Method and system for analyzing components of gas discharged by coal gangue pile

Abstract

The invention relates to a coal gangue pile exhaust gas component analysis method and system, and relates to the field of gas analysis, and the method comprises the steps: obtaining a multi-frame image and temperature of each discharge port in a coal gangue pile, and oxygen concentration, carbon monoxide concentration, carbon dioxide concentration and nitrogen oxide concentration in each discharge port; based on the temperature, the oxygen concentration, the carbon monoxide concentration, the carbon dioxide concentration and the nitrogen oxide concentration, the first spontaneous combustion intensity in the pile body at each discharge port is determined, and the smoke characteristics of each discharge port in each frame of image are determined from multiple frames of images; determining the second spontaneous combustion intensity of the interior of the pile body at each discharge port based on the smoke characteristics in each frame of image, and determining the overall spontaneous combustion intensity of the coal gangue pile body based on the first spontaneous combustion intensity and the second spontaneous combustion intensity of the interior of the pile body at each discharge port. According to the method and the device, the spontaneous combustion intensity in the coal gangue pile body can be accurately determined according to the gas discharged by the coal gangue pile body.

Description

Technical Field

[0001] This application relates to the field of gas analysis, and in particular to a method and system for analyzing the composition of gases emitted from coal gangue piles. Background Technology

[0002] Large quantities of coal gangue solid waste generated during coal mining are typically stored in the open, forming coal gangue piles. Because these piles contain pulverized coal, combustible minerals, and other combustible materials, these materials undergo oxidation reactions and spontaneous combustion within the pile. This spontaneous combustion releases gases, which flow through the internal gaps and rise to the surface, ultimately escaping into the atmosphere through vents on the surface. The amount of gas emitted during spontaneous combustion reflects, to some extent, the intensity of the combustion within the pile. Therefore, accurately determining the intensity of spontaneous combustion within a coal gangue pile based on the degree of gas emission becomes a crucial issue. Summary of the Invention

[0003] In order to accurately determine the degree of spontaneous combustion inside a coal gangue pile based on the emissions from the coal gangue pile, this application provides a method and system for analyzing the composition of emissions from a coal gangue pile.

[0004] In a first aspect, this application provides a method for analyzing the composition of gases emitted from coal gangue piles, employing the following technical solution: A method for analyzing the composition of gases emitted from a coal gangue pile, comprising: Acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration at each discharge port on the coal gangue pile; The initial spontaneous combustion intensity inside the pile at each discharge port was determined based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. The smoke features at each emission point in each frame of the image were identified from multiple frames, and the second degree of spontaneous combustion intensity inside the pile at each emission point was determined based on the smoke features in each frame of the image. The overall spontaneous combustion intensity of the coal gangue pile is determined based on the first and second spontaneous combustion intensity within the pile at each discharge outlet.

[0005] By adopting the above technical solution, multiple frames of images, temperature, oxygen concentration, and other data are obtained at each emission point to facilitate subsequent analysis of the gas composition at each emission point. Data such as temperature, oxygen concentration, and carbon monoxide concentration are specific components, concentrations, and temperature characteristics of the emitted gas. Analyzing these data allows for accurate determination of the first spontaneous combustion intensity within the pile at each emission point. The multiple frames of images record the smoke characteristics formed by the emitted gas at each emission point. Therefore, identifying the smoke characteristics at each emission point from the multiple frames of images and analyzing these characteristics allows for accurate determination of the second spontaneous combustion intensity within the pile at each emission point. Finally, a comprehensive analysis of the first and second spontaneous combustion intensities yields an accurate overall spontaneous combustion intensity within the coal gangue pile. In other words, a more accurate overall spontaneous combustion intensity is obtained by combining the analysis of the emitted gas composition and smoke characteristics.

[0006] In another possible implementation, determining the initial spontaneous combustion intensity within the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration includes: Determine a first concentration ratio of the carbon dioxide concentration to the carbon monoxide concentration; Determine a second concentration ratio of the nitrogen oxide concentration to the oxygen concentration; The sub-intensity value at each emission point is determined based on the first concentration ratio, the second concentration ratio, and the temperature. The temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration are defined as the data collection group. From multiple historical data groups in the historical database, the target data group that is closest to the data collection group is determined. Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion. The first spontaneous combustion degree value inside the pile at each discharge port is determined based on the sub-intensity value and the spontaneous combustion degree value of the target data group.

[0007] In another possible implementation, determining the target data group closest to the collected data group from multiple data groups in the historical database includes: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set; The deviation score for each historical data group is determined based on the difference and weight of each data point. The historical data group with the smallest deviation score is identified as the closest target data group.

[0008] In another possible implementation, determining the second spontaneous combustion intensity within the pile at each emission port based on smoke features in each frame of the image includes: Determine the contour of the smoke features in each frame of the image, and determine the contour area of ​​the smoke features in each frame of the image. The area of ​​the emission outlet is determined from the multiple frames of images corresponding to each emission outlet, and the target ratio of the contour area of ​​the smoke feature in each frame to the area of ​​the emission outlet is determined. Calculate the average ratio of the target ratios for all frames of images; The contour similarity of smoke features between adjacent frames is calculated sequentially based on the time series of multiple frames. Determine the average similarity and variance of the total contour similarity for each emission outlet; The second spontaneous combustion intensity inside the pile at each discharge port is determined based on the average ratio, average similarity, and similarity variance.

[0009] In another possible implementation, the method further includes: Perform grayscale transformation on each frame of the image from each emission outlet to obtain the corresponding grayscale image for each frame; Determine the gray value of each pixel within the contour range of the smoke feature in each grayscale image, and determine the first average gray value of the smoke feature in each grayscale image based on the gray value of each pixel; The first target average value is obtained by averaging the average of the first grayscale values ​​in all frames of images for each emission outlet. The specified area above the emission port is obtained by extending upward from the emission port area of ​​each frame image, and the average value of the second grayscale value of the smoke feature within the specified area is determined. The average third grayscale value of the smoke features outside the specified area is determined from each frame of the image; The second target average value is obtained by averaging the average of the second gray values ​​in all frame images of each emission port, and the third target average value is obtained by averaging the average of the third gray values ​​in all frame images of each emission port. Determine the ratio of the second target average value to the third target average value, and determine the correction value for the second spontaneous combustion severity of each emission outlet based on the first target average value and the ratio of the second target average value to the third target average value. The corrected second spontaneous combustion severity value for each emission outlet is obtained by summing the corrected value and the second spontaneous combustion severity value.

[0010] In another possible implementation, determining the overall spontaneous combustion intensity of the coal gangue pile based on a first spontaneous combustion intensity and a second spontaneous combustion intensity within the pile at each discharge port includes: The total spontaneous combustion intensity inside the pile at each emission port is determined based on the first spontaneous combustion intensity, the second spontaneous combustion intensity, and their respective weights. The overall spontaneous combustion intensity of the coal gangue pile is obtained by averaging the total spontaneous combustion intensity inside the pile at all discharge outlets.

[0011] In another possible implementation, the method further includes: The overall intensity of spontaneous combustion of the coal gangue pile is sent to the terminal equipment of the staff.

[0012] Secondly, this application provides a system for analyzing the composition of gases emitted from coal gangue piles, employing the following technical solution: A system for analyzing the composition of emissions from a coal gangue pile, comprising: The data acquisition module is used to acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration at each discharge port on the coal gangue pile. The first determining module is used to determine the first spontaneous combustion intensity inside the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. The second determining module is used to identify the smoke features of each emission port in each frame of the multi-frame images, and to determine the second spontaneous combustion intensity inside the pile at each emission port based on the smoke features in each frame of the images. The third determining module is used to determine the overall spontaneous combustion intensity of the coal gangue pile based on the first spontaneous combustion intensity and the second spontaneous combustion intensity inside the pile at each discharge port.

[0013] By adopting the above technical solution, the data acquisition module acquires multiple frames of images, temperature, oxygen concentration, and other data at each emission port to facilitate subsequent analysis of the gas composition at each emission port. Data such as temperature, oxygen concentration, and carbon monoxide concentration are specific components, concentrations, and temperature characteristics of the emitted gas. The first determination module can accurately analyze the first spontaneous combustion intensity inside the pile at each emission port by analyzing the data such as temperature, oxygen concentration, and carbon monoxide concentration. The multiple frames of images record the smoke characteristics formed by the emitted gas at each emission port. Therefore, the second determination module can identify the smoke characteristics at each emission port from the multiple frames of images and accurately determine the second spontaneous combustion intensity inside the pile at each emission port by analyzing the smoke characteristics in the multiple frames of images. Finally, the third determination module can obtain the accurate overall spontaneous combustion intensity inside the coal gangue pile by comprehensively analyzing the first and second spontaneous combustion intensities. That is, the overall spontaneous combustion intensity inside the pile is more accurately obtained by comprehensively analyzing the composition analysis of the emitted gas at the emission port and the smoke analysis.

[0014] In another possible implementation, when the first determining module determines the first spontaneous combustion intensity inside the pile at each emission port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration, it is specifically used for: Determine a first concentration ratio of the carbon dioxide concentration to the carbon monoxide concentration; Determine a second concentration ratio of the nitrogen oxide concentration to the oxygen concentration; The sub-intensity value at each emission point is determined based on the first concentration ratio, the second concentration ratio, and the temperature. The temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration are defined as the data collection group. From multiple historical data groups in the historical database, the target data group that is closest to the data collection group is determined. Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion. The first spontaneous combustion degree value inside the pile at each discharge port is determined based on the sub-intensity value and the spontaneous combustion degree value of the target data group.

[0015] In another possible implementation, when the first determining module determines the target data group closest to the collected data group from multiple data groups in the historical database, it is specifically used for: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set; The deviation score for each historical data group is determined based on the difference and weight of each data point. The historical data group with the smallest deviation score is identified as the closest target data group.

[0016] In another possible implementation, the second determining module, when determining the second spontaneous combustion intensity inside the pile at each emission port based on smoke features in each frame of the image, is specifically used for: Determine the contour of the smoke features in each frame of the image, and determine the contour area of ​​the smoke features in each frame of the image. The area of ​​the emission outlet is determined from the multiple frames of images corresponding to each emission outlet, and the target ratio of the contour area of ​​the smoke feature in each frame to the area of ​​the emission outlet is determined. Calculate the average ratio of the target ratios for all frames of images; The contour similarity of smoke features between adjacent frames is calculated sequentially based on the time series of multiple frames. Determine the average similarity and variance of the total contour similarity for each emission outlet; The second spontaneous combustion intensity inside the pile at each discharge port is determined based on the average ratio, average similarity, and similarity variance.

[0017] In another possible implementation, the coal gangue pile emission gas composition analysis system further includes: The grayscale conversion module is used to perform grayscale conversion on each frame of the image from each discharge port to obtain the corresponding grayscale image for each frame. The fourth determining module is used to determine the gray value of each pixel within the contour range of the smoke feature in each grayscale image, and to determine the first average gray value of the smoke feature in each grayscale image based on the gray value of each pixel. The fifth determining module is used to calculate the average of the first grayscale values ​​in all frame images of each emission port to obtain the first target average value; The sixth determining module is used to extend upward from the emission port area of ​​each frame image to obtain a specified area above the emission port, and to determine the average second gray value of the smoke features within the specified area; The seventh determination module is used to determine the average third grayscale value of the smoke features outside the specified area from each frame image; The eighth determining module is used to calculate the average of the second grayscale values ​​in all frame images of each emission port to obtain the second target average value, and to calculate the average of the third grayscale values ​​in all frame images of each emission port to obtain the third target average value; The ninth determining module is used to determine the ratio of the second target average value to the third target average value, and to determine the correction value of the second spontaneous combustion severity of each emission outlet based on the first target average value and the ratio of the second target average value to the third target average value. The correction module is used to sum the correction value and the second spontaneous combustion severity value to obtain the corrected second spontaneous combustion severity value for each emission port.

[0018] In another possible implementation, when the third determining module determines the overall spontaneous combustion intensity of the coal gangue pile based on the first and second spontaneous combustion intensity within the pile at each discharge port, it is specifically used for: The total spontaneous combustion intensity inside the pile at each emission port is determined based on the first spontaneous combustion intensity, the second spontaneous combustion intensity, and their respective weights. The overall spontaneous combustion intensity of the coal gangue pile is obtained by averaging the total spontaneous combustion intensity inside the pile at all discharge outlets.

[0019] In another possible implementation, the coal gangue pile emission gas composition analysis system further includes: The sending module is used to send the overall spontaneous combustion intensity of the coal gangue pile to the terminal equipment of the staff.

[0020] Thirdly, this application provides an electronic device that adopts the following technical solution: An electronic device comprising: At least one processor; Memory; At least one application, wherein the application is stored in memory and configured to be executed by at least one processor, the at least one configuration being for: executing a method for analyzing the composition of emissions from a coal gangue pile as shown in any possible implementation of the first aspect.

[0021] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, when the computer program is executed in a computer, causes the computer to perform a method for analyzing the composition of emissions from a coal gangue pile as described in any of the first aspects.

[0022] In summary, this application includes at least one of the following beneficial technical effects: Acquiring multiple frames of images, temperature, oxygen concentration, and other data at each emission point facilitates subsequent analysis of the gas composition at each emission point. Data such as temperature, oxygen concentration, and carbon monoxide concentration represent the specific components, concentration levels, and temperature characteristics of the emitted gases. Analyzing these data allows for accurate determination of the initial spontaneous combustion intensity within the pile at each emission point. The multiple frames of images record the smoke characteristics formed by the emitted gases at each emission point. Therefore, identifying the smoke characteristics at each emission point from these multiple frames and analyzing them allows for accurate determination of the second spontaneous combustion intensity within the pile at each emission point. Finally, a comprehensive analysis of the initial and second spontaneous combustion intensities yields an accurate overall spontaneous combustion intensity within the coal gangue pile. In other words, a more accurate overall spontaneous combustion intensity determination is obtained by combining the analysis of the emitted gas composition and smoke characteristics. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of a method for analyzing the composition of gases emitted from a coal gangue pile, according to an embodiment of this application.

[0024] Figure 2 This is a schematic diagram of the structure of a coal gangue pile emission gas composition analysis system according to an embodiment of this application.

[0025] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0026] The present application will be further described in detail below with reference to the accompanying drawings.

[0027] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0028] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0030] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0031] This application provides a method for analyzing the composition of emissions gases from coal gangue piles. The method is executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application does not impose any limitations on this method. Figure 1 As shown, the method includes steps S101, S102, S103, and S104, wherein, S101, acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration and nitrogen oxide concentration at each discharge port on the coal gangue pile.

[0032] In this embodiment, workers can pre-place temperature sensors at each discharge port on the coal gangue pile to collect the temperature at the discharge port, which will characterize the temperature of the emitted gas. Gas sensors are placed at the discharge ports to collect the concentrations of oxygen, carbon monoxide, carbon dioxide, and nitrogen oxides, thereby collecting these concentrations at each discharge port. The temperature and gas sensors at each discharge port are connected to electronic equipment via wires, enabling the electronic equipment to acquire temperature and concentration data at each discharge port. The unit for each gas concentration is ppm.

[0033] By flying a drone over each emission point to collect multiple frames of images of the smoke generated by the emitted gas, and by capturing multiple frames of images to characterize the specific appearance of the smoke and emitted gas, it is easier to analyze the intensity of spontaneous combustion of the internal structure of each emission point.

[0034] S102 determines the first degree of spontaneous combustion intensity inside the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration.

[0035] In this embodiment, temperature characterizes the temperature of the gas discharged from each vent, thus reflecting the intensity of spontaneous combustion within the reactor core. Oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration are all key factors characterizing the intensity of spontaneous combustion within the reactor core. A lower oxygen concentration indicates a higher oxygen consumption for spontaneous combustion, and consequently, a more intense combustion. Carbon monoxide, carbon dioxide, and nitrogen oxides are gases produced by spontaneous combustion within the reactor core, and their concentrations also reflect the intensity of spontaneous combustion. Therefore, by comprehensively analyzing the above five factors, including temperature and oxygen concentration, the electronic equipment can accurately determine the initial intensity of spontaneous combustion within the reactor core at each vent.

[0036] S103, determine the smoke characteristics of each emission port in each frame of the multi-frame images, and determine the second spontaneous combustion intensity inside the pile at each emission port based on the smoke characteristics in each frame of the images.

[0037] In this embodiment, the electronic device can input multiple frames of images from each emission port into a trained network model for smoke feature recognition, thereby identifying the smoke features of each emission port in each frame of the image. The network model can be a convolutional neural network model or other types of network models. Alternatively, the electronic device can utilize the grayscale difference between the smoke and the pile background (smoke is usually high in grayscale and has blurred edges), set a grayscale threshold (such as the Otsu adaptive threshold), and initially segment the approximate range of the smoke. Then, the electronic device uses the Canny operator to detect clear edges of the pile background, determine the "pure pile background region," and uses the "pure smoke reference point" (such as the pixel with the lightest grayscale at the edge of the smoke diffusion) as a seed, grows based on grayscale similarity, and extracts smoke features without background interference. As smoke features generated by spontaneous combustion inside the pile, the smoke features can characterize the intensity of internal spontaneous combustion to a certain extent. Therefore, the electronic device can accurately determine the intensity of secondary spontaneous combustion inside the pile at each emission port by analyzing the smoke features of each emission port in each frame of the image.

[0038] S104, the overall spontaneous combustion intensity of the coal gangue pile is determined based on the first and second spontaneous combustion intensity within the pile at each discharge port.

[0039] In this embodiment, the first degree of spontaneous combustion intensity is characterized by the concentration of various gases at the emission port, and the second degree of spontaneous combustion intensity is characterized by the smoke characteristics formed by the emitted gases. After determining the first and second degrees of spontaneous combustion intensity at each emission port, the electronic equipment analyzes the first and second degrees of spontaneous combustion intensity at all emission ports. That is, the overall degree of spontaneous combustion intensity of the coal gangue pile is more accurately determined by comprehensively considering the first and second degrees of spontaneous combustion intensity at each emission port in terms of the above two aspects.

[0040] One possible implementation of this application embodiment involves determining the first degree of spontaneous combustion intensity inside the pile at each emission port in step S102 based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Specifically, this includes steps S1021 (not shown in the figure), S1022 (not shown in the figure), S1023 (not shown in the figure), S1024 (not shown in the figure), and S1025 (not shown in the figure). S1021, determine the first concentration ratio of carbon dioxide concentration to carbon monoxide concentration.

[0041] In the embodiments of this application, carbon dioxide is the product of complete spontaneous combustion of the pile body, and carbon monoxide is the product of incomplete spontaneous combustion of the pile body. The more intense the spontaneous combustion inside the pile body, the higher the concentration of carbon dioxide and the lower the concentration of carbon monoxide. Therefore, the electronic device uses the carbon dioxide concentration divided by the carbon monoxide concentration to obtain a first concentration ratio. The higher the first concentration ratio, the more intense the degree of spontaneous combustion inside the pile body.

[0042] S1022, determine the second concentration ratio of nitrogen oxide concentration to oxygen concentration.

[0043] In the embodiments of this application, the nitrogen oxides generated by spontaneous combustion of the reactor include nitrogen dioxide and other NO. x Gases. The more vigorous the spontaneous combustion reaction, the higher the concentration of nitrogen oxides (NOx) gas. As the spontaneous combustion reaction proceeds fully, oxygen consumption gradually increases; therefore, a lower oxygen concentration indicates a more vigorous spontaneous combustion reaction. Thus, electronic equipment uses a second concentration ratio, obtained by dividing the NOx concentration by the oxygen concentration. A higher second concentration ratio indicates a more vigorous degree of spontaneous combustion within the reactor core.

[0044] S1023, determine the sub-intensity value at each emission outlet based on the first concentration ratio, the second concentration ratio, and the temperature.

[0045] In this embodiment, a higher temperature of the emitted gas indicates a higher heat generation from the internal spontaneous combustion reaction, thus indicating a more intense internal spontaneous combustion reaction. In summary, the first concentration ratio, the second concentration ratio, and the temperature of the emitted gas are all key factors affecting the degree of spontaneous combustion within the pile at each emission port in terms of the emitted gas composition. Therefore, the operator assigns corresponding weights to the first concentration ratio, the second concentration ratio, and the temperature, and stores them in the electronic device. The electronic device normalizes the first concentration ratio, the second concentration ratio, and the temperature to obtain their respective normalized values. The electronic device then uses the corresponding weights to perform a weighted calculation on these normalized values ​​to obtain the sub-intensity value for each emission port.

[0046] S1024, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration and nitrogen oxide concentration are determined as the data collection group, and the target data group that is closest to the data collection group is determined from multiple historical data groups in the historical database.

[0047] Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database also corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion.

[0048] In this embodiment, the electronic device determines the collected data set for each emission port based on the temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration of the gas within each emission port. The electronic device stores multiple historical data sets related to the gases emitted from the coal gangue pile. Each historical data set includes the temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration at the emission port of the coal gangue pile. Each historical data set corresponds to the degree of spontaneous combustion within the pile under certain conditions. The multiple historical data sets in the historical database can be data from a single coal gangue pile or data from multiple different coal gangue piles.

[0049] The electronic equipment determines the target data set that is closest to the data collected from each emission outlet from the historical database. By determining the target data set that is closest to the data, the auto-ignition severity value corresponding to the target data set can be obtained. Since the data collected from the emission outlet and the target data set are sufficiently close, the auto-ignition severity value corresponding to the target data set can be used as the data for the first auto-ignition severity value for each emission outlet in this analysis.

[0050] S1025, based on the sub-intensity value and the spontaneous combustion degree value of the target data group, determine the first spontaneous combustion degree value inside the pile body at each discharge port.

[0051] In this embodiment, after the electronic device determines the sub-intensity value of the emitted gas composition and the auto-ignition degree value of the target data group with the closest data, the first auto-ignition degree value inside the pile at each emission port can be accurately determined by comprehensively analyzing the sub-intensity value and the auto-ignition degree value. The electronic device can average the sub-intensity value and the auto-ignition degree value of the target data group to obtain an average value, which is used to characterize the first auto-ignition degree value inside the pile at each emission port. Determining the first auto-ignition degree value inside the pile at each emission port using the sub-intensity value obtained from the emitted gas composition and the auto-ignition degree value of the closest historical data group is more accurate.

[0052] In one possible implementation of this application embodiment, step S1024 involves determining the target data group closest to the collected data group from multiple data groups in the historical database. Specifically, this includes steps one, two, and three. Step 1: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set.

[0053] In the embodiments of this application, the electronic device subtracts the temperature in the collected data set from the temperature in each historical data set to obtain a difference in temperature; the electronic device subtracts the oxygen concentration in the collected data set from the oxygen concentration in each historical data set to obtain a difference in oxygen concentration; the electronic device subtracts the carbon monoxide concentration in the collected data set from the carbon monoxide concentration in each historical data set to obtain a difference in carbon monoxide concentration; the electronic device subtracts the carbon dioxide concentration in the collected data set from the carbon dioxide concentration in each historical data set to obtain a difference in carbon dioxide concentration; and the electronic device subtracts the nitrogen oxide concentration in the collected data set from the nitrogen oxide concentration in each historical data set to obtain a difference in nitrogen oxide concentration.

[0054] Step 2: Determine the deviation score for each historical data group based on the difference and weight of each data point.

[0055] In this embodiment, different data have varying degrees of importance in relation to the approximation of the collected data set. For example, the order of importance is: carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, temperature, and nitrogen oxide concentration. The weights assigned to these five factors (carbon dioxide concentration, carbon monoxide concentration, etc.) by the operator can be 0.05, 0.1, 0.2, 0.25, and 0.4. Since smaller differences indicate closer data, more important data has lower weights. The smaller the difference for each data point, the closer the data is. The electronic device multiplies the difference for each data point by its corresponding weight to obtain a deviation score for each data point. Then, the electronic device sums the deviation scores for each data point in each historical data set to obtain the deviation score for each historical data set. A smaller deviation score indicates that all data are generally closer to the collected data set.

[0056] Step 3: Identify the historical data group with the smallest deviation from the score as the closest target data group.

[0057] In this embodiment of the application, the electronic device compares the deviation scores of all historical data groups to obtain the historical data group with the smallest deviation score, and then determines the target data group from the historical data group with the smallest deviation score.

[0058] One possible implementation of this application embodiment is that step S103 determines the second spontaneous combustion intensity inside the pile at each emission port based on the smoke features in each frame of the image, specifically including steps S1031 (not shown in the figure), S1032 (not shown in the figure), S1033 (not shown in the figure), S1034 (not shown in the figure), S1035 (not shown in the figure), and S1036 (not shown in the figure), wherein, S1031, determine the contour of the smoke feature in each frame image, and determine the contour area of ​​the smoke feature in each frame image.

[0059] In this embodiment of the application, the electronic device can determine the contour of the smoke feature after identifying the smoke feature in each frame of the image. The electronic device counts the number of pixels within the contour range of the smoke feature in each frame of the image, and uses the number of pixels within the contour range to represent the contour area of ​​the smoke feature in each frame of the image.

[0060] S1032, determine the area of ​​the emission port from the multiple frames of images corresponding to each emission port, and determine the target ratio of the contour area of ​​the smoke feature in each frame of the image to the area of ​​the emission port.

[0061] In this embodiment of the application, the electronic device can determine the contour of each emission port from multiple frames of images through edge detection threshold segmentation, and then obtain the area of ​​each emission port. Since the area of ​​the emission port is fixed, the larger the contour area of ​​the smoke feature, the more smoke is emitted, which in turn indicates that the spontaneous combustion inside the pile is more intense. Therefore, the electronic device divides the contour area of ​​the smoke feature in each frame of the image by the area of ​​the emission port to obtain the target ratio, with the contour area of ​​the smoke feature as the numerator and the area of ​​the emission port as the denominator. Therefore, the larger this target ratio, the more intense the spontaneous combustion inside the pile.

[0062] S1033, calculate the average ratio of the target ratios corresponding to all frame images.

[0063] In this embodiment of the application, the electronic device averages the target ratios corresponding to all frames of images from each emission port to obtain the average ratio. The average ratio is used to characterize the overall area of ​​the smoke feature within the time interval of multiple frames. The larger the average ratio, the more intense the spontaneous combustion inside the pile.

[0064] S1034, calculate the contour similarity of smoke features between adjacent frames sequentially according to the time series of multiple frames.

[0065] In the embodiments of this application, the electronic device calculates the similarity between the contours of smoke features in two adjacent frames of images in a time sequence. Specifically, the electronic device can calculate the contour similarity by methods such as Euclidean distance and cosine similarity of the smoke feature contours in two adjacent frames of images. The smaller the contour similarity, the greater the change of smoke features over time, which in turn indicates that the emission gas rate is greater and the degree of spontaneous combustion inside the pile is more intense.

[0066] S1035, determine the average similarity and variance of the similarity of all contours corresponding to each emission outlet.

[0067] In this embodiment, the electronic device averages the contour similarity of all emissions from each emission outlet to obtain an average similarity. The average similarity characterizes the intensity of smoke characteristics changing over time in a holistic time series. A larger average similarity indicates more drastic changes in smoke characteristics over time, and consequently, more intense spontaneous combustion within the pile. The electronic device calculates the variance of the total contour similarity of each emission outlet using a variance calculation formula to obtain the similarity variance. A larger similarity variance indicates greater differences between similarities, more unstable similarity changes over time, greater drastic changes in smoke characteristics over time, and more intense spontaneous combustion within the pile.

[0068] S1036, determine the second spontaneous combustion intensity inside the pile at each discharge port based on the ratio average, the similarity average, and the similarity variance.

[0069] In the embodiments of this application, the average ratio, average similarity, and similarity variance are all key factors affecting the severity of the second spontaneous combustion within the pile at each emission outlet. Therefore, the operator assigns weights to these three factors (average ratio, average similarity, and similarity variance) and stores them in the electronic device. The electronic device then normalizes these three factors to obtain their respective normalized values. Finally, the electronic device uses the corresponding weights to perform a weighted calculation on these normalized values ​​to determine the severity of the second spontaneous combustion. Determining the severity of the second spontaneous combustion more accurately by analyzing the contours of the smoke characteristics and their changes over time is also crucial.

[0070] One possible implementation of this application embodiment includes, after step S103, steps Sa (not shown in the figure), Sb (not shown in the figure), Sc (not shown in the figure), Sd (not shown in the figure), Se (not shown in the figure), Sf (not shown in the figure), Sg (not shown in the figure), and Sh (not shown in the figure), wherein, Sa, perform grayscale transformation on each frame of the image from each emission port to obtain the corresponding grayscale image for each frame.

[0071] In the embodiments of this application, the electronic device first performs denoising processing on each frame of the image of each emission port, and then performs grayscale transformation on the denoised image of each frame to obtain a grayscale image of each frame.

[0072] Sb determines the grayscale value of each pixel within the contour range of the smoke feature in each grayscale image, and determines the first average grayscale value of the smoke feature in each grayscale image based on the grayscale value of each pixel.

[0073] In this embodiment of the application, the electronic device determines the grayscale value of each pixel within the contour range of the smoke feature from the grayscale image based on the contour of the smoke feature in each frame image. Then, it calculates the average of the grayscale values ​​within the contour range of the smoke feature to obtain a first average grayscale value. The first average grayscale value characterizes the overall color depth and transparency of the smoke feature in each frame image. The larger the first average grayscale value, the less transparent the smoke is, which in turn indicates a more intense emission and a more intense degree of spontaneous combustion inside the pile.

[0074] Sc is the first target average value obtained by averaging the average of the first grayscale values ​​in all frame images of each emission port.

[0075] In the embodiments of this application, the electronic device calculates the average of the first grayscale values ​​of all frame images of each emission port to obtain the first target average value. The first target average value characterizes the color depth and transparency of the smoke features in the time series of multiple frame images. The larger the first target average value, the darker and less transparent the smoke is in the overall color within the time interval of the multiple frame images, and the more intense the spontaneous combustion inside the pile body.

[0076] Sd is a specified area above the emission port that extends upward from the emission port area of ​​each frame image, and the average second gray value of the smoke features within the specified area is determined.

[0077] In the embodiments of this application, after the electronic device identifies the emission port from each frame of image, it extends the area of ​​the emission port upward to obtain a designated area above the emission port. The designated area is the core area of ​​the emitted gas smoke. The electronic device determines the average value of the second grayscale value of the smoke feature in the designated area in each frame of image.

[0078] Se is the average third grayscale value of the smoke features outside the specified area from each frame of the image.

[0079] In the embodiments of this application, the smoke features outside the designated area are the smoke features far from the core emission area, and the electronic device determines the average third gray value of the smoke features outside the designated area in each frame of the image.

[0080] Sf, the average of the second grayscale values ​​in all frame images of each emission port is used to obtain the second target average value, and the average of the third grayscale values ​​in all frame images of each emission port is used to obtain the third target average value.

[0081] In this embodiment of the application, the electronic device calculates the average of the second grayscale values ​​in all frames of images from each emission port to obtain a second target average value. The second target average value represents the color depth and transparency of the smoke features in the core region above the emission port within the time interval of multiple frames. The larger the second target average value, the greater the color depth and the less transparent the smoke in the core region within the time interval of multiple frames, and the more intense the spontaneous combustion inside the pile. Similarly, the electronic device determines a third target average value, which represents the color depth and transparency of the smoke features in the non-core region above the emission port within the time interval of multiple frames.

[0082] Sg determines the ratio of the second target average value to the third target average value, and determines the correction value for the second spontaneous combustion severity of each emission outlet based on the first target average value and the ratio of the second target average value to the third target average value.

[0083] In the embodiments of this application, the electronic device obtains a ratio by dividing the second target average value by the third target average value, with the second target average value as the numerator and the third target average value as the denominator. The larger the ratio, the darker and less transparent the smoke in the core area above the emission port is, and the greater the difference in color and transparency between the smoke in the core area and the smoke in the non-core area. This indicates that the emission intensity in the core area above the emission port is more severe, and the spontaneous combustion intensity inside the pile is more severe.

[0084] In summary, the average value of the first target and the ratio of the average value of the second target to the average value of the third target are key factors in correcting the severity of the second spontaneous combustion. Therefore, the staff set corresponding weights for the average value of the first target and the above ratio and stored them in the electronic device. The electronic device normalizes the average value of the first target and the above ratio to obtain normalized values. The electronic device calls the corresponding weights to perform weighted calculations on the normalized values ​​to obtain the correction value.

[0085] Sh, summing the correction value and the second spontaneous combustion severity value, yields the corrected second spontaneous combustion severity value for each emission outlet.

[0086] In the embodiments of this application, after the electronic device determines the correction value corresponding to each emission port, the second spontaneous combustion severity of each emission port and the correction value are summed to obtain a more accurate second spontaneous combustion severity value, that is, the corrected second spontaneous combustion severity value.

[0087] One possible implementation of this application embodiment is that, in step S104, the overall spontaneous combustion intensity of the coal gangue pile is determined based on the first and second spontaneous combustion intensity within the pile at each discharge port. Specifically, this includes steps S1041 (not shown in the figure) and S1042 (not shown in the figure), wherein... S1041, the total spontaneous combustion intensity inside the pile at each discharge port is determined based on the first spontaneous combustion intensity, the second spontaneous combustion intensity, and their respective weights.

[0088] S1042, the overall spontaneous combustion intensity of the coal gangue pile is obtained by averaging the total spontaneous combustion intensity inside the pile at all discharge outlets.

[0089] In this embodiment, the operator assigns weights to the first and second spontaneous combustion intensities of each discharge point and stores them in an electronic device. The electronic device normalizes the first and second spontaneous combustion intensities of each discharge point to obtain normalized values. The electronic device then uses the corresponding weights to perform a weighted calculation on the normalized values ​​to obtain the total spontaneous combustion anomaly level within the pile at each discharge point. Finally, the electronic device averages the total spontaneous combustion intensities of all discharge points to obtain the overall spontaneous combustion intensity level of the coal gangue pile.

[0090] In one possible implementation of this application embodiment, step S105 (not shown in the figure) is included after step S104, wherein... S105 sends the overall intensity of spontaneous combustion of the coal gangue pile to the terminal equipment of the staff.

[0091] In this embodiment, the electronic device stores the communication methods of the worker's terminal device, such as mobile phone number and MAC address. The terminal device can be a mobile phone, computer, host computer, etc. After determining the overall spontaneous combustion intensity of the coal gangue pile, the electronic device can send a text message to the worker's mobile phone stating "The overall spontaneous combustion intensity of the coal gangue pile is xxx" via SMS, or push the overall spontaneous combustion intensity of the coal gangue pile to the terminal device via an APP or other software. This allows workers to more promptly and intuitively understand the intensity of spontaneous combustion within the coal gangue pile.

[0092] The above embodiments describe a method for analyzing the composition of gases emitted from coal gangue piles from the perspective of process flow. The following embodiments describe a coal gangue pile emission gas composition analysis system 20 from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0093] This application provides a coal gangue pile emission gas composition analysis system 20, such as... Figure 2As shown, a coal gangue pile emission gas composition analysis system 20 may specifically include: The data acquisition module 201 is used to acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration and nitrogen oxide concentration at each discharge port on the coal gangue pile. The first determining module 202 is used to determine the first spontaneous combustion intensity inside the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration and nitrogen oxide concentration. The second determining module 203 is used to identify the smoke features of each emission port in each frame of the multi-frame images, and to determine the second spontaneous combustion intensity inside the pile at each emission port based on the smoke features in each frame of the images. The third determining module 204 is used to determine the overall spontaneous combustion intensity of the coal gangue pile based on the first spontaneous combustion intensity and the second spontaneous combustion intensity inside the pile at each discharge port.

[0094] This application discloses a coal gangue pile emission gas composition analysis system 20. The data acquisition module 201 acquires multiple frames of images, temperature, oxygen concentration, and other data at each emission port to facilitate subsequent analysis of the gas composition at each emission port. Temperature, oxygen concentration, and carbon monoxide concentration are specific components, concentrations, and temperature characteristics of the emitted gas. The first determination module 202 analyzes the temperature, oxygen concentration, and carbon monoxide concentration data to accurately determine the first degree of spontaneous combustion within the pile at each emission port. The multiple frames of images record the smoke characteristics formed by the emitted gas at each emission port. Therefore, the second determination module 203 identifies the smoke characteristics at each emission port from the multiple frames of images and analyzes these characteristics to accurately determine the second degree of spontaneous combustion within the pile at each emission port. Finally, the third determination module 204 comprehensively analyzes the first and second degrees of spontaneous combustion to obtain an accurate overall degree of spontaneous combustion within the coal gangue pile. In other words, a more accurate overall degree of spontaneous combustion within the pile is obtained by combining the analysis of the emission gas composition and the smoke analysis.

[0095] In one possible implementation of this application embodiment, when the first determining module 202 determines the first spontaneous combustion intensity inside the pile at each emission port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration, it is specifically used for: Determine the first concentration ratio of carbon dioxide to carbon monoxide; Determine the second concentration ratio of nitrogen oxides to oxygen; The sub-intensity value at each emission point is determined based on the first concentration ratio, the second concentration ratio, and the temperature. Temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration were defined as the data collection group. The target data group that is closest to the data collection group was determined from multiple historical data groups in the historical database. Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion. The first spontaneous combustion degree value inside the reactor body at each discharge port is determined based on the sub-intensity value and the spontaneous combustion degree value of the target data group.

[0096] In one possible implementation of this application embodiment, when the first determining module 202 determines the target data group closest to the collected data group from multiple data groups in the historical database, it is specifically used for: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set; The deviation score for each historical data group is determined based on the difference and weight of each data point. The historical data set with the smallest deviation score is identified as the closest target data set.

[0097] In one possible implementation of this application embodiment, when the second determining module 203 determines the second spontaneous combustion intensity inside the pile at each emission port based on the smoke features in each frame of the image, it is specifically used for: Determine the contour of the smoke features in each frame of the image, and determine the contour area of ​​the smoke features in each frame of the image. The area of ​​the emission outlet is determined from the multiple frames of images corresponding to each emission outlet, and the target ratio of the contour area of ​​the smoke feature in each frame to the area of ​​the emission outlet is determined. Calculate the average ratio of the target ratios for all frames of images; The contour similarity of smoke features between adjacent frames is calculated sequentially based on the time series of multiple frames. Determine the average similarity and variance of the total contour similarity for each emission outlet; The second spontaneous combustion intensity inside the pile at each discharge port was determined based on the ratio average, the similarity average, and the similarity variance.

[0098] In one possible implementation of this application, a coal gangue pile emission gas composition analysis system 20 further includes: The grayscale conversion module is used to perform grayscale conversion on each frame of the image from each discharge port to obtain the corresponding grayscale image for each frame. The fourth determining module is used to determine the gray value of each pixel within the contour range of the smoke feature in each grayscale image, and to determine the first average gray value of the smoke feature in each grayscale image based on the gray value of each pixel. The fifth determining module is used to calculate the average of the first grayscale values ​​in all frame images of each emission port to obtain the first target average value; The sixth determining module is used to extend upward from the emission port area of ​​each frame image to obtain a specified area above the emission port, and to determine the average second gray value of the smoke features within the specified area; The seventh determination module is used to determine the average third grayscale value of the smoke features outside the specified area from each frame image; The eighth determining module is used to calculate the average of the second grayscale values ​​in all frame images of each emission port to obtain the second target average value, and to calculate the average of the third grayscale values ​​in all frame images of each emission port to obtain the third target average value; The ninth determining module is used to determine the ratio of the second target average value to the third target average value, and to determine the correction value of the second spontaneous combustion severity of each emission outlet based on the first target average value and the ratio of the second target average value to the third target average value. The correction module is used to sum the correction value and the second spontaneous combustion severity value to obtain the corrected second spontaneous combustion severity value for each emission port.

[0099] One possible implementation of this application embodiment is that the third determining module 204 determines the overall spontaneous combustion intensity of the coal gangue pile based on the first spontaneous combustion intensity and the second spontaneous combustion intensity inside the pile at each discharge port, including: The total spontaneous combustion intensity inside the pile at each discharge port is determined based on the first spontaneous combustion intensity, the second spontaneous combustion intensity, and their respective weights. The overall spontaneous combustion intensity of the coal gangue pile is obtained by averaging the total spontaneous combustion intensity inside the pile at all discharge outlets.

[0100] In one possible implementation of this application, a coal gangue pile emission gas composition analysis system 20 further includes: The sending module is used to transmit the overall intensity of spontaneous combustion of the coal gangue pile to the terminal equipment of the staff.

[0101] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the coal gangue pile emission gas composition analysis system 20 described above can be referred to the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0102] This application provides an electronic device, such as... Figure 3 As shown, Figure 3 The illustrated electronic device 30 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 30 does not constitute a limitation on the embodiments of this application.

[0103] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0104] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0105] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0106] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0107] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0108] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments. Compared with related technologies, the acquisition of multi-frame images, temperature, oxygen concentration, and other data at each emission port in this application facilitates subsequent analysis of the gas composition at each emission port. Temperature, oxygen concentration, carbon monoxide concentration, and other data represent the specific components, concentration levels, and temperature characteristics of the emitted gas. Analysis based on these data allows for accurate analysis of the first degree of spontaneous combustion within the pile at each emission port. The multi-frame images record the smoke characteristics formed by the emitted gas at each emission port. Therefore, identifying the smoke characteristics at each emission port from the multi-frame images and analyzing these characteristics allows for accurate determination of the second degree of spontaneous combustion within the pile at each emission port. Finally, a comprehensive analysis of the first and second degrees of spontaneous combustion yields an accurate overall degree of spontaneous combustion within the coal gangue pile. In other words, a more accurate overall degree of spontaneous combustion within the pile is obtained by combining the analysis of the emitted gas composition and smoke characteristics.

[0109] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0110] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for analyzing the composition of gases emitted from a coal gangue pile, characterized in that, include: Acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration at each discharge port on the coal gangue pile; The initial spontaneous combustion intensity inside the pile at each discharge port was determined based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. The smoke features at each emission point in each frame of the image were determined from multiple frames, and the second spontaneous combustion intensity inside the pile at each emission point was determined based on the smoke features in each frame of the image. The overall spontaneous combustion intensity of the coal gangue pile is determined based on the first and second spontaneous combustion intensity within the pile at each discharge outlet.

2. The method for analyzing the composition of gases emitted from a coal gangue pile according to claim 1, characterized in that, The determination of the first spontaneous combustion intensity within the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration includes: Determine a first concentration ratio of the carbon dioxide concentration to the carbon monoxide concentration; Determine a second concentration ratio of the nitrogen oxide concentration to the oxygen concentration; The sub-intensity value at each emission point is determined based on the first concentration ratio, the second concentration ratio, and the temperature. The temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration are defined as the data collection group. From multiple historical data groups in the historical database, the target data group that is closest to the data collection group is determined. Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion. The first spontaneous combustion degree value inside the pile at each discharge port is determined based on the sub-intensity value and the spontaneous combustion degree value of the target data group.

3. The method for analyzing the composition of gases emitted from a coal gangue pile according to claim 2, characterized in that, The step of determining the target data group that is closest to the collected data group from multiple data groups in the historical database includes: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set; The deviation score for each historical data group is determined based on the difference and weight of each data point. The historical data group with the smallest deviation score is identified as the closest target data group.

4. The method for analyzing the composition of gases emitted from a coal gangue pile according to claim 1, characterized in that, The determination of the second spontaneous combustion intensity inside the pile at each emission port based on smoke features in each frame of the image includes: Determine the contour of the smoke features in each frame of the image, and determine the contour area of ​​the smoke features in each frame of the image. The area of ​​the emission outlet is determined from the multiple frames of images corresponding to each emission outlet, and the target ratio of the contour area of ​​the smoke feature in each frame to the area of ​​the emission outlet is determined. Calculate the average ratio of the target ratios for all frames of images; The contour similarity of smoke features between adjacent frames is calculated sequentially based on the time series of multiple frames. Determine the average similarity and variance of the total contour similarity for each emission outlet; The second spontaneous combustion intensity inside the pile at each discharge port is determined based on the average ratio, average similarity, and similarity variance.

5. A method for analyzing the composition of gases emitted from a coal gangue pile according to claim 1 or 4, characterized in that, The method further includes: Perform grayscale transformation on each frame of the image from each emission outlet to obtain the corresponding grayscale image for each frame; Determine the gray value of each pixel within the contour range of the smoke feature in each grayscale image, and determine the first average gray value of the smoke feature in each grayscale image based on the gray value of each pixel; The first target average value is obtained by averaging the average of the first grayscale values ​​in all frames of images for each emission outlet. The specified area above the emission port is obtained by extending upward from the emission port area of ​​each frame image, and the average value of the second grayscale value of the smoke feature within the specified area is determined. The average third grayscale value of the smoke features outside the specified area is determined from each frame of the image; The second target average value is obtained by averaging the average of the second gray values ​​in all frame images of each emission port, and the third target average value is obtained by averaging the average of the third gray values ​​in all frame images of each emission port. Determine the ratio of the second target average value to the third target average value, and determine the correction value for the second spontaneous combustion severity of each emission outlet based on the first target average value and the ratio of the second target average value to the third target average value. The corrected second spontaneous combustion severity value for each emission outlet is obtained by summing the corrected value and the second spontaneous combustion severity value.

6. The method for analyzing the composition of gases emitted from a coal gangue pile according to claim 1, characterized in that, The determination of the overall spontaneous combustion intensity of the coal gangue pile based on the first and second spontaneous combustion intensity within the pile at each discharge outlet includes: The total spontaneous combustion intensity inside the pile at each emission port is determined based on the first spontaneous combustion intensity, the second spontaneous combustion intensity, and their respective weights. The overall spontaneous combustion intensity of the coal gangue pile is obtained by averaging the total spontaneous combustion intensity inside the pile at all discharge outlets.

7. The method for analyzing the composition of gases emitted from a coal gangue pile according to claim 1, characterized in that, The method further includes: The overall intensity of spontaneous combustion of the coal gangue pile is sent to the terminal equipment of the staff.

8. A system for analyzing the composition of gases emitted from a coal gangue pile, characterized in that, include: The data acquisition module is used to acquire multiple frames of images, temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration at each discharge port on the coal gangue pile. The first determining module is used to determine the first spontaneous combustion intensity inside the pile at each discharge port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. The second determining module is used to identify the smoke features of each emission port in each frame of the multi-frame images, and to determine the second spontaneous combustion intensity inside the pile at each emission port based on the smoke features in each frame of the images. The third determining module is used to determine the overall spontaneous combustion intensity of the coal gangue pile based on the first spontaneous combustion intensity and the second spontaneous combustion intensity inside the pile at each discharge port.

9. A coal gangue pile emission gas composition analysis system according to claim 8, characterized in that, The first determining module, when determining the first spontaneous combustion intensity inside the pile at each emission port based on temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration, is specifically used for: Determine a first concentration ratio of the carbon dioxide concentration to the carbon monoxide concentration; Determine a second concentration ratio of the nitrogen oxide concentration to the oxygen concentration; The sub-intensity value at each emission point is determined based on the first concentration ratio, the second concentration ratio, and the temperature. The temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration are defined as the data collection group. From multiple historical data groups in the historical database, the target data group that is closest to the data collection group is determined. Each historical data group in the historical database includes temperature, oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, and nitrogen oxide concentration. Each historical data group in the historical database corresponds to a spontaneous combustion degree value that characterizes the intensity of internal spontaneous combustion. The first spontaneous combustion degree value inside the pile at each discharge port is determined based on the sub-intensity value and the spontaneous combustion degree value of the target data group.

10. A coal gangue pile emission gas composition analysis system according to claim 9, characterized in that, When the first determining module identifies the target data group that is closest to the collected data group from multiple data groups in the historical database, it is specifically used for: Calculate the difference between each data point in the collected data set and the corresponding data point in each historical data set; The deviation score for each historical data group is determined based on the difference and weight of each data point. The historical data group with the smallest deviation score is identified as the closest target data group.

Images