Comprehensive monitoring method and system for coal mine gas treatment

Abstract

The invention relates to the technical field of gas control monitoring, and discloses a comprehensive monitoring method and system for coal mine gas control, and the system comprises a monitoring data collection unit, a monitoring data processing unit, a data evaluation and analysis unit, and a result output and display unit. Various gas related parameters are covered, and sufficient data are provided for analysis; obtaining a mean value, a standard deviation, a change rate and the like through attribute analysis, and carrying out association analysis to determine the internal relation of each parameter; the attribute evaluation generates early warning signals for each parameter, and the correlation evaluation judges whether the relationship among the parameters is normal or not, so that corresponding treatment measures can be taken in time; analysis and evaluation results are presented through a visual interface, monitoring personnel are helped to quickly grasp conditions, and the decision-making efficiency is improved; gas accidents are integrally and effectively prevented, safe production of a coal mine is guaranteed, and scientific management and decision are assisted.

Description

Technical Field

[0001] The present invention relates to the technical field of gas control monitoring, and in particular to a comprehensive monitoring method and system for coal mine gas control. Background Art

[0002] Traditional coal mine gas monitoring methods often have many limitations. On the one hand, the singleness of monitoring data is more prominent, and most of them only focus on the monitoring of gas concentration, while lacking comprehensive and systematic collection and comprehensive analysis of important gas-related parameters such as gas pressure, gas flow, temperature and CO concentration. For example, changes in gas pressure have a key impact on the occurrence and migration of gas in coal seams. Abnormal gas flow may indicate a failure in the gas emission system or a change in the permeability of the coal seam. An increase in temperature may indicate the occurrence of spontaneous combustion or other oxidation reactions in the coal seam. These factors are complexly interrelated with gas concentrations, and it is difficult to fully grasp the true state and potential risks of gas through single parameter monitoring.

[0003] On the other hand, traditional monitoring lacks effective data processing and in-depth analysis methods. It only obtains monitoring data without conducting in-depth attribute analysis on the data, which makes it impossible to timely and accurately discover subtle changes and abnormal trends in gas data, making it difficult to warn of the occurrence of gas disasters in advance.

[0004] In addition, in the data evaluation link, due to the lack of a scientific and complete attribute evaluation and correlation evaluation system, it is impossible to accurately judge whether the gas is in a dangerous state based on the comprehensive situation of each parameter, and whether the interaction between the parameters conforms to normal laws. As a result, the formulation of gas control measures lacks pertinence and effectiveness, and it is impossible to effectively prevent the occurrence of gas accidents fundamentally.

[0005] In summary, in order to improve the level of coal mine gas control and ensure safe production in mines, there is an urgent need for a comprehensive monitoring method for coal mine gas control that can comprehensively collect gas-related data and conduct in-depth analysis and comprehensive evaluation. Summary of the invention

[0006] The purpose of the present invention is to provide a comprehensive monitoring method and system for coal mine gas control, which solves the technical problems raised in the background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A comprehensive monitoring method for coal mine gas control comprises the following steps:

[0009] Step 1: Data collection:

[0010] Collect gas data at multiple preset designated collection points in the target monitoring area. The gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration.

[0011] Step 2: Data processing:

[0012] Perform attribute analysis on gas data, and obtain the mean, standard deviation, change rate and correlation coefficient of each attribute of gas data based on the attribute analysis;

[0013] Step 3: Data evaluation:

[0014] Monitor and evaluate the gas data, and the monitoring and evaluation includes attribute evaluation and correlation evaluation. Then, based on the attribute evaluation results, obtain the warning signals corresponding to the various attributes of the gas data, and based on the correlation evaluation results, obtain the analysis conclusions of the correlation relationship between the various attributes of the gas data;

[0015] Step 4: Results display:

[0016] The corresponding results of attribute analysis and processing and monitoring and evaluation are displayed in the ground monitoring center through a visual interface.

[0017] As a further solution of the present invention: wherein, the target monitoring area is determined according to the underground tunnel layout of the coal mine, the scope of the goaf area and the coal seam mining conditions; the collected gas data is transmitted to the ground monitoring center in real time via wired or wireless transmission; various sensors collect gas-related data in real time according to pre-set time intervals.

[0018] As a further solution of the present invention: the attribute analysis processing method is as follows:

[0019] Step K1. During the observation period, the collected gas data including gas concentration, gas pressure, gas flow, temperature, and CO concentration are marked as Ni, Pi, Li, Ti, and Ci in sequence, where i = 1, 2, ... n, and n represents the number of times the gas data is collected within a specified period;

[0020] Then, N i, P i, L i, T i, and C i are taken as attribute vectors and combined into an attribute vector set X i = [N i, Pi, L i, T i, C i];

[0021] StepK2, vector mean calculation

[0022] pass:

[0023]

[0024] Calculate the mean XP of the corresponding attribute vector in the attribute vector set, and XP = [NP, PP, LP, TP, CP];

[0025] Among them, NP is the mean of all N i, PP is the mean of all P i, LP is the mean of all L i, TP is the mean of all Ti, and CP is the mean of all Ci;

[0026] StepK3. Calculation of vector standard deviation

[0027] pass:

[0028]

[0029] Calculate the standard deviation XF of the corresponding attribute vector in the attribute vector set, and XF = [NF, PF, LF, TF, CF];

[0030] Where NP is the standard deviation of all N i, PP is the standard deviation of all P i, LP is the standard deviation of all L i, TP is the standard deviation of all T i, and CP is the standard deviation of all C i;

[0031] Step K3, vector change rate calculation

[0032] pass:

[0033]

[0034] Calculate the change rate XB of the corresponding attribute vector in the attribute vector set, and XB=[NB, PB, LB, TB, CB];

[0035] Among them, NB is the change rate of all N i, PB is the change rate of all P i, LB is the change rate of all L i, TB is the change rate of all T i, and CB is the change rate of all C i;

[0036] Step K4, association analysis:

[0037] In the attribute vector set, two different attribute vectors are combined to obtain multiple feature combinations [Xa i, Xb i], and then the correlation coefficient between the attribute vectors in each feature combination is calculated;

[0038] Among them, Xa i∈[N i, P i, L i, T i, C i],

[0039] As a further solution of the present invention: the correlation coefficient is calculated as follows:

[0040] StepK4.1, select a feature combination [Xa i,Xb i];

[0041] Then through:

[0042]

[0043] Calculate the covariance Xab of the feature combination [Xa i,Xb i];

[0044] Where XPa and XPb are the means corresponding to Xa i and Xb i in the feature combination respectively;

[0045] Step K4.2, then pass:

[0046]

[0047] Calculate the correlation coefficient Rab of the feature combination [Xa i, Xb i];

[0048] Where, Xa i and Xb i are the standard deviations of the feature combinations XFa and XFb, respectively.

[0049] As a further solution of the present invention: wherein the plurality of feature combinations [Xa i, Xb i] are: [N i, Pi], [N i, Li], [N i, Ti], [N i, Ci], [P i, Li], [P i, Ti], [P i, Ci], [L i, Ti], [L i, Ci], [T i, Ci];

[0050] The correlation coefficients Rab of multiple feature combinations [Xa i, Xb i] are:

[0051] Correlation coefficient R between gas concentration and gas pressure NP ;

[0052] Correlation coefficient R between gas concentration and gas flow rate NL ;

[0053] Correlation coefficient R between gas concentration and temperature NT ;

[0054] Correlation coefficient R between gas concentration and CO concentration NC ;

[0055] Correlation coefficient R between gas pressure and gas flow PL ;

[0056] Correlation coefficient R between gas pressure and temperature PT ;

[0057] Correlation coefficient R between gas pressure and CO concentration PC ;

[0058] Correlation coefficient R between gas flow and temperature LT ;

[0059] Correlation coefficient R between gas flow rate and CO concentration LC ;

[0060] Correlation coefficient R between temperature and CO concentration TC .

[0061] As a further solution of the present invention: the attribute evaluation method is as follows:

[0062] StepH1.1, Gas concentration assessment

[0063] If the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the gas concentration change rate NB is greater than the preset gas concentration change threshold NBy, a gas concentration warning signal 1 is generated;

[0064] If the standard deviation NF of the gas concentration is greater than the preset gas concentration difference threshold NPy, a gas concentration warning signal 2 is generated;

[0065] Step H1.2, Gas pressure assessment

[0066] If the gas pressure mean PP is greater than the preset gas pressure threshold PPy, a gas pressure warning signal 1 is generated;

[0067] If at least one of the comparison formulas of the standard deviation PF of the gas pressure is greater than the preset gas pressure difference threshold PFy and the change rate PB of the gas pressure is greater than the preset gas pressure change threshold PBy is established, then the second gas pressure warning signal is generated;

[0068] StepH1.3, Gas flow assessment

[0069] If the gas flow mean LP is less than the preset gas pressure threshold LPy, a gas flow warning signal is generated;

[0070] StepH1.4, Temperature evaluation

[0071] If the temperature average TP is greater than the preset temperature threshold TPy, and the temperature change rate TB is greater than the preset temperature change threshold TBy, a temperature warning signal is generated;

[0072] Step H1.5, CO concentration assessment

[0073] The CO concentration mean CP and change rate CB are important indicators for judging whether there is spontaneous combustion or other oxidation reactions in the coal seam;

[0074] If the CO concentration CP is greater than the preset CO concentration threshold CPy, and the CO concentration change rate CB is greater than the preset CO concentration change threshold CBy, a CO concentration warning signal is generated.

[0075] As a further solution of the present invention: the association evaluation method is as follows:

[0076] StepH2.1. Correlation between gas concentration and gas pressure

[0077] If R NP When it is greater than the preset correlation threshold based on gas concentration and gas pressure, it indicates that the increase in gas pressure is accompanied by an increase in gas concentration;

[0078] If R NP When it is less than or equal to the preset correlation threshold based on gas concentration and gas pressure, there are other factors interfering with the relationship between gas concentration and pressure;

[0079] StepH2.2, gas concentration and gas flow correlation

[0080] If R NL When it is less than the preset correlation threshold based on gas concentration and gas flow, it means that an increase in gas flow will reduce gas concentration;

[0081] If R NL When it is greater than or equal to the preset correlation threshold based on gas concentration and gas flow, it indicates that the relationship between gas concentration and gas flow deviates from the normal emission law;

[0082] StepH2.3, Gas concentration and temperature correlation

[0083] If R NL When the absolute value of is greater than or equal to the preset correlation threshold based on gas concentration and temperature, it means that the correlation between gas concentration and temperature is strong;

[0084] If R NL When the absolute value of is less than the preset correlation threshold based on gas concentration and temperature, it means that the correlation between gas concentration and temperature is weak;

[0085] StepH2.4, Correlation between gas concentration and CO concentration

[0086] If R NC If it is a positive number, and the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the CO concentration CP is greater than the preset CO concentration threshold CPy, it indicates that there is a potential risk of gas combustion or oxidation;

[0087] If R NC When the absolute value of is less than the preset correlation threshold based on the gas concentration and CO concentration, it means that there is no obvious correlation between them;

[0088] StepH2.5, Gas pressure and gas flow correlation

[0089] If R PLWhen it is a positive number and its value is greater than or equal to the preset correlation threshold between gas pressure and gas flow, it indicates that gas pressure is an important driving force for gas flow, and changes in gas pressure will directly affect gas flow;

[0090] If R PL When it is less than the preset correlation threshold based on gas pressure and gas flow, it means that the resistance of the gas discharge channel has changed;

[0091] StepH2.6, Gas pressure and temperature correlation

[0092] If R PT is a positive number, and its value is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and temperature, and the mean temperature TP is greater than the preset temperature threshold TPy, which indicates that the temperature increase causes the gas in the coal seam to expand, thereby increasing the gas pressure;

[0093] If R PT If it is less than the preset correlation threshold value based on the correlation between gas pressure and temperature, it indicates that the correlation between gas pressure and temperature is weak;

[0094] StepH2.7, Correlation between gas pressure and CO concentration

[0095] If R PC If the absolute value of is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and CO concentration, it means that the change of gas pressure will affect the oxidation or combustion process of gas, and thus affect the CO concentration;

[0096] If R PC If the absolute value of is less than the preset correlation threshold based on the correlation between gas pressure and CO concentration, it is necessary to further explore whether there are other factors interfering with this correlation;

[0097] StepH2.8, Gas flow and temperature correlation

[0098] If R PL When it is a positive number and its value is greater than or equal to the preset threshold value associated with gas flow and temperature, it means that the increase in temperature is conducive to the desorption and flow of gas;

[0099] If R PL When it is less than the preset correlation threshold based on gas flow and temperature, it means that other factors play a dominant role in gas flow;

[0100] StepH2.9, Correlation between gas flow and CO concentration

[0101] If R LC When it is a negative number and its absolute value is greater than or equal to the preset correlation threshold based on gas flow and CO concentration, an abnormal change occurs on the surface;

[0102] Step H2.10, Correlation between temperature and CO concentration

[0103] If R TC If it is a positive number and its value is greater than or equal to the preset correlation threshold based on the correlation between temperature and CO concentration, it indicates that the correlation between temperature increase and CO concentration increase is strong;

[0104] If R TC If it is less than the preset correlation threshold based on the correlation between temperature and CO concentration, it means that there is a monitoring error, the local oxidation reaction is not fully reacted, or other interference factors exist.

[0105] A comprehensive monitoring system for coal mine gas control, the system is used to implement the comprehensive monitoring method for coal mine gas control, the system comprises:

[0106] The monitoring data collection unit is used to collect gas data corresponding to a plurality of preset designated collection points in the target monitoring area, and the gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration;

[0107] The monitoring data processing unit is used to perform attribute analysis on the gas data, and obtain the mean, standard deviation, change rate and correlation coefficient of each attribute of the gas data based on the attribute analysis;

[0108] The data evaluation and analysis unit is used to monitor and evaluate the gas data, and the monitoring and evaluation includes attribute evaluation and correlation evaluation. Then, based on the attribute evaluation results, the early warning signals corresponding to the various attributes of the gas data are obtained, and based on the correlation evaluation results, the analysis conclusions of the correlation relationship between the various attributes of the gas data are obtained;

[0109] The result output display unit is used to display the corresponding results of attribute analysis and processing and monitoring and evaluation in the ground monitoring center through a visual interface.

[0110] Beneficial effects of the present invention:

[0111] The present invention determines a plurality of designated collection points in the target monitoring area according to the layout of underground coal mine tunnels, the scope of goaf areas and the mining conditions of coal seams, and collects multi-dimensional gas data such as gas concentration, gas pressure, gas flow, temperature and CO concentration, which can comprehensively cover the key parameters related to gas and provide a rich and reliable data basis for the subsequent accurate analysis of gas status. At the same time, various sensors collect data in real time at preset time intervals, and can transmit the data to the ground monitoring center in real time via wired or wireless transmission, thus ensuring the timeliness and continuity of the data and making it easy to grasp the underground gas situation at any time.

[0112] The present invention adopts attribute analysis and processing to calculate the mean, standard deviation, change rate and correlation coefficient of each attribute of the collected gas data. Through these statistics, the characteristics of gas data can be characterized from different angles. For example, the mean can reflect the average level of the data, the standard deviation reflects the degree of dispersion of the data, the change rate can show the change trend of the data, and the correlation coefficient can reveal the internal relationship between the attributes, which helps to have a deeper understanding of the dynamic changes of gas in the well and the relationship between the parameters.

[0113] In the correlation analysis, the present invention calculates in detail the correlation coefficients between gas concentration and different attributes such as gas pressure, gas flow, temperature, CO concentration, etc., and sets corresponding correlation evaluation rules for each pair of correlated attributes, so as to accurately judge the mutual influence between the parameters. For example, it can judge whether the increase in gas pressure is accompanied by the increase in gas concentration, the effect of the change in gas flow on the gas concentration, etc., so as to accurately grasp the correlation interaction mechanism of gas-related parameters under different working conditions, and provide strong support for the subsequent accurate evaluation of the gas status.

[0114] The present invention formulates evaluation rules for each attribute such as gas concentration, gas pressure, gas flow, temperature, CO concentration, etc., and generates corresponding warning signals according to different threshold comparison situations. For example, in terms of gas concentration, the relationship between its mean, change rate, standard deviation and preset threshold is comprehensively considered to determine whether there is a dangerous situation and issue a warning in time. This meticulous and targeted evaluation method can timely discover abnormal situations in each parameter itself and take measures in advance to deal with possible gas safety hazards.

[0115] In the present invention, the correlation evaluation considers whether the correlation relationship between various attributes conforms to normal rules from an overall perspective. For example, by judging the correlation threshold between gas concentration and gas pressure, gas flow, etc., it analyzes whether there are other interference factors affecting this correlation, and then can more comprehensively evaluate the overall state of underground gas, avoid ignoring the potential risks brought about by the interaction of various parameters due to only focusing on a single parameter, and improve the accuracy and reliability of gas safety monitoring.

[0116] The present invention displays the corresponding results of attribute analysis and processing and monitoring and evaluation in the ground monitoring center through a visual interface, so that ground monitoring personnel can intuitively and clearly see the detailed analysis and evaluation results of underground gas-related data, which is convenient for quickly and accurately grasping the gas situation and making scientific and reasonable decisions in time, which is of great significance to improving the efficiency of coal mine gas control and ensuring safe production. BRIEF DESCRIPTION OF THE DRAWINGS

[0117] The present invention will be further described below in conjunction with the accompanying drawings.

[0118] Figure 1The present invention is a schematic flow chart of a comprehensive monitoring method for coal mine gas control.

[0119] Figure 2 The system block diagram of a comprehensive monitoring system for coal mine gas control of the present invention. DETAILED DESCRIPTION

[0120] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments 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.

[0121] Embodiment 1

[0122] See also Figure 1 and Figure 2 As shown, the present invention is a comprehensive monitoring method and system for coal mine gas control, comprising:

[0123] Step 1: Data collection:

[0124] Collect gas data at multiple preset designated collection points in the target monitoring area. The gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration.

[0125] Among them, the target monitoring area is determined according to the layout of underground mine tunnels, the scope of goaf areas and the mining conditions of coal seams;

[0126] In this embodiment, for example, in a working face corresponding to a certain coal mine, the gob-side lane, transport lane, return air lane and the surrounding area of ​​the goaf are taken as target monitoring areas;

[0127] On the artificial wall of the gob-side entry near the goaf, a gas extraction borehole is arranged every 3 meters as the designated collection point for gas data;

[0128] At the same time, a gas extraction pipeline is installed on the side of the coal wall of the gob-side tunnel, and a tee is set every 15 meters on the pipeline. Each tee is provided with 5 connection holes. In addition to the hose used to connect the gas extraction borehole, the remaining interfaces are reserved for observation holes, and gas concentration sensors, pressure sensors, flow sensors, temperature sensors and CO concentration sensors are installed at the gas extraction boreholes and observation holes.

[0129] The collected gas data is transmitted to the ground monitoring center in real time via wired or wireless transmission; in this embodiment, the wired or wireless transmission method uses a dedicated underground communication cable or wireless transmission module;

[0130] Among them, various sensors collect gas-related data in real time at pre-set time intervals, such as collecting data every 1 minute;

[0131] Step 2: Data processing:

[0132] Perform attribute analysis on gas data. The attribute analysis and processing method is as follows:

[0133] Step K1. During the observation period, the collected gas data including gas concentration, gas pressure, gas flow, temperature, and CO concentration are marked as Ni, Pi, Li, Ti, and Ci in sequence, where i = 1, 2, ... n, and n represents the number of times the gas data is collected within a specified period;

[0134] Then, N i, P i, L i, T i, and C i are taken as attribute vectors and combined into an attribute vector set X i = [N i, Pi, L i, T i, C i];

[0135] StepK2, vector mean calculation

[0136] pass:

[0137]

[0138] Calculate the mean XP of the corresponding attribute vector in the attribute vector set, and XP = [NP, PP, LP, TP, CP];

[0139] Among them, NP is the mean of all N i, PP is the mean of all P i, LP is the mean of all L i, TP is the mean of all Ti, and CP is the mean of all Ci;

[0140] StepK3. Calculation of vector standard deviation

[0141] pass:

[0142]

[0143] Calculate the standard deviation XF of the corresponding attribute vector in the attribute vector set, and XF = [NF, PF, LF, TF, CF];

[0144] Where NP is the standard deviation of all N i, PP is the standard deviation of all P i, LP is the standard deviation of all L i, TP is the standard deviation of all T i, and CP is the standard deviation of all C i;

[0145] Step K3, vector change rate calculation

[0146] pass:

[0147]

[0148] Calculate the change rate XB of the corresponding attribute vector in the attribute vector set, and XB=[NB, PB, LB, TB, CB];

[0149] Among them, NB is the change rate of all N i, PB is the change rate of all P i, LB is the change rate of all L i, TB is the change rate of all T i, and CB is the change rate of all C i;

[0150] Step 3: Data evaluation:

[0151] The properties of gas data are evaluated as follows:

[0152] StepH1.1, Gas concentration assessment

[0153] If the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the gas concentration change rate NB is greater than the preset gas concentration change threshold NBy, a gas concentration warning signal 1 is generated;

[0154] When the gas concentration warning signal is generated, that is, NB shows an upward trend, emergency gas control measures should be taken immediately, such as stopping production for rectification, increasing gas extraction efforts, etc., to prevent accidents such as gas explosions;

[0155] If the standard deviation NF of the gas concentration is greater than the preset gas concentration difference threshold NPy, a gas concentration warning signal 2 is generated;

[0156] When the second gas concentration warning signal is generated, the gas monitoring frequency in the local area needs to be strengthened, especially in the time period and location with large standard deviation, so as to timely discover the abnormal fluctuation points of gas concentration and take targeted local ventilation adjustment or gas control measures;

[0157] Step H1.2, Gas pressure assessment

[0158] If the gas pressure mean value PP is greater than the preset gas pressure threshold value PPy, a gas pressure warning signal 1 is generated;

[0159] When the gas pressure warning signal is generated, the gas outburst hazard of the coal seam needs to be evaluated; the relevant geological data and gas pressure historical data can be referred to to comprehensively judge whether it is necessary to take measures such as pre-extraction of gas and strengthening of support to prevent gas outburst;

[0160] If at least one of the comparison formulas of the standard deviation PF of the gas pressure is greater than the preset gas pressure difference threshold PFy and the change rate PB of the gas pressure is greater than the preset gas pressure change threshold PBy is established, then the second gas pressure warning signal is generated;

[0161] When the second gas pressure warning signal is generated, that is, PF is large or PB changes abnormally, there may be changes in coal seam stress or obstruction of gas emission channels. Geological surveys and ventilation system inspections should be carried out in time to ensure that the gas pressure is within a controllable range;

[0162] StepH1.3, Gas flow assessment

[0163] If the gas flow mean LP is less than the preset gas pressure threshold LPy, a gas flow warning signal is generated;

[0164] When the gas flow warning signal is generated, that is, LP is lower than expected, it may mean that the gas drainage system is inefficient or there are gas accumulation areas that are not effectively discharged. It is necessary to check and optimize the drainage system, or strengthen the investigation of possible gas accumulation areas;

[0165] StepH1.4, Temperature evaluation

[0166] If the temperature average TP is greater than the preset temperature threshold TPy, and the temperature change rate TB is greater than the preset temperature change threshold TBy, a temperature warning signal is generated;

[0167] When the gas concentration warning signal is generated, that is, TB is on an upward trend, and the abnormal temperature rise may be related to gas oxidation, spontaneous combustion and other phenomena, then a comprehensive judgment is made in combination with parameters such as CO concentration; if TB rises and CO concentration also has an upward trend, it is necessary to be alert to the risk of coal seam spontaneous combustion and take fire prevention measures in time, such as spraying inhibitors, injecting nitrogen, etc.;

[0168] Step H1.5, CO concentration assessment

[0169] The CO concentration mean CP and change rate CB are important indicators for determining whether there is spontaneous combustion or other oxidation reactions in the coal seam.

[0170] If the CO concentration CP is greater than the preset CO concentration threshold CPy, and the CO concentration change rate CB is greater than the preset CO concentration change threshold CBy, a CO concentration warning signal is generated;

[0171] When a CO concentration warning signal is generated, the coal seam spontaneous combustion warning mechanism should be activated immediately, fire prevention measures should be taken, and the investigation of fire sources should be strengthened. At the same time, the correlation between CO concentration and parameters such as gas concentration and flow rate can be considered. If the CO concentration and gas concentration increase at the same time, it may indicate an increased risk of gas combustion or explosion, and timely measures should be taken to reduce the gas concentration and eliminate potential fire sources.

[0172] This embodiment determines the target monitoring area based on the layout of underground coal mine tunnels, the scope of goaf areas, and the mining conditions of coal seams, and sets multiple designated collection points at specific locations such as goaf-side tunnels, transport tunnels, return air tunnels, and areas around goaf areas. A variety of sensors are installed to collect gas concentration, gas pressure, gas flow, temperature, CO concentration and other parameters, realizing multi-dimensional collection of gas-related data and providing a rich data foundation for a comprehensive understanding of the gas status. The mean, standard deviation, and rate of change of gas data are calculated through attribute analysis and processing, which can preliminarily characterize the concentration trend, degree of dispersion, and change of gas data, and provide data feature basis for subsequent evaluation. The attribute assessment sets rules for each gas parameter. It can generate corresponding early warning signals in time based on the comparison of the mean, standard deviation, and change rate of gas concentration, pressure, flow, temperature and CO concentration with the preset thresholds, so that the staff can respond quickly to the abnormal situation of a single parameter. For example, for abnormal gas concentration, measures such as suspension of production and rectification and increased extraction efforts can be taken. For abnormal gas pressure, the prominent danger can be assessed and corresponding measures can be taken. For abnormal gas flow, the extraction system can be checked, etc., to effectively prevent gas accidents and improve the targeted nature of gas management.

[0173] Embodiment 2

[0174] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from the first embodiment only in that in the present embodiment, the attribute analysis processing method further includes association analysis, and the method is as follows:

[0175] In the attribute vector set, two different attribute vectors are combined to obtain multiple feature combinations [Xa i, Xb i], and then the correlation coefficient between the attribute vectors in each feature combination is calculated;

[0176] Among them, Xa i∈[N i, P i, L i, T i, C i], Xb i∈[N i, P i, L i, T i, C i], and Xa≠Xb;

[0177] That is: multiple feature combinations [Xa i,

[0178] The correlation coefficient is calculated as follows:

[0179] StepK4.1, select a feature combination [Xa i,Xb i];

[0180] Then through:

[0181]

[0182] Calculate the covariance Xab of the feature combination [Xa i,Xb i];

[0183] Where XPa and XPb are the means corresponding to Xa i and Xb i in the feature combination respectively;

[0184] Step K4.2, then pass:

[0185]

[0186] Calculate the correlation coefficient Rab of the feature combination [Xa i, Xb i];

[0187] Where, Xa i and Xb i are the standard deviations of the feature combinations XFa and XFb;

[0188] That is, the correlation coefficients Rab of multiple feature combinations [Xa i, Xb i] are:

[0189] Correlation coefficient R between gas concentration and gas pressure NP ;

[0190] Correlation coefficient R between gas concentration and gas flow rate NL ;

[0191] Correlation coefficient R between gas concentration and temperature NT ;

[0192] Correlation coefficient R between gas concentration and CO concentration NC ;

[0193] Correlation coefficient R between gas pressure and gas flow PL ;

[0194] Correlation coefficient R between gas pressure and temperature PT ;

[0195] Correlation coefficient R between gas pressure and CO concentration PC ;

[0196] Correlation coefficient R between gas flow and temperature LT ;

[0197] Correlation coefficient R between gas flow rate and CO concentration LC ;

[0198] Correlation coefficient R between temperature and CO concentration TC ;

[0199] In the data evaluation step, the gas data is also evaluated in a related manner as follows:

[0200] StepH2.1. Correlation between gas concentration and gas pressure

[0201] If R NP When it is greater than the preset correlation threshold based on gas concentration and gas pressure, it indicates that the increase in gas pressure is accompanied by an increase in gas concentration;

[0202] This means that measures taken in gas pressure control may have a direct impact on gas concentration. For example, when gas pre-extraction measures are taken to reduce gas pressure, it can be expected that gas concentration will also decrease accordingly;

[0203] If R NP When it is less than or equal to the preset correlation threshold based on gas concentration and gas pressure, there are other factors interfering with the relationship between gas concentration and pressure;

[0204] If local changes in geological structures lead to abnormal gas occurrence, it is necessary to further analyze the impact of geological factors on gas status in order to develop a more accurate gas control plan;

[0205] StepH2.2, gas concentration and gas flow correlation

[0206] If R NL When it is less than the preset correlation threshold based on gas concentration and gas flow, it means that an increase in gas flow will reduce gas concentration;

[0207] This is in line with the normal gas emission rules. In actual production, if the gas concentration is found to be too high, the concentration can be reduced by adjusting the gas extraction flow rate, etc.

[0208] If R NL When it is greater than or equal to the preset correlation threshold based on gas concentration and gas flow, it indicates that the relationship between gas concentration and gas flow deviates from the normal emission law;

[0209] There may be a malfunction in the gas drainage system, such as a pipe blockage, a decrease in the efficiency of the drainage pump, or a new gas source that has not been effectively controlled. It is necessary to promptly inspect and maintain the drainage system and re-investigate the gas source;

[0210] StepH2.3, Gas concentration and temperature correlation

[0211] If R NL When the absolute value of is greater than or equal to the preset correlation threshold based on gas concentration and temperature, it means that the correlation between gas concentration and temperature is strong;

[0212] If there is a positive correlation, it may mean that the increase in temperature will promote gas desorption, thus leading to an increase in gas concentration. In high-temperature areas, such as those near goafs or areas with complex geological structures, special attention should be paid to changes in gas concentration and ventilation and heat dissipation measures should be strengthened to prevent gas accumulation.

[0213] If R NL When the absolute value of is less than the preset correlation threshold based on gas concentration and temperature, it means that the correlation between gas concentration and temperature is weak;

[0214] This may be due to the complex relationship between the temperature measurement point and the gas outflow source, or the presence of other interfering factors, such as the effect of moisture on gas desorption. In this case, it is necessary to comprehensively consider multiple factors to evaluate the relationship between gas concentration and temperature and improve gas monitoring and control strategies;

[0215] StepH2.4, Correlation between gas concentration and CO concentration

[0216] If R NC If it is a positive number, and the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the CO concentration CP is greater than the preset CO concentration threshold CPy, it indicates that there is a potential risk of gas combustion or oxidation;

[0217] Because gas combustion or slow oxidation will produce CO, at this time, you need to immediately check whether there is a fire source or high temperature point, and increase ventilation to reduce gas and CO concentrations;

[0218] If R NC When the absolute value of is less than the preset correlation threshold based on the gas concentration and CO concentration, it means that there is no obvious correlation between them;

[0219] At the same time, risks cannot be completely ruled out, because there may be local gas combustion or oxidation that has not been fully monitored. The monitoring network needs to be further optimized to ensure that abnormal changes in gas and CO concentrations and their correlation can be discovered in a timely manner.

[0220] StepH2.5, Gas pressure and gas flow correlation

[0221] If R PL When it is a positive number and its value is greater than or equal to the preset correlation threshold between gas pressure and gas flow, it indicates that gas pressure is an important driving force for gas flow, and changes in gas pressure will directly affect gas flow;

[0222] In the design and operation of the gas drainage system, the change of gas flow can be predicted according to the change of gas pressure, and the drainage parameters can be reasonably adjusted;

[0223] If R PLWhen it is less than the preset correlation threshold based on gas pressure and gas flow, it means that the resistance of the gas discharge channel has changed;

[0224] If coal seam fissures are blocked or new fissures are formed, a detailed survey of the coal seam geological structure is required to ensure the normal operation of the gas drainage system;

[0225] StepH2.6, Gas pressure and temperature correlation

[0226] If R PT is a positive number, and its value is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and temperature, and the mean temperature TP is greater than the preset temperature threshold TPy, which indicates that the temperature increase causes the gas in the coal seam to expand, thereby increasing the gas pressure;

[0227] In this case, high-temperature areas may face higher gas pressure risks and need to strengthen gas pressure monitoring and control measures, such as increasing gas pre-extraction or taking cooling measures;

[0228] If R PT If it is less than the preset correlation threshold value based on the correlation between gas pressure and temperature, it indicates that the correlation between gas pressure and temperature is weak;

[0229] It is possible that other factors have a more significant impact on gas pressure, such as coal seam permeability and geological structure, and further analysis of the combined impact of these factors on gas pressure is needed in order to develop effective gas disaster prevention measures;

[0230] StepH2.7, Correlation between gas pressure and CO concentration

[0231] If R PC If the absolute value of is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and CO concentration, it means that the change of gas pressure will affect the oxidation or combustion process of gas, and thus affect the CO concentration;

[0232] For example, increased gas pressure may cause gas to leak more easily into an oxygen-rich environment, increasing the possibility of oxidation or combustion, thereby increasing CO concentration. In areas where gas pressure is high and CO concentration tends to rise, fire prevention and gas leak detection measures need to be strengthened to prevent gas accidents.

[0233] If R PC If the absolute value of is less than the preset correlation threshold based on the correlation between gas pressure and CO concentration, it is necessary to further explore whether there are other factors interfering with this correlation;

[0234] Such as the difference in gas composition in different coal seams and the impact of ventilation conditions on CO diffusion;

[0235] StepH2.8, Gas flow and temperature correlation

[0236] If R PL When it is a positive number and its value is greater than or equal to the preset threshold value associated with gas flow and temperature, it means that the increase in temperature is conducive to the desorption and flow of gas;

[0237] Temperature changes can be used to optimize gas extraction strategies to a certain extent, such as appropriately increasing gas extraction volume during periods or areas with higher temperatures;

[0238] If R PL When it is less than the preset correlation threshold based on gas flow and temperature, it means that other factors play a dominant role in gas flow;

[0239] For example, the permeability of coal seams and the distribution of gas sources need to be studied in depth to improve gas extraction efficiency;

[0240] StepH2.9, Correlation between gas flow and CO concentration

[0241] If R LC When it is a negative number and its absolute value is greater than or equal to the preset correlation threshold based on gas flow and CO concentration, an abnormal change occurs on the surface;

[0242] If the gas flow rate increases but the CO concentration increases instead of decreasing, there may be a local fault in the gas extraction system, which causes the gas to oxidize or burn during the extraction process, producing more CO. In this case, the extraction system needs to be fully inspected and maintained to ensure safe gas discharge, while paying attention to changes in CO concentration to prevent fire or explosion accidents.

[0243] Step H2.10, Correlation between temperature and CO concentration

[0244] If R TC If it is a positive number and its value is greater than or equal to the preset correlation threshold based on the correlation between temperature and CO concentration, it indicates that the correlation between temperature increase and CO concentration increase is strong;

[0245] It is very likely that the coal seam will spontaneously combust or oxidize; in this case, fire prevention measures should be taken immediately, such as injecting inert gas, spraying fire-proof materials, etc., and closely monitoring changes in temperature and CO concentration;

[0246] If R TC If it is less than the preset correlation threshold based on the correlation between temperature and CO concentration, it means that there is a monitoring error, the local oxidation reaction is not fully reacted, or other interference factors exist;

[0247] It is necessary to further verify the accuracy of monitoring data and expand the monitoring scope to accurately determine the risk of spontaneous combustion of coal seams;

[0248] This embodiment adds correlation analysis to the attribute analysis process, calculates the correlation coefficients between gas parameters, such as the correlation coefficients between gas concentration and gas pressure, gas flow, temperature, CO concentration, etc., and the correlation coefficients between gas pressure and gas flow, temperature, CO concentration, etc., and deeply reveals the internal connection between various gas parameters. Through correlation evaluation, according to the comparison results of the correlation coefficient and the preset correlation threshold, it is judged whether the correlation relationship between the parameters is normal. For example, when the correlation between gas concentration and gas pressure is abnormal, the influence of geological factors on the gas state can be further analyzed to formulate a precise control plan; when the correlation between gas concentration and gas flow is abnormal, the failure of the extraction system or new gas sources can be discovered in time; when the correlation between gas concentration and temperature is strong, the gas concentration monitoring and ventilation and heat dissipation measures in high temperature areas can be strengthened. This helps the staff to grasp the causes and trends of gas state changes as a whole, to be more scientific and comprehensive in the formulation of gas control measures, and to improve the accuracy and effectiveness of gas disaster prevention.

[0249] Embodiment 3

[0250] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is that this embodiment further includes the steps:

[0251] Results:

[0252] The corresponding results of attribute analysis and processing and monitoring and evaluation are displayed in the ground monitoring center through a visual interface;

[0253] The monitoring and evaluation results include the generation of various warning signals, such as gas concentration warning signal 1, gas concentration warning signal 2, gas pressure warning signal 1, gas pressure warning signal 2, gas flow warning signal, temperature warning signal, CO concentration warning signal, and the results of correlation evaluation, such as the analysis conclusions of the correlation between gas concentration and gas pressure, gas concentration and gas flow, etc.

[0254] The results of attribute analysis processing include the mean, standard deviation, and change rate of each attribute of gas data in the form of a chart; for example, a curve of the change of the mean gas concentration over time and a bar chart of the standard deviation of gas pressure are drawn, so that monitoring personnel can intuitively understand the overall characteristics and change trends of gas data. At the same time, in the presentation of the correlation assessment results, the comparison of the correlation coefficient of each correlation relationship with the preset correlation threshold is listed in a table, and its significance is briefly explained, so that monitoring personnel can quickly grasp the internal connection between gas data and possible risk factors, thereby providing a strong basis for formulating accurate gas control measures.

[0255] This embodiment displays the attribute analysis and monitoring evaluation results in the ground monitoring center through a visual interface, showing the mean, standard deviation, and change rate of each attribute of the gas data in the form of a chart, and listing the associated evaluation results in the form of a table. This enables monitoring personnel to intuitively and quickly understand the overall characteristics of the gas data, the trend of change, the inherent connection between the parameters, and the possible risk factors, without the need for a complicated data interpretation process, greatly improving the efficiency of information acquisition, providing a strong decision-making basis for the formulation of accurate and timely gas control measures, and helping to improve the overall efficiency and level of coal mine gas control.

[0256] Embodiment 4

[0257] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second, third and fourth embodiments.

[0258] This embodiment integrates all the functions and advantages of the previous embodiments 1, 2, and 3 to form a complete, comprehensive, and efficient coal mine gas control comprehensive monitoring solution. It has multi-dimensional data collection capabilities, in-depth data processing, comprehensive attribute and correlation evaluation, and intuitive display of results, realizing full process optimization from data collection to analysis and evaluation to result presentation, and maximizing the accuracy, timeliness, and effectiveness of coal mine gas control, effectively ensuring coal mine safety production, reducing the risk of gas accidents, and providing rich and reliable data support and basis for scientific management and decision-making of coal mines.

[0259] The present invention also provides a comprehensive monitoring system for coal mine gas control, which is used to implement a comprehensive monitoring method for coal mine gas control. The system includes:

[0260] The monitoring data collection unit is used to collect gas data corresponding to a plurality of preset designated collection points in the target monitoring area, and the gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration;

[0261] The monitoring data processing unit is used to perform attribute analysis on the gas data, and obtain the mean, standard deviation, change rate and correlation coefficient of each attribute of the gas data based on the attribute analysis;

[0262] The data evaluation and analysis unit is used to monitor and evaluate the gas data, and the monitoring and evaluation includes attribute evaluation and correlation evaluation. Then, based on the attribute evaluation results, the early warning signals corresponding to the various attributes of the gas data are obtained, and based on the correlation evaluation results, the analysis conclusions of the correlation relationship between the various attributes of the gas data are obtained;

[0263] The result output display unit is used to display the corresponding results of attribute analysis and processing and monitoring and evaluation in the ground monitoring center through a visual interface.

[0264] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0265] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive monitoring method for coal mine gas control, characterized in that: The following steps are involved: Step 1: Data collection: Collect gas data at multiple preset designated collection points in the target monitoring area. The gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration. Step 2: Data processing: Perform attribute analysis on the gas data, and obtain the mean, standard deviation, change rate and correlation coefficient of each attribute of the gas data based on the attribute analysis; Step 3: Data evaluation: Monitor and evaluate the gas data, and the monitoring and evaluation includes attribute evaluation and correlation evaluation. Then, based on the attribute evaluation results, obtain the warning signals corresponding to the various attributes of the gas data, and based on the correlation evaluation results, obtain the analysis conclusions of the correlation relationship between the various attributes of the gas data; Step 4: Results display: The corresponding results of attribute analysis and processing and monitoring and evaluation are displayed in the ground monitoring center through a visual interface.

2. A comprehensive monitoring method for coal mine gas control according to claim 1, characterized in that: The attribute analysis is processed as follows: Step K1. During the observation period, the collected gas data including gas concentration, gas pressure, gas flow, temperature, and CO concentration are marked as Ni, Pi, Li, Ti, and Ci in sequence, where i = 1, 2, ... n, and n represents the number of times the gas data is collected within a specified period; Then, Ni, Pi, Li, Ti, Ci are taken as attribute vectors and combined into an attribute vector set Xi = [Ni, Pi, Li, Ti, Ci]; StepK2, vector mean calculation Calculate the mean of the attribute vector in the attribute vector set and mark it as XP; StepK3. Calculation of vector standard deviation Calculate the standard deviation of the attribute vector in the attribute vector set and mark it as XF; Step K3, vector change rate calculation pass: Calculate the change rate XB of the corresponding attribute vector in the attribute vector set; Step K4, association analysis: In the attribute vector set, two different attribute vectors are combined to obtain multiple feature combinations, and then the correlation coefficients between the attribute vectors in each feature combination are calculated.

3. A comprehensive monitoring method for coal mine gas control according to claim 2, characterized in that: In Step K4, the feature combination is represented by [Xa i, Xbi], and Xa i∈[Ni, Pi, Li, Ti, Ci], Xbi∈[Ni, Pi, Li, Ti, Ci], and Xa≠Xb.

4. A comprehensive monitoring method for coal mine gas control according to claim 3, characterized in that: The correlation coefficient is calculated as follows: StepK4.1, select a feature combination [Xai,Xb i]; Then through: Calculate the covariance Xab of the feature combination [Xai,Xbi]; Where XPa and XPb are the means corresponding to Xa i and Xb i in the feature combination respectively; Step K4.2, then pass: Calculate the correlation coefficient Rab of the feature combination [Xai, Xbi]; Where, Xai and Xbi are the standard deviations of the feature combinations XFa and XFb.

5. A comprehensive monitoring method for coal mine gas control according to claim 4, characterized in that: in, The multiple feature combinations [Xai,Xbi] are: [Ni, Pi], [Ni, Li], [Ni, Ti], [Ni, Ci], [Pi, Li], [Pi, Ti], [Pi, Ci], [Li, Ti], [Li, Ci], [Ti, Ci]; The correlation coefficients Rab of multiple feature combinations [Xai, Xbi] are: Correlation coefficient R between gas concentration and gas pressure NP ; Correlation coefficient R between gas concentration and gas flow rate NL ; Correlation coefficient R between gas concentration and temperature NT ; Correlation coefficient R between gas concentration and CO concentration NC ; Correlation coefficient R between gas pressure and gas flow PL ; Correlation coefficient R between gas pressure and temperature PT ; Correlation coefficient R between gas pressure and CO concentration PC ; Correlation coefficient R between gas flow and temperature LT ; Correlation coefficient R between gas flow rate and CO concentration LC ; Correlation coefficient R between temperature and CO concentration TC .

6. A comprehensive monitoring method for coal mine gas control according to claim 5, characterized in that: in: XP=[NP, PP, LP, TP, CP]; NP is the mean of all Ni, PP is the mean of all Pi, LP is the mean of all Li, TP is the mean of all Ti, and CP is the mean of all Ci; XF=[NF, PF, LF, TF, CF]; NP is the standard deviation of all Ni, PP is the standard deviation of all Pi, LP is the standard deviation of all Li, TP is the standard deviation of all Ti, and CP is the standard deviation of all Ci; And XB=[NB, PB, LB, TB, CB]; NB is the change rate of all Ni, PB is the change rate of all Pi, LB is the change rate of all Li, TB is the change rate of all Ti, and CB is the change rate of all Ci.

7. A comprehensive monitoring method for coal mine gas control according to claim 6, characterized in that: The properties are evaluated as follows: StepH1.1, Gas concentration assessment If the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the gas concentration change rate NB is greater than the preset gas concentration change threshold NBy, a gas concentration warning signal 1 is generated; If the standard deviation NF of the gas concentration is greater than the preset gas concentration difference threshold NPy, a gas concentration warning signal 2 is generated; Step H1.2, Gas pressure assessment If the gas pressure mean PP is greater than the preset gas pressure threshold PPy, a gas pressure warning signal 1 is generated; If at least one of the comparison formulas of the standard deviation PF of the gas pressure is greater than the preset gas pressure difference threshold PFy and the change rate PB of the gas pressure is greater than the preset gas pressure change threshold PBy is established, then the second gas pressure warning signal is generated; StepH1.3, Gas flow assessment If the gas flow mean LP is less than the preset gas pressure threshold LPy, a gas flow warning signal is generated; StepH1.4, Temperature evaluation If the temperature average TP is greater than the preset temperature threshold TPy, and the temperature change rate TB is greater than the preset temperature change threshold TBy, a temperature warning signal is generated; Step H1.5, CO concentration assessment The CO concentration mean CP and change rate CB are important indicators for judging whether there is spontaneous combustion or other oxidation reactions in the coal seam; If the CO concentration CP is greater than the preset CO concentration threshold CPy, and the CO concentration change rate CB is greater than the preset CO concentration change threshold CBy, a CO concentration warning signal is generated.

8. A comprehensive monitoring method for coal mine gas control according to claim 7, characterized in that: The association evaluation method is as follows: StepH2.

1. Correlation between gas concentration and gas pressure If R NP When it is greater than the preset correlation threshold based on gas concentration and gas pressure, it indicates that the increase in gas pressure is accompanied by an increase in gas concentration; StepH2.2, gas concentration and gas flow correlation If R NL When it is greater than or equal to the preset correlation threshold based on gas concentration and gas flow, it indicates that the relationship between gas concentration and gas flow deviates from the normal emission law; StepH2.3, Gas concentration and temperature correlation If R NL When the absolute value of is greater than or equal to the preset correlation threshold based on gas concentration and temperature, it means that the correlation between gas concentration and temperature is strong; StepH2.4, Correlation between gas concentration and CO concentration If R NC is a positive number, and the gas concentration mean NP is greater than the preset gas concentration threshold NPy, and the CO concentration CP is greater than the preset CO concentration threshold CPy, it indicates that there is a risk of gas combustion or oxidation; StepH2.5, Gas pressure and gas flow correlation If R PL When it is less than the preset correlation threshold based on gas pressure and gas flow, it means that the resistance of the gas discharge channel has changed; StepH2.6, Gas pressure and temperature correlation If R PT is a positive number, and its value is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and temperature, and the mean temperature TP is greater than the preset temperature threshold TPy, indicating that the temperature increase causes the gas in the coal seam to expand; StepH2.7, Correlation between gas pressure and CO concentration If R PC If the absolute value of is greater than or equal to the preset correlation threshold value based on the correlation between gas pressure and CO concentration, it means that the change of gas pressure will affect the oxidation or combustion process of gas, and thus affect the CO concentration; StepH2.8, Gas flow and temperature correlation If R PL When it is a positive number and its value is greater than or equal to the preset threshold value associated with gas flow and temperature, it means that the increase in temperature is conducive to the desorption and flow of gas; StepH2.9, Correlation between gas flow and CO concentration If R LC When it is a negative number and its absolute value is greater than or equal to the preset correlation threshold based on gas flow and CO concentration, an abnormal change occurs on the surface; Step H2.10, Correlation between temperature and CO concentration If R TC If it is a positive number and its value is greater than or equal to the preset correlation threshold based on the correlation between temperature and CO concentration, it indicates that the correlation between temperature increase and CO concentration increase is strong.

9. A comprehensive monitoring method for coal mine gas control according to claim 1, characterized in that: in, The collected gas data is transmitted in real time to the ground monitoring center via wired or wireless transmission; various sensors collect gas-related data in real time at pre-set time intervals.

10. A comprehensive monitoring system for coal mine gas control, the system is used to implement a comprehensive monitoring method for coal mine gas control according to any one of claims 1 to 9, characterized in that: The system includes: The monitoring data collection unit is used to collect gas data corresponding to a plurality of preset designated collection points in the target monitoring area, and the gas data includes parameters corresponding to gas concentration, gas pressure, gas flow, temperature, and CO concentration; The monitoring data processing unit is used to perform attribute analysis on the gas data, and obtain the mean, standard deviation, change rate and correlation coefficient of each attribute of the gas data based on the attribute analysis; The data evaluation and analysis unit is used to monitor and evaluate the gas data, and the monitoring and evaluation includes attribute evaluation and correlation evaluation. Then, based on the attribute evaluation results, the early warning signals corresponding to the various attributes of the gas data are obtained, and based on the correlation evaluation results, the analysis conclusions of the correlation relationship between the various attributes of the gas data are obtained; The result output display unit is used to display the corresponding results of attribute analysis and processing and monitoring and evaluation in the ground monitoring center through a visual interface.

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