Control system for diamond grinding wheel edging machine

Abstract

The invention discloses a control system for a diamond grinding wheel edging machine, relates to the technical field of diamond grinding wheel edging machine control, and solves the technical problems of poor edging effect consistency and influence on product quality caused by the problems of grinding wheel abrasion, non-uniform finishing and the like due to the fact that an existing edging machine usually adopts a grinding wheel repeated grinding mode. The shape information of the diamond grinding wheel and the dressing roller is collected in real time; generating an initial trimming control parameter based on the morphology information; wherein the initial finishing control parameters comprise the rotating speed of a grinding wheel, the rotating speed of a roller, the stepping length and the number of stepping iterations; starting a finishing process based on the initial finishing control parameters, and collecting frequency domain data after the finishing roller moves by a preset step length; judging whether the correction process is abnormal or not based on the frequency domain data; if yes, the finishing process is corrected; and if not, continuously monitoring and judging, so that the technical problem is solved.

Description

Technical Field

[0001] The invention belongs to the field of diamond grinding wheel sharpening machine control, in particular to a control system for a diamond grinding wheel sharpening machine. Background Art

[0002] In the tool manufacturing and grinding industry, diamond wheel sharpening machines are widely used for sharpening various types of knives (such as kitchen knives, scissors, etc.). Traditional diamond wheel sharpening machines usually rely on the operator's experience for manual adjustment, which is not only inefficient, but also difficult to ensure the consistency and accuracy of each processing. With the continuous development of automation technology and intelligent control systems, higher requirements are placed on diamond wheel sharpening machines, including improving production efficiency, ensuring product quality, and reducing labor intensity.

[0003] Existing sharpening machines usually use a grinding wheel to repeatedly grind. Under this operation mode, the grinding wheel and the diamond grinding wheel will contact and grind multiple times to achieve the purpose of dressing; but there are problems such as grinding wheel wear and uneven dressing, which leads to poor consistency of the sharpening effect and affects product quality.

[0004] Therefore, the present invention proposes a control system for a diamond wheel sharpening machine to solve the above problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a control system for a diamond grinding wheel sharpening machine, which is used to solve the problem that the existing sharpening machines usually adopt a method of repeated grinding with a grinding wheel. Under this operation mode, the grinding wheel and the diamond grinding wheel will contact and grind multiple times to achieve the purpose of dressing; but there are problems such as grinding wheel wear and uneven dressing, which lead to poor consistency of the sharpening effect and affect the technical problem of product quality.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides a control system for a diamond grinding wheel sharpening machine, comprising: a data acquisition module, a data analysis module and a correction module;

[0007] Data acquisition module: used to collect the morphological information of diamond grinding wheel and dressing roller in real time;

[0008] Data analysis module: generating initial dressing control parameters based on the morphology information; wherein the initial dressing control parameters include: grinding wheel speed, roller speed, step length and number of step iterations; and,

[0009] Starting the dressing process based on the initial dressing control parameters and collecting frequency domain data after the dressing roller moves a preset step length;

[0010] Correction module: judge whether there is any abnormality in the correction process based on frequency domain data; if yes, correct the correction process; if not, continue to monitor and judge.

[0011] Preferably, the real-time acquisition of the morphology information of the diamond grinding wheel and the dressing roller includes:

[0012] The morphological information of the diamond grinding wheel and the dressing roller is collected through the data acquisition equipment, including: surface roughness, shape characteristics and degree of grinding wheel wear.

[0013] It should be noted that the surface roughness is measured by using a laser rangefinder or an optical sensor to measure the surface roughness of the grinding wheel and the roller to evaluate their wear conditions;

[0014] The shape feature: using a 3D scanner or a profilometer to obtain the three-dimensional shape of the grinding wheel and the roller, and identify their geometric features (such as diameter, roundness, etc.);

[0015] The degree of wear: by comparing the morphological data of the new and old grinding wheels, the wear amount of the grinding wheel is calculated to provide a basis for the subsequent adjustment of dressing parameters.

[0016] Preferably, generating initial trimming control parameters based on morphology information includes:

[0017] Integrate historical morphology information into standard input data, and integrate preset initial trimming control parameters corresponding to the historical morphology information into standard output data;

[0018] Training an artificial intelligence model based on standard input data and standard output data to obtain an initial trimming control parameter generation model; wherein the artificial intelligence model includes: a convolutional neural network or a deep belief network;

[0019] The real-time morphology information is input into the initial trimming control parameter generation model to obtain the initial trimming control parameters.

[0020] It should be noted that the grinding wheel speed is determined based on the current diameter and degree of wear of the grinding wheel, ensuring a constant linear speed during the grinding process to optimize the grinding effect; the roller speed is set according to the material, shape and contact characteristics of the roller with the grinding wheel to ensure the smoothness and uniformity of the dressing process; the step length is defined by analyzing the surface roughness and geometric characteristics of the grinding wheel to define the distance the roller moves during each dressing to ensure uniform dressing coverage and not overly concentrated in a certain area; the number of step iterations is based on the dressing target and the state of the grinding wheel, and the total number of dressing is set to ensure that the grinding wheel achieves the ideal dressing effect after multiple fine adjustments.

[0021] Preferably, starting the trimming process based on the initial trimming control parameters includes:

[0022] Based on the grinding wheel speed, dressing roller speed, step length and step iteration number provided by the initial dressing parameter generation module, various actuators of the sharpening machine are configured; wherein the actuators include servo motors, cylinders, etc.;

[0023] Under the set parameters, the dressing roller starts to contact with the grinding wheel and the grinding operation is carried out.

[0024] It should be noted that, under the set parameters, the dressing roller begins to contact the grinding wheel and perform grinding operations. At this time, the grinding wheel rotates at a set speed, and the dressing roller moves step by step according to the preset step length to dress the grinding wheel surface.

[0025] Preferably, the collecting of frequency domain data after the trimming roller moves a preset step length includes:

[0026] After each roller moves a preset step length, an audio signal generated during the trimming process is collected by an audio collection device; wherein the audio collection device includes: a microphone or an acoustic sensor;

[0027] The collected audio signal is converted into frequency domain data through Fourier transform; wherein the frequency domain data includes: frequency, amplitude, harmonic components, etc.

[0028] It should be noted that the audio signal reflects the contact state between the grinding wheel and the roller, the grinding force, and the vibration during the dressing process.

[0029] Preferably, judging whether an abnormality occurs in the correction process based on the frequency domain data includes:

[0030] Extract preset standard frequency domain data;

[0031] The similarity between the frequency domain data and the preset standard frequency domain data is calculated by an audio similarity algorithm; wherein the audio similarity algorithm includes: a correlation coefficient or a Euclidean distance;

[0032] Determine whether the similarity is greater than a preset similarity threshold; if yes, it means that the trimming process is abnormal; if no, it means that the trimming process is normal.

[0033] It should be noted that the preset standard frequency domain data is established based on historical data and experimental results, and represents the ideal dressing state; among them, historical data refers to the actual measurement data and experimental results accumulated during the long-term operation of the diamond wheel sharpening machine, covering normal dressing, abnormal dressing, different working conditions, different tools and materials, environmental conditions and other conditions of the audio signals.

[0034] Preferably, the modification of the trimming process comprises:

[0035] Constructing a correction model; and correcting the real-time initial trimming parameters based on the correction model to obtain target trimming parameters; and making adjustments based on the target trimming parameters.

[0036] Preferably, the constructing of the correction model comprises:

[0037] The grinding wheel speed is marked as S, the dressing roller speed is marked as U, the step length is marked as L, and the number of step iterations is marked as N;

[0038] The corrected grinding wheel speed is calculated by the formula XS=S×A×e^tanh(S); wherein XS is the corrected grinding wheel speed and A is the proportional coefficient;

[0039] The corrected dressing roller speed is calculated by the formula XU=U×B / e^(U / (U+1)); wherein XU is the corrected dressing roller speed, and B is the proportionality coefficient;

[0040] The corrected step length is calculated by the formula XL=L×C / e^(L / (L+1)); wherein XL is the corrected step length and C is the proportionality coefficient;

[0041] By formula Calculate the corrected number of step iterations; where XN is the corrected number of step iterations, D is the proportional coefficient, Is the round-up symbol.

[0042] It should be noted that after the grinding wheel is worn, its diameter decreases, resulting in a decrease in the linear speed. In order to maintain a constant linear speed and ensure the stability of the grinding effect, the system should appropriately increase the rotation speed of the grinding wheel;

[0043] When the grinding wheel wears more severely, the contact area between the dressing roller and the grinding wheel decreases, which may lead to uneven dressing. In order to ensure the smoothness of the dressing process, the roller speed can be appropriately reduced to reduce the impact force during dressing and avoid excessive wear.

[0044] When the grinding wheel is worn, the surface may no longer be flat and the dressing effect may become uneven; by shortening the step length, the system can increase the fineness of the dressing, ensuring that each dressing can cover every area of ​​the grinding wheel to avoid omissions or excessive dressing;

[0045] If the grinding wheel is severely worn, a single dressing may not be able to fully restore its shape and surface quality; therefore, the system can appropriately increase the total number of dressing times to ensure that the ideal dressing effect is achieved after multiple fine adjustments of the grinding wheel.

[0046] Preferably, the correcting of the real-time initial trimming parameters based on the correction model includes:

[0047] The target trimming parameters are obtained by inputting the real-time initial trimming parameters into the correction model and performing corrections through the correction model.

[0048] Preferably, the adjustment based on the target trimming parameter includes:

[0049] The various actuators of the sharpening machine are configured based on the target dressing parameters; under the set target dressing parameters, the dressing roller resumes contact with the grinding wheel and performs a grinding operation.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] Existing sharpening machines usually adopt the method of repeated grinding with a grinding wheel. Under this operation mode, the grinding wheel and the diamond grinding wheel will contact and grind multiple times to achieve the purpose of dressing; but there are problems such as grinding wheel wear and uneven dressing, which lead to poor consistency of the sharpening effect and affect product quality; the present invention collects the morphology information of the diamond grinding wheel and the dressing roller in real time; generates initial dressing control parameters based on the morphology information; wherein the initial dressing control parameters include: grinding wheel speed, roller speed, step length and number of step iterations; and, starts the dressing process based on the initial dressing control parameters, and collects frequency domain data after the dressing roller moves a preset step length; judges whether there is an abnormality in the correction process based on the frequency domain data; if so, corrects the dressing process; if not, continuously monitors and judges, thereby solving the above problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A schematic diagram of a system module according to an embodiment of the present invention;

[0054] Figure 2 The figure is a schematic diagram of a specific process of an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1-Figure 2, the first aspect of the present invention provides a control system for a diamond grinding wheel sharpening machine, including: a data acquisition module, a data analysis module and a correction module;

[0057] Data acquisition module: used to collect the morphological information of diamond grinding wheel and dressing roller in real time;

[0058] Data analysis module: generating initial dressing control parameters based on the morphology information; wherein the initial dressing control parameters include: grinding wheel speed, roller speed, step length and number of step iterations; and,

[0059] Starting the dressing process based on the initial dressing control parameters and collecting frequency domain data after the dressing roller moves a preset step length;

[0060] Correction module: judge whether there is any abnormality in the correction process based on frequency domain data; if yes, correct the correction process; if not, continue to monitor and judge.

[0061] Real-time acquisition of topographic information of diamond grinding wheels and dressing rollers, including:

[0062] The morphological information of the diamond grinding wheel and the dressing roller is collected through the data acquisition equipment, including: surface roughness, shape characteristics and degree of grinding wheel wear.

[0063] Generate initial trimming control parameters based on topography information, including:

[0064] Integrate historical morphology information into standard input data, and integrate preset initial trimming control parameters corresponding to the historical morphology information into standard output data;

[0065] Training an artificial intelligence model based on standard input data and standard output data to obtain an initial trimming control parameter generation model; wherein the artificial intelligence model includes: a convolutional neural network or a deep belief network;

[0066] The real-time morphology information is input into the initial trimming control parameter generation model to obtain the initial trimming control parameters.

[0067] The dressing process is started based on the initial dressing control parameters, including:

[0068] Based on the grinding wheel speed, dressing roller speed, step length and step iteration number provided by the initial dressing parameter generation module, various actuators of the sharpening machine are configured; wherein the actuators include servo motors, cylinders, etc.;

[0069] Under the set parameters, the dressing roller starts to contact with the grinding wheel and the grinding operation is carried out.

[0070] Collect frequency domain data after the dressing roller moves a preset step length, including:

[0071] After each roller moves a preset step length, an audio signal generated during the trimming process is collected by an audio collection device; wherein the audio collection device includes: a microphone or an acoustic sensor;

[0072] The collected audio signal is converted into frequency domain data through Fourier transform; wherein the frequency domain data includes: frequency, amplitude, harmonic components, etc.

[0073] Based on the frequency domain data, determine whether the correction process is abnormal, including:

[0074] Extract preset standard frequency domain data;

[0075] The similarity between the frequency domain data and the preset standard frequency domain data is calculated by an audio similarity algorithm; wherein the audio similarity algorithm includes: a correlation coefficient or a Euclidean distance;

[0076] Determine whether the similarity is greater than a preset similarity threshold; if yes, it means that the trimming process is abnormal; if no, it means that the trimming process is normal.

[0077] Modifications to the trimming process include:

[0078] Constructing a correction model; and correcting the real-time initial trimming parameters based on the correction model to obtain target trimming parameters; and making adjustments based on the target trimming parameters.

[0079] Construct a revised model, including:

[0080] The grinding wheel speed is marked as S, the dressing roller speed is marked as U, the step length is marked as L, and the number of step iterations is marked as N;

[0081] The corrected grinding wheel speed is calculated by the formula XS=S×A×e^tanh(S); wherein XS is the corrected grinding wheel speed and A is the proportional coefficient;

[0082] The corrected dressing roller speed is calculated by the formula XU=U×B / e^(U / (U+1)); wherein XU is the corrected dressing roller speed, and B is the proportionality coefficient;

[0083] The corrected step length is calculated by the formula XL=L×C / e^(L / (L+1)); wherein XL is the corrected step length and C is the proportionality coefficient;

[0084] By formula Calculate the corrected number of step iterations; where XN is the corrected number of step iterations, D is the proportional coefficient, Is the round-up symbol.

[0085] Based on the correction model, the initial trimming parameters are corrected in real time, including:

[0086] The target trimming parameters are obtained by inputting the real-time initial trimming parameters into the correction model and performing corrections through the correction model.

[0087] Adjustments are made based on target trimming parameters, including:

[0088] The various actuators of the sharpening machine are configured based on the target dressing parameters; under the set target dressing parameters, the dressing roller resumes contact with the grinding wheel and performs a grinding operation.

[0089] For example, suppose you are using a diamond wheel sharpener to sharpen a kitchen knife. Here are the detailed steps and parameter adjustment process:

[0090] 1. Initial state;

[0091] Grinding wheel diameter: 200mm;

[0092] Grinding wheel wear degree: slight wear (about 5%);

[0093] Dressing roller material: ceramic;

[0094] Dressing roller shape: cylindrical;

[0095] Environmental conditions: temperature 25°C, humidity 50%;

[0096] 2. Data acquisition module: real-time collection of morphological information;

[0097] Surface roughness: measured by a laser rangefinder, it was found that the roughness of the grinding wheel surface was Ra0.8μm, indicating that the grinding wheel surface was relatively smooth with slight wear.

[0098] Shape features: The three-dimensional shape of the grinding wheel was obtained using a 3D scanner, and the diameter of the grinding wheel was identified to be 190 mm (10 mm less than the initial diameter due to wear), and the roundness error was within the range of ±0.1 mm.

[0099] Wear degree: By comparing the morphological data of the new and old grinding wheels, it is calculated that the wear amount of the grinding wheel is 10mm and the wear ratio is 5%.

[0100] 3. Data analysis module: generates initial trimming control parameters;

[0101] Grinding wheel speed: Based on the current diameter of the grinding wheel (190mm) and the degree of wear (5%), the system calculates the appropriate grinding wheel speed to be 2000rpm. This ensures a constant linear speed during the grinding process, thereby optimizing the grinding effect.

[0102] Dressing roller speed: According to the material (ceramic) and shape (cylindrical) of the roller, the system sets the roller speed to 1500rpm. This speed can ensure the smoothness and uniformity of the dressing process and avoid uneven dressing caused by too fast or too slow.

[0103] Step length: By analyzing the surface roughness (Ra0.8μm) and geometric features (diameter 190mm) of the grinding wheel, the system sets the distance the roller moves to 0.5mm each time it is dressed. This step length ensures that the dressing coverage is uniform and not overly concentrated in a certain area.

[0104] Number of step iterations: Based on the dressing target (ensuring a flat surface of the grinding wheel) and the condition of the grinding wheel (slight wear), the system sets the total number of dressing times to 10. This ensures that the grinding wheel achieves the ideal dressing effect after multiple fine adjustments.

[0105] 4. Start the trimming process;

[0106] Configure the actuators: Based on the above initial dressing control parameters, the system configures the various actuators of the sharpening machine (such as servo motors, cylinders, etc.). The grinding wheel rotates at 2000 rpm, the dressing roller runs at 1500 rpm, and the roller moves step by step according to the step length of 0.5 mm, and a total of 10 dressings are performed.

[0107] Dressing starts: The dressing roller contacts the grinding wheel and performs the grinding operation. At this time, the grinding wheel rotates at a speed of 2000 rpm, and the dressing roller moves step by step according to the step length of 0.5 mm to dress the grinding wheel surface.

[0108] 5. Audio data collection and frequency domain analysis;

[0109] Audio signal acquisition: Every time the dressing roller moves a preset step length (0.5mm), the system collects the audio signals generated during the dressing process through a microphone. These audio signals reflect the contact state between the grinding wheel and the roller, the grinding force, and the vibration during the dressing process.

[0110] Frequency domain conversion: The collected audio signal is converted into frequency domain data through Fourier transform. Frequency domain data includes frequency, amplitude, harmonic components, etc., which can more intuitively reflect the physical phenomena in the trimming process.

[0111] Similarity calculation: The system extracts preset standard frequency domain data (ideal trimming state established based on historical data and experimental results), and calculates the similarity between the frequency domain data and the standard frequency domain data through a correlation coefficient algorithm.

[0112] Abnormal judgment: Assume that the similarity is 0.95, and the preset similarity threshold is 0.98. Since the similarity is less than the threshold, the system judges that the dressing process is abnormal, which may be due to increased wear of the grinding wheel or excessive dressing load.

[0113] 6. Correction module: dynamically adjust the trimming parameters;

[0114] Constructing correction model: The system constructs a correction model based on the current state of the grinding wheel and abnormal conditions during the dressing process. The specific formula is as follows:

[0115] Corrected grinding wheel speed: XS = S × A × e^tanh (S);

[0116] Assuming the proportionality factor A = 1.1, then XS = 2200rpm. In order to maintain a constant linear speed, the system appropriately increases the rotation speed of the grinding wheel.

[0117] Corrected dressing roller speed: XU = U × B / e^ (U / (U + 1));

[0118] Assuming that the proportional coefficient B = 0.9, then XU = 1350rpm. In order to reduce the impact force during trimming, the system appropriately reduces the speed of the roller.

[0119] Corrected step length: XL = L × C / e^(L / (L + 1));

[0120] Assuming the proportional coefficient C = 0.8, XL = 0.4 mm. In order to increase the precision of trimming, the system appropriately shortens the step length.

[0121] Corrected number of stepping iterations:

[0122] Assuming that the proportional coefficient D = 1.2, then XN = 12 times. In order to ensure the trimming effect, the system appropriately increases the total number of trimming times.

[0123] 7. Restart the trimming process;

[0124] Configure actuators: Based on the corrected target dressing parameters (grinding wheel speed 2200 rpm, roller speed 1350 rpm, step length 0.4 mm, step iteration number 12 times), the system reconfigures the various actuators of the sharpening machine.

[0125] Continue dressing: The dressing roller starts to contact the grinding wheel again and the grinding operation is carried out. At this time, the grinding wheel rotates at a speed of 2200rpm, and the dressing roller moves step by step according to the step length of 0.4mm, and a total of 12 dressings are performed.

[0126] 8. Continuous monitoring and optimization;

[0127] Continuous collection of audio data: During the trimming process, the system continues to collect audio signals and performs frequency domain analysis and similarity calculation in real time.

[0128] Dynamic adjustment: If the subsequent audio similarity is still below the threshold, the system will continue to dynamically adjust the trimming parameters according to the actual situation until the trimming process returns to normal and achieves the ideal trimming effect.

[0129] Recording data: The system will record the relevant data of each trimming (such as audio features, trimming parameters, trimming effects, etc.), and perform data analysis and model optimization through machine learning algorithms. In this way, the system can continuously learn and improve trimming strategies, further improving trimming effects and efficiency.

[0130] Through the above examples, it can be seen that the control system of the present invention can collect the morphological information of the grinding wheel and the dressing roller in real time during the dressing process, generate the initial dressing control parameters, and judge whether there is an abnormality in the dressing process through the frequency domain analysis of the audio data. Once an abnormality is found, the system will automatically adjust the dressing parameters to ensure the consistency and quality stability of the dressing process. This intelligent control method not only improves production efficiency, but also significantly improves the quality of the product, and has broad application prospects and market value.

[0131] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0132] Working principle of the present invention:

[0133] The present invention collects the morphology information of the diamond grinding wheel and the dressing roller in real time; generates initial dressing control parameters based on the morphology information; wherein the initial dressing control parameters include: grinding wheel speed, roller speed, step length and number of step iterations; and, based on the initial dressing control parameters, starts the dressing process and collects the frequency domain data after the dressing roller moves a preset step length; judges whether the correction process is abnormal based on the frequency domain data; if so, corrects the dressing process; if not, continuously monitors and judges, thereby solving the problem that the existing sharpening machine usually adopts the method of repeated grinding of the grinding wheel. Under this operation mode, the grinding wheel and the diamond grinding wheel will contact and grind for many times to achieve the purpose of dressing; but there are problems such as grinding wheel wear and uneven dressing, which lead to poor consistency of the sharpening effect and affect the product quality.

[0134] The above embodiments are only used to illustrate the technical method 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 method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A control system for a diamond grinding wheel sharpening machine, characterized in that: include: Data acquisition module, data analysis module and correction module; Data acquisition module: used to collect the morphological information of diamond grinding wheel and dressing roller in real time; Data analysis module: generating initial dressing control parameters based on the morphology information; wherein the initial dressing control parameters include: grinding wheel speed, roller speed, step length and number of step iterations; and, Starting the dressing process based on the initial dressing control parameters and collecting frequency domain data after the dressing roller moves a preset step length; Correction module: judge whether there is any abnormality in the correction process based on frequency domain data; if yes, correct the correction process; if not, continue to monitor and judge.

2. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The real-time acquisition of the topographic information of the diamond grinding wheel and the dressing roller includes: The morphological information of the diamond grinding wheel and the dressing roller is collected through the data acquisition equipment, including: surface roughness, shape characteristics and degree of grinding wheel wear.

3. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The generating of initial trimming control parameters based on the morphology information comprises: Integrate historical morphology information into standard input data, and integrate preset initial trimming control parameters corresponding to the historical morphology information into standard output data; Training an artificial intelligence model based on standard input data and standard output data to obtain an initial trimming control parameter generation model; wherein the artificial intelligence model includes: a convolutional neural network or a deep belief network; The real-time morphology information is input into the initial trimming control parameter generation model to obtain the initial trimming control parameters.

4. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The starting of the trimming process based on the initial trimming control parameters comprises: Based on the grinding wheel speed, dressing roller speed, step length and step iteration number provided by the initial dressing parameter generation module, configure the various actuators of the sharpening machine; The dressing roller comes into contact with the grinding wheel and the grinding operation begins.

5. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The collecting of frequency domain data after the trimming roller moves a preset step length includes: After each roller moves a preset step length, an audio signal generated during the trimming process is collected by an audio collection device; wherein the audio collection device includes: a microphone or an acoustic sensor; The collected audio signal is converted into frequency domain data through Fourier transform.

6. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The determining whether an abnormality occurs in the correction process based on the frequency domain data includes: Extract preset standard frequency domain data; The similarity between the frequency domain data and the preset standard frequency domain data is calculated by an audio similarity algorithm; wherein the audio similarity algorithm includes: a correlation coefficient or a Euclidean distance; Determine whether the similarity is greater than a preset similarity threshold; if yes, it means that the trimming process is abnormal; if no, it means that the trimming process is normal.

7. A control system for a diamond wheel sharpening machine according to claim 1, characterized in that: The modification of the trimming process comprises: Constructing a correction model; and correcting the real-time initial trimming parameters based on the correction model to obtain target trimming parameters; and making adjustments based on the target trimming parameters.

8. A control system for a diamond wheel sharpening machine according to claim 7, characterized in that: The construction of the correction model comprises: The grinding wheel speed is marked as S, the dressing roller speed is marked as U, the step length is marked as L, and the number of step iterations is marked as N; The corrected grinding wheel speed is calculated by the formula XS=S×A×e^tanh(S); wherein XS is the corrected grinding wheel speed and A is the proportional coefficient; The corrected dressing roller speed is calculated by the formula XU=U×B / e^(U / (U+1)); wherein XU is the corrected dressing roller speed, and B is the proportionality coefficient; The corrected step length is calculated by the formula XL=L×C / e^(L / (L+1)); wherein XL is the corrected step length and C is the proportionality coefficient; By formula Calculate the corrected number of step iterations; where XN is the corrected number of step iterations, D is the proportional coefficient, Is the round-up symbol.

9. A control system for a diamond wheel sharpening machine according to claim 7, characterized in that: The method of correcting the real-time initial trimming parameters based on the correction model includes: The target trimming parameters are obtained by inputting the real-time initial trimming parameters into the correction model and performing corrections through the correction model.

10. A control system for a diamond wheel sharpening machine according to claim 7, characterized in that: The adjusting based on the target trimming parameters includes: The various actuators of the sharpening machine are configured based on the target dressing parameters; under the set target dressing parameters, the dressing roller resumes contact with the grinding wheel and performs a grinding operation.

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