A coal mine monitoring method and monitoring system

Abstract

The present application relates to a coal mine monitoring method and a monitoring system, the method comprising obtaining environmental noise from a first monitoring position in a working area; obtaining environmental noise from a second monitoring position in the monitoring area; transferring the environmental noise in the working area into the frequency domain for analysis to obtain a first sound sample; transferring the environmental noise in the monitoring area into the frequency domain for analysis to obtain a second sound sample; screening the second sound sample according to the first sound sample to obtain a second sound screening sample; comparing the obtained second sound screening samples and determining the sound emission position according to the comparison result to obtain the monitoring position and determining the change of the monitoring position according to the second sound screening samples obtained in the time series. The coal mine monitoring method and the monitoring system disclosed in the present application determine the probability of gas occurrence by discovering the internal gaps of the coal body and analyzing the evolution of the gaps, and improve the accuracy of prediction and early warning, while realizing the pre-positioning of prediction and early warning to a certain extent.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a coal mine monitoring method and a monitoring system. Background Art

[0002] Coal and gas outburst is one of the major disasters that restrict coal mine safety production. The coal seam environment in my country is complex and changeable, and with the increase of coal seam depth, the difficulty of prediction, escape and rescue will increase. In response to the frequent occurrence of coal and gas outburst disasters, it is necessary to further improve the accuracy of prediction and early warning.

[0003] Prediction and early warning should develop refined and quantifiable indicators, and at the same time develop trend warnings based on theoretical indicators, matching warnings based on accident experience, and precursor warnings based on monitoring data mining.

[0004] A more mature theory holds that outburst is jointly determined by ground stress, gas, and the physical and mechanical properties of coal. Ground stress causes the coal body to break and expand cracks. High-content gas accelerates desorption and outflow due to the fresh surface generated by the expansion and crushing of coal cracks. Based on this theory, the changes in the cracks inside the coal body can be analyzed to improve the accuracy of prediction and early warning. Summary of the invention

[0005] The present application provides a coal mine monitoring method and a monitoring system, which determine the probability of gas occurrence by discovering internal cracks in the coal body and analyzing the evolution of the cracks, and improve the accuracy of prediction and early warning, while realizing the pre-emptive prediction and early warning to a certain extent.

[0006] The above-mentioned purpose of the present application is achieved through the following technical solutions:

[0007] In a first aspect, the present application provides a coal mine monitoring method, comprising:

[0008] Acquire environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area;

[0009] Acquire environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area;

[0010] The ambient noise in the working area is converted into the frequency domain for analysis to obtain a first sound sample;

[0011] The environmental noise in the monitoring area is transferred into the frequency domain for analysis to obtain a second sound sample;

[0012] Screening the second sound sample according to the first sound sample to obtain a second sound screening sample;

[0013] Comparing the obtained second sound screening samples and determining the sound generation position according to the comparison result to obtain the monitoring position; and

[0014] The change of the monitoring position is determined based on the second sound screening samples obtained in the time series.

[0015] In a possible implementation manner of the first aspect, screening the second sound samples according to the first sound samples includes eliminating sound samples in the second sound samples that are identical to or similar to the first sound samples.

[0016] In a possible implementation manner of the first aspect, removing a sound sample that is identical to or similar to the first sound sample from the second sound sample includes:

[0017] Determine the straight-line distance between the first monitoring position and the second monitoring position, recorded as the propagation path;

[0018] determining a collection range of a first monitoring position and generating a propagation path area using the collection range and the propagation path;

[0019] modifying the first sound sample using the propagation path region;

[0020] Comparing the second sound sample with the corrected first sound sample, and removing the sound samples in the second sound sample that are the same as or similar to the first sound sample;

[0021] During correction, the propagation path area is used to obtain an attenuation coefficient range, the attenuation coefficient range includes a plurality of sub-attenuation coefficient ranges, and each sub-attenuation coefficient range corresponds to a distinct propagation medium area in the propagation path area.

[0022] In a possible implementation manner of the first aspect, the method further includes:

[0023] dividing the environmental noise at the first monitoring location into environmental noise with an occurrence location and environmental noise without an occurrence location;

[0024] For environmental noise at a first monitoring location having an occurrence location, determining a propagation path using the occurrence location;

[0025] For the environmental noise of the first monitoring position which does not have an occurrence position, correction is performed using the attenuation coefficient range.

[0026] In a possible implementation manner of the first aspect, comparing the obtained second sound screening samples and determining the sound emission position according to the comparison result includes:

[0027] Marking sample groups appearing in the second sound screening sample, each sample group including at least one waveform, and each sample group appearing in at least two second sound screening samples;

[0028] Use the location of the sample group to determine the location of the phonation;

[0029] Among them, the sample groups are sorted according to the distance, and the distance between the position of the sample group and the utterance position tends to increase in the order sequence;

[0030] The number of waveforms in the sample groups is the same, or, in sequential order, the number of waveforms in the sample groups tends to decrease.

[0031] In a possible implementation manner of the first aspect, marking the sample group includes:

[0032] A waveform of a frequency is selected and recorded as a first marked waveform, where the first marked waveform appears in at least two second sound screening samples;

[0033] determining a direction of a first marker waveform;

[0034] Screening a second marked waveform that meets the requirements in the second sound screening sample according to the first marked waveform and the direction of the first marked waveform;

[0035] Wherein, the direction of the second marking waveform is the same as or similar to the direction of the first marking waveform;

[0036] The second marker waveform appears in every sample group, or appears in the first few sample groups in a sequential sequence.

[0037] In a possible implementation manner of the first aspect, determining a change in the monitoring position includes:

[0038] In a sequential sequence, multiple sound groups of monitoring positions are obtained;

[0039] The obtained sound group is transferred to the frequency domain for decomposition, and one sound group is used to obtain a sound sample group;

[0040] The first sound sample group is compared with other sound sample groups in the sequential sequence, and waveforms with the same frequency and similar amplitude in other sound sample groups in the sequential sequence are eliminated, and during the elimination, a waveform in the first sound sample group only corresponds to one waveform in other sound sample groups in the sequential sequence;

[0041] The remaining waveforms in the sound sample group are sorted according to the frequency, and an evaluation curve is generated according to the amplitude corresponding to the frequency, and an evaluation curve is generated for each sound sample group;

[0042] Compare the sum of the closed area formed by any two evaluation curves, and issue an alarm when the sum of the closed area exceeds the allowable value;

[0043] Among them, only two evaluation curves are involved in each comparison.

[0044] In a second aspect, the present application provides a coal mine monitoring device, comprising:

[0045] A first acquisition unit is used to acquire environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area;

[0046] A second acquisition unit is used to acquire the environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area;

[0047] A first analysis unit, used for converting the ambient noise of the working area into the frequency domain for analysis to obtain a first sound sample;

[0048] A second analysis unit is used to convert the environmental noise of the monitoring area into the frequency domain for analysis to obtain a second sound sample;

[0049] A sample screening unit, configured to screen the second sound sample according to the first sound sample to obtain a second sound screening sample;

[0050] A first processing unit is used to compare the obtained second sound screening samples and determine the sound generation position according to the comparison result to obtain the monitoring position; and

[0051] The second processing unit is used to determine the change of the monitoring position according to the second sound screening samples obtained in the time series.

[0052] In a third aspect, the present application provides a coal mine monitoring system, the system comprising:

[0053] one or more memories for storing instructions; and

[0054] One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0055] In a fourth aspect, the present application provides a computer-readable storage medium, the computer-readable storage medium comprising:

[0056] Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0057] In a fifth aspect, the present application provides a computer program product, comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0058] In a sixth aspect, the present application provides a chip system, which includes a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0059] The chip system may be composed of chips, or may include chips and other discrete devices.

[0060] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic flowchart of the steps of a coal mine monitoring method provided in this application.

[0062] Figure 2 This is a deployment diagram of a monitoring location provided in this application.

[0063] Figure 3 It is a schematic diagram of a process for obtaining a second sound screening sample provided by the present application.

[0064] Figure 4 This is a schematic diagram of the principle of determining the sound position provided by this application.

[0065] Figure 5 It is a schematic diagram of an evaluation curve provided in this application.

[0066] Figure 6 This is a schematic diagram provided by the present application for obtaining the area of ​​a closed region using an evaluation curve.

[0067] Figure 7 This is another schematic diagram provided by the present application for obtaining the area of ​​a closed region using an evaluation curve. DETAILED DESCRIPTION

[0068] The technical solution in this application is further described in detail below in conjunction with the accompanying drawings.

[0069] This application discloses a coal mine monitoring method, please refer to Figure 1 In some examples, the coal mine monitoring method disclosed in this application includes the following steps:

[0070] S101, obtaining environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area;

[0071] S102, obtaining environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area;

[0072] S103, converting the ambient noise of the working area into the frequency domain for analysis to obtain a first sound sample;

[0073] S104, converting the environmental noise in the monitoring area into the frequency domain for analysis to obtain a second sound sample;

[0074] S105, screening the second sound sample according to the first sound sample to obtain a second sound screening sample;

[0075] S106, comparing the obtained second sound screening samples and determining the sound generation position according to the comparison result to obtain the monitoring position; and

[0076] S107, determining the change of the monitoring position according to the second sound screening samples obtained in the time series.

[0077] Based on the contents mentioned in the background technology, the relevant contents involved in this application are first explained.

[0078] There are two main forms of gas in coal seams: the gas in the permeable space is mainly in a free gas state, called free gas or free gas, and the gas in this state obeys the ideal gas state equation; the other is called adsorbed gas, which is mainly adsorbed on the microporous surface of coal and inside coal particles, occupying the vacancies in the coal molecular structure or the space between coal molecules.

[0079] Actual measurements show that at the mining depth (within 1000-2000m), the amount of gas adsorbed by coal seams accounts for 70%-95%, while the amount of free gas accounts for 5%-30%. As the mining depth increases, the proportion of gas adsorbed by coal seams further increases, which makes monitoring difficult to a certain extent.

[0080] The mining process can be regarded as the destruction of the coal seam. This destruction is unpredictable to a certain extent and will cause cracks to appear inside the coal seam. The cracks will cause a part of the coal seam to absorb gas and convert it into free gas and accumulate in the cracks. As the cracks change, the amount of free gas will further increase, and even the crack size will increase due to excessive free gas pressure.

[0081] These cracks and free gas directly threaten underground production safety because when the cracks are connected to the mine tunnel, the free gas in the cracks will quickly enter the mine tunnel. This increase in gas concentration is sudden, leaving insufficient reaction time for prediction and early warning.

[0082] In response to the above situation, the solution of the present application is to obtain the environmental noise from the first monitoring position of the working area and the environmental noise from the second monitoring position of the monitoring area in step S101 and step S102. The working area here refers to the coal mining area, and the environmental noise at the first monitoring position refers to the sound generated during the coal mining process; the monitoring area refers to the coverage area of ​​the sensor buried in the coal seam, and the environmental noise at the second monitoring position refers to the noise inside the coal seam.

[0083] See also Figure 2 Because the coal seam has a natural interception effect on the environmental noise of the first monitoring position, the environmental noise of the first monitoring position can be isolated to a certain extent by means of the buried depth of the sensor. There are multiple first monitoring positions in the working area and multiple second monitoring positions in the monitoring area. The purpose of setting multiple positions is to ensure the coverage and accuracy of sound collection.

[0084] In step S103, the ambient noise in the working area is transferred to the frequency domain for analysis to obtain a first sound sample, and in step S104, the ambient noise in the monitoring area is transferred to the frequency domain for analysis to obtain a second sound sample.

[0085] See also Figure 3 Then, the second sound sample is screened according to the first sound sample to obtain a second sound screening sample, which is the content in step S105. The purpose of the screening is to remove the first sound sample included in the second sound sample, that is, to remove the sound generated during the coal mining process from the internal noise of the coal seam.

[0086] Because although the coal seam has a certain degree of interception of the sound generated during the coal mining process, it is inevitable that a certain amount of the sound generated during the coal mining process will pass through the coal seam to the sensor buried in the coal seam.

[0087] In step S106, the obtained second sound screening samples are compared and the sound generation position is determined according to the comparison result to obtain the monitoring position. The monitoring position here refers to the found gap, because the gap will be accompanied by sound when it appears and changes.

[0088] The accompanying sounds include the sound of coal seam cracking and the sound of adsorbed gas turning into free gas. However, it should be noted that the accompanying sounds are not continuous, so sensors are required for continuous monitoring. Once a monitoring position is obtained, it will be marked and continuously monitored.

[0089] Finally, in step S107, the change of the monitoring position is determined according to the second sound screening samples obtained in the time series, and the change is obtained through continuous monitoring.

[0090] In some examples, screening the second sound sample according to the first sound sample includes eliminating the sound samples in the second sound sample that are the same as or similar to the first sound sample, specifically in the following manner:

[0091] S201, determining a straight-line distance between a first monitoring position and a second monitoring position, recorded as a propagation path;

[0092] S202, determining a collection range of a first monitoring position and generating a propagation path area using the collection range and the propagation path;

[0093] S203, using the propagation path area to correct the first sound sample;

[0094] S204, comparing the second sound sample with the corrected first sound sample, and removing the sound samples in the second sound sample that are the same as or similar to the first sound sample;

[0095] During correction, the propagation path area is used to obtain an attenuation coefficient range, the attenuation coefficient range includes a plurality of sub-attenuation coefficient ranges, and each sub-attenuation coefficient range corresponds to a distinct propagation medium area in the propagation path area.

[0096] Specifically, it is first necessary to determine the straight-line distance between the first monitoring position and the second monitoring position, recorded as the propagation path, and then determine the collection range of the first monitoring position and use the collection range and the propagation path to generate a propagation path area. The propagation path refers to the path of the first sound sample from the first monitoring position to the second monitoring position; the propagation path refers to the path of the first sound sample from the coverage area of ​​the first monitoring position to the second monitoring position.

[0097] It should be understood that the purpose of determining the collection range of the first monitoring position is to eliminate some sounds that are too weak. These sounds that are too weak are generally caused by being too far away. The sample size of weak sounds is small and the analysis is difficult, so they can be discarded.

[0098] In view of this, the solution of the present application is to increase the number of first monitoring positions, for example, to achieve full coverage of the construction area or even full coverage of the entire underground.

[0099] The use of the collection range and the propagation path to generate the propagation path area expresses that the first sound sample may be generated at any position within the collection range and then propagate to the second monitoring position.

[0100] Then, the propagation path area needs to be used to correct the first sound sample. The specific contents include: using the propagation path area to obtain the attenuation coefficient range, the attenuation coefficient range includes multiple sub-attenuation coefficient ranges, and each sub-attenuation coefficient range corresponds to a distinct propagation medium area in the propagation path area.

[0101] It should be understood that when sound propagates in a medium, it will face attenuation. Attenuation is manifested in the waveform as the frequency remains unchanged, but the amplitude decreases, that is, the sound becomes smaller and smaller. For the attenuation in the same medium, the attenuation coefficient can be used to represent it. The attenuation coefficient multiplied by the distance is equal to the decrease in amplitude.

[0102] Generally speaking, there are two media, air and coal seam, between the first monitoring position and the second monitoring position. These two media have an attenuation coefficient respectively. The distance multiplied by the attenuation coefficient is equal to the attenuation coefficient range. The attenuation coefficient range includes multiple sub-attenuation coefficient ranges. Each sub-attenuation coefficient range corresponds to a different propagation medium area in the propagation path area.

[0103] The first sound sample can be corrected through the attenuation coefficient range. The corrected first sound sample is the first sound sample received at the second monitoring position. The second sound sample is then compared with the corrected first sound sample, and the sound samples in the second sound sample that are the same or similar to the first sound sample are eliminated.

[0104] Of course, the environmental noise at the first monitoring position can also be divided into the environmental noise at the first monitoring position with the occurrence position and the environmental noise at the first monitoring position without the occurrence position. The specific processing method is:

[0105] For environmental noise at a first monitoring location having an occurrence location, determining a propagation path using the occurrence location;

[0106] For the environmental noise of the first monitoring position which does not have an occurrence position, correction is performed using the attenuation coefficient range.

[0107] This method can further improve the accuracy of the processing results, because for the environmental noise at the first monitoring position that does not have the occurrence position, a range will be obtained after correction processing, that is, within this range, as long as the samples in the second sound sample have the same frequency, they will be eliminated, which leads to a certain degree of erroneous elimination.

[0108] It should be understood that one way to determine the occurrence position is to have multiple units on the sensor, and the multiple units work simultaneously to calculate the direction through the MUSIC algorithm or a similar algorithm.

[0109] In some examples, the specific method of comparing the obtained second sound screening samples and determining the sound generation position according to the comparison result is:

[0110] S301, marking sample groups appearing in the second sound screening sample, each sample group including at least one waveform, and each sample group appearing in at least two second sound screening samples;

[0111] S302, determining the sounding position using the position of the sample group;

[0112] Among them, the sample groups are sorted according to the distance, and the distance between the position of the sample group and the utterance position tends to increase in the order sequence;

[0113] The number of waveforms in the sample groups is the same, or, in sequential order, the number of waveforms in the sample groups tends to decrease.

[0114] In step S301 and step S302, the sample groups appearing in the second sound screening sample are first marked, and then the positions of the sample groups are used to determine the sound positions. This processing method will obtain multiple positions. Because multiple sample groups may be marked in a second sound screening sample, each sample group can participate in a process of determining a sound position.

[0115] One sample group can get one direction. When there are two directions, the pointing area of ​​these two directions is the sound location. The more directions there are, the more accurate the sound location is. Figure 4 described.

[0116] One way to process it is to regard the direction as a vector. A vector has a starting point and infinite length. When multiple vectors have an intersection, the intersection is the sound source position. When there is no intersection, it is necessary to determine the convergence area of ​​these vectors, and the convergence area is the sound source position.

[0117] When labeling groups of samples, one approach is to:

[0118] S401, selecting a waveform of a frequency and recording it as a first marked waveform, where the first marked waveform appears in at least two second sound screening samples;

[0119] S402, determining the direction of the first marking waveform;

[0120] S403, screening a second marked waveform that meets the requirements in the second sound screening sample according to the first marked waveform and the direction of the first marked waveform;

[0121] Wherein, the direction of the second marking waveform is the same as or similar to the direction of the first marking waveform;

[0122] The second marker waveform appears in every sample group, or appears in the first few sample groups in a sequential sequence.

[0123] Specifically, it is necessary to first determine a waveform that appears in at least two second sound screening samples (frequency determination), record it as the first marker waveform, then determine the direction of the first marker waveform, and then screen the second marker waveform that meets the requirements in the second sound screening sample based on the first marker waveform and the direction of the first marker waveform.

[0124] The direction of the second marker waveform is the same as or similar to the direction of the first marker waveform, indicating that the generation regions of the first marker waveform and the second marker waveform are the same or similar.

[0125] The second marker waveform appears in every sample group, or appears in the first few sample groups in a sequential sequence, because the second marker waveform may decay to the point where it cannot be detected as the distance increases.

[0126] In some examples, the specific steps for determining the change of the monitoring location are as follows:

[0127] S501, obtaining multiple sound groups at monitoring locations in a sequential order;

[0128] S502, transferring the obtained sound group into the frequency domain for decomposition, and obtaining a sound sample group for each sound group;

[0129] S503, comparing the first sound sample group with other sound sample groups in the sequential sequence, and eliminating waveforms with the same frequency and similar amplitude in other sound sample groups in the sequential sequence, wherein a waveform in the first sound sample group corresponds to only one waveform in other sound sample groups in the sequential sequence;

[0130] S504, sorting the remaining waveforms in the sound sample group according to frequency, and generating an evaluation curve according to the amplitude corresponding to the frequency, wherein one evaluation curve is generated for each sound sample group;

[0131] S505, comparing the sum of the closed area areas formed by any two evaluation curves, and issuing an alarm when the sum of the closed area areas exceeds the allowable value;

[0132] Among them, only two evaluation curves are involved in each comparison.

[0133] Specifically, multiple sound groups at the monitoring location are obtained in a sequential sequence, and the multiple sound groups are sorted according to the acquisition time. The obtained sound groups are then transferred to the frequency domain for decomposition, and one sound group obtains a sound sample group, and at this time a sound sample group composed of different waveforms is obtained.

[0134] Then the first sound sample group is compared with other sound sample groups in the sequence, and waveforms with the same frequency and similar amplitude in other sound sample groups in the sequence are eliminated. It should be noted that when eliminating, a waveform in the first sound sample group only corresponds to one waveform in other sound sample groups in the sequence, with the purpose of retaining the waveform as much as possible. These retained waveforms can be regarded as the sound generated when the gap changes.

[0135] Then, the remaining waveforms in the sound sample group are sorted by frequency, and an evaluation curve is generated according to the amplitude corresponding to the frequency, such as Figure 5 As shown in , each sound sample group generates an evaluation curve, and finally compares the sum of the closed area formed by any two evaluation curves, such as Figure 6 As shown, an alarm is issued when the sum of the enclosed areas exceeds the allowed value.

[0136] See also Figure 7 When the evaluation curve does not correspond in the longitudinal direction, the area under the evaluation curve is taken as the closed area.

[0137] The reason for comparing the first sound sample group with other sound sample groups in the sequential sequence and eliminating waveforms with the same frequency and similar amplitude in other sound sample groups in the sequential sequence is that it can be determined that the time corresponding to the first sound sample group is safe, and the subsequent sound sample groups are compared with the first sound sample group.

[0138] Regarding the remaining waveforms in the sound sample group, generally speaking, when the state of the gap remains unchanged, the number of remaining waveforms in the sound sample group is almost zero; when the state of the gap changes, the number of remaining waveforms in the sound sample group will increase significantly.

[0139] The present application also provides a coal mine monitoring device, comprising:

[0140] A first acquisition unit is used to acquire environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area;

[0141] A second acquisition unit is used to acquire the environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area;

[0142] A first analysis unit, used for converting the ambient noise of the working area into the frequency domain for analysis to obtain a first sound sample;

[0143] A second analysis unit is used to convert the environmental noise of the monitoring area into the frequency domain for analysis to obtain a second sound sample;

[0144] A sample screening unit, configured to screen the second sound sample according to the first sound sample to obtain a second sound screening sample;

[0145] A first processing unit is used to compare the obtained second sound screening samples and determine the sound generation position according to the comparison result to obtain the monitoring position; and

[0146] The second processing unit is used to determine the change of the monitoring position according to the second sound screening samples obtained in the time series.

[0147] Furthermore, screening the second sound samples according to the first sound samples includes eliminating sound samples in the second sound samples that are identical to or similar to the first sound samples.

[0148] Furthermore, it also includes:

[0149] A first determining unit is used to determine a straight-line distance between the first monitoring position and the second monitoring position, recorded as a propagation path;

[0150] A second determining unit, configured to determine a collection range of the first monitoring position and generate a propagation path area using the collection range and the propagation path;

[0151] A sample correction unit, configured to correct the first sound sample using the propagation path area;

[0152] A first sample processing unit, used for comparing the second sound sample with the corrected first sound sample, and removing the sound samples in the second sound sample that are the same as or similar to the first sound sample;

[0153] During correction, the propagation path area is used to obtain an attenuation coefficient range, the attenuation coefficient range includes a plurality of sub-attenuation coefficient ranges, and each sub-attenuation coefficient range corresponds to a distinct propagation medium area in the propagation path area.

[0154] Furthermore, it also includes:

[0155] A second sample processing unit, used for dividing the environmental noise at the first monitoring position into environmental noise with an occurrence position and environmental noise without an occurrence position;

[0156] a third sample processing unit, configured to determine a propagation path using the occurrence position for the environmental noise of the first monitoring position having the occurrence position;

[0157] The fourth sample processing unit is used to correct the environmental noise of the first monitoring position that does not have an occurrence position by using the attenuation coefficient range.

[0158] Furthermore, it also includes:

[0159] A sample marking unit, used for marking sample groups appearing in the second sound screening sample, each sample group including at least one waveform, and each sample group appearing in at least two second sound screening samples;

[0160] a position determination unit for determining a sounding position using the position of the sample group;

[0161] Among them, the sample groups are sorted according to the distance, and the distance between the position of the sample group and the utterance position tends to increase in the order sequence;

[0162] The number of waveforms in the sample groups is the same, or, in sequential order, the number of waveforms in the sample groups tends to decrease.

[0163] Furthermore, it also includes:

[0164] A first sample selection unit is used to select a waveform of a frequency, which is recorded as a first marked waveform, and the first marked waveform appears in at least two second sound screening samples;

[0165] a direction determining unit, configured to determine a direction of the first marking waveform;

[0166] A second sample selection unit, used for selecting a second marked waveform that meets the requirements in the second sound screening sample according to the first marked waveform and the direction of the first marked waveform;

[0167] Wherein, the direction of the second marking waveform is the same as or similar to the direction of the first marking waveform;

[0168] The second marker waveform appears in every sample group, or appears in the first few sample groups in a sequential sequence.

[0169] Furthermore, it also includes:

[0170] A data acquisition unit, used for acquiring a plurality of sound groups at a monitoring position in a sequential sequence;

[0171] A data decomposition unit, used for transferring the obtained sound group into the frequency domain for decomposition, and obtaining a sound sample group for each sound group;

[0172] A data screening unit, used to compare the first sound sample group with other sound sample groups in the sequential sequence, and remove waveforms with the same frequency and similar amplitude in other sound sample groups in the sequential sequence, wherein a waveform in the first sound sample group corresponds to only one waveform in other sound sample groups in the sequential sequence;

[0173] A data sorting unit, used to sort the remaining waveforms in the sound sample group according to frequency, and generate an evaluation curve according to the amplitude corresponding to the frequency, and generate an evaluation curve for each sound sample group;

[0174] A data calculation unit is used to compare the sum of the closed area areas formed by any two evaluation curves, and to issue an alarm when the sum of the closed area areas exceeds the allowable value;

[0175] Among them, only two evaluation curves are involved in each comparison.

[0176] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0177] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0178] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0179] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0180] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0181] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0182] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0183] It should also be understood that in various embodiments of the present application, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present application.

[0184] It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0185] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a computer-readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0186] The present application also provides a coal mine monitoring system, the system comprising:

[0187] one or more memories for storing instructions; and

[0188] One or more processors are used to call and run the instructions from the memory to execute the method as described above.

[0189] The present application also provides a computer program product, which includes instructions. When the instructions are executed, the coal mine monitoring system (terminal device and network device) performs operations of the coal mine monitoring system (terminal device and network device) corresponding to the above method.

[0190] The present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0191] The chip system may be composed of chips, or may include chips and other discrete devices.

[0192] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0193] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0194] Optionally, the computer instructions are stored in a memory.

[0195] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0196] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0197] The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0198] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory.

[0199] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A coal mine monitoring method, characterized in that: include: Acquire environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area; Acquire environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area; The ambient noise in the working area is converted into the frequency domain for analysis to obtain a first sound sample; The environmental noise in the monitoring area is transferred into the frequency domain for analysis to obtain a second sound sample; Screening the second sound sample according to the first sound sample to obtain a second sound screening sample; Comparing the obtained second sound screening samples and determining the sound generation position according to the comparison result to obtain the monitoring position; as well as Determining changes in the monitoring position based on the second sound screening samples obtained in the time series; Comparing the obtained second sound screening samples and determining the sound generation position according to the comparison result includes: Marking sample groups appearing in the second sound screening sample, each sample group including at least one waveform, and each sample group appearing in at least two second sound screening samples; Use the location of the sample group to determine the location of the phonation; Among them, the sample groups are sorted according to the distance, and the distance between the position of the sample group and the utterance position tends to increase in the order sequence; The number of waveforms in the sample groups is the same, or, in the sequential order, the number of waveforms in the sample groups tends to decrease; When labeling sample groups, include: A waveform of a frequency is selected and recorded as a first marked waveform, and the first marked waveform appears in at least two second sound screening samples; determining a direction of a first marker waveform; Screening a second marked waveform that meets the requirements in the second sound screening sample according to the first marked waveform and the direction of the first marked waveform; Wherein, the direction of the second marking waveform is the same as or similar to the direction of the first marking waveform; The second marker waveform appears in each sample group, or appears in the first few sample groups in the sequential sequence; Determine the changes in monitoring locations including: In a sequential sequence, multiple sound groups of monitoring positions are obtained; The obtained sound group is transferred to the frequency domain for decomposition, and one sound group is used to obtain a sound sample group; The first sound sample group is compared with other sound sample groups in the sequential sequence, and waveforms with the same frequency and similar amplitude in other sound sample groups in the sequential sequence are eliminated, and during the elimination, a waveform in the first sound sample group only corresponds to one waveform in other sound sample groups in the sequential sequence; The remaining waveforms in the sound sample group are sorted according to the frequency, and an evaluation curve is generated according to the amplitude corresponding to the frequency, and an evaluation curve is generated for each sound sample group; Compare the sum of the closed area formed by any two evaluation curves, and issue an alarm when the sum of the closed area exceeds the allowable value; Among them, only two evaluation curves are involved in each comparison.

2. The coal mine monitoring method according to claim 1, characterized in that: Screening the second sound samples according to the first sound samples includes eliminating sound samples in the second sound samples that are identical to or similar to the first sound samples.

3. The coal mine monitoring method according to claim 2, characterized in that: Eliminating the sound samples in the second sound sample that are identical or similar to the first sound sample includes: Determine the straight-line distance between the first monitoring position and the second monitoring position, recorded as the propagation path; determining a collection range of a first monitoring position and generating a propagation path area using the collection range and the propagation path; modifying the first sound sample using the propagation path region; Comparing the second sound sample with the corrected first sound sample, and removing the sound samples in the second sound sample that are the same as or similar to the first sound sample; During correction, the propagation path area is used to obtain an attenuation coefficient range, the attenuation coefficient range includes a plurality of sub-attenuation coefficient ranges, and each sub-attenuation coefficient range corresponds to a distinct propagation medium area in the propagation path area.

4. The coal mine monitoring method according to claim 3, characterized in that: Also includes: dividing the environmental noise at the first monitoring position into environmental noise with an occurrence position and environmental noise without an occurrence position; For environmental noise at a first monitoring location having an occurrence location, determining a propagation path using the occurrence location; For the environmental noise of the first monitoring position which does not have an occurrence position, correction is performed using the attenuation coefficient range.

5. A coal mine monitoring device applied to the coal mine monitoring method of claims 1 to 4, characterized in that: include: A first acquisition unit is used to acquire environmental noise from a first monitoring position in a working area, where there are multiple first monitoring positions in the working area; A second acquisition unit is used to acquire the environmental noise from a second monitoring position in the monitoring area, where there are multiple second monitoring positions in the monitoring area; A first analysis unit, used to convert the ambient noise of the working area into the frequency domain for analysis to obtain a first sound sample; A second analysis unit is used to convert the environmental noise of the monitoring area into the frequency domain for analysis to obtain a second sound sample; A sample screening unit, configured to screen the second sound sample according to the first sound sample to obtain a second sound screening sample; A first processing unit is used to compare the obtained second sound screening samples and determine the sound generation position according to the comparison result to obtain the monitoring position; as well as The second processing unit is used to determine the change of the monitoring position according to the second sound screening samples obtained in the time series.

6. A coal mine monitoring system, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 4 is executed.

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