Open fire coal temperature real-time detection system

Abstract

The invention relates to the technical field of temperature detection, and discloses an open fire coal temperature real-time detection system, which is characterized in that an image determination module performs gray conversion on an open fire coal surface image to obtain an open fire coal surface gray image; the image processing module divides the open fire coal surface gray level image into a plurality of sub-surface gray level image areas, gray level pixel values on the sub-surface gray level image areas are extracted, and temperature factors of the sub-surface gray level image areas are determined; the temperature calculation module analyzes the temperature factors of the sub-surface gray level image areas and calculates comprehensive surface temperature factors; the spraying fire extinguishing module judges whether the surface temperature of the open fire coal meets safety conditions or not according to the comprehensive surface temperature factors, if not, a spraying fire extinguishing device is started, the detection efficiency and accuracy of the temperature of the open fire coal are remarkably improved, dependence of manual inspection is reduced, rapid response and fire extinguishing can be conducted at the initial stage of a fire, and fire spreading is effectively restrained; production safety is guaranteed, and fire risks are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature detection, and more particularly, to a real-time temperature detection system for open-fire coal. Background Art

[0002] With the continuous growth of industrial production and energy demand, coal, as an important energy resource, has the risk of spontaneous combustion during the processes of mining, transportation, storage, and use. Especially in places such as open-pit coal mines, due to the long-term exposure of coal to the air, it undergoes an oxidation reaction with oxygen and releases heat. When the heat accumulates to a certain extent, it is extremely easy to trigger the spontaneous combustion of coal, forming open-fire coal.

[0003] Currently, the following problems mainly exist in the monitoring and extinguishing of open-fire coal: Traditional monitoring methods often rely on manual inspections, which are not only inefficient but also difficult to detect the existence of open-fire coal in real time and accurately. Most of the existing automatic monitoring systems can only monitor the temperature of the coal yard in real time, but cannot directly detect the temperature of open-fire coal, resulting in inaccurate monitoring results. In addition, although some monitoring systems can detect abnormal temperatures of open-fire coal, they lack effective fire extinguishing measures or the fire extinguishing measures are not timely enough to extinguish the fire in the initial stage of the fire, thus posing a serious threat to production safety. Summary of the Invention

[0004] An embodiment of the present invention provides a real-time temperature detection system for open-fire coal, which can significantly improve the monitoring efficiency and accuracy of the temperature of open-fire coal, realize real-time and accurate detection of the temperature of open-fire coal, reduce the dependence on manual inspections, and at the same time, can quickly respond and implement fire extinguishing in the initial stage of the fire, effectively contain the spread of the fire, ensure production safety, and reduce the fire risk.

[0005] To achieve the above object, the present invention provides a real-time temperature detection system for open-fire coal, including: An image determination module, configured to collect an image of the surface of open-fire coal to obtain an open-fire coal surface image, and perform gray-scale conversion on the open-fire coal surface image to obtain an open-fire coal surface gray-scale image; An image processing module, configured to divide the open-fire coal surface gray-scale image into multiple sub-surface gray-scale image regions, extract the gray-scale pixel values on the sub-surface gray-scale image regions respectively, and determine the temperature factors of the multiple sub-surface gray-scale image regions; A temperature calculation module, configured to analyze all the temperature factors of the sub-surface gray-scale image regions and calculate the comprehensive surface temperature factor of the open-fire coal based on the analysis results; A spray fire extinguishing module, configured to determine whether the surface temperature of the open-fire coal meets the safety condition according to the relationship between the comprehensive surface temperature factor and the comprehensive surface temperature factor threshold. If not, the spray fire extinguishing device is turned on.

[0006] Further, the image determination module is configured to: The image determination module is configured to analyze the surface image of the burning coal, and determine the pixel information of the red, green, and blue color channels corresponding to the surface image of the burning coal; The image determination module is configured to perform weighted operations on the pixel values of the red, green, and blue color channels of the surface image of the burning coal respectively according to preset weighting coefficients, to obtain the weighted sum corresponding to each pixel, wherein the weighting coefficients satisfy: red weighting coefficient × maximum pixel value of the red channel + green weighting coefficient × maximum pixel value of the green channel + blue weighting coefficient × maximum pixel value of the blue channel = 1; The image determination module is configured to convert the obtained weighted sum into the corresponding gray value according to the preset gray mapping rule, so as to obtain the gray-scale image of the surface of the burning coal.

[0007] Further, the image processing module is configured to: The image processing module is configured to determine a gray pixel value sequence according to all the gray pixel values, and perform curve fitting on the gray pixel value sequence to obtain a gray pixel value curve; The image processing module is configured to determine the upper mutation gray pixel values on the gray pixel value curve, mark all the upper mutation gray pixel values, and determine the remaining gray pixel value sequence for the remaining gray pixel values on the gray pixel value curve; The image processing module is configured to obtain an upper mutation gray pixel value sequence according to each upper mutation gray pixel value and the q gray pixel values on the left and right; The image processing module is configured to calculate the absolute value of the difference between the upper mutation gray pixel value and the maximum gray pixel value on the gray pixel value curve, and use it as the gray pixel value extreme difference value of the upper mutation gray pixel value; The image processing module is configured to calculate the first mean value of all the gray pixel values in the gray pixel value sequence, calculate the second mean value of all the gray pixel values in the remaining gray pixel value sequence, and calculate the absolute value of the difference between the first mean value and the second mean value, and use it as the inter-sequence pixel value difference value; The image processing module is configured to calculate the third mean value of all the gray pixel values in the upper mutation gray pixel value sequence, and calculate the absolute value of the difference between the upper mutation gray pixel value and the third mean value, and use it as the pixel value mutation difference value of the upper mutation gray pixel value; The image processing module is configured to calculate the sub-surface gray image region temperature factor according to the gray pixel value extreme difference value, the pixel value mutation difference value, and the inter-sequence pixel value difference value.

[0008] Further, the image processing module is configured to: The image processing module is used to configure a first calculation coefficient for the extreme difference value of the grayscale pixel values, configure a second calculation coefficient for the sudden change difference value of the pixel values, and configure a third calculation coefficient for the pixel value difference value between sequences; The image processing module is used to calculate the temperature factor of the subsurface grayscale image region according to the following formula: ; where a is the temperature factor of the subsurface grayscale image region, z1 is the first calculation coefficient, z2 is the second calculation coefficient, z3 is the third calculation coefficient, w1 is the extreme difference value of the grayscale pixel values, w2 is the sudden change difference value of the pixel values, and w3 is the pixel value difference value between sequences.

[0009] Furthermore, the temperature calculation module is used for: The temperature calculation module is used to construct a temperature factor curve of the subsurface grayscale image region based on all the temperature factors of the subsurface grayscale image regions; The temperature calculation module is used to determine the first temperature factor and the second temperature factor of the subsurface grayscale image region on the temperature factor curve of the subsurface grayscale image region, and bind the first temperature factor and the second temperature factor of the subsurface grayscale image region; The temperature calculation module is used to determine the first curve slope corresponding to the first temperature factor of the subsurface grayscale image region; The temperature calculation module is used to determine the second curve slope corresponding to the second temperature factor of the subsurface grayscale image region; The temperature calculation module is used to calculate the curve slope difference value between the first curve slope and the second curve slope; The temperature calculation module is used to determine the third temperature factor and the fourth temperature factor of the subsurface grayscale image region on the temperature factor curve of the subsurface grayscale image region, and bind the third temperature factor and the fourth temperature factor of the subsurface grayscale image region; The temperature calculation module is used to determine the third curve slope corresponding to the third temperature factor of the subsurface grayscale image region; The temperature calculation module is used to determine the fourth curve slope corresponding to the fourth temperature factor of the subsurface grayscale image region; The temperature calculation module is used to calculate the curve slope difference value between the third curve slope and the fourth curve slope; The temperature calculation module is used to repeat the above steps to determine multiple curve slope difference values; The temperature calculation module is used to calculate the comprehensive surface temperature factor of the burning coal based on all the curve slope difference values.

[0010] Further, the temperature calculation module is configured to: The temperature calculation module is configured to extract the same curve slope difference values from all the curve slope difference values and construct a set of curve slope difference values; The temperature calculation module is configured to count the number of curve slope difference values in the set of curve slope difference values; The temperature calculation module is configured to extract one curve slope difference value from each set of curve slope difference values and calculate the sum value of the curve slope difference values; The temperature calculation module is configured to calculate the variance of the curve slope difference values corresponding to all the curve slope difference values, delete the sets of curve slope difference values that are less than the variance of the curve slope difference values, and count the number of second curve slope difference values in the remaining sets of curve slope difference values; The temperature calculation module is configured to extract one curve slope difference value from the remaining sets of curve slope difference values respectively and calculate the sum value of the second curve slope difference values; The temperature calculation module is configured to calculate the comprehensive surface temperature factor of the burning coal based on the number of curve slope difference values, the sum value of the curve slope difference values, the number of second curve slope difference values, and the sum value of the second curve slope difference values.

[0011] Further, the temperature calculation module is configured to: The temperature calculation module is configured to calculate the comprehensive surface temperature factor of the burning coal according to the following formula: ; where e is the comprehensive surface temperature factor of the burning coal, d1 is the number of curve slope difference values, d2 is the number of second curve slope difference values, r1 is the sum value of the curve slope difference values, and r2 is the sum value of the second curve slope difference values.

[0012] Further, the spray fire extinguishing module is configured to: The spray fire extinguishing module is configured to determine that the surface temperature of the burning coal meets the safety condition when the comprehensive surface temperature factor is less than the comprehensive surface temperature factor threshold; The spray fire extinguishing module is configured to determine that the surface temperature of the burning coal does not meet the safety condition when the comprehensive surface temperature factor is greater than or equal to the comprehensive surface temperature factor threshold.

[0013] Further, the spray fire extinguishing module is configured to: The spray fire extinguishing module is configured to obtain a pre-set factor-strategy mapping table, traverse the comprehensive surface temperature factor on the factor-strategy mapping table, and determine the activation strategy corresponding to the comprehensive surface temperature factor; The spray fire extinguishing module is used to activate the spray fire extinguishing device based on the activation strategy.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses a real-time detection system for the temperature of burning coal. The image determination module performs grayscale conversion on the surface image of the burning coal to obtain the grayscale surface image of the burning coal. The image processing module divides the grayscale surface image of the burning coal into multiple sub-surface grayscale image regions, extracts the grayscale pixel values on the sub-surface grayscale image regions respectively, and determines the temperature factors of the multiple sub-surface grayscale image regions. The temperature calculation module analyzes the temperature factors of the sub-surface grayscale image regions and calculates the comprehensive surface temperature factor. The spray fire extinguishing module determines whether the surface temperature of the burning coal meets the safety conditions according to the comprehensive surface temperature factor. If not, it activates the spray fire extinguishing device, significantly improving the detection efficiency and accuracy of the temperature of the burning coal, reducing the dependence on manual inspections, being able to quickly respond and implement fire extinguishing in the initial stage of a fire, effectively curbing the spread of the fire, ensuring production safety, and reducing the fire risk. Description of the Drawings

[0015] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 The structural schematic diagram of a real-time detection system for the temperature of burning coal in an embodiment of the present invention is shown. Detailed Embodiments

[0016] The following combines the drawings and embodiments to further describe in detail the specific embodiments of the present invention. The following embodiments are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application.

[0018] The terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0019] In the description of this application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The following is a description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0021] As Figure 1 shown, an embodiment of the present invention discloses a real-time detection system for the temperature of open-flame coal, including: An image determination module, configured to collect an image of the surface of the open-flame coal to obtain an image of the surface of the open-flame coal, and perform gray-scale conversion on the image of the surface of the open-flame coal to obtain a gray-scale image of the surface of the open-flame coal; An image processing module, configured to divide the gray-scale image of the surface of the open-flame coal into a plurality of sub-surface gray-scale image regions, extract the gray-scale pixel values on the sub-surface gray-scale image regions respectively, and determine the temperature factors of the plurality of sub-surface gray-scale image regions; A temperature calculation module, configured to analyze the temperature factors of all the sub-surface gray-scale image regions, and calculate the comprehensive surface temperature factor of the open-flame coal based on the analysis results; A spray fire extinguishing module, configured to determine whether the surface temperature of the open-flame coal meets the safety conditions according to the relationship between the comprehensive surface temperature factor and the threshold value of the comprehensive surface temperature factor. If not, the spray fire extinguishing device is activated.

[0022] The beneficial effects of the above technical solutions are: The present invention significantly improves the detection efficiency and accuracy of the temperature of open-flame coal, reduces the dependence on manual inspections, can quickly respond and implement fire extinguishing in the initial stage of a fire, effectively contain the spread of the fire, ensure production safety, and reduce the fire risk.

[0023] In some embodiments of this application, the image determination module is configured to: The image determination module is configured to analyze the image of the surface of the open-flame coal to determine the pixel information of the red, green, and blue color channels corresponding to the image of the surface of the open-flame coal; The image determination module is configured to perform weighted operations on the pixel values of the red, green, and blue color channels of the surface image of the burning coal respectively according to preset weighted coefficients, so as to obtain the weighted sum corresponding to each pixel, where the weighted coefficients satisfy: red weighted coefficient × maximum pixel value of the red channel + green weighted coefficient × maximum pixel value of the green channel + blue weighted coefficient × maximum pixel value of the blue channel = 1; The image determination module is configured to convert the obtained weighted sum into a corresponding gray value according to a preset gray mapping rule, so as to obtain the gray-scale image of the surface of the burning coal.

[0024] The beneficial effects of the above technical solution are as follows: Through weighted operations and gray mapping, the present invention can accurately analyze the pixel information of the red, green, and blue color channels of the surface image of the burning coal, and generate a corresponding gray-scale image. This method can effectively extract the key features on the surface of the burning coal, enhance the image contrast, facilitate subsequent analysis and processing, improve the detection accuracy and efficiency, and provide reliable technical support for the monitoring and management of the burning coal.

[0025] In some embodiments of the present application, the image processing module is configured to: The image processing module is configured to determine a sequence of gray pixel values according to all the gray pixel values, perform curve fitting on the sequence of gray pixel values, and obtain a gray pixel value curve; The image processing module is configured to determine the upper mutation gray pixel values on the gray pixel value curve, mark all the upper mutation gray pixel values, and determine the remaining gray pixel value sequence of the gray pixel value curve; The image processing module is configured to obtain a sequence of upper mutation gray pixel values according to each upper mutation gray pixel value and q gray pixel values on the left and right; The image processing module is configured to calculate the absolute value of the difference between the upper mutation gray pixel value and the maximum gray pixel value on the gray pixel value curve, and use it as the gray pixel value extreme difference value of the upper mutation gray pixel value; The image processing module is configured to calculate the first mean value of all the gray pixel values in the sequence of gray pixel values, calculate the second mean value of all the gray pixel values in the remaining gray pixel value sequence, and calculate the absolute value of the difference between the first mean value and the second mean value, and use it as the inter-sequence pixel value difference value; The image processing module is configured to calculate the third mean value of all the gray pixel values in the sequence of upper mutation gray pixel values, and calculate the absolute value of the difference between the upper mutation gray pixel value and the third mean value, and use it as the pixel value mutation difference value of the upper mutation gray pixel value; The image processing module is used to calculate the temperature factor of the subsurface gray image region according to the extreme difference value of the gray pixel values, the mutation difference value of the pixel values, and the pixel value difference value between sequences.

[0026] In this embodiment, the upper mutation gray pixel value is explained by way of example. For example, given a set of data: 1, 5, 8, 9, 15, 17, 16, 15, 14, 8, 12, here 17 is the upper mutation gray pixel value showing an upward trend, and here 8 is the upper mutation gray pixel value showing a downward trend.

[0027] In this embodiment, q is preferably 4, that is, the 4 gray pixel values corresponding to the left and right sides.

[0028] The beneficial effects of the above technical solution are as follows: The present invention calculates the temperature factor of the subsurface gray image region according to the extreme difference value of the gray pixel values, the mutation difference value of the pixel values, and the pixel value difference value between sequences, which can ensure the calculation accuracy of the temperature factor of the subsurface gray image region.

[0029] In some embodiments of the present application, the image processing module is used for: The image processing module is used to configure a first calculation coefficient for the extreme difference value of the gray pixel values, a second calculation coefficient for the mutation difference value of the pixel values, and a third calculation coefficient for the pixel value difference value between sequences; The image processing module is used to calculate the temperature factor of the subsurface gray image region according to the following formula: ; Where a is the temperature factor of the subsurface gray image region, z1 is the first calculation coefficient, z2 is the second calculation coefficient, z3 is the third calculation coefficient, w1 is the extreme difference value of the gray pixel values, w2 is the mutation difference value of the pixel values, and w3 is the pixel value difference value between sequences.

[0030] In this embodiment, the first calculation coefficient is preferably 0.7, the second calculation coefficient is preferably 0.5, and the third calculation coefficient is preferably 0.3.

[0031] In some embodiments of the present application, the temperature calculation module is used for: The temperature calculation module is used to construct a temperature factor curve of the subsurface gray image region according to all the temperature factors of the subsurface gray image region; The temperature calculation module is used to determine the first temperature factor and the second temperature factor of the subsurface gray image region on the temperature factor curve of the subsurface gray image region, and bind the first temperature factor and the second temperature factor of the subsurface gray image region; The temperature calculation module is used to determine the first curve slope corresponding to the temperature factor of the first sub-surface gray-scale image area; The temperature calculation module is used to determine the second curve slope corresponding to the temperature factor of the second sub-surface gray-scale image area; The temperature calculation module is used to calculate the curve slope difference value between the first curve slope and the second curve slope; The temperature calculation module is used to determine the third sub-surface gray-scale image area temperature factor and the fourth sub-surface gray-scale image area temperature factor on the curve of the sub-surface gray-scale image area temperature factor, and bind the third sub-surface gray-scale image area temperature factor and the fourth sub-surface gray-scale image area temperature factor; The temperature calculation module is used to determine the third curve slope corresponding to the third sub-surface gray-scale image area temperature factor; The temperature calculation module is used to determine the fourth curve slope corresponding to the fourth sub-surface gray-scale image area temperature factor; The temperature calculation module is used to calculate the curve slope difference value between the third curve slope and the fourth curve slope; The temperature calculation module is used to repeat the above steps to determine multiple curve slope difference values; The temperature calculation module is used to calculate the comprehensive surface temperature factor of the burning coal based on all the curve slope difference values.

[0032] In this embodiment, through the above steps, multiple curve slope difference values can be obtained.

[0033] The beneficial effect of the above technical solution is that the present invention calculates the comprehensive surface temperature factor of the burning coal based on all the curve slope difference values, ensuring the calculation accuracy of the comprehensive surface temperature factor and providing a basis for subsequent detection and fire extinguishing.

[0034] In some embodiments of the present application, the temperature calculation module is used for: The temperature calculation module is used to extract the same curve slope difference values from all the curve slope difference values to construct a curve slope difference value set; The temperature calculation module is used to count the number of curve slope difference values in the curve slope difference value set; The temperature calculation module is used to extract one curve slope difference value from each curve slope difference value set and calculate the sum of the curve slope difference values; The temperature calculation module is used to calculate the variance of the curve slope difference values corresponding to all the curve slope difference values, delete all the curve slope difference value sets smaller than the variance of the curve slope difference values, and count the number of the second curve slope difference values in the remaining curve slope difference value sets; The temperature calculation module is used to respectively extract a curve slope difference value from the remaining set of curve slope difference values, and calculate the sum value of the second curve slope difference values; The temperature calculation module is used to calculate the comprehensive surface temperature factor of the burning coal based on the number of curve slope difference values, the sum value of curve slope difference values, the number of second curve slope difference values, and the sum value of second curve slope difference values.

[0035] The beneficial effects of the above technical solution are as follows: Based on the number of curve slope difference values, the sum value of curve slope difference values, the number of second curve slope difference values, and the sum value of second curve slope difference values, the present invention calculates the comprehensive surface temperature factor of the burning coal, eliminating the need for manual calculation and evaluation, eliminating calculation errors, and providing a comprehensive surface temperature factor that can reflect the temperature of the burning coal.

[0036] In some embodiments of the present application, the temperature calculation module is used to: The temperature calculation module is used to calculate the comprehensive surface temperature factor of the burning coal according to the following formula: ; where e is the comprehensive surface temperature factor of the burning coal, d1 is the number of curve slope difference values, d2 is the number of second curve slope difference values, r1 is the sum value of curve slope difference values, and r2 is the sum value of second curve slope difference values.

[0037] In some embodiments of the present application, the spray fire extinguishing module is used to: When the comprehensive surface temperature factor is less than the comprehensive surface temperature factor threshold, the spray fire extinguishing module determines that the surface temperature of the burning coal meets the safety conditions; When the comprehensive surface temperature factor is greater than or equal to the comprehensive surface temperature factor threshold, the spray fire extinguishing module determines that the surface temperature of the burning coal does not meet the safety conditions.

[0038] In this embodiment, the comprehensive surface temperature factor threshold is set in advance, and is preferably 6 here.

[0039] In some embodiments of the present application, the spray fire extinguishing module is used to: The spray fire extinguishing module is used to obtain a pre-set factor-strategy mapping table, traverse the comprehensive surface temperature factor on the factor-strategy mapping table, and determine the activation strategy corresponding to the comprehensive surface temperature factor; The spray fire extinguishing module is used to activate the spray fire extinguishing device based on the activation strategy.

[0040] In this embodiment, the factor-strategy mapping table is preset, and each comprehensive surface temperature factor corresponds to an activation strategy, which includes spraying time, spraying volume, etc.

[0041] The beneficial effects of the above technical solutions are as follows: The present invention significantly improves the detection efficiency and accuracy of the temperature of burning coal, reduces the dependence on manual inspections, can quickly respond and implement fire extinguishing in the initial stage of a fire, effectively curb the spread of the fire, ensure production safety, and reduce the fire risk.

[0042] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0043] Although the present invention has been described above with reference to the embodiments, various improvements can be made to it and components therein can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention can be combined with each other in any way, and only for the sake of saving space and resources, the situations of these combinations are not fully described in this specification.

[0044] Those of ordinary skill in the art can understand that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A real-time temperature detection system for open-flame coal, characterized in that, Including: An image determination module, configured to collect an image of the surface of the burning coal to obtain a surface image of the burning coal, and perform gray conversion on the surface image of the burning coal to obtain a surface gray image of the burning coal; An image processing module, configured to divide the surface gray image of the burning coal into multiple sub-surface gray image regions, extract the gray pixel values on the sub-surface gray image regions respectively, and determine temperature factors of multiple sub-surface gray image regions; A temperature calculation module, configured to analyze the temperature factors of all sub-surface gray image regions, and calculate a comprehensive surface temperature factor of the burning coal based on the analysis results; A spray fire extinguishing module, configured to judge whether the surface temperature of the burning coal meets the safety conditions according to the relationship between the comprehensive surface temperature factor and a comprehensive surface temperature factor threshold, and if not, turn on the spray fire extinguishing device.

2. The real-time detection system for the temperature of open-fire coal according to claim 1, wherein The image determination module is used for: The image determination module is configured to analyze the surface image of the burning coal to determine pixel information of three color channels, namely red, green, and blue, corresponding to the surface image of the burning coal; The image determination module is configured to perform weighted operations on the pixel values of the red, green, and blue color channels of the surface image of the burning coal respectively according to preset weighting coefficients to obtain a weighted sum corresponding to each pixel, where the weighting coefficients satisfy Red weighting coefficient × Maximum pixel value of the red channel + Green weighting coefficient × Maximum pixel value of the green channel + Blue weighting coefficient × Maximum pixel value of the blue channel = 1; The image determination module is configured to convert the obtained weighted sum into a corresponding gray value according to a preset gray mapping rule to obtain the surface gray image of the burning coal.

3. The real-time detection system for the temperature of open-flame coal according to claim 1, wherein, The image processing module is used for: The image processing module is configured to determine a gray pixel value sequence according to all the gray pixel values, perform curve fitting on the gray pixel value sequence to obtain a gray pixel value curve; The image processing module is configured to determine upper mutation gray pixel values on the gray pixel value curve, mark all the upper mutation gray pixel values, and determine the remaining gray pixel value sequence of the gray pixel value curve; The image processing module is configured to obtain an upper mutation gray pixel value sequence according to each upper mutation gray pixel value and q gray pixel values on the left and right; The image processing module is configured to calculate the absolute value of the difference between the upper mutation gray pixel value and the maximum gray pixel value on the gray pixel value curve as the gray pixel value extreme difference value of the upper mutation gray pixel value; The image processing module is configured to calculate a first average value of all the gray pixel values in the gray pixel value sequence, calculate a second average value of all the gray pixel values in the remaining gray pixel value sequence, and calculate the absolute value of the difference between the first average value and the second average value as the pixel value difference between sequences; The image processing module is configured to calculate a third average value of all the gray pixel values in the upper mutation gray pixel value sequence, and calculate the absolute value of the difference between the upper mutation gray pixel value and the third average value as the pixel value mutation difference value of the upper mutation gray pixel value; The image processing module is used to calculate the temperature factor of the subsurface gray image area according to the extreme difference value of the gray pixel values, the mutation difference value of the pixel values, and the difference value of the pixel values between sequences.

4. The real-time detection system for the temperature of open-fire coal according to claim 3, wherein The image processing module is used for: The image processing module is used to configure a first calculation coefficient for the extreme difference value of the gray pixel values, a second calculation coefficient for the mutation difference value of the pixel values, and a third calculation coefficient for the difference value of the pixel values between sequences; The image processing module is used to calculate the temperature factor of the subsurface gray image area according to the following formula: ； Where, a is the temperature factor of the subsurface gray image area, z1 is the first calculation coefficient, z2 is the second calculation coefficient, z3 is the third calculation coefficient, w1 is the extreme difference value of the gray pixel values, w2 is the mutation difference value of the pixel values, and w3 is the difference value of the pixel values between sequences.

5. The real-time temperature detection system for open-flame coal according to claim 1, characterized in that, The temperature calculation module is used for: The temperature calculation module is used to construct a temperature factor curve of the subsurface gray image area based on all the temperature factors of the subsurface gray image areas; The temperature calculation module is used to determine the first temperature factor and the second temperature factor of the subsurface gray image area on the temperature factor curve of the subsurface gray image area, and bind the first temperature factor and the second temperature factor of the subsurface gray image area; The temperature calculation module is used to determine the first curve slope corresponding to the first temperature factor of the subsurface gray image area; The temperature calculation module is used to determine the second curve slope corresponding to the second temperature factor of the subsurface gray image area; The temperature calculation module is used to calculate the curve slope difference value between the first curve slope and the second curve slope; The temperature calculation module is used to determine the third temperature factor and the fourth temperature factor of the subsurface gray image area on the temperature factor curve of the subsurface gray image area, and bind the third temperature factor and the fourth temperature factor of the subsurface gray image area; The temperature calculation module is used to determine the third curve slope corresponding to the third temperature factor of the subsurface gray image area; The temperature calculation module is used to determine the fourth curve slope corresponding to the fourth temperature factor of the subsurface gray image area; The temperature calculation module is used to calculate the curve slope difference value between the third curve slope and the fourth curve slope; The temperature calculation module is used to repeat the above steps to determine multiple curve slope difference values; The temperature calculation module is used to calculate the comprehensive surface temperature factor of the flaming coal based on all the curve slope difference values.

6. The real-time detection system for the temperature of open-flame coal according to claim 5, wherein The temperature calculation module is used for: The temperature calculation module is used to extract the same curve slope difference values from all the curve slope difference values to construct a curve slope difference value set; The temperature calculation module is used to count the number of curve slope difference values in the curve slope difference value set; The temperature calculation module is used to extract one curve slope difference value from each curve slope difference value set and calculate the sum value of the curve slope difference values. The temperature calculation module is used to calculate the variance of the curve slope difference values corresponding to all the curve slope difference values, delete the set of curve slope difference values that are all less than the variance of the curve slope difference values, and count the number of second curve slope difference values in the remaining set of curve slope difference values; The temperature calculation module is used to respectively extract a curve slope difference value from the remaining set of curve slope difference values, and calculate the sum value of the second curve slope difference values; The temperature calculation module is used to calculate the comprehensive surface temperature factor of the open fire coal based on the number of curve slope difference values, the sum value of the curve slope difference values, the number of second curve slope difference values, and the sum value of the second curve slope difference values.

7. The real-time temperature detection system for open-flame coal according to claim 6, characterized in that, The temperature calculation module is used for: The temperature calculation module is used to calculate the comprehensive surface temperature factor of the open fire coal according to the following formula: ； Where, e is the comprehensive surface temperature factor of the open fire coal, d1 is the number of curve slope difference values, d2 is the number of second curve slope difference values, r1 is the sum value of the curve slope difference values, and r2 is the sum value of the second curve slope difference values.

8. The real-time detection system for the temperature of open-flame coal according to claim 1, characterized in that, The spray fire extinguishing module is used for: The spray fire extinguishing module is used to determine that the surface temperature of the open fire coal meets the safety condition when the comprehensive surface temperature factor is less than the comprehensive surface temperature factor threshold; The spray fire extinguishing module is used to determine that the surface temperature of the open fire coal does not meet the safety condition when the comprehensive surface temperature factor is greater than or equal to the comprehensive surface temperature factor threshold.

9. The real-time detection system for the temperature of open-flame coal according to claim 1, wherein The spray fire extinguishing module is used for: The spray fire extinguishing module is used to obtain a pre-set factor - strategy mapping table, traverse the comprehensive surface temperature factor on the factor - strategy mapping table, and determine the opening strategy corresponding to the comprehensive surface temperature factor; The spray fire extinguishing module is used to turn on the spray fire extinguishing device based on the opening strategy.

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