Gas interception and extraction control method based on gas monitoring

Abstract

The invention relates to the technical field of coal mine gas treatment, in particular to a gas interception control method based on gas monitoring, which comprises the following steps of: arranging a dustproof humidity sensor and an anti-explosion humidity sensor in a curing area, calculating a low-layer humidity difference and a high-layer humidity difference, and continuously intercepting gas when the low-layer humidity difference does not exceed a humidity difference critical value; in response to the fact that the low-layer humidity difference exceeds the humidity difference critical value, the overflow possibility is calculated, whether an emergency plan is started or not is judged according to the comparison result of the overflow possibility and the possibility threshold value, and the tiny humidity change is monitored through the humidity sensor, so that the dynamic change of gas is indirectly reflected; according to the method, the potential gas leakage or accumulation risk can be found in advance before the gas concentration reaches the dangerous threshold value, the gas leakage source is accurately positioned, the dynamic change conditions of the gas in different areas are accurately mastered through the humidity change, the gas interception and extraction efficiency is effectively improved, and the gas accumulation risk is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine gas control, and in particular to a gas interception and extraction control method based on gas monitoring. Background Art

[0002] In recent years, major coal-producing countries around the world have invested significant human, material, and financial resources in conducting extensive and effective research. This has led to a certain understanding of the mechanisms underlying the occurrence and development of coal and gas outbursts, and a series of comprehensive preventive measures have been developed accordingly, mitigating the scope and intensity of coal and gas outbursts to a certain extent. However, it should also be noted that coal and gas outbursts are a complex, special dynamic phenomenon influenced by numerous factors. While systematic research has been conducted, there remains a considerable gap between fully understanding the mechanisms of coal and gas outbursts and effectively controlling the causes. Current outburst prevention measures, in particular, still have inherent shortcomings. Therefore, further research into effective outburst prevention measures is of great practical significance for improving safety conditions in underground coal mines and ensuring the personal safety of coal miners.

[0003] Referring to a Chinese patent authorization announcement number CN104074539B, a gas interception and extraction structure and its implementation method are described. By setting up an ear drilling site, grouting holes are provided on the ear drilling site along the coal seam excavation direction, a solidification zone is provided in the coal seam area around the grouting holes, the coal seam inside the solidification zone is provided with a gas extraction hole inside the solidification zone, and the coal seam outside the solidification zone is provided with a gas extraction hole outside the solidification zone. This solves the problems of the existing gas extraction technology, such as the long extraction time, the large amount of gas to be extracted, the easy occurrence of gas over-limit and outburst accidents, and the many inconveniences and even dangers in gas control work. In general, the research on coal mine stone gate coal removal and crossing geological structure zones has achieved certain results, but there are still some problems and challenges. The grouting-solidification-interception and extraction comprehensive outburst prevention and rapid coal removal technology can not only realize the safe and rapid stone gate coal removal, but also ensure the safe and rapid excavation of the tunnel when crossing the fault.

[0004] Chinese Patent Grant Publication No.: CN103590855B discloses an upper corner gas monitoring system. It includes a first sensor installed above the coal mining face in the roadway and capable of being connected to the coal mining equipment control system, and a second sensor installed at the upper corner position in the roadway. Wireless transceiver modules are respectively arranged in the first sensor and the second sensor, and charging modules are respectively set in the first sensor and the second sensor. The first sensor is also connected to a power source through a power supply line and directly powered by the power source, and the second sensor is powered by the electric energy stored in the power module. After adopting the above structure, the gas concentration at the upper corner position can be monitored. By continuously detecting the methane gas concentration at the upper corner of the working face, the personnel on the ground can timely and accurately master the methane gas concentration situation at the underground upper corner, solving the problems of detecting the gas accumulation concentration at the upper corner of the coal mine underground working face and the movement of the sensor, and ensuring the safe progress of the daily normal production work.

[0005] Chinese Patent Grant Publication No.: CN104074545B discloses a coal and gas outburst monitoring system and a monitoring method. It includes a ground monitoring system electrically connected to a coal and gas outburst monitoring sub-station, characterized in that: the coal and gas outburst monitoring sub-station is electrically connected to a plurality of coal and gas outburst monitoring devices, and the explosion-proof and intrinsically safe power source supplies power to the coal and gas outburst monitoring sub-station and a plurality of coal and gas outburst monitoring devices. At the same time, a monitoring method of a coal and gas outburst monitoring system is disclosed. The invention can monitor the air pressure, gas concentration, and wind direction indicators in real time when a coal and gas outburst occurs, automatically alarm, can judge the time and location of the coal and gas outburst accident, combine with the monitoring method, timely and accurately judge the time and location of the coal and gas outburst accident, graphically display the affected range of the outburst accident, determine the evacuation route of underground personnel, and timely implement specific measures for accident handling, such as power-off, evacuation of people, etc., to avoid possible coal and gas explosions after a coal and gas outburst accident and minimize the losses caused by the accident.

[0006] However, the above methods have the following problems: It is impossible to set monitoring indicators to achieve comprehensive analysis at multiple points, so as to more accurately judge the change trend of gas concentration, which is likely to cause errors and misjudgments. Summary of the Invention

[0007] Therefore, the present invention provides a gas interception and extraction control method based on gas monitoring to overcome the problems in the prior art that it is impossible to set monitoring indicators to achieve comprehensive analysis at multiple points, so as to more accurately judge the change trend of gas concentration, which is likely to cause errors and misjudgments.

[0008] To achieve the above object, the present invention provides a gas interception and extraction control method based on gas monitoring, including step S1: taking the ear drill site as the starting point, setting a reference line at a standard distance along the driving direction, arranging and filling a number of grouting holes from top to bottom according to the reference line, taking the grouting holes as the center, setting the coal seam area within a preset range as the solidification area, and dividing the solidification area into the inner side of the solidification area and the outer side of the solidification area. It is characterized in that after step S1, it further includes:

[0009] Step S2: arranging dust-proof humidity sensors on the surface of the inner side of the solidification area, and arranging explosion-proof humidity sensors with the center of the surface of the outer side of the solidification area as the reference point to form a humidity sensor array;

[0010] Step S3: monitoring the noise of the solidification area, and dividing the humidity sensor array into an upper sensor array, a transition sensor array and a lower sensor array according to the tracing result of the noise monitoring;

[0011] Step S4: calculating the low-layer humidity difference and the high-layer humidity difference, and continuously intercepting and extracting gas in response to the low-layer humidity difference not exceeding the humidity difference critical value;

[0012] Step S5: in response to the low-layer humidity difference exceeding the humidity difference critical value, performing standard preprocessing on the low-layer humidity difference and the high-layer humidity difference to form humidity pre-information, in response to the input of the humidity pre-information, calling a prediction model, starting the learning process of the prediction model to obtain the overflow possibility, and in response to the comparison result between the overflow possibility and the possibility threshold, judging whether to start an emergency plan, where the emergency plan includes triggering an overflow alarm and covering the surface of the solidification area with foam.

[0013] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, the steps of arranging humidity sensors include:

[0014] Step S21: dividing the surface of the inner side of the solidification area into a number of rectangular areas;

[0015] Step S22: arranging dust-proof humidity sensors at the geometric centers of the rectangular areas;

[0016] Step S23: taking the center of the surface of the outer side of the solidification area as the reference point, arranging a number of circular arrangement circles along the radial direction in sequence, and the radii of adjacent circular arrangement circles increase in sequence, where the center of the circular arrangement circle coincides with the reference point;

[0017] Step S24: arranging explosion-proof humidity sensors at preset intervals along the circular arrangement circles to form a humidity sensor array.

[0018] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, the steps of dividing the humidity sensor array into an upper sensor array, a transition sensor array, and a lower sensor array include:

[0019] Step S31: Taking the noise source determined by the tracing result as the starting point, draw a transition line in a direction perpendicular to the plumb line. The transition line is perpendicular to the plumb line and intersects at the noise source.

[0020] Step S32: Based on the transition line, extend a fixed distance upward and downward respectively to divide the transition sensor array. The upper and lower boundaries of the transition sensor array are located above and below the transition line respectively, and the distances from the transition line satisfy the fixed distance.

[0021] Step S33: Divide the humidity sensors above the transition sensor array into the upper sensor array, and divide the humidity sensors below the transition sensor array into the lower sensor array.

[0022] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, a noise collection center is set in the solidification area, and when a noise signal is collected at the noise collection center, the noise signal is analyzed and processed to determine the noise source.

[0023] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, obtain the humidity values collected by the transition sensor array and the lower sensor array within the standard time, take the average values of the humidity values of the transition sensor array and the lower sensor array respectively to obtain the transition average value and the lower average value, and calculate the difference between the transition average value and the lower average value as the low-layer humidity difference.

[0024] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, obtain the humidity values collected by the upper sensor array within the standard time, take the average value of the humidity values of the upper sensor array to obtain the upper average value, and calculate the difference between the transition average value and the upper average value as the high-layer humidity difference.

[0025] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, the steps of performing standard preprocessing on the low-layer humidity difference and the high-layer humidity difference to form humidity pre-information include:

[0026] Step S41: Filter out the outliers in the low-layer humidity difference and the high-layer humidity difference.

[0027] Step S42: Divide the low-layer humidity difference and the high-layer humidity difference according to the standard learning rate to form corresponding humidity pre-information, where

[0028] The standard learning rate is the learning rate that can be recognized by the prediction model, and for single segmentation, the corresponding standard learning rate is a single learning rate.

[0029] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, the steps of building a prediction model include:

[0030] Step ST1, select the gas pressure standard as the input layer of the prediction model;

[0031] Step ST2, determine the number of hidden layers of the prediction model, where the number of hidden layers is adjusted according to the magnitude of the humidity difference critical value.

[0032] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, in response to the gas pressure standard, the solidified area is divided into the inner side and the outer side of the solidified area, where the gas pressure standard is related to the compressive strength of the grouting material, the gas content of the pressure measuring ground, and the size of the preset range.

[0033] As a preferred technical solution of a gas interception and extraction control method based on gas monitoring, in response to the overflow possibility not exceeding the possibility threshold, it is determined not to start the emergency plan, and the gas interception and extraction is continuously carried out;

[0034] In response to the overflow possibility exceeding the possibility threshold, it is determined to start the emergency plan and stop the gas interception and extraction, where the possibility threshold is the overflow possibility critical value obtained through a limited number of simulation experiments on gas overflow, and is used to judge whether the possibility of gas overflow has reached the standard for starting the emergency plan.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows: by arranging dust-proof humidity sensors and explosion-proof humidity sensors in the solidified area, calculating the low-layer humidity difference and the high-layer humidity difference, in response to the low-layer humidity difference not exceeding the humidity difference critical value, continuously intercepting and extracting gas, in response to the low-layer humidity difference exceeding the humidity difference critical value, calculating the overflow possibility, and in response to the comparison result between the overflow possibility and the possibility threshold, judging whether to start the emergency plan. By using humidity sensors to monitor tiny humidity changes, indirectly reflecting the dynamic changes of gas, it is possible to discover potential gas leakage or accumulation risks in advance before the gas concentration reaches the dangerous threshold, accurately locate the gas leakage source, and precisely master the dynamic changes of gas in different areas through humidity changes, effectively improving the gas interception and extraction efficiency and avoiding the danger of gas accumulation.

[0036] In particular, through the layout methods of the rectangular area and the circular layout circle, and the reasonable layout of the dust-proof humidity sensors and the explosion-proof humidity sensors, a humidity sensor array is formed, so that the distribution of the humidity sensors has a certain regularity and predictability, which is convenient for subsequent data sorting, analysis and visualization display. At the same time, the humidity information inside and outside the curing area is obtained. By comprehensively analyzing these humidity information, the humidity change conditions in different areas inside and outside the curing area can be observed more intuitively, potential abnormal areas can be found in time, and more reliable data support can be provided for judging whether the gas is within a safe range.

[0037] In particular, by dividing the humidity sensor array into an upper sensor array, a transition sensor array and a lower sensor array, the monitoring key points of different areas can be clarified. By using the transition sensor array to monitor the humidity change near the noise source, the position of gas leakage or accumulation can be located more accurately, and the humidity anomaly can be found in time, so as to early warn the risk of gas leakage or accumulation and provide more sufficient time for taking preventive measures.

[0038] In particular, by filtering out the outliers, the inaccurate data caused by humidity sensor failures, environmental interference or other factors can be effectively removed, thereby improving the data quality input into the prediction model. Outlier filtering and appropriate learning rate segmentation can help the prediction model better adapt to normal data changes, reduce the overfitting of the prediction model to abnormal data, enhance the robustness and generalization ability of the prediction model, and thus improve the recognition effect of the humidity model on the possibility of gas overflow. Brief Description of the Drawings

[0039] Figure 1 It is a flowchart of a gas interception and extraction control method based on gas monitoring according to an embodiment of the present invention;

[0040] Figure 2 It is a flowchart of arranging humidity sensors according to an embodiment of the present invention;

[0041] Figure 3 It is a flowchart of dividing the humidity sensor array into an upper sensor array, a transition sensor array and a lower sensor array according to an embodiment of the present invention;

[0042] Figure 4 It is a flowchart of performing standard preprocessing on the low-layer humidity difference and the high-layer humidity difference to form humidity pre-information according to an embodiment of the present invention. Detailed Embodiments

[0043] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0044] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0045] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0046] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0047] Please refer to Figure 1 As shown, it is a flowchart of a gas interception and extraction control method based on gas monitoring in an embodiment of the present invention, including step S1. Starting from the ear drilling site, a reference line is set at standard intervals along the driving direction. A number of grouting holes are arranged and filled from top to bottom according to the reference line. Taking the grouting holes as the center, the coal seam area within a preset range is set as the solidification area. The solidification area is divided into the inner side of the solidification area and the outer side of the solidification area. It is characterized in that after step S1, it further includes:

[0048] Step S2, a dust-proof humidity sensor is arranged on the surface of the inner side of the solidification area, and an explosion-proof humidity sensor is arranged with the center of the surface of the outer side of the solidification area as the reference point to form a humidity sensor array;

[0049] Step S3, noise monitoring is carried out on the solidification area. According to the tracing result of the noise monitoring, the humidity sensor array is divided into an upper sensor array, a transition sensor array, and a lower sensor array;

[0050] Step S4, calculate the low-layer humidity difference and the high-layer humidity difference. In response to the low-layer humidity difference not exceeding the humidity difference critical value, continuously intercept and extract gas;

[0051] Step S5: In response to the low-layer humidity difference exceeding the humidity-difference critical value, perform standard preprocessing on the low-layer humidity difference and the high-layer humidity difference to form humidity pre-information. In response to the input of the humidity pre-information, call the prediction model and start the learning process of the prediction model to obtain the overflow possibility. Further, based on the comparison result between the overflow possibility and the possibility threshold, determine whether to activate the emergency plan, where the emergency plan includes triggering an overflow alarm and covering the surface of the solidification area with foam.

[0052] Exemplarily, when the overflow possibility exceeds the threshold, immediately activate the alarm system (such as an audible and visual alarm, a bell, etc.) to ensure that the alarm information can be quickly spread to the solidification area and its surrounding areas, notify all personnel, and organize personnel to evacuate the dangerous area along the predetermined emergency evacuation route to ensure the safety of personnel.

[0053] Ensure that the foam covering equipment (such as a foam generator, a foam spray gun, etc.) is in good condition and has been connected to the foam liquid supply source. Operate the foam covering equipment to evenly spray the foam on the surface of the solidification area. During the spraying process, pay attention to covering the entire area, especially the parts where gas may overflow. After the foam covering, regularly check the integrity and effectiveness of the foam layer, and promptly supplement or repair the damaged foam layer to ensure that it can continuously play the role of isolating gas.

[0054] The reason for using the humidity change to reflect the gas change to replace the direct monitoring of gas change in the traditional method is as follows:

[0055] 1. When gas leaks or accumulates, it will change the humidity distribution of the surrounding environment. The humidity sensor can detect this slight humidity change, thereby indirectly reflecting the dynamic change of gas. This indirect monitoring method can detect potential gas leakage or accumulation risks in advance before the gas concentration reaches the dangerous threshold. Directly monitoring the gas concentration requires the gas concentration to reach a certain level to be detected, while humidity monitoring can capture the signs of gas leakage earlier, providing more time for taking intervention measures, thus effectively preventing the occurrence of gas accidents.

[0056] 2. When directly monitoring the gas concentration, the gas sensor will be interfered by other gases, resulting in false alarms or missed alarms. The humidity sensor is relatively stable and less likely to be interfered by other gases, and can more accurately reflect the environmental changes.

[0057] 3. Gas sensors (such as catalytic combustion type or infrared absorption type sensors) are prone to poisoning or damage in a high-concentration gas environment and need to be frequently replaced or calibrated. The humidity sensor has stronger environmental adaptability, longer service life, and lower maintenance costs.

[0058] 4. Humidity changes can spread over a larger spatial range. Therefore, the humidity sensor can cover a wider area, rather than just the local area near the gas leakage point. This extensive monitoring range can more comprehensively sense the influence range of gas leakage and reduce the monitoring blind spots.

[0059] In the above embodiment, by arranging dust-proof humidity sensors and explosion-proof humidity sensors in the curing area, calculating the low-layer humidity difference and the high-layer humidity difference, continuously intercepting and pumping gas in response to the low-layer humidity difference not exceeding the humidity difference critical value, calculating the overflow possibility in response to the low-layer humidity difference exceeding the humidity difference critical value, and judging whether to start the emergency plan according to the comparison result of the overflow possibility and the possibility threshold. By using the humidity sensor to monitor minute humidity changes, indirectly reflecting the dynamic changes of gas, it is possible to detect potential gas leakage or accumulation risks in advance before the gas concentration reaches the dangerous threshold, accurately locate the gas leakage source, precisely master the dynamic changes of gas in different areas through humidity changes, effectively improve the gas interception and pumping efficiency, and avoid the danger of gas accumulation.

[0060] Please refer to Figure 2 as shown, which is the flowchart of arranging humidity sensors in the embodiment of the present invention, including:

[0061] Step S21, dividing the inner surface of the curing area into several rectangular areas;

[0062] Step S22, arranging dust-proof humidity sensors at the geometric centers of the rectangular areas;

[0063] Step S23, taking the center of the outer surface of the curing area as the reference point, successively arranging several circular arrangement circles along the radial direction, and the radii of adjacent circular arrangement circles increase successively, wherein the center of the circular arrangement circle coincides with the reference point;

[0064] Step S24, arranging explosion-proof humidity sensors at preset intervals along the circular arrangement circles to form a humidity sensor array.

[0065] Exemplarily, when setting the rectangular areas, determine the dimensions of the rectangular areas, such as the side lengths, according to the shape and size of the inner side of the curing area. Measuring tools or devices such as laser rangefinders can be used. Starting from one end of the inner surface of the curing area, divide several rectangular areas successively according to the rectangular division rules, ensuring that the divided areas cover the entire inner surface of the curing area and are closely connected to each other without obvious overlap or gap.

[0066] For each divided rectangular area, calculate the specific coordinate position of its geometric center. Generally, the geometric center of a rectangle is the intersection point of the lines connecting the midpoints of its four sides. After determining the geometric center, use appropriate tools and equipment to install a dust-proof humidity sensor at this position. Ensure that the sensor is stable during installation and its measuring part is in full contact with the surrounding environment to accurately obtain humidity information.

[0067] When determining the circular layout circles, first determine the surface center outside the solidification area as the reference point, and this reference point is determined by measuring the geometric shape of the outer surface. With the reference point as the center of the circle, use measuring tools or robotic arms and other equipment to successively arrange several circular layout circles along the radial direction at a certain radius interval.

[0068] Exemplarily, the radius of the first circular layout circle is set according to the actual monitoring requirements and the size of the outside of the solidification area, and then the radius of adjacent circular layout circles increases by 1 meter successively, ensuring that the center of each circular layout circle coincides with the reference point. Along each circular layout circle, set the installation positions of an explosion-proof humidity sensor at a preset arc length interval of 1 meter and an angular interval of 30°, and then install explosion-proof sensors at these installation positions. Also ensure the measurement accuracy of the sensors during installation, and finally form a complete humidity sensor array.

[0069] This layout method of arranging dust-proof humidity sensors in the inner part using rectangular areas and explosion-proof humidity sensors in the outer part using circular layout circles is based on a comprehensive consideration of gas diffusion characteristics, sensor functions, and monitoring requirements. The layout in rectangular areas can ensure uniform coverage of the inner area and dust-proof monitoring requirements because the humidity monitoring in the inner area is evenly distributed and representative. This layout method can avoid monitoring blind spots and accurately grasp the humidity changes in the inner part. The outer circular layout circles and the explosion-proof humidity sensors arranged at intervals along the circumference can conduct hierarchical monitoring of areas in different distance ranges outside, form a complete monitoring layout, fully cover the outside of the solidification area, timely detect abnormal changes in the outside humidity, better simulate the gas diffusion path, and improve the monitoring accuracy and safety of the outer area. This layout method can effectively improve the overall performance of the gas monitoring system and ensure early warning of gas leakage and accident prevention.

[0070] Different types of humidity sensors are arranged separately on the inner and outer sides. The dust-proof humidity sensor and the explosion-proof humidity sensor each perform their own functions, meet the monitoring requirements of different areas, reduce the interference of dust and explosion risks on monitoring, and improve the reliability and stability of the monitoring system. The reasonable layout method and scientific sensor distribution also reduce the risk of monitoring data deviation or missing caused by individual sensor failures or unreasonable layouts, improve the redundancy and reliability of the entire humidity monitoring system, and ensure the continuity and safety of the gas drainage process.

[0071] Please refer toFigure 3 As shown, it is a flow chart of dividing the humidity sensor array into an upper sensor array, a transition sensor array, and a lower sensor array according to an embodiment of the present invention, including:

[0072] Step S31: Starting from the noise source determined by the tracing result, a transition line is drawn in a direction perpendicular to the plumb line. The transition line and the plumb line are perpendicular to each other and intersect at the noise source.

[0073] Step S32: Using the transition line as a reference, the transition sensor array is divided by extending a fixed distance upward and downward. The upper and lower boundaries of the transition sensor array are respectively located above and below the transition line, and the distance from the transition line meets the fixed distance.

[0074] Step S33: Divide the humidity sensors above the transition sensor array into an upper sensor array, and divide the humidity sensors below the transition sensor array into a lower sensor array.

[0075] For example, when the gas content increases, pressure changes within the coal seam cause slight deformations or movements in the coal seam structure. These deformations or movements generate weak vibrations, which are then converted into detectable noise signals. By monitoring the noise, changes in gas content can be indirectly detected. First, noise monitoring equipment is used to monitor the solidification area and determine the specific location of the noise source. The noise source is a gas leak, ventilation equipment, or other interference source. Using the transition line as a reference, a fixed spacing is extended upward and downward. This fixed spacing is determined based on the actual monitoring needs and the density of the humidity sensor layout.

[0076] In the above embodiment, by dividing the humidity sensor array into an upper sensor array, a transition sensor array and a lower sensor array, the monitoring focus of different areas can be clarified. By using the transition sensor array to monitor the humidity changes near the noise source, the location of gas leakage or accumulation can be located more accurately, and humidity anomalies can be discovered in time, thereby providing early warning of the risk of gas leakage or accumulation, providing more time for taking preventive measures.

[0077] Specifically, a noise collection center is provided in the curing area, and when the noise signal is collected by the noise collection center, the noise signal is analyzed and processed to determine the source of the noise.

[0078] Exemplarily, a noise collection center is set up in the curing area. The location of the noise collection center should be able to cover the noise monitoring range of the entire curing area, have high sensitivity and wide-band response, be able to capture weak noise signals, and avoid interference from other non-gas-related noise sources.

[0079] Specifically, obtain the humidity values collected by the transition sensor array and the lower sensor array within the standard time, calculate the average values of the humidity values of the transition sensor array and the lower sensor array respectively to obtain the transition average value and the lower average value, and calculate the difference between the transition average value and the lower average value as the lower layer humidity difference.

[0080] Specifically, obtain the humidity value collected by the upper sensor array within the standard time, calculate the average value of the humidity value of the upper sensor array to obtain the upper average value, and calculate the difference between the transition average value and the upper average value as the upper layer humidity difference.

[0081] Exemplarily, select a fixed time period as the standard time, and the preferred standard time is 10 minutes. Within the standard time, collect the humidity values of the transition sensor array, the lower sensor array, and the upper sensor array respectively.

[0082] In some specific implementations, the standard time is set to 10 minutes.

[0083] The humidity values of the transition sensor array are: 45%, 46%, 47%, 48%, 49%, then the transition average value is 47%;

[0084] The humidity values of the lower sensor array are 50%, 51%, 52%, 53%, 54%, then the lower average value is 52%;

[0085] The humidity values of the upper sensor array are 40%, 41%, 42%, 43%, 44%, then the upper average value is 42%;

[0086] Then the lower layer humidity difference is 52% - 47% = 5%, and the upper layer humidity difference is 47% - 42% = 5%.

[0087] In the above embodiments, by calculating the lower layer humidity difference and the upper layer humidity difference, the humidity change can be dynamically reflected, realizing the early warning and accurate positioning of gas leakage or accumulation, ensuring that the gas concentration is always within the safe range, thereby improving the reliability and safety of the gas monitoring system.

[0088] Please refer to Figure 4 As shown, it is a flowchart of the present invention's embodiment for standard preprocessing of the lower layer humidity difference and the upper layer humidity difference to form humidity pre-information, including:

[0089] Step S41, filter out the outliers in the lower layer humidity difference and the upper layer humidity difference;

[0090] Step S42, segment the lower layer humidity difference and the upper layer humidity difference according to the standard learning rate to form the corresponding humidity pre-information, where

[0091] The standard learning rate is the learning rate that the prediction model can recognize, and for a single segmentation, the corresponding standard learning rate is a single learning rate.

[0092] Exemplarily, the number of hidden layers is adjusted according to the magnitude of the humidity difference critical value. When the humidity difference critical value is large, more hidden layers are required to capture complex humidity change patterns; when the humidity difference critical value is small, fewer hidden layers are needed.

[0093] The steps to determine the humidity difference critical value are as follows:

[0094] Select a representative curing area environment to ensure that the experimental conditions are similar to the actual application scenario. Arrange the transition sensor array, lower sensor array, and upper sensor array according to the actual monitoring plan. Collect humidity data under different gas leakage scenarios (including normal, slight leakage, and severe leakage), conduct multiple experiments, and determine the relationship between the humidity difference and the gas leakage risk by comparing the humidity difference and gas concentration data. Based on the experimental data, select a humidity difference value that can effectively distinguish between the normal state and the dangerous state as the critical value.

[0095] Experimental scenario 1: Normal state;

[0096] Lower layer humidity difference: The average value is 5%, and the standard deviation is 1%;

[0097] Upper layer humidity difference: The average value is 4%, and the standard deviation is 1%;

[0098] Gas concentration: The average value is 0.5% (within the safe range);

[0099] Experimental scenario 2: Slight leakage;

[0100] Lower layer humidity difference: The average value is 8%, and the standard deviation is 2%;

[0101] Upper layer humidity difference: The average value is 6%, and the standard deviation is 2%;

[0102] Gas concentration: The average value is 1.0% (close to the safety threshold);

[0103] Experimental scenario 3: Severe leakage;

[0104] Lower layer humidity difference: The average value is 12%, and the standard deviation is 3%;

[0105] Upper layer humidity difference: The average value is 10%, and the standard deviation is 3%;

[0106] Gas concentration: The average value is 2.0% (dangerous state);

[0107] By comparing the data of the normal state and the slight leakage state, it can be found that when the humidity difference is within 8%, the gas concentration is close to the safety threshold. Therefore, the humidity difference critical value is set to 8%.

[0108] The prediction model can select neural network models (such as multi-layer perceptrons, convolutional neural networks, recurrent neural networks, etc.) because the humidity pre-information has complex non-linear relationships. For example, the relationship between the humidity difference and the possibility of gas overflow is not a simple linear correspondence. Neural networks can automatically learn these complex non-linear patterns through multi-layer neuron structures, thus more accurately modeling and predicting data. The humidity pre-information is time series data with temporal continuity and dependence. Recurrent neural networks (RNNs) and their variants (such as long short-term memory networks LSTMs, gated recurrent units GRUs) can effectively process such data. Recurrent neural networks and their variants can remember the information from previous time steps and combine it with the data of the current time step for analysis, which is very useful for capturing the changing trend of humidity over time and the dynamic process of gas overflow, and can better predict future humidity changes and the possibility of gas overflow.

[0109] In the above embodiments, by filtering out outliers, inaccurate data caused by humidity sensor failures, environmental disturbances, or other factors can be effectively removed, thereby improving the data quality input into the prediction model. Outlier filtering and appropriate learning rate segmentation can help the prediction model better adapt to normal data changes, reduce the overfitting of the prediction model to abnormal data, enhance the robustness and generalization ability of the prediction model, and thus improve the recognition effect of the humidity model on the possibility of gas overflow.

[0110] Specifically, the steps of building the prediction model include:

[0111] Step ST1, select the gas pressure standard as the input layer of the prediction model;

[0112] Step ST2, determine the number of hidden layers of the prediction model, where the number of hidden layers is adjusted according to the magnitude of the humidity difference critical value.

[0113] Exemplarily, according to the physical and mechanical properties of the grouting material, determine the maximum gas pressure it can withstand, which is obtained through the compressive strength test of the grouting material or by referring to the data provided by the material supplier. Use professional gas content measurement equipment to conduct on-site measurements at the pressure measurement site to obtain the gas content in this area. The size of the preset range will affect the distribution and influence range of the gas pressure, and the size of the preset range is determined according to factors such as geological conditions and mining plans. Combining the compressive strength of the grouting material, the gas content at the pressure measurement site, and the size of the preset range, calculate and determine the gas pressure standard through methods such as numerical simulation or engineering empirical formulas.

[0114] Specifically, in response to the gas pressure standard, the solidified area is divided into the inner side and the outer side of the solidified area, where the gas pressure standard is related to the compressive strength of the grouting material, the gas content at the pressure measurement site, and the size of the preset range.

[0115] Specifically, when the probability of overflow does not exceed the probability threshold, it is determined not to activate the emergency plan, and continuous gas interception and extraction are carried out.

[0116] When the probability of overflow exceeds the probability threshold, it is determined to activate the emergency plan and stop gas interception and extraction. The probability threshold is the critical value of the overflow probability obtained through a limited number of simulation experiments on gas overflow, used to determine whether the probability of gas overflow has reached the standard for activating the emergency plan.

[0117] Exemplarily,

[0118] The steps to determine the probability threshold are as follows:

[0119] Select a representative solidified area environment to ensure that the experimental conditions are similar to the actual application scenario. Arrange the humidity sensor array, gas concentration sensor, and pressure sensor according to the actual monitoring plan. By artificially controlling the gas leakage volume and leakage speed, simulate the gas overflow situation under different scenarios, collect data such as humidity difference, gas concentration, and gas pressure respectively, and record whether gas overflows and the severity of the overflow in each experiment. According to the experimental data, select an overflow probability value that can effectively distinguish the normal state and the dangerous state as the probability threshold.

[0120] Experimental scenario 1: Normal state;

[0121] Gas pressure: 0.5 MPa;

[0122] Humidity difference: The lower layer humidity difference is 5%, and the upper layer humidity difference is 4%;

[0123] Gas concentration: 0.5% (safe range);

[0124] Overflow probability: 10% (low risk);

[0125] Whether it overflows: No overflow;

[0126] Experimental scenario 2: Slight overflow risk;

[0127] Gas pressure: 0.8 MPa;

[0128] Humidity difference: The lower layer humidity difference is 8%, and the upper layer humidity difference is 6%;

[0129] Gas concentration: 1.0% (close to the safety threshold);

[0130] Overflow probability: 30% (medium risk);

[0131] Whether it overflows: Slight overflow;

[0132] Experimental scenario 3: Severe overflow risk;

[0133] Gas pressure: 1.2 MPa;

[0134] Humidity difference: The humidity difference at the lower layer is 12%, and the humidity difference at the upper layer is 10%;

[0135] Gas concentration: 2.0% (hazardous state);

[0136] Spillover possibility: 70% (high risk);

[0137] Whether there is a spillover: Severe spillover;

[0138] By comparing the data in the normal state and the slight spillover risk state, it can be found that when the spillover possibility reaches 30%, the gas concentration is close to the safety threshold and there is a slight spillover. Therefore, the possibility threshold is set at 30%.

[0139] The flowcharts in the accompanying drawings illustrate the possible architectures, functions, and operations of the devices, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based device for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0140] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0141] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A gas interception and extraction control method based on gas monitoring, comprising step S1: taking the ear drill site as the starting point, setting a reference line at standard intervals along the driving direction, arranging and filling several grouting holes from top to bottom according to the reference line, taking the grouting holes as the center, setting the coal seam area within a preset range as the solidification area, and dividing the solidification area into the inner side and the outer side of the solidification area, characterized in that, After the step S1, the following steps are further included: Step S2, arranging dust-proof humidity sensors on the inner surface of the curing area, and arranging explosion-proof humidity sensors with the center of the outer surface of the curing area as the reference point to form a humidity sensor array; Step S3, monitoring the noise of the curing area, and dividing the humidity sensor array into an upper sensor array, a transition sensor array, and a lower sensor array according to the traceability result of the noise monitoring; Step S4, calculating the low-layer humidity difference and the high-layer humidity difference, and continuously intercepting and pumping gas in response to the low-layer humidity difference not exceeding the humidity difference critical value; Step S5, in response to the low-layer humidity difference exceeding the humidity difference critical value, performing standard preprocessing on the low-layer humidity difference and the high-layer humidity difference to form humidity pre-information, calling a prediction model in response to the input of the humidity pre-information, starting the learning process of the prediction model to obtain the overflow possibility, and, in response to the comparison result between the overflow possibility and the possibility threshold, determining whether to start an emergency plan, where the emergency plan includes triggering an overflow alarm and covering the surface of the curing area with foam.

2. The gas interception and extraction control method based on gas monitoring according to claim 1, characterized in that, The step of arranging humidity sensors includes: Step S21, dividing the inner surface of the curing area into several rectangular areas; Step S22, arranging dust-proof humidity sensors at the geometric centers of the rectangular areas; Step S23, taking the center of the outer surface of the curing area as the reference point, arranging several circular arrangement circles in sequence along the radial direction, and the radii of adjacent circular arrangement circles increase in sequence, where the center of the circular arrangement circle coincides with the reference point; Step S24, arranging explosion-proof humidity sensors at preset intervals along the circular arrangement circles to form a humidity sensor array.

3. The gas interception and extraction control method based on gas monitoring according to claim 2, characterized in that, The step of dividing the humidity sensor array into an upper sensor array, a transition sensor array, and a lower sensor array includes: Step S31, taking the noise source determined by the traceability result as the starting point, making a transition line in the direction perpendicular to the plumb line, and the transition line is perpendicular to the plumb line and intersects at the noise source; Step S32, taking the transition line as the reference, extending a fixed distance upward and downward respectively to divide the transition sensor array, and the upper and lower boundaries of the transition sensor array are located above and below the transition line respectively, and the distances from the transition line satisfy the fixed distance; Step S33, dividing the humidity sensors above the transition sensor array into an upper sensor array, and dividing the humidity sensors below the transition sensor array into a lower sensor array.

4. The gas interception and extraction control method based on gas monitoring according to claim 3, characterized in that The curing area is provided with a noise collection center, and when a noise signal is collected at the noise collection center, the noise signal is analyzed and processed to determine the noise source.

5. The gas interception and extraction control method based on gas monitoring according to claim 4, characterized in that, Obtain the humidity values collected by the transition sensor array and the lower sensor array within the standard time, take the average values of the humidity values of the transition sensor array and the lower sensor array respectively to obtain the transition average value and the lower average value, and calculate the difference between the transition average value and the lower average value as the low-layer humidity difference.

6. The gas interception and extraction control method based on gas monitoring according to claim 5, characterized in that Obtain the humidity values collected by the upper sensor array within the standard time, take the average of the humidity values of the upper sensor array to obtain the upper average value, and calculate the difference between the transition average value and the upper average value as the high-level humidity difference.

7. The gas cut-off control method based on gas monitoring according to claim 6, characterized in that, The steps of performing standard preprocessing on the low-level humidity difference and the high-level humidity difference to form humidity pre-information include: Step S41, filtering out the outliers in the low-level humidity difference and the high-level humidity difference; Step S42, dividing the low-level humidity difference and the high-level humidity difference according to the standard learning rate to form corresponding humidity pre-information, where the standard learning rate is the learning rate that the prediction model can recognize, and for a single division, its corresponding standard learning rate is a single learning rate.

8. The gas interception and extraction control method based on gas monitoring according to claim 7, characterized in that The steps of building a prediction model include: Step ST1, selecting the gas pressure standard as the input layer of the prediction model; Step ST2, determining the number of hidden layers of the prediction model, where the number of hidden layers is adjusted according to the magnitude of the humidity difference critical value.

9. The gas interception and extraction control method based on gas monitoring according to claim 8, characterized in that, In response to the gas pressure standard, the solidified area is divided into the inner side and the outer side of the solidified area, where the gas pressure standard is related to the compressive strength of the grouting material, the gas content of the pressure measuring site, and the size of the preset range.

10. The gas interception and extraction control method based on gas monitoring according to claim 9, characterized in that, In response to the overflow possibility not exceeding the possibility threshold, it is determined not to activate the emergency plan, and continuous gas interception and extraction are carried out; In response to the overflow possibility exceeding the possibility threshold, it is determined to activate the emergency plan and stop the gas interception and extraction, where the possibility threshold is the overflow possibility critical value obtained through a limited number of simulation experiments on gas overflow, and is used to determine whether the possibility of gas overflow has reached the standard for activating the emergency plan.

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