Generation and distribution method and system for coal mine gas inspection task

Abstract

The invention provides a coal mine gas inspection task generation and distribution method and system, and relates to the technical field of coal mine safety management. The method specifically comprises the following steps: acquiring coal mine geologic structure distribution data and coal mine gas real-time concentration distribution data, and carrying out spatial topology simulation analysis and gas distribution matching to obtain a coal mine gas real-time distribution simulation space; performing wind power distribution detection and wind stopping area division processing on the coal mine to obtain a coal mine gas distribution space fixed wind stopping area and a coal mine gas distribution space temporary wind stopping area; and performing zoned gas leakage hot spot analysis and inspection task generation processing on the coal mine gas distribution space fixed blowing-out area and the coal mine gas distribution space temporary blowing-out area, and performing inspection capability detection and inspection task distribution processing to obtain a coal mine gas inspection task distribution result. According to the invention, the gas inspection efficiency and safety are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine safety management, and in particular to a method and system for generating and distributing coal mine gas inspection tasks. Background Art

[0002] Coal mine gas is a dangerous gas in coal mine production, posing a potential threat to the safety of miners and equipment. In order to promptly detect and deal with safety hazards such as gas leaks, regular gas inspection tasks are required to ensure coal mine production safety. However, the traditional generation and distribution of gas inspection tasks are usually completed manually by coal mine inspection managers, which is inefficient and difficult to respond in time. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention proposes a method and system for generating and distributing coal mine gas inspection tasks, aiming to improve the efficiency and safety of gas inspection.

[0004] The first aspect of the present invention provides a method for generating and distributing coal mine gas inspection tasks, the method comprising the following steps:

[0005] Step S1: obtaining coal mine geological structure distribution data, and performing spatial topological simulation analysis on the coal mine geological structure distribution data to obtain a coal mine geological structure simulation space;

[0006] Step S2: acquiring real-time coal mine gas concentration distribution data, and performing gas distribution matching on the coal mine geological structure simulation space according to the real-time coal mine gas concentration distribution data to obtain the coal mine gas real-time distribution simulation space;

[0007] Step S3: obtaining wind distribution information data of the coal mine, and dividing the coal mine gas real-time distribution simulation space into wind stop areas, to obtain fixed wind stop areas of the coal mine gas distribution space and temporary wind stop areas of the coal mine gas distribution space;

[0008] Step S4: performing a zoned gas leakage hotspot analysis on the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, respectively, to obtain a coal mine gas leakage hotspot set;

[0009] Step S5: respectively formulate inspection tasks for each gas leakage hotspot in the coal mine gas leakage hotspot concentration, and generate a coal mine gas inspection task list; wherein the inspection tasks include: the location of the gas leakage hotspot, the inspection frequency, the model and quantity of coal mine inspection machines required when inspecting the gas leakage hotspot, and the inspection requirements when inspecting the gas leakage hotspot;

[0010] Step S6: acquiring historical inspection information data of the coal mine inspection machine and inspection arrival distance data of the coal mine inspection machine, and performing inspection capability detection on the coal mine inspection machine to obtain the inspection capability level of the coal mine inspection machine;

[0011] Step S7: assigning a number of coal mine inspection machines to each inspection task in the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine, and obtaining a coal mine gas inspection task distribution result;

[0012] The step S1 further comprises:

[0013] Step S11: using a geological radar sensor to detect the geological structure distribution of the coal mine, and obtaining the geological structure distribution data of the coal mine;

[0014] Step S12: cleaning the coal mine geological structure distribution data, and using a data mining algorithm to perform cluster analysis on the cleaned coal mine geological structure distribution data, and then using a geostatistical method to perform feature analysis on the geological characteristics and spatial distribution relationship of different geological structures in the coal mine obtained by cluster analysis, to obtain coal mine geological structure feature data;

[0015] Step S13: constructing a mine geological structure distribution space model according to the coal mine geological structure distribution data, and based on the mine geological structure distribution space model, using an automated feature point extraction algorithm to collect feature points of the coal mine geological structure feature data to obtain a coal mine geological structure feature point set;

[0016] Step S14: using a spatial topology analysis method to perform spatial connection topology analysis on the geological structure distribution data of the coal mine, and obtaining a spatial connection topology relationship of the geological structure of the coal mine;

[0017] Step S15: performing simulation mapping analysis on the characteristic point set of the coal mine geological structure according to the spatial connection topological relationship of the coal mine geological structure to obtain a simulation space of the coal mine geological structure;

[0018] The step S2 further comprises:

[0019] Step S21: using a gas concentration monitoring sensor to monitor the gas in the coal mine in real time, and using a linear regression method to fit and calibrate the gas concentration data, and then using signal processing technology to denoise the calibrated gas concentration data, and using an outlier detection algorithm to remove outliers from the denoised gas concentration data, to obtain real-time gas concentration distribution data of the coal mine;

[0020] Step S22: Analyze the gas location and flow characteristics of the real-time concentration distribution data of coal mine gas to obtain coal mine gas distribution location characteristic data and coal mine gas flow characteristic data;

[0021] Step S23: establishing a geographic space three-dimensional coordinate system for representing the gas distribution position, and marking the coal mine gas distribution position characteristic data on the coordinate system, obtaining a number of gas distribution space position coordinates, matching the coal mine gas real-time concentration distribution data with the gas distribution space position coordinates, obtaining a number of gas position characteristic points and constructing a coal mine gas position characteristic point set;

[0022] Step S24: extracting a number of flow feature points from the coal mine gas flow feature data using a fluid mechanics simulation tool, and matching the extracted flow feature points with the coal mine gas real-time concentration distribution data to obtain a number of gas flow feature points and construct a coal mine gas flow feature point set;

[0023] Step S25: using a dynamic fusion method to fuse the gas position feature points in the coal mine gas position feature point set and the gas flow feature points in the coal mine gas flow feature point set, generating dynamic feature process points of gas diffusion and constructing a coal mine gas diffusion dynamic distribution feature point set;

[0024] Step S26: performing gas distribution matching on the coal mine gas diffusion dynamic distribution feature point set and the coal mine geological structure feature point set in the coal mine geological structure simulation space to obtain the coal mine gas real-time distribution simulation space;

[0025] The step S3 further comprises:

[0026] Step S31: using wind force detection equipment to detect wind force distribution in the coal mine, and obtaining wind force distribution information data of the coal mine, including: wind speed range and wind direction range at different positions in the coal mine;

[0027] Step S32: simulating the wind flow in the coal mine in the coal mine gas real-time distribution simulation space according to the coal mine wind distribution information data to generate a coal mine gas simulation space wind distribution area;

[0028] Step S33: for any position in the wind distribution area of ​​the coal mine gas simulation space, use the regional wind stop degree calculation formula to calculate the wind stop degree value of the position, and then obtain the wind stop degree value of each position in the wind distribution area of ​​the coal mine gas simulation space;

[0029] Step S34: Compare the preset regional wind stop degree threshold with the wind stop degree value of each position in the wind distribution area of ​​the coal mine gas simulation space, and divide each position into a fixed wind stop area or a temporary wind stop area according to the comparison result, so as to obtain the fixed wind stop area of ​​the coal mine gas distribution space and the temporary wind stop area of ​​the coal mine gas distribution space;

[0030] The method for dividing each position into a fixed wind stop area or a temporary wind stop area according to the comparison result is as follows: for any position in the wind force distribution area of ​​the coal mine gas simulation space, when the wind stop degree value of the position is greater than or equal to the preset regional wind stop degree threshold, the position is marked as a fixed wind stop area, and the fixed wind stop area of ​​the coal mine gas distribution space is constructed according to all marked fixed wind stop areas; when the wind stop degree value of the position is less than the preset regional wind stop degree threshold, the position is marked as a temporary wind stop area, and the temporary wind stop area of ​​the coal mine gas distribution space is constructed according to all marked temporary wind stop areas;

[0031] The calculation formula for the wind stop degree in the area in step S33 is:

[0032]

[0033] Where R st is the wind stop degree value at any position in the coal mine gas simulation space wind distribution area; A is the spatial range parameter of the coal mine gas simulation space wind distribution area; α is the wind speed influence coefficient; x is the spatial horizontal coordinate parameter of any position in the coal mine gas simulation space wind distribution area; y is the spatial vertical coordinate parameter of any position in the coal mine gas simulation space wind distribution area; V w (x,y) is the wind speed parameter at (x,y); β is the terrain complexity influence coefficient; γ(x,y) is the terrain complexity measurement parameter at (x,y); δ is the ventilation adjustment factor of the coal mine layout; η(x,y) is the environmental ventilation degree measurement parameter at (x,y); θ is the environmental ventilation influence coefficient; e is a natural constant; μ(x,y) is the wind position vector measurement parameter at (x,y); v(x,y) is the wind flow divergence measurement parameter at (x,y); ξ is the wind flow influence coefficient; ε is the correction value of the wind stop degree value in the simulated spatial wind distribution area;

[0034] The step S4 further comprises:

[0035] Step S41: marking gas concentration inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, respectively, to obtain gas inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the coal mine;

[0036] The method for marking gas concentration inspection points for the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine is as follows: for any one of the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, a regional gas concentration distribution flow map of the region is generated according to the coal mine geological structure characteristic points and the coal mine gas diffusion dynamic distribution characteristic points of the region, and the position where gas accumulation appears in the regional gas concentration distribution flow map is marked as the inspection point of the region;

[0037] Step S42: using a temperature sampling device and a humidity sampling device to perform temperature sampling and humidity sampling at the gas inspection points in the fixed ventilation stop area of ​​the coal mine, respectively, to obtain temperature data of the inspection points in the fixed ventilation stop area and humidity data of the inspection points in the fixed ventilation stop area;

[0038] Step S43: Based on the temperature data of the inspection points in the fixed ventilation area and the humidity data of the inspection points in the fixed ventilation area, the gas leakage risk level value of the gas inspection points in the fixed ventilation area of ​​each coal mine is calculated using the fixed ventilation area gas leakage risk level calculation formula;

[0039] Step S44: respectively comparing the gas leakage risk level value of each gas inspection point in the fixed ventilation stop area of ​​each coal mine with the preset fixed ventilation stop area gas leakage risk threshold value; if the gas leakage risk level value of the gas inspection point in the fixed ventilation stop area of ​​the coal mine is greater than or equal to the fixed ventilation stop area gas leakage risk threshold value, then the gas inspection point in the fixed ventilation stop area of ​​the coal mine is regarded as a fixed ventilation stop area gas inspection leakage hotspot and marked; otherwise, the gas inspection point in the fixed ventilation stop area of ​​the coal mine is not marked;

[0040] Step S45: using wind speed monitoring equipment and coal seam gap monitoring equipment to perform wind speed sampling and coal seam gap sampling at gas inspection points in the temporary ventilation stop area of ​​the coal mine, respectively, to obtain wind speed data of the inspection points in the temporary ventilation stop area and coal seam gap data of the inspection points in the temporary ventilation stop area;

[0041] Step S46: Based on the wind speed data of the inspection points in the temporary ventilation stop area and the coal seam gap data of the inspection points in the temporary ventilation stop area, the gas leakage risk level value of the gas inspection points in the temporary ventilation stop area of ​​each coal mine is calculated using the calculation formula for the gas leakage risk level of the temporary ventilation stop area;

[0042] Step S47: Compare the gas leakage risk level value of each coal mine temporary ventilation area inspection point with the preset temporary ventilation area gas leakage risk threshold value. If the gas leakage risk level value of the coal mine temporary ventilation area inspection point is greater than or equal to the temporary ventilation area gas leakage risk threshold value, then the coal mine temporary ventilation area inspection point is used as a temporary ventilation area gas inspection leakage hotspot and marked; otherwise, the coal mine temporary ventilation area inspection point is not marked;

[0043] Step S48: merging all gas inspection leakage hotspots in fixed ventilation stop areas and all gas inspection leakage hotspots in temporary ventilation stop areas to obtain a coal mine gas leakage hotspot set;

[0044] The calculation formula for the gas leakage risk level in the fixed ventilation stop area in step S43 is:

[0045]

[0046]

[0047] where F g is the gas leakage risk value of the inspection point in the fixed ventilation stop area of ​​the coal mine; t1 is the starting time of the calculation of the gas leakage risk level in the fixed ventilation stop area; t2 is the end time of the calculation of the gas leakage risk level in the fixed ventilation stop area; t is the time variable parameter of the calculation of the gas leakage risk level in the fixed ventilation stop area; σ T is the standard deviation of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; T(t) is the temperature parameter of the gas inspection point in the fixed ventilation stop area of ​​the coal mine at time t; T0 is the mean value of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; σ H is the standard deviation of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; H(t) is the humidity parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine at time t; H0 is the mean value of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; ρ1 is the gas concentration parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine; P(T(t),H(t)) is the gas diffusion pressure function of the inspection points in the fixed ventilation stop area of ​​the coal mine; is the correction coefficient of the gas leakage risk value of the inspection point in the fixed ventilation stop area of ​​the coal mine; k is the gas diffusion coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; n is the gas molar coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; C is the gas constant of the inspection point in the fixed ventilation stop area of ​​the coal mine; b is the measurement parameter of the repulsion between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine; a is the measurement parameter of the attraction between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine;

[0048] The calculation formula for the gas leakage risk level in the temporary ventilation stop area in step S46 is:

[0049]

[0050] where F l is the gas leakage risk value of the inspection point in the temporary ventilation stop area; τ1 is the starting time of the calculation of the gas leakage risk level in the temporary ventilation stop area; τ2 is the end time of the calculation of the gas leakage risk level in the temporary ventilation stop area; τ is the time variable parameter for the calculation of the gas leakage risk level in the temporary ventilation stop area; ρ2 is the gas concentration parameter of the gas inspection point in the temporary ventilation stop area of ​​the coal mine; ω1 is the wind speed influence weight parameter of the inspection point in the temporary ventilation stop area of ​​the coal mine; E(τ) is the wind speed data of the inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ E is the standard deviation of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; E0 is the mean of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; ω2 is the coal seam gap influence weight parameter of the inspection points in the temporary ventilation stop area of ​​the coal mine; G(τ) is the coal seam gap data of the gas inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ G is the standard deviation of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; G0 is the mean value of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; It is the correction coefficient of the gas leakage risk level value at the inspection point in the temporary ventilation stop area;

[0051] The step S6 further comprises:

[0052] Step S61: acquiring historical inspection information data of the coal mine inspection machine, and respectively calculating the distance between the coal mine inspection machine and each gas leakage hotspot, to obtain the inspection arrival distance data of the coal mine inspection machine;

[0053] Step S62: acquiring average inspection estimated time and inspection working frequency data of the coal mine inspection machine according to historical inspection information data of the coal mine inspection machine, and evaluating the inspection efficiency of the coal mine inspection machine according to the average inspection estimated time and inspection working frequency data;

[0054] Step S63: Counting the inspection completion probability of the coal mine inspection machine according to the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine;

[0055] Step S64: Based on the inspection efficiency of the coal mine inspection machine and the inspection completion probability of the coal mine inspection machine, a weight factor is set, and a weighted algorithm is used to calculate the inspection capability level of the coal mine inspection machine.

[0056] The second aspect of the present invention proposes a generation and distribution system for coal mine gas inspection tasks, comprising: the system comprises: a coal mine gas real-time distribution space simulation module, a coal mine shaft ventilation stop area division module, a coal mine gas leakage inspection task generation module and a coal mine gas inspection task distribution module;

[0057] The coal mine gas real-time distribution space simulation module is used to obtain coal mine geological structure distribution data and coal mine gas real-time concentration distribution data, and perform network topology simulation analysis on the coal mine geological structure distribution data to obtain the coal mine geological structure simulation space, and then perform gas distribution matching on the coal mine geological structure simulation space according to the coal mine gas real-time concentration distribution data to obtain the coal mine gas real-time distribution simulation space and send it to the coal mine ventilation stop area division module;

[0058] The coal mine wind stop area division module is used to detect the wind distribution of the coal mine, obtain the wind distribution information data of the coal mine, and divide the wind stop area of ​​the coal mine gas real-time distribution simulation space based on the wind distribution information data of the coal mine, obtain the fixed wind stop area of ​​the coal mine gas distribution space and the temporary wind stop area of ​​the coal mine gas distribution space, and send them to the coal mine gas leakage inspection task generation module;

[0059] The coal mine gas leakage inspection task generation module is used to perform zoned gas leakage hot spot analysis on the fixed ventilation stop area of ​​the coal mine gas distribution space and the temporary ventilation stop area of ​​the coal mine gas distribution space, obtain the coal mine gas leakage hot spot set, and generate inspection tasks according to the coal mine gas leakage hot spot set, obtain the coal mine gas inspection task list and send it to the coal mine gas inspection task distribution module;

[0060] The coal mine gas inspection task distribution module is used to obtain the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and detect the inspection capability level of the coal mine inspection machine based on the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and then distribute the inspection tasks for the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine to obtain the coal mine gas inspection task distribution result.

[0061] The beneficial effects of adopting the above technical solution are:

[0062] The method of the present invention uses geological radar sensors and gas concentration monitoring sensors to detect coal mines, which can accurately survey the geological structure distribution inside the mine and the gas concentration distribution in the coal mine space, thereby providing an important data basis for subsequent mine safety assessment and geological space simulation processes.

[0063] The method of the present invention performs spatial topological simulation analysis on the geological structure distribution data of coal mines in combination with the geological structure characteristics of coal mines, and can transform abstract geological structure data into a visual simulation space, thereby providing more intuitive mine geological structure information, which helps inspection managers to better understand the impact of geological structure on mine safety and gas inspection processes.

[0064] The method of the present invention also matches the gas distribution in the geological structure simulation space of the coal mine according to the real-time gas concentration distribution data of the coal mine. The key lies in that the position distribution of the real-time gas concentration data can be matched with the position of the geological structure simulation space, thereby realizing dynamic monitoring and simulation of the gas distribution in the geological structure simulation space. This helps to timely discover gas accumulation areas, give early warning of gas hazards, and further strengthen the safety management system of coal mines.

[0065] The method of the present invention obtains coal mine wind distribution information data through wind distribution detection, and divides the coal mine gas real-time distribution simulation space into wind stop areas based on this data, so as to realize quantitative analysis of the wind stop degree of the wind distribution area in the gas simulation space, and can also accurately divide the wind distribution area into fixed wind stop areas and temporary wind stop areas, thereby providing an important reference basis for subsequent processing processes, and taking corresponding inspection task generation measures in time to prevent gas leakage accidents and ensure the safety and stability of coal mine operations.

[0066] The method of the present invention obtains a coal mine gas leakage hotspot set by performing zoned gas leakage hotspot analysis on fixed ventilation stop areas and temporary ventilation stop areas, and can quickly locate potential gas leakage hotspots, thereby providing a clear target for subsequent inspection task generation.

[0067] By acquiring the historical inspection information data of the coal mine inspection machine, the method of the present invention can understand the key information such as the operation status, inspection route and inspection time of the coal mine inspection machine, and provide data support for the subsequent efficiency evaluation and capacity detection. At the same time, by acquiring the arrival distance data, the method of the present invention can evaluate the range that the inspection machine can cover within a certain period of time, which helps to determine the effective working range of the inspection machine; by performing inspection capacity detection on the historical inspection information data and arrival distance data of the coal mine inspection machine, the working efficiency and completion probability of the inspection machine can be comprehensively considered, and its inspection capacity level can also be objectively evaluated, providing a reference basis for further optimizing the inspection task allocation and improving the inspection efficiency.

[0068] In addition, the method of the present invention also distributes tasks on the coal mine gas inspection task list according to the inspection capability level data of the inspection machine. It can reasonably allocate inspection tasks according to the capability level of the inspection machine, make full use of resources, optimize inspection plans, improve inspection efficiency, and ensure safe production in coal mines, thereby improving the efficiency of gas inspections and the timely response process to gas leaks.

[0069] The system of the present invention is composed of a coal mine gas real-time distribution space simulation module, a coal mine shaft ventilation stop area division module, a coal mine gas leakage inspection task generation module and a coal mine gas inspection task distribution module. By combining the operations between the computer programs running on each module, a method for generating and distributing coal mine gas inspection tasks can be effectively realized. The internal structures of the system of the present invention cooperate with each other, greatly reducing duplication of work and manpower input, and can quickly and effectively provide a more accurate and efficient gas inspection task generation and distribution process, thereby simplifying the operation process of the coal mine gas inspection task generation and distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 This is a flow chart of a method for generating and distributing coal mine gas inspection tasks in this implementation mode;

[0071] Figure 2 A flowchart of constructing a coal mine geological structure simulation space in this implementation method;

[0072] Figure 3 A flowchart of constructing a real-time distribution simulation space of coal mine gas in this embodiment;

[0073] Figure 4 It is a structural schematic diagram of a system for generating and distributing coal mine gas inspection tasks in this embodiment. DETAILED DESCRIPTION

[0074] In order to facilitate the understanding of the present application, the specific embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thoroughly understood.

[0075] A method for generating and distributing coal mine gas inspection tasks in this embodiment is as follows: Figure 1 As shown, the method comprises the following steps:

[0076] Step S1: Acquire the geological structure distribution data of the coal mine, and perform spatial topological simulation analysis on the geological structure distribution data of the coal mine to obtain the geological structure simulation space of the coal mine.

[0077] Step S11: Use a geological radar sensor to detect the geological structure distribution of the coal mine to obtain the geological structure distribution data of the coal mine.

[0078] The coal mine geological structure distribution data includes: the spatial distribution of coal seams, the spatial distribution of rock strata, and the spatial distribution of faults.

[0079] In this embodiment, if Figure 2 As shown, by using geological radar sensors to scan coal mines and detect the distribution of geological structures, the high-precision geological radar detection technology can accurately survey the distribution of geological structures inside the mines. The application of geological radar sensors can provide detailed geological structure data, including the spatial distribution of coal seams, rock strata, faults, etc., thereby obtaining the geological structure distribution data of coal mines, which provides an important data basis for mine safety assessment and geological space simulation process.

[0080] Step S12: Clean the geological structure distribution data of the coal mine, and use the data mining algorithm to perform cluster analysis on the cleaned geological structure distribution data of the coal mine, and then use the geostatistical method to perform feature analysis on the geological characteristics and spatial distribution relationship of different geological structures in the coal mine obtained by the cluster analysis to obtain the characteristic data of the geological structure of the coal mine.

[0081] In this embodiment, a simple mathematical characteristic statistical analysis method is used to perform characteristic analysis on the geological structure of a coal mine to extract key coal mine geological structure characteristic data, including coal mine stratigraphic changes, coal seam occurrence, etc., so as to obtain coal mine geological structure characteristic data, which is helpful to understand the coal mine stratigraphic changes, identify the coal seam occurrence, and provide a scientific basis for the subsequent mine structure characteristic point set collection process. Specifically, the collected geological structure distribution data is cleaned and preprocessed, noise data and outliers are removed, and various geological features are classified and clustered using data mining algorithms to identify the geological characteristics of different geological structures and their spatial distribution relationships. Further, using geostatistical methods, combined with known mine mining history, the spatial distribution laws of different geological structures, i.e., various geological characteristics in coal mines are derived, and finally detailed geological structure characteristics are generated, including the structural characteristics of the mine, the distribution of potential ore body stratigraphic changes, and coal seam distribution.

[0082] Step S13: construct a mine geological structure distribution spatial model according to the coal mine geological structure distribution data, and based on the mine geological structure distribution spatial model, use an automated feature point extraction algorithm to collect feature points of the coal mine geological structure feature data to obtain a coal mine geological structure feature point set.

[0083] In this embodiment, a corresponding mine geological structure distribution spatial model is constructed by combining the geological structure distribution in the coal mine geological structure distribution data, and an automated feature point extraction algorithm is used in combination with the spatial model to collect key feature points of the coal mine geological structure characteristic data obtained by previous analysis, so as to further extract representative key feature points, such as: main faults, coal seam distribution and potential gas accumulation areas. The selection basis of the feature points includes geometric features and spatial distribution features within the mine geological structure distribution spatial model, and finally a coal mine geological structure feature point set is obtained, which helps to simplify the data processing process, reduce redundant information, and improve the efficiency and accuracy of subsequent analysis, thereby providing data support for the subsequent coal mine simulation space construction process.

[0084] Step S14: using a spatial topology analysis method to perform spatial connection topology analysis on the coal mine geological structure distribution data to obtain the spatial connection topology relationship of the coal mine geological structure.

[0085] In this embodiment, the spatial topological analysis method is used to analyze the geological structure distribution in the coal mine geological structure distribution data, establish the spatial connection relationship between the geological structures, and reveal the interaction between the various geological elements, thereby obtaining the spatial connection topological relationship of the coal mine geological structure, which helps to have a more comprehensive understanding of the geological system and provide a scientific basis for the rational planning of the layout of the mine simulation space.

[0086] Step S15: Simulate and map the characteristic point set of the coal mine geological structure according to the spatial connection topological relationship of the coal mine geological structure to obtain a simulated space of the coal mine geological structure.

[0087] In this embodiment, by combining the geological structure spatial connection relationship in the coal mine geological structure spatial connection topological relationship to simulate and map the coal mine geological structure feature point set, the abstract geological structure feature points are converted into a visual geological structure simulation space to obtain the coal mine geological structure simulation space, which provides more intuitive mine geological structure information and helps inspection management personnel to better understand the impact of geological structure on mine safety and gas inspection process.

[0088] Step S2: obtaining the real-time concentration distribution data of coal mine gas, and matching the coal mine geological structure simulation space with the real-time concentration distribution data of coal mine gas to obtain the real-time distribution simulation space of coal mine gas.

[0089] In this embodiment, if Figure 3As shown in the figure, by analyzing the dynamic position distribution of gas in the real-time concentration distribution data of coal mine gas and matching it with the position of the geological structure simulation space of the coal mine, the dynamic monitoring and simulation of the gas distribution in the geological structure simulation space can be realized, and finally the real-time distribution simulation space of coal mine gas is obtained, which is helpful to timely discover the gas accumulation area, warn of gas danger in advance, and further strengthen the safety management system of coal mines.

[0090] Step S21: Use the gas concentration monitoring sensor to monitor the gas in the coal mine in real time, and use the linear regression method to fit and calibrate the gas concentration data, then use the signal processing technology to denoise the calibrated gas concentration data, and use the outlier detection algorithm to eliminate the outliers in the denoised gas concentration data to obtain the real-time gas concentration distribution data of the coal mine.

[0091] In this embodiment, the coal mine is monitored in real time by using a gas concentration monitoring sensor. Specifically, a high-sensitivity gas sensor is selected as a gas concentration monitoring sensor, which can work stably under different environmental conditions. The gas concentration monitoring sensor is arranged at different positions in the mine to ensure that the entire mine area can be covered, so as to monitor and discover the concentration distribution of gas in the entire coal mine space in real time. The real-time collected gas concentration data is transmitted to the central processing unit through the data acquisition system. In the data processing process, the collected gas concentration data is first calibrated by linear regression fitting to ensure the accuracy of the concentration data changing over time. Subsequently, the data is denoised by using signal processing technology such as wavelet transform to remove errors introduced by environmental interference or equipment noise. At the same time, an outlier detection algorithm such as the Z-score method is used to identify and eliminate abnormal data that does not meet the normal range. After the above processing, high-quality coal mine gas real-time concentration distribution data is obtained, thereby providing data support for subsequent processing processes.

[0092] Step S22: Analyze the gas position and flow characteristics of the real-time coal mine gas concentration distribution data to obtain coal mine gas distribution position characteristic data and coal mine gas flow characteristic data.

[0093] The method for analyzing the gas location and flow characteristics of the real-time concentration distribution data of coal mine gas is as follows: using a geographic information system to integrate the coal mine geological structure distribution data and the coal mine gas real-time concentration distribution data, and based on the integrated coal mine gas distribution data, using a flow analysis model to simulate the distribution location characteristics and flow characteristics of gas in the coal mine, so as to obtain the coal mine gas distribution location characteristic data and the coal mine gas flow characteristic data according to the simulation results.

[0094] In this embodiment, a mathematical statistical analysis method is used to analyze the gas position and flow characteristics of the real-time concentration distribution data of coal mine gas, that is, the processed real-time concentration distribution data of coal mine gas is analyzed for gas position and flow characteristics. First, the geographic data and gas concentration data of the mine are integrated using Geographic Information System (GIS) software, and a spatial analysis tool is used to generate a spatial interpolation map of gas concentration distribution. On this basis, a flow analysis model, such as Finite Element Analysis (FEA), is used to simulate the flow path and dynamic behavior of gas in the mine. Combined with the physical parameters of the underground environment such as pressure and temperature, a gas diffusion model is established to extract the distribution position characteristics and flow characteristics of gas in space, including the distribution position characteristics such as the position of the high concentration area and the position of the low concentration area, and the flow characteristics such as the flow channel and flow direction of the gas. By deeply analyzing the position distribution of gas in the mine and the gas flow characteristics, the gas accumulation area and flow direction can be accurately grasped, and the coal mine gas distribution position characteristic data and coal mine gas flow characteristic data can be obtained.

[0095] Step S23: Establish a geographic space three-dimensional coordinate system for representing the gas distribution location, and mark the coal mine gas distribution location feature data on the coordinate system to obtain a number of gas distribution space location coordinates, match the coal mine gas real-time concentration distribution data with the gas distribution space location coordinates, obtain a number of gas location feature points and construct a coal mine gas location feature point set.

[0096] In this embodiment, firstly, a geographic spatial three-dimensional coordinate system of the gas distribution location is constructed according to the previously analyzed coal mine gas distribution location characteristics, that is, a spatial analysis tool is used to generate a spatial position interpolation spatial coordinate system of the gas concentration distribution, which includes the location coordinates of each gas distribution, and the concentration distribution is matched at the corresponding coordinate position according to the real-time gas concentration distribution in the coal mine gas real-time concentration distribution data, so as to extract representative gas concentration accumulation location feature points and perform aggregation processing, that is, the gas distribution spatial location coordinates and the gas concentration distribution at the coordinates are formed into gas location feature points, and all the gas location feature points are aggregated into a set, and finally a coal mine gas location feature point set is obtained, which helps to simplify the data structure and reduce information redundancy, thereby providing efficient data support for subsequent analysis and decision-making.

[0097] Step S24: extracting a number of flow feature points from the coal mine gas flow feature data using a fluid mechanics simulation tool, and matching the extracted flow feature points with the coal mine gas real-time concentration distribution data to obtain a number of gas flow feature points and construct a coal mine gas flow feature point set.

[0098] In this embodiment, the flow feature point set matching is implemented for the real-time concentration distribution data and flow feature data of coal mine gas. First, a mathematical model of flow characteristics is established, taking into account the flow velocity, flow rate and flow direction of gas, and using fluid mechanics simulation tools and numerical calculation methods to simulate the dynamic characteristics of gas flow, extract the key feature points of gas flow accumulation in the mine, such as flow peak and flow turning point, and perform aggregation processing; then, these flow feature points are matched with the corresponding real-time concentration distribution to obtain several gas flows, thereby ensuring the consistency of the feature points in timeliness and space and revealing the diffusion law and dynamic change trend of gas. Finally, all gas flow feature points are integrated to form a complete coal mine gas flow feature point set.

[0099] Step S25: adopting a dynamic fusion method to fuse the gas position feature points in the coal mine gas position feature point set and the gas flow feature points in the coal mine gas flow feature point set, generate dynamic feature process points of gas diffusion and construct a coal mine gas diffusion dynamic distribution feature point set.

[0100] In this embodiment, a dynamic fusion analysis of gas diffusion is performed on the coal mine gas position feature point set and the coal mine gas flow feature point set, and the gas position distribution and flow characteristics are comprehensively considered to simulate the direction and flow trend of gas diffusion in the coal mine. For each gas flow feature point, the gas flow feature point is matched with the gas position feature point to achieve the fusion between the gas flow feature point and the gas position feature point, so as to establish a correspondence between any position P in the coal mine, the position P, the gas concentration at the position P, and the gas flow characteristics at the position P, and generate a dynamic feature process point of gas diffusion according to the correspondence. Then, by deeply exploring the dynamic feature process points of gas diffusion, the dynamic situation of gas diffusion is fully grasped, and the dynamic distribution feature point set of gas diffusion in coal mines is obtained, which is helpful to reveal the diffusion law and dynamic change trend of gas, provide an important reference for preventing gas leakage accidents, and provide a scientific basis for formulating effective gas inspection tasks.

[0101] Step S26: Match the coal mine gas diffusion dynamic distribution feature point set with the coal mine geological structure feature point set in the coal mine geological structure simulation space to obtain the coal mine gas real-time distribution simulation space.

[0102] In this embodiment, by matching the position of the dynamic distribution feature point set of coal mine gas diffusion with the position of the coal mine geological structure feature point set in the coal mine geological structure simulation space, and establishing a mapping relationship between the dynamic distribution feature point set of coal mine gas diffusion and the coal mine geological structure feature point set, accurate mapping of the gas distribution in the geological structure simulation space is achieved, thereby simulating the real-time distribution of gas in the coal mine geological structure simulation space, and obtaining the coal mine gas real-time distribution simulation space.

[0103] Step S3: obtaining wind distribution information data of the coal mine, and dividing the coal mine gas real-time distribution simulation space into wind stop areas, to obtain fixed wind stop areas of the coal mine gas distribution space and temporary wind stop areas of the coal mine gas distribution space;

[0104] Step S31: Use wind force detection equipment to detect wind force distribution in the coal mine to obtain wind force distribution information data of the coal mine, including: wind speed range and wind direction range at different positions in the coal mine.

[0105] In this embodiment, wind detection equipment and data acquisition systems are installed at appropriate locations inside the coal mine and in the surrounding environment, wherein the wind detection equipment includes: anemometers and wind vanes, and the anemometers should be selected to be models that can work stably in the complex environment of the mine, usually ultrasonic anemometers, which can measure wind speed and wind direction in real time, and the data acquisition system needs to be connected to the wind detection equipment to ensure that the acquired data can be transmitted to the central processing unit at a high frequency, such as once per second, so as to detect and record the distribution of wind speed and wind direction at different locations in the coal mine, and obtain wind distribution information data of the coal mine, including the specific distribution range of wind speed and wind direction at different locations in the mine. The monitored wind distribution information data of the coal mine is crucial to the ventilation management of the mine, which can help miners understand the airflow conditions inside the mine, help to ensure the safe working environment of the miners, and also provide data guarantee for the subsequent wind stop area detection process.

[0106] Step S32: simulating the wind flow in the coal mine in the coal mine gas real-time distribution simulation space according to the coal mine wind distribution information data, and generating a coal mine gas simulation space wind distribution area.

[0107] In this embodiment, the position distribution corresponding to the wind flow field in the coal mine is matched with the position of the real-time distribution simulation space of the coal mine gas according to the wind distribution information data of the coal mine, and the wind airflow conditions obtained by field detection are combined with the gas distribution simulation space to determine the area in the coal mine gas simulation space that matches the wind flow field, and then the wind distribution in the mine is analyzed, and finally the wind distribution area of ​​the coal mine gas simulation space is obtained, which helps to more accurately assess the risk and scope of gas diffusion, so as to accurately analyze the air stop area in the simulation space that is consistent with the actual coal mine space.

[0108] Step S321: collecting and processing the wind speed and wind direction of the coal mine according to the wind force distribution information data of the coal mine, and obtaining the wind force and wind direction data of the coal mine;

[0109] The method for collecting and processing wind speed and wind direction in a coal mine based on wind distribution information data of a coal mine is as follows: according to the wind speed range and wind direction range at different positions in the coal mine, wind speed and wind force detection points are configured at different positions in the coal mine, the original wind speed and original wind direction of each wind force detection point are measured by using wind force detection equipment, and the original wind speed and original wind direction of all wind force detection points are cleaned, outliers are eliminated and denoised, and wind speed data and wind direction data of each wind force detection point are obtained, and the wind direction data of all wind force detection points are used as wind force and direction data of the coal mine, and the average wind speed of each wind force detection point is calculated respectively, and the average wind speed of all wind force detection points is used as the wind force and speed data of the coal mine.

[0110] In this embodiment, the specific distribution range of wind speed and wind direction at different positions in the coal mine is determined according to the wind distribution information data of the coal mine, and the corresponding wind speed and wind monitoring points are configured according to the range, and the specific data in each monitoring point is collected using an anemometer and a wind vane and stored in the central processing unit, and the raw data is cleaned by using data processing software, such as the data analysis library in MATLAB or Python, to remove abnormal values ​​and noise data, and then the average wind speed and wind direction of each monitoring point in the specific distribution range is calculated to form a comprehensive wind speed and wind direction data set. By regularly recording the wind speed and wind direction data at the wind distribution range of the coal mine, the wind speed data and the wind direction data of the coal mine are obtained. Since wind speed and wind direction are important parameters for evaluating the ventilation conditions of the mine, obtaining accurate wind data is helpful to analyze the wind flow field conditions in the coal mine, so that the ventilation conditions inside the mine can be accurately evaluated and analyzed, providing basic data guarantee for the subsequent wind flow field analysis process.

[0111] Step S322: A numerical model is established according to the wind speed data and the wind direction data of the coal mine, and the numerical model is used to simulate the wind flow field in the coal mine to obtain the distribution area of ​​the wind flow field in the coal mine.

[0112] In this embodiment, a numerical model is used to simulate and process the collected coal mine wind speed data and coal mine wind direction data. For example, this embodiment uses a computational fluid dynamics model based on the coal mine wind speed data and coal mine wind direction data to simulate and reveal the distribution and flow characteristics of the wind flow field in the coal mine, and obtain the distribution area of ​​the wind flow field in the coal mine. The distribution and flow characteristics of the wind flow field in the coal mine are of great significance for predicting the gas diffusion path and range in the mine, and are helpful for formulating targeted safety measures and gas prevention and control plans.

[0113] Step S323: Perform wind vector point set sampling processing on the wind flow field distribution area of ​​the coal mine to obtain the coal mine wind distribution vector point set.

[0114] The method for sampling and processing the wind vector point set in the wind flow field distribution area of ​​the coal mine is as follows: a plurality of wind flow sampling points are set in the wind flow field distribution area of ​​the coal mine, and computational fluid dynamics (CFD) software is used to collect the wind speed and wind direction of each wind flow sampling point, and the position coordinates, wind speed and wind direction of each wind flow sampling point are used as the wind distribution vector of the wind flow sampling point, thereby constructing a wind distribution vector point set.

[0115] In this embodiment, after the wind flow field distribution area is completed, the wind vector point set sampling process is performed. By sampling the wind flow field distribution area of ​​the coal mine, the location of the corresponding wind flow sampling point is determined, and the wind vector sampling process is performed at each wind flow sampling point. A representative wind vector point set is extracted through sampling, so that the distribution of wind in the mine can be described more accurately, and finally the coal mine wind distribution vector point set is obtained, providing reliable data support for gas diffusion simulation and safety assessment. Specifically, a group of representative wind flow sampling points are selected in the wind flow field distribution area of ​​the coal mine. These wind flow sampling points should be distributed in key areas of wind distribution in the mine, such as ventilation shafts, working faces and gas accumulation areas. By using the sampling function of computational fluid dynamics (CFD) software, the wind speed and wind direction information at each representative coordinate point in the wind flow field is collected to form a wind distribution vector point set. For each wind flow sampling point, its three-dimensional coordinates, wind speed and wind direction are recorded to construct a comprehensive wind distribution vector point set. By performing statistical analysis on the sampling point data, the wind distribution characteristics and change laws of each wind flow distribution area can be clearly understood.

[0116] Step S324: regionally matching the coal mine wind distribution vector point set with the coal mine gas real-time distribution simulation space to obtain the coal mine gas simulation space wind distribution area.

[0117] In this embodiment, the position coordinates of each point in the coal mine wind distribution vector point set are matched with each position point in the coal mine gas real-time distribution simulation space, that is, the coal mine gas real-time distribution simulation space is regionally matched according to the position distribution of the coal mine wind distribution vector point set, and the wind distribution information of the coal mine is combined with the gas real-time distribution simulation space to achieve accurate matching of wind and gas distribution in the mine, and thereby determine the area in the coal mine gas simulation space that matches the wind flow field, and finally obtain the wind distribution area of ​​the coal mine gas simulation space. The wind region matching of the simulated space can better understand the wind-driven mechanism of gas diffusion, and provide scientific basis and technical support for the subsequent gas inspection task generation and processing process.

[0118] Step S33: For any position in the wind distribution area of ​​the coal mine gas simulation space, use the regional wind stoppage degree calculation formula to calculate the wind stoppage degree value of the position, and then obtain the wind stoppage degree values ​​of each position in the wind distribution area of ​​the coal mine gas simulation space.

[0119] In this embodiment, a regional wind stop degree calculation formula is obtained by using a specific mathematical model and verification, which is used to calculate the wind stop degree in the wind distribution area of ​​the coal mine gas simulation space. The regional wind stop degree calculation formula combines multiple wind-related factors, such as wind speed, terrain complexity, environmental ventilation, etc., including: wind speed measurement parameters, wind speed influence coefficient, terrain complexity measurement parameters, terrain complexity influence coefficient, environmental ventilation degree measurement parameters, coal mine shaft layout ventilation adjustment factors, environmental ventilation influence coefficients, wind position vector measurement parameters, wind flow divergence measurement parameters, wind flow influence coefficients and related parameters. In this way, comprehensive consideration of different wind factors can more accurately evaluate the wind stop degree in the wind distribution area of ​​the coal mine gas simulation space, which is more in line with the actual situation. In addition, the regional wind stop degree calculation formula also includes spatial position parameters, such as the spatial range parameters, spatial horizontal coordinate parameters, and spatial vertical coordinate parameters of the wind distribution area in the coal mine gas simulation space: this allows the influence of spatial position on wind to be considered in the calculation process, and the wind stop degree at different locations can be adjusted according to the characteristics of their geographical location and surrounding environment, so as to more accurately reflect the distribution of wind in the coal mine gas simulation space. The formula also introduces a correction value to correct the wind stop degree value of the simulated space wind distribution area to improve the accuracy and stability of the calculation results. The correction value can be adjusted according to the actual error situation that occurs during the calculation process to better adapt to different coal mine gas distribution space environments, improve the accuracy and applicability of the regional wind stop degree calculation formula, and thus provide important technical support and method guidance for the spatial analysis of coal mine gas distribution. The regional wind stop degree calculation formula obtains the wind stop degree value of the simulated space wind distribution area by quantifying the wind stop situation of the corresponding wind distribution area in the gas simulation space, which provides a quantitative basis for the subsequent wind stop area division process.

[0120] The calculation formula for the wind stop degree in the area is:

[0121]

[0122] Where R st is the wind stop degree value at any position in the coal mine gas simulation space wind distribution area; A is the spatial range parameter of the coal mine gas simulation space wind distribution area; α is the wind speed influence coefficient; x is the spatial horizontal coordinate parameter of any position in the coal mine gas simulation space wind distribution area; y is the spatial vertical coordinate parameter of any position in the coal mine gas simulation space wind distribution area; V w(x,y) is the wind speed measurement parameter at (x,y); β is the terrain complexity influence coefficient; γ(x,y) is the terrain complexity measurement parameter at (x,y); δ is the ventilation adjustment factor of the coal mine layout; η(x,y) is the environmental ventilation degree measurement parameter at (x,y); θ is the environmental ventilation influence coefficient; e is a natural constant; μ(x,y) is the wind position vector measurement parameter at (x,y); v(x,y) is the wind flow divergence measurement parameter at (x,y); ξ is the wind flow influence coefficient; ε is the correction value of the wind stop degree value in the simulated spatial wind distribution area.

[0123] Step S34: Compare the preset regional air stoppage degree threshold with the air stoppage degree value of each location in the wind distribution area of ​​the coal mine gas simulation space, and divide each location into a fixed air stoppage area or a temporary air stoppage area according to the comparison result, to obtain the fixed air stoppage area of ​​the coal mine gas distribution space and the temporary air stoppage area of ​​the coal mine gas distribution space.

[0124] The method for dividing each position into a fixed wind stop area or a temporary wind stop area according to the comparison result is: for any position in the wind distribution area of ​​the coal mine gas simulation space, when the wind stop degree value of the position is greater than or equal to the preset regional wind stop degree threshold, the position is marked as a fixed wind stop area, and the fixed wind stop area of ​​the coal mine gas distribution space is constructed based on all marked fixed wind stop areas; when the wind stop degree value of the position is less than the preset regional wind stop degree threshold, the position is marked as a temporary wind stop area, and the temporary wind stop area of ​​the coal mine gas distribution space is constructed based on all marked temporary wind stop areas.

[0125] In this embodiment, the calculated wind stoppage degree value of the simulated space wind distribution area is compared and judged using a preset regional wind stoppage degree threshold. If it is judged that the wind stoppage degree value of the simulated space wind distribution area is greater than or equal to the preset regional wind stoppage degree threshold, it means that the wind stoppage degree of the coal mine gas simulation space wind distribution area corresponding to the wind stoppage degree value of the simulated space wind distribution area is relatively large, and the coal mine gas simulation space wind distribution area corresponding to the wind stoppage degree value of the simulated space wind distribution area is marked as a fixed wind stoppage area and divided out, and finally the fixed wind stoppage area of ​​the coal mine gas distribution space is obtained. If it is judged that the wind stoppage degree value of the simulated space wind distribution area is less than the preset regional wind stoppage degree threshold, it means that the wind stoppage degree of the coal mine gas simulation space wind distribution area corresponding to the wind stoppage degree value of the simulated space wind distribution area is relatively small or has basically never stopped, and the coal mine gas simulation space wind distribution area corresponding to the wind stoppage degree value of the simulated space wind distribution area is marked as a temporary wind stoppage area and divided out, and finally the temporary wind stoppage area of ​​the coal mine gas distribution space is obtained. At the same time, corresponding inspection tasks can be taken in time to generate measures to prevent gas leakage accidents and ensure the safety and stability of coal mine operations.

[0126] Step S4: performing a zoned gas leakage hotspot analysis on the fixed ventilation stop area in the coal mine gas distribution space and the temporary ventilation stop area in the coal mine gas distribution space, respectively, to obtain a coal mine gas leakage hotspot set.

[0127] In this embodiment, the corresponding risk degree calculation is performed for the fixed ventilation stop area and the temporary ventilation stop area of ​​the coal mine, respectively, so as to quantitatively evaluate the risk degree of gas leakage in the fixed ventilation stop area and the temporary ventilation stop area. At the same time, by using the preset gas leakage risk threshold and the calculated gas leakage risk degree value for comparison and judgment, the suspected location of gas leakage corresponding to the gas leakage risk degree value exceeding the preset gas leakage risk threshold is determined and marked as a leakage hotspot, and the gas inspection leakage hotspots detected in the corresponding areas of the fixed ventilation stop area and the temporary ventilation stop area are merged to form a more comprehensive and accurate gas leakage hotspot collection, thereby obtaining a coal mine gas leakage hotspot set.

[0128] Step S41: Mark the gas concentration inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, respectively, to obtain the gas inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the coal mine.

[0129] The method for marking gas concentration inspection points for the fixed ventilation stop areas and the temporary ventilation stop areas in the coal mine gas distribution space is as follows: for any one of the fixed ventilation stop areas and the temporary ventilation stop areas in the coal mine gas distribution space, a regional gas concentration distribution flow map of the area is generated based on the coal mine geological structure characteristic points and the coal mine gas diffusion dynamic distribution characteristic points in the area, and the locations where gas accumulation occurs in the regional gas concentration distribution flow map are marked as inspection points in the area.

[0130] In this embodiment, by analyzing the coal mine structure layout and gas concentration distribution in the fixed stop ventilation area of ​​the coal mine gas distribution space and the temporary stop ventilation area of ​​the coal mine gas distribution space, that is, for the previously determined fixed stop ventilation area and temporary stop ventilation area, and according to the corresponding spatial layout of any one of the two areas, that is, the coal mine geological structure distribution and gas concentration distribution, a regional gas concentration distribution flow map is generated, and the spatial distribution positions with obvious gas concentration accumulation on the flow map are marked as inspection points. Gas accumulation refers to a volume exceeding 0.5m 3 The phenomenon of gas concentration exceeding 2% in the space is detected; subsequently, the gas concentration accumulation distribution position markers are used to form a complete gas inspection point path map. By recording the specific location, type and related monitoring data of each inspection point, the suspected location of gas leakage is effectively marked and determined. Finally, the gas inspection points in the fixed ventilation stop area of ​​the coal mine and the gas inspection points in the temporary ventilation stop area of ​​the coal mine are obtained, which improves the detection efficiency and accuracy of gas leakage, helps to timely discover potential gas leakage risks, prevent the occurrence of gas accidents, and thus protect the lives of inspection personnel.

[0131] Step S42: Use temperature sampling equipment and humidity sampling equipment to perform temperature sampling and humidity sampling on gas inspection points in fixed ventilation stop areas of coal mines, respectively, to obtain temperature data and humidity data of inspection points in fixed ventilation stop areas.

[0132] In this embodiment, a temperature sampling device such as a temperature sensor and a humidity sampling device such as a humidity sensor are used to sample and measure the coal mine area at the gas inspection point in the fixed air stop area of ​​the coal mine, and the temperature data of the inspection point in the fixed air stop area and the humidity data of the inspection point in the fixed air stop area are obtained. These data are important parameters for evaluating the risk of gas leakage at the inspection point in the fixed air stop area, and can be used to calculate the potential danger level of gas leakage, and provide a basis for formulating effective safety precautions. By monitoring the changes in temperature and humidity, abnormal conditions can also be discovered in advance, and possible gas leakage can be warned.

[0133] Step S43: Based on the temperature data of the inspection points in the fixed ventilation area and the humidity data of the inspection points in the fixed ventilation area, the gas leakage risk level value of the gas inspection points in the fixed ventilation area of ​​each coal mine is calculated using the fixed ventilation area gas leakage risk level calculation formula.

[0134] In this embodiment, a specific mathematical model is used and verified to obtain a formula for calculating the risk level of gas leakage in a fixed ventilation area, which is used to calculate the risk level of the fixed ventilation area at the gas inspection point in the fixed ventilation area of ​​the coal mine. The formula for calculating the risk level of gas leakage in the fixed ventilation area includes multiple parameters, including temperature, humidity, gas concentration, etc., such as: temperature parameter, mean value of the temperature influence distribution of the inspection point, standard deviation of the temperature influence distribution of the inspection point, humidity parameter, mean value of the humidity influence distribution of the inspection point, standard deviation of the humidity influence distribution of the inspection point, gas concentration parameter, gas diffusion pressure function of the inspection point, gas diffusion coefficient of the inspection point, gas molar coefficient of the inspection point, gas constant of the inspection point, attraction measurement parameter of gas molecules in the inspection point, repulsion measurement parameter of gas molecules in the inspection point and related parameters. By comprehensively considering the above parameters, the calculation results are more credible, which can better reflect the actual gas leakage risk situation in the fixed ventilation area. The calculation formula for the risk level of gas leakage in the fixed ventilation area takes into account the influence of temperature and humidity on gas leakage. By integrating the Gaussian distribution function of temperature and humidity, the risk level of gas leakage is calculated, which can more comprehensively evaluate the risk of gas leakage in the fixed ventilation area. The calculation formula for the risk level of gas leakage in the fixed ventilation area introduces the gas diffusion pressure function, so that the formula takes into account the diffusion characteristics of gas in the fixed ventilation area. This is crucial for evaluating the actual situation of gas leakage, because the gas diffusion process is the core of the gas leakage risk. Secondly, the calculation formula for the risk level of gas leakage in the fixed ventilation area also introduces time variables, such as the start time, end time and time variable parameters of the risk level calculation of the fixed ventilation area, so that the calculation process is dynamic and can reflect the change of risk over time. Such a design is closer to the actual situation and can timely discover possible risk change trends. In addition, the risk level of gas leakage in the fixed ventilation area also provides flexibility for the calculation process by introducing a correction coefficient, which can be adjusted according to actual scenarios and experience. Such a design makes the calculation formula more adaptable and suitable for the actual situation of different coal mines. This formula can realize the calculation process of the risk degree of the fixed ventilation area of ​​the gas inspection point in the fixed ventilation area of ​​the coal mine. At the same time, the correction coefficient of the gas leakage risk degree value of the fixed ventilation area inspection point is used. The introduction of can be adjusted according to the errors occurring in the calculation process, and by quantitatively evaluating the risk degree of gas leakage in fixed ventilation stop areas, the accuracy and applicability of the calculation formula for the risk degree of gas leakage in fixed ventilation stop areas are improved.

[0135] In addition, the formula for calculating the risk level of gas leakage in a fixed ventilation area can also use any gas leakage risk detection method in the field to replace the process of calculating the risk level of a fixed ventilation area, and is not limited to the formula for calculating the risk level of gas leakage in a fixed ventilation area.

[0136] The calculation formula for the gas leakage risk level in the fixed ventilation stop area is:

[0137]

[0138]

[0139] where F g is the gas leakage risk level value of the inspection point in the fixed ventilation stop area of ​​the coal mine; t1 is the starting time of the calculation of the gas leakage risk level in the fixed ventilation stop area; t2 is the end time of the calculation of the gas leakage risk level in the fixed ventilation stop area; t is the time variable parameter of the calculation of the gas leakage risk level in the fixed ventilation stop area; σ T is the standard deviation of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; T(t) is the temperature parameter of the gas inspection point in the fixed ventilation stop area of ​​the coal mine at time t; T0 is the mean value of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; σ H is the standard deviation of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; H(t) is the humidity parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine at time t; H0 is the mean value of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; ρ1 is the gas concentration parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine; P(T(t),H(t)) is the gas diffusion pressure function of the inspection points in the fixed ventilation stop area of ​​the coal mine; is the correction coefficient of the gas leakage risk level value of the inspection point in the fixed ventilation stop area of ​​the coal mine; k is the gas diffusion coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; n is the gas molar coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; C is the gas constant of the inspection point in the fixed ventilation stop area of ​​the coal mine; b is the measurement parameter of the repulsion between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine; a is the measurement parameter of the attraction between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine.

[0140] Step S44: Compare the gas leakage risk level value of each gas inspection point in the fixed ventilation area of ​​the coal mine with the preset fixed ventilation area gas leakage risk threshold. If the gas leakage risk level value of the gas inspection point in the fixed ventilation area of ​​the coal mine is greater than or equal to the fixed ventilation area gas leakage risk threshold, then the gas inspection point in the fixed ventilation area of ​​the coal mine is used as a fixed ventilation area gas inspection leakage hotspot and is marked; otherwise, the gas inspection point in the fixed ventilation area of ​​the coal mine is not marked.

[0141] In this embodiment, a preset fixed air stop area gas leakage risk threshold is used to compare and judge with the calculated fixed air stop area inspection point gas leakage risk degree value, so that the coal mine fixed air stop area gas inspection point corresponding to the fixed air stop area inspection point gas leakage risk degree value greater than or equal to the preset fixed air stop area gas leakage risk threshold is determined and marked as a leakage hotspot, while those less than the preset fixed air stop area gas leakage risk threshold do not need to be marked, and the fixed air stop area gas inspection leakage hotspot is obtained. By finding out the areas with higher gas leakage risks, gas extraction or other safety measures can be carried out in time to ensure the safe production of miners. Through the analysis of leakage hotspots, monitoring and management can be strengthened in a targeted manner, thereby providing data support for the subsequent gas inspection task generation process.

[0142] Step S45: Use wind speed monitoring equipment and coal seam gap monitoring equipment to perform wind speed sampling and coal seam gap sampling at gas inspection points in the temporary ventilation stop area of ​​the coal mine, respectively, to obtain wind speed data of the inspection points in the temporary ventilation stop area and coal seam gap data of the inspection points in the temporary ventilation stop area.

[0143] In this embodiment, wind speed monitoring equipment and coal seam gap monitoring equipment are used to monitor and measure the area where the gas inspection point in the temporary air stop area of ​​the coal mine is located, so as to measure the wind speed conditions in the area where the gas inspection point in the temporary air stop area of ​​the coal mine is located and the coal seam gaps, and thereby understand the airflow conditions in the temporary air stop area and the possible location and diffusion range of gas leakage, and finally obtain the wind speed data of the inspection point in the temporary air stop area and the coal seam gap data of the inspection point in the temporary air stop area. Among them, by collecting wind speed data, the airflow conditions in the temporary air stop area can be understood, so as to judge the diffusion speed and direction of gas, and provide basic data for subsequent risk assessment. By collecting coal seam gap data, the structure and characteristics of the coal seam can be revealed, which is helpful to evaluate the possible path and range of gas leakage and improve the awareness of gas leakage risks.

[0144] Step S46: Based on the wind speed data of the inspection points in the temporary ventilation stop area and the coal seam gap data of the inspection points in the temporary ventilation stop area, the gas leakage risk level value of the gas inspection points in the temporary ventilation stop area of ​​each coal mine is calculated using the calculation formula for the gas leakage risk level of the temporary ventilation stop area.

[0145] In this embodiment, a formula for calculating the risk level of gas leakage in a temporary air stop area is obtained by using a specific mathematical model and verifying it, which is used to calculate the risk level of the temporary air stop area at the gas inspection point in the temporary air stop area of ​​a coal mine. The formula for calculating the risk level of gas leakage in the temporary air stop area comprehensively considers multiple factors that directly affect the possibility and degree of gas leakage in the temporary air stop area, including gas concentration, wind speed data, and coal seam gap data in the temporary air stop area of ​​the coal mine, specifically including: gas concentration parameters, wind speed data, coal seam gap data, and related parameters. These factors directly affect the possibility and degree of gas leakage. In addition, time variable parameters are introduced into the formula for calculating the risk level of gas leakage in the temporary air stop area, including: the start time, end time, and time variable parameters of the calculation of the risk level of the temporary air stop area, and the change of gas leakage risk over time is considered in this way, which is very important for the dynamic assessment of coal mine gas leakage risk, making the calculation result more accurate. The influence weight parameters in the calculation formula for the risk level of gas leakage in the temporary wind stop area, such as the influence weight parameters of wind speed at the inspection point and the influence weight parameters of coal seam gaps at the inspection point, can make a more reasonable assessment of the risk of gas leakage according to the importance of different factors. The formula also uses the normal distribution to describe the influence of wind speed and coal seam gaps, such as the mean of the wind speed influence distribution at the inspection point, the standard deviation of the wind speed influence distribution at the inspection point, the mean of the coal seam gap influence distribution at the inspection point, and the standard deviation of the coal seam gap influence distribution at the inspection point, which makes the calculation formula more in line with the actual situation and can better reflect the possibility of gas leakage at the inspection point. In addition, the correction coefficient in the formula can be used to adjust the calculation results to make them more in line with the actual situation. This correction process can be based on experimental data or expert experience, thereby improving the adjustability and applicability of the calculation formula. Therefore, the calculation formula for the risk level of gas leakage in the temporary ventilation stop area comprehensively considers multiple influencing factors, including gas concentration, wind speed, coal seam gaps, etc., considers time factors and probability distribution, and introduces weight parameters and correction coefficients. It can realize the calculation process of the risk level of the temporary ventilation stop area of ​​the gas inspection point in the temporary ventilation stop area of ​​the coal mine, and at the same time, the correction coefficient of the gas leakage risk level value of the temporary ventilation stop area inspection point is used. The introduction of can be adjusted according to the error in the calculation process, which improves the accuracy and applicability of the calculation formula for the risk of gas leakage in the temporary ventilation stop area. By quantitatively evaluating the risk of gas leakage in the temporary ventilation stop area, the risk of gas leakage at the inspection point in the temporary ventilation stop area can be effectively evaluated, providing a scientific basis for taking targeted safety measures and effectively preventing the occurrence of gas accidents. This provides important support and reference for the safety management and gas prevention of coal mines.

[0146] In addition, the formula for calculating the risk level of gas leakage in a temporary air stop area can also use any gas leakage risk detection method in the field to replace the process of calculating the risk level of a temporary air stop area, and is not limited to the formula for calculating the risk level of gas leakage in a temporary air stop area.

[0147] The calculation formula for the risk level of gas leakage in the temporary ventilation stop area is:

[0148]

[0149] where F l is the gas leakage risk level value of the inspection point in the temporary ventilation stop area of ​​the coal mine; τ1 is the starting time for calculating the gas leakage risk level in the temporary ventilation stop area; τ2 is the end time for calculating the gas leakage risk level in the temporary ventilation stop area; τ is the time variable parameter for calculating the gas leakage risk level in the temporary ventilation stop area; ρ2 is the gas concentration parameter of the gas inspection point in the temporary ventilation stop area of ​​the coal mine; ω1 is the wind speed influence weight parameter of the inspection point in the temporary ventilation stop area of ​​the coal mine; E(τ) is the wind speed data of the inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ E is the standard deviation of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; E0 is the mean of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; ω2 is the coal seam gap influence weight parameter of the inspection points in the temporary ventilation stop area of ​​the coal mine; G(τ) is the coal seam gap data of the gas inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ G is the standard deviation of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; G0 is the mean value of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; It is the correction coefficient for the gas leakage risk level at the inspection points in the temporary ventilation stop area.

[0150] Step S47: Compare the gas leakage risk level value of each coal mine temporary ventilation area inspection point with the preset temporary ventilation area gas leakage risk threshold. If the gas leakage risk level value of the coal mine temporary ventilation area inspection point is greater than or equal to the temporary ventilation area gas leakage risk threshold, then the coal mine temporary ventilation area inspection point is used as a temporary ventilation area gas inspection leakage hotspot and is marked; otherwise, the coal mine temporary ventilation area inspection point is not marked.

[0151] In this embodiment, a preset gas leakage risk threshold of a temporary air stop area is used to compare and judge with the calculated gas leakage risk level value of the temporary air stop area inspection point, so that the coal mine temporary air stop area gas inspection point corresponding to the gas leakage risk level value of the temporary air stop area inspection point exceeding the preset gas leakage risk threshold of the temporary air stop area is determined and marked as a leakage hotspot, while those that do not exceed the preset gas leakage risk threshold of the temporary air stop area do not need to be marked, and finally the temporary air stop area gas inspection leakage hotspot is obtained. By determining the area with a higher risk of gas leakage, timely measures can be taken to monitor or control it, effectively reducing the probability of gas accidents. In addition, through the analysis of gas leakage hotspots, an important reference basis can be provided for subsequent safety management and prevention work.

[0152] Step S48: Merge all gas inspection leakage hotspots in fixed ventilation stop areas and all gas inspection leakage hotspots in temporary ventilation stop areas to obtain a coal mine gas leakage hotspot set.

[0153] In this embodiment, the gas inspection leakage hotspots detected in the fixed air stop areas and the corresponding areas of the temporary air stop areas are merged into a set to form a more comprehensive and accurate gas leakage hotspot collection, and a coal mine gas leakage hotspot set is obtained, which helps to comprehensively evaluate the safety status of coal mines and formulate more effective inspection task generation measures.

[0154] Step S5: formulate inspection tasks for each gas leakage hotspot in the coal mine gas leakage hotspot concentration, and generate a coal mine gas inspection task list; wherein the inspection tasks include: the location of the gas leakage hotspot, the inspection frequency, the model and quantity of coal mine inspection machines required when inspecting the gas leakage hotspot, and the inspection requirements when inspecting the gas leakage hotspot.

[0155] In this embodiment, for each gas leakage hotspot in the coal mine gas leakage hotspot set, the corresponding gas leakage inspection points in the coal mine gas leakage hotspot set are analyzed, that is, a list of inspection tasks is generated using a rule engine and historical inspection records to determine the specific locations and task contents that need to be inspected; each inspection task includes: the specific location of the gas leakage hotspot, the inspection frequency, and the required resources, such as the model and quantity of the inspection machine, and the inspection requirements of the inspection task; and a comprehensive and detailed coal mine gas inspection task list is generated in the order of the marking time of each gas leakage hotspot in step S4; it helps to improve the efficiency and accuracy of the inspection work, and can promptly discover and deal with potential safety hazards, thereby maximizing the protection of the life safety of miners and the integrity of production equipment.

[0156] Step S6: Acquire historical inspection information data of the coal mine inspection machine and inspection arrival distance data of the coal mine inspection machine, and perform inspection capability detection on the coal mine inspection machine to obtain inspection capability level data of the coal mine inspection machine.

[0157] Step S61: Acquire historical inspection information data of the coal mine inspection machine, and respectively calculate the distance between the coal mine inspection machine and each gas leakage hotspot to obtain the inspection arrival distance data of the coal mine inspection machine.

[0158] In this embodiment, the historical inspection information data of the coal mine inspection machine is obtained by acquiring the corresponding historical inspection information data from the data storage system of the coal mine inspection machine, including key information such as the operation status, inspection route and inspection time of the coal mine inspection machine. Then, the arrival distance of the coal mine inspection machine to the gas leakage hotspot is monitored in real time by using a real-time monitoring system to evaluate the real-time distance position of the coal mine inspection machine that can reach the gas leakage hotspot coverage within a certain period of time, thereby obtaining the coal mine inspection machine inspection arrival distance data. By obtaining the arrival distance data, the range that the inspection machine can inspect and cover within a certain period of time can be evaluated, which helps to determine the effective working range of the inspection machine.

[0159] Step S62: obtaining the average estimated inspection time and inspection working frequency data of the coal mine inspection machine according to the historical inspection information data of the coal mine inspection machine, and evaluating the inspection efficiency of the coal mine inspection machine according to the average estimated inspection time and inspection working frequency data.

[0160] In this embodiment, a mathematical statistical method is used to perform statistical calculations on the historical inspection information data of the coal mine inspection machine, including inspection time, number of inspections, inspection distance, etc., to statistically analyze the average inspection estimated time and inspection working frequency of the coal mine inspection machine, thereby obtaining the average inspection estimated time and inspection working frequency data of the coal mine inspection machine. Then, by combining the average inspection estimated time and inspection working frequency data to perform efficiency evaluation analysis, the inspection working frequency data is divided by the average inspection estimated time to obtain the inspection efficiency of the coal mine inspection machine. By accurately evaluating the working efficiency of the inspection machine, potential room for improvement can be discovered, inspection efficiency can be improved, and the timeliness and accuracy of inspection work can be ensured, thereby reducing the risk of gas leakage.

[0161] Step S63: Calculate the inspection completion probability of the coal mine inspection machine according to the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine.

[0162] In this embodiment, mathematical statistical methods are used to perform statistical analysis on the inspection arrival distance data of the coal mine inspection machine, that is, statistical software, such as SPSS or Python's Pandas library, is used to process the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and calculate the proportion of completed tasks of the coal mine inspection machine under different distance conditions, and use it as the inspection completion probability of the coal mine inspection machine. In this way, the probability of the coal mine inspection machine reaching the current gas leakage hotspot location and completing the gas leakage hotspot inspection task within the specified time is evaluated, which provides basic data for the inspection capability detection and helps to formulate reasonable inspection plans and task allocation.

[0163] Step S64: Based on the inspection efficiency of the coal mine inspection machine and the inspection completion probability of the coal mine inspection machine, a weight factor is set, and a weighted algorithm is used to calculate the inspection capability level of the coal mine inspection machine.

[0164] In this embodiment, the inspection capability evaluation method is used to perform inspection capability detection and analysis on the inspection efficiency and inspection completion probability of the coal mine inspection machine. Specifically, a weighted algorithm is used to combine the inspection efficiency and inspection completion probability of the coal mine inspection machine, and by setting a weight factor, the inspection capability level of the coal mine inspection machine is calculated by the method of weight factor * inspection efficiency * inspection completion probability. By comprehensively considering the working efficiency and inspection completion probability of the coal mine inspection machine to objectively evaluate its inspection capability level, the inspection capability level of the coal mine inspection machine can be objectively evaluated, providing a reference basis for further optimizing the inspection task allocation and improving the inspection efficiency.

[0165] Step S7: assigning a number of coal mine inspection machines to each inspection task in the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine to obtain the coal mine gas inspection task distribution result.

[0166] The method for assigning a number of coal mine inspection machines to each inspection task in the coal mine gas inspection task list is as follows: for any inspection task in the coal mine gas inspection task list, all coal mine inspection machines whose inspection capability levels meet the inspection requirements in the inspection task are assigned to the inspection task, and the coal mine inspection machines assigned to the inspection task are sorted from high to low according to the inspection capability levels of the coal mine inspection machines, and the top N coal mine inspection machines are selected from the sorting results to perform the inspection task.

[0167] In this embodiment, the inspection capabilities of all coal mine inspection machines assigned to each inspection task in the coal mine gas inspection task list are determined and sorted according to the inspection capability level of the coal mine inspection machine, and the coal mine inspection machine with greater inspection capability for the inspection task is determined as the coal mine inspection machine to which the inspection task is assigned, that is, the gas inspection task is distributed to the coal mine inspection machine with better inspection capability for execution. All inspection tasks in the coal mine gas inspection task list are distributed and processed to reasonably allocate inspection tasks according to the capability level of the inspection machine, ensure the efficient use of the capability of the coal mine inspection machine, and finally obtain the coal mine gas inspection task distribution result, including the situation of the inspection task being allocated to each coal mine inspection machine. By performing task distribution processing on the coal mine gas inspection task list according to the inspection capability level data of the inspection machine, it is possible to reasonably allocate inspection tasks according to the capability level of the inspection machine, and it is also possible to make full use of resources, optimize the inspection plan, and improve the inspection efficiency, thereby ensuring the safe production of coal mines.

[0168] A generation and distribution system of a coal mine gas inspection task in this embodiment, such as Figure 4 As shown, the system includes: a coal mine gas real-time distribution space simulation module, a coal mine ventilation stop area division module, a coal mine gas leakage inspection task generation module and a coal mine gas inspection task distribution module.

[0169] The coal mine gas real-time distribution space simulation module is used to obtain coal mine geological structure distribution data and coal mine gas real-time concentration distribution data, and perform network topology simulation analysis on the coal mine geological structure distribution data to obtain the coal mine geological structure simulation space, and then perform gas distribution matching on the coal mine geological structure simulation space according to the coal mine gas real-time concentration distribution data to obtain the coal mine gas real-time distribution simulation space and send it to the coal mine ventilation stop area division module.

[0170] The coal mine ventilation stop area division module is used to perform wind force distribution detection on the coal mine, obtain wind force distribution information data of the coal mine, and divide the coal mine gas real-time distribution simulation space into ventilation stop areas based on the coal mine wind force distribution information data, obtain fixed ventilation stop areas in the coal mine gas distribution space and temporary ventilation stop areas in the coal mine gas distribution space, and send them to the coal mine gas leakage inspection task generation module.

[0171] The coal mine gas leakage inspection task generation module is used to perform zoned gas leakage hotspot analysis on the fixed ventilation stop areas in the coal mine gas distribution space and the temporary ventilation stop areas in the coal mine gas distribution space, obtain a coal mine gas leakage hotspot set, and generate inspection tasks based on the coal mine gas leakage hotspot set, obtain a coal mine gas inspection task list and send it to the coal mine gas inspection task distribution module.

[0172] The coal mine gas inspection task distribution module is used to obtain the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and detect the inspection capability level of the coal mine inspection machine based on the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and then distribute the inspection tasks for the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine to obtain the coal mine gas inspection task distribution result.

[0173] The present embodiment proposes a system for generating and distributing coal mine gas inspection tasks, which is composed of a coal mine gas real-time distribution space simulation module, a coal mine shaft ventilation stop area division module, a coal mine gas leakage inspection task generation module and a coal mine gas inspection task distribution module. The system can realize any one of the coal mine gas inspection task generation and distribution methods described in the present invention, and is used to combine the operations between computer programs running on each module to realize a method for generating and distributing coal mine gas inspection tasks. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient gas inspection task generation and distribution process, thereby simplifying the operating procedures of the coal mine gas inspection task generation and distribution system.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope defined by the claims of the present invention.

Claims

1. A method for generating and distributing coal mine gas inspection tasks, characterized in that: The method comprises the following steps: Step S1: obtaining coal mine geological structure distribution data, and performing spatial topological simulation analysis on the coal mine geological structure distribution data to obtain a coal mine geological structure simulation space; Step S2: acquiring real-time coal mine gas concentration distribution data, and performing gas distribution matching on the coal mine geological structure simulation space according to the real-time coal mine gas concentration distribution data to obtain the coal mine gas real-time distribution simulation space; Step S3: obtaining wind distribution information data of the coal mine, and dividing the coal mine gas real-time distribution simulation space into wind stop areas, to obtain fixed wind stop areas of the coal mine gas distribution space and temporary wind stop areas of the coal mine gas distribution space; Step S4: performing a zoned gas leakage hotspot analysis on the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, respectively, to obtain a coal mine gas leakage hotspot set; Step S5: respectively formulate inspection tasks for each gas leakage hotspot in the coal mine gas leakage hotspot concentration, and generate a coal mine gas inspection task list; The inspection tasks include: the location of the gas leakage hotspot, the inspection frequency, the model and quantity of coal mine inspection machines required when inspecting the gas leakage hotspot, and the inspection requirements when inspecting the gas leakage hotspot; Step S6: acquiring historical inspection information data of the coal mine inspection machine and inspection arrival distance data of the coal mine inspection machine, and performing inspection capability detection on the coal mine inspection machine to obtain the inspection capability level of the coal mine inspection machine; Step S7: assigning a number of coal mine inspection machines to each inspection task in the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine to obtain the coal mine gas inspection task distribution result.

2. A method for generating and distributing coal mine gas inspection tasks according to claim 1, characterized in that: The step S1 further comprises: Step S11: using a geological radar sensor to detect the geological structure distribution of the coal mine, and obtaining the geological structure distribution data of the coal mine; Step S12: cleaning the coal mine geological structure distribution data, and using a data mining algorithm to perform cluster analysis on the cleaned coal mine geological structure distribution data, and then using a geostatistical method to perform feature analysis on the geological characteristics and spatial distribution relationship of different geological structures in the coal mine obtained by cluster analysis, to obtain coal mine geological structure feature data; Step S13: constructing a mine geological structure distribution space model according to the coal mine geological structure distribution data, and based on the mine geological structure distribution space model, using an automated feature point extraction algorithm to collect feature points of the coal mine geological structure feature data to obtain a coal mine geological structure feature point set; Step S14: using a spatial topology analysis method to perform spatial connection topology analysis on the geological structure distribution data of the coal mine, and obtaining a spatial connection topology relationship of the geological structure of the coal mine; Step S15: performing simulation mapping analysis on the characteristic point set of the coal mine geological structure according to the spatial connection topological relationship of the coal mine geological structure to obtain a simulation space of the coal mine geological structure.

3. A method for generating and distributing coal mine gas inspection tasks according to claim 2, characterized in that: The step S2 further comprises: Step S21: using a gas concentration monitoring sensor to monitor the gas in the coal mine in real time, and using a linear regression method to fit and calibrate the gas concentration data, and then using signal processing technology to denoise the calibrated gas concentration data, and using an outlier detection algorithm to remove outliers from the denoised gas concentration data, to obtain real-time gas concentration distribution data of the coal mine; Step S22: Analyze the gas location and flow characteristics of the real-time concentration distribution data of coal mine gas to obtain coal mine gas distribution location characteristic data and coal mine gas flow characteristic data; Step S23: establishing a geographic space three-dimensional coordinate system for representing the gas distribution position, and marking the coal mine gas distribution position characteristic data on the coordinate system, obtaining a number of gas distribution space position coordinates, matching the coal mine gas real-time concentration distribution data with the gas distribution space position coordinates, obtaining a number of gas position characteristic points and constructing a coal mine gas position characteristic point set; Step S24: extracting a number of flow feature points from the coal mine gas flow feature data using a fluid mechanics simulation tool, and matching the extracted flow feature points with the coal mine gas real-time concentration distribution data to obtain a number of gas flow feature points and construct a coal mine gas flow feature point set; Step S25: using a dynamic fusion method to fuse the gas position feature points in the coal mine gas position feature point set and the gas flow feature points in the coal mine gas flow feature point set, generating dynamic feature process points of gas diffusion and constructing a coal mine gas diffusion dynamic distribution feature point set; Step S26: performing gas distribution matching on the coal mine gas diffusion dynamic distribution feature point set and the coal mine geological structure feature point set in the coal mine geological structure simulation space to obtain the coal mine gas real-time distribution simulation space.

4. A method for generating and distributing coal mine gas inspection tasks according to claim 3, characterized in that: The step S3 further comprises: Step S31: using wind force detection equipment to detect wind force distribution in the coal mine, and obtaining wind force distribution information data of the coal mine, including: wind speed range and wind direction range at different positions in the coal mine; Step S32: simulating the wind flow in the coal mine in the coal mine gas real-time distribution simulation space according to the coal mine wind distribution information data to generate a coal mine gas simulation space wind distribution area; Step S33: for any position in the wind distribution area of ​​the coal mine gas simulation space, use the regional wind stop degree calculation formula to calculate the wind stop degree value of the position, and then obtain the wind stop degree value of each position in the wind distribution area of ​​the coal mine gas simulation space; Step S34: Compare the preset regional wind stop degree threshold with the wind stop degree value of each position in the wind distribution area of ​​the coal mine gas simulation space, and divide each position into a fixed wind stop area or a temporary wind stop area according to the comparison result, so as to obtain the fixed wind stop area of ​​the coal mine gas distribution space and the temporary wind stop area of ​​the coal mine gas distribution space; The method for dividing each position into a fixed wind stop area or a temporary wind stop area according to the comparison result is: for any position in the wind distribution area of ​​the coal mine gas simulation space, when the wind stop degree value of the position is greater than or equal to the preset regional wind stop degree threshold, the position is marked as a fixed wind stop area, and the fixed wind stop area of ​​the coal mine gas distribution space is constructed based on all marked fixed wind stop areas; when the wind stop degree value of the position is less than the preset regional wind stop degree threshold, the position is marked as a temporary wind stop area, and the temporary wind stop area of ​​the coal mine gas distribution space is constructed based on all marked temporary wind stop areas.

5. A method for generating and distributing coal mine gas inspection tasks according to claim 4, characterized in that: The calculation formula for the wind stop degree in the area in step S33 is: Where R st is the wind stop degree value at any position in the coal mine gas simulation space wind distribution area; A is the spatial range parameter of the coal mine gas simulation space wind distribution area; α is the wind speed influence coefficient; x is the spatial horizontal coordinate parameter of any position in the coal mine gas simulation space wind distribution area; y is the spatial vertical coordinate parameter of any position in the coal mine gas simulation space wind distribution area; V w (x,y) is the wind speed measurement parameter at (x,y); β is the terrain complexity influence coefficient; γ(x,y) is the terrain complexity measurement parameter at (x,y); δ is the ventilation adjustment factor of the coal mine layout; η(x,y) is the environmental ventilation degree measurement parameter at (x,y); θ is the environmental ventilation influence coefficient; e is a natural constant; μ(x,y) is the wind position vector measurement parameter at (x,y); v(x,y) is the wind flow divergence measurement parameter at (x,y); ξ is the wind flow influence coefficient; ε is the correction value of the wind stop degree value in the simulated spatial wind distribution area.

6. A method for generating and distributing coal mine gas inspection tasks according to claim 5, characterized in that: The step S4 further comprises: Step S41: marking gas concentration inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, respectively, to obtain gas inspection points of the fixed ventilation stop area and the temporary ventilation stop area of ​​the coal mine; The method for marking gas concentration inspection points for the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine is as follows: for any one of the fixed ventilation stop area and the temporary ventilation stop area of ​​the gas distribution space of the coal mine, a regional gas concentration distribution flow map of the region is generated according to the coal mine geological structure characteristic points and the coal mine gas diffusion dynamic distribution characteristic points of the region, and the position where gas accumulation appears in the regional gas concentration distribution flow map is marked as the inspection point of the region; Step S42: using a temperature sampling device and a humidity sampling device to perform temperature sampling and humidity sampling at the gas inspection points in the fixed ventilation stop area of ​​the coal mine, respectively, to obtain temperature data of the inspection points in the fixed ventilation stop area and humidity data of the inspection points in the fixed ventilation stop area; Step S43: Based on the temperature data of the inspection points in the fixed ventilation area and the humidity data of the inspection points in the fixed ventilation area, the gas leakage risk level value of the gas inspection points in the fixed ventilation area of ​​each coal mine is calculated using the fixed ventilation area gas leakage risk level calculation formula; Step S44: respectively comparing the gas leakage risk level value of each gas inspection point in the fixed ventilation stop area of ​​each coal mine with the preset fixed ventilation stop area gas leakage risk threshold value; if the gas leakage risk level value of the gas inspection point in the fixed ventilation stop area of ​​the coal mine is greater than or equal to the fixed ventilation stop area gas leakage risk threshold value, then the gas inspection point in the fixed ventilation stop area of ​​the coal mine is regarded as a fixed ventilation stop area gas inspection leakage hotspot and marked; otherwise, the gas inspection point in the fixed ventilation stop area of ​​the coal mine is not marked; Step S45: using wind speed monitoring equipment and coal seam gap monitoring equipment to perform wind speed sampling and coal seam gap sampling at gas inspection points in the temporary ventilation stop area of ​​the coal mine, respectively, to obtain wind speed data of the inspection points in the temporary ventilation stop area and coal seam gap data of the inspection points in the temporary ventilation stop area; Step S46: Based on the wind speed data of the inspection points in the temporary ventilation stop area and the coal seam gap data of the inspection points in the temporary ventilation stop area, the gas leakage risk level value of the gas inspection points in the temporary ventilation stop area of ​​each coal mine is calculated using the calculation formula for the gas leakage risk level of the temporary ventilation stop area; Step S47: Compare the gas leakage risk level value of each coal mine temporary ventilation area inspection point with the preset temporary ventilation area gas leakage risk threshold value. If the gas leakage risk level value of the coal mine temporary ventilation area inspection point is greater than or equal to the temporary ventilation area gas leakage risk threshold value, then the coal mine temporary ventilation area inspection point is used as a temporary ventilation area gas inspection leakage hotspot and marked; otherwise, the coal mine temporary ventilation area inspection point is not marked; Step S48: Merge all gas inspection leakage hotspots in fixed ventilation stop areas and all gas inspection leakage hotspots in temporary ventilation stop areas to obtain a coal mine gas leakage hotspot set.

7. A method for generating and distributing coal mine gas inspection tasks according to claim 6, characterized in that: The calculation formula for the gas leakage risk level in the fixed ventilation stop area in step S43 is: where F g is the gas leakage risk level value of the inspection point in the fixed ventilation stop area of ​​the coal mine; t1 is the starting time for calculating the gas leakage risk level in the fixed ventilation stop area; t2 is the end time of the calculation of the risk level of gas leakage in the fixed ventilation stop area; t is the time variable parameter of the calculation of the risk level of gas leakage in the fixed ventilation stop area; σ T is the standard deviation of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; T(t) is the temperature parameter of the gas inspection point in the fixed ventilation stop area of ​​the coal mine at time t; T0 is the mean value of the temperature influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; σ H is the standard deviation of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; H(t) is the humidity parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine at time t; H0 is the mean value of the humidity influence distribution of the inspection points in the fixed ventilation stop area of ​​the coal mine; ρ1 is the gas concentration parameter of the inspection points in the fixed ventilation stop area of ​​the coal mine; P(T(t),H(t)) is the gas diffusion pressure function of the inspection points in the fixed ventilation stop area of ​​the coal mine; is the correction coefficient of the gas leakage risk level value of the inspection point in the fixed ventilation stop area of ​​the coal mine; k is the gas diffusion coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; n is the gas molar coefficient of the inspection point in the fixed ventilation stop area of ​​the coal mine; C is the gas constant of the inspection point in the fixed ventilation stop area of ​​the coal mine; b is the measurement parameter of the repulsion between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine; a is the measurement parameter of the attraction between gas molecules at the inspection point in the fixed ventilation stop area of ​​the coal mine.

8. A method for generating and distributing coal mine gas inspection tasks according to claim 7, characterized in that: The calculation formula for the gas leakage risk level in the temporary ventilation stop area in step S46 is: where F l is the gas leakage risk value of the inspection point in the temporary ventilation stop area; τ1 is the starting time of the calculation of the gas leakage risk level in the temporary ventilation stop area; τ2 is the end time of the calculation of the gas leakage risk level in the temporary ventilation stop area; τ is the time variable parameter for the calculation of the gas leakage risk level in the temporary ventilation stop area; ρ2 is the gas concentration parameter of the gas inspection point in the temporary ventilation stop area of ​​the coal mine; ω1 is the wind speed influence weight parameter of the inspection point in the temporary ventilation stop area of ​​the coal mine; E(τ) is the wind speed data of the inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ E is the standard deviation of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; E0 is the mean of the wind speed influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; ω2 is the coal seam gap influence weight parameter of the inspection points in the temporary ventilation stop area of ​​the coal mine; G(τ) is the coal seam gap data of the gas inspection point in the temporary ventilation stop area of ​​the coal mine at time τ; σ G is the standard deviation of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; G0 is the mean value of the coal seam gap influence distribution of the inspection points in the temporary ventilation stop area of ​​the coal mine; It is the correction coefficient for the gas leakage risk level at the inspection points in the temporary ventilation stop area.

9. A method for generating and distributing coal mine gas inspection tasks according to claim 8, characterized in that: The step S6 further comprises: Step S61: acquiring historical inspection information data of the coal mine inspection machine, and respectively calculating the distance between the coal mine inspection machine and each gas leakage hotspot, to obtain the inspection arrival distance data of the coal mine inspection machine; Step S62: acquiring average inspection estimated time and inspection working frequency data of the coal mine inspection machine according to historical inspection information data of the coal mine inspection machine, and evaluating the inspection efficiency of the coal mine inspection machine according to the average inspection estimated time and inspection working frequency data; Step S63: Counting the inspection completion probability of the coal mine inspection machine according to the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine; Step S64: Based on the inspection efficiency of the coal mine inspection machine and the inspection completion probability of the coal mine inspection machine, a weight factor is set, and a weighted algorithm is used to calculate the inspection capability level of the coal mine inspection machine.

10. A system for generating and distributing coal mine gas inspection tasks, characterized in that: The system includes: a coal mine gas real-time distribution space simulation module, a coal mine ventilation stop area division module, a coal mine gas leakage inspection task generation module and a coal mine gas inspection task distribution module; The coal mine gas real-time distribution space simulation module is used to obtain coal mine geological structure distribution data and coal mine gas real-time concentration distribution data, and perform network topology simulation analysis on the coal mine geological structure distribution data to obtain the coal mine geological structure simulation space, and then perform gas distribution matching on the coal mine geological structure simulation space according to the coal mine gas real-time concentration distribution data to obtain the coal mine gas real-time distribution simulation space and send it to the coal mine ventilation stop area division module; The coal mine wind stop area division module is used to detect the wind distribution of the coal mine, obtain the wind distribution information data of the coal mine, and divide the wind stop area of ​​the coal mine gas real-time distribution simulation space based on the wind distribution information data of the coal mine, obtain the fixed wind stop area of ​​the coal mine gas distribution space and the temporary wind stop area of ​​the coal mine gas distribution space, and send them to the coal mine gas leakage inspection task generation module; The coal mine gas leakage inspection task generation module is used to perform zoned gas leakage hot spot analysis on the fixed ventilation stop area of ​​the coal mine gas distribution space and the temporary ventilation stop area of ​​the coal mine gas distribution space, obtain the coal mine gas leakage hot spot set, and generate inspection tasks according to the coal mine gas leakage hot spot set, obtain the coal mine gas inspection task list and send it to the coal mine gas inspection task distribution module; The coal mine gas inspection task distribution module is used to obtain the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and detect the inspection capability level of the coal mine inspection machine based on the historical inspection information data of the coal mine inspection machine and the inspection arrival distance data of the coal mine inspection machine, and then distribute the inspection tasks for the coal mine gas inspection task list according to the inspection capability level of the coal mine inspection machine to obtain the coal mine gas inspection task distribution result.

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