阅读说明：本技术 一种微震信号自动采集识别方法及系统 (Automatic microseismic signal acquisition and identification method and system ) 是由 鲜鹏辉 段天柱 邓春为 颜恭彬 张玉东 仇念广 闫国才 杨聘卿 黄波 潘磊 袁永 于 2021-08-31 设计创作，主要内容包括：本发明涉及煤矿安全生产技术领域,公开了一种微震信号自动采集识别方法及系统,包括信号处理模块,以及与信号处理模块分别连接的信号采集模块、信号分析模块和显示模块。信号采集模块,用来以固定频率连续采集各类震动信号并汇总,随后将采集到的震动信号发送给信号处理模块；信号处理模块用来对采集到的震动信号进行处理,并判断出最后有效的微震信号；信号分析模块,用来对微震信号进行后续深度分析处理,并形成分析结果；显示模块用来接收并显示分析结果。本方案具有精准区分干扰信号,识别判断出微震信号的有益效果。(The invention relates to the technical field of coal mine safety production, and discloses a method and a system for automatically acquiring and identifying microseismic signals. The signal acquisition module is used for continuously acquiring various vibration signals at a fixed frequency, collecting the vibration signals and then sending the acquired vibration signals to the signal processing module; the signal processing module is used for processing the acquired vibration signals and judging the final effective microseismic signals; the signal analysis module is used for carrying out subsequent deep analysis processing on the microseismic signal and forming an analysis result; the display module is used for receiving and displaying the analysis result. The scheme has the beneficial effects of accurately distinguishing the interference signals and identifying and judging the microseismic signals.)

1. An automatic microseismic signal acquisition and identification system is characterized in that: the device comprises a signal processing module, and a signal acquisition module, a signal analysis module and a display module which are respectively connected with the signal processing module;

the signal acquisition module is used for continuously acquiring various vibration signals at a fixed frequency, collecting the vibration signals to form acquired vibration signals, and then sending the acquired vibration signals to the signal processing module;

the signal processing module comprises a primary screening unit and a processing unit;

the preliminary screening unit is used for preliminarily screening and judging the received acquired vibration signals according to the prestored judging conditions, judging the acquired vibration signals to be microseismic signals if the judging conditions are met, and sending the microseismic signals to the processing unit; otherwise, judging the collected vibration signal as an interference signal;

the processing unit receives the microseismic signals, processes the microseismic signals according to preset processing steps to form effective microseismic signals, and then sends the effective microseismic signals to the signal analysis module;

the signal analysis module is used for receiving the effective microseismic signals and then carrying out subsequent deep analysis processing on the effective microseismic signals to form analysis results;

the display module is used for receiving and displaying the analysis result.

2. The automatic microseismic signal acquisition and identification system of claim 1 wherein: the pre-stored judgment condition is that the vibration frequency and the amplitude of the vibration signal are within a preset range.

3. The automatic microseismic signal acquisition and identification system of claim 1 wherein: the interference signals include mechanical shock signals, vehicle shock signals, and downhole blasting shock signals.

4. The automatic microseismic signal acquisition and identification system of claim 1 wherein: the preset processing step is to calculate the energy value carried by the current microseismic signal, compare the calculated energy value with a standard value, and store the corresponding vibration information of the current microseismic signal if the energy value is larger than or equal to the standard value.

5. The automatic microseismic signal acquisition and identification system of claim 2 wherein: the preset range is that the vibration frequency is within 2-3 Hz and the amplitude is within 1-5 mm.

6. The automatic microseismic signal acquisition and identification system of claim 4 wherein: the standard value is 100 joules.

7. The automatic microseismic signal acquisition and identification system of claim 1 wherein: the subsequent deep analysis processing comprises positioning analysis, statistics and intelligent learning; the positioning analysis is to analyze the specific position of the current microseismic signal; the statistics is that the energy and the frequency of all the stored microseismic signals are counted; the intelligent learning is to learn the characteristics of the current microseismic signal.

8. A microseismic signal automatic acquisition and identification method is characterized in that: the method comprises the following steps:

step S1, the signal acquisition module continuously acquires various vibration signals at a fixed frequency and collects the vibration signals to form acquired vibration signals, and then the acquired vibration signals are sent to the signal processing module;

step S2, the signal processing module receives the collected vibration signal, and the preliminary screening unit carries out preliminary screening judgment on the collected vibration signal according to the pre-stored judgment condition, if the vibration signal is judged to be a micro-vibration signal, the micro-vibration signal is sent to the processing unit;

step S3, the processing unit receives the microseismic signal and processes the microseismic signal according to the preset processing steps, if the energy value of the microseismic signal is more than or equal to the standard value, the microseismic signal is judged to be an effective microseismic signal, the vibration information of the effective microseismic signal is stored, and the effective microseismic signal is sent to the signal analysis module;

step S4, the signal analysis module receives the effective microseismic signal and carries out the subsequent deep analysis processing to the effective microseismic signal; firstly, analyzing the specific position information of the current effective microseismic signal; secondly, counting all the stored effective microseismic signal energy and microseismic frequency; finally, intelligent learning is carried out according to the characteristics of the effective microseismic signals, and the specific position information, the sum of energy and the signal frequency of the effective microseismic signals form analysis results and are sent to a display module;

in step S5, the display module receives the analysis result and displays the analysis result on the display screen.

9. The method for automatically acquiring and identifying microseismic signals of claim 8 wherein: the microseismic signal can utilize P wave to pick up the first arrival time to preliminarily judge the position of the microseismic signal source.

10. The method for automatically acquiring and identifying microseismic signals of claim 8 wherein: the signal frequency includes the vibration frequency of the microseismic signal itself and the frequency of occurrence of the microseismic signal.

Technical Field

The invention relates to the technical field of coal mine safety production, in particular to a method and a system for automatically acquiring and identifying microseismic signals.

Background

At present, various monitoring, early warning and evaluating technologies and methods for mines are still in exploration and research stages, and have large limitations and uncertainties, such as a 'key layer' theory, a transient electromagnetic method and the like. And the micro-seismic technology is not interfered by underground metal bodies, power supply, accumulated water and the like, so that the anti-interference performance and the accuracy of monitoring can be greatly improved.

In the prior art, there are a microseismic signal intelligent monitoring and identifying device and an identifying method, which comprise a microseismic signal acquisition part, a microseismic signal processing part and a microseismic signal early warning part which are connected in sequence, wherein the microseismic signal acquisition part is used for acquiring signals, the microseismic signal processing part is used for processing microseismic signals, and the microseismic signal early warning part identifies the signals processed by the microseismic signal processing part and warns the signals; this equipment belongs to full-automatic intelligent microseism monitoring identification classification equipment, compares with traditional manual identification, and this equipment classification result is more reliable, and the real-time is higher, the material resources of using manpower sparingly. The device identifies the rock cracking signal and the blasting signal, and can be better applied to actual engineering compared with all traditional microseismic signals for monitoring.

Although the scheme can intelligently identify and classify the microseismic signals, the identification and distinguishing effects of the scheme on other interference signals are not ideal enough, so that a technical means for distinguishing various interference signals and accurately identifying the microseismic signals needs to be researched.

Disclosure of Invention

The invention aims to provide a method and a system for automatically acquiring and identifying microseismic signals, which aim to solve the technical problem that the microseismic signals cannot be accurately identified due to excessive interference signals.

In order to achieve the purpose, the invention adopts the following technical scheme: an automatic microseismic signal acquisition and identification system comprises a signal processing module, a signal acquisition module, a signal analysis module and a display module, wherein the signal acquisition module, the signal analysis module and the display module are respectively connected with the signal processing module;

the signal acquisition module is used for continuously acquiring various vibration signals at a fixed frequency, collecting the vibration signals to form acquired vibration signals, and then sending the acquired vibration signals to the signal processing module;

the signal processing module comprises a primary screening unit and a processing unit;

the preliminary screening unit is used for preliminarily screening and judging the received acquired vibration signals according to the prestored judging conditions, judging the acquired vibration signals to be microseismic signals if the judging conditions are met, and sending the microseismic signals to the processing unit; otherwise, judging the collected vibration signal as an interference signal;

the processing unit is used for receiving the microseismic signals, processing the microseismic signals according to preset processing steps to form effective microseismic signals, and then sending the effective microseismic signals to the signal analysis module;

and the signal analysis module is used for receiving the effective microseismic signals and then carrying out subsequent deep analysis processing on the effective microseismic signals to form an analysis result.

The display module is used for receiving and displaying the analysis result.

The principle and the advantages of the scheme are as follows: in practical application, the preset vibration frequency range and amplitude range can be utilized to identify and distinguish microseismic signals and other interference signals, such as mechanical vibration, vehicle vibration and vibration generated by underground blasting, and the microseismic signals are accurately identified in a large quantity of vibration signals; and then analyzing and processing the acquired microseismic signals, calculating energy values of the microseismic signals, screening the microseismic signals through set energy standard values to obtain effective microseismic signals, calculating specific position information of the microseismic signals in a signal analysis module, counting the energy, vibration frequency and occurrence frequency of the microseismic signals, storing analysis and counting results in an identification system, displaying the statistical analysis results of the effective microseismic signals through a display module, and displaying the statistical analysis results to a worker more visually so that the worker can check effective microseismic conditions in time and take corresponding measures aiming at the effective microseismic signals, thereby ensuring the safety of mineral operation.

Preferably, as an improvement, the pre-stored determination condition is that the vibration frequency and the amplitude of the vibration signal are within a preset range.

The specific ranges of the vibration frequency and the amplitude are preset in the system to primarily screen and distinguish the microseismic signals and other interference signals, so that other interference signals are filtered, the follow-up analysis and identification work on the microseismic signals can be reduced, and the identification accuracy and the work efficiency of the system are improved.

Preferably, as an improvement, the disturbance signal includes a mechanical shock signal, a vehicle shock signal, and a downhole blasting shock signal.

Common vibrations to the mine daily work production, a large amount of mechanical vibrations can be produced to a large amount of mechanical work in the mine field, the vehicle also can produce vibrations when the operation, the exploitation of mine can carry out the operation of blasting in the pit simultaneously, can produce a large amount of vibrations equally, distinguish these a little vibrations signals and slight shock signals in the pit, can monitor slight shock signals in the pit effectively, thereby correctly assess the environmental security of mine, improve the security of mining work, guarantee staff's personal safety.

Preferably, as an improvement, the preset processing step includes calculating an energy value carried by the current microseismic signal, comparing the calculated energy value with a standard value, and storing the vibration information corresponding to the current microseismic signal if the energy value is greater than or equal to the standard value.

The microseism signals screened out preliminarily are further screened, energy carried by the microseism signals is screened, some carried energy is filtered out and is less, the microseism signals threatened to production safety are not generated, therefore, in the microseism signals screened out preliminarily, effective microseism signals which can cause influences to mineral operation safety can be accurately identified, and the accuracy and the efficiency of the system for identifying the microseism signals are improved.

Preferably, as a refinement, the predetermined range is a vibration frequency within 2-3 Hz and an amplitude within 1-5 mm.

Through the statistical analysis to common interference signal frequency and amplitude, with microseismic signal vibration frequency and amplitude setting in this scope, carry out preliminary screening discernment to a plurality of vibrations signals to reduce the subsequent system to the computational analysis volume of discerning the signal.

Preferably, as a modification, the standard value is 100 joules.

Calculate when the energy value that the microseism signal carried is 100 joules through the research, just can cause certain influence to mining production, if be less than this energy limit's microseism signal, the influence that causes production safety is very little, can directly ignore, carries out preliminary screening through the energy value that sets up, also can reduce system signal identification's work load for system identification efficiency.

Preferably, as an improvement, the subsequent deep analysis processing comprises positioning analysis, statistics and intelligent learning; the positioning analysis is to analyze the specific position of the current microseismic signal; the statistics is that the energy and the frequency of all the stored microseismic signals are counted; the intelligent learning is to learn the characteristics of the current microseismic signal.

For the microseismic signals meeting the acquisition requirements, the specific positions of the microseismic signals are analyzed, the energy, the frequency and the occurrence frequency of all the identified microseismic signals are counted, the characteristics of the microseismic signals are analyzed and learned, and the accuracy of the system for identifying the microseismic signals is improved.

The invention also provides a method for automatically acquiring and identifying microseismic signals, which comprises the following steps:

step S1, the signal acquisition module continuously acquires various vibration signals at a fixed frequency and collects the vibration signals to form acquired vibration signals, and then the acquired vibration signals are sent to the signal processing module;

step S2, the signal processing module receives the collected vibration signal, and the preliminary screening unit carries out preliminary screening judgment on the collected vibration signal according to the pre-stored judgment condition, if the vibration signal is judged to be a micro-vibration signal, the micro-vibration signal is sent to the processing unit;

step S3, the processing unit receives the micro-seismic signal and processes the micro-seismic signal according to the preset processing steps, if the energy value of the micro-seismic signal is larger than or equal to the standard value, the micro-seismic signal is judged to be an effective micro-seismic signal, the vibration information of the effective micro-seismic signal is stored, and the effective micro-seismic signal is sent to the signal analysis module;

step S4, the signal analysis module receives the effective microseismic signal and carries out the subsequent depth analysis processing to the effective microseismic signal; firstly, analyzing the specific position information of the current effective microseismic signal; secondly, counting all the stored effective microseismic signal energy and microseismic frequency; finally, intelligent learning is carried out according to the characteristics of the effective microseismic signals, and the specific position information, the sum of energy and the signal frequency of the effective microseismic signals form analysis results and are sent to a display module;

in step S5, the display module receives the analysis result and displays the analysis result on the display screen.

The method has the advantages that: the method has the advantages that all underground vibration signals are collected widely at first, the omission of key vibration signals is avoided, the collected vibration signals are distinguished by vibration frequency, vibration amplitude and carrying energy value, unnecessary interference signals and useless microseismic signals are filtered, the whole process is clear and strict in logic, the accuracy of final recognition results and analysis results is guaranteed, and the safety of daily production work of a mining area is guaranteed.

Preferably, as an improvement, the microseismic signal can use the P-wave pickup first arrival time to preliminarily determine the location of the microseismic signal source.

The rough position of the vibration signal is preliminarily judged through the P wave propagation speed and the detected pickup first arrival time, so that the microseismic signal is preliminarily judged, the system judgment process is accelerated, and the efficiency is improved.

Preferably, as an improvement, the signal frequency includes the vibration frequency of the microseismic signal itself and the occurrence frequency of the microseismic signal.

The vibration frequency of the microseismic signals and the frequency of the effective microseismic are counted, the rule and the characteristics of the effective microseismic signals can be explored through the statistical analysis principle, the prediction of the effective microseismic in the well is realized, and the personal safety of the working personnel in the well is ensured.

Drawings

Fig. 1 is a system diagram of a method and a system for automatically acquiring and identifying microseismic signals according to a first embodiment of the present invention.

Fig. 2 is a schematic flow chart of a method and a system for automatically acquiring and identifying microseismic signals according to a first embodiment of the present invention.

Fig. 3 is a P-wave diagram of a fifth embodiment of the method and system for automatically acquiring and identifying microseismic signals of the present invention.

Detailed Description

The following is further detailed by way of specific embodiments:

reference numerals in the drawings of the specification include: the device comprises a signal acquisition module 1, a signal processing module 2, a signal analysis module 3, a display module 4, a primary screening unit 5 and a processing unit 6.

The first embodiment is as follows:

this embodiment is substantially as shown in figure 1: an automatic microseismic signal acquisition and identification system comprises a signal processing module 2, and a signal acquisition module 1, a signal analysis module 3 and a display module 4 which are respectively connected with the signal processing module 2;

the signal acquisition module 1 is used for continuously acquiring various vibration signals at the sampling frequency of 1kHz, collecting the vibration signals to form acquired vibration signals, and then sending the acquired vibration signals to the signal processing module 2;

the signal processing module 2 comprises a primary screening unit 5 and a processing unit 6;

the preliminary screening unit 5 preliminarily screens and judges the received collected vibration signals according to the prestored judging conditions, and if the vibration frequency and the amplitude of the collected vibration signals are within 2-3 Hz and 1-5 mm, the collected vibration signals are judged to be microseismic signals and are sent to the processing unit 6; otherwise, judging the vibration signal as an interference signal;

the processing unit 6 receives the microseismic signal, processes the microseismic signal according to preset processing steps to form an effective microseismic signal, calculates an energy value carried by the current microseismic signal, compares the calculated energy value with a standard value of 100 joules, and judges that the microseismic signal is the effective microseismic signal and stores information of the effective microseismic signal, such as the frequency, the amplitude, the energy value and the like of the effective microseismic signal if the energy value carried by the current microseismic signal is more than or equal to 100 joules; then, the processed effective microseismic signals are sent to a signal analysis module 3; otherwise, ignoring the current microseismic signal;

the signal analysis module 3 receives the effective microseismic signals, then carries out subsequent deep analysis processing on the effective microseismic signals, including analyzing the specific positions of the current microseismic signals, counting the energy values of all the microseismic signals, the vibration frequency of the microseismic signals, the generation frequency of the microseismic signals and the characteristics of intelligently learning the current microseismic signals, and forming analysis results to be sent to the display module 4.

The display module 4 is used for receiving and displaying the analysis result.

An automatic microseismic signal acquisition and identification method is shown in figure 2 and comprises the following steps:

step S1, the signal acquisition module 1 continuously acquires various vibration signals at a fixed frequency and collects the vibration signals to form an acquired vibration signal, and then sends the acquired vibration signal to the signal processing module 2;

step S2, the signal processing module 2 receives the collected vibration signal, and the preliminary screening unit 5 performs preliminary screening judgment on the collected vibration signal according to the pre-stored judgment condition, if the vibration signal is judged to be a micro-vibration signal, the micro-vibration signal is sent to the processing unit 6, and if the vibration signal is judged to be an interference signal, the signal is ignored;

step S3, the processing unit 6 receives the microseismic signal, processes the microseismic signal according to the preset processing steps, if the energy value of the microseismic signal is greater than or equal to the standard value, determines the microseismic signal to be an effective microseismic signal, stores the vibration information of the effective microseismic signal, and sends the effective microseismic signal to the signal analysis module 3, otherwise ignores the microseismic signal;

step S4, the signal analysis module 3 receives the effective microseismic signal and performs subsequent depth analysis processing on the effective microseismic signal; firstly, analyzing the specific position information of the current effective microseismic signal; secondly, counting the energy values of all the stored effective microseismic signals, the self vibration frequency of the microseismic signals and the occurrence frequency of the microseismic signals; finally, intelligent learning is carried out according to the characteristics of the effective microseismic signals, and the specific position information, the sum of energy and the frequency of the effective microseismic signals are formed into an analysis result and sent to the display module 4;

in step S5, the display module 4 receives the analysis result and displays the analysis result on the display screen.

The method comprises the following steps of identifying and distinguishing microseismic signals and other interference signals by utilizing a preset vibration frequency range and an amplitude range, accurately identifying the microseismic signals in a large number of vibration signals, filtering the vibration signals fundamentally and reducing the subsequent identification workload; then analyzing and processing the acquired micro-seismic signals, and screening effective micro-seismic signals by calculating the energy value of the micro-seismic signals and comparing the energy value with a set energy standard value, further reducing the workload of the system by screening, and improving the identification efficiency of the system on the micro-seismic signals; the effective microseismic signals are calculated, analyzed and counted in the signal analysis module 3, the rule characteristics of the effective microseismic signals can be obtained, the statistical analysis results of the effective microseismic signals are displayed through the display screen and are displayed to workers more visually, so that the workers can check the effective microseismic conditions in time and take corresponding measures aiming at the effective microseismic signals, and the safety of mineral operation is improved.

The specific implementation process of this embodiment is as follows:

firstly, a signal acquisition module 1 continuously acquires data such as microseismic signals, mechanical vibration signals, vehicle vibration signals and underground blasting vibration signals from a detection instrument at a sampling frequency of 1kHz and collects the data to form acquired vibration signals, and then the acquired vibration signals are collected and sent to a signal processing module 2;

and secondly, the signal processing module 2 receives the collected vibration signal, the primary screening unit 5 performs primary screening judgment on the collected vibration signal, if the vibration frequency of the vibration signal is within 2-3 Hz and the amplitude is within 1-5 mm, the vibration signal is judged to be a micro-vibration signal, if the vibration frequency is not within the range, the vibration signal is judged to be an interference signal, and finally the judged micro-vibration signal is sent to the processing unit 6.

Thirdly, after receiving the microseismic signal, the processing unit 6 calculates an energy value carried by the current microseismic signal, then compares the calculated energy value with a standard value of 100 joules, judges the microseismic signal to be an effective microseismic signal if the energy value carried by the current microseismic signal is more than or equal to 100 joules, stores the information of the effective microseismic signal, and then sends the effective microseismic signal to the signal analysis module 3; if the current microseismic signal carries an energy value less than 100 joules, the microseismic signal is ignored.

Fourthly, the signal analysis module 3 receives the effective microseismic signal and carries out subsequent depth analysis on the effective microseismic signal, and specific position information of the current effective microseismic signal is analyzed by a set calculation method; secondly, counting the sum of the energy values of all effective microseismic signals, the vibration frequency of each effective microseismic signal and the occurrence frequency of the effective microseismic; and finally, intelligently learning according to the characteristics of the effective microseismic signals and analyzing the rule of the effective microseismic generation. The signal analysis module 3 summarizes all analyzed information to form an analysis result, and sends the analysis result to the display module 4.

And fifthly, the display module 4 receives the analysis result and displays the content of the analysis result on a display screen.

The scheme can radically distinguish microseismic signals and other interference signals, and the discharge of the interference signals in the prior art is not too strict, on one hand, because the equipment function is insufficient, and on the other hand, because the control cost is high. In the scheme, the discharge of other interference signals is completed only by technical improvement on the signal distinguishing and identifying method without the support of other hardware equipment, so that the method is convenient to operate and has no extra cost; meanwhile, in a specific distinguishing method, the scheme utilizes the frequency and amplitude of the vibration signal and the energy value carried by the vibration signal, compared with the identification technology in the prior art, the method is unexpected, meanwhile, the specific environment of the vibration signal can be combined, such as the complex environment under a coal mine, the vibration carried energy has disorder, and the utilization is very difficult, but the scheme can bring the energy into the specific vibration signal identification according to the characteristics of the energy, and selects an effective microseismic signal with the vibration frequency of 100 joules, the vibration frequency of 2-3 hertz and the amplitude of 1-5 millimeters according to the destructive effect of the energy on the coal mine, so that the microseismic signal in the range possibly damages the geological environment, thereby influencing the safety of the work under the coal mine. Through setting up the concrete numerical value of screening, can realize the accurate discernment screening to harmful microseismic signal, but make the microseismic signal of gathering have research utilization value to provide the basis that has reference value in the safety in production in colliery.

Example two:

this embodiment is basically the same as the first embodiment, except that: the sampling frequency for signal acquisition was set to 2 kHz.

The sampling frequency of the signal acquisition module 1 is increased, the sampling interval time is shorter, the more sample data can be acquired in unit time, the wider the acquisition range of the underground vibration signal is, the more vibration signal samples can be acquired by the system, and the more vibration signal analysis and identification can be realized.

The specific implementation process of this embodiment is basically the same as that of the first embodiment, except that:

firstly, a signal acquisition module 1 acquires data such as microseismic signals, mechanical vibration signals, vehicle vibration signals and vibration signals generated by underground blasting from a detection instrument at a sampling frequency of 2kHz, and then collects the vibration signals and sends the vibration signals to a signal processing module 2.

Aiming at the conditions of large quantity and complexity of underground vibration signals, the high-frequency sampling frequency is adopted, more vibration signals can be collected in unit time, a powerful basis is provided for identification of the underground vibration signals of the coal mine, and accurate identification of the micro-vibration signals is guaranteed.

Example three:

this embodiment is basically the same as the first embodiment, except that: the standard value for the effective microseismic signal carrying energy determination is set to 80 joules.

Considering the situation that energy loss exists in the process of transmitting the microseismic signals, the judgment standard is adjusted to 80 joules, so that the effective microseismic signals are prevented from being ignored by a system due to energy loss in the process of transmitting, data acquisition is incomplete, and the final judgment result is adversely affected.

The specific implementation process of this embodiment is basically the same as that of the first embodiment, except that:

thirdly, after receiving the microseismic signals, the processing unit 6 calculates the energy value carried by the current microseismic signals, then compares the calculated energy value with a standard value of 80 joules, and ignores the microseismic signals if the energy value carried by the current microseismic signals is less than 80 joules; if the energy value carried by the current microseismic signal is more than 80 joules, the microseismic signal is judged to be an effective microseismic signal, the information of the effective microseismic signal is stored, and then the effective microseismic signal is sent to the signal analysis module 3.

According to the law of conservation of energy, the vibration signal can exchange energy with a propagation medium in the propagation process, so that the micro-vibration energy from a vibration source to the detector is lost, the standard value of the carried energy is reduced to 80 joules, the identification of the effective micro-vibration signal can be more accurate, and a powerful basis is provided for inquiring the production of a coal mine.

Example four:

this embodiment is basically the same as the first embodiment, except that: and picking up the first arrival time of the microseismic signal by adopting a long-time and short-time averaging method.

The method is simple in calculation, short in time, and capable of rapidly judging the microseism initial motion signal according to the characteristic pickup initial motion of the long-time and short-time average ratio of the waveform characteristic function of the vibration signal and other characteristics, so that the judgment process is reduced, and the acquired microseism signal initial motion time is more accurate.

The specific implementation process of this embodiment is basically the same as that of the first embodiment, except that:

secondly, the signal processing module 2 receives the vibration signal, the preliminary screening unit 5 performs preliminary screening judgment on the vibration signal, if the vibration frequency of the vibration signal is within 2-3 Hz and the amplitude is within 1-5 mm, the vibration signal is judged to be a microseismic signal, if the vibration frequency of the vibration signal is not within the range, the vibration signal is judged to be an interference signal, and finally, a long-time and short-time averaging method is used for performing preliminary picking up on the judged microseismic signal and sending the microseismic signal to the processing unit 6.

Example five:

this embodiment is basically the same as the first embodiment, except that: as shown in fig. 3, when determining the location of the vibroseis source, the approximate location of the vibroseis source is preliminarily analyzed by using the first arrival time of P-wave pickup.

For the vibration signals, P waves and S waves are generated, the P waves are used for picking up the first arrival time, and the approximate position of a vibration signal source can be calculated by combining the propagation speed of the P waves, so that the collected vibration signals are distinguished, whether the vibration signals are microseismic signals or other interference signals is judged, namely, the microseismic signals are distinguished, the workload of system sampling and analysis calculation is reduced, and the efficiency of effective microseismic signal identification is improved.

The specific implementation process of this embodiment is basically the same as that of the first embodiment, except that:

secondly, the signal processing module 2 receives the vibration signal, the primary screening unit 5 carries out primary screening judgment on the vibration signal, if the vibration frequency of the vibration signal is within 2-3 Hz and the amplitude is within 1-5 mm, the vibration signal is judged to be a micro vibration signal, and if the vibration frequency is not within the range, the vibration signal is judged to be an interference signal; meanwhile, the microseismic signal P wave is used for picking up the first arrival time, the approximate position coordinate of the microseismic signal source is analyzed and calculated, and finally the data of the frequency, the amplitude, the approximate position coordinate and the like of the microseismic signal are sent to the processing unit 6.

The foregoing is merely an example of the present invention and common general knowledge in the art of designing and/or characterizing particular aspects and/or features is not described in any greater detail herein. It should be noted that, for those skilled in the art, without departing from the technical solution of the present invention, several variations and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.