A correction method and system for laser cutting equipment

Abstract

The present invention belongs to the field of laser cutting equipment and relates to correction and analysis technology, which is used to solve the problem that the prior art cannot systematically correct and analyze multiple working components and parameters of laser cutting equipment. Specifically, it is a correction method and system for laser cutting equipment, including a cutting simulation module, a precision analysis module, a positioning analysis module and a cutting detection module. The cutting simulation module, the precision analysis module and the positioning analysis module are communicatively connected in sequence, and the precision analysis module is also communicatively connected with the cutting detection module; the cutting simulation module is used to perform regular correction simulation analysis on the laser cutting equipment; the present invention can perform regular correction simulation analysis on the laser cutting equipment, simulate cutting of the simulated object through the correction template, and then capture the image of the simulated object after cutting to obtain a comparison image, and provide data support for the precision analysis process through the standard image and the comparison image.

Description

Technical Field

[0001] The invention belongs to the field of laser cutting equipment and relates to a correction analysis technology, in particular to a correction method and system for laser cutting equipment. Background Art

[0002] The laser cutting machine focuses the laser emitted from the laser into a high-power density laser beam through the optical path system; the laser beam irradiates the surface of the workpiece, causing the workpiece to reach the melting point or boiling point, and at the same time, the high-pressure gas coaxial with the beam blows away the molten or vaporized metal. As the relative position of the beam and the workpiece moves, a cut is eventually formed in the material, thereby achieving the purpose of cutting.

[0003] Laser cutting equipment has many calibration parameters. When the cutting effect does not meet the requirements, the traditional method is to rely on manual inspection and correction of each parameter one by one. This method is inefficient and cannot perform systematic calibration and analysis on multiple working components and parameters of the laser cutting equipment, and the calibration effect cannot be guaranteed.

[0004] In view of the above technical problems, this application provides a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a calibration method and system for laser cutting equipment, which is used to solve the problem that the prior art cannot systematically calibrate and analyze multiple working components and parameters of laser cutting equipment;

[0006] The technical problem to be solved by the present invention is: how to provide a correction method and system for laser cutting equipment that can perform systematic correction and analysis on multiple working components and parameters of the laser cutting equipment.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A calibration system for laser cutting equipment, comprising a cutting simulation module, a precision analysis module, a positioning analysis module and a cutting detection module, wherein the cutting simulation module, the precision analysis module and the positioning analysis module are sequentially communicatively connected, and the precision analysis module is also communicatively connected with the cutting detection module;

[0009] The cutting simulation module is used to perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, the calibration template includes the workpiece type, the cutting start position, the cutting shape and the standard image, mark the workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, use the camera of the laser cutting equipment to capture the image of the simulation object and mark the captured image as a simulation image, overlap and compare the simulation image with the standard image to obtain a comparison image, and send the standard image and the comparison image to the accuracy analysis module;

[0010] The precision analysis module is used to analyze the precision of the simulated cutting of the laser cutting equipment, generate a cutting detection signal when the precision meets the requirements and send the cutting detection signal to the cutting detection module, and generate a positioning analysis signal when the precision does not meet the requirements and send the positioning analysis signal to the positioning analysis module;

[0011] The positioning analysis module is used to analyze the factors affecting the abnormal accuracy of the laser cutting equipment;

[0012] The cutting detection module is used to detect and analyze the cutting surface simulated by the laser cutting equipment.

[0013] Furthermore, the process of acquiring the comparison image includes: generating the starting trajectory and cutting trajectory of the laser cutting head according to the cutting starting position and cutting shape of the calibration template, controlling the laser cutting head to move to the starting cutting position of the simulated object along the starting trajectory, and then controlling the laser cutting head to move along the cutting trajectory, while controlling the cutting nozzle to focus the laser beam on the surface of the material to form a high temperature and high pressure area to cut the simulated object. After the cutting is completed, the optical camera used for calibration is used to capture the image of the simulated object after the cutting is completed and the captured image is marked as a comparison image.

[0014] Furthermore, the specific process of the precision analysis module analyzing the precision of the simulated cutting of the laser cutting equipment includes: marking each corner point of the cut workpiece in the standard image, comparing the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points, marking the ratio of the overlapping area of ​​the cut part in the standard image and the comparison image to the area of ​​the cut part in the comparison image as the overlap coefficient, comparing the overlap coefficient with the preset overlap threshold and judging whether the precision of the simulated cutting meets the requirements through the comparison result.

[0015] Furthermore, the specific process of comparing the overlap coefficient with the preset overlap threshold includes: if the overlap coefficient is greater than or equal to the overlap threshold, it is determined that the accuracy of the simulated cutting of the laser cutting equipment meets the requirements; if the overlap coefficient is less than the overlap threshold, it is determined that the accuracy of the simulated cutting of the laser cutting equipment does not meet the requirements.

[0016] Furthermore, the specific process of the positioning analysis module analyzing the factors affecting the accuracy abnormality of the laser cutting equipment includes: overlapping and comparing the cutting part in the standard image with the cutting part in the comparison image according to the cutting starting position, rotating the standard image 360 ​​degrees with the cutting starting position as the center, and calculating in real time during the rotation the ratio of the area of ​​the overlapping area between the cutting part in the standard image and the cutting part in the comparison image to the area of ​​the cutting part in the comparison image, marking it as the rotation overlap value, marking the maximum value of the rotation overlap value during the rotation as the positioning performance value, comparing the positioning performance value with the overlap threshold and marking the factors affecting the accuracy abnormality through the comparison result.

[0017] Furthermore, the specific process of comparing the positioning performance value with the overlap threshold includes: if the positioning performance value is less than the overlap threshold, it is determined that the factor affecting the accuracy abnormality is the abnormal cutting trajectory, a motion component correction signal is generated and the motion component correction signal is sent to the mobile phone terminal of the administrator; if the positioning performance value is greater than or equal to the overlap threshold, it is determined that the factor affecting the accuracy abnormality is the abnormal positioning trajectory, a camera correction signal is generated and the camera correction signal is sent to the mobile phone terminal of the administrator.

[0018] Furthermore, the specific process of the cutting detection module detecting and analyzing the cutting surface of the simulated cutting of the laser cutting equipment includes: obtaining the rough data CC, vertical data CZ and smooth data GJ of the cutting part of the simulated object and performing numerical calculations to obtain the cutting coefficient QG of the simulated object; comparing the cutting coefficient QG of the simulated object with the preset cutting threshold QGmax: if the cutting coefficient QG is less than the cutting threshold QGmax, it is determined that the cutting quality of the simulated object meets the requirements, and a simulation normal signal is generated and sent to the mobile phone terminal of the administrator; if the cutting coefficient QG is greater than or equal to the cutting threshold QGmax, it is determined that the cutting quality of the simulated object does not meet the requirements, and a cutting parameter correction signal is generated and sent to the mobile phone terminal of the administrator.

[0019] Furthermore, the process of obtaining the rough data CC includes: dividing the cut surface of the simulated object into several detection surface areas, obtaining the surface roughness of the detection surface areas, and summing and averaging the surface roughness of all the detection surface areas to obtain the rough data CC; the process of obtaining the vertical data CJ includes: obtaining the non-perpendicularity between the detection surface area and the cut workpiece and marking it as a vertical value, and summing and averaging the vertical values ​​of all the detection surface areas to obtain the vertical data CZ; the process of obtaining the smooth data GJ includes: photographing the detection surface area with a correction optical camera and marking the photographed image as a detection image, enlarging the detection image into a pixel grid image and performing grayscale transformation, calling the smooth grayscale range of the cutting surface, marking the pixel grids whose grayscale values ​​are outside the smooth grayscale range as processing grids, marking the ratio of the number of processing grids to the number of pixel grids in the detection surface area as the processing value of the detection surface area, and summing and averaging the processing values ​​of all the detection surface areas to obtain the smooth data GJ.

[0020] A calibration method for laser cutting equipment comprises the following steps:

[0021] Step 1: Perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, mark the workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, control the laser cutting head to move to the starting cutting position of the simulation object along the starting trajectory, and then control the laser cutting head to move along the cutting trajectory for cutting, and use the calibration optical camera to capture the image of the simulated object after cutting and mark the captured image as a comparison image;

[0022] Step 2: Analyze the precision of simulated cutting by the laser cutting equipment: mark each corner point of the cut workpiece in the standard image, and compare the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points to obtain the coincidence coefficient. The coincidence coefficient is used to determine whether the precision of simulated cutting by the laser cutting equipment meets the requirements. If the requirements are met, execute step 4; if not, execute step 3.

[0023] Step 3: Analyze the factors affecting the accuracy of the laser cutting equipment and obtain the positioning performance value, and mark the factors affecting the accuracy as abnormal cutting trajectory or abnormal positioning trajectory through the positioning performance value;

[0024] Step 4: Detect and analyze the cutting surface simulated by the laser cutting equipment: obtain the rough data CC, vertical data CZ and smooth data GJ of the cut part of the simulated object and perform numerical calculations to obtain the cutting coefficient QG. The cutting coefficient QG is used to determine whether the cutting quality of the simulated object meets the requirements.

[0025] The present invention has the following beneficial effects:

[0026] The cutting simulation module can be used to perform regular calibration simulation analysis on the laser cutting equipment. The simulated object can be simulated cut through the correction template, and then the simulated object after cutting can be photographed to obtain a comparison image. The standard image and the comparison image can provide data support for the accuracy analysis process.

[0027] The precision analysis module can be used to analyze the precision of simulated cutting by the laser cutting equipment. The standard image and the comparison image are overlapped and compared according to the corner points of the cut workpiece to obtain the overlap coefficient. The accuracy of the cutting position and cutting shape of the simulated object is evaluated through the overlap coefficient, so as to select the next operation according to the evaluation coefficient.

[0028] The positioning analysis module can be used to analyze the factors affecting the accuracy of laser cutting equipment, and obtain the rotation coincidence value in real time by rotating the standard image. The final positioning performance value can be used to provide feedback on the accuracy of the starting trajectory in the simulated cutting process, and the position of the cutting equipment component that causes the accuracy abnormality can be determined, so that parameter correction can be carried out in a targeted manner.

[0029] 4. The cutting detection module can be used to detect and analyze the cutting surface of the simulated cutting of the laser cutting equipment, and the cutting coefficient can be obtained by comprehensive analysis and calculation of multiple surface parameters of the cutting part of the simulated object. The cutting coefficient can be used to provide feedback on the overall cutting quality of the cutting part of the simulated object, thereby combining the accuracy analysis results to conduct a comprehensive and systematic correction analysis of multiple components of the laser cutting equipment, thereby improving the correction efficiency while ensuring the correction effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0032] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0033] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0034] like Figure 1 As shown, a correction system for laser cutting equipment includes a cutting simulation module, a precision analysis module, a positioning analysis module and a cutting detection module. The cutting simulation module, the precision analysis module and the positioning analysis module are communicatively connected in sequence, and the precision analysis module is also communicatively connected to the cutting detection module.

[0035] The cutting simulation module is used to perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, the calibration template includes the workpiece type, cutting starting position, cutting shape and standard image, mark the workpiece of the same type as the workpiece type corresponding to the calibration template as a simulation object, use the camera of the laser cutting equipment to capture the image of the simulation object and mark the captured image as a simulation image, overlap and compare the simulation image with the standard image, and then generate the starting trajectory and cutting trajectory of the laser cutting head according to the cutting starting position and cutting shape of the calibration template, control the laser cutting head to move to the starting cutting position of the simulation object according to the starting trajectory, and then control the laser cutting head to move according to the cutting trajectory, and at the same time control the cutting nozzle to focus the laser beam on the surface of the material to form a high temperature and high pressure area to cut the simulation object. After the cutting is completed, the optical camera used for calibration captures the image of the completed cutting simulation object and marks the captured image as a comparison image, and sends the standard image and the comparison image to the precision analysis module; perform regular calibration simulation analysis on the laser cutting equipment, simulate cutting the simulation object through the correction template, and then capture the image of the simulated object after cutting to obtain a comparison image, and provide data support for the precision analysis process through the standard image and the comparison image.

[0036] The precision analysis module is used to analyze the precision of simulated cutting of the laser cutting equipment: mark the corner points of the cut workpiece in the standard image, overlap and compare the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points, mark the ratio of the overlapping area of ​​the cutting part in the standard image and the comparison image to the area of ​​the cutting part in the comparison image as the overlap coefficient, and compare the overlap coefficient with the preset overlap threshold: if the overlap coefficient is greater than or equal to the overlap threshold, it is determined that the precision of the simulated cutting of the laser cutting equipment meets the requirements, and a cutting detection signal is generated and sent to the cutting detection module; if the overlap coefficient is less than the overlap threshold, it is determined that the precision of the simulated cutting of the laser cutting equipment does not meet the requirements, and a positioning analysis signal is generated and sent to the positioning analysis module; analyze the precision of the simulated cutting of the laser cutting equipment, overlap and compare the standard image and the comparison image according to the corner points of the cut workpiece to obtain the overlap coefficient, and evaluate the accuracy of the cutting position and cutting shape of the simulated object through the overlap coefficient, so as to select the next operation according to the evaluation coefficient.

[0037] The positioning analysis module is used to analyze the factors affecting the accuracy of laser cutting equipment: the cutting part in the standard image is overlapped with the cutting part in the comparison image according to the cutting starting position, and the standard image is rotated 360 degrees with the cutting starting position as the center. During the rotation process, the ratio of the area of ​​the overlapping area between the cutting part in the standard image and the cutting part in the comparison image to the area of ​​the cutting part in the comparison image is calculated in real time and marked as the rotation overlap value. The maximum value of the rotation overlap value during the rotation process is marked as the positioning performance value, and the positioning performance value is compared with the overlap threshold: if the positioning performance value is less than the overlap threshold, it is determined that the accuracy is affected. If the factor is the abnormal cutting trajectory, a motion component correction signal is generated and sent to the administrator's mobile terminal; if the positioning performance value is greater than or equal to the overlap threshold, the accuracy abnormality influencing factor is determined to be the abnormal positioning trajectory, a camera correction signal is generated and sent to the administrator's mobile terminal; the accuracy abnormality influencing factors of the laser cutting equipment are analyzed, and the rotation overlap value is obtained in real time by rotating the standard image, so that the accuracy of the starting trajectory in the simulated cutting process is fed back through the final positioning performance value, and the position of the cutting equipment component that causes the accuracy abnormality is determined, so that targeted parameter correction can be performed.

[0038] The cutting detection module is used to detect and analyze the cutting surface simulated by the laser cutting equipment: obtain the rough data CC, vertical data CZ and smooth data GJ of the cutting part of the simulated object. The acquisition process of the rough data CC includes: dividing the cutting surface of the simulated object into several detection surface areas, obtaining the surface roughness of the detection surface area, and summing and averaging the surface roughness of all the detection surface areas to obtain the rough data CC; the acquisition process of the vertical data CJ includes: obtaining the non-perpendicularity between the detection surface area and the cutting workpiece and marking it as a vertical value, and summing and averaging the vertical values ​​of all the detection surface areas to obtain the vertical data CZ; the acquisition process of the smooth data GJ includes: photographing the detection surface area through the optical camera used for correction and marking the photographed image as the detection image, enlarging the detection image into a pixel grid image and performing grayscale transformation, calling the smooth grayscale range of the cutting surface, marking the pixel grid with a grayscale value outside the smooth grayscale range as a processing grid, marking the ratio of the number of processing grids to the number of pixel grids in the detection surface area as the processing value of the detection surface area, and summing and averaging the processing values ​​of all the detection surface areas to obtain the smooth data GJ; through the formula The cutting coefficient QG of the simulated object is obtained, wherein c1, c2 and c3 are all proportional coefficients, and c1>c2>c3>1; the cutting coefficient QG of the simulated object is compared with the preset cutting threshold QGmax: if the cutting coefficient QG is less than the cutting threshold QGmax, it is determined that the cutting quality of the simulated object meets the requirements, a simulated normal signal is generated and the simulated normal signal is sent to the mobile phone terminal of the administrator; if the cutting coefficient QG is greater than or equal to the cutting threshold QGmax, it is determined that the cutting quality of the simulated object does not meet the requirements, a cutting parameter correction signal is generated and the cutting parameter correction signal is sent to the mobile phone terminal of the administrator; the cutting surface of the simulated cutting of the laser cutting equipment is detected and analyzed, and the cutting coefficient is obtained by comprehensive analysis and calculation of multiple surface parameters of the cutting part of the simulated object. The cutting coefficient is used to provide feedback on the overall cutting quality of the cutting part of the simulated object, thereby combining the precision analysis results to conduct a comprehensive and systematic correction analysis of multiple components of the laser cutting equipment, thereby improving the correction efficiency while ensuring the correction effect. Example

[0039] like Figure 2 As shown, a correction method for laser cutting equipment comprises the following steps:

[0040] Step 1: Perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, mark the workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, control the laser cutting head to move to the starting cutting position of the simulation object along the starting trajectory, and then control the laser cutting head to move along the cutting trajectory for cutting, and use the calibration optical camera to capture the image of the simulated object after cutting and mark the captured image as a comparison image;

[0041] Step 2: Analyze the precision of simulated cutting by the laser cutting equipment: mark each corner point of the cut workpiece in the standard image, and compare the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points to obtain the coincidence coefficient. The coincidence coefficient is used to determine whether the precision of simulated cutting by the laser cutting equipment meets the requirements. If the requirements are met, execute step 4; if not, execute step 3.

[0042] Step 3: Analyze the factors affecting the accuracy of the laser cutting equipment and obtain the positioning performance value, and mark the factors affecting the accuracy as abnormal cutting trajectory or abnormal positioning trajectory through the positioning performance value;

[0043] Step 4: Detect and analyze the cutting surface simulated by the laser cutting equipment: obtain the rough data CC, vertical data CZ and smooth data GJ of the cut part of the simulated object and perform numerical calculations to obtain the cutting coefficient QG. The cutting coefficient QG is used to determine whether the cutting quality of the simulated object meets the requirements.

[0044] A calibration method and system for laser cutting equipment, when working, randomly select a calibration template, mark a workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, control the laser cutting head to move to the starting cutting position of the simulation object according to the starting trajectory, then control the laser cutting head to move according to the cutting trajectory for cutting, take an image of the simulation object after cutting by an optical camera for calibration and mark the captured image as a comparison image; mark each corner point of the cut workpiece in the standard image, overlap and compare the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points to obtain an overlap coefficient, judge whether the accuracy of the simulated cutting of the laser cutting equipment meets the requirements by the overlap coefficient, obtain the rough data CC, vertical data CZ and smooth data GJ of the cut part of the simulation object when the requirements are met, and perform numerical calculation to obtain the cutting coefficient QG, judge whether the cutting quality of the simulation object meets the requirements by the cutting coefficient QG; if the requirements are not met, analyze the factors affecting the accuracy abnormality of the laser cutting equipment and obtain the positioning performance value, and mark the factors affecting the accuracy abnormality as cutting trajectory abnormality or positioning trajectory abnormality by the positioning performance value.

[0045] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0046] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of sample data and sets a corresponding cutting coefficient for each group of sample data; Substitute the set cutting coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of c1, c2 and c3 as 3.85, 2.49 and 2.12 respectively;

[0047] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding cutting coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the cutting coefficient is proportional to the value of the rough data.

[0048] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0049] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A calibration system for laser cutting equipment, It is characterized in that It includes a cutting simulation module, a precision analysis module, a positioning analysis module and a cutting detection module, wherein the cutting simulation module, the precision analysis module and the positioning analysis module are sequentially connected in communication, and the precision analysis module is also connected in communication with the cutting detection module; The cutting simulation module is used to perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, the calibration template includes the workpiece type, the cutting start position, the cutting shape and the standard image, mark the workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, use the camera of the laser cutting equipment to capture the image of the simulation object and mark the captured image as a simulation image, overlap and compare the simulation image with the standard image to obtain a comparison image, and send the standard image and the comparison image to the accuracy analysis module; The precision analysis module is used to analyze the precision of the simulated cutting of the laser cutting equipment, generate a cutting detection signal when the precision meets the requirements and send the cutting detection signal to the cutting detection module, and generate a positioning analysis signal when the precision does not meet the requirements and send the positioning analysis signal to the positioning analysis module; The positioning analysis module is used to analyze the factors affecting the abnormal accuracy of the laser cutting equipment; The cutting detection module is used to detect and analyze the cutting surface simulated by the laser cutting equipment.

2. A correction system for laser cutting equipment according to claim 1, It is characterized in that The process of acquiring the comparison image includes: generating the starting trajectory and cutting trajectory of the laser cutting head according to the cutting starting position and cutting shape of the calibration template, controlling the laser cutting head to move to the starting cutting position of the simulated object along the starting trajectory, and then controlling the laser cutting head to move along the cutting trajectory, while controlling the cutting nozzle to focus the laser beam on the surface of the material to form a high temperature and high pressure area to cut the simulated object. After the cutting is completed, the optical camera used for calibration is used to capture the image of the simulated object after the cutting is completed and the captured image is marked as a comparison image.

3. A correction system for laser cutting equipment according to claim 2, It is characterized in that The specific process of the precision analysis module analyzing the precision of simulated cutting of the laser cutting equipment includes: marking each corner point of the cut workpiece in the standard image, comparing the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points, marking the ratio of the overlapping area of ​​the cut part in the standard image and the comparison image to the area of ​​the cut part in the comparison image as the overlap coefficient, comparing the overlap coefficient with the preset overlap threshold and judging whether the precision of the simulated cutting meets the requirements through the comparison result.

4. A correction system for laser cutting equipment according to claim 3, It is characterized in that The specific process of comparing the overlap coefficient with the preset overlap threshold includes: if the overlap coefficient is greater than or equal to the overlap threshold, it is determined that the accuracy of the simulated cutting of the laser cutting equipment meets the requirements; if the overlap coefficient is less than the overlap threshold, it is determined that the accuracy of the simulated cutting of the laser cutting equipment does not meet the requirements.

5. A correction system for laser cutting equipment according to claim 4, It is characterized in that The specific process of the positioning analysis module analyzing the factors affecting the accuracy abnormality of the laser cutting equipment includes: overlapping and comparing the cutting part in the standard image with the cutting part in the comparison image according to the cutting starting position, rotating the standard image 360 ​​degrees with the cutting starting position as the center, and calculating in real time during the rotation the ratio of the area of ​​the overlapping area between the cutting part in the standard image and the cutting part in the comparison image to the area of ​​the cutting part in the comparison image, marking it as the rotation overlap value, marking the maximum value of the rotation overlap value during the rotation as the positioning performance value, comparing the positioning performance value with the overlap threshold, and marking the factors affecting the accuracy abnormality through the comparison result.

6. A correction system for laser cutting equipment according to claim 5, It is characterized in that The specific process of comparing the positioning performance value with the overlap threshold includes: if the positioning performance value is less than the overlap threshold, it is determined that the factor affecting the accuracy abnormality is the abnormal cutting trajectory, a motion component correction signal is generated and the motion component correction signal is sent to the administrator's mobile phone terminal; if the positioning performance value is greater than or equal to the overlap threshold, it is determined that the factor affecting the accuracy abnormality is the abnormal positioning trajectory, a camera correction signal is generated and the camera correction signal is sent to the administrator's mobile phone terminal.

7. A correction system for laser cutting equipment according to claim 6, It is characterized in that The specific process of the cutting detection module detecting and analyzing the cutting surface of the simulated cutting of the laser cutting equipment includes: obtaining the rough data CC, vertical data CZ and smooth data GJ of the cutting part of the simulated object and performing numerical calculation to obtain the cutting coefficient QG of the simulated object; comparing the cutting coefficient QG of the simulated object with the preset cutting threshold QGmax: if the cutting coefficient QG is less than the cutting threshold QGmax, it is determined that the cutting quality of the simulated object meets the requirements, and a simulation normal signal is generated and sent to the mobile phone terminal of the administrator; if the cutting coefficient QG is greater than or equal to the cutting threshold QGmax, it is determined that the cutting quality of the simulated object does not meet the requirements, and a cutting parameter correction signal is generated and sent to the mobile phone terminal of the administrator.

8. A correction system for laser cutting equipment according to claim 7, It is characterized in that The process of obtaining the rough data CC includes: dividing the cutting surface of the simulated object into several detection surface areas, obtaining the surface roughness of the detection surface areas, and summing and averaging the surface roughness of all the detection surface areas to obtain the rough data CC; the process of obtaining the vertical data CJ includes: obtaining the non-perpendicularity between the detection surface area and the cut workpiece and marking it as a vertical value, and summing and averaging the vertical values ​​of all the detection surface areas to obtain the vertical data CZ; the process of obtaining the smooth data GJ includes: photographing the detection surface area with a correction optical camera and marking the photographed image as a detection image, enlarging the detection image into a pixel grid image and performing grayscale transformation, calling the smooth grayscale range of the cutting surface, marking the pixel grids with grayscale values ​​outside the smooth grayscale range as processing grids, marking the ratio of the number of processing grids to the number of pixel grids in the detection surface area as the processing value of the detection surface area, and summing and averaging the processing values ​​of all the detection surface areas to obtain the smooth data GJ.

9. A calibration method for laser cutting equipment, It is characterized in that The following steps are involved: Step 1: Perform regular calibration simulation analysis on the laser cutting equipment: randomly select a calibration template, mark the workpiece of the same type as the workpiece corresponding to the calibration template as a simulation object, control the laser cutting head to move to the starting cutting position of the simulation object along the starting trajectory, and then control the laser cutting head to move along the cutting trajectory for cutting, and use the calibration optical camera to capture the image of the simulated object after cutting and mark the captured image as a comparison image; Step 2: Analyze the precision of simulated cutting by the laser cutting equipment: mark each corner point of the cut workpiece in the standard image, and compare the cut workpiece in the standard image with the cut workpiece in the comparison image according to the corner points to obtain the coincidence coefficient. The coincidence coefficient is used to determine whether the precision of simulated cutting by the laser cutting equipment meets the requirements. If the requirements are met, execute step 4; if not, execute step 3. Step 3: Analyze the factors affecting the accuracy of the laser cutting equipment and obtain the positioning performance value, and mark the factors affecting the accuracy as abnormal cutting trajectory or abnormal positioning trajectory through the positioning performance value; Step 4: Detect and analyze the cutting surface simulated by the laser cutting equipment: obtain the rough data CC, vertical data CZ and smooth data GJ of the cut part of the simulated object and perform numerical calculations to obtain the cutting coefficient QG. The cutting coefficient QG is used to determine whether the cutting quality of the simulated object meets the requirements.

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