Coal mine gas control system and method

Abstract

The invention provides a coal mine gas control system and method. The method comprises the steps that pore distribution data of the inner wall of a drill hole in a primary drill hole path of a coal mine area where gas is to be extracted is obtained; determining pore distribution gradients at different positions of the inner wall of the drill hole according to the pore distribution data, and dividing the primary drill hole path into a plurality of extraction target areas based on all the pore distribution gradients in combination with the action characteristics of extraction negative pressure during extraction of the primary extraction pipeline; according to the density entropy of the pores of each extraction target area and the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline, the optimal deployment and control interval and the optimal deployment and control priority during secondary extraction pipeline deployment and control of each extraction target area are determined; the secondary extraction pipelines are deployed and controlled according to the optimal deployment and control spacing corresponding to each extraction target area through the deployment and control priority corresponding to each extraction target area, and a pipeline network of the coal mine area is obtained; and gas extraction of the coal mine area is carried out based on the pipeline network. The above scheme is based on the pipeline network, and adaptation of pipeline deployment and control and extraction strength can be achieved.

Description

Technical Field

[0001] The present application relates to the technical field of gas control, and more specifically, to a coal mine gas control system and method. Background Art

[0002] With the advancement of science and technology, gas control is constantly being updated and improved. At present, gas control mainly relies on advanced monitoring systems, ventilation systems and extraction technologies. The monitoring system can detect gas concentration in real time. Once the safety threshold is exceeded, the system will automatically issue an alarm and take corresponding measures. The ventilation system dilutes the gas and discharges it out of the mine through reasonable airflow organization, reducing the risk of gas accumulation. The extraction technology extracts gas from the coal seam, which can not only reduce the gas content in the mine, but also use the extracted gas as clean energy. The comprehensive application of these technologies has provided a strong guarantee for the effective control of gas and promoted coal mine safety production and energy sustainable development.

[0003] In existing gas control, gas control mainly achieves effective management and emission of gas by monitoring gas concentration, adjusting ventilation system, controlling gas flow and other means. In coal mine scenarios, gas sensors monitor gas concentration in real time. When the concentration approaches or exceeds the safety threshold, the system automatically adjusts the fan speed to extract gas to ensure the safety of mine operations. However, in coal mine gas extraction control, affected by the attenuation of extraction negative pressure in the extraction pipeline, traditional gas extraction methods cannot dynamically quantify the coupling relationship between the extraction negative pressure range and the pore characteristics of the coal seam, resulting in mismatch between pipeline control and extraction intensity. Therefore, how to achieve the adaptation of pipeline control and extraction intensity has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a coal mine gas control system and method, which can achieve the adaptation of pipeline layout and extraction intensity.

[0005] In a first aspect, the present application provides a coal mine gas extraction method for a coal mine gas control system to perform gas extraction control, the method comprising the following steps:

[0006] Drilling a hole in the coal mine area where gas is to be extracted according to a preset primary drilling path, and obtaining pore distribution data of the inner wall of the borehole in the primary drilling path;

[0007] Determine the pore distribution gradient at different positions of the borehole inner wall according to the pore distribution data, and then divide the primary borehole path into multiple extraction target areas during gas extraction based on the pore distribution gradient at different positions and the effect characteristics of the extraction negative pressure during extraction of the primary extraction pipeline;

[0008] Determine the density entropy of the inner wall pores in each extraction target area, and determine the optimal control spacing and control priority when each extraction target area is controlled by the density entropy of the inner wall pores in each extraction target area combined with the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline;

[0009] The secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, thereby obtaining the pipeline network for gas extraction in the coal mine area;

[0010] Gas extraction in the coal mine area is carried out based on the pipeline network.

[0011] In some embodiments, determining the pore distribution gradient at different positions of the borehole inner wall according to the pore distribution data specifically includes:

[0012] Extracting pore characteristic maps at different positions of the pore inner wall from the pore distribution data;

[0013] Performing multi-dimensional feature extraction of inner wall pores on the pore feature map at each position to obtain a pore feature vector corresponding to each position;

[0014] Constructing an inner wall pore characteristic matrix of the inner wall of the borehole according to all pore characteristic vectors;

[0015] The inner wall pore characteristic matrix is ​​subjected to gradient calculation to obtain the pore distribution gradient at different positions of the inner wall of the borehole.

[0016] In some embodiments, the primary drilling path is divided into multiple extraction target areas for gas extraction based on the pore distribution gradient at different positions combined with the effect characteristics of the extraction negative pressure during extraction of the primary extraction pipeline, specifically including:

[0017] Obtaining historical action radius information of the negative pressure of the primary extraction pipeline during the extraction process;

[0018] Determining the action characteristics of the negative pressure during extraction of the primary extraction pipeline according to the historical action radius information;

[0019] Cluster analysis is performed on the pore distribution gradient at each position to obtain multiple pore distribution gradient clusters;

[0020] The primary drilling path is divided into a plurality of extraction target areas by all pore distribution gradient clusters and the action characteristics.

[0021] In some embodiments, determining the density entropy of the inner wall pores in each extraction target area specifically includes:

[0022] Obtaining pore characteristic maps corresponding to each extraction target area;

[0023] Selecting a sampling target area as the selected sampling target area, and extracting all pore pixel points in the pore characteristic map corresponding to the selected sampling target area;

[0024] Determine the pixel distribution ratio corresponding to each different pore pixel point;

[0025] Determine the density entropy of the inner wall pores in the selected extraction target area according to the pixel distribution ratio corresponding to each different pore pixel point;

[0026] Continue to determine the density entropy of the inner wall pores in the remaining extraction target area.

[0027] In some embodiments, the secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, and then the pipeline network for gas extraction in the coal mine area is obtained, which specifically includes:

[0028] In the extraction target area with the highest control priority, the secondary extraction pipelines are laid out according to the corresponding optimal control spacing;

[0029] After completing the control of the extraction target area with the highest control priority, the secondary extraction pipeline control is carried out on other extraction target areas in descending order of control priority until all extraction target areas are controlled;

[0030] All the secondary extraction pipelines after deployment are connected to the primary extraction pipeline to obtain a pipeline network for gas extraction in the coal mine area.

[0031] In some embodiments, all the secondary extraction pipelines after deployment are connected to the primary extraction pipeline to obtain a pipeline network for gas extraction in the coal mine area, specifically including:

[0032] Obtain the connection ports of all deployed secondary extraction pipelines and mark the connection points of each secondary extraction pipeline with the primary extraction pipeline;

[0033] The connection ports of each secondary extraction pipeline are connected to the connection points of the corresponding primary extraction pipeline one by one until all secondary extraction pipelines are connected to the primary extraction pipeline, thereby forming a pipeline network for gas extraction in the coal mine area.

[0034] In some embodiments, the pore distribution data comprises a plurality of pore characteristic maps.

[0035] In a second aspect, the present application provides a coal mine gas control system, which includes a gas extraction unit, and the gas extraction unit includes:

[0036] An acquisition module, used to drill a coal mine area where gas is to be extracted according to a preset primary drilling path, and to acquire pore distribution data of the inner wall of the borehole in the primary drilling path;

[0037] A processing module, for determining the pore distribution gradients at different positions of the borehole inner wall according to the pore distribution data, and then dividing the primary borehole path into a plurality of drainage target areas during gas drainage based on the pore distribution gradients at different positions combined with the action characteristics of the drainage negative pressure during drainage of the primary drainage pipeline;

[0038] The processing module is further used to determine the density entropy of the inner wall pores in each extraction target area, and determine the optimal control spacing and control priority when each extraction target area is controlled by the density entropy of the inner wall pores in each extraction target area combined with the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline;

[0039] The processing module is further used to arrange the secondary extraction pipeline according to the optimal arrangement spacing corresponding to each extraction target area through the arrangement priority corresponding to each extraction target area, so as to obtain the pipeline network when gas extraction is performed in the coal mine area;

[0040] An execution module is used to perform gas extraction in the coal mine area based on the pipeline network.

[0041] In a third aspect, the present application provides a computer device, which includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned coal mine gas extraction method.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above-mentioned coal mine gas extraction method when executed by a processor.

[0043] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0044] In the coal mine gas control system and method provided in the present application, first, the coal mine area where gas is to be extracted is drilled according to a preset primary drilling path, and the pore distribution data of the inner wall of the borehole in the primary drilling path is obtained; secondly, the pore distribution data of the inner wall of the borehole in the primary drilling path is obtained, and the pore distribution gradient of the inner wall of the borehole is determined according to the pore distribution data, and then the primary drilling path is divided into multiple extraction target areas based on the pore distribution gradient combined with the action characteristics of the extraction negative pressure during extraction by the primary extraction pipeline; further, each extraction target area is determined The density entropy of the inner wall pores in the target area is determined, and the optimal control spacing and control priority of each extraction target area when the secondary extraction pipeline is controlled are determined by combining the density entropy of the inner wall pores in each extraction target area with the influence radius of the extraction negative pressure during extraction by the secondary extraction pipeline; then, the secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, so as to obtain the pipeline network for gas extraction in the coal mine area; finally, gas extraction in the coal mine area is carried out based on the pipeline network.

[0045] It can be seen that the present application can achieve the adaptation of pipeline control and extraction intensity; first, the coal mine area where gas is to be extracted is drilled according to the preset primary drilling path, and the pore distribution data of the inner wall of the borehole in the primary drilling path is obtained to ensure that the extraction system covers the target extraction area, reduce invalid drilling, and provide a spatial reference for subsequent secondary pipeline control; secondly, the pore distribution gradient of the inner wall of the borehole is determined according to the pore distribution data of the inner wall of the borehole in the primary drilling path, and the primary drilling path is divided into multiple extraction target areas based on the pore distribution gradient combined with the action characteristics of the extraction negative pressure during extraction by the primary extraction pipeline to achieve quantitative matching of geological parameters and extraction parameters, thereby solving the problem that traditional methods cannot quantify the coupling relationship between the range of action of extraction negative pressure and the pore characteristics of the coal seam; further, the density entropy of the inner wall pores in each extraction target area is determined to quantify the degree of disorder of the pore distribution, and identify The extraction difficulties in complex geological areas are identified, and the optimal control spacing and control priority of each extraction target area when the secondary extraction pipeline is deployed are determined by combining the density entropy of the pores in each extraction target area with the influence radius of the extraction negative pressure during extraction through the secondary extraction pipeline, so as to ensure that the extraction negative pressure is effectively covered and not overlapped, thereby improving the extraction efficiency of coal mine gas; then, the secondary extraction pipelines are deployed according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, so as to obtain the pipeline network for gas extraction in the coal mine area, and then adapt to the gas extraction under the changing conditions of different coal seams in the coal mine area, thereby improving the extraction flexibility and effectiveness of gas extraction; finally, gas extraction in the coal mine area is carried out based on the pipeline network to achieve the adaptation of pipeline control and extraction intensity; in summary, the technical solution provided in the present application can achieve the adaptation of pipeline control and extraction intensity. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is an exemplary flow chart of a coal mine gas extraction method according to some embodiments of the present application;

[0047] Figure 2 is an exemplary flow chart of determining a pore distribution gradient according to some embodiments of the present application;

[0048] Figure 3 is an exemplary flow chart of determining density entropy according to some embodiments of the present application;

[0049] Figure 4 is a schematic diagram of the structure of a gas extraction unit according to some embodiments of the present application;

[0050] Figure 5 It is a structural schematic diagram of a computer device for implementing a coal mine gas extraction method according to some embodiments of the present application. DETAILED DESCRIPTION

[0051] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] refer to Figure 1 , which is an exemplary flow chart of a coal mine gas extraction method according to some embodiments of the present application. The coal mine gas extraction method 100 mainly includes the following steps:

[0053] In step 101, a coal mine area where gas is to be extracted is drilled according to a preset primary drilling path, and pore distribution data of the inner wall of the borehole in the primary drilling path is obtained.

[0054] In specific implementation, a preset primary drilling path of a coal mine area where gas is to be extracted is obtained through a coal mine gas monitoring database, and the coal mine area is drilled according to the primary drilling path by using logging while drilling (LWD) in directional drilling technology. When drilling the coal mine area according to the primary drilling path, computer tomography is used to obtain inner wall images at different positions of the borehole inner wall in the primary drilling path, and the inner wall images at different positions are pore segmented by the Otsu threshold segmentation method in the image segmentation technology to obtain pore characteristic images at each position, and all pore characteristic images are combined to obtain pore distribution data of the borehole inner wall in the primary drilling path, and the pore distribution data is stored in the coal mine gas monitoring database.

[0055] It should be noted that the primary drilling path in the present application represents the initial drilling route in the coal mine area, which is used to guide the layout of subsequent extraction pipelines. The primary drilling path is a drilling route set based on historical drilling experience, which will not be repeated here. The primary drilling path is used as the layout path of the primary extraction pipeline; in this embodiment, the coal mine gas monitoring database refers to a database specifically used to store, manage and analyze coal mine gas related monitoring data. The coal mine gas monitoring database generally covers data such as underground coal mine gas concentration, gas pressure, coal seam gas content, gas outburst volume, drilling extraction volume, gas flow rate, etc., and can be used for real-time monitoring, early warning analysis, extraction optimization and safety management.

[0056] It should also be noted that the pore distribution data in the present application refers to data containing pore information at different positions on the inner wall of the borehole, and the pore distribution data includes multiple pore characteristic maps, and the pore characteristic maps represent images used to display the shape, size, distribution and related characteristics of the pores on the inner wall of the borehole. The inner wall of the borehole in the present application refers to the side portion of the hole formed by the drill bit during the drilling process in the coal mine area.

[0057] In step 102, the pore distribution gradient at different positions of the borehole inner wall is determined according to the pore distribution data, and then the primary drilling path is divided into multiple extraction target areas during gas extraction based on the pore distribution gradient at different positions and the action characteristics of the extraction negative pressure during extraction of the primary extraction pipeline.

[0058] In some embodiments, reference Figure 2 As shown in FIG. 1 , this figure is an exemplary flow chart of determining the pore distribution gradient according to some embodiments of the present application. In this embodiment, the pore distribution gradient at different positions of the inner wall of the borehole can be determined according to the pore distribution data by using the following steps:

[0059] First, in step 1021, pore characteristic maps at different positions of the pore inner wall in the pore distribution data are extracted;

[0060] Secondly, in step 1022, multi-dimensional features of inner wall pores are extracted from the pore feature map at each position to obtain a pore feature vector corresponding to each position;

[0061] Then, in step 1023, an inner wall pore feature matrix of the inner wall of the borehole is constructed according to all pore feature vectors;

[0062] Finally, in step 1024, the gradient of the inner wall pore characteristic matrix is ​​calculated to obtain the pore distribution gradient at different positions on the inner wall of the borehole.

[0063] In the specific implementation, the multi-dimensional features of the inner wall pores are extracted from the pore feature map at each position to obtain the pore feature vector corresponding to each position, that is: the multi-dimensional features of the inner wall pores are extracted from the pore feature map at each position by using the image processing tool OpenCV to obtain the pore area, pore density and pore aspect ratio corresponding to each position, and the pore area, pore density and pore aspect ratio corresponding to each position are combined to obtain the pore feature vector corresponding to each position, wherein the function cv2.contourArea() in OpenCV can be used to calculate the pore area corresponding to each position, which can be The function cv2.arcLength() in OpenCV is used to calculate the pore aspect ratio corresponding to each position, and the pore density at each position can be determined by calculating the proportion of the number of pore pixels at each position. In addition, in other embodiments, other methods can be used to extract multi-dimensional features of the inner wall pores from the pore feature map at each position, which is not limited here. In this embodiment, the pore feature vector represents a vector composed of multiple characteristic parameters describing the distribution of inner wall pores, and the pore feature vector includes pore area, pore density and pore aspect ratio, that is, pore area, pore density and pore length and width are respectively used as pore features.

[0064] In specific implementation, the inner wall pore feature matrix of the inner wall of the borehole is constructed according to all the pore feature vectors, that is: according to the order of different positions on the inner wall of the borehole, the pore feature vectors are arranged in rows to obtain the inner wall pore feature matrix of the inner wall of the borehole, the row elements of the inner wall pore feature matrix are composed of different pore features corresponding to each position, and the column elements of the inner wall pore feature matrix are composed of the same pore feature corresponding to each position; in this embodiment, the inner wall pore feature matrix represents a mathematical structure for characterizing the pore features at different positions on the inner wall of the borehole, and the pore feature vectors at each position are stored in the form of a matrix to facilitate gradient calculation and spatial distribution analysis, each element in the inner wall pore feature matrix is ​​characterized by an inner wall pore feature, and the inner wall pore feature represents a value measuring the pore features at different positions on the inner wall of the borehole.

[0065] In a specific implementation, the gradient of the inner wall pore feature matrix is ​​calculated to obtain the pore distribution gradient at different positions of the inner wall of the borehole, that is, all the inner wall pore features in the inner wall pore feature matrix are normalized by maximum and minimum normalization, the absolute difference of the corresponding elements between adjacent row vectors of the normalized inner wall pore feature matrix is ​​calculated, and all the absolute difference calculation results are averaged, and the average calculation result is used as the pore distribution gradient at the corresponding position of the inner wall of the borehole, thereby obtaining the pore distribution gradient at different positions of the inner wall of the borehole; wherein each row vector corresponds to a position of the inner wall of the borehole; wherein all the inner wall pore features in the inner wall pore feature matrix are normalized by maximum and minimum normalization, that is, each inner wall pore feature in the inner wall pore feature matrix is ​​input as a variable parameter into the maximum and minimum normalization function, and the maximum and minimum normalization function outputs the normalized value corresponding to each inner wall pore feature, thereby obtaining the normalized inner wall pore feature matrix.

[0066] It should be noted that the pore distribution gradient in the present application represents a value that measures the degree of change in the pore characteristics of the inner wall of the borehole. The pore distribution gradient reflects the changes in the pore characteristics at different positions along the inner wall of the borehole. By determining the pore distribution gradient, high pore change areas can be identified. These areas may be gas-enriched areas or areas where gas is released faster. By identifying the pore distribution gradient, the gas extraction target areas can be reasonably divided to ensure that the gas extraction schemes in different areas match the characteristics of the coal seam, thereby effectively improving the efficiency of gas extraction.

[0067] In some embodiments, the primary drilling path is divided into multiple extraction target areas for gas extraction based on the pore distribution gradient at different positions combined with the action characteristics of the extraction negative pressure during extraction of the primary extraction pipeline. The following steps can be used, namely:

[0068] Acquire historical action radius information of the negative pressure of the primary extraction pipeline during the extraction process;

[0069] Determining the action characteristics of the negative pressure during extraction of the primary extraction pipeline according to the historical action radius information;

[0070] Cluster analysis is performed on the pore distribution gradient at each position to obtain multiple pore distribution gradient clusters;

[0071] The primary drilling path is divided into a plurality of extraction target areas by all pore distribution gradient clusters and the action characteristics.

[0072] In specific implementation, the historical effective radius information of the extraction negative pressure of the primary extraction pipeline during the extraction process is obtained through the coal mine gas monitoring database. The historical effective radius information includes the effective radius value of the primary extraction pipeline under different extraction environments. The effective radius value can be obtained by simulating fluid dynamics simulation or by obtaining the log file of the extraction negative pressure during the extraction process of the primary extraction pipeline. It will not be repeated here. In this embodiment, the effective radius value represents the maximum effective range of the extraction negative pressure during the extraction process of the primary extraction pipeline.

[0073] In specific implementation, the action characteristics of the extraction negative pressure during extraction through the primary extraction pipeline are determined according to the historical action radius information, that is: all action radii in the historical action radius information are averaged, and the average calculation result is used as the action characteristics of the extraction negative pressure during extraction through the primary extraction pipeline. In addition, in other embodiments, other calculation methods can be used to calculate the action characteristics of the extraction negative pressure during extraction through the primary extraction pipeline, which is not limited here. The action characteristics in this application are parameters that characterize the propagation characteristics of the extraction negative pressure in the coal seam, and the action characteristics are specifically measured by the average of the historical action radii of the extraction negative pressure during extraction through the primary extraction pipeline.

[0074] In specific implementation, cluster analysis is performed on the pore distribution gradient at each position to obtain multiple pore distribution gradient clusters, that is, the cluster number of all pore distribution gradients is set, and the pore distribution gradient at each position is clustered according to the cluster number by the K-means algorithm to obtain multiple pore distribution gradient clusters. The cluster number can be set according to actual needs. Since there will be high fracture clustering areas, medium fracture clustering areas and low fracture clustering areas in the initial extraction path, the cluster number is set to 3 in this embodiment. In addition, in other embodiments, it can also be set according to actual needs, which is not limited here; wherein, according to the cluster number, the pore distribution gradient at each position is clustered according to the K-means algorithm to obtain multiple pore distribution gradient clusters. Pore ​​distribution gradient cluster, that is: randomly selecting the initial cluster centers corresponding to the number of clusters in all pore distribution gradients, and calculating the Euclidean distance from each pore distribution gradient to each initial cluster center, and classifying the pore distribution gradient to the initial cluster center closest to it, thereby obtaining multiple pore distribution gradient clusters; in this embodiment, the pore distribution gradient cluster represents a collection of multiple pore distribution gradient characteristics, each pore distribution gradient cluster contains multiple spatial position points, and these spatial position points have high similarity in terms of pore size, density change trend, etc. The pore distribution gradient cluster can reflect the pore structure characteristics of different areas in the coal seam, and provide a basis for optimizing the layout of gas extraction pipelines, thereby improving extraction efficiency and reducing extraction blind areas and gas residual risks.

[0075] In a specific implementation, the primary drilling path is divided into a plurality of extraction target areas through all pore distribution gradient clusters and the action characteristics, that is: for each pore distribution gradient cluster, each pore distribution gradient in the pore distribution gradient cluster is connected at a position corresponding to the primary drilling path to obtain a candidate extraction target area corresponding to the pore distribution gradient cluster, and then the candidate extraction target area corresponding to each pore distribution gradient cluster is obtained, the radius of the maximum circumscribed circle of each candidate extraction target area is extracted, and the radius of the maximum circumscribed circle of each candidate extraction target area is compared with the action characteristics. When the radius of the maximum circumscribed circle of the candidate extraction target area is less than or equal to the action characteristics, the candidate extraction target area is used as the extraction target area; when the radius of the maximum circumscribed circle of the candidate extraction target area is greater than the action characteristics, the candidate extraction target area is used as the extraction target area. When the above-mentioned action characteristics are met, the candidate extraction target area is divided twice, and the area obtained after the division is used as the extraction target area, and then a plurality of extraction target areas are obtained; wherein, the candidate extraction target area is divided twice, that is: the candidate extraction target area is divided twice by the Voronoi diagram method until the radius of the maximum circumscribed circle of the area obtained after the division is less than or equal to the above-mentioned action characteristics, and then the divided area is obtained, for example, a seed point is randomly selected from the candidate extraction target area, and then the distance from each point in the candidate extraction target area to the seed point is calculated, and the Voronoi diagram corresponding to the point that belongs to the nearest seed point is used as the divided area; wherein, the radius of the maximum circumscribed circle of each candidate extraction target area is extracted by the data processing tool Python, which will not be repeated here.

[0076] It should be noted that the extraction target area in the present application represents the gas extraction area divided from the primary drilling path. Each extraction target area has a relatively uniform pore distribution characteristic and is within a similar extraction negative pressure influence range. By determining the extraction target area, the layout strategy of the secondary extraction pipeline can be effectively optimized according to the gas enrichment conditions and extraction needs of different areas, thereby improving the efficiency and safety of gas extraction.

[0077] In step 103, the density entropy of the inner wall pores in each extraction target area is determined, and the optimal control spacing and control priority when the secondary extraction pipeline is deployed in each extraction target area are determined by combining the density entropy of the inner wall pores in each extraction target area with the influence radius of the extraction negative pressure during extraction by the secondary extraction pipeline.

[0078] In some embodiments, reference Figure 3 As shown, this figure is an exemplary flow chart of determining density entropy according to some embodiments of the present application. In this embodiment, the density entropy of the inner wall pores in each extraction target area can be determined by the following steps:

[0079] First, in step 1031, a pore characteristic map corresponding to each extraction target area is obtained;

[0080] Next, in step 1032, a sampling target area is selected as a selected sampling target area, and all pore pixel points in the pore characteristic map corresponding to the selected sampling target area are extracted;

[0081] Further, in step 1033, the pixel distribution ratio corresponding to each different pore pixel point is determined;

[0082] Then, in step 1034, the density entropy of the inner wall pores in the selected extraction target area is determined according to the pixel distribution ratio corresponding to each different pore pixel point;

[0083] Finally, in step 1035 , the density entropy of the inner wall pores in the remaining extraction target area is continuously determined.

[0084] In specific implementation, the pore characteristic map corresponding to each extraction target area can be obtained through the coal mine gas monitoring database. The pore characteristic map is obtained by computer tomography, which will not be repeated here. In this embodiment, the pore characteristic map represents an image used to display the shape, size, distribution and related characteristics of the pores on the inner wall of the borehole.

[0085] In specific implementation, all pore pixel points in the pore characteristic map corresponding to the selected extraction target area are extracted, that is: the segmentation threshold of the pore characteristic map is calculated by the Otsu method in the threshold segmentation method, the pixel value at each pixel point in the pore characteristic map is compared with the segmentation threshold, and the pixel points with pixel values ​​greater than the segmentation threshold are taken as pore pixel points, thereby obtaining all pore pixel points in the pore characteristic map corresponding to the selected extraction target area. In addition, in other embodiments, other methods can also be used to extract all pore pixel points in the pore characteristic map corresponding to the selected extraction target area, such as Canny operator and Sobel operator, which are not limited here. In this embodiment, the pore pixel points represent pixels at the pores on the inner wall of the borehole.

[0086] In specific implementation, the pixel distribution ratio corresponding to each different pore pixel point is determined, that is: the total number of pixels in the pore characteristic map corresponding to the selected extraction target area and the frequency of occurrence of each different pore pixel point are obtained, and for each different pore pixel point, the quotient of the frequency of occurrence of different pore pixels and the total number of pixels is used as the pixel distribution ratio corresponding to the different pore pixel point, and then the pixel distribution ratio corresponding to each different pore pixel point is obtained; in this embodiment, the pixel distribution ratio represents the pixel ratio of different pore pixel points in the pore characteristic map, and the pixel distribution ratio reflects the relative importance or distribution of the pore characteristics in the pore characteristic map in the overall image.

[0087] In specific implementation, the density entropy of the inner wall pores in the selected extraction target area is determined according to the pixel distribution ratio corresponding to each different pore pixel point, that is, the pixel distribution ratio corresponding to each different pore analysis pixel point is input as an input variable into a preset entropy function, and the output result of the entropy function is used as the density entropy of the inner wall pores in the selected extraction target area. The preset entropy function adopts the Shannon entropy function. In addition, other entropy functions can also be used in other embodiments, which are not limited here.

[0088] It should be noted that the density entropy in the present application represents an indicator for measuring the degree of distribution disorder of the pores on the inner wall of the extraction target area. The higher the density entropy, the more complex and uneven the pore distribution in the area, and the more difficult it is to predict the gas flow path, which may require more intensive extraction pipeline control. On the contrary, the lower the density entropy, the more uniform the pore structure, the more stable the gas flow direction, and the density of extraction pipeline control can be appropriately reduced. Therefore, by determining the density entropy, the optimization of the secondary extraction pipeline control can be effectively guided, thereby improving the efficiency and effectiveness of gas extraction in coal mines.

[0089] In some embodiments, the optimal control spacing and control priority of each extraction target area when the secondary extraction pipeline is controlled can be determined by combining the density entropy of the inner wall pores in each extraction target area with the influence radius of the extraction negative pressure during extraction by the secondary extraction pipeline. The following steps can be used, namely:

[0090] Obtaining the influence radius of the negative pressure of the secondary extraction pipeline during extraction;

[0091] Determine the attenuation of the influence radius at the density entropy corresponding to each extraction target area when the secondary extraction pipeline is extracting;

[0092] Determine the optimal control spacing when each extraction target area performs the secondary extraction pipeline control based on all attenuation degrees and the area of ​​each extraction target area;

[0093] The control priority of each extraction target area when performing the secondary extraction pipeline control is determined by the density entropy of the inner wall pores in each extraction target area.

[0094] In specific implementation, the influence radius of the negative pressure of extraction during extraction through the secondary extraction pipeline can be obtained through computational fluid dynamics simulation, that is, firstly, ANSYS Fluent in the CFD simulation software is used to construct a coal mine gas flow model, and the negative pressure field of the secondary extraction pipeline is numerically simulated, and the pressure decay curve is calculated under different extraction negative pressure conditions, and then the position where the negative pressure drops to a specific threshold (such as 10% of the initial negative pressure) is extracted from the pressure decay curve under different extraction negative pressure conditions as a candidate influence radius, and then, the mean of all candidate influence radii is calculated, and the mean calculation result is used as the influence radius of the negative pressure of extraction during extraction through the secondary extraction pipeline. It will not be repeated here. In addition, in other embodiments, other methods can also be used to obtain the influence radius of the negative pressure of extraction during extraction through the secondary extraction pipeline, which is not limited here.

[0095] It should be noted that the influence radius in the present application indicates the spatial range in which the negative pressure of extraction in the secondary extraction pipeline affects the flow of gas inside the coal seam. Specifically, the influence radius indicates the maximum distance range in which the secondary extraction pipeline can affect the seepage and migration of coal seam gas when negative pressure extraction is applied. Since the extraction negative pressures generated by extraction pipelines of different lengths are different, by determining the influence radius of the extraction negative pressure during extraction through the secondary extraction pipeline, the lateral expansion analysis of the gas inside the coal mine can be effectively carried out, thereby obtaining a more effective layout of the secondary extraction pipeline.

[0096] In a specific implementation, the attenuation degree of the influence radius under the density entropy corresponding to each extraction target area when the secondary extraction pipeline is extracted is determined, that is, the density entropy corresponding to each extraction target area is used as the attenuation influence coefficient of the influence radius, and then the attenuation degree of the influence radius under the density entropy corresponding to each extraction target area when the secondary extraction pipeline is extracted is determined according to the attenuation influence coefficient corresponding to each extraction target area and the influence radius; the attenuation degree can be expressed by the expression: OK, δ γ It represents the attenuation of the influence radius under the density entropy corresponding to the γth extraction target area, e is the base of the exponential function, is the attenuation influence coefficient corresponding to the γth extraction target area, H is the influence radius. In addition, in other embodiments, other calculation methods can be used to calculate the attenuation of the influence radius under the density entropy corresponding to each extraction target area when the secondary extraction pipeline is extracted. There is no limitation here. In this embodiment, the attenuation influence coefficient represents the coefficient that affects the attenuation of the influence radius; in this embodiment, the attenuation degree represents the attenuation degree of the influence radius of the extraction negative pressure in different extraction target areas due to the different pore density entropies. The attenuation degree reflects the effective propagation capacity of the extraction negative pressure in the extraction target area, and the change in the gas seepage affected by the complexity of the pore distribution.

[0097] In specific implementation, the optimal control spacing for each extraction target area when performing the secondary extraction pipeline control is determined based on all attenuation degrees and the area area of ​​each extraction target area, that is: based on the area area of ​​each extraction target area, the selected control spacing corresponding to each extraction target area is determined by a grid search method, for each extraction target area, the corresponding selected control spacing is corrected by the attenuation degree of the extraction target area, and the optimal control spacing for the extraction target area when performing the secondary extraction pipeline control is obtained, and then the optimal control spacing for each extraction target area when performing the secondary extraction pipeline control is obtained; wherein, based on the area area of ​​each extraction target area, the selected control spacing corresponding to each extraction target area is determined by a grid search method, that is: the search spacing range and search step length of the control spacing are set, for example, the search spacing range is set from 10 meters to 50 meters, and the search is performed with a search step length of 10 meters. For each extraction target area, the grid search traverses the search All possible control spacing combinations within the cable spacing range, and for each control spacing in the control spacing combination, the extraction effect is simulated based on the regional area of ​​the extraction target area, and the extraction efficiency under each control spacing is calculated. For example, by calculating the total pressure drop deviation of the extraction negative pressure, the control spacing that minimizes the total pressure drop deviation is finally selected as the selected control spacing, and then the selected control spacing corresponding to each extraction target area is obtained; wherein, the corresponding selected control spacing is corrected by the attenuation degree of the extraction target area, and the optimal control spacing when the extraction target area performs the secondary extraction pipeline control is obtained, that is: the difference between the selected control spacing and the attenuation degree of the extraction target area is calculated, and the difference calculation result is used as the optimal control spacing when the extraction target area performs the secondary extraction pipeline control. In addition, in other embodiments, other calculation methods can also be used to calculate the optimal control spacing when the extraction target area performs the secondary extraction pipeline control, which is not limited here.

[0098] It should be noted that the optimal control spacing in the present application represents the optimal control distance of the secondary extraction pipeline in the extraction target area. By determining the optimal control spacing, it can be effectively ensured that the extraction pipeline can evenly distribute the negative pressure in the target area, effectively reduce the gas concentration and improve the gas recovery rate, thereby avoiding the problem of insufficient gas extraction in the coal mine area, thereby achieving efficient utilization of resources and reducing interference with the coal seam.

[0099] In specific implementation, the control priority of each extraction target area when performing the secondary extraction pipeline control is determined by the density entropy of the inner wall pores in each extraction target area, that is, the control priority of each extraction target area when performing the secondary extraction pipeline control is set according to the density entropy of the inner wall pores in each extraction target area, that is, the larger the density entropy of the inner wall pores in the extraction target area, the higher the control priority of setting the extraction target area when performing the secondary extraction pipeline control, and the smaller the density entropy of the inner wall pores in the extraction target area, the lower the control priority of setting the extraction target area when performing the secondary extraction pipeline control.

[0100] It should be noted that the control priority in this application represents the level of control of the secondary extraction pipeline. By determining the control priority for each extraction target area, the extraction pipeline control can be carried out in priority to those areas with high gas concentration, poor extraction effect or high risk according to the gas characteristics and mining needs of different target areas. This priority arrangement ensures the orderliness and targeting of the extraction process, thereby improving the overall extraction efficiency. Specifically, the determination of control priority can effectively avoid blind or excessive extraction, reduce energy waste and system overload, and ensure that each extraction target area is processed at the most appropriate time and method.

[0101] In step 104, the secondary extraction pipeline is arranged according to the optimal control spacing corresponding to each extraction target area through the arrangement priority corresponding to each extraction target area, thereby obtaining the pipeline network for gas extraction in the coal mine area.

[0102] In some embodiments, the secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, and then the pipeline network for gas extraction in the coal mine area can be obtained by the following steps, namely:

[0103] In the extraction target area with the highest control priority, the secondary extraction pipelines are laid out according to the corresponding optimal control spacing;

[0104] After completing the control of the extraction target area with the highest control priority, the secondary extraction pipeline control is carried out on other extraction target areas in descending order of control priority until all extraction target areas are controlled;

[0105] All the secondary extraction pipelines after deployment are connected to the primary extraction pipeline to obtain a pipeline network for gas extraction in the coal mine area.

[0106] In specific implementation, in the extraction target area with the highest control priority, the secondary extraction pipeline is laid out according to the corresponding optimal control spacing by the spatial grid division technology. After completing the control of the extraction target area with the highest control priority, the secondary extraction pipeline is laid out in other extraction target areas in descending order of control priority by the spatial grid division technology until all the extraction target areas are controlled; wherein, in the extraction target area with the highest control priority, the secondary extraction pipeline is laid out according to the corresponding optimal control spacing by the spatial grid division technology, that is: the extraction target area is gridded with the optimal control spacing as the radius of the circumscribed circle of the grid unit, and the grid center point obtained by the division is used as the layout point of the secondary extraction pipeline for layout, thereby completing the layout of the secondary extraction pipeline.

[0107] Among them, in some embodiments, connecting all the secondary extraction pipelines after deployment with the primary extraction pipeline to obtain the pipeline network for gas extraction in the coal mine area can be achieved by the following steps, namely:

[0108] Obtain the connection ports of all deployed secondary extraction pipelines and mark the connection points of each secondary extraction pipeline with the primary extraction pipeline;

[0109] The connection ports of each secondary extraction pipeline are connected to the connection points of the corresponding primary extraction pipeline one by one until all secondary extraction pipelines are connected to the primary extraction pipeline, thereby forming a pipeline network for gas extraction in the coal mine area.

[0110] In the specific implementation, first, the connection ports of all the controlled secondary extraction pipelines are obtained, and the connection points of each secondary extraction pipeline and the primary extraction pipeline are marked by the shortest path, for example, the shortest distance between the secondary extraction pipeline and the primary extraction pipeline is calculated by Euclidean distance, and the corresponding position point is used as the connection point; then, the connection port of each secondary extraction pipeline is connected to the connection point of the corresponding primary extraction pipeline one by one until all secondary extraction pipelines are connected to the primary extraction pipeline, so as to form a pipeline network for gas extraction in the coal mine area.

[0111] It should be noted that the pipeline network in this application represents a pipeline structure composed of primary extraction pipelines and secondary extraction pipelines. By determining the pipeline network, the overall layout of the gas extraction system can be optimized to ensure that the gas in all extraction target areas can be efficiently gathered and transported to the primary extraction pipeline, thereby improving the extraction efficiency and stability. In addition, the determination of the pipeline network can also optimize the extraction negative pressure distribution, reduce local pressure losses, and ensure balanced gas extraction in various areas.

[0112] In step 105, gas extraction is performed in the coal mine area based on the pipeline network.

[0113] In specific implementation, gas extraction in the coal mine area is carried out based on the pipeline network, that is: negative pressure is applied to the primary extraction pipeline in the pipeline network through extraction negative pressure, so that the gas converges along the secondary extraction pipeline to the primary extraction pipeline, forming a stable gas flow path, and then the gas in the coal mine area is extracted.

[0114] It should be noted that the secondary extraction pipelines in each extraction target area in the pipeline network can maximize the coverage of coal seam gas-rich areas and improve extraction efficiency based on the synergistic effect of layout priority and optimal layout spacing.

[0115] In addition, in another aspect of the present application, in some embodiments, the present application provides a coal mine gas control system, the system includes a gas extraction unit, reference Figure 4 , which is a schematic diagram of the structure of a gas extraction unit according to some embodiments of the present application, the gas extraction unit 200 includes: an acquisition module 201, a processing module 202 and an execution module 203, which are described as follows:

[0116] Acquisition module 201, in the present application, the acquisition module 201 is mainly used to drill a coal mine area where gas is to be extracted according to a preset primary drilling path, and to obtain pore distribution data of the inner wall of the borehole in the primary drilling path;

[0117] Processing module 202, in the present application, the processing module 202 is mainly used to determine the pore distribution gradient at different positions of the borehole inner wall according to the pore distribution data, and then divide the primary borehole path into multiple extraction target areas during gas extraction based on the pore distribution gradient at different positions combined with the action characteristics of the extraction negative pressure during extraction of the primary extraction pipeline;

[0118] The processing module 202 is further used to determine the density entropy of the inner wall pores in each extraction target area, and determine the optimal control spacing and control priority when each extraction target area is controlled by the density entropy of the inner wall pores in each extraction target area combined with the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline;

[0119] In addition, the processing module 202 is also used to control the secondary extraction pipeline according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, so as to obtain the pipeline network when gas extraction is performed in the coal mine area;

[0120] Execution module 203, in the present application, the execution module 203 is mainly used for gas extraction in the coal mine area based on the pipeline network.

[0121] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned coal mine gas extraction method.

[0122] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a coal mine gas extraction method according to some embodiments of the present application. The coal mine gas extraction method in the above embodiment can be Figure 5 The computer device 300 shown in the figure is implemented, and the computer device 300 includes at least one processor 301, a communication bus 302, a memory 303 and at least one communication interface 304.

[0123] The processor 301 may be a general-purpose central processing unit (CPU), or an application-specific integrated circuit (ASIC) or one or more processors for controlling the execution of the coal mine gas extraction method in the present application.

[0124] The communication bus 302 may be used to transmit information between the above-mentioned components.

[0125] The memory 303 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 303 may exist independently and be connected to the processor 301 via the communication bus 302. The memory 303 may also be integrated with the processor 301.

[0126] The memory 303 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the program code stored in the memory 303. The program code may include one or more software modules. The determination of the coal mine gas extraction method in the above embodiment can be implemented by the processor 301 and one or more software modules in the program code in the memory 303.

[0127] The communication interface 304 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0128] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0129] The above-mentioned computer device can be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0130] In addition, the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the above-mentioned coal mine gas extraction method is implemented.

[0131] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0132] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A coal mine gas extraction method, used for coal mine gas control system to perform gas extraction control, characterized in that: The method comprises the following steps: Drilling a hole in the coal mine area where gas is to be extracted according to a preset primary drilling path, and obtaining pore distribution data of the inner wall of the borehole in the primary drilling path; Determine the pore distribution gradient at different positions of the borehole inner wall according to the pore distribution data, and then divide the primary borehole path into multiple extraction target areas during gas extraction based on the pore distribution gradient at different positions and the effect characteristics of the extraction negative pressure during extraction of the primary extraction pipeline; Determine the density entropy of the inner wall pores in each extraction target area, and determine the optimal control spacing and control priority when each extraction target area is controlled by the density entropy of the inner wall pores in each extraction target area combined with the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline; The secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, thereby obtaining the pipeline network for gas extraction in the coal mine area; Gas extraction in the coal mine area is performed based on the pipeline network.

2. The method according to claim 1, characterized in that Determining the pore distribution gradient at different positions of the borehole inner wall according to the pore distribution data specifically includes: Extracting pore characteristic maps at different positions of the pore inner wall from the pore distribution data; Extracting multi-dimensional features of inner wall pores from the pore feature map at each position to obtain a pore feature vector corresponding to each position; Constructing an inner wall pore characteristic matrix of the inner wall of the borehole according to all pore characteristic vectors; The inner wall pore characteristic matrix is ​​subjected to gradient calculation to obtain the pore distribution gradient at different positions of the inner wall of the borehole.

3. The method according to claim 1, characterized in that Based on the pore distribution gradient at different positions and the effect characteristics of the negative pressure during gas extraction in the primary extraction pipeline, the primary drilling path is divided into multiple extraction target areas during gas extraction, specifically including: Acquire historical action radius information of the negative pressure of the primary extraction pipeline during the extraction process; Determining the action characteristics of the negative pressure during extraction of the primary extraction pipeline according to the historical action radius information; Cluster analysis is performed on the pore distribution gradient at each position to obtain multiple pore distribution gradient clusters; The primary drilling path is divided into a plurality of extraction target areas by all pore distribution gradient clusters and the action characteristics.

4. The method according to claim 1, characterized in that Determining the density entropy of the inner wall pores in each extraction target area specifically includes: Obtaining pore characteristic maps corresponding to each extraction target area; Selecting a sampling target area as the selected sampling target area, and extracting all pore pixel points in the pore characteristic map corresponding to the selected sampling target area; Determine the pixel distribution ratio corresponding to each different pore pixel point; Determine the density entropy of the inner wall pores in the selected extraction target area according to the pixel distribution ratio corresponding to each different pore pixel point; Continue to determine the density entropy of the inner wall pores in the remaining extraction target area.

5. The method according to claim 1, characterized in that The secondary extraction pipeline is controlled according to the optimal control spacing corresponding to each extraction target area through the control priority corresponding to each extraction target area, so as to obtain the pipeline network for gas extraction in the coal mine area, which specifically includes: In the extraction target area with the highest control priority, the secondary extraction pipelines are laid out according to the corresponding optimal control spacing; After completing the control of the extraction target area with the highest control priority, the secondary extraction pipeline control is carried out on other extraction target areas in descending order of control priority until all extraction target areas are controlled; All the secondary extraction pipelines after deployment are connected to the primary extraction pipeline to obtain a pipeline network for gas extraction in the coal mine area.

6. The method according to claim 5, characterized in that All the secondary drainage pipelines after the control are connected with the primary drainage pipeline to obtain the pipeline network for gas drainage in the coal mine area, which specifically includes: Obtain the connection ports of all deployed secondary extraction pipelines and mark the connection points of each secondary extraction pipeline with the primary extraction pipeline; The connection ports of each secondary extraction pipeline are connected to the connection points of the corresponding primary extraction pipeline one by one until all secondary extraction pipelines are connected to the primary extraction pipeline, thereby forming a pipeline network for gas extraction in the coal mine area.

7. The method according to claim 1, characterized in that The pore distribution data includes a plurality of pore characteristic maps.

8. A coal mine gas control system, comprising a gas extraction unit, characterized in that: The gas extraction unit comprises: An acquisition module, used to drill a coal mine area where gas is to be extracted according to a preset primary drilling path, and to acquire pore distribution data of the inner wall of the borehole in the primary drilling path; A processing module, for determining the pore distribution gradients at different positions of the borehole inner wall according to the pore distribution data, and then dividing the primary borehole path into a plurality of drainage target areas during gas drainage based on the pore distribution gradients at different positions combined with the action characteristics of the drainage negative pressure during drainage of the primary drainage pipeline; The processing module is further used to determine the density entropy of the inner wall pores in each extraction target area, and determine the optimal control spacing and control priority when each extraction target area is controlled by the density entropy of the inner wall pores in each extraction target area combined with the influence radius of the extraction negative pressure during extraction of the secondary extraction pipeline; The processing module is further used to arrange the secondary extraction pipeline according to the optimal arrangement spacing corresponding to each extraction target area through the arrangement priority corresponding to each extraction target area, so as to obtain the pipeline network when gas extraction is performed in the coal mine area; An execution module is used to perform gas extraction in the coal mine area based on the pipeline network.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the coal mine gas extraction method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the coal mine gas extraction method as described in any one of claims 1 to 7 is implemented.

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