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Mine micro-quake signal P wave first arrival moment joint pickup method

A signal and micro-vibration technology, applied in the field of signal processing, can solve the problems of pure noise signal pickup instability, low signal-to-noise ratio, spikes, etc.

Active Publication Date: 2015-09-16
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The PAI-S / K and AIC methods use the most value picking, which overcomes the threshold method's susceptibility to noise interference, but the single PAI-S / K and AIC method has the disadvantages of low signal-to-noise ratio, spikes, tail oscillations and pure noise. The problem of unstable signal pickup
[0004] It can be seen that the existing methods for picking the P wave first arrival point of mine microseismic signals have great limitations, and it is necessary to study an automatic picking method with high picking accuracy and good stability

Method used

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  • Mine micro-quake signal P wave first arrival moment joint pickup method
  • Mine micro-quake signal P wave first arrival moment joint pickup method
  • Mine micro-quake signal P wave first arrival moment joint pickup method

Examples

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Effect test

Embodiment 1

[0051] Such as Figure 2-6 Shown are the PAI-K_AIC pick-up diagrams of the normal signal, the spike signal, the tail oscillation signal, the low signal-to-noise ratio signal and the noise signal respectively, and the results are summarized in Table 1 below. It can be seen from Table 1 that PAI-K_AIC has high accuracy for conventional signal pickup, and effectively solves the influence of low signal-to-noise ratio, spikes, tail oscillations and pure noise signals on the stability of single PAI-K and AIC pickup results.

[0052] Table 1 PAI-K_AIC joint picking result table

[0053]

[0054] Note: 1. Microseismic serial numbers 1 to 5 correspond to normal signal, spike signal, tail shock signal, low signal-to-noise ratio signal and noise signal respectively;

[0055] 2. In the table, false means picking up wrongly, reject means discarding the microseismic signal, and manual means picking up manually.

Embodiment 2

[0057] Figure 7 It is the PAI-K and AIC pickup error map. The 200 sets of microseismic signals in the picture are randomly extracted by the IMS microseismic system in the Shaba mining area of ​​Kaiyang Phosphate Mine, and the sensor sampling frequency is 6000Hz. It is known from the figure that PAI-K and AIC have high picking accuracy, but the picking stability is poor, and when the picking errors of PAI-K and AIC are both large, the difference between the two picking results is large, and this method discards |k 1 -k 2 |>100 events, otherwise k=k when P wave arrives 2 .

[0058] Figure 8 It is the PAI-K_AIC pick-up error graph. It is known from the figure that the joint pick-up error is controlled at 70 sampling points (0.0116s), and most of the errors are within 40 sampling points (0.0066s). The PAI-K_AIC pick-up accuracy is high, greatly Reduced false pickup rate and enhanced P-wave pickup stability.

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Abstract

The invention discloses a mine micro-quake signal P wave first arrival moment joint pickup method and mainly solves the technical problems that a single PAI-K and AIC method is high in pickup precision but is unstable in pickup of low signal to noise ratio, spike, tail shock and pure noise signals. The method comprises the following steps: extracting mine micro-quake signal waveform data; carrying out maximum kurtosis value arrival time (K1) pickup; carrying out minimum self-correlation value arrival time (K2) pickup; and judging whether | k1-k2 | is larger than a threshold value L, if so, abandoning the micro-quake signals, or otherwise, outputting P wave arrival time k=k2. Through PAI-K_AIC joint identification, interference of low signal to noise ratio, spike, tail shock and pure noise signals is effectively eliminated, mistake pickup rate is greatly reduced, and P wave pickup stability is enhanced. The method has the advantages of simple processing, high applicability and high accuracy and the like.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for jointly picking up the first arrival time of P waves of mine microseismic signals. Background technique [0002] With the development and utilization of deep mineral resources, mine rockburst accidents have increased dramatically, and effective prediction of rockburst disasters has become an urgent research topic. Predicting rockburst disasters can provide a reliable guarantee for mine safety. The microseismic monitoring developed in recent years is one of the main technologies for early warning of rockburst disasters, and many microseismic monitoring systems have been established at home and abroad. The microseismic monitoring system mainly includes network layout, waveform identification, seismic phase picking, source location, focal mechanism interpretation and mine microseismic activity prediction, etc., among which seismic phase picking is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30G01V1/36
Inventor 李夕兵尚雪义董陇军王泽伟马举
Owner CENT SOUTH UNIV
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