Method, system and equipment for testing permeability of gas-containing coal sample

Abstract

The invention discloses a method, a system and equipment for testing the permeability of a gas-containing coal sample, and relates to the technical field of coal seam gas testing. The gas-containing coal sample permeability testing method comprises the following steps: related data acquisition, fluctuation condition judgment, optimization effect evaluation and extraction evaluation judgment. According to the method, the gas fluctuation condition in the preset coal mine environment is evaluated by obtaining the coal mine environment data and the coal sample related data so as to judge whether coal mine environment optimization is executed or not, then the coal mine environment optimization effect is evaluated, and whether gas extraction optimization is executed or not is judged; then, acquiring a gas extraction optimization evaluation index after gas extraction optimization, and finally, comprehensively judging whether the permeability test of the preset coal sample is executed or not, so that the improvement of the accuracy of the permeability test of the gas-containing coal sample in the actual coal mine environment is realized. The problem that in the prior art, the permeability testing accuracy of the gas-containing coal sample in the actual coal mine environment is not high is solved.

Description

Technical Field

[0001] The invention relates to the technical field of coal seam gas testing, and in particular to a method, system and equipment for testing the permeability of a gas-containing coal sample. Background Art

[0002] As the depth of coal mining increases, the problem of gas release and accumulation becomes increasingly serious. Gas leakage may lead to safety accidents such as explosion and suffocation. Therefore, understanding the permeability of coal samples is crucial for gas monitoring and control. Traditional permeability test methods may not accurately simulate actual mining conditions, so new test methods need to be developed to improve the accuracy and repeatability of the test. The permeability test of gas-containing coal samples has important practical significance and broad application prospects in ensuring coal mine safety, promoting resource development, and promoting technological innovation.

[0003] The existing permeability test method for gas-containing coal samples extracts representative gas-containing coal samples from mines or boreholes, uses professional testing equipment to record data such as gas flow and coal sample deformation during the experiment, and builds a physical model for numerical analysis based on the existing experimental data. At the same time, it combines multiple testing methods to obtain a more comprehensive permeability assessment, and finally implements mining optimization and management strategies based on the test results, providing important support for the safe development and utilization of coalbed methane.

[0004] The working environment of underground coal mines is relatively complex, with variable geological conditions. There may be cracks and voids, which cause uneven airflow distribution, resulting in uneven physical and chemical properties of coal seams, affecting the permeability of coal samples. At the same time, the microstructure of coal samples is complex. If cracks and pores are unevenly distributed, the permeability test results may be inaccurate. In addition, signal shielding and interference in coal mines and changes in environmental factors such as temperature may also cause fluctuations in test results.

[0005] It is also necessary to consider that gas release is a common phenomenon in coal mines. It may be caused by factors such as stress changes in the coal seam and mining activities. Changes in gas pressure in the coal seam will affect the pore structure and permeability of the coal. Sudden changes in gas concentration will not only affect the test results, but may also bring safety risks. There is a problem that the permeability test of gas-containing coal samples in actual coal mine environments is not accurate. Summary of the invention

[0006] The present invention solves the problem of low accuracy of permeability testing of gas-containing coal samples in actual coal mine environments in the prior art by providing a method, system and device for testing permeability of gas-containing coal samples, thereby improving the accuracy of permeability testing of gas-containing coal samples in actual coal mine environments. The technical solution is as follows:

[0007] A method for testing the permeability of a gas-containing coal sample comprises the following steps: S1, obtaining coal mine environmental data in a preset coal mine environment within a preset time interval and coal sample related data of a preset coal sample; S2, evaluating the gas fluctuation situation in the preset coal mine environment according to the coal mine environmental data and the coal sample related data to obtain a gas fluctuation evaluation index, judging whether to perform coal mine environmental optimization based on the gas fluctuation evaluation index and a preset fluctuation threshold range, the gas fluctuation evaluation index being used to comprehensively quantify the gas fluctuation situation in the preset coal mine environment; S3, after performing coal mine environmental optimization, evaluating the effect of coal mine environmental optimization to obtain a coal mine environmental optimization evaluation index, judging whether to perform gas extraction optimization based on the coal mine environmental optimization evaluation index and a preset environmental optimization effect threshold range, the coal mine environmental optimization evaluation index being used to quantitatively evaluate the effect of coal mine environmental optimization; S4, obtaining a gas extraction optimization evaluation index after performing gas extraction optimization, comprehensively judging whether to perform a permeability test of a preset coal sample according to the gas fluctuation evaluation index and the coal mine environmental optimization evaluation index, the gas extraction optimization evaluation index being used to quantitatively evaluate the effect of gas extraction optimization.

[0008] Optionally, the specific steps of evaluating the gas fluctuation situation in a preset coal mine environment according to the coal mine environment data and coal sample related data to obtain the gas fluctuation assessment index are as follows: obtain the fluctuation assessment related mean value, fluctuation assessment related standard deviation, assessment related size value and fluctuation assessment related measurement value at a preset time within the preset time interval; obtain the environmental impact factor and the coal sample impact factor according to the fluctuation assessment related mean value, fluctuation assessment related standard deviation, assessment related size value and fluctuation assessment related measurement value in combination with the fluctuation assessment related reference data obtained from a preset database, add the environmental impact factor and the coal sample impact factor to obtain the comprehensive fluctuation impact factor, the fluctuation assessment related reference data includes fluctuation assessment related weight and fluctuation assessment related reference minimum deviation; combine the comprehensive fluctuation impact factor, fluctuation assessment related measurement value, fluctuation assessment related mean value, assessment related size value with the reference gas concentration fluctuation minimum value, gas concentration fluctuation reference minimum deviation, fluctuation stability situation weight and fluctuation amplitude situation weight obtained from the preset database to obtain the gas fluctuation assessment index.

[0009] Optionally, the method for obtaining the gas fluctuation assessment index is as follows:

[0010]

[0011] δ h,m =δ h +δ m ;

[0012]

[0013] Where Gf represents the gas fluctuation assessment index, i represents the number of the preset time in the preset time interval, i = 1, 2, ..., N, N represents the total number of preset time in the preset time interval, α represents the weight of the fluctuation stability, β represents the weight of the fluctuation amplitude, C g (i) represents the measured value of gas concentration at the i-th preset moment, C ′ g represents the mean value of gas concentration, ΔW represents the minimum fluctuation value of reference gas concentration, C g,max Indicates the maximum gas concentration, C g,min Indicates the minimum value of gas concentration, ΔC indicates the minimum deviation of gas concentration fluctuation reference, δ h,m represents the comprehensive impact factor of fluctuation, δ h represents the environmental impact factor, δ m represents the influencing factor of the coal sample, ε1 represents the weight of the ambient temperature, ε2 represents the weight of the ambient humidity, ε3 represents the weight of the ambient pressure, T max represents the maximum measured value of the coal mine temperature, T(i) represents the measured value of the coal mine temperature at the i-th preset moment, μ T represents the mean temperature of the coal mine, σ T represents the standard deviation of coal mine temperature, T ′ Indicates the minimum reference deviation of coal mine temperature, S max represents the maximum measured value of coal mine humidity, S(i) represents the measured value of coal mine humidity at the i-th preset moment, μ S represents the mean humidity of coal mine, σ S represents the standard deviation of coal mine humidity, S ′ Indicates the minimum reference deviation of coal mine humidity, Q max represents the maximum measured value of coal mine gas pressure, Q(i) represents the measured value of coal mine gas pressure at the i-th preset moment, μ Q represents the mean gas pressure in coal mines, σ Q represents the standard deviation of coal mine gas pressure, Q ′ Indicates the minimum reference deviation of coal mine gas pressure, represents the coal sample size weight, represents the porosity weight of the coal sample, Indicates the moisture content weight of coal sample, MC max represents the maximum measured value of the coal sample size, MC(i) represents the measured value of the coal sample size at the i-th preset moment, μ MC represents the mean value of coal sample size, σ MC Indicates the standard deviation of coal sample size, MC ′ Indicates the minimum reference deviation of coal sample size, MK max represents the maximum measured value of coal sample porosity, MK(i) represents the measured value of coal sample porosity at the i-th preset moment, μ MK represents the mean porosity of coal samples, σ KKIndicates the standard deviation of coal sample porosity, MK ′ Indicates the minimum reference deviation of coal sample porosity, MS max represents the maximum measured value of the moisture content of the coal sample, MS(i) represents the measured value of the moisture content of the coal sample at the i-th preset moment, μ MS represents the mean moisture content of coal samples, σ MS Indicates the standard deviation of moisture content in coal samples, MS ′ Indicates the reference minimum deviation of moisture content in coal samples.

[0014] Optionally, the specific steps for determining whether to execute coal mine environment optimization based on the gas fluctuation assessment index and the preset fluctuation threshold range are as follows: compare the gas fluctuation assessment index with the preset fluctuation threshold range: if the gas fluctuation assessment index is within the preset fluctuation threshold range, coal mine environment optimization is not executed, and at the same time, the coal mine environment data, coal sample related data and gas fluctuation assessment index are backed up in real time and uploaded to cloud storage; if the gas fluctuation assessment index exceeds the preset fluctuation threshold range, coal mine environment optimization is executed.

[0015] Optionally, the specific steps of evaluating the effect of coal mine environment optimization to obtain a coal mine environment optimization evaluation index are as follows: obtaining initial optimization related data at the time to be optimized within a preset time interval before executing the coal mine environment optimization, the initial optimization related data including initial gas concentration, initial ambient temperature, initial ambient humidity and initial ambient ventilation volume; obtaining optimization evaluation related data at the optimization time within a preset time interval after executing the coal mine environment optimization, the optimization evaluation related data including optimized gas concentration, optimized ambient temperature, optimized ambient humidity and optimized ambient ventilation volume; processing the initial optimization related data and the optimization evaluation related data to obtain an optimization evaluation The relevant change rate, the optimization evaluation relevant change rate includes the environment optimization gas concentration change rate, the environment optimization temperature change rate, the environment optimization humidity change rate, and the environment optimization ventilation volume change rate; the optimization evaluation relevant change rate is ratioed with the relevant change rate reference value obtained from the preset database, and then processed with the optimization evaluation weight obtained from the preset database to obtain the coal mine environment optimization evaluation index, the relevant change rate reference value includes the gas change rate reference value, the ambient temperature reference change rate, the ambient humidity reference change rate, and the ambient ventilation volume reference change rate, and the optimization evaluation weight includes the ambient temperature optimization weight, the ambient humidity optimization weight, and the ambient ventilation volume optimization weight.

[0016] Optionally, the specific steps for determining whether to perform gas extraction optimization based on the coal mine environment optimization evaluation index and the preset environment optimization effect threshold range are as follows: compare the coal mine environment optimization evaluation index with the preset environment optimization effect threshold range: if the coal mine environment optimization evaluation index is within the preset environment optimization effect threshold range, then gas extraction optimization is not performed, and the coal mine environment optimization evaluation index is backed up in real time and transmitted to a preset coal mine gas fluctuation analysis database; if the coal mine environment optimization evaluation index exceeds the preset environment optimization effect threshold range, then gas extraction optimization is performed, and the gas extraction optimization evaluation index after performing the gas extraction optimization is obtained.

[0017] Optionally, the specific steps for obtaining the gas extraction optimization evaluation index after performing gas extraction optimization are as follows: obtaining the initial gas concentration of extraction at the extraction time within a preset time interval before performing the gas extraction optimization; obtaining the extraction-related values ​​at the extraction time within the preset time interval after performing the gas extraction optimization, the extraction-related values ​​including the extraction optimization flow rate, the extraction optimization pressure and the extraction optimization gas concentration; combining the initial gas concentration and the extraction-related values ​​with the extraction optimization-related reference data obtained from a preset database, and then performing processing operations to obtain the gas extraction optimization evaluation index, the extraction optimization-related reference data including the extraction flow rate influencing factor, the extraction pressure influencing factor, the extraction flow rate reference value and the extraction pressure reference value.

[0018] Optionally, the specific steps of comprehensively judging whether to perform a permeability test of a preset coal sample based on the gas fluctuation assessment index and the coal mine environment optimization assessment index are as follows: A1, judging whether the obtained gas fluctuation assessment index is within a preset fluctuation threshold range, if so, performing a permeability test of a preset coal sample, otherwise executing A2; A2, performing coal mine environment optimization and judging whether the obtained coal mine environment optimization assessment index is within a preset environment optimization effect threshold range, if the coal mine environment optimization assessment index is within the preset environment optimization effect threshold range, performing a permeability test of a preset coal sample, otherwise executing A3; A3, judging whether the obtained gas extraction optimization assessment index is within a preset extraction optimization effect threshold range, if the gas extraction optimization assessment index is within the preset extraction optimization effect threshold range, performing a permeability test of a preset coal sample, otherwise, not performing a permeability test of a preset coal sample, and reminding the preset personnel to perform gas fluctuation abnormality detection measures.

[0019] The present invention provides a permeability testing system for gas-containing coal samples, comprising a relevant data acquisition module, a fluctuation situation judgment module, an optimization effect evaluation module and an extraction evaluation judgment module; wherein the relevant data acquisition module is used to obtain coal mine environmental data in a preset coal mine environment within a preset time interval and coal sample related data of a preset coal sample; the fluctuation situation judgment module is used to evaluate the gas fluctuation situation in the preset coal mine environment according to the coal mine environmental data and the coal sample related data to obtain a gas fluctuation evaluation index, and judge whether to perform coal mine environment optimization based on the gas fluctuation evaluation index and the preset fluctuation threshold range, and the gas fluctuation evaluation index is used to comprehensively quantify the gas fluctuation situation in the preset coal mine environment. dynamic situation; the optimization effect evaluation module is used to evaluate the effect of coal mine environment optimization after executing coal mine environment optimization to obtain a coal mine environment optimization evaluation index, and judge whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and a preset environment optimization effect threshold range, and the coal mine environment optimization evaluation index is used to quantitatively evaluate the effect of coal mine environment optimization; the extraction evaluation judgment module is used to obtain the gas extraction optimization evaluation index after executing gas extraction optimization, and make a comprehensive judgment on whether to execute the permeability test of the preset coal sample according to the gas fluctuation evaluation index and the coal mine environment optimization evaluation index, and the gas extraction optimization evaluation index is used to quantitatively evaluate the effect of gas extraction optimization.

[0020] The present invention provides an electronic device, which includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the method for testing the permeability of a gas-containing coal sample.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. By acquiring coal mine environmental data and coal sample related data, the gas fluctuation situation in the preset coal mine environment is evaluated to determine whether to implement coal mine environmental optimization, and then the effect of coal mine environmental optimization is evaluated to determine whether to implement gas extraction optimization, and finally a comprehensive judgment is made whether to perform the permeability test of the preset coal sample, thereby realizing the evaluation and optimization of the gas fluctuation situation during the permeability test of the gas-containing coal sample, and then realizing the improvement of the accuracy of the permeability test of the gas-containing coal sample in the actual coal mine environment, which effectively solves the problem of low accuracy of the permeability test of the gas-containing coal sample in the actual coal mine environment in the prior art.

[0023] 2. By obtaining the fluctuation assessment related mean, fluctuation assessment related standard deviation, assessment related size value and fluctuation assessment related measurement value, the environmental impact factor and coal sample impact factor are obtained at the same time, and then the environmental impact factor and the coal sample impact factor are added to obtain the comprehensive fluctuation impact factor, and finally, it is combined with the reference gas concentration fluctuation minimum value, gas concentration fluctuation reference minimum deviation, fluctuation stability weight and fluctuation amplitude weight obtained from the preset database to obtain the gas fluctuation assessment index, thereby realizing the numerical evaluation of the gas fluctuation situation in the preset coal mine environment, and then realizing a more accurate evaluation of the gas fluctuation situation in the preset coal mine environment.

[0024] 3. By obtaining the initial gas concentration of the extraction time at the extraction time within the preset time interval before executing the gas extraction optimization, and then obtaining the extraction-related value at the extraction time within the preset time interval after executing the gas extraction optimization, the initial gas concentration and the extraction-related value are combined with the extraction optimization-related reference data obtained from the preset database, and then processed and calculated to obtain the gas extraction optimization evaluation index, thereby realizing the numerical evaluation of the gas extraction optimization effect, and then realizing a more accurate evaluation of the gas extraction optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flow chart of a method for testing the permeability of a gas-containing coal sample provided in an embodiment of the present application;

[0027] Figure 2 A schematic diagram of the change of the gas extraction optimization evaluation index provided in the embodiment of the present application, wherein (a) is a schematic diagram of the change of the gas extraction optimization evaluation index with the extraction optimization flow rate, and (b) is a schematic diagram of the change of the gas extraction optimization evaluation index with the extraction optimization gas concentration;

[0028] Figure 3 A structural schematic diagram of a gas-containing coal sample permeability testing system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "one", "one" or "the" do not indicate a quantitative limitation, but indicate the existence of at least one. Words such as "include" or "comprise" mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0031] It should be noted that the terms "up", "down", "left", "right", "front", "back", etc. used in the present invention are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0032] In view of the problem in the prior art that the accuracy of permeability testing of gas-containing coal samples in actual coal mine environments is low, the present invention provides a method, system and equipment for permeability testing of gas-containing coal samples, thereby improving the accuracy of permeability testing of gas-containing coal samples in actual coal mine environments.

[0033] like Figure 1As shown, it is a flow chart of a method for testing the permeability of a gas-containing coal sample provided by the present invention. The method for testing the permeability of a gas-containing coal sample provided by the present invention comprises the following steps: S1, relevant data acquisition: obtaining coal mine environment data in a preset coal mine environment within a preset time interval and coal sample related data of a preset coal sample; S2, fluctuation situation judgment: evaluating the gas fluctuation situation in the preset coal mine environment according to the coal mine environment data and the coal sample related data to obtain a gas fluctuation evaluation index, judging whether to perform coal mine environment optimization based on the gas fluctuation evaluation index and the preset fluctuation threshold range, and the gas fluctuation evaluation index is used to comprehensively quantify the gas fluctuation situation in the preset coal mine environment. S3, optimization effect evaluation: after executing coal mine environment optimization, evaluate the effect of coal mine environment optimization to obtain the coal mine environment optimization evaluation index, and judge whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and the preset environment optimization effect threshold range. The coal mine environment optimization evaluation index is used to quantitatively evaluate the effect of coal mine environment optimization; S4, extraction evaluation judgment: obtain the gas extraction optimization evaluation index after executing gas extraction optimization, and make a comprehensive judgment on whether to execute the preset coal sample permeability test based on the gas fluctuation evaluation index and the coal mine environment optimization evaluation index. The gas extraction optimization evaluation index is used to quantitatively evaluate the effect of gas extraction optimization.

[0034] In this embodiment, the coal mine environmental data includes the coal mine environmental temperature, the coal mine environmental humidity, the coal mine environmental gas concentration and the coal mine environmental air pressure; the coal sample related data includes the coal sample size, the coal sample porosity and the coal sample water content.

[0035] Specifically, the coal mine environment temperature, coal mine environment humidity and coal mine environment air pressure are obtained by deploying temperature sensors, humidity sensors and air pressure sensors in the preset coal mine environment ventilation system; the coal mine environment gas concentration is obtained by a portable gas detector.

[0036] The coal sample size is obtained by a laser particle size analyzer, the coal sample porosity is obtained by a gas adsorption instrument (such as a Brenner-Emmett-Taylor analyzer), and the coal sample moisture content is obtained by an infrared moisture meter.

[0037] By acquiring coal mine environmental data and coal sample related data, comprehensive monitoring of gas fluctuations during permeability testing of gas-containing coal samples is carried out, thereby improving the reliability of gas fluctuation data and achieving a more accurate assessment of gas fluctuations.

[0038] The specific steps of evaluating the gas fluctuation situation in the preset coal mine environment according to the coal mine environmental data and the coal sample related data to obtain the gas fluctuation assessment index are as follows: obtaining the fluctuation assessment related mean value, the fluctuation assessment related standard deviation, the assessment related size value and the fluctuation assessment related measurement value at the preset time interval in the preset time interval; obtaining the environmental impact factor (i.e., δ in the gas fluctuation assessment index) according to the fluctuation assessment related mean value, the fluctuation assessment related standard deviation, the assessment related size value and the fluctuation assessment related measurement value combined with the fluctuation assessment related reference data obtained from the preset database; h ) and coal sample influence factor (i.e., δ m ), the environmental impact factor and the coal sample impact factor are added to obtain the fluctuation comprehensive impact factor (i.e., the δ h,m ), the fluctuation assessment related reference data include fluctuation assessment related weights and fluctuation assessment related reference minimum deviations; the comprehensive fluctuation influencing factors, fluctuation assessment related measurement values, fluctuation assessment related means, assessment related magnitude values ​​are combined with the reference gas concentration fluctuation minimum value, gas concentration fluctuation reference minimum deviation, fluctuation stability weights and fluctuation amplitude weights obtained from the preset database to obtain the gas fluctuation assessment index.

[0039] The method for obtaining the gas fluctuation assessment index is as follows:

[0040]

[0041] δ h,m =δ h +δ m ;

[0042]

[0043] Where Gf represents the gas fluctuation assessment index, i represents the number of the preset time in the preset time interval, i = 1, 2, ..., N, N represents the total number of preset time in the preset time interval, α represents the weight of the fluctuation stability, β represents the weight of the fluctuation amplitude, C g (i) represents the measured value of gas concentration at the i-th preset moment, C ′ g represents the mean value of gas concentration, ΔW represents the minimum fluctuation value of reference gas concentration, C g,max Indicates the maximum gas concentration, C g,min Indicates the minimum value of gas concentration, ΔC indicates the minimum deviation of gas concentration fluctuation reference, δ h,m represents the comprehensive impact factor of fluctuation, δ h represents the environmental impact factor, δ mrepresents the influencing factor of the coal sample, ε1 represents the weight of the ambient temperature, ε2 represents the weight of the ambient humidity, ε3 represents the weight of the ambient pressure, T max represents the maximum measured value of the coal mine temperature, T(i) represents the measured value of the coal mine temperature at the i-th preset moment, μ T represents the mean temperature of the coal mine, σ T represents the standard deviation of coal mine temperature, T ′ Indicates the minimum reference deviation of coal mine temperature, S max represents the maximum measured value of coal mine humidity, S(i) represents the measured value of coal mine humidity at the i-th preset moment, μ S represents the mean humidity of coal mine, σ S represents the standard deviation of coal mine humidity, S ′ Indicates the minimum reference deviation of coal mine humidity, Q max represents the maximum measured value of coal mine gas pressure, Q(i) represents the measured value of coal mine gas pressure at the i-th preset moment, μ Q represents the mean gas pressure in coal mines, σ Q represents the standard deviation of coal mine gas pressure, Q ′ Indicates the minimum reference deviation of coal mine gas pressure, represents the coal sample size weight, represents the porosity weight of the coal sample, Indicates the moisture content weight of coal sample, MC max represents the maximum measured value of the coal sample size, MC(i) represents the measured value of the coal sample size at the i-th preset moment, μ MC represents the mean value of coal sample size, σ MC Indicates the standard deviation of coal sample size, MC ′ Indicates the minimum reference deviation of coal sample size, MK max represents the maximum measured value of coal sample porosity, MK(i) represents the measured value of coal sample porosity at the i-th preset moment, μ MK represents the mean porosity of coal samples, σ MK Indicates the standard deviation of coal sample porosity, MK ′ Indicates the minimum reference deviation of coal sample porosity, MS max represents the maximum measured value of the moisture content of the coal sample, MS(i) represents the measured value of the moisture content of the coal sample at the i-th preset moment, μ MS represents the mean moisture content of coal samples, σ MS Indicates the standard deviation of moisture content in coal samples, MS ′ Indicates the reference minimum deviation of moisture content in coal samples.

[0044] Specifically, the fluctuation assessment related means include the gas concentration mean, the coal mine temperature mean, the coal mine humidity mean, the coal mine gas pressure mean, the coal sample size mean, the coal sample porosity mean and the coal sample water content mean; the fluctuation assessment related means are obtained by taking the arithmetic average of the coal mine environmental data and coal sample related data at different preset times within a preset time interval, wherein the fluctuation assessment related means can also be obtained through the statistical toolbox in MATLAB (such as mean(data)).

[0045] The standard deviations related to fluctuation assessment include the standard deviation of coal mine temperature, the standard deviation of coal mine humidity, the standard deviation of coal mine gas pressure, the standard deviation of coal sample size, the standard deviation of coal sample porosity and the standard deviation of coal sample moisture content; among them, the standard deviation related to fluctuation assessment is obtained through the statistical toolbox in MATLAB (such as std(data)).

[0046] The evaluation-related size values ​​include the maximum gas concentration, the minimum gas concentration, the maximum measured value of coal mine temperature, the maximum measured value of coal mine humidity, the maximum measured value of coal mine gas pressure, the maximum measured value of coal sample size, the maximum measured value of coal sample porosity and the maximum measured value of coal sample water content; among them, the evaluation-related size values ​​are obtained through the statistical toolbox in MATLAB (such as max(data), min(data)).

[0047] The measurement values ​​related to fluctuation assessment include gas concentration measurement values, coal mine temperature measurement values, coal mine humidity measurement values, coal mine gas pressure measurement values, coal sample size measurement values, coal sample porosity measurement values ​​and coal sample water content measurement values; the measurement values ​​related to fluctuation assessment are the measurement values ​​of coal mine environmental data and coal sample related data at any preset time within a preset time interval.

[0048] It should be understood that the fluctuation assessment related weights include ambient temperature weight, ambient humidity weight, ambient air pressure weight, coal sample size weight, coal sample porosity weight and coal sample moisture content weight.

[0049] Among them, the ambient temperature weight is used to describe the degree of influence of the coal mine ambient temperature on the environmental influencing factors. Specifically, the ambient temperature weight is the weight corresponding to the ambient temperature preset in the preset database, which represents the numerical value of the influence of the coal mine ambient temperature on the environmental influencing factors. When used, the weight corresponding to the preset ambient temperature can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal mine ambient temperature and the weight corresponding to the preset ambient temperature in the preset database form a mapping set, and the real-time coal mine ambient temperature is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0050] The environmental humidity weight is used to describe the degree of influence of the coal mine environmental humidity on environmental influencing factors. Specifically, the environmental humidity weight is the weight corresponding to the environmental humidity preset in the preset database, which represents the numerical value of the influence of the coal mine environmental humidity on environmental influencing factors. When used, the weight corresponding to the preset environmental humidity can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal mine environmental humidity and the weight corresponding to the preset environmental humidity in the preset database form a mapping set, and the real-time coal mine environmental humidity is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0051] In this example, the sum of the ambient temperature weight, ambient humidity weight, and ambient air pressure weight is 1. The ambient air pressure weight is used to describe the degree of influence of the ambient air pressure in coal mines on environmental impact factors.

[0052] Among them, the coal sample size weight is used to describe the influence of the coal sample size on the coal sample influencing factor. Specifically, the coal sample size weight is the weight corresponding to the coal sample size preset in the preset database, which represents the numerical value of the influence of the coal sample size on the coal sample influencing factor. When used, the weight corresponding to the preset coal sample size can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal sample size and the weight corresponding to the coal sample size preset in the preset database form a mapping set, and the real-time coal sample size is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0053] The coal sample porosity weight is used to describe the influence of the coal sample porosity on the coal sample influencing factor. Specifically, the coal sample porosity weight is the weight corresponding to the coal sample porosity preset in the preset database, which represents the numerical value of the influence of the coal sample porosity on the coal sample influencing factor. When used, the weight corresponding to the preset coal sample porosity can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal sample porosity and the weight corresponding to the coal sample porosity preset in the preset database form a mapping set, and the real-time coal sample porosity is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0054] In this example, the sum of the coal sample size weight, coal sample porosity weight and coal sample moisture content weight is 1. The coal sample moisture content weight is used to describe the influence of the coal sample moisture content on the coal sample influencing factor.

[0055] The reference minimum deviations related to fluctuation assessment include the reference minimum deviation of coal mine temperature, the reference minimum deviation of coal mine humidity, the reference minimum deviation of coal mine gas pressure, the reference minimum deviation of coal sample size, the reference minimum deviation of coal sample porosity and the reference minimum deviation of coal sample moisture content.

[0056] The minimum reference deviation of coal mine temperature is represented by summing and averaging the collected historical coal mine temperature deviations; the minimum reference deviation of coal mine humidity is represented by summing and averaging the collected historical coal mine humidity deviations; the minimum reference deviation of coal mine air pressure is represented by summing and averaging the collected historical coal sample size deviations; the minimum reference deviation of coal sample size is represented by summing and averaging the collected historical coal sample porosity deviations; the minimum reference deviation of coal sample moisture content is represented by summing and averaging the collected historical coal sample moisture content deviations.

[0057] The fluctuation stability weight is used to describe the influence of the gas fluctuation stability situation on the gas fluctuation assessment index. Specifically, the fluctuation stability weight is the weight corresponding to the fluctuation stability situation preset in the preset database, which represents the numerical value of the influence of the gas fluctuation stability situation on the gas fluctuation assessment index. When used, the weight corresponding to the preset fluctuation stability situation can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the gas fluctuation stability situation and the weight corresponding to the fluctuation stability situation preset in the preset database form a mapping set, and the real-time gas fluctuation stability situation is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0058] In this example, the sum of the fluctuation stability weight and the fluctuation amplitude weight is 1. The fluctuation amplitude weight is used to describe the impact of the gas fluctuation amplitude on the gas fluctuation assessment index.

[0059] The gas fluctuation assessment index is used to comprehensively quantify the gas fluctuation in the preset coal mine environment. Specifically, for example, as the difference between the maximum gas concentration and the minimum gas concentration (i.e., C g (i)-C ′ g) increases, which means that the fluctuation amplitude of gas concentration increases, and the total number of gas fluctuation assessments increases accordingly; in addition, the gas fluctuation assessment index includes parameters in multiple aspects, among which, for example, the increase of coal mine temperature promotes the release of gas, and the increase of coal sample porosity promotes the release of gas, which leads to an increase in gas fluctuations; at the same time, each parameter is related and does not exist independently. For example, with the increase of coal mine temperature measurement value, the gas concentration measurement value increases. At the same time, the change of coal mine temperature measurement value also causes the coal mine humidity measurement value to change, thereby affecting the coal sample water content measurement value; with the increase of coal sample porosity measurement value, the gas release rate increases accordingly, thereby leading to an increase in gas concentration measurement value; therefore, through a quantitative approach, the correlation and mutual influence between various factors are taken into account, and a comprehensive analysis is conducted to obtain the gas fluctuation assessment index; the numerical evaluation of the gas fluctuation situation in the preset coal mine environment is realized, and the gas fluctuation situation in the preset coal mine environment is judged through numerical evaluation, thereby achieving the improvement of the accuracy of gas fluctuation situation assessment in the preset coal mine environment.

[0060] Among them, the specific steps for judging whether to execute coal mine environment optimization based on the gas fluctuation assessment index and the preset fluctuation threshold range are as follows: Compare the gas fluctuation assessment index with the preset fluctuation threshold range: If the gas fluctuation assessment index is within the preset fluctuation threshold range, the coal mine environment optimization will not be executed, and the coal mine environmental data, coal sample related data and gas fluctuation assessment index will be backed up in real time and uploaded to cloud storage; If the gas fluctuation assessment index exceeds the preset fluctuation threshold range, the coal mine environment optimization will be executed.

[0061] In this embodiment, the preset fluctuation threshold range is obtained from a database. Specifically, the preset fluctuation threshold range is set by professionals according to standards in the field. For example, the preset fluctuation threshold range is set to 0 to 2. By making judgments based on the preset fluctuation threshold range, a more accurate judgment of the gas fluctuation situation in the preset coal mine environment is achieved.

[0062] Specifically, the coal mine environment optimization can be performed by adjusting the factors affecting the coal mine environment, for example, increasing the initial environmental ventilation volume by 2m 3 / s, and regulation is achieved by increasing the fan power.

[0063] Among them, the specific steps for evaluating the effect of coal mine environment optimization to obtain the coal mine environment optimization evaluation index are as follows: obtain the initial optimization related data at the optimization time within the preset time interval before executing the coal mine environment optimization, the initial optimization related data include initial gas concentration, initial ambient temperature, initial ambient humidity and initial ambient ventilation volume; obtain the optimization evaluation related data at the optimization time within the preset time interval after executing the coal mine environment optimization, the optimization evaluation related data include optimized gas concentration, optimized ambient temperature, optimized ambient humidity and optimized ambient ventilation volume; process the initial optimization related data and the optimization evaluation related data to obtain the optimization evaluation related data. The relevant change rate, the optimization evaluation related change rate includes the environment optimization gas concentration change rate, the environment optimization temperature change rate, the environment optimization humidity change rate, and the environment optimization ventilation volume change rate; the optimization evaluation related change rate is ratioed with the relevant change rate reference value obtained from the preset database, and then processed with the optimization evaluation weight obtained from the preset database to obtain the coal mine environment optimization evaluation index. The relevant change rate reference value includes the gas change rate reference value, the ambient temperature reference change rate, the ambient humidity reference change rate, and the ambient ventilation volume reference change rate. The optimization evaluation weights include the ambient temperature optimization weight, the ambient humidity optimization weight, and the ambient ventilation volume optimization weight.

[0064] The method for obtaining the coal mine environment optimization evaluation index is as follows:

[0065]

[0066] In the formula, Gy represents the coal mine environment optimization evaluation index, L g Indicates the change rate of gas concentration in environmental optimization, L ′ g represents the reference change rate of gas concentration, τ1 represents the optimization weight of ambient temperature, L w Indicates the environmental optimization temperature change rate, L ′ w represents the reference change rate of ambient temperature, τ2 represents the optimization weight of ambient humidity, L s Indicates the environmental optimization humidity change rate, L ′ s represents the reference change rate of ambient humidity, τ3 represents the optimization weight of ambient ventilation, L f Indicates the change rate of environmental optimization ventilation volume, L ′ f It represents the reference change rate of the ambient ventilation volume, and GF represents the preset fluctuation threshold range.

[0067] It should be understood that the time to be optimized within the preset time interval to be optimized is used to describe any moment within the preset time interval before the coal mine environment optimization is executed; the optimization time within the preset time interval is used to describe any moment within the preset time interval after the coal mine environment optimization is executed.

[0068] Among them, initial optimization related data and optimization evaluation related data are obtained by deploying gas concentration sensors, temperature sensors, humidity sensors and flow meters in the preset coal mine environment; the optimization evaluation related change rate is obtained by performing a ratio operation on the absolute value of the subtraction operation between the initial optimization related data and the optimization evaluation related data and the corresponding initial optimization related data.

[0069] Among them, the ambient temperature optimization weight is used to describe the influence of the coal mine ambient temperature optimization situation on the coal mine environmental optimization evaluation index. Specifically, the ambient temperature optimization weight is the weight corresponding to the ambient temperature optimization preset in the preset database, which represents the numerical value of the influence of the coal mine ambient temperature optimization situation on the coal mine environmental optimization evaluation index. When used, the weight corresponding to the preset ambient temperature optimization can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal mine ambient temperature optimization situation and the weight corresponding to the ambient temperature optimization preset in the preset database form a mapping set, and the real-time coal mine ambient temperature optimization situation is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0070] The environmental humidity optimization weight is used to describe the influence of the coal mine environmental humidity optimization situation on the coal mine environmental optimization evaluation index. Specifically, the environmental humidity optimization weight is the weight corresponding to the environmental humidity optimization preset in the preset database, which represents the numerical value of the influence of the coal mine environmental humidity optimization situation on the coal mine environmental optimization evaluation index. When used, the weight corresponding to the preset environmental humidity optimization can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the coal mine environmental humidity optimization situation and the weight corresponding to the preset environmental humidity optimization in the preset database form a mapping set, and the real-time coal mine environmental humidity optimization situation is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0071] In this example, the sum of the ambient temperature optimization weight, ambient humidity optimization weight and ambient ventilation volume optimization weight is 1. The ambient ventilation volume optimization weight is used to describe the influence of coal mine ambient ventilation volume optimization on the coal mine environmental optimization evaluation index.

[0072] Specific assumptions: the ambient temperature optimization weight is 0.3, the ambient humidity optimization weight is 0.4, the ambient ventilation volume optimization weight is 0.3, the gas concentration reference change rate is 0.1, the ambient temperature reference change rate is 0.1, the ambient humidity reference change rate is 0.05, and the ambient ventilation volume reference change rate is 0.15; the above method can be used to calculate the coal mine environment optimization evaluation index, and the change statistics of the coal mine environment optimization evaluation index are shown in Table 1:

[0073] Table 1 Statistics of changes in coal mine environment optimization evaluation index

[0074]

[0075] It can be seen from Table 1 that with the increase of the environmental optimization temperature change rate, environmental optimization humidity change rate and environmental optimization ventilation volume change rate, the environmental optimization gas concentration change rate increases accordingly, that is, the optimized gas concentration decreases, which in turn leads to an increase in the coal mine environment optimization evaluation index; changes in the environmental optimization temperature change rate, environmental optimization humidity change rate, environmental optimization ventilation volume change rate and environmental optimization gas concentration change rate all directly lead to changes in the coal mine environment optimization evaluation index.

[0076] In addition, the coal mine environment optimization evaluation index includes parameters from multiple aspects, and the various parameters are related and do not exist independently. For example, increasing the ventilation volume can dilute the gas concentration in the coal mine environment, that is, the change in the environmental optimization ventilation volume change rate causes the environmental optimization gas concentration change rate to change accordingly. In addition, the change in the environmental optimization ventilation volume will not only affect the environmental optimization gas concentration change rate, but also directly affect the environmental optimization temperature change rate and the environmental optimization humidity change rate, that is, moisture will be discharged or introduced with the air flow, thereby causing the environmental optimization humidity change rate to change; in addition, with the increase in temperature, a larger ventilation volume is required to ensure air flow, which in turn causes the environmental optimization ventilation volume to change accordingly; therefore, through a quantitative approach, the correlation and mutual influence between various factors are taken into account, and a comprehensive analysis is performed to obtain the coal mine environment optimization evaluation index, which realizes the numerical evaluation of the coal mine environment optimization effect, and the coal mine environment optimization effect is judged through numerical evaluation, thereby achieving a more accurate evaluation of the coal mine environment optimization effect.

[0077] Among them, the specific steps for judging whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and the preset environment optimization effect threshold range are as follows: compare the coal mine environment optimization evaluation index with the preset environment optimization effect threshold range: if the coal mine environment optimization evaluation index is within the preset environment optimization effect threshold range, gas extraction optimization will not be executed, and the coal mine environment optimization evaluation index will be backed up in real time and transmitted to the preset coal mine gas fluctuation analysis database; if the coal mine environment optimization evaluation index exceeds the preset environment optimization effect threshold range, gas extraction optimization will be executed, and the gas extraction optimization evaluation index after executing the gas extraction optimization will be obtained.

[0078] In this embodiment, it should be understood that the gas extraction optimization adjusts the working state of the extraction equipment through a PLC controller or a SCADA system, specifically, it is achieved by adjusting the flow rate and extraction pressure of the extraction pump; wherein, the preset environmental optimization effect threshold range is obtained from a database, specifically, the preset environmental optimization effect threshold range is set by professionals according to standards in the field, for example, the environmental optimization temperature change rate range (generally 0.01 to 0.1), the environmental optimization humidity change rate range (generally 0.01 to 0.1), the environmental optimization ventilation volume change rate range (generally 0.1 to 0.2) and the environmental optimization gas concentration change rate range (generally 0.01 to 0.1) are set to determine the preset environmental optimization effect threshold range; the coal mine environmental optimization effect is judged by the preset environmental optimization effect threshold range, thereby achieving a more accurate judgment of the coal mine environmental optimization effect.

[0079] Among them, the specific steps for obtaining the gas extraction optimization evaluation index after executing the gas extraction optimization are as follows: obtaining the initial gas concentration of extraction at the extraction time within the preset time interval before executing the gas extraction optimization; obtaining the extraction related values ​​at the extraction time within the preset time interval after executing the gas extraction optimization, the extraction related values ​​include the extraction optimization flow, the extraction optimization pressure and the extraction optimization gas concentration; combining the initial gas concentration and the extraction related values ​​with the extraction optimization related reference data obtained from the preset database, and then processing and calculating to obtain the gas extraction optimization evaluation index, the extraction optimization related reference data include the extraction flow influencing factor, the extraction pressure influencing factor, the extraction flow reference value and the extraction pressure reference value.

[0080] The method for obtaining the gas extraction optimization evaluation index is as follows:

[0081]

[0082] In the formula, Gc represents the gas extraction optimization evaluation index, ∈1 represents the extraction flow influencing factor, ∈2 represents the extraction pressure influencing factor, and C q represents the optimal extraction flow, C ′ q represents the reference value of extraction flow, C p represents the optimal extraction pressure, C ′ p Indicates the reference value of extraction pressure, C s represents the initial gas concentration of extraction, C ′ s It represents the optimized gas concentration for extraction, and GY represents the preset threshold range of environmental optimization effect.

[0083] It should be understood that the time to be extracted within the preset time interval is used to describe any moment within the preset time interval before the gas extraction optimization is performed; the extraction time within the preset extraction time interval is used to describe any moment within the preset time interval after the gas extraction optimization is performed.

[0084] In this embodiment, the initial gas concentration of extraction and the optimized gas concentration of extraction are obtained by a gas concentration sensor deployed in a preset coal mine environment; the optimized extraction flow is obtained by a turbine flowmeter deployed in the preset coal mine environment; the optimized extraction pressure is obtained by a differential pressure sensor deployed in the preset coal mine environment; the extraction flow reference value is represented by summing and averaging the collected historical extraction flow rates; and the extraction pressure reference value is represented by summing and averaging the collected historical extraction pressures.

[0085] The extraction flow impact factor is used to describe the influence of the extraction flow on the gas extraction optimization evaluation index. Specifically, the extraction flow impact factor is the impact factor corresponding to the extraction flow preset in the preset database, which represents the numerical value of the influence of the extraction flow on the gas extraction optimization evaluation index. When used, the preset extraction flow impact factor can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the extraction flow and the impact factor corresponding to the extraction flow preset in the preset database form a mapping set, and the real-time extraction flow is input into the mapping set to obtain the corresponding impact factor. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0086] In this example, the sum of the drainage flow rate influence factor and the drainage pressure influence factor is 1. The drainage pressure influence factor is used to describe the influence of the drainage pressure on the gas drainage optimization evaluation index.

[0087] like Figure 2 As shown in the figure, it is a change diagram of the gas extraction optimization evaluation index provided in the embodiment of the present application, in which the following settings are set: the extraction flow rate influence factor is 0.5, the extraction pressure influence factor is 0.5, and the extraction flow rate reference value is 20m 3 / min, the optimized drainage pressure is 5KPa, the drainage pressure reference value is 5, and the initial gas concentration of drainage is 20 (vol%).

[0088] Among them, (a) is a schematic diagram of the change of the gas extraction optimization evaluation index with the extraction optimization flow rate. Specifically, the initial gas concentration of extraction is set to 10 (vol%). As the ratio of the extraction optimization flow rate to the extraction flow rate reference value gradually approaches 1, the gas extraction optimization evaluation index increases accordingly.

[0089] (b) is a schematic diagram of the change of gas extraction optimization evaluation index with the extraction optimization gas concentration. Specifically, the extraction optimization flow rate is set to 10m 3 / min, as the gas concentration of extraction optimization decreases, the gas extraction optimization evaluation index also increases.

[0090] The gas extraction optimization evaluation index is used to quantitatively evaluate the effect of gas extraction optimization. Specifically, the gas extraction optimization evaluation index includes parameters in multiple aspects, and each parameter is related to each other and does not exist independently. For example, with the increase of the extraction optimization flow rate, the extraction optimization gas concentration decreases accordingly; while the extraction optimization flow rate increases, the extraction optimization pressure needs to be increased to ensure the effective extraction of gas, and with the increase of the extraction optimization pressure, the extraction optimization gas concentration is also affected. Therefore, through a quantitative approach, the correlation and mutual influence between various factors are considered, and a comprehensive analysis is performed to obtain the gas extraction optimization evaluation index; the numerical evaluation of the gas extraction optimization effect is realized, and the gas extraction optimization effect is judged through numerical evaluation, thereby achieving improved accuracy in the evaluation of the gas extraction optimization effect.

[0091] Among them, the specific steps of comprehensively judging whether to perform the permeability test of the preset coal sample according to the gas fluctuation assessment index and the coal mine environment optimization assessment index are as follows: A1, judging whether the obtained gas fluctuation assessment index is within the preset fluctuation threshold range, if so, performing the permeability test of the preset coal sample, otherwise, not performing the permeability test of the preset coal sample, and then executing A2; A2, performing coal mine environment optimization and judging whether the obtained coal mine environment optimization assessment index is within the preset environment optimization effect threshold range, if the coal mine environment optimization assessment index is within the preset environment optimization effect threshold range, performing the permeability test of the preset coal sample, otherwise, not performing the permeability test of the preset coal sample, and then executing A3; A3, judging whether the obtained gas extraction optimization assessment index is within the preset extraction optimization effect threshold range, if the gas extraction optimization assessment index is within the preset extraction optimization effect threshold range, performing the permeability test of the preset coal sample, otherwise, not performing the permeability test of the preset coal sample, and reminding the preset personnel to take gas fluctuation abnormality detection measures.

[0092] It should be understood that the preset coal sample permeability test includes a gas permeability test and a water permeability test, which are specifically implemented by a permeability test instrument (such as a gas permeameter); wherein the preset extraction optimization effect threshold range is obtained from a database, and specifically, the preset extraction optimization effect threshold range is set by professionals according to standards in the field, for example, setting the extraction optimization flow range (generally 10m 3 / min to 100m 3 / min), extraction optimization pressure range (generally 5KPa to 200KPa), extraction initial gas concentration range (generally 10 to 20), and extraction optimization gas concentration range (generally 0 to 10) to determine the preset extraction optimization effect threshold range; by combining the preset extraction optimization effect threshold range for judgment, a more accurate evaluation of the gas extraction optimization effect is achieved.

[0093] like Figure 3 As shown, it is a structural schematic diagram of a gas-containing coal sample permeability testing system provided by the present invention. The gas-containing coal sample permeability testing system provided by the present invention includes a relevant data acquisition module, a fluctuation situation judgment module, an optimization effect evaluation module and an extraction evaluation judgment module; wherein the relevant data acquisition module is used to obtain coal mine environmental data in a preset coal mine environment within a preset time interval and coal sample related data of a preset coal sample; the fluctuation situation judgment module is used to evaluate the gas fluctuation situation in the preset coal mine environment according to the coal mine environmental data and the coal sample related data to obtain a gas fluctuation evaluation index, and judge whether to execute coal mine environment optimization based on the gas fluctuation evaluation index and the preset fluctuation threshold range, and the gas fluctuation evaluation index It is used to comprehensively quantify the gas fluctuation in the preset coal mine environment; the optimization effect evaluation module is used to evaluate the effect of coal mine environment optimization after executing coal mine environment optimization to obtain the coal mine environment optimization evaluation index, and judge whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and the preset environment optimization effect threshold range. The coal mine environment optimization evaluation index is used to quantitatively evaluate the effect of coal mine environment optimization; the extraction evaluation judgment module is used to obtain the gas extraction optimization evaluation index after executing gas extraction optimization, and comprehensively judge whether to execute the permeability test of the preset coal sample based on the gas fluctuation evaluation index and the coal mine environment optimization evaluation index. The gas extraction optimization evaluation index is used to quantitatively evaluate the effect of gas extraction optimization.

[0094] In this embodiment, by acquiring coal mine environmental data and coal sample related data, the gas fluctuation situation during the permeability test of gas-containing coal samples is evaluated and optimized, thereby achieving improved accuracy of permeability testing of gas-containing coal samples in actual coal mine environments.

[0095] The present invention also provides an electronic device, which includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute a method for testing the permeability of a gas-containing coal sample.

[0096] There are a few points to note:

[0097] (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention, and other structures may refer to the general design.

[0098] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0099] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0100] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for testing the permeability of a gas-containing coal sample, characterized in that: The following steps are involved: S1, obtaining coal mine environment data in a preset coal mine environment and coal sample related data of a preset coal sample within a preset time interval; S2, evaluating the gas fluctuation situation in the preset coal mine environment according to the coal mine environment data and the coal sample related data to obtain a gas fluctuation evaluation index, and judging whether to perform coal mine environment optimization based on the gas fluctuation evaluation index and the preset fluctuation threshold range, wherein the gas fluctuation evaluation index is used to comprehensively quantify the gas fluctuation situation in the preset coal mine environment; S3, after executing the coal mine environment optimization, evaluating the effect of the coal mine environment optimization to obtain a coal mine environment optimization evaluation index, and judging whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and a preset environment optimization effect threshold range, wherein the coal mine environment optimization evaluation index is used to quantitatively evaluate the effect of the coal mine environment optimization; S4, obtaining a gas extraction optimization evaluation index after executing gas extraction optimization, and making a comprehensive judgment on whether to perform a permeability test of a preset coal sample based on the gas fluctuation evaluation index and the coal mine environment optimization evaluation index. The gas extraction optimization evaluation index is used to quantitatively evaluate the effect of gas extraction optimization.

2. The method for testing the permeability of a gas-containing coal sample according to claim 1, characterized in that: The specific steps of evaluating the gas fluctuation situation in the preset coal mine environment according to the coal mine environment data and the coal sample related data to obtain the gas fluctuation evaluation index are as follows: Obtaining a fluctuation assessment related mean value, a fluctuation assessment related standard deviation, an assessment related magnitude value for a preset time interval, and a fluctuation assessment related measurement value for a preset time within a preset time interval; According to the fluctuation assessment related mean, fluctuation assessment related standard deviation, assessment related size value and fluctuation assessment related measurement value, in combination with the fluctuation assessment related reference data obtained from the preset database, the environmental impact factor and the coal sample impact factor are obtained, and the environmental impact factor and the coal sample impact factor are added to obtain the fluctuation comprehensive impact factor, wherein the fluctuation assessment related reference data includes the fluctuation assessment related weight and the fluctuation assessment related reference minimum deviation; The gas fluctuation assessment index is obtained by combining the comprehensive fluctuation influencing factor, fluctuation assessment related measurement value, fluctuation assessment related mean value, assessment related size value with the reference gas concentration fluctuation minimum value, gas concentration fluctuation reference minimum deviation, fluctuation stability weight and fluctuation amplitude weight obtained from the preset database.

3. The method for testing the permeability of a gas-containing coal sample according to claim 2, characterized in that: The method for obtaining the gas fluctuation assessment index is as follows: d h,m =d h +d m ; Where Gf represents the gas fluctuation assessment index, i represents the number of the preset time in the preset time interval, i = 1, 2, ..., N, N represents the total number of preset time in the preset time interval, α represents the weight of the fluctuation stability, β represents the weight of the fluctuation amplitude, C g (i) represents the measured value of gas concentration at the i-th preset moment, C ′ g represents the mean value of gas concentration, ΔW represents the minimum fluctuation value of reference gas concentration, C g,max Indicates the maximum gas concentration, C g,min Indicates the minimum value of gas concentration, ΔC indicates the minimum deviation of gas concentration fluctuation reference, δ h,m represents the comprehensive impact factor of fluctuation, δ h represents the environmental impact factor, δ m represents the influencing factor of the coal sample, ε1 represents the weight of the ambient temperature, ε2 represents the weight of the ambient humidity, ε3 represents the weight of the ambient pressure, T max represents the maximum measured value of the coal mine temperature, T(i) represents the measured value of the coal mine temperature at the i-th preset moment, μ T represents the mean temperature of the coal mine, σ T represents the standard deviation of coal mine temperature, T ′ Indicates the minimum reference deviation of coal mine temperature, S max represents the maximum measured value of coal mine humidity, S(i) represents the measured value of coal mine humidity at the i-th preset moment, μ S represents the mean humidity of coal mine, σ S represents the standard deviation of coal mine humidity, S ′ Indicates the minimum reference deviation of coal mine humidity, Q max represents the maximum measured value of coal mine gas pressure, Q(i) represents the measured value of coal mine gas pressure at the i-th preset moment, μ Q represents the mean gas pressure in coal mines, σ Q represents the standard deviation of coal mine gas pressure, Q ′ Indicates the minimum reference deviation of coal mine gas pressure, represents the coal sample size weight, represents the porosity weight of the coal sample, Indicates the moisture content weight of coal sample, MC max represents the maximum measured value of the coal sample size, MC(i) represents the measured value of the coal sample size at the i-th preset moment, μ MC represents the mean value of coal sample size, σ MC Indicates the standard deviation of coal sample size, MC ′ Indicates the minimum reference deviation of coal sample size, MK max represents the maximum measured value of coal sample porosity, MK(i) represents the measured value of coal sample porosity at the i-th preset moment, μ MK represents the mean porosity of coal samples, σ MK Indicates the standard deviation of coal sample porosity, MK ′ Indicates the minimum reference deviation of coal sample porosity, MS max represents the maximum measured value of the moisture content of the coal sample, MS(i) represents the measured value of the moisture content of the coal sample at the i-th preset moment, μ MS represents the mean moisture content of coal samples, σ MS Indicates the standard deviation of moisture content in coal samples, MS ′ Indicates the reference minimum deviation of moisture content in coal samples.

4. The method for testing the permeability of a gas-containing coal sample according to claim 1, characterized in that: The specific steps of judging whether to perform coal mine environment optimization based on the gas fluctuation assessment index and the preset fluctuation threshold range are as follows: Compare the gas fluctuation assessment index with the preset fluctuation threshold range: If the gas fluctuation assessment index is within the preset fluctuation threshold, the coal mine environment optimization will not be performed, and the coal mine environment data, coal sample related data and gas fluctuation assessment index will be backed up in real time and uploaded to the cloud storage; If the gas fluctuation assessment index exceeds the preset fluctuation threshold range, the coal mine environment optimization is performed.

5. The method for testing the permeability of a gas-containing coal sample according to claim 1, characterized in that: The specific steps of evaluating the effect of coal mine environment optimization to obtain the coal mine environment optimization evaluation index are as follows: Acquire initial optimization related data at a time to be optimized within a preset time interval before executing coal mine environment optimization, wherein the initial optimization related data includes initial gas concentration, initial ambient temperature, initial ambient humidity and initial ambient ventilation volume; Obtaining optimization evaluation related data at the optimization time within a preset time interval after executing coal mine environment optimization, wherein the optimization evaluation related data includes optimized gas concentration, optimized ambient temperature, optimized ambient humidity, and optimized ambient ventilation volume; Processing the initial optimization-related data and the optimization evaluation-related data to obtain the optimization evaluation-related change rate, wherein the optimization evaluation-related change rate includes the environment optimization gas concentration change rate, the environment optimization temperature change rate, the environment optimization humidity change rate, and the environment optimization ventilation volume change rate; The optimization evaluation related change rate is ratioed with the related change rate reference value obtained from the preset database, and then processed with the optimization evaluation weight obtained from the preset database to obtain the coal mine environment optimization evaluation index. The related change rate reference value includes the gas change rate reference value, the ambient temperature reference change rate, the ambient humidity reference change rate, and the ambient ventilation volume reference change rate. The optimization evaluation weight includes the ambient temperature optimization weight, the ambient humidity optimization weight, and the ambient ventilation volume optimization weight.

6. The method for testing the permeability of a gas-containing coal sample according to claim 1, characterized in that: The specific steps of judging whether to perform gas extraction optimization based on the coal mine environment optimization evaluation index and the preset environment optimization effect threshold range are as follows: Compare the coal mine environment optimization evaluation index with the preset environment optimization effect threshold range: If the coal mine environment optimization evaluation index is within the preset environment optimization effect threshold range, gas extraction optimization will not be performed, and the coal mine environment optimization evaluation index will be backed up in real time and transmitted to the preset coal mine gas fluctuation analysis database; If the coal mine environment optimization evaluation index exceeds the preset environment optimization effect threshold range, gas extraction optimization is performed, and the gas extraction optimization evaluation index after the gas extraction optimization is performed is obtained.

7. The method for testing the permeability of a gas-containing coal sample according to claim 6, characterized in that: The specific steps of obtaining the gas extraction optimization evaluation index after performing gas extraction optimization are as follows: Obtaining the initial gas concentration at the extraction time within the preset extraction time interval before performing gas extraction optimization; Acquire extraction-related values ​​at extraction times within a preset extraction time interval after performing gas extraction optimization, wherein the extraction-related values ​​include extraction optimization flow, extraction optimization pressure, and extraction optimization gas concentration; The initial gas concentration and extraction-related values ​​are combined with the extraction optimization-related reference data obtained from a preset database and then processed and calculated to obtain a gas extraction optimization evaluation index. The extraction optimization-related reference data includes an extraction flow influencing factor, an extraction pressure influencing factor, an extraction flow reference value, and an extraction pressure reference value.

8. The method for testing the permeability of a gas-containing coal sample according to claim 1, characterized in that: The specific steps of comprehensively judging whether to perform the permeability test of the preset coal sample according to the gas fluctuation assessment index and the coal mine environment optimization assessment index are as follows: A1, determine whether the obtained gas fluctuation assessment index is within the preset fluctuation threshold range, if so, perform the permeability test of the preset coal sample, otherwise execute A2; A2, execute coal mine environment optimization and determine whether the obtained coal mine environment optimization evaluation index is within the preset environment optimization effect threshold range. If the coal mine environment optimization evaluation index is within the preset environment optimization effect threshold range, execute the permeability test of the preset coal sample, otherwise execute A3; A3, determine whether the obtained gas extraction optimization evaluation index is within the preset extraction optimization effect threshold range. If the gas extraction optimization evaluation index is within the preset extraction optimization effect threshold range, perform the permeability test of the preset coal sample. Otherwise, do not perform the permeability test of the preset coal sample, and remind the preset personnel to take gas fluctuation abnormality detection measures.

9. A gas-containing coal sample permeability testing system, characterized in that: It includes relevant data collection module, fluctuation situation judgment module, optimization effect evaluation module and sampling evaluation and judgment module; Wherein, the relevant data acquisition module is used to obtain coal mine environment data in a preset coal mine environment and coal sample related data of a preset coal sample within a preset time interval; The fluctuation situation judgment module is used to evaluate the gas fluctuation situation in the preset coal mine environment according to the coal mine environment data and the coal sample related data to obtain a gas fluctuation evaluation index, and judge whether to perform coal mine environment optimization based on the gas fluctuation evaluation index and the preset fluctuation threshold range. The gas fluctuation evaluation index is used to comprehensively quantify the gas fluctuation situation in the preset coal mine environment; The optimization effect evaluation module is used to evaluate the effect of coal mine environment optimization after executing coal mine environment optimization to obtain a coal mine environment optimization evaluation index, and determine whether to execute gas extraction optimization based on the coal mine environment optimization evaluation index and a preset environment optimization effect threshold range. The coal mine environment optimization evaluation index is used to quantitatively evaluate the effect of coal mine environment optimization; The extraction evaluation and judgment module is used to obtain the gas extraction optimization evaluation index after executing the gas extraction optimization, and to make a comprehensive judgment on whether to perform the permeability test of the preset coal sample based on the gas fluctuation evaluation index and the coal mine environment optimization evaluation index. The gas extraction optimization evaluation index is used to quantitatively evaluate the effect of the gas extraction optimization.

10. An electronic device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein: When the computer program instructions are executed by the processor, the electronic device is triggered to execute a permeability testing method for a gas-containing coal sample as described in any one of claims 1-8.

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