtain the effective Shake signal. The above method can analyze and obtain the time period in which the effective signal actually occurs, and can process the noise before and after the signal generation more precisely according to the time period, so as to improve the overall signal-to-noise ratio of the signal.

Description

technical field [0001] The invention relates to the technical field of mine microseismic monitoring, in particular to a method for processing mine microseismic monitoring signals. Background technique [0002] In mining, artificial excavation, blasting and mechanical vibration of vehicles will destroy the original stress balance state in the mine body, lead to deformation, movement and destruction of surrounding rock, cause rock formation collapse, and seriously threaten the safety of mine workers. Therefore, ground pressure monitoring plays an extremely important role in deep mining. The entire process of deformation and failure of mine rock mass is almost accompanied by the generation, expansion, and friction of cracks. Small vibrations, that is, microseismic events, microseismic monitoring is an important monitoring method in ground pressure monitoring. It monitors the vibration of objects to obtain the time, location and magnitude of microseismic events, so as to judge t...

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Problems solved by technology

However, the above-mentioned filter method is very effective for suppressing noise with a frequency domain different from that of the microseismic signal, but the noise in the similar frequency domain will still cause greater interference, making the quality of the microseismic signal low; and this type of filtering cannot automatically search for the location where the effective signal is located. The actual frequency range requires human participation in the specified frequency band for filtering, so the noise in different frequency bands is not completely filtered; and it is also impossible to effectively analyze the actual occurrence time of the effective vibration signal, and it is difficult to eliminate noises with similar frequencies but different occurrence times, so The obtained filtered signal is still doped with many complex unknown noises

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