Parameter automatic guiding method and device for laser cutting numerical control system

Abstract

The application relates to a kind of parameter automatic guiding method and device of laser cutting numerical control system, method includes: according to the sample cutting effect picture of current plate to be processed, obtain the pre-stored sample picture matched with sample cutting effect picture;According to the cutting parameter of sample cutting effect picture, the cutting parameter of pre-stored sample picture, the optimal cutting parameter of belonging sample is generated using parameter fusion strategy;The cutting parameter of pre-stored sample picture is the best cutting parameter of pre-processing;According to the optimal cutting parameter, the sample of current plate to be processed is cut, and new sample cutting effect picture is obtained;Judge whether new sample cutting effect picture satisfies cutting demand, if it satisfies, then the optimal cutting parameter is used as the cutting parameter of plate to be processed.The method of the application is simple and fast, and the optimal cutting parameter of plate to be processed can be obtained in the shortest time, to ensure the cutting quality of plate to be processed.

Description

Technical Field

[0001] This invention relates to laser processing technology, and more particularly to an automatic parameter guidance method and apparatus for a laser cutting CNC system. Background Technology

[0002] Laser processing, as a highly efficient, flexible, and non-contact processing method, is increasingly widely used in manufacturing. Processing efficiency and processing quality are two crucial indicators pursued by manufacturing enterprises. To ensure processing quality, most companies rely on consulting manuals or trial cuts based on experience to select cutting solutions. This approach makes it difficult to simultaneously achieve product quality, processing efficiency, and energy utilization in the production process. How to optimize laser processing parameters to improve product quality and processing efficiency without increasing energy consumption is a pressing issue that needs to be addressed.

[0003] Currently, methods for optimizing laser cutting process parameters can be divided into two main categories. The first is trial cutting by operators based on experience, which requires a high level of expertise from the operators, necessitating a certain level of knowledge in materials, optics, and fluid dynamics. The second is machine learning-based optimization methods. These methods learn the coupling relationship between laser cutting process parameters and optimization objectives through machine learning models. However, this method has a long development cycle, and its optimization results often only achieve optimal performance in a specific aspect of processing quality, making it difficult to consider the overall processing effect. Therefore, there is a need to invent a simple and efficient automatic parameter guidance method for laser cutting CNC systems. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an automatic parameter guidance method and device for a laser cutting CNC system.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the main technical solutions adopted by the present invention include:

[0008] In a first aspect, embodiments of the present invention provide an automatic parameter guidance method for a laser cutting CNC system, comprising:

[0009] Based on the sample cutting effect diagram of the current material sample to be processed, obtain a pre-stored sample image that matches the sample cutting effect diagram;

[0010] Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed. The cutting parameters of the pre-stored sample image include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the original cutting parameters, optimization formula for optimizing the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimal cutting parameters with adjustment amount.

[0011] The current sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image;

[0012] Determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, then use the cutting parameters that meet the cutting requirements as the cutting parameters for the material to be processed.

[0013] In a first alternative implementation of the first aspect, the method further includes:

[0014] If the new sample cutting effect image does not meet the cutting requirements, repeat the steps of obtaining a pre-stored sample image that matches the sample cutting effect image based on the current sample cutting effect image of the board to be processed, until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements will be used as the cutting parameters of the board to be processed.

[0015] Among them, the cutting parameters that meet the cutting requirements include: the cutting parameters to which the final sample cutting effect image belongs;

[0016] Alternatively, the cutting parameters that meet the cutting requirements include: the cutting parameters of the qualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image;

[0017] Alternatively, the cutting parameters that meet the cutting requirements include: the cutting parameters of the unqualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image.

[0018] In the second optional implementation of the first aspect, based on the sample cutting effect diagram of the current material sample to be processed, a pre-stored sample image matching the sample cutting effect diagram is obtained, including:

[0019] Based on the sample cutting effect diagram of the current material to be processed and the basic information of the material to be processed, select a sample image that matches the basic information of the material to be processed from the pre-stored sample library.

[0020] Based on the selected sample image and the sample cutting effect image, obtain a pre-stored sample image that matches the sample cutting effect image; the pre-stored sample image is one of the selected sample images;

[0021] The basic information of the sheet material to be processed includes: thickness and / or material.

[0022] Of course, in practical applications, if the pre-stored sample library contains samples that are consistent with the basic information of the board to be processed, then there is no need to perform the above-mentioned step of selecting a sample image from the pre-stored sample library that is consistent with the basic information of the board to be processed.

[0023] In the third optional implementation of the first aspect, before obtaining a pre-stored sample image matching the sample cutting effect image based on the sample cutting effect image of the current material to be processed, the method further includes:

[0024] In response to the user's sample cutting command, the sample of the board to be processed is cut based on the initial cutting parameters triggered by the user, and the cutting effect image of the sample is obtained.

[0025] The initial cutting parameters are used as the cutting parameters for the sample cutting effect diagram after cutting.

[0026] In the fourth optional implementation of the first aspect, the initial cutting parameters include: the thickness of the plate to be processed, the material of the plate to be processed, the cutting speed, and the cutting focus;

[0027] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, and the cutting speed;

[0028] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, and the cutting height;

[0029] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, the cutting air pressure, the cutting height, the cutting gas, the nozzle type, and the cutting method.

[0030] In the fifth optional implementation of the first aspect, a pre-stored sample library is constructed, which includes sample images of multiple plates to be processed with different thicknesses and materials, i.e., pre-stored sample images.

[0031] The pre-stored sample library includes: qualified sample images and / or unqualified sample images; the qualified sample images are images that meet the cutting requirements after the sample is cut; the unqualified sample images are images that do not meet the cutting requirements after the sample is cut.

[0032] For example, the qualified sample image is an image of the cut surface of the sample after cutting that meets the cutting requirements; the unqualified sample image is an image of the cut surface of the sample after cutting that does not meet the cutting requirements; in other implementations, the cutting requirements can also be determined by the image of the back side of the cut sample, etc.

[0033] When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image.

[0034] When the pre-stored sample image is a non-qualified sample image, i.e., a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, adjustment amount for adjusting the parameter items corresponding to one or more defective features in the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimization formula for optimizing the original cutting parameters.

[0035] The original cutting parameters are the cutting parameters used when generating the non-compliant sample image.

[0036] In the sixth optional implementation of the first aspect, before obtaining a pre-stored sample image matching the sample cutting effect image based on the sample cutting effect image of the current material sample to be processed, the method further includes:

[0037] Construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials;

[0038] The sample images include: qualified sample images and unqualified sample images, i.e., sample images with defective features; or, the sample images include only: qualified sample images; or, the sample images include only: unqualified sample images, i.e., sample images with defective features.

[0039] The qualified sample image is an image of the sample cut to meet the cutting requirements; the unqualified sample image is an image of the sample cut to fail to meet the cutting requirements; the image here can be an image of the cut surface or an image of the cut back side, etc.

[0040] When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image.

[0041] When the pre-stored sample image is a non-qualified sample image, i.e., a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, adjustment amount for adjusting the parameter items corresponding to one or more defective features in the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimization formula for optimizing the original cutting parameters.

[0042] The original cutting parameters are the cutting parameters used when cutting non-conforming sample images.

[0043] In the seventh optional implementation of the first aspect, based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including:

[0044] The cutting parameters of each sample image in the pre-stored sample image are the optimal cutting parameters, and the cutting parameters are definite values.

[0045] Replace the corresponding value in the cutting parameters of the sample cutting effect image by selecting one or more parameter values ​​from the cutting parameters of the pre-stored sample image; generate the optimal cutting parameters.

[0046] Alternatively, the value of the cutting parameter to which the pre-stored sample image belongs can be directly used as the value of the optimal cutting parameter;

[0047] Alternatively, based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low; the top n parameters are selected as the parameters to be adjusted, and the parameter values ​​of n parameters are selected from the cutting parameters of the pre-stored sample image to replace the values ​​at the corresponding positions in the cutting parameters of the sample cutting effect image; the optimal cutting parameters are generated, where n is a positive integer greater than or equal to 1.

[0048] Alternatively, the cutting parameters of the sample cutting effect diagram can be used as the optimal cutting parameters for the sample to be processed, and the parameter guidance can be terminated; and the sample cutting effect diagram and the cutting parameters of the sample cutting effect diagram can be stored in the pre-stored sample library.

[0049] In the eighth optional implementation of the first aspect, based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including:

[0050] The optimal cutting parameters were obtained by using orthogonal experiments;

[0051] Alternatively, based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low; the top n parameters are selected as the parameters to be adjusted, and j parameters are selected from the cutting parameters of the pre-stored sample image using a permutation and combination method to replace the corresponding values ​​in the cutting parameters of the sample cutting effect image; multiple first cutting parameters are generated, the number of which is C. n j ;j∈n, where n is a positive integer greater than 1;

[0052] Each first cutting parameter is taken as the optimal cutting parameter.

[0053] Accordingly, the sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image, including:

[0054] The sample cutting effect image for each first cutting parameter is obtained by traversal, and the cutting effect image that meets the cutting requirements is selected from the sample cutting effect images for each first cutting parameter.

[0055] If none of the cutting requirements are met, the optimal sample cutting effect image is selected from all the sample cutting effect images of the first cutting parameters. This optimal sample cutting effect image is used as the sample cutting effect image of the current material to be processed. The process of obtaining a pre-stored sample image that matches the sample cutting effect image of the current material to be processed is repeated until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed.

[0056] In the ninth optional implementation of the first aspect, based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including:

[0057] The cutting parameters of the sample cutting effect image are X1 (cutting speed), X2 (cutting focus), and X3 (cutting air pressure). The cutting parameters of the pre-stored sample image matching the sample cutting effect image are Y1 (cutting speed), Y2 (cutting focus), and Y3 (cutting air pressure). Therefore, the optimal cutting parameters for the sample to be processed are X1+Y1 (cutting speed), X2+Y2 (cutting focus), and X3+Y3 (cutting air pressure); or, the optimal cutting parameters for the sample to be processed are X1+k*Y1 (cutting speed), X2+k*Y2 (cutting focus), and X3+k*Y3 (cutting air pressure). k is the similarity coefficient selected by the user, where 0 is greater than or equal to k and less than or equal to 1.5.

[0058] In the tenth optional implementation of the first aspect, based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including:

[0059] The pre-stored sample library in this embodiment includes non-qualified sample images, and the cutting parameters to which the sample images belong include: original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimal cutting parameters with adjustment amount;

[0060] If the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, i.e. a sample image with cutting defect characteristics, then the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image, and the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters.

[0061] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed; otherwise, the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters.

[0062] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image. The adjusted cutting parameters are then used to cut the current sample to be processed to obtain a new sample cutting effect image, and the process of matching the new sample cutting effect image with the pre-stored sample image is repeated.

[0063] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, then the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed. Otherwise, the adjustment amount in the cutting parameters of the non-compliant sample image is used again to adjust the cutting parameters of the sample cutting effect image until the adjusted cutting parameters match the cutting parameters of the compliant sample image. Alternatively, after m adjustments, the non-matching cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters, where m is a natural number greater than 3.

[0064] In the eleventh optional implementation of the first aspect, determining whether the new sample cutting effect image meets the cutting requirements includes:

[0065] If the new sample cutting effect image matches the qualified sample image in the pre-stored sample images, it is determined that the cutting requirements are met, and the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed; the cutting parameters that meet the cutting requirements are the cutting parameters of the new sample cutting effect image or the cutting parameters of the qualified sample image.

[0066] Alternatively, if the new sample cutting effect diagram meets the specified cutting surface standard, it is determined to meet the cutting requirements; or, if the new sample cutting effect diagram meets the manually specified standard, it is determined to meet the cutting requirements.

[0067] In the twelfth alternative implementation of the first aspect, the step of generating the optimal cutting parameters for the sample to be processed using a parameter fusion strategy includes:

[0068] The optimal cutting parameters are displayed on the user interface;

[0069] Alternatively, the operation interface may display the adjustment amount, original value and / or final value of one or more parameter items; the display may be the adjustment amount, original value and / or final value of one or more parameter items in the initial cutting parameters of the sample cutting effect diagram, or the display may be the cutting parameters of a pre-saved sample image matched with the sample cutting effect diagram, the adjustment amount, original value and / or final value of one or more parameter items.

[0070] Alternatively, the operation interface can display the optimization formula, original value and / or final value of more than one parameter item; the display here can be the adjustment amount of more than one parameter item in the initial cutting parameters of the sample cutting effect diagram, the original value of more than one parameter item and / or the final data after adjustment, or the display here can be the cutting parameters of the pre-stored sample image matched with the sample cutting effect diagram, the adjustment amount of more than one parameter item, the original value of more than one parameter item and / or the final data after adjustment.

[0071] Alternatively, all the displayed parameter information can be stored.

[0072] Alternatively, the operation interface may display a sample cutting effect diagram and a matching pre-saved sample diagram, along with a prompt message that includes at least one of the following: pass / fail information, cutting parameter information of the pre-saved sample diagram, and adjustment process information or final adjustment information of the sample cutting effect diagram.

[0073] Alternatively, the operation interface may display a matching pre-stored sample image and prompt information, which may include at least one of the following: pass / fail information, cutting parameter information of the pre-stored sample image, and adjustment process information or final adjustment information of the sample cutting effect image.

[0074] In a thirteenth alternative implementation of the first aspect, the method further includes:

[0075] The cutting effect diagram of the sample that meets the cutting requirements, the original cutting parameters, the optimal cutting parameters and / or adjustment amount / optimization formula described in the cutting effect diagram are saved in the pre-stored sample library.

[0076] Secondly, embodiments of the present invention also provide an automatic parameter guidance device for a laser cutting CNC system, comprising:

[0077] The first acquisition unit is used to acquire a pre-stored sample image that matches the sample cutting effect image of the current material to be processed.

[0078] The parameter fusion unit is used to generate the optimal cutting parameters for the sample to be processed based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, using a parameter fusion strategy. The cutting parameters of the pre-stored sample image include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the original cutting parameters, optimization formula for optimizing the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimal cutting parameters with adjustment amount.

[0079] The second acquisition unit is used to cut the sample of the current board to be processed according to the optimal cutting parameters and acquire a new sample cutting effect image.

[0080] The judgment unit is used to determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, the cutting parameters that meet the cutting requirements will be used as the cutting parameters of the material to be processed.

[0081] In a first alternative implementation of the second aspect, the method further includes:

[0082] The cutting parameter determination unit is used to repeat the process of obtaining a pre-stored sample image that matches the current sample cutting effect image of the board to be processed when the new sample cutting effect image does not meet the cutting requirements, until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters of the board to be processed.

[0083] Among them, the cutting parameters that meet the cutting requirements include: the cutting parameters to which the final sample cutting effect image belongs;

[0084] Alternatively, the cutting parameters that meet the cutting requirements include: the cutting parameters of the qualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image;

[0085] Alternatively, the cutting parameters that meet the cutting requirements include: the cutting parameters (such as the optimal cutting parameters) of the unqualified sample image in the pre-stored sample image that match the final obtained sample cutting effect image.

[0086] In the second optional implementation of the second aspect, the first acquisition unit is specifically used for:

[0087] Based on the sample cutting effect diagram of the current material to be processed and the basic information of the material to be processed, select a sample image that matches the basic information of the material to be processed from the pre-stored sample library.

[0088] Based on the selected sample image and the sample cutting effect image, obtain a pre-stored sample image that matches the sample cutting effect image; the pre-stored sample image is one of the selected sample images;

[0089] The basic information of the sheet material to be processed includes: thickness and / or material.

[0090] In the third optional implementation of the second aspect, the device further includes: a sample cutting effect image acquisition unit, used to respond to the user's sample cutting command, cut the sample of the board to be processed based on the initial cutting parameters triggered by the user, and obtain the sample cutting effect image after cutting.

[0091] The initial cutting parameters are used as the cutting parameters for the sample cutting effect diagram after cutting.

[0092] In the fourth optional implementation of the second aspect, the initial cutting parameters include: the thickness of the sheet material to be processed, the material of the sheet material to be processed, the cutting speed, and the cutting focus;

[0093] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, and the cutting speed;

[0094] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, and the cutting height;

[0095] Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, the cutting air pressure, the cutting height, the cutting gas, the nozzle type, and the cutting method.

[0096] In the fifth optional implementation of the second aspect, the device further includes: a pre-stored sample image construction unit, specifically used to construct a pre-stored sample library, the pre-stored sample library including sample images of multiple plates to be processed with different thicknesses and different materials, i.e., pre-stored sample images.

[0097] The pre-stored sample library includes: qualified sample images and / or unqualified sample images; the qualified sample images are images that meet the cutting requirements after the sample is cut; the unqualified sample images are images that do not meet the cutting requirements after the sample is cut.

[0098] For example, the qualified sample image is an image of the cut surface of the sample after cutting, which meets the cutting requirements; the unqualified sample image is an image of the cut surface of the sample after cutting, which does not meet the cutting requirements; other methods may also include images of the cut back side, etc.

[0099] When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image.

[0100] When the pre-stored sample image is a non-qualified sample image, i.e., a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, adjustment amount for adjusting the parameter items corresponding to one or more defective features in the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimization formula for optimizing the original cutting parameters.

[0101] The original cutting parameters are the cutting parameters used when cutting non-conforming sample images.

[0102] In the sixth optional implementation of the second aspect, the parameter fusion unit is specifically used to: the cutting parameters of each sample image in the pre-stored sample image are the optimal cutting parameters, and the cutting parameters are determined values; select one or more parameter values ​​from the cutting parameters to which the pre-stored sample image belongs to replace the values ​​at the corresponding positions in the cutting parameters to which the sample cutting effect image belongs; and generate the optimal cutting parameters.

[0103] Alternatively, the value of the cutting parameter to which the pre-stored sample image belongs can be directly used as the value of the optimal cutting parameter;

[0104] Alternatively, based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low; the top n parameters are selected as the parameters to be adjusted, and the parameter values ​​of n parameters are selected from the cutting parameters of the pre-stored sample image to replace the values ​​at the corresponding positions in the cutting parameters of the sample cutting effect image; the optimal cutting parameters are generated, where n is a positive integer greater than or equal to 1.

[0105] Alternatively, the cutting parameters of the sample cutting effect diagram can be used as the optimal cutting parameters for the sample to be processed, and the parameter guidance can be terminated; and the sample cutting effect diagram and the cutting parameters of the sample cutting effect diagram can be stored in the pre-stored sample library.

[0106] In the seventh optional implementation of the second aspect, the parameter fusion unit is specifically used to obtain the optimal cutting parameters by means of orthogonal experimentation.

[0107] Alternatively, based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low; the top n parameters are selected as the parameters to be adjusted, and j parameters are selected from the cutting parameters of the pre-stored sample image using a permutation and combination method to replace the corresponding values ​​in the cutting parameters of the sample cutting effect image; multiple first cutting parameters are generated, the number of which is C. n j ;j∈n, where n is a positive integer greater than 1;

[0108] Each first cutting parameter is taken as the optimal cutting parameter.

[0109] Accordingly, the sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image, including:

[0110] The sample cutting effect image for each first cutting parameter is obtained by traversal, and the cutting effect image that meets the cutting requirements is selected from the sample cutting effect images for each first cutting parameter.

[0111] If none of the cutting requirements are met, the optimal sample cutting effect image is selected from all the sample cutting effect images of the first cutting parameters. This optimal sample cutting effect image is used as the sample cutting effect image of the current material to be processed. The process of obtaining a pre-stored sample image that matches the sample cutting effect image of the current material to be processed is repeated until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed.

[0112] In the eighth optional implementation of the second aspect, the parameter fusion unit is specifically used to: If the cutting speed parameter of the sample cutting effect image is X1, the cutting focus parameter is X2, and the cutting air pressure parameter is X3, and the cutting speed parameter of the pre-stored sample image matching the sample cutting effect image is Y1, the cutting focus parameter is Y2, and the cutting air pressure parameter is Y3, then the optimal cutting parameters for the sample to be processed are X1+Y1, X2+Y2, and X3+Y3; or, the optimal cutting parameters for the sample to be processed are X1+k*Y1, X2+k*Y2, and X3+k*Y3; where k is the similarity coefficient selected by the user, and 0 is greater than or equal to k and less than or equal to 1.5.

[0113] In the ninth optional implementation of the second aspect, the parameter fusion unit is specifically used to adjust the cutting parameters of the sample cutting effect image if the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, i.e. a sample image with cutting defect characteristics, by using the adjustment amount in the cutting parameters to which the non-qualified sample image belongs, and displaying the adjusted cutting parameters so that the operator can make a judgment based on the displayed cutting parameters.

[0114] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed; otherwise, the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters.

[0115] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image. The adjusted cutting parameters are then used to cut the current sample to be processed to obtain a new sample cutting effect image, and the process of matching the new sample cutting effect image with the pre-stored sample image is repeated.

[0116] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, then the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed. Otherwise, the adjustment amount in the cutting parameters of the non-compliant sample image is used again to adjust the cutting parameters of the sample cutting effect image until the adjusted cutting parameters match the cutting parameters of the compliant sample image. Alternatively, after m adjustments, the non-matching cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters, where m is a natural number greater than 3.

[0117] Optionally, the adjusted cutting parameters are matched with the cutting parameters of the qualified sample image, including:

[0118] The values ​​of the top n most important parameters in the adjusted parameters are matched with the values ​​of the same parameters in the cutting parameters of the qualified sample image to determine whether they are within the error range. For example, the thickness with the first importance, the material with the second importance, the cutting speed with the third importance, and the cutting focus with the fourth importance are matched.

[0119] In the tenth optional implementation of the second aspect, the judgment unit is specifically used to determine whether the new sample cutting effect image matches the qualified sample image in the pre-stored sample image, and thus the cutting requirements are met. The cutting parameters that meet the cutting requirements are then used as the cutting parameters of the plate to be processed. The cutting parameters that meet the cutting requirements are either the cutting parameters of the new sample cutting effect image or the cutting parameters of the qualified sample image.

[0120] Alternatively, if the new sample cutting effect diagram meets the specified cutting surface standard, it is determined to meet the cutting requirements; or, if the new sample cutting effect diagram meets the manually specified standard, it is determined to meet the cutting requirements.

[0121] In the eleventh optional implementation of the second aspect, a display unit is also included, which is used to display the optimal cutting parameters on the operation interface;

[0122] Alternatively, the operation interface may display the adjustment amount, original value and / or final value of one or more parameter items; the display may be the adjustment amount of one or more parameter items in the sample cutting effect diagram, the original value and / or final value of one or more parameter items in the sample cutting effect diagram, or the adjustment amount of one or more parameter items in the sample image that matches the sample cutting effect diagram, the original value and / or final value of one or more parameter items in the matching sample image.

[0123] Alternatively, the operation interface can display the optimization formula, original value and / or optimized final value of one or more parameter items; the display can be the optimization formula of one or more parameter items of the sample cutting effect diagram, the original value and / or optimized final value of one or more parameter items of the sample cutting effect diagram, or the optimization formula of one or more parameter items of the sample image that matches the sample cutting effect diagram, the original value and / or optimized final value of one or more parameter items of the matched sample image;

[0124] Alternatively, all the displayed parameter information can be stored.

[0125] Alternatively, the operation interface may display a sample cutting effect diagram and a matching pre-saved sample diagram, along with a prompt message that includes at least one of the following: pass / fail information, cutting parameter information of the pre-saved sample diagram, and adjustment process information or final adjustment information of the sample cutting effect diagram.

[0126] Alternatively, the operation interface may display a matching pre-stored sample image and prompt information, which may include at least one of the following: pass / fail information, cutting parameter information of the pre-stored sample image, and adjustment process information or final adjustment information of the sample cutting effect image.

[0127] Thirdly, embodiments of the present invention also provide a laser numerical control system, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting numerical control system as described in any of the first aspects above.

[0128] Fourthly, embodiments of the present invention also provide a computing device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting CNC system as described in any of the first aspects above.

[0129] (III) Beneficial Effects

[0130] The method of this invention can solve the problems of inconsistent cutting effects for plates of the same material and thickness in the prior art, as well as the drawbacks of complex operation and high cost. In this embodiment, by comparing the cutting effect diagram of the sample with a pre-prepared sample image, the optimal cutting parameters for the plate sample to be processed are generated based on the cutting parameters of the sample image and the cutting effect diagram, and the sample is then cut. This allows for the rapid and effective acquisition of the optimal cutting parameters for the plate sample to be processed, ensuring the cutting quality of the plate. Furthermore, it is operable by any user, requiring no experienced operators, and also improves speed.

[0131] In other words, the method of this invention reduces reliance on debugging experience, lowers the product operation threshold, and allows users to balance both cutting effect and processing efficiency. Attached Figure Description

[0132] Figure 1 This is a flowchart illustrating an automatic parameter guidance method for a laser cutting CNC system according to an embodiment of the present invention.

[0133] Figure 2 A flowchart illustrating an automatic parameter guidance method for a laser cutting CNC system according to another embodiment of the present invention;

[0134] Figure 3 This is a flowchart illustrating an automatic parameter guidance device for a laser cutting CNC system according to an embodiment of the present invention.

[0135] Figure 4 This is a schematic diagram showing the sample images and names in the pre-stored sample library;

[0136] Figure 5 A schematic diagram of cutting parameters for sample images with defect features in a pre-stored sample library;

[0137] Figure 6 This is a schematic diagram of an orthogonal array exemplified in an embodiment of the present invention;

[0138] Figure 7A A schematic diagram of a non-conforming sample provided in an embodiment of the present invention;

[0139] Figure 7B This is a schematic diagram illustrating a non-conforming sample as exemplified in an embodiment of the present invention. Detailed Implementation

[0140] To better explain and facilitate understanding of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0141] For better understanding, the plates to be processed and the samples of the plates to be processed in this application are plates of the same material and thickness, and their processing methods are the same.

[0142] To process the material to be processed using optimal cutting parameters, a sample of the same material and thickness as the material to be processed can be pre-processed before actual processing. Each sample cutting effect image is a direct result of the cutting surface of the sample after cutting / processing. For example, if the sample is a cutting hole, the sample cutting effect image is a cutting effect image of the inner cross-section of the cutting hole. In this application, at least one sample is cut at least once to obtain the optimal cutting parameters, which are then applied to laser cutting technology to achieve rapid and automated selection of the optimal cutting parameters to ensure the processing effect of the material to be processed. This saves on the drawbacks of manual recording and operational errors, lowers the operational threshold, and balances processing efficiency.

[0143] Furthermore, the pre-stored sample images in this application are all pre-stored sample images processed with the same material and thickness as the current sample. Before implementing the technical solution of this application, samples of various materials and thicknesses can be processed with various cutting parameters to obtain a sample image of a specific cutting parameter for each sample. These sample images are associated with and stored along with the cutting parameters, material, and thickness of each sample image. Then, when using the method of this application, a pre-stored sample image of a sample with the same material and thickness as the sample is selected for comparison based on the sample cutting effect image.

[0144] like Figure 1 As shown, this embodiment provides an automatic parameter guidance method for a laser cutting CNC system. This method can be executed using any control device of the laser cutting CNC system. The automatic parameter guidance method for the laser cutting CNC system in this embodiment includes:

[0145] 101. Based on the sample cutting effect diagram of the current material to be processed, obtain a pre-stored sample image that matches the sample cutting effect diagram.

[0146] Understandably, the thickness and material of the sample of the board to be processed are determined, and all sample images of the same thickness and material are obtained from the pre-stored sample library (as described below) based on the thickness and material.

[0147] Image comparison is performed on the acquired sample images to obtain a pre-stored sample image that matches the sample cutting effect image.

[0148] In this embodiment, the material and thickness of the sample are first determined, and a sample image with the same material and thickness as the sample of the board to be processed is selected from the pre-stored sample image library.

[0149] The sample library in this embodiment stores sample images of samples of various materials and thicknesses. The sample library in this embodiment can store qualified sample images. In another embodiment, the sample library can store qualified sample images and unqualified sample images (here, unqualified sample images can be sample cut images with defective features). When the sample image is a qualified sample image, its parameters are the cutting parameters used to generate the qualified sample; when the sample image is a unqualified sample image, its parameters are the adjusted final cutting parameters / cutting parameters including adjustment amounts / adjustment amounts of at least one parameter item, where the adjustment amount includes: an adjustment coefficient or adjustment relationship of at least one cutting parameter, or the adjustment amount includes: an adjustment coefficient or adjustment relationship of at least one cutting parameter associated with a cutting defect. In other embodiments, the sample library may also store only unqualified sample images; this embodiment is not limited to this and can be configured according to actual needs.

[0150] In this embodiment, a qualified sample image is an image of the cut surface after the sample is cut, indicating that the cut surface meets the cutting requirements; a non-qualified sample image is an image of the cut surface after the sample is cut, indicating that the cut surface does not meet the cutting requirements, such as... Figure 7A As shown.

[0151] 102. Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample.

[0152] The cutting parameters of the pre-stored sample image are the optimal cutting parameters after preprocessing, or the cutting parameters of the pre-stored sample image include the adjustment amount δ.

[0153] It is understood that the cutting parameters of the pre-stored sample image may include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the original cutting parameters, optimization formula for optimizing the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimal cutting parameters with adjustment amount.

[0154] For example, if the pre-stored sample image is a qualified sample image, then the original cutting parameters are the optimal cutting parameters, and no optimization formula or adjustment amount is required. In another embodiment, if the pre-stored sample image is a qualified sample image, then the original cutting parameters are the optimal cutting parameters. In this case, an optimization formula or an adjustment amount for a certain parameter can be added to make a compromise on adjusting the cutting parameters of the current sample's cutting effect image.

[0155] In addition, if the pre-stored sample image is a non-qualified sample image, the cutting parameters of the pre-stored sample image may include: original cutting parameters, optimization formula, adjustment amount of at least one parameter item, optimal cutting parameters, etc. This embodiment does not limit them, so as to facilitate the selection of a suitable adjustment method to adjust the cutting parameters of the current sample cutting effect image.

[0156] 103. Cut the sample of the current board material to be processed according to the optimal cutting parameters to obtain a new sample cutting effect image;

[0157] 104. Determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, use the cutting parameters that meet the cutting requirements as the cutting parameters of the material to be processed.

[0158] In practice, if the new sample cutting effect image does not meet the cutting requirements, the process of obtaining a pre-stored sample image that matches the current sample cutting effect image of the board to be processed is repeated until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters of the sample cutting effect image that meets the cutting requirements are used as the cutting parameters of the board to be processed.

[0159] In this embodiment, the cutting parameters that meet the cutting requirements may include: the cutting parameters to which the final sample cutting effect image belongs;

[0160] In one implementation, the cutting parameters that meet the cutting requirements may also include: the cutting parameters of the qualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image;

[0161] In another implementation, the cutting parameters that meet the cutting requirements may also include: the optimal cutting parameters of the unqualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image.

[0162] In other embodiments, if the new sample cutting effect image matches the qualified sample image in the pre-stored sample images, it is determined that the cutting requirements are met, and the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed; the cutting parameters that meet the cutting requirements are the cutting parameters of the new sample cutting effect image or the cutting parameters of the qualified sample image; or, if the new sample cutting effect image meets the specified standard, such as the cutting surface standard, it is determined that the cutting requirements are met; or, if the new sample cutting effect image meets the manually specified standard, such as the cutting surface standard, it is determined that the cutting requirements are met.

[0163] In this embodiment, the optimal cutting parameters for the sample to be processed are generated by comparing the cutting effect diagram of the sample with a pre-prepared sample image and using the cutting parameters of the sample image and the cutting effect diagram, respectively. The sample is then cut, thereby quickly and effectively obtaining the optimal cutting parameters for the sample to be processed, ensuring the cutting quality of the sample. At the same time, it can be operated by any user without the need for experienced operators, and it also improves the speed.

[0164] like Figure 2 As shown, this embodiment provides a more specific method for automatic parameter guidance in a laser cutting CNC system. The method in this embodiment may include:

[0165] 200. Construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials;

[0166] The sample images include: qualified sample images and / or unqualified sample images, i.e., sample images with defective features; here, a qualified sample image is an image that meets the cutting requirements after the sample is cut; for example, a qualified sample image can be a cut cross-section image or a cut back image that meets the cutting requirements.

[0167] The non-compliant sample image refers to an image of a sample that does not meet the cutting requirements after cutting (such as a cut cross-section image or a cut back image). In this embodiment, the cut surface is the cut cross-section.

[0168] Each sample image has its own set of cutting parameters;

[0169] When the sample image is a qualified sample image, the cutting parameters of the sample image are the cutting parameters used when generating the sample image, and these cutting parameters are the optimal cutting parameters for the sample image.

[0170] When the pre-stored sample image is a non-qualified sample image, i.e., a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, adjustment amount for adjusting the parameter items corresponding to one or more defective features in the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimization formula for optimizing the original cutting parameters.

[0171] The original cutting parameters are the cutting parameters used when cutting non-conforming sample images.

[0172] The cutting parameters for each sample image may include: the thickness of the material to be processed, the material of the material to be processed, the cutting speed, and the cutting focus; or, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, and the cutting speed; or, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, the cutting air pressure, the cutting height, the cutting gas, the nozzle type, and the cutting method, etc.

[0173] It should be noted that step 200 above can be the action step when building the sample library, and it and steps 201 to 205 below may not be executed in the same time period. Of course, if it belongs to a new laser cutting CNC system, they can also be executed in the same time period.

[0174] 201. In response to the user's sample cutting command, the sample of the board to be processed is cut based on the initial cutting parameters triggered by the user, and the cutting effect diagram of the sample is obtained.

[0175] In this embodiment, before executing step 201, the cut sample can be placed in a designated position on the machine tool with the cut surface facing upwards. The image acquisition device of the machine tool is located on one side of the machine head. After the cutting is completed in step 201, a photo-taking command is received. The entire system moves the machine head to the camera, i.e. the image acquisition device, above the sample according to the photo-taking command, and takes a photo of the cut surface of the sample to obtain a cutting effect image of the sample.

[0176] In addition, according to the method of this embodiment, when responding to the user's sample cutting command, information for taking pictures of the cut surface of the cut sample is automatically carried. After the cutting is completed in step 201, the laser cutting CNC system controls the movement of the cutting head so that the image acquisition device can acquire the cutting effect image of the cut sample.

[0177] In this embodiment, the initial cutting parameters are used as the cutting parameters to which the sample cutting effect diagram belongs.

[0178] In other words, the user inputs the initial cutting parameters into the control device in advance or selects the default cutting parameters stored in the control device as the initial cutting parameters, and then issues a sample cutting command to achieve the cutting of the sample.

[0179] The laser cutting CNC system in this embodiment has a built-in camera. After cutting the sample, it can automatically take a picture to obtain a sample cutting effect image. In this embodiment, the sample cutting effect image can be an image of the sample cutting surface.

[0180] In this embodiment, the initial cutting parameters include, but are not limited to: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, the cutting air pressure, the cutting height, the cutting gas, the nozzle type, and the cutting method.

[0181] 202. Based on the sample cutting effect diagram of the material to be processed and the basic information of the material to be processed, select a sample image from the pre-stored sample library that matches the basic information of the material to be processed; the basic information of the material to be processed includes, but is not limited to: thickness; material type (e.g., carbon steel, stainless steel, copper, aluminum, etc.); cutting method (e.g., oxygen positive coke cutting, oxygen negative coke cutting, air cutting, nitrogen cutting, etc.).

[0182] In practical applications, if the pre-stored samples are already divided based on the basic information of the board processing, then the process of selecting the sample image in step 202 above is unnecessary.

[0183] 203. Based on the selected sample image and sample cutting effect image, obtain a pre-stored sample image that matches the sample cutting effect image.

[0184] 204. Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample.

[0185] For example, one or more parameter values, such as cutting speed, cutting focus, and cutting air pressure, can be selected from the cutting parameters of the pre-stored sample image to replace the corresponding values ​​in the cutting parameters of the sample cutting effect image; thus generating the optimal cutting parameters.

[0186] In one possible implementation, the value of the cutting parameter to which the pre-stored sample image belongs can be directly used as the value of the optimal cutting parameter.

[0187] In another possible implementation, all parameter items can be sorted from high to low based on their importance in the cutting parameters; the top n parameter items are selected as the parameter information to be adjusted; the parameter values ​​of n parameter items are selected from the cutting parameters to which the pre-stored sample image belongs to replace the values ​​at the corresponding positions in the cutting parameters to which the sample cutting effect image belongs; and the optimal cutting parameters are generated, where n is a positive integer greater than or equal to 1.

[0188] In this embodiment, the cutting parameters of the sample cutting effect diagram are taken as the optimal cutting parameters of the sample to be processed, and the parameter guidance is terminated; and the sample cutting effect diagram and the cutting parameters of the sample cutting effect diagram are stored in the pre-stored sample library.

[0189] Furthermore, in this embodiment, orthogonal experiments can be used to obtain the optimal cutting parameters. For example, based on the importance of the parameter items in the cutting parameters, all parameter items are sorted from high to low; the top n parameter items are selected as the parameter information to be adjusted; and j parameter information values ​​are selected from the cutting parameters of the pre-stored sample image using a permutation and combination method to replace the values ​​at the corresponding positions in the cutting parameters of the sample cutting effect image; multiple first cutting parameters are generated, and the number of these first cutting parameters is C. n j ;j∈n, where n is a positive integer greater than 1;

[0190] Each first cutting parameter is taken as the optimal cutting parameter.

[0191] Accordingly, the sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image, including:

[0192] The sample cutting effect image for each first cutting parameter is obtained by traversal, and the cutting effect image that meets the cutting requirements is selected from the sample cutting effect images for each first cutting parameter.

[0193] If none of the cutting requirements are met, the optimal sample cutting effect image is selected from all the sample cutting effect images of the first cutting parameters. This optimal sample cutting effect image is used as the sample cutting effect image of the current material to be processed. The process of obtaining a pre-stored sample image that matches the sample cutting effect image of the current material to be processed is repeated until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed.

[0194] In practice, the order of importance for cutting parameters is as follows: cutting speed, cutting focus, cutting gas pressure, cutting power, cutting height, and cutting duty cycle, with the most important being listed first. The above is merely an example; adjustments can be made as needed in actual applications. In this embodiment, one or more of the cutting speed, cutting focus, and cutting gas pressure can be selected as the parameters to be adjusted, as these three parameters are the most important in laser processing. Cutting speed affects the cross-sectional quality and processing efficiency. When the cutting speed is relatively slow, the laser energy's action time in the kerf is prolonged, resulting in a wider kerf and significantly reduced cutting quality and production efficiency. However, when the speed is too fast, the workpiece material may not be cut through due to insufficient heat input. The cutting focus is the distance from the laser focus to the workpiece surface, directly affecting the surface roughness, the slope and width of the kerf, and the adhesion of molten residue. Cutting gas pressure serves to blow away molten slag, cool materials, and assist combustion. If the cutting gas pressure is too high, eddies will appear on the material surface, weakening the ability to remove molten material, resulting in a wider kerf and a rougher cut surface. If the gas pressure is too low, the molten material cannot be completely blown away, and slag will adhere to the lower surface of the material. These three parameters are also the most frequently adjusted parameters in laser processing.

[0195] 205. Cut the sample of the board to be processed according to the optimal cutting parameters to obtain a new sample cutting effect image; and determine whether the new sample cutting effect image meets the cutting requirements. If it does, use the optimal cutting parameters as the cutting parameters of the board to be processed.

[0196] The quality of the cut surface is mainly judged by the presence of slag, pull lines, discoloration, and notches.

[0197] In this embodiment, the laser cutting CNC system can compare the sample image with a new sample cutting effect image. The new sample cutting effect image extracts features such as slag adhesion, pull lines, discoloration, and notch cutting characteristics, which are then matched with the sample image. If the matching degree is greater than a specified value (e.g., 50, 60, 65, 70, 80, etc., which can be selected and set individually according to the actual material to be processed), it is considered satisfactory; otherwise, it is not satisfactory. In other embodiments, manual judgment can also be used for selection and matching.

[0198] In other words, the cutting features extracted from the new sample cutting effect image can be matched with the specified cutting features. If the match is consistent, it is considered satisfactory; otherwise, it is not satisfactory. Alternatively, the standard image that meets the requirements can be compared with the new sample cutting effect image. If the matching degree is greater than the specified value, it is considered satisfactory; otherwise, it is not satisfactory.

[0199] In practical applications, the above method is also used to automatically save the optimal cutting parameters of the material to be processed, and to save the final sample cutting effect diagram and its corresponding optimal cutting parameters in the sample library. Furthermore, the cutting effect diagrams of other samples with defective characteristics during the trial cutting process and their final optimal cutting parameters can also be saved as a group in the sample library simultaneously. This expands the sample library and provides convenience for subsequent processing.

[0200] The method in this embodiment can solve the problems of inconsistent cutting results for plates of the same material and thickness in the prior art, as well as the drawbacks of complex operation and high cost. At the same time, it reduces the reliance on debugging experience, lowers the product operation threshold, and allows users to achieve both cutting results and processing efficiency.

[0201] For step 204 above, the following example can be used to further illustrate the concept:

[0202] The cutting parameters for the sample cutting effect image are X1 (cutting speed), X2 (cutting focus), and X3 (cutting air pressure). The cutting parameters for the pre-stored sample image matching the sample cutting effect image are Y1 (cutting speed), Y2 (cutting focus), and Y3 (cutting air pressure). Therefore, the optimal cutting parameters for the sample to be processed are X1+Y1 (cutting speed), X2+Y2 (cutting focus), and X3+Y3 (cutting air pressure); or, the optimal cutting parameters for the sample to be processed are X1+k*Y1 (cutting speed), X2+k*Y2 (cutting focus), and X3+k*Y3 (cutting air pressure). k is a user-selected similarity coefficient, where 0 is greater than or equal to k and less than or equal to 1.5. It should be noted that the coefficients for different parameters can be different and should be set according to actual needs.

[0203] The process of constructing a pre-stored sample library in the method of this embodiment can be illustrated by the following example.

[0204] First, select samples of a material and different thicknesses to be processed. The thickness can be divided into 1cm segments, such as 1-2cm, 1-3cm, 1-4cm, 1-5cm, 1cm-6cm, 1-7cm, 1cm-8cm, 2-3cm, 2-4cm, 2-5cm, 2cm-6cm, 2-7cm, 2cm-8cm, etc.

[0205] For each common material, the above-mentioned samples can be prepared.

[0206] Secondly, each sample is laser-cut into a specified pattern to obtain the cut surface of each pattern after laser cutting. This cut surface is used as the sample image. The specified pattern may include more than five patterns.

[0207] Next, each sample image is analyzed automatically or manually to determine if it is a qualified sample image. If it is a qualified sample image, the cutting parameters used when cutting the sample image are used as the optimal cutting parameters for the sample image. The sample image and the optimal cutting parameters are then bound and stored in the pre-stored sample library.

[0208] If a sample image is determined to be unqualified (e.g., an image with defective features), it is re-cut until a qualified sample image is obtained. At this point, the cutting parameters of the qualified sample image are the optimal cutting parameters. Each unqualified sample image is then marked as having defective features, and all sample images are bound to the cutting parameters of the qualified sample images and stored in a pre-stored sample library. Simultaneously, the optimal cutting parameters of the qualified sample images can be compared with the cutting parameters of each sample image with defective features to obtain adjustment amounts or optimization formulas. These defective sample images are then bound to the original cutting parameters, adjustment amounts, or optimization formulas and stored in the pre-stored sample library.

[0209] In one alternative implementation, when the sample image is determined to be a sample image with defective features, the cutting parameters of the sample image can be optimized in the following way so that the optimized cutting parameters can be used as the optimal cutting parameters.

[0210] The optimized cutting parameters are ((V+Δv), F, P), or (V, (F+Δf), P), (V, F, (P+Δp)), or ((V+Δv), (F+Δf), (P+Δp)), or (V+k1′*Δv, F+k2′*Δf, P+k3′*Δp); this is only an example and not a limiting statement.

[0211] In the cutting parameters of the sample image with defect features: V is the cutting speed, F is the cutting focus, and P is the cutting air pressure;

[0212] The cutting parameters for qualified samples of the same material and thickness include: cutting speed Δv, cutting focus Δf, and cutting air pressure Δp.

[0213] k1′, k2′, and k3′ are coefficients between 0 and 1.

[0214] The following also provides an automatic parameter guidance method for a laser cutting CNC system, which can be used in conjunction with the above-mentioned method. Figure 2 The methods shown are integrated and mutually referenced; this embodiment is not limited to any particular method and selection should be made according to actual needs. The steps for constructing the pre-stored sample library described below can be pre-constructed, and this embodiment is not limited to this. The method of this embodiment may include:

[0215] A10. Construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials;

[0216] The sample images include: sample images of the cut surfaces of qualified samples, and sample images of the cut surfaces of samples with cutting defects;

[0217] The cutting parameters of the sample image of the qualified sample are the optimal cutting parameters, and the cutting parameters of the sample image with cutting defects are: the optimal cutting parameters, and the adjustment amount / adjustment formula of at least one parameter item; the adjustment amount includes: the adjustment coefficient or adjustment relationship of at least one cutting parameter, or the adjustment amount includes: the adjustment coefficient or adjustment relationship of at least one cutting parameter associated with the cutting defect.

[0218] A20. In response to the user's sample cutting command, the sample of the board to be processed is cut based on the initial cutting parameters triggered by the user, and the cutting effect diagram of the sample is obtained.

[0219] For example, the cut sample can be placed in a designated position on the machine tool with the cut surface facing upwards. The image acquisition device of the machine tool is located on one side of the machine head. After the cutting is completed, a photo-taking command is received. The entire system moves the machine head to bring the camera, i.e. the image acquisition device, above the sample according to the photo-taking command, and takes a picture of the cut surface of the sample to obtain a cutting effect image of the sample.

[0220] A30. Based on the sample cutting effect diagram of the current material to be processed and the basic information of the material to be processed, select a sample image from the pre-stored sample library that matches the basic information of the material to be processed.

[0221] The basic information of the sheet material to be processed includes, but is not limited to: thickness; material type (e.g., carbon steel, stainless steel, copper, aluminum, etc.); and cutting method (e.g., oxygen positive coke cutting, oxygen negative coke cutting, air cutting, nitrogen cutting, etc.).

[0222] A40. Based on the selected sample image and sample cutting effect image, obtain a pre-saved sample image that matches the sample cutting effect image.

[0223] A50. Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample.

[0224] For example, if the pre-stored sample image matched with the sample cutting effect image has cutting defects, then the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the sample image with cutting defects. The adjusted cutting parameters are then displayed so that the operator can make a judgment based on the displayed cutting parameters. If no modification is required, then step A60 is executed based on the displayed cutting parameters. If modification is required, then step A60 is executed based on the modified cutting parameters.

[0225] Alternatively, if the pre-stored sample image matched with the sample cutting effect image has cutting defects, then the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the sample image with cutting defects. The adjusted cutting parameters are then matched with the cutting parameters of the qualified sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed, i.e., step A60 is executed below. Otherwise, the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters. If no modification is required, step A60 is executed below based on the displayed cutting parameters. If modification is required, step A60 is executed below based on the modified cutting parameters.

[0226] Alternatively, if the pre-stored sample image matched with the sample cutting effect image has cutting defects, then the adjustment amount in the cutting parameters of the sample image with cutting defects is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the qualified sample image. If they match, the adjusted cutting parameters are used to cut the current sample to be processed. Otherwise, the adjustment amount in the cutting parameters of the sample image with cutting defects is used again to adjust the cutting parameters of the sample cutting effect image until the adjusted cutting parameters match the cutting parameters of the qualified sample image. Alternatively, after m adjustments, the cutting parameters that do not match are displayed so that the operator can make a judgment based on the displayed cutting parameters, where m is a natural number greater than 3.

[0227] For example, the process of matching the adjusted cutting parameters with the cutting parameters of the qualified sample image in each of the above-mentioned adjustment procedures includes:

[0228] The values ​​of the top n most important parameters in the adjusted parameters are matched with the values ​​of the same parameters in the cutting parameters of the qualified sample image to determine whether they are within the error range. For example, the thickness with the first importance, the material with the second importance, the cutting speed with the third importance, and the cutting focus with the fourth importance are matched.

[0229] Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, then the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image. Then, the current sample to be processed is cut using the adjusted cutting parameters to obtain a new sample cutting effect image, and the process of matching the new sample cutting effect image with the pre-stored sample image is repeated.

[0230] A60. Cut the sample of the board to be processed according to the optimal cutting parameters to obtain a new sample cutting effect image; and determine whether the new sample cutting effect image meets the cutting requirements. If it does, the optimal cutting parameters are used as the cutting parameters of the board to be processed.

[0231] In this embodiment, the laser cutting CNC system can compare the standard drawing that meets the requirements with the new sample cutting effect drawing. The new sample cutting effect drawing extracts slag, pull-down lines, discoloration, and notch cutting features and matches them with the specified standard drawing (i.e., the pre-selected standard drawing that meets the requirements). If the matching degree is greater than the specified value, it is considered to meet the requirements; otherwise, it is not considered to meet the requirements.

[0232] In practical applications, the above method is also used to automatically save the optimal cutting parameters of the material to be processed, and to save the final sample cutting effect diagram and its corresponding optimal cutting parameters in the sample library. Furthermore, the cutting effect diagrams of other samples with defective characteristics during the trial cutting process and their final optimal cutting parameters can also be saved as a group in the sample library simultaneously. This expands the sample library and provides convenience for subsequent processing.

[0233] The method in this embodiment can solve the problems of inconsistent cutting results for plates of the same material and thickness in the prior art, as well as the drawbacks of complex operation and high cost. At the same time, it reduces the reliance on debugging experience, lowers the product operation threshold, and allows users to achieve both cutting results and processing efficiency.

[0234] The pre-stored sample images in the above embodiments may include defective sample images or qualified sample images. During the execution steps, if a defective sample image is matched, the adjustment amount δ displayed in the defective sample image can be manually or otherwise judged to determine if the cutting effect is met, and the process stops. Alternatively, if a defective sample image is matched, the adjustment amount δ displayed in the defective sample image can be adjusted, and if a qualified sample image is matched, the qualified sample image contains the optimal cutting parameters. The optimal cutting parameters matched above can be bound to the defective sample image and stored in a pre-stored sample library.

[0235] Of course, the pre-stored sample library can only contain qualified sample images. During use, an internal matching and judgment loop is used. When a qualified sample image is matched, the cutting parameters of the qualified sample image can be the optimal cutting parameters. Of course, if the sample cutting effect image of the material to be processed is qualified, then the parameters do not need to be replaced, and these parameters can be used directly for the subsequent cutting of the material to be processed.

[0236] It should be noted that during the execution of steps A50 and A60 above, the CNC system can also display the optimal cutting parameters after adjusting the cutting parameters of the current sample cutting effect diagram on the operation interface; or, the operation interface can display the formula for adjusting at least one parameter of the cutting parameters of the current sample cutting effect diagram, as well as information such as the value before adjustment and the value after adjustment.

[0237] In this embodiment, the information displayed on the operation interface can be stored. Specifically, the parameter adjustment process for each sample cutting effect diagram can be displayed on the interface, such as... Figure 7B As shown.

[0238] This embodiment allows operators to check whether the automated process is functioning correctly or whether the parameter guidance method is suitable for the current material. Operators can also perform operations such as pausing and optimizing, thereby improving the reliability of the optimal cutting parameters and increasing processing efficiency.

[0239] like Figure 3 As shown, this embodiment provides an automatic parameter guidance device for a laser cutting CNC system. The device in this embodiment may include: a first acquisition unit 31, a parameter fusion unit 32, a second acquisition unit 33, and a judgment unit 34.

[0240] The first acquisition unit 31 is used to acquire a pre-stored sample image that matches the sample cutting effect image based on the sample cutting effect image of the current material to be processed.

[0241] The parameter fusion unit 32 is used to generate the optimal cutting parameters for the sample based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, using a parameter fusion strategy.

[0242] The second acquisition unit 33 is used to cut the sample of the current board to be processed according to the optimal cutting parameters and obtain a new sample cutting effect image.

[0243] The judgment unit 34 is used to determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, the cutting parameters that meet the cutting requirements will be used as the cutting parameters of the material to be processed.

[0244] The automatic parameter guidance device in this embodiment has a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials; the sample images may include: qualified sample images and / or sample images with defect features;

[0245] Each sample image has its own set of cutting parameters;

[0246] When the sample image is a qualified sample image, the cutting parameters of the sample image are the cutting parameters used when generating the sample image, and these cutting parameters are the optimal cutting parameters for the sample image.

[0247] When the sample image is a sample image with defective features, the cutting parameters of the sample image are the optimal cutting parameters obtained by adjusting the cutting parameters used when generating the pre-stored sample image to overcome the defective features. These defective features may include: bottom slag, deep cut surface texture, cut surface delamination, and other cutting-related defects.

[0248] Alternatively, when the sample image is either a qualified sample image or a non-qualified sample image, the cutting parameters of the pre-stored sample image may include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the original cutting parameters, optimization formula for optimizing the original cutting parameters, adjustment amount for adjusting one or more parameter items in the original cutting parameters, and optimal cutting parameters with adjustment amount.

[0249] Typically, each cutting parameter may include information such as: cutting power, cutting duty cycle, cutting speed, cutting focus, cutting air pressure, cutting height, sheet material, sheet thickness, cutting gas, nozzle type, and cutting method.

[0250] Typically, sample images can be stored and numbered according to the material of the sheet, the thickness of the sheet, the cutting gas, and the cutting power, such as... Figure 4 As shown. For each sample image with defective features, a set of cutting parameters is associated with addressing this type of cutting defect, including cutting power, cutting duty cycle, cutting speed, cutting focus, cutting air pressure, cutting height, etc. Figure 5 As shown.

[0251] When a sample image is matched to a sample image in the sample library, the cutting parameters of the sample image will be automatically fused with the cutting parameters of the sample cutting effect image in the parameter fusion unit 32, such as the changes / replacements of cutting speed value, cutting focus value, cutting air pressure value, cutting power value, and cutting duty cycle value.

[0252] If the new sample cutting effect obtained in the judgment unit 34 meets the user's requirements after another trial cut, the cutting parameters of the new sample cutting effect are taken as the optimal cutting parameters for the material to be processed. If the cutting effect does not meet the user's requirements, the process from the first acquisition unit 31 to the second acquisition unit 33 is repeated until the user's requirements are met. The automatic parameter guidance device in this embodiment also includes a storage unit for automatically saving the optimal cutting parameters of the material to be processed, and storing the sample cutting effect of the last sample and its corresponding optimal cutting parameters in the sample library. Furthermore, the storage unit is also used to store the sample cutting effect of other samples with defect characteristics and the final optimal cutting parameters as a group in the sample library.

[0253] In a specific processing implementation, the parameter fusion unit 32 described above can be used to generate the optimal cutting parameters for the sample by means of an orthogonal experimental table.

[0254] In other words, based on orthogonality, a subset of representative points (i.e., parameters of the cut parameters) are selected from the full-scale experiment for further testing. These representative points are characterized by uniform distribution, neatness, and comparability. When the experiment involves three or more factors, an orthogonal array is constructed by selecting a subset of representative points from the full-scale experiment to achieve results equivalent to a large number of full-scale experiments with the fewest number of trials.

[0255] For example, by selecting three parameters—cutting speed, cutting focus, and cutting air pressure—as variable factors, a three-factor, two-level orthogonal experiment can be conducted. Figure 6 As shown.

[0256] based on Figure 6 As shown, four sets of cutting parameters were generated, and cutting tests were conducted on the samples using these four sets of process parameters. The four cutting samples were numbered 1-4 respectively. Finally, the best sample was selected from the four cutting samples, and the optimal cutting parameters were determined based on the optimal sample number and automatically saved.

[0257] The automatic parameter guidance device regenerates an orthogonal table based on the key points of the cutting parameters associated with the sample number selected by the user and the results of the previous round of cutting, and continues the cutting experiment. After several rounds of testing, the optimal cutting parameters can be found. This orthogonal experiment differs from a typical orthogonal experiment; the level values ​​and factors in this experiment are associated with preset cutting effect images, greatly improving the accuracy and efficiency of the experiment.

[0258] The aforementioned device solves the problem of inconsistent cutting results under the same plate and material in the prior art, as well as the problem that users lack process knowledge and experience in optimizing cutting parameters, and that even simple cutting quality issues require customer service to resolve.

[0259] In this embodiment, users only need to select an image based on the desired cutting effect; no complex parameter adjustments are required to find the perfect cutting parameters. This device can help users quickly find the perfect cutting parameters within minutes, reducing reliance on debugging experience, lowering the operational threshold of the product, and allowing users to balance both cutting effect and processing efficiency.

[0260] According to another aspect of the present invention, the present invention also provides a computing device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting CNC system described in any of the above embodiments.

[0261] According to another aspect of the present invention, the present invention also provides a laser numerical control system, characterized in that it includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting numerical control system described in the above embodiments.

[0262] The method of this embodiment is applicable to laser cutting CNC systems and also to laser welding CNC systems. In this case, the cutting parameters mentioned above can be a series of parameters corresponding to the welding.

[0263] It should be noted that the word "a" or "one" preceding a component does not preclude the existence of multiple such components. This invention can be implemented using hardware comprising several different components and using a suitably programmed computer. The use of terms such as "first," "second," "third," etc., is merely for convenience and does not indicate any order. These terms can be understood as part of the component names.

[0264] Furthermore, it should be noted that in the description of this specification, the terms "one embodiment," "some embodiments," "embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0265] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning of the basic inventive concept, can make other changes and modifications to these embodiments.

[0266] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from the spirit and scope of the invention.

Claims

1. A method for automatic parameter guidance in a laser cutting CNC system, characterized in that, include: Based on the sample cutting effect diagram of the current material sample to be processed, obtain a pre-stored sample image that matches the sample cutting effect diagram; Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed; the cutting parameters of the pre-stored sample image include at least one of the following: original cutting parameters, the best cutting parameters after optimizing the original cutting parameters, the optimization formula for optimizing the original cutting parameters, and the adjustment amount for adjusting one or more parameter items in the original cutting parameters. The current sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image; Determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, use the cutting parameters that meet the cutting requirements as the cutting parameters for the material to be processed. Specifically, based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including: Replace the corresponding value in the cutting parameters of the sample cutting effect image by selecting one or more parameter values ​​from the cutting parameters of the pre-stored sample image; generate the optimal cutting parameters. Alternatively, the value of the cutting parameter to which the pre-stored sample image belongs can be directly used as the value of the optimal cutting parameter; Alternatively, the cutting parameters of the sample cutting effect diagram can be used as the optimal cutting parameters for the sample to be processed, and the parameter guidance can be terminated; and the sample cutting effect diagram and the cutting parameters of the sample cutting effect diagram can be stored in the pre-stored sample library.

2. The automatic parameter guidance method according to claim 1, characterized in that, The method further includes: If the new sample cutting effect image does not meet the cutting requirements, the process repeats the steps of obtaining a pre-stored sample image that matches the current sample cutting effect image of the board to be processed, generating the optimal cutting parameters for the board sample to be processed using a parameter fusion strategy based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters for the board to be processed. Among them, the cutting parameters that meet the cutting requirements include: the cutting parameters to which the final sample cutting effect image belongs; Alternatively, the cutting parameters that meet the cutting requirements include: the cutting parameters of the qualified sample image in the pre-stored sample image that matches the final obtained sample cutting effect image.

3. The automatic parameter guidance method according to claim 1, characterized in that, Based on the sample cutting effect diagram of the current material sample to be processed, obtain a pre-stored sample image that matches the sample cutting effect diagram, including: Based on the sample cutting effect diagram of the current material to be processed and the basic information of the material to be processed, select a sample image that matches the basic information of the material to be processed from the pre-stored sample library. Based on the selected sample image and the sample cutting effect image, obtain a pre-stored sample image that matches the sample cutting effect image; the pre-stored sample image is one of the selected sample images; The basic information of the sheet material to be processed includes: thickness and / or material.

4. The automatic parameter guidance method according to claim 1, characterized in that, Before obtaining a pre-stored sample image matching the current sample cutting effect image of the material to be processed, the method further includes: In response to the user's sample cutting command, the sample of the board to be processed is cut based on the initial cutting parameters triggered by the user, and the cutting effect image of the sample is obtained. The initial cutting parameters are used as the cutting parameters for the sample cutting effect diagram after cutting.

5. The automatic parameter guidance method according to claim 4, characterized in that, The initial cutting parameters include: the thickness of the material to be processed, the material of the material to be processed, the cutting speed, and the cutting focus. Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, and the cutting speed; Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, and the cutting height; Alternatively, the initial cutting parameters may include: the thickness of the material to be processed, the material of the material to be processed, the cutting power, the cutting duty cycle, the cutting speed, the cutting focus, the cutting air pressure, the cutting height, the cutting gas, the nozzle type, and the cutting method.

6. The automatic parameter guidance method according to claim 3, characterized in that, Construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials, i.e., pre-stored sample images; The pre-stored sample library includes: qualified sample images and / or unqualified sample images; the qualified sample images are images that meet the cutting requirements after the sample is cut; the unqualified sample images are images that do not meet the cutting requirements after the sample is cut. When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image. When the pre-stored sample image is a non-qualified sample image, i.e. a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, and adjustment amount for adjusting one or more parameter items in the original cutting parameters. The original cutting parameters are the cutting parameters used when generating the non-compliant sample image.

7. The automatic parameter guidance method according to claim 1, characterized in that, Before obtaining a pre-stored sample image matching the sample cutting effect image based on the current sample of the board to be processed, the method further includes: Construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials; The sample images include: qualified sample images and unqualified sample images, i.e., sample images with defective features; or, the sample images include only: qualified sample images; or, the sample images include only: unqualified sample images, i.e., sample images with defective features. The qualified sample image is an image of the sample after cutting that meets the cutting requirements; the unqualified sample image is an image of the sample after cutting that does not meet the cutting requirements. When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image. When the pre-stored sample image is a non-qualified sample image, i.e. a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, and adjustment amount for adjusting one or more parameter items in the original cutting parameters. The original cutting parameters are the cutting parameters used when generating the non-compliant sample image.

8. The automatic parameter guidance method according to claim 1, characterized in that, Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including: The optimal cutting parameters were obtained by using orthogonal experiments; Alternatively, based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low; the top n parameters are selected as the parameters to be adjusted, and j parameters are selected from the cutting parameters of the pre-stored sample image using a permutation and combination method to replace the corresponding values ​​in the cutting parameters of the sample cutting effect image; multiple first cutting parameters are generated, the number of which is C. n j ;j∈n, where n is a positive integer greater than 1; Each first cutting parameter is taken as the optimal cutting parameter. Accordingly, the sample of the board to be processed is cut according to the optimal cutting parameters to obtain a new sample cutting effect image, including: The sample cutting effect image for each first cutting parameter is obtained by traversal, and the cutting effect image that meets the cutting requirements is selected from the sample cutting effect images for each first cutting parameter. If none of the cutting requirements are met, the optimal sample cutting effect image is selected from all the sample cutting effect images of the first cutting parameters. This optimal sample cutting effect image is used as the sample cutting effect image of the current material to be processed. The process of obtaining a pre-stored sample image that matches the sample cutting effect image, generating the optimal cutting parameters for the sample material to be processed using a parameter fusion strategy based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, is repeated until the final sample cutting effect image meets the cutting requirements. Then, the cutting parameters that meet the cutting requirements are used as the cutting parameters for the material to be processed.

9. The automatic parameter guidance method according to claim 1, characterized in that, Replace the corresponding value in the cutting parameters of the sample cutting effect image by selecting one or more parameter values ​​from the cutting parameters of the pre-stored sample image. Generate optimal cutting parameters, including: Based on the importance of the parameters in the cutting parameters, all parameters are sorted from high to low. Select the top n parameters as the parameters to be adjusted, and select the parameter values ​​of n parameters from the cutting parameters of the pre-stored sample image to replace the corresponding values ​​in the cutting parameters of the sample cutting effect image; generate the optimal cutting parameters, where n is a positive integer greater than or equal to 1.

10. The automatic parameter guidance method according to claim 1, characterized in that, Based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, a parameter fusion strategy is used to generate the optimal cutting parameters for the sample to be processed, including: If the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, i.e. a sample image with cutting defect characteristics, then the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image, and the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters. Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed; otherwise, the adjusted cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters. Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-qualified sample image, the cutting parameters of the sample cutting effect image are adjusted using the adjustment amount in the cutting parameters of the non-qualified sample image. The adjusted cutting parameters are then used to cut the current sample to be processed to obtain a new sample cutting effect image, and the process of matching the new sample cutting effect image with the pre-stored sample image is repeated. Alternatively, if the pre-stored sample image matched with the sample cutting effect image is a non-compliant sample image, then the adjustment amount in the cutting parameters of the non-compliant sample image is used to adjust the cutting parameters of the sample cutting effect image. The adjusted cutting parameters are then matched with the cutting parameters of the compliant sample image. If they match, the adjusted cutting parameters are used to cut the current material sample to be processed. Otherwise, the adjustment amount in the cutting parameters of the non-compliant sample image is used again to adjust the cutting parameters of the sample cutting effect image until the adjusted cutting parameters match the cutting parameters of the compliant sample image. Alternatively, after m adjustments, the non-matching cutting parameters are displayed so that the operator can make a judgment based on the displayed cutting parameters, where m is a natural number greater than 3.

11. The automatic parameter guidance method according to claim 1, characterized in that, Determine whether the new sample cutting effect image meets the cutting requirements, including: If the new sample cutting effect image matches the qualified sample image in the pre-stored sample images, it is determined that the cutting requirements are met, and the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed; the cutting parameters that meet the cutting requirements are the cutting parameters of the new sample cutting effect image or the cutting parameters of the qualified sample image. Alternatively, if the new sample cutting effect diagram meets the specified cutting surface standard, it is determined to meet the cutting requirements; or, if the new sample cutting effect diagram meets the manually specified standard, it is determined to meet the cutting requirements.

12. The automatic parameter guidance method according to any one of claims 1 to 11, characterized in that, The process of generating optimal cutting parameters for the material sample to be processed using a parameter fusion strategy includes: The optimal cutting parameters are displayed on the user interface; Alternatively, the operation interface can display the adjustment amount, original value and / or final value after adjustment for more than one parameter item; Alternatively, the operation interface can display the optimization formula for more than one parameter item, the original value and / or the final value after optimization; Alternatively, all the displayed parameter information can be stored. Alternatively, the operation interface can display the sample cutting effect diagram and the matching pre-saved sample diagram, and display prompt information, which includes at least one of the following: qualified / unqualified information, cutting parameter information of the pre-saved sample diagram, and adjustment process information or final adjustment information of the sample cutting effect diagram. Alternatively, the operation interface may display a matching pre-stored sample image and prompt information, which may include at least one of the following: pass / fail information, cutting parameter information of the pre-stored sample image, and adjustment process information or final adjustment information of the sample cutting effect image.

13. An automatic parameter guidance device for a laser cutting CNC system, characterized in that, include: The first acquisition unit is used to acquire a pre-stored sample image that matches the sample cutting effect image of the current material to be processed. The parameter fusion unit is used to generate the optimal cutting parameters for the sample to be processed based on the cutting parameters of the sample cutting effect image and the cutting parameters of the pre-stored sample image, using a parameter fusion strategy. The cutting parameters of the pre-stored sample image include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the original cutting parameters, optimization formula for optimizing the original cutting parameters, and adjustment amount for adjusting one or more parameter items in the original cutting parameters. The second acquisition unit is used to cut the sample of the current board to be processed according to the optimal cutting parameters and acquire a new sample cutting effect image. The judgment unit is used to determine whether the new sample cutting effect diagram meets the cutting requirements. If it does, the cutting parameters that meet the cutting requirements are used as the cutting parameters of the material to be processed. The parameter fusion unit is specifically used to: select one or more parameter values ​​from the cutting parameters to which the pre-stored sample image belongs to replace the corresponding values ​​in the cutting parameters to which the sample cutting effect image belongs; and generate the optimal cutting parameters; Alternatively, the value of the cutting parameter to which the pre-stored sample image belongs can be directly used as the value of the optimal cutting parameter; Alternatively, the cutting parameters of the sample cutting effect diagram can be used as the optimal cutting parameters for the sample to be processed, and the parameter guidance can be terminated; and the sample cutting effect diagram and the cutting parameters of the sample cutting effect diagram can be stored in the pre-stored sample library.

14. The automatic parameter guidance device according to claim 13, characterized in that, Also includes: A pre-stored sample image construction unit is used to construct a pre-stored sample library, which includes sample images of multiple plates to be processed with different thicknesses and materials, i.e., pre-stored sample images. The pre-stored sample library includes: qualified sample images and / or unqualified sample images; the qualified sample images are images that meet the cutting requirements after the sample is cut; the unqualified sample images are images that do not meet the cutting requirements after the sample is cut. When the pre-stored sample image is a qualified sample image, the cutting parameters of the pre-stored sample image are the cutting parameters used when generating the pre-stored sample image, and these cutting parameters are the optimal cutting parameters of the pre-stored sample image. When the pre-stored sample image is a non-qualified sample image, i.e. a sample image with defective features, the cutting parameters to which the pre-stored sample image belongs include at least one of the following: original cutting parameters, optimal cutting parameters after optimizing the defective features of the original cutting parameters, optimization formula for optimizing one or more defective features of the original cutting parameters, and adjustment amount for adjusting one or more parameter items in the original cutting parameters. The original cutting parameters are the cutting parameters used when cutting non-conforming sample images.

15. A laser numerical control system, characterized in that, The system includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting CNC system as described in any one of claims 1 to 12.

16. A computing device, characterized in that, The system includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program stored in the memory to perform the steps of the automatic parameter guidance method for a laser cutting CNC system as described in any one of claims 1 to 12.

Images