A control system for a diamond grinding wheel sharpening machine

Abstract

This invention discloses a control system for a diamond grinding wheel sharpening machine, relating to the field of diamond grinding wheel sharpening machine control technology. It solves the technical problem that existing sharpening machines typically use repeated grinding with a grinding wheel, resulting in problems such as wheel wear and uneven dressing, leading to poor consistency in sharpening effects and affecting product quality. This invention acquires real-time morphological information of the diamond grinding wheel and dressing roller; generates initial dressing control parameters based on the morphological information; these initial dressing control parameters include: grinding wheel speed, roller speed, step length, and number of step iterations; and initiates the dressing process based on the initial dressing control parameters, acquiring frequency domain data after the dressing roller has moved a preset step length; and determines whether any abnormalities have occurred in the correction process based on the frequency domain data; if so, the dressing process is corrected; otherwise, continuous monitoring and judgment are performed, thus solving the aforementioned technical problems.

Description

Technical Field

[0001] This invention belongs to the field of control for diamond grinding wheel sharpening machines, specifically a control system for diamond grinding wheel sharpening machines. Background Technology

[0002] In the knife manufacturing and sharpening industry, diamond wheel sharpening machines are widely used for sharpening various knives (such as kitchen knives and scissors). Traditional diamond wheel sharpening machines typically rely on manual adjustments based on operator experience, which is not only inefficient but also makes it difficult to guarantee consistency and precision in each processing run. With the continuous development of automation technology and intelligent control systems, higher demands are being placed on diamond wheel sharpening machines, including improving production efficiency, ensuring product quality, and reducing labor intensity.

[0003] Existing sharpening machines typically employ repeated grinding with a grinding wheel. In this operation, the grinding wheel and the diamond grinding wheel make multiple contacts and grind each other to achieve the purpose of dressing. However, problems such as grinding wheel wear and uneven dressing exist, resulting in poor consistency of sharpening effect and affecting product quality.

[0004] Therefore, this invention proposes a control system for a diamond grinding 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 solves the technical problem that existing sharpening machines usually use repeated grinding of the grinding wheel. In this operation mode, the grinding wheel and the diamond grinding wheel will have multiple contacts and grinding to achieve the purpose of dressing. However, there are problems such as grinding wheel wear and uneven dressing, resulting in poor consistency of sharpening effect and affecting product quality.

[0006] To achieve the above objectives, a 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 real-time morphological information of diamond grinding wheels and dressing rollers;

[0008] Data analysis module: Generates initial dressing control parameters based on topographic information; these parameters include: grinding wheel speed, roller speed, step length, and number of step iterations; and...

[0009] The trimming process is started based on the initial trimming control parameters, and frequency domain data is collected after the trimming roller moves a preset step length.

[0010] Correction module: Based on frequency domain data, determine whether there is an anomaly in the correction process; if yes, correct the correction process; otherwise, continue monitoring and judgment.

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

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

[0013] It should be noted that the surface roughness mentioned refers to the measurement of the surface roughness of the grinding wheel and roller using a laser rangefinder or optical sensor to assess their wear.

[0014] The shape features are obtained by using a 3D scanner or profilometer to acquire the three-dimensional shape of the grinding wheel and roller and identify its geometric features (such as diameter, roundness, etc.).

[0015] The wear degree is calculated by comparing the morphology data of the new and old grinding wheels, providing a basis for subsequent adjustment of dressing parameters.

[0016] Preferably, the generation of initial trimming control parameters based on morphological information includes:

[0017] Historical morphology information is integrated into standard input data, and the preset initial trimming control parameters corresponding to historical morphology information are integrated into standard output data.

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

[0019] The real-time morphological 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 wear level of the grinding wheel to ensure a constant linear velocity during grinding, thereby optimizing the grinding effect. The roller speed is set according to the roller's material, shape, and contact characteristics 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 determine the distance the roller moves during each dressing operation, ensuring uniform dressing coverage without excessive concentration in a certain area. The number of step iterations is set according to the dressing target and the state of the grinding wheel to determine the total number of dressing operations, ensuring that the grinding wheel achieves the ideal dressing effect after multiple fine adjustments.

[0021] Preferably, the step of initiating the trimming process based on initial trimming control parameters includes:

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

[0023] Under the set parameters, the dressing roller begins to contact the grinding wheel and perform the grinding operation.

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

[0025] Preferably, the acquisition of frequency domain data after the trimming roller has moved a preset step length includes:

[0026] After each preset step length is moved by the roller, the audio signal generated during the trimming process is collected by an audio acquisition device, which includes a microphone or an acoustic sensor.

[0027] The acquired audio signal is converted into frequency domain data through Fourier transform; 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, the step of determining whether an anomaly has occurred in the correction process based on frequency domain data includes:

[0030] Extract the preset standard frequency domain data;

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

[0032] Determine if the similarity is greater than the preset similarity threshold; if yes, it indicates an abnormality in the trimming process; if no, it indicates 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, representing 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 grinding wheel sharpening machine, covering audio signals under various conditions such as normal dressing, abnormal dressing, different working conditions, different tools and materials, and environmental conditions.

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

[0035] Construct a correction model; and based on the correction model, correct the initial trimming parameters in real time to obtain the target trimming parameters; and make adjustments based on the target trimming parameters.

[0036] Preferably, the construction of the modified model includes:

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

[0038] The corrected grinding wheel speed is calculated using the formula XS=S×A×e^tanh(S); where XS is the corrected grinding wheel speed and A is the proportionality coefficient.

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

[0040] The corrected step length is calculated using the formula XL=L×C / e^(L / (L+1)); where XL is the corrected step length and C is the scaling factor.

[0041] Through formula The corrected step iteration count is calculated; where XN is the corrected step iteration count, and D is the scaling factor. It is the rounding up symbol.

[0042] It should be noted that as the grinding wheel wears, its diameter decreases, leading to a reduction in linear velocity. To maintain a constant linear velocity and ensure the stability of the grinding effect, the system should appropriately increase the grinding wheel's rotational speed.

[0043] When the grinding wheel wears out, 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 speed of the roller can be appropriately reduced to reduce the impact force during dressing and avoid excessive wear.

[0044] After the grinding wheel wears down, the surface may no longer be smooth, and the dressing effect may become uneven. By shortening the step length, the system can increase the fineness of dressing, ensuring that every area of ​​the grinding wheel is covered with each dressing, avoiding omissions or over-dressing.

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

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

[0047] By inputting the real-time initial trimming parameters into the trimming model and then performing the trimming through the trimming model, the target trimming parameters are obtained.

[0048] Preferably, the adjustment based on the target trimming parameters 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 the grinding operation.

[0050] Compared with the prior art, the beneficial effects of the present invention are:

[0051] Existing sharpening machines typically employ repeated grinding with a grinding wheel. This method involves multiple contacts and grinding processes between the grinding wheel and the diamond grinding wheel to achieve the desired dressing effect. However, this results in problems such as grinding wheel wear and uneven dressing, leading to inconsistent sharpening results and affecting product quality. This invention addresses these issues by real-time acquisition of the morphological information of the diamond grinding wheel and the dressing roller. Based on this information, initial dressing control parameters are generated. These parameters include the grinding wheel speed, the dressing roller speed, the step length, and the number of step iterations. The dressing process is initiated based on these parameters, and frequency domain data is collected after the dressing roller has moved a preset step length. The frequency domain data is used to determine if any abnormalities have occurred during the correction process. If so, the dressing process is corrected; otherwise, continuous monitoring and assessment are performed, thus resolving the aforementioned problems. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. 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.

[0053] Figure 1 This is a schematic diagram of the system modules according to an embodiment of the present invention;

[0054] Figure 2 This is a schematic diagram illustrating the specific process of an embodiment of the present invention. Detailed Implementation

[0055] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see Figures 1-2The 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;

[0057] Data acquisition module: used to collect real-time morphological information of diamond grinding wheels and dressing rollers;

[0058] Data analysis module: Generates initial dressing control parameters based on topographic information; these parameters include: grinding wheel speed, roller speed, step length, and number of step iterations; and...

[0059] The trimming process is started based on the initial trimming control parameters, and frequency domain data is collected after the trimming roller moves a preset step length.

[0060] Correction module: Based on frequency domain data, determine whether there is an anomaly in the correction process; if yes, correct the correction process; otherwise, continue monitoring and judgment.

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

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

[0063] Initial trimming control parameters are generated based on morphological information, including:

[0064] Historical morphology information is integrated into standard input data, and the preset initial trimming control parameters corresponding to historical morphology information are integrated into standard output data.

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

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

[0067] The trimming process is initiated based on the initial trimming control parameters, including:

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

[0069] Under the set parameters, the dressing roller begins to contact the grinding wheel and perform the grinding operation.

[0070] Collect frequency domain data after the trim roller has moved a preset step length, including:

[0071] After each preset step length is moved by the roller, the audio signal generated during the trimming process is collected by an audio acquisition device, which includes a microphone or an acoustic sensor.

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

[0073] Determining whether anomalies occur during the correction process based on frequency domain data includes:

[0074] Extract the preset standard frequency domain data;

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

[0076] Determine if the similarity is greater than the preset similarity threshold; if yes, it indicates an abnormality in the trimming process; if no, it indicates that the trimming process is normal.

[0077] The trimming process was revised, including:

[0078] Construct a correction model; and based on the correction model, correct the initial trimming parameters in real time to obtain the target trimming parameters; and make adjustments based on the target trimming parameters.

[0079] Constructing a revised model, including:

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

[0081] The corrected grinding wheel speed is calculated using the formula XS=S×A×e^tanh(S); where XS is the corrected grinding wheel speed and A is the proportionality coefficient.

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

[0083] The corrected step length is calculated using the formula XL=L×C / e^(L / (L+1)); where XL is the corrected step length and C is the scaling factor.

[0084] Through formula The corrected step iteration count is calculated; where XN is the corrected step iteration count, and D is the scaling factor. It is the rounding up symbol.

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

[0086] By inputting the real-time initial trimming parameters into the trimming model and then performing the trimming through the trimming model, the target trimming parameters are obtained.

[0087] Adjustments are made based on the 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 the grinding operation.

[0089] For example: Suppose we are using a diamond wheel sharpening machine to sharpen a kitchen knife, the following are the detailed steps and parameter adjustment process:

[0090] 1. Initial state;

[0091] Grinding wheel diameter: 200mm;

[0092] Grinding wheel wear level: Slight wear (approximately 5%);

[0093] Dressing roller material: ceramic;

[0094] Dressing roller shape: cylindrical;

[0095] Environmental conditions: Temperature 25℃, humidity 50%;

[0096] 2. Data acquisition module: Real-time acquisition of topographic information;

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

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

[0099] Wear degree: By comparing the morphology data of the new and old grinding wheels, the wear amount of the grinding wheel was calculated to be 10mm, and the wear ratio was 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 a suitable grinding wheel speed of 2000rpm. This ensures a constant linear velocity during grinding, thereby optimizing the grinding effect.

[0102] Dressing roller speed: Based on the roller's material (ceramic) and shape (cylindrical), the system sets the roller speed to 1500 rpm. This speed ensures the smoothness and uniformity of the dressing process, avoiding uneven dressing caused by being too fast or too slow.

[0103] Step length: By analyzing the surface roughness (Ra 0.8 μm) and geometry (diameter 190 mm) of the grinding wheel, the system is set to move the roller a distance of 0.5 mm per dressing cycle. This step length ensures even dressing coverage without excessive concentration in any one area.

[0104] Step iteration count: Based on the dressing goal (ensuring a smooth grinding wheel surface) and the condition of the grinding wheel (slight wear), the system sets the total number of dressing iterations to 10. This ensures that the grinding wheel achieves the desired dressing effect after multiple fine adjustments.

[0105] 4. Initiate the repair process;

[0106] Configure the actuators: Based on the initial dressing control parameters mentioned above, configure 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 in 0.5 mm increments, performing a total of 10 dressing cycles.

[0107] Start dressing: 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 in 0.5 mm increments to dress the surface of the grinding wheel.

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

[0109] Audio signal acquisition: After the dressing roller moves a preset step length (0.5mm), the system acquires the audio signals generated during the dressing process via 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 transformation: The acquired 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 the preset standard frequency domain data (an ideal trimmed 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 the correlation coefficient algorithm.

[0112] Anomaly detection: Assuming a similarity of 0.95, while the preset similarity threshold is 0.98, if the similarity is less than the threshold, the system determines that an anomaly has occurred in the dressing process, possibly due to accelerated wear of the grinding wheel or excessive dressing load.

[0113] 6. Correction Module: Dynamically adjusts trimming parameters;

[0114] Constructing a correction model: The system constructs a correction model based on the current state of the grinding wheel and any abnormal situations encountered 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 coefficient A = 1.1, then XS = 2200 rpm. To maintain a constant linear velocity, the system appropriately increases the rotational speed of the grinding wheel.

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

[0118] Assuming the proportional coefficient B = 0.9, then XU = 1350 rpm. To reduce the impact force during dressing, the system appropriately reduces the roller speed.

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

[0120] Assuming the scaling factor C = 0.8, then XL = 0.4 mm. To increase the precision of the trimming, the system appropriately shortens the step length.

[0121] Corrected step iteration count:

[0122] Assuming the scaling factor D = 1.2, then XN = 12 times. To ensure the trimming effect, the system appropriately increases the total number of trimmings.

[0123] 7. Restart the repair process;

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

[0125] Continue dressing: The dressing roller resumes contact with the grinding wheel and begins the grinding operation. At this time, the grinding wheel rotates at a speed of 2200 rpm, and the dressing roller moves step by step in increments of 0.4 mm, for a total of 12 dressing cycles.

[0126] 8. Continuous monitoring and optimization;

[0127] Continuous audio data acquisition: During the trimming process, the system continues to acquire 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 the ideal trimming effect is achieved.

[0129] Data Recording: The system records relevant data for each trimming step (such as audio features, trimming parameters, and trimming effects), and uses machine learning algorithms for data analysis and model optimization. This allows the system to continuously learn and improve its trimming strategies, further enhancing trimming effectiveness 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 dressing roller in real time during the dressing process, generate initial dressing control parameters, and determine whether any abnormalities occur in the dressing process through frequency domain analysis of audio data. Once an abnormality is detected, 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 enhances product quality, and has broad application prospects and market value.

[0131] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0132] Working principle of the invention:

[0133] This invention acquires real-time morphological information of the diamond grinding wheel and dressing roller; generates initial dressing control parameters based on the morphological information; the initial dressing control parameters include: grinding wheel speed, roller speed, step length, and number of step iterations; and initiates the dressing process based on the initial dressing control parameters, and acquires 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 yes, the dressing process is corrected; if no, continuous monitoring and judgment are performed. This solves the problem that existing sharpening machines usually use repeated grinding of the grinding wheel. In this operation mode, the grinding wheel and diamond grinding wheel will have multiple contacts and grinding to achieve the purpose of dressing; however, there are problems such as grinding wheel wear and uneven dressing, resulting in poor consistency of sharpening effect and affecting product quality.

[0134] The above embodiments are only used to illustrate the technical methods 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 methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A control system for a diamond wheel dresser, characterized by, Comprise: Data acquisition module, data analysis module and correction module; Data acquisition module: for real-time acquisition of diamond grinding wheel and dressing roller topography information; Data analysis module: based on topography information to generate initial dressing control parameters; wherein, the initial dressing control parameters include: grinding wheel speed, roller speed, step length and step iteration number; and, Based on the initial dressing control parameters to start the dressing process, and collect the frequency domain data after the dressing roller moves a preset step length; Correction module: based on the frequency domain data to determine whether the correction process is abnormal; yes, then correct the dressing process; no, then continue to monitor and determine; Said to correct the dressing process, including: Constructing a correction model; and correcting the real-time initial dressing parameters based on the correction model to obtain target dressing parameters; adjusting based on the target dressing parameters; Said constructing a correction model, including: Mark the grinding wheel speed as S, the dressing roller speed as U, the step length as L, and the step iteration number as N; The modified grinding wheel speed is calculated by the formula XS=S×A×e^tanh(S); wherein, XS is the modified grinding wheel speed, and A is the proportional coefficient; The modified dressing roller speed is calculated by the formula XU=U×B / e^(U / (U+1)); wherein, XU is the modified dressing roller speed, and B is the proportional coefficient; The modified step length is calculated by the formula XL=L×C / e^(L / (L+1)); wherein, XL is the modified step length, and C is the proportional coefficient; The modified step iteration number is calculated by the formula XN=⌈N×D×e^tanh(N)⌉; wherein, XN is the modified step iteration number, D is the proportional coefficient, and ⌈⌉ is the upward rounding symbol.

2. The control system for the diamond wheel dressing machine according to claim 1, wherein, Said real-time acquisition of diamond grinding wheel and dressing roller topography information, including: Collecting the topography information of the diamond grinding wheel and the dressing roller through a data acquisition device; wherein, including: surface roughness, shape characteristics and grinding wheel wear degree.

3. The control system for the diamond wheel dressing machine according to claim 1, wherein, Said based on topography information to generate initial dressing control parameters, including: Integrate historical topography information into standard input data, and integrate the preset initial dressing control parameters corresponding to the historical topography information into standard output data; Train an artificial intelligence model based on the standard input data and the standard output data to obtain an initial dressing control parameter generation model; wherein, the artificial intelligence model includes: convolutional neural network or deep belief network; Input real-time topography information into the initial dressing control parameter generation model to obtain the initial dressing control parameters.

4. The control system for the diamond wheel dressing machine according to claim 1, wherein, Said based on the initial dressing control parameters to start the dressing process, including: Based on the grinding wheel speed, the dressing roller speed, the step length and the step iteration number provided by the initial dressing parameter generation module, configure each actuator of the sharpener; The dressing roller starts to contact with the grinding wheel and performs grinding operation.

5. The control system for the diamond wheel dresser according to claim 1, wherein Said collecting the frequency domain data after the dressing roller moves a preset step length, including: After each time the roller moves a preset step length, collect the audio signal generated in the dressing process through an audio acquisition device; wherein, the audio acquisition device includes: microphone or acoustic sensor; The collected audio signal is converted into frequency domain data by Fourier transform.

6. The control system for the diamond wheel dresser according to claim 1, wherein The method comprises: Extracting 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 comprises a correlation coefficient or a Euclidean distance; If the similarity is greater than a preset similarity threshold, it indicates that the modification process is abnormal; otherwise, it indicates that the modification process is normal.

7. The control system for the diamond wheel dresser according to claim 1, wherein The method comprises: The real-time initial modification parameter is input into the correction model, and the target modification parameter is obtained by correction through the correction model.

8. The control system for the diamond wheel dresser according to claim 1, wherein, The method comprises: Each actuator of the blade opening machine is configured based on the target modification parameter; under the set target modification parameter, the modification roller re-starts contact with the grinding wheel and performs grinding operation.

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