Method and system for analyzing energy change of mechanochemical processing abrasive through thermal imaging

Abstract

The invention discloses a method and a system for analyzing energy change of a mechanochemical processing abrasive through thermal imaging, and relates to the technical field of machine vision, and the method comprises the following steps: pre-processing a material to obtain a material precursor; flatly laying the material product subjected to mechanochemical processing in an air exposed environment for spontaneous combustion, and carrying out thermal imaging shooting on the combusted material until the material is automatically extinguished; and performing infrared image recognition on the infrared thermal imaging video, and performing energy calculation according to a recognition result. According to the method, an uncertain black box model in the ball milling tank is converted into a certain energy model through thermal imaging shooting and infrared image recognition technologies, so that the problem of black box in the mechanical ball milling process is solved; the combustion energy is calculated according to the image recognition result, the energy obtained by the grinding material in the mechanical ball milling method can be calculated and backstepping, and an effective experiment thought is provided for the internal energy conversion process of the grinding material processed by the mechanochemical method.

Description

Technical Field

[0001] The invention relates to the technical field of machine vision, in particular to a method and system for thermal imaging analysis of energy changes of abrasives in mechanochemical processing. Background Art

[0002] Mechanical ball milling, also known as mechanical alloying, is an excellent mechanochemical treatment method. It is widely used in material doping, material crushing and material preparation due to its simple process and low environmental impact. Mechanical ball milling has a comprehensive impact on the structure and properties of the abrasive through high-intensity collision and destruction. At present, research on mechanical ball milling at home and abroad is concentrated in the application field. In the existing technology, the "mechanical alloying-powder deoxidation-spark plasma sintering" process is used to prepare Re-Hf-Ta-WC alloy materials, and the preparation of high mechanical strength materials is completed using simple operations and low costs.

[0003] However, the mechanical ball milling process occurs in a ball mill, which is a black box process. The existing technical means cannot effectively observe its internal structure. The mechanical ball milling process can effectively increase the chemical reaction activity of the material by inputting a large amount of energy into the material. The existing technology uses high-energy ball milling to increase the contact and collision with the aluminum powder, so as to achieve the purpose of efficiently removing the aluminum oxide passivation layer and improving the activity of the aluminum powder, and a series of operations are used to obtain activated aluminum powder materials that can effectively produce hydrogen. However, due to the complexity of the reactions occurring in the milling process, there is currently no recognized mechanistic conclusion on the increase in the reaction activity of the mechanical ball milling process.

[0004] Thermal imaging shooting methods are often used in various detection methods. Infrared light is collected through optical devices and converted into electronic signals to identify the temperature of the surface of an object. The OpenCV model, as a well-known machine vision model, can recognize text information, RGB color values ​​and other elements of an image. Thermal imaging shooting supplemented by machine vision methods can be used to shoot and analyze spontaneous combustion of air in highly activated mechanochemical processing products. Therefore, the present invention can provide a new technical solution for the current internal energy input analysis and activation process testing of mechanical ball milling technology. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is: solving the problem of difficulty in analyzing the energy change of abrasive input during mechanical chemical processing of materials because the existing technology cannot effectively observe the inside of the ball mill.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for thermal imaging analysis of energy changes of mechanical and chemical processing abrasives, comprising pre-processing the material to obtain a material precursor; laying the material product after mechanical and chemical processing flat in an air-exposed environment for spontaneous combustion, and thermal imaging the burning material until the material extinguishes itself; performing infrared image recognition on the infrared thermal imaging video, and calculating energy based on the recognition result.

[0008] As a preferred embodiment of the method for thermal imaging analysis of energy changes of mechanical chemical processing abrasives described in the present invention, the pre-treatment includes removing impurities and drying the pre-treated material before high-energy ball milling; the impurity removal process includes soaking, filtering and roasting processes, the soaking and filtering times are not less than 3 times, each soaking time is 3 hours to 4 hours, the filtration process uses a suction filtration method, the roasting temperature in the roasting process is maintained at 200°C-600°C, the heating or cooling time is not less than 1 hour, and the roasting time is not less than 1 hour; in the drying process, in order to ensure that the material is completely dried without destroying the physical and chemical properties of the ball milling precursor, the drying temperature is 40°C-80°C, and the drying time is 30min-60min.

[0009] As a preferred embodiment of the method for thermal imaging analysis of energy changes of abrasives in mechanical chemical processing described in the present invention, the mechanical chemical processing includes high-energy ball milling of a material precursor to obtain a material product; during the high-energy ball milling process, the diameter of the small balls used for ball milling is 1mm-10mm, the ball-to-material ratio is 8:1-20:1, the ball milling frequency is 12Hz-32Hz, and the ball milling time is 8h-60h.

[0010] As a preferred solution of the method for thermal imaging analysis of energy changes of mechanical chemical processing abrasives described in the present invention, the thermal imaging shooting includes the time from opening the ball mill to the material being laid flat is less than 1 minute, the infrared thermal imager lens is not less than 20 cm away from the material laying plane, and the highest temperature in the infrared thermal image drops to 40°C-80°C, which is regarded as the material extinguishing itself.

[0011] As a preferred solution of the method for thermal imaging analysis of energy changes of mechanical and chemical processing abrasives described in the present invention, the infrared image recognition includes exporting the infrared thermal imaging video in the infrared thermal imager, and using the OpenCV computer vision library based on the python language to obtain the temperature of each pixel in the effective combustion recognition range of the image; during the infrared image recognition process, the combustion temperature data is output frame by frame, and according to the principle of obtaining the effective combustion area to the greatest extent and avoiding the influence of redundant elements on machine vision, the effective combustion recognition range of the infrared image is carried out in the infrared image rectangular area with a length range of 50%-70% and a width range of 40%-60% centered on the infrared image; according to the infrared thermal imager software setting, the infrared video frame rate is set to 30FPS-60FPS, and in order to capture the complete combustion process, the infrared thermal imager mode is a high-temperature thermal imaging mode with a maximum recognition temperature greater than 600°C.

[0012] As a preferred solution of the method for thermal imaging analysis of mechanical chemical processing abrasive energy changes described in the present invention, the energy calculation includes calculating the material combustion output energy using the material specific heat capacity calculation method, and the specific heat capacity calculation method energy calculation is expressed as:

[0013] E=cρV(T+273)

[0014] Among them, E is the energy per unit pixel, c is the specific heat capacity of graphite material, is the density of graphite material, T is the temperature obtained by image recognition, and V is the volume of graphite per unit pixel; the source of temperature T is to use the OpenCV machine vision method, according to the position of the thermal palette of the infrared image obtained by shooting, read the thermal palette of the infrared image, and obtain the image RGB value, the highest temperature of the image and the lowest temperature of the image, apply the interpolation method to obtain the temperature-RGB sequence, and finally read the pixel temperature value of the effective recognition range of the infrared image. In order to avoid the influence of ambient temperature pixels on the combustion image recognition process, it can be determined that the temperature of the burning pixel point is not less than 40°C.

[0015] As a preferred solution of the method for thermal imaging analysis of energy changes of mechanical chemical processing abrasives described in the present invention, the infrared image thermal palette is included in the energy calculation, the temperature of the burning pixel point is identified as the image area of ​​the infrared image thermal palette, which is 3% to 5% of the infrared image length and 75% to 100% of the infrared image width on the far left of the image length.

[0016] Another object of the present invention is to provide a system for thermal imaging analysis of energy changes in abrasives during mechanochemical processing, which can identify and analyze the combustion process of materials after high-energy ball milling through thermal imaging analysis using Python language and the OpenCV computer vision library, thereby solving the problem of difficulty in analyzing energy changes in abrasive input during mechanochemical processing of materials.

[0017] As a preferred solution of the system of the method for thermal imaging analysis of energy changes of mechanical and chemical processing abrasives described in the present invention, it includes: a pre-processing module, a processing and shooting module, and an identification and calculation module; the pre-processing module is used to pre-process the material to obtain a material precursor; the processing and shooting module is used to spread the material product after mechanical and chemical processing in an air-exposed environment for spontaneous combustion, and to perform thermal imaging of the burning material until the material extinguishes itself; the identification and calculation module is used to perform infrared image recognition on the infrared thermal imaging video, and perform energy calculation based on the recognition result.

[0018] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a method for thermal imaging analysis of energy changes of abrasives in mechanical chemical processing.

[0019] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for thermal imaging analysis of energy changes of abrasives in mechanical chemical processing.

[0020] Beneficial effects of the present invention: The method for thermal imaging analysis of energy changes of abrasives in mechanical chemical processing provided by the present invention converts the uncertain black box model in the ball mill into a definite energy model through thermal imaging and infrared image recognition technology, thereby solving the problem that it is difficult to analyze the energy changes of abrasive input during mechanical chemical processing of materials because the existing technical means cannot observe the inside; by calculating the combustion energy of the image recognition results, the energy obtained by the abrasive in the mechanical ball milling method can be reversed by calculation, providing an effective experimental idea for the internal energy conversion process of the abrasive treated by the mechanochemical method. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 An overall flow chart of a method for thermal imaging analysis of abrasive energy changes in mechanical chemical processing provided by the first embodiment of the present invention.

[0023] Figure 2 A schematic diagram of a specific process of a method for thermal imaging analysis of abrasive energy changes in mechanochemical processing provided in the second embodiment of the present invention.

[0024] Figure 3A schematic diagram of an infrared image shooting stand for a method for thermal imaging analysis of energy changes of abrasives in mechanochemical machining provided in a second embodiment of the present invention.

[0025] Figure 4 Infrared real-time images and corresponding temperature-pixel curves at different times of a method for thermal imaging analysis of energy changes of abrasives in mechanochemical processing provided in the second embodiment of the present invention.

[0026] Figure 5 A comparison diagram of combustion heat release curves of a method for thermal imaging analysis of energy changes of abrasives in mechanical chemical processing provided by the second embodiment of the present invention.

[0027] Figure 6 A system overall flow chart of a method for thermal imaging analysis of abrasive energy changes in mechanical chemical processing provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0029] Example 1, reference Figure 1-Figure 3 , as one embodiment of the present invention, provides a method for thermal imaging analysis of abrasive energy changes in mechanical chemical processing, comprising:

[0030] S1: Pre-process the material to obtain the material precursor.

[0031] Furthermore, the pre-treatment includes removing impurities and drying the pre-treated material before high-energy ball milling.

[0032] It should be noted that the impurity removal process includes soaking, filtering and roasting processes. The soaking and filtering times are not less than 3 times, and each soaking time is 3-4 hours. The filtration process uses the suction filtration method. The roasting temperature in the roasting process is maintained at 200℃-600℃. The heating or cooling time is not less than 1 hour, and the roasting time is not less than 1 hour. The use of this numerical range can ensure that the impurities of the ball-milled precursor are removed to the greatest extent during the impurity removal process to avoid affecting the subsequent process progress.

[0033] It should also be noted that during the drying process, the drying temperature is 40°C-80°C and the drying time is 10min-30min.

[0034] S2: Lay the mechanically and chemically processed material products flat in an air-exposed environment to spontaneously combust, and take thermal imaging photos of the burning material until the material extinguishes itself.

[0035] Furthermore, the mechanochemical processing includes high-energy ball milling of the material precursor to obtain the material product; during the high-energy ball milling process, the diameter of the small balls used for ball milling is 1mm-8mm, the ball-to-material ratio is 8:1-20:1, the ball milling frequency is 12Hz-32Hz, and the ball milling time is 8h-60h.

[0036] It should be noted that the thermal imaging shooting includes the time from opening the ball mill to laying out the material, which is less than 1 minute. The infrared thermal imager lens is at least 20 cm away from the flat surface of the material. The highest temperature in the infrared thermal image drops to 40℃-80℃, which is considered to be the self-extinguishing of the material.

[0037] It should also be noted that the reason for using this numerical range during high-energy ball milling is: the higher the ball-to-material ratio, the higher the grinding efficiency, but too high a ball-to-material ratio will cause the material to be broken too finely and reduce efficiency; the higher the ball milling frequency, the faster the energy transfer, but too high a frequency will cause uneven material breakage; the longer the ball milling time, the higher the degree of grinding, but too long a ball milling time will cause the material to be over-broken and reduce performance. Therefore, the high-energy spheroidal graphite method used in this step can allow the abrasive to fully absorb the high-energy ball milling energy and make the combustion controllable.

[0038] It should also be noted that the reason for using this numerical range during thermal imaging is that the limited tiling operation time allows the thermal imager to capture more infrared images; the limited object-image distance can adapt the infrared thermal imager that cannot change the focal length with higher resolution, so that the combustion interface appears in the center of the image; the limited minimum combustion cooling temperature can obtain a more complete combustion-cooling process while ensuring that no environmental pixels are captured.

[0039] S3: Perform infrared image recognition on the infrared thermal imaging video and perform energy calculation based on the recognition result.

[0040] Furthermore, infrared image recognition includes exporting infrared thermal imaging video from the infrared thermal imager, and using the OpenCV computer vision library based on the Python language to obtain the temperature of each pixel in the effective combustion recognition range of the image; during the infrared image recognition process, the combustion temperature data is output frame by frame, and the effective combustion recognition range of the infrared image is carried out in a rectangular area of ​​the infrared image with a length range of 50%-70% and a width range of 40%-60% centered on the infrared image; the infrared video frame rate is set to 30FPS-60FPS, and the infrared thermal imager mode is a high-temperature thermal imaging mode with a maximum recognition temperature greater than 600°C.

[0041] It should be noted that energy calculation includes calculating the material combustion output energy using the material specific heat capacity calculation method. The specific heat capacity calculation method energy calculation is expressed as:

[0042] E=cρV(T+273)

[0043] Wherein, E is the energy per unit pixel, c is the specific heat capacity of graphite material, is the density of graphite material, T is the temperature obtained by image recognition, and V is the volume of graphite per unit pixel; the source of temperature T is to use the OpenCV machine vision method to read the image length range of 5%-20% infrared image range to obtain the infrared image thermal palette, and obtain the image RGB value, the highest temperature of the image and the lowest temperature of the image, and apply the interpolation method to obtain the temperature-RGB sequence, and finally read the pixel temperature value of the effective recognition range of the infrared image, which can be identified as the temperature of the burning pixel point is not less than 30°C.

[0044] It should also be noted that the infrared image thermal palette is included in the energy calculation, and the temperature of the pixels identified as burning is the image area of ​​the infrared image thermal palette, which is 3% to 5% of the infrared image length on the leftmost side of the image length and 100% of the infrared image width.

[0045] It should also be noted that the reason for the effective combustion recognition range used in the infrared image recognition process is that the area used in the infrared image recognition step has been repeatedly tested to be the most suitable image area for image recognition without being affected by redundant information in the image. The separation parameters used in the selection of the infrared image thermal palette area in the energy calculation can effectively obtain the effective pixel area of ​​the palette, so that the pixel temperature can be effectively obtained without errors, and the lower limit of the temperature of the combustion pixel point can effectively limit the temperature calculation range to prevent the calculation from being interfered with by environmental background information.

[0046] It should also be noted that Figure 3 1-5 are terminal computers, cloud computing servers, infrared thermal imagers, combustion experiment platforms, and workbenches, respectively.

[0047] Example 2, reference Figure 4-Figure 5 , which is an embodiment of the present invention, provides a method for thermal imaging analysis of abrasive energy changes in mechanical chemical processing. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0048] Graphite was selected for three mechanical ball milling tests.

[0049] Firstly, graphite was used as a processing precursor for mechanical ball milling. The diameter of the small balls used for ball milling was 5 mm, the ball-to-material ratio was 14:1, the ball milling frequency was 28 Hz, and the ball milling time was 16 h, 48 h, and 60 h, respectively.

[0050] Secondly, thermal imaging is carried out on the combustion process of the mechanical chemical processing products after opening the can. The time from opening the ball mill can to laying the material flat is 40s. The camera shooting mode is 0-650℃. The infrared thermal imager lens should be 30cm away from the material plane. The highest temperature in the infrared thermal image is considered to be self-extinguishing when it drops to 50℃.

[0051] Third, the infrared video taken by thermal imaging is disassembled frame by frame using Python code. The rectangular area with a length of 55% of the infrared image length and a width of 50% of the infrared image width centered on the center of the infrared image is taken as the effective combustion area. The 5% area on the far right of the image is the thermal palette. The disassembled image is subjected to image recognition using the OpenCV model to obtain the highest and lowest temperatures of the image and the RGB value of each pixel.

[0052] Finally, the specific heat capacity calculation formula is used to calculate the energy pixel by pixel, and the frame-by-frame energy change of the material under this experimental operation is accumulated, and the energy obtained by the abrasive in the mechanochemical operation is reversed. Table 1 is a comparison of the parameters of the small balls used in the three experimental ball millings.

[0053] Table 1 Comparison table of test ball parameters

[0054] Test subjects Ball diameter(mm) Ball to Material Ratio Ball milling frequency (Hz) Ball milling time (h) Ball Mill A 5 14:1 28 16 Ball mill B 5 14:1 28 48 Ball Mill C 5 14:1 28 60

[0055] Reference Figure 4 Through the method provided by the present invention, the heat release of material combustion can be successfully analyzed from infrared images by machine vision recognition, thereby realizing the transformation of the uncertain black box model in the ball mill into a definite energy model that can be identified by thermal imaging. Figure 3 It can be found that during the combustion process, the burning area of ​​the flat material is point-shaped and flake-shaped, the combustion temperature is stable, the highest combustion temperature is around 500°C and then gradually cools down, while the remaining graphite points are not ignited by this temperature, which is consistent with the process in which a large amount of energy is input into the abrasive during the mechanical ball milling process, and then the abrasive burns in the air to release energy. Through the study of this process, it can be found that graphite has regular combustion properties in the air, which can be used for energy analysis in further mechanochemical processes.

[0056] Reference Figure 5 Through the method provided by the present invention, the combustion process of different ball milling parameters can be effectively simulated, so as to realize the result of inferring the internal energy input of the ball mill through image recognition of the combustion process. The combustion curves obtained in the three experiments all showed a reaction process of first stable combustion and then gradual cooling, indicating that the spontaneous combustion process of the material after ball milling has a stable regularity with the change of ball milling time.

[0057] Example 3, reference Figure 6, as an embodiment of the present invention, provides a system for thermal imaging analysis of abrasive energy changes in mechanical chemical processing, including a pre-processing module, a processing and shooting module, and a recognition and calculation module.

[0058] Among them, the pre-processing module is used to pre-process the material to obtain the material precursor; the processing and shooting module is used to spread the material product after mechanical and chemical processing in an air-exposed environment for spontaneous combustion, and to take thermal imaging photos of the burning material until the material extinguishes itself; the recognition and calculation module is used to perform infrared image recognition on the infrared thermal imaging video, and perform energy calculation based on the recognition results.

[0059] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0060] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0061] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0062] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0063] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for thermal imaging analysis of abrasive energy changes in mechanical chemical processing, characterized in that: include: Pre-processing the material to obtain a material precursor; The mechanically and chemically processed material products are laid flat in an air-exposed environment to spontaneously combust, and thermal imaging of the burning material is taken until the material extinguishes itself; Perform infrared image recognition on infrared thermal imaging videos and perform energy calculation based on the recognition results.

2. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 1, characterized in that: The pre-treatment includes removing impurities and drying the pre-treated material before high-energy ball milling; The impurity removal process includes soaking, filtering and roasting. The soaking and filtering times are not less than 3 times, and each soaking time is 3 hours to 4 hours. The filtration process uses the suction filtration method. The roasting temperature of the roasting process is maintained at 200°C to 600°C, and the heating or cooling time is not less than 1 hour. The roasting time is not less than 1 hour. During the drying process, in order to ensure that the material is completely dried without destroying the physical and chemical properties of the ball-milled precursor, the drying temperature is 40°C-80°C and the drying time is 30min-60min.

3. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 2, characterized in that: The mechanochemical processing includes subjecting the material precursor to high-energy ball milling to obtain the material product; During the high-energy ball milling process, the diameter of the small balls used for ball milling is 1mm-10mm, the ball-to-material ratio is 8:1-20:1, the ball milling frequency is 12Hz-32Hz, and the ball milling time is 8h-60h.

4. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 3, characterized in that: The thermal imaging shooting includes the time from opening the ball mill to laying out the material being less than 1 minute, the infrared thermal imager lens is not less than 20 cm away from the material laying plane, and the highest temperature in the infrared thermal image drops to 40°C-80°C, which is considered that the material is self-extinguished.

5. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 4, characterized in that: The infrared image recognition includes exporting the infrared thermal image video in the infrared thermal imager, and using the OpenCV computer vision library based on the Python language to obtain the temperature of each pixel in the effective combustion recognition range of the image; During the infrared image recognition process, the combustion temperature data is output frame by frame. Based on the principle of obtaining the effective combustion area to the greatest extent and avoiding the influence of redundant elements on machine vision, the effective combustion recognition range of the infrared image is carried out in the infrared image rectangular area with a length range of 50%-70% and a width range of 40%-60% centered on the infrared image. According to the infrared thermal imager software settings, the infrared video frame rate is set to 30FPS-60FPS. In order to capture the complete combustion process, the infrared thermal imager mode is a high-temperature thermal imaging mode with a maximum recognition temperature greater than 600°C.

6. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 5, characterized in that: The energy calculation includes calculating the material combustion output energy using the material specific heat capacity calculation method, and the specific heat capacity calculation method energy calculation is expressed as: E=cρV(T+273) Among them, E is the energy per unit pixel, c is the specific heat capacity of graphite material, is the density of graphite material, T is the temperature obtained by image recognition, and V is the volume of graphite per unit pixel; The source of temperature T is to use the OpenCV machine vision method. According to the position of the thermal palette of the infrared image obtained by shooting, the infrared image thermal palette is read, and the image RGB value, the highest temperature of the image and the lowest temperature of the image are obtained. The temperature-RGB sequence is obtained by interpolation method, and finally the pixel temperature value of the effective recognition range of the infrared image is read. In order to avoid the influence of ambient temperature pixels on the combustion image recognition process, it can be determined that the temperature of the combustion pixel point is not less than 40°C.

7. The method for thermal imaging analysis of abrasive energy changes in mechanochemical machining as claimed in claim 6, characterized in that: The infrared image thermal palette is included in the energy calculation, and the temperature of the burned pixel is determined to be the image area of ​​the infrared image thermal palette, which is 3% to 5% of the infrared image length and 75% to 100% of the infrared image width on the far left side of the image length.

8. A system for analyzing the energy change of abrasives in mechanochemical processing by thermal imaging according to any one of claims 1 to 7, characterized in that: It includes pre-processing module, processing and shooting module, and recognition and calculation module; The pre-processing module is used to pre-process the material to obtain a material precursor; The processing and shooting module is used to lay the material product after mechanical and chemical processing flat in an air-exposed environment for spontaneous combustion, and to perform thermal imaging on the burning material until the material extinguishes itself; The recognition and calculation module is used to perform infrared image recognition on infrared thermal imaging video and perform energy calculation according to the recognition result.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for thermal imaging analysis of energy changes of abrasives in mechanical chemical machining according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for thermal imaging analysis of energy changes of abrasives in mechanical chemical machining according to any one of claims 1 to 7 are implemented.

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