A method and system for thermal imaging analysis of abrasive energy changes during mechanochemical processing.

Abstract

This invention discloses a method and system for analyzing the energy changes of abrasives during mechanochemical processing using thermal imaging, relating to the field of machine vision technology. The method includes pre-processing the material to obtain a material precursor; laying the mechanochemically processed material product flat in an air-exposed environment for spontaneous combustion, and capturing thermal images of the burning material until it self-extinguishes; performing infrared image recognition on the infrared thermal imaging video, and calculating the energy based on the recognition results. The method of this invention transforms the uncertain black box model inside the ball mill jar into a deterministic energy model through thermal imaging and infrared image recognition technology, thus overcoming the black box problem of the mechanochemical ball milling process. By calculating the combustion energy from the image recognition results, the energy obtained by the abrasive in the mechanochemical ball milling method can be inferred, providing an effective experimental approach for the internal energy conversion process of abrasives processed by mechanochemical methods.

Description

Technical Field

[0001] This invention relates to the field of machine vision technology, specifically to a method and system for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging. Background Technology

[0002] Mechanical ball milling, also known as mechanical alloying, is an excellent mechanochemical treatment method. Due to its simple process and minimal environmental impact, it is widely used in material doping, material crushing, and material preparation. Mechanical ball milling, through high-intensity collision and destruction, has a comprehensive impact on the structure and properties of abrasives. Currently, research on mechanical ball milling at home and abroad focuses on application areas. In existing technologies, the process of "mechanical alloying-powder deoxidation-discharge plasma sintering" is used to prepare Re-Hf-Ta-WC alloy materials, achieving the preparation of high mechanical strength materials with simple operation and low cost.

[0003] However, mechanical ball milling occurs inside a milling jar and is considered a black box process, making it impossible to effectively observe its internal workings using existing technologies. Mechanical ball milling can effectively increase the chemical reactivity of materials by inputting a large amount of energy into them. Current technologies use high-energy ball milling to increase contact and collision with aluminum powder, achieving the goal of efficiently removing the alumina passivation layer and improving the activity of aluminum powder. With a series of operations, activated aluminum powder materials that can effectively produce hydrogen are obtained. However, due to the complexity of the reactions that occur during milling, there is currently no universally accepted mechanistic conclusion regarding the increased reactivity of mechanical ball milling.

[0004] Thermal imaging is commonly used in various detection methods. It collects infrared light through optical devices and converts it into electronic signals to identify the temperature of an object's surface. The OpenCV model, as a well-known machine vision model, can identify elements such as text information and RGB color values ​​in images. By using thermal imaging combined with machine vision methods, it is possible to capture and analyze the spontaneous combustion of air in highly activated mechanical and chemical processing products. Therefore, this invention can provide a new technical solution for the analysis of internal energy input and activation process testing in 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 to resolve the difficulty in analyzing the energy changes of abrasive input during the mechanochemical processing of materials, which is caused by the inability of existing technologies to effectively observe the inside of the ball mill jar.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging, comprising pre-processing the material to obtain a material precursor; laying the mechanically and chemically processed material product in an air-exposed environment for spontaneous combustion, and taking thermal images of the burning material until the material extinguishes itself; performing infrared image recognition on the infrared thermal imaging video, and calculating the energy based on the recognition results.

[0008] As a preferred embodiment of the method for thermal imaging analysis of abrasive energy changes in mechanochemical processing according to the present invention, the pretreatment includes impurity removal and drying of the pretreated material before high-energy ball milling; the impurity removal process includes soaking, filtration and calcination, with soaking and filtration performed at least 3 times, each soaking lasting 3-4 hours, the filtration process using a vacuum filtration method, and the calcination process maintaining the calcination temperature at 200℃-600℃, with each heating or cooling lasting at least 1 hour, and the calcination time at least 1 hour; during the drying process, to ensure complete drying of the material without damaging the physicochemical properties of the ball milling precursor, the drying temperature is 40℃-80℃, and the drying time is 30min-60min.

[0009] As a preferred embodiment of the method for thermal imaging analysis of abrasive energy changes during mechanochemical processing according to the present invention, the mechanochemical 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 ball used for 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 embodiment of the method for analyzing the energy change of abrasives in mechanical and chemical processing using thermal imaging as described in this invention, the thermal imaging includes a time of less than 1 minute from the opening of the ball mill jar to the spreading of the material, an infrared thermal imager lens being at least 20 cm away from the spreading surface of the material, and the highest temperature in the infrared thermal image dropping to 40℃-80℃ being considered as the material extinguishing itself.

[0011] As a preferred embodiment of the method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging as described in this invention, the infrared image recognition includes: exporting the infrared thermal image video from the infrared thermal imager; using the OpenCV computer vision library based on the Python language to obtain the temperature of each pixel within 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 maximizing the acquisition of the effective combustion area and avoiding redundant elements from affecting machine vision, the effective combustion recognition range of the infrared image is a rectangular area of ​​the infrared image centered on the infrared image, with a length range of 50%-70% and a width range of 40%-60%; according to the infrared thermal imager software settings, the infrared video frame rate is set to 30FPS-60FPS; 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℃.

[0012] As a preferred embodiment of the method for thermal imaging analysis of abrasive energy changes in mechanochemical processing according to the present invention, the energy calculation includes calculating the energy output of material combustion using the material specific heat capacity calculation method. The energy calculation using the specific heat capacity calculation method is expressed as follows:

[0013] E = cρV(T + 273)

[0014] Where E is the energy per pixel, c is the specific heat capacity of graphite, ρ is the density of graphite, T is the temperature obtained from image recognition, and V is the graphite volume per pixel; the temperature T is obtained by using OpenCV machine vision method, reading the infrared image thermal color wheel position according to the captured infrared image, obtaining the image RGB values, the highest temperature and the lowest temperature of the image, applying interpolation method to obtain the temperature-RGB sequence, and finally reading the pixel temperature value within the effective recognition range of the infrared image. To avoid the influence of ambient temperature pixels on the combustion image recognition process, the temperature of the combustion pixel can be considered to be not less than 40℃.

[0015] As a preferred embodiment of the method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging as described in this invention, the infrared image thermal color palette includes an image area of ​​3% to 5% of the leftmost side of the image length and 75% to 100% of the infrared image width, which is considered as the temperature of the burning pixel in the energy calculation.

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

[0017] A preferred embodiment of the system for the method of thermal imaging analysis of energy changes in abrasives during mechanochemical processing according to the present invention includes: a pre-processing module, a processing and imaging 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 imaging module is used to lay the mechanochemically processed material product flat in an air-exposed environment for spontaneous combustion, and to perform thermal imaging on 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 to perform energy calculation based on the recognition results.

[0018] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program being a step in implementing a method for thermal imaging analysis of energy changes in abrasives during mechanochemical processing.

[0019] A computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of a method for thermal imaging analysis of energy changes in abrasives during mechanochemical processing.

[0020] The beneficial effects of this invention are as follows: The method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging provides by transforming the uncertain black box model inside the grinding jar into a definite energy model through thermal imaging and infrared image recognition technology. This solves the problem that it is difficult to analyze the energy changes of abrasive input during mechanochemical processing because existing technologies cannot observe the interior of the jar. By calculating the combustion energy from the image recognition results, the energy obtained by the abrasive in the mechanochemical ball milling method can be calculated and back-calculated, providing an effective experimental approach for the internal energy conversion process of abrasives in mechanochemical processing. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 The first embodiment of the present invention provides an overall flowchart of a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging.

[0023] Figure 2 This is a schematic diagram illustrating the specific process of a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging, as provided in the second embodiment of the present invention.

[0024] Figure 3A schematic diagram of an infrared image capturing stand for a method of thermal imaging analysis of energy changes in abrasives during mechanical and chemical processing, provided in the second embodiment of the present invention.

[0025] Figure 4 The second embodiment of the present invention provides infrared images and corresponding temperature-pixel curves at different times for a method of analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging.

[0026] Figure 5 This is a comparison diagram of the combustion exothermic curves of a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging, provided in the second embodiment of the present invention.

[0027] Figure 6 The following is a system flowchart of a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging, provided as a third embodiment of the present invention. Detailed Implementation

[0028] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0029] Example 1, referring to Figures 1-3 As an embodiment of the present invention, a method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging is provided, comprising:

[0030] S1: Perform pretreatment on the material to obtain the material precursor.

[0031] Furthermore, the pretreatment includes removing impurities and drying the pretreated material before high-energy ball milling.

[0032] It should be noted that the impurity removal process includes soaking, filtration, and calcination. The soaking and filtration processes are repeated at least three times, with each soaking lasting 3-4 hours. The filtration process uses a vacuum filtration method. The calcination process maintains a calcination temperature of 200℃-600℃, with each heating or cooling process lasting at least 1 hour. The calcination time is also at least 1 hour. Using this range of values ​​ensures that impurities in the ball mill precursor are removed to the greatest extent possible during the impurity removal process, thus avoiding any impact on subsequent processes.

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

[0034] S2: The mechanically and chemically processed material product is laid flat in an air-exposed environment and spontaneously combusted. Thermal imaging is performed on the burning material until it extinguishes itself.

[0035] Furthermore, the mechanochemical processing includes high-energy ball milling of material precursors to obtain material products; during the high-energy ball milling process, the diameter of the balls used for 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 thermal imaging includes a time of less than 1 minute from the opening of the ball mill tank to the material being spread out, an infrared thermal imager lens being at least 20cm away from the material spreading surface, and the material being considered to have extinguished itself when the highest temperature in the infrared thermal image drops to 40℃-80℃.

[0037] It should also be noted that the reason for using this numerical range in the high-energy ball milling process is as follows: the higher the ball-to-material ratio, the higher the grinding efficiency, but an excessively high ball-to-material ratio will lead to excessively fine material crushing and reduced efficiency; the higher the ball milling frequency, the faster the energy transfer, but an excessively high frequency will lead to uneven material crushing; the longer the ball milling time, the higher the degree of grinding, but an excessively long ball milling time will lead to excessive material crushing and reduced performance. Therefore, the high-energy ball milling method used in this step allows the abrasive to fully absorb the high-energy ball milling energy and makes combustion controllable.

[0038] It should also be noted that the reason for using this numerical range during thermal imaging is as follows: the limited tiling operation time allows the thermal imager to capture more infrared images; the limited object-image distance can be adapted to the infrared thermal imager, which cannot change its focal length, with a 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 environmental pixels are not captured.

[0039] S3: Perform infrared image recognition on infrared thermal imaging video and calculate energy based on the recognition results.

[0040] Furthermore, infrared image recognition includes exporting infrared thermal image video from an infrared thermal imager, using Python and the OpenCV computer vision library to obtain the temperature of each pixel within the effective combustion recognition range of the image; during the infrared image recognition process, combustion temperature data is output frame by frame, and the effective combustion recognition range of the infrared image is within a rectangular area of ​​the infrared image centered on the infrared image, with a length range of 50%-70% and a width range of 40%-60%; 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℃.

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

[0042] E = cρV(T + 273)

[0043] Where E is the energy per pixel, c is the specific heat capacity of graphite, ρ is the density of graphite, T is the temperature obtained from image recognition, and V is the graphite volume per pixel; the temperature T is obtained by using OpenCV machine vision to read the infrared image range of 5%-20% of the image length to obtain the infrared image thermal color palette, and obtain the image RGB values, the highest temperature and the lowest temperature of the image, and apply interpolation to obtain the temperature-RGB sequence. Finally, the pixel temperature value of the effective recognition range of the infrared image is read, and the temperature of the burning pixel is considered to be no less than 30℃.

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

[0045] It should also be noted that the effective combustion recognition range used in the infrared image recognition process is as follows: the area used in the infrared image recognition step has been repeatedly tested and is 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 color palette area in energy calculation can effectively obtain the effective pixel area of ​​the color palette, so that the pixel temperature can be effectively obtained without errors. The lower limit of the temperature of the combustion pixel can effectively limit the temperature calculation range and prevent the calculation from being interfered with by environmental background information.

[0046] It should also be noted that, Figure 3 The numbers 1-5 in the text refer to the terminal computer, cloud computing server, infrared thermal imager, combustion experiment platform, and workbench, respectively.

[0047] Example 2, refer to Figures 4-5 As an embodiment of the present invention, a method for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculations and simulation experiments.

[0048] Three mechanical ball milling tests were conducted on graphite.

[0049] First, graphite was used as a pretreatment material and mechanically ball-milled. The ball diameter 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 was used to capture the combustion process of the mechanically and chemically processed products after the can was opened. The time from opening the ball mill can to the material being spread out was 40 seconds. The camera shooting mode was set to 0-650℃, and the infrared thermal imager lens should be 30cm away from the material plane. The highest temperature in the infrared thermal image was considered to have extinguished itself when it dropped to 50℃.

[0051] Third, the infrared video captured by thermal imaging is disassembled frame by frame using Python code. The effective combustion area is a rectangular region centered on the center of the infrared image, with a length ranging from 55% of the length of the infrared image and a width of 50% of the width of the infrared image. The rightmost 5% area of ​​the image is the thermal color palette. The disassembled image is then subjected to image recognition using the OpenCV model to obtain the highest and lowest temperatures of the image and the RGB values ​​of each pixel.

[0052] Finally, the specific heat capacity calculation formula was applied to calculate the energy per pixel, and the results were accumulated to obtain the frame-by-frame energy change of the material under this experimental operation. The energy obtained by the abrasive in the mechanochemical operation was then inferred. Table 1 shows the parameter comparison of the small balls used in the ball milling of the three experiments.

[0053] Table 1. Comparison of Experimental Ball Parameters

[0054] test subjects Small ball diameter (mm) Ball 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 The method provided by this invention can successfully analyze the heat release of material combustion from infrared images using machine vision recognition, thereby transforming the uncertain black box model inside the mill jar into a deterministic energy model that can be identified using thermal imaging. Based on observation... Figure 3 It can be observed that during the combustion process, the burning area of ​​the flat material is dotted and sheet-like, and the combustion temperature is stable, with the highest combustion temperature around 500℃ followed by a gradual decrease. The remaining graphite dots were not ignited at this temperature, which is consistent with the process of mechanical ball milling where a large amount of energy is input into the abrasive, and then the abrasive releases energy by burning in the air. By studying this process, we can discover the regular combustion properties of graphite in the air, which can be used for further energy analysis in mechanochemical processes.

[0056] Reference Figure 5 The method provided by this invention can effectively simulate the combustion process for different ball milling parameters, thereby enabling the prediction of the internal energy input of the ball mill through image recognition of the combustion process. The combustion curves obtained from the three experiments all showed a reaction process of first stable combustion and then gradual cooling, indicating that the spontaneous combustion process of the ball-milled material has a stable regularity as the ball milling time changes.

[0057] Example 3, referring to Figure 6As an embodiment of the present invention, a system for analyzing the energy changes of abrasives in mechanical and chemical processing using thermal imaging is provided, comprising a preprocessing module, a processing imaging module, and an identification and calculation module.

[0058] The pre-processing module is used to pre-process the material to obtain the material precursor; the processing and imaging module is used to lay the mechanically and chemically processed material product in an air-exposed environment for spontaneous combustion, and to perform thermal imaging 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 to perform energy calculation based on the recognition results.

[0059] If a function is implemented as 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 this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

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

[0061] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0062] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within 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 and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for analyzing the energy changes of abrasives during mechanochemical processing using thermal imaging, characterized in that, include: The material is pre-treated to obtain a material precursor; The mechanically and chemically processed material products are laid flat in an air-exposed environment and spontaneously combusted. Thermal imaging is then used to photograph the burning material until it extinguishes itself. Infrared image recognition is performed on infrared thermal imaging videos, and energy calculation is performed based on the recognition results; The mechanochemical processing includes high-energy ball milling of the material precursor to obtain the material product; The energy calculation includes calculating the energy output of material combustion using the material's specific heat capacity. The energy calculation using the specific heat capacity method is expressed as follows: E = cρV(T + 273) Where E is the energy per unit pixel, c is the specific heat capacity of graphite material, ρ is the density of graphite material, T is the temperature obtained by image recognition, and V is the graphite volume per unit pixel. The temperature T is obtained by using OpenCV machine vision. According to the position of the infrared image thermal color wheel, the infrared image thermal color wheel is read and the image RGB values, the highest temperature and the lowest temperature of the image are obtained. The temperature-RGB sequence is obtained by applying interpolation. 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, the temperature of the combustion pixel is considered to be no less than 40℃.

2. The method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging as described in claim 1, characterized in that: The pretreatment includes removing impurities and drying the pretreated material before high-energy ball milling; The impurity removal process includes soaking, filtering and roasting. The number of soaking and filtering is no less than 3 times, and the soaking time is 3-4 hours each time. The filtering process uses the suction filtration method. The roasting temperature is maintained at 200℃-600℃, and the heating or cooling time is no less than 1 hour. The roasting time is no less than 1 hour. During the drying process, in order to ensure that the material is completely dried without damaging the physical and chemical properties of the ball milling precursor, the drying temperature is 40℃-80℃ and the drying time is 30min-60min.

3. The method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging as described in claim 2, characterized in that: In the high-energy ball milling process, the diameter of the balls used for milling is 1mm-10mm, the ball-to-material ratio is 8:1-20:1, the milling frequency is 12Hz-32Hz, and the milling time is 8h-60h.

4. The method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging as described in claim 3, characterized in that: The thermal imaging capture includes a time of less than 1 minute from the opening of the ball mill jar to the material being spread out, an infrared thermal imager lens being at least 20cm away from the material spreading surface, and the material being considered to have extinguished itself when the highest temperature in the infrared thermal image drops to 40℃-80℃.

5. The method for analyzing the energy changes of abrasives in mechanochemical processing using thermal imaging as described in claim 4, characterized in that: The infrared image recognition includes exporting the infrared thermal image 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. Based on the principle of obtaining the effective combustion area to the maximum extent and avoiding redundant elements from affecting machine vision, the effective combustion recognition range of the infrared image is within a rectangular area of ​​the infrared image, which is 50%-70% of the length and 40%-60% of the width, 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 set to high-temperature thermal imaging mode with a maximum recognition temperature greater than 600℃.

6. The method for analyzing the energy changes of abrasives in mechanochemical machining using thermal imaging as described in claim 5, characterized in that: The infrared image thermal color palette includes, in energy calculation, the temperature of the burning pixel points identified as the image area of ​​the infrared image thermal color palette being 3% to 5% of the leftmost infrared image length and 75% to 100% of the infrared image width.

7. A system employing the method for analyzing the energy changes of abrasives in mechanochemical machining using thermal imaging as described in any one of claims 1 to 6, characterized in that: It includes a pre-processing module, a processing and shooting module, and a recognition and calculation module; The pre-processing module is used to pre-process the material to obtain a material precursor. The processing and imaging module is used to lay the mechanically and chemically processed material product 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 videos and to perform energy calculation based on the recognition results.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for thermal imaging analysis of energy changes in abrasives during mechanochemical processing, as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for thermal imaging analysis of energy changes in abrasives during mechanochemical processing, as described in any one of claims 1 to 6.

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