Steel sheet laser cutting error calibration system and method based on laser scanning

Abstract

The invention belongs to the technical field of laser cutting error calibration, and particularly relates to a steel sheet laser cutting error calibration system and method based on laser scanning, and the method comprises the steps: carrying out the non-contact edge scanning of a steel sheet below a screen frame through a high-precision laser scanner, and obtaining the actual contour data of the steel sheet; comparing the actual contour data with theoretical coordinates by using a coordinate mapping algorithm, and calculating the position offset and the rotation angle of the steel sheet; according to the position offset and the rotation angle, a gluing track and a cutting path are corrected in real time; according to the laser cutting device, the gluing width and cutting energy machining parameters are synchronously adjusted, dynamic matching of the machining parameters and physical positions is achieved, the cutting parameters are adjusted by analyzing the data, and finally the laser cutting device is calibrated and adjusted through the calibration and adjustment module according to instructions, so that accurate laser cutting is achieved, and the cutting quality and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of laser cutting error calibration, and in particular to a steel sheet laser cutting error calibration system and method based on laser scanning. Background Art

[0002] In modern industrial production, laser cutting technology is widely used to process various steel materials due to its high efficiency and high precision. However, due to various uncertainties in the laser cutting process, such as fluctuations in laser performance, thermal deformation of the material, and deviations in the cutting path, cutting errors are difficult to avoid. These errors not only affect product quality but can also lead to material waste and increased production costs. Therefore, developing a system and method that can effectively calibrate laser cutting errors is of great significance for improving production efficiency and product quality.

[0003] To address these issues, researchers have proposed a laser scanning-based error calibration system for steel sheet laser cutting. This system uses laser scanning technology to precisely scan and measure the workpiece surface before cutting, thereby obtaining information about the workpiece's actual dimensions. By comparing a preset ideal model with the actual measurement data, deviations in the cutting path can be accurately identified. Based on this error information, the system intelligently adjusts the cutting path, achieving dynamic calibration of the cutting process, thereby improving cutting accuracy and processing quality. Furthermore, this method can effectively adapt to the thermal expansion and contraction characteristics of different materials, further enhancing its application scope and efficiency.

[0004] Traditional laser cutting error calibration methods often have certain limitations and cannot fully cope with complex and changing usage environments and cutting objects.

[0005] In view of the above technical defects, a solution of a steel sheet laser cutting error calibration system and method based on laser scanning is proposed. Summary of the Invention

[0006] In order to solve the above problems, the present invention provides the following technical solutions: A method for calibrating errors in laser cutting of steel sheets based on laser scanning, comprising: Use a high-precision laser scanner to perform non-contact edge scanning on the steel sheet below the screen frame to obtain the actual contour data of the steel sheet; The actual contour data is compared with the theoretical coordinates using a coordinate mapping algorithm to calculate the position offset and rotation angle of the steel sheet; According to the position offset and rotation angle, the gluing track and cutting path are corrected in real time; Synchronously adjust the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters and physical positions.

[0007] Furthermore, the step of performing non-contact edge scanning on the steel sheet below the screen frame by using a high-precision laser scanner to obtain actual contour data of the steel sheet includes installing the high-precision laser scanner at an appropriate position of the processing equipment to ensure that it can cover the entire area of ​​the screen frame and the steel sheet, starting the laser scanner, and starting non-contact edge scanning of the steel sheet below the screen frame. The laser scanner measures the three-dimensional coordinates of each point on the edge of the steel sheet by emitting a laser beam and receiving the reflected signal, and transmits the obtained actual contour data to the data processing module. The data processing module applies a coordinate mapping algorithm to compare the actual contour data with the theoretical design coordinates, and calculates the offset and rotation angle of the steel sheet relative to the theoretical position based on the results of the coordinate mapping algorithm, and transmits the calculated offset and rotation angle to the processing control module, and synchronously adjusts the glue coating width and cutting energy based on the actual position and shape of the steel sheet.

[0008] Furthermore, the high-precision laser scanner is used to emit a laser beam to measure the three-dimensional coordinates of each point on the surface of the steel sheet to form point cloud data, which is calculated as follows; , Where z is the distance from the surface point of the steel sheet to the laser scanner, t is the round trip time of the laser beam, and c is the speed of light; Use depth information, color information, or spatial distribution features to separate the point cloud data of the steel sheet from the point cloud data of the frame and other interference objects. The calculation is as follows: , Among them, R, G, B, are the values ​​of the color channels; The edge detection algorithm is used to identify the edge points of the steel sheet. The calculation is as follows:

[0009] Where N is the edge strength, and is the gradient of the image in the x and y directions; The actual contour data of the steel sheet is aligned with the theoretical design model, the position offset and rotation angle are calculated, the actual contour is compared with the theoretical contour, the deviation is calculated, the offset and deformation of the steel sheet are evaluated, and the gluing trajectory and cutting path are adjusted according to the calculated position offset and rotation angle. The calculation is as follows: , in, is the adjusted cutting path, is the slope change after adjustment, is the offset change after adjustment.

[0010] Furthermore, the step of using a coordinate mapping algorithm to compare the actual contour data with the theoretical coordinates and calculating the position offset and rotation angle of the steel sheet includes using a high-precision laser scanner to perform non-contact edge scanning on the steel sheet to obtain the actual contour data of the steel sheet, determine a common reference point or benchmark, convert the actual contour data into a reference system of theoretical coordinates, use a coordinate mapping algorithm to match and compare the actual data and the theoretical data, apply the calculated translation and rotation parameters to the actual data, check whether they match the theoretical data, transmit the calculated position offset and rotation angle to the processing control module, correct the gluing trajectory and cutting path in real time, and optimize the coordinate mapping algorithm according to actual application conditions to improve calculation efficiency and accuracy.

[0011] Furthermore, the step of correcting the gluing trajectory and cutting path in real time based on the position offset and rotation angle includes adjusting the coordinates of each gluing point according to the calculated offset and rotation angle, sending the adjusted coordinates to the gluing robot, performing the gluing operation, adjusting the coordinates of each cutting point according to the calculated offset and rotation angle, continuously monitoring the adjusted trajectory, and repeating the adjustment process when a new offset or rotation is found.

[0012] Furthermore, the steps of synchronously adjusting the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters with physical positions include using high-precision sensors to collect the position, shape and surface feature data of the workpiece in real time, denoising and downsampling the collected data to ensure data accuracy and processing efficiency, comparing the actual position with the theoretical model, calculating the position offset, calculating the rotation angle of the workpiece by comparing the actual position with the theoretical model, adjusting the motion trajectory of the gluing robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width according to the roughness of the workpiece surface and the actual position, adjusting the motion path of the cutting robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width and cutting energy according to the real-time feedback data during the processing to ensure dynamic matching of processing parameters with the physical position, and using high-precision detection equipment to detect the gluing width and cutting quality after the processing is completed.

[0013] According to one aspect of the present invention, a laser scanning-based steel sheet laser cutting error calibration system is provided, comprising: High-precision laser scanner for non-contact edge scanning of the steel sheet under the screen frame; A data processing module is used to receive the actual contour data obtained by the laser scanner and calculate the position offset and rotation angle of the steel sheet through a coordinate mapping algorithm; The processing control module is used to correct the gluing trajectory and cutting path in real time according to the position offset and rotation angle, and synchronously adjust the gluing width and cutting energy processing parameters.

[0014] Furthermore, the high-precision laser scanner uses a long-wavelength laser for scanning to penetrate the gaps in the mesh frame, and also includes a point cloud filtering algorithm module for removing mesh frame interference data and accurately extracting steel sheet edge features. The coordinate mapping algorithm includes an edge feature-based matching algorithm for generating actual contour data. The processing control module also includes a real-time compensation module for compensating for the cumulative error caused by steel sheet offset and mesh frame deformation.

[0015] According to one aspect of the present invention, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program and the processor implements the steps of the above-mentioned steel sheet laser cutting error calibration method based on laser scanning when executing the computer program.

[0016] According to one aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned steel sheet laser cutting error calibration method based on laser scanning are implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: In the laser cutting error calibration method of steel sheets based on laser scanning of the present invention, a high-precision laser scanner is used to perform non-contact edge scanning on the steel sheet below the screen frame to obtain actual contour data of the steel sheet; a coordinate mapping algorithm is used to compare the actual contour data with the theoretical coordinates to calculate the position offset and rotation angle of the steel sheet; according to the position offset and rotation angle, the gluing trajectory and cutting path are corrected in real time; the gluing width and cutting energy processing parameters are synchronously adjusted to achieve dynamic matching of processing parameters with physical positions, and the cutting parameters are adjusted by analyzing these data, and finally the calibration adjustment module calibrates and adjusts the laser cutting equipment according to instructions, thereby achieving precise laser cutting and improving cutting quality and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 Schematic diagram of the overall error calibration method for laser cutting of steel sheets based on laser scanning according to the present invention; Figure 2 Schematic diagram of the framework of the steel sheet laser cutting error calibration system based on laser scanning of the present invention; Figure 3 The figure is a schematic diagram of the computer structure in the steel sheet laser cutting error calibration system based on laser scanning of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] like Figure 1-Figure 3 As shown, the present application provides a steel sheet laser cutting error calibration method based on laser scanning, comprising: S1: Use a high-precision laser scanner to perform non-contact edge scanning on the steel sheet below the screen frame to obtain the actual contour data of the steel sheet; S2: using a coordinate mapping algorithm to compare the actual profile data with the theoretical coordinates, and calculate the position offset and rotation angle of the steel sheet; S3: Correcting the gluing track and cutting path in real time according to the position offset and rotation angle; S4: Synchronously adjust the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters and physical positions.

[0021] Specifically, the step of performing non-contact edge scanning on the steel sheet below the screen frame by using a high-precision laser scanner to obtain actual contour data of the steel sheet includes installing the high-precision laser scanner at an appropriate position of the processing equipment to ensure that it can cover the entire area of ​​the screen frame and the steel sheet, starting the laser scanner, and starting non-contact edge scanning of the steel sheet below the screen frame. The laser scanner measures the three-dimensional coordinates of each point on the edge of the steel sheet by emitting a laser beam and receiving the reflected signal, and transmits the obtained actual contour data to the data processing module. The data processing module applies a coordinate mapping algorithm to compare the actual contour data with the theoretical design coordinates, and calculates the offset and rotation angle of the steel sheet relative to the theoretical position based on the results of the coordinate mapping algorithm, and transmits the calculated offset and rotation angle to the processing control module, and synchronously adjusts the glue coating width and cutting energy based on the actual position and shape of the steel sheet.

[0022] In one embodiment, a high-precision laser scanner is installed and calibrated: A high-precision laser scanner is installed at an appropriate location within the processing equipment, ensuring that it covers the entire area of ​​the screen frame and steel sheet. The scanner is calibrated to ensure accurate and consistent measurements. The calibration process may include adjusting the laser beam emission angle, measurement distance, and reception sensitivity of the reflected signal.

[0023] Perform non-contact edge scanning: Start the laser scanner and begin non-contact edge scanning of the steel sheet below the screen frame. Ensure that the steel sheet is positioned stably within the screen frame to avoid scanning errors caused by vibration or other factors.

[0024] Adjust the scanning frequency and speed to suit the rhythm of the production line and ensure timely acquisition of the steel sheet contour data.

[0025] Acquiring the actual contour data of the steel sheet: A laser scanner emits a laser beam and receives the reflected signal, measuring the three-dimensional coordinates of each point along the steel sheet's edge. These coordinates are processed to generate the actual contour data of the steel sheet. This process may involve steps such as data filtering, denoising, and edge detection.

[0026] Data transmission to the data processing module: The acquired actual contour data is transmitted to the data processing module. Data transmission must ensure real-time and reliability, and may utilize a high-speed data bus or wireless transmission technology. After receiving the data, the data processing module begins subsequent analysis and calculations.

[0027] Analysis using a coordinate mapping algorithm: The data processing module applies a coordinate mapping algorithm to compare the actual profile data with the theoretical design coordinates. Using feature extraction and matching algorithms, the actual position and shape of the steel sheet are identified, and the position offset (Δx, Δy) and rotation angle θ are calculated. The algorithm must be highly accurate and responsive to ensure timely and accurate calibration.

[0028] Calculate the offset and rotation angle of the steel sheet: Based on the results of the coordinate mapping algorithm, the offset (Δx, Δy) and rotation angle θ of the steel sheet relative to the theoretical position are calculated. This data will be used for subsequent path correction and processing parameter adjustment.

[0029] Real-time correction of the gluing and cutting paths: The calculated offsets and rotation angles are transmitted to the process control module. Based on this data, the process control module adjusts the gluing and cutting paths in real time to compensate for deviations in the actual position of the steel sheet. This may involve the development and optimization of path planning algorithms to ensure that the adjusted paths accurately adapt to the actual position of the steel sheet.

[0030] Synchronous adjustment of gluing width and cutting energy: Based on the actual position and shape of the steel sheet, process parameters such as gluing width (W_c) and cutting energy (E_laser) are adjusted synchronously. Parameter adjustment must be performed simultaneously with path adjustment to ensure that gluing and cutting results meet the expected quality standards. This may involve the development of parameter adjustment algorithms and their integration and control with processing equipment.

[0031] Ensuring real-time data transmission and processing: Ensuring real-time data transmission and processing is critical throughout the entire process. Any delay or data loss can lead to inaccurate calibration, impacting processing quality and efficiency. Technologies such as high-speed data buses and redundant designs may be necessary to improve the real-time and reliability of data transmission.

[0032] System stability and reliability: The system must be highly stable and reliable to withstand the long-term demands of industrial production environments. Each component must be highly reliable and feature redundancy to improve overall system stability and prevent production interruptions due to equipment failure.

[0033] System maintenance and expansion: The system design needs to take into account maintainability and scalability to facilitate future upgrades and maintenance. As production needs change, the system may need to be upgraded and expanded to adapt to new processing requirements. Through the above steps, the laser scanning-based steel sheet laser cutting error calibration method can effectively calibrate position deviations during the processing process, improving processing accuracy and efficiency.

[0034] Specifically, the high-precision laser scanner is used to emit a laser beam to measure the three-dimensional coordinates of each point on the surface of the steel sheet to form point cloud data, which is calculated as follows; , Where z is the distance from the surface point of the steel sheet to the laser scanner, t is the round trip time of the laser beam, and c is the speed of light; Use depth information, color information, or spatial distribution features to separate the point cloud data of the steel sheet from the point cloud data of the frame and other interference objects. The calculation is as follows: , Among them, R, G, B, are the values ​​of the color channels; The edge detection algorithm is used to identify the edge points of the steel sheet. The calculation is as follows:

[0035] Where N is the edge strength, and is the gradient of the image in the x and y directions; The actual contour data of the steel sheet is aligned with the theoretical design model, the position offset and rotation angle are calculated, the actual contour is compared with the theoretical contour, the deviation is calculated, the offset and deformation of the steel sheet are evaluated, and the gluing trajectory and cutting path are adjusted according to the calculated position offset and rotation angle. The calculation is as follows: , in, is the adjusted cutting path, is the slope change after adjustment, is the offset change after adjustment.

[0036] Specifically, the step of using a coordinate mapping algorithm to compare the actual contour data with the theoretical coordinates and calculating the position offset and rotation angle of the steel sheet includes using a high-precision laser scanner to perform non-contact edge scanning on the steel sheet to obtain the actual contour data of the steel sheet, determining a common reference point or benchmark, converting the actual contour data into a reference system of theoretical coordinates, using a coordinate mapping algorithm to match and compare the actual data and the theoretical data, applying the calculated translation and rotation parameters to the actual data, checking whether they match the theoretical data, transmitting the calculated position offset and rotation angle to the processing control module, correcting the gluing trajectory and cutting path in real time, and optimizing the coordinate mapping algorithm according to actual application conditions to improve calculation efficiency and accuracy.

[0037] In one embodiment, actual contour data and theoretical coordinate data are obtained by performing non-contact edge scanning of a steel sheet using a high-precision laser scanner. This data includes the three-dimensional coordinates of each point along the steel sheet's edge. The theoretical coordinate data, derived from design drawings or CAD models, represents the ideal position and shape of the steel sheet.

[0038] Convert the actual data to the reference system of theoretical coordinates, determine a common reference point or benchmark, and convert the actual contour data to the reference system of theoretical coordinates. This step ensures that the two sets of data can be compared in the same coordinate system.

[0039] Apply a coordinate mapping algorithm to calculate the deviation. Use a coordinate mapping algorithm (such as the least squares method) to match and compare the actual data with the theoretical data. Mathematically, calculate the translation deviation (position offset Δx, Δy) and rotation deviation (rotation angle θ) between the actual and theoretical data. The algorithm's goal is to minimize the difference between the actual and theoretical data and find the optimal translation and rotation parameters.

[0040] Verify the accuracy of the calculated results by applying the calculated translation and rotation parameters to the actual data to check whether they better match the theoretical data. A high degree of match indicates that the calculation results are reliable; a low degree of match requires re-examination of the algorithm or data processing steps.

[0041] Perform data denoising and filtering. Since actual measurement data may contain noise, which may affect the accuracy of the algorithm, denoising and filtering are performed during data processing to reduce the impact of noise on the results and improve the robustness of the algorithm.

[0042] The calculated deviation parameters are applied to adjust the machining path and parameters. The calculated position offset and rotation angle are transmitted to the machining control module, which corrects the gluing trajectory and cutting path in real time. Simultaneously adjust machining parameters such as gluing width (W_c) and cutting energy (E_laser) to ensure that the machining parameters dynamically match the actual position of the steel sheet.

[0043] Optimize the algorithm and system stability. Based on actual application scenarios, optimize the coordinate mapping algorithm to improve computational efficiency and accuracy. Ensure system stability and reliability, especially in industrial production environments, for long-term stable operation and avoid production interruptions due to equipment failure. Through the above steps, the coordinate mapping algorithm can be effectively used to calculate the position offset and rotation angle of the steel sheet, thereby calibrating machining errors and improving machining accuracy and efficiency.

[0044] Specifically, the step of correcting the gluing trajectory and cutting path in real time according to the position offset and rotation angle includes adjusting the coordinates of each gluing point according to the calculated offset and rotation angle, sending the adjusted coordinates to the gluing robot, performing the gluing operation, adjusting the coordinates of each cutting point according to the calculated offset and rotation angle, continuously monitoring the adjusted trajectory, and repeating the adjustment process when new offset or rotation is found.

[0045] Specifically, the steps of synchronously adjusting the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters with physical positions include using high-precision sensors to collect the position, shape and surface feature data of the workpiece in real time, denoising and downsampling the collected data to ensure data accuracy and processing efficiency, comparing the actual position with the theoretical model, calculating the position offset, calculating the rotation angle of the workpiece by comparing the actual position with the theoretical model, adjusting the motion trajectory of the gluing robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width according to the roughness of the workpiece surface and the actual position, adjusting the motion path of the cutting robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width and cutting energy according to the real-time feedback data during the processing to ensure dynamic matching of processing parameters with the physical position, and using high-precision detection equipment to detect the gluing width and cutting quality after the processing is completed.

[0046] In one embodiment, a laser scanner, a gluing robot, a cutting robot, and a data processing unit are integrated onto the same work platform. The communication interfaces and data formats between the devices are ensured to be compatible. A standard workpiece is used for system calibration to ensure the measurement accuracy of the laser scanner and the accuracy of the robot's movements. The adjustment range of the gluing width and cutting energy is calibrated to ensure that they can cover the expected processing requirements. During the processing, the three-dimensional coordinate data of the workpiece surface is collected in real time. The position offset and rotation angle are calculated using data processing software. Based on the calculation results, the corresponding gluing width and cutting energy adjustment amount are calculated.

[0047] The adjusted glue coating width and cutting energy parameters are sent to the glue coating and cutting robots. The glue coating width and cutting energy are adjusted in real time to ensure that the processing parameters dynamically match the actual position of the workpiece. The glue coating and cutting processes are continuously monitored and feedback data is collected. Based on this feedback, algorithms and parameters are dynamically optimized to improve the accuracy and efficiency of adjustments. After processing is completed, the glue coating width and cut quality are tested using high-precision testing equipment. The test results are compared with the theoretical model to verify the effectiveness of the system adjustments. Based on actual processing results, the data processing algorithm and control logic are optimized. The system is regularly calibrated and maintained to ensure long-term stability and accuracy.

[0048] Real-time data acquisition and processing: Ensuring real-time data acquisition and processing is the foundation for dynamic adjustment. Precise position offset and rotation angle calculation: Accurate calculation results are key to adjusting the glue coating width and cutting energy. Efficient parameter adjustment algorithm: A fast and accurate adjustment algorithm ensures real-time matching of processing parameters. Stable and reliable communication system: Ensures stable data transmission between devices, avoiding adjustment errors caused by communication delays. Real-time feedback and optimization mechanism: Dynamically optimizes and adjusts parameters based on feedback data to improve system adaptability and stability.

[0049] Improved Processing Quality: Dynamically adjusts the glue coating width and cutting energy to ensure that processing parameters match the actual workpiece position, improving the accuracy and quality of glue coating and cutting. Improved Processing Efficiency: Real-time adjustment reduces processing errors caused by position offset and shape changes, reducing rework and adjustment time, and improving processing efficiency. Enhanced System Adaptability: The dynamic matching mechanism enables the system to adapt to workpieces of different shapes and positions, enhancing the system's versatility and adaptability.

[0050] Data processing delay: High-precision data acquisition and complex calculations may cause data processing delays, affecting the real-time performance of adjustments. Solution: Use high-performance computing hardware and optimized data processing algorithms to reduce data processing time. Sensor accuracy limitations: The accuracy of the sensor may affect the calculation accuracy of the position offset and rotation angle, thereby affecting the adjustment effect. Solution: Use high-precision sensors and perform regular calibration to ensure the accuracy of the measurement. Communication delay between devices: Communication delay between devices may cause delayed execution of adjustment instructions, affecting the real-time performance of adjustments. Solution: Use low-latency communication protocols and hardware to ensure real-time data transmission. Algorithm robustness: Complex workpiece shapes and dynamic changes may pose challenges to the robustness of the adjustment algorithm. Solution: Design an adjustment algorithm with high robustness that can adapt to various workpiece shapes and position changes.

[0051] Through the above-described embodiments, a system for dynamically adjusting the gluing width and cutting energy based on real-time data acquisition and analysis can be implemented. This system can adjust processing parameters in real time based on the actual position and shape of the workpiece, ensuring dynamic matching of processing parameters with physical position, thereby improving processing quality and efficiency.

[0052] According to one aspect of the present invention, a laser scanning-based steel sheet laser cutting error calibration system is provided, comprising: High-precision laser scanner for non-contact edge scanning of the steel sheet under the screen frame; A data processing module is used to receive the actual contour data obtained by the laser scanner and calculate the position offset and rotation angle of the steel sheet through a coordinate mapping algorithm; The processing control module is used to correct the gluing trajectory and cutting path in real time according to the position offset and rotation angle, and synchronously adjust the gluing width and cutting energy processing parameters.

[0053] Specifically, the high-precision laser scanner uses a long-wavelength laser for scanning to penetrate the gaps in the mesh frame. It also includes a point cloud filtering algorithm module for removing mesh frame interference data and accurately extracting steel sheet edge features. The coordinate mapping algorithm includes an edge feature-based matching algorithm for generating actual contour data. The processing control module also includes a real-time compensation module for compensating for the cumulative errors caused by steel sheet offset and mesh frame deformation.

[0054] In one embodiment, the hardware architecture includes a laser scanner for real-time scanning of the steel sheet surface to obtain its three-dimensional position and shape information. A high-precision sensor, mounted on a cutting robot, monitors the position and status of the cutting head in real time. The cutting robot is equipped with a high-precision servo motor capable of adjusting the cutting path and energy in real time based on calibration results. A data acquisition and processing unit, typically a high-performance computer or industrial controller, processes data from the laser scanner and sensor. A communication module ensures real-time data communication between the laser scanner, sensor, cutting robot, and data processing unit.

[0055] The software architecture includes a data acquisition module responsible for acquiring real-time data from laser scanners and sensors. The data processing module performs offset and rotation angle calculations, comparing actual scan data with theoretical models to calculate position offsets and rotation angles. The glue coating width and cutting energy adjustment module dynamically adjusts the glue coating width and cutting energy based on the calculated results. The control module sends the adjusted parameters to the cutting robot, adjusting the cutting path and energy in real time. The real-time feedback and calibration module continuously monitors the cutting process and dynamically optimizes and adjusts parameters based on feedback data. The system optimization and maintenance module regularly calibrates and optimizes the system to ensure long-term stability and accuracy.

[0056] Data flow and control logic, data acquisition: Laser scanners and sensors collect real-time data on the steel sheet surface and cutting head status. Data processing: Calculate position offset and rotation angle, adjust glue coating width and cutting energy. Control execution: The cutting robot adjusts the cutting path and energy in real time based on the adjusted parameters. Feedback and optimization: Based on feedback data during the cutting process, dynamically optimize and adjust parameters to ensure cutting accuracy. System integration: Integrate the laser scanner, sensor, cutting robot, and data processing unit onto the same work platform. Ensure compatibility of communication interfaces and data formats between various devices. Use standard workpieces for system calibration to ensure the measurement accuracy of the laser scanner and sensor. Calibrate the cutting robot to ensure its motion accuracy and controllable cutting energy.

[0057] Data acquisition and processing: During the cutting process, real-time data on the steel sheet surface and cutting head status are collected. The data processing module is used to calculate position offset and rotation angle, and adjust the glue coating width and cutting energy.

[0058] Real-time control and adjustment: The cutting robot's path and energy are adjusted in real time based on adjusted parameters. The cutting process is continuously monitored, and parameters are dynamically optimized and adjusted based on feedback data. Quality control and verification: After cutting, high-precision testing equipment is used to inspect the cut quality. Test results are compared with theoretical models to verify system calibration.

[0059] System optimization and maintenance: Optimize data processing algorithms and control logic based on actual cutting results. Regularly calibrate and maintain the system to ensure long-term stability and accuracy. Through the above embodiments, a laser scanning-based steel sheet laser cutting error calibration system can be implemented, ensuring precise adjustment of the cutting path and energy, improving processing quality and efficiency.

[0060] In the laser scanning-based steel sheet laser cutting error calibration system and method of the present invention, a high-precision laser scanner is used to perform non-contact edge scanning on the steel sheet below the screen frame to obtain actual contour data of the steel sheet; a coordinate mapping algorithm is used to compare the actual contour data with the theoretical coordinates to calculate the position offset and rotation angle of the steel sheet; according to the position offset and rotation angle, the gluing trajectory and cutting path are corrected in real time; the gluing width and cutting energy processing parameters are synchronously adjusted to achieve dynamic matching of processing parameters with physical positions, and the cutting parameters are adjusted by analyzing these data, and finally the calibration adjustment module calibrates and adjusts the laser cutting equipment according to instructions, thereby achieving precise laser cutting and improving cutting quality and efficiency.

[0061] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above steps when executing the computer program.

[0062] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the above steps when executed by a processor.

[0063] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and RAM bus dynamic RAM (RDRAM).

[0064] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0065] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for calibrating errors in laser cutting of steel sheets based on laser scanning, characterized in that: include: Use a high-precision laser scanner to perform non-contact edge scanning on the steel sheet below the screen frame to obtain the actual contour data of the steel sheet; The actual contour data is compared with the theoretical coordinates using a coordinate mapping algorithm to calculate the position offset and rotation angle of the steel sheet; According to the position offset and rotation angle, the gluing track and cutting path are corrected in real time; Synchronously adjust the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters and physical positions.

2. The method for calibrating errors in laser cutting of steel sheets based on laser scanning according to claim 1, characterized in that: The step of performing non-contact edge scanning on the steel sheet below the screen frame by using a high-precision laser scanner to obtain actual contour data of the steel sheet includes installing the high-precision laser scanner at an appropriate position of the processing equipment to ensure that it can cover the entire area of ​​the screen frame and the steel sheet, starting the laser scanner, and starting non-contact edge scanning of the steel sheet below the screen frame. The laser scanner measures the three-dimensional coordinates of each point on the edge of the steel sheet by emitting a laser beam and receiving the reflected signal, and transmits the obtained actual contour data to the data processing module. The data processing module applies a coordinate mapping algorithm to compare the actual contour data with the theoretical design coordinates, and calculates the offset and rotation angle of the steel sheet relative to the theoretical position based on the results of the coordinate mapping algorithm, and transmits the calculated offset and rotation angle to the processing control module. According to the actual position and shape of the steel sheet, the glue coating width and cutting energy are synchronously adjusted.

3. The steel sheet laser cutting error calibration method based on laser scanning according to claim 1, characterized in that: The high-precision laser scanner is used to emit a laser beam to measure the three-dimensional coordinates of each point on the surface of the steel sheet to form point cloud data, which is calculated as follows; ， Where z is the distance from the surface point of the steel sheet to the laser scanner, t is the round trip time of the laser beam, and c is the speed of light; Use depth information, color information, or spatial distribution features to separate the point cloud data of the steel sheet from the point cloud data of the frame and other interference objects. The calculation is as follows: , Among them, R, G, B, are the values ​​of the color channels; The edge detection algorithm is used to identify the edge points of the steel sheet. The calculation is as follows: , Where N is the edge strength, and is the gradient of the image in the x and y directions; The actual contour data of the steel sheet is aligned with the theoretical design model, the position offset and rotation angle are calculated, the actual contour is compared with the theoretical contour, the deviation is calculated, the offset and deformation of the steel sheet are evaluated, and the gluing trajectory and cutting path are adjusted according to the calculated position offset and rotation angle. The calculation is as follows: ， in, is the adjusted cutting path, is the slope change after adjustment, is the offset change after adjustment.

4. The method for calibrating steel sheet laser cutting errors based on laser scanning according to claim 1, characterized in that: The steps of using a coordinate mapping algorithm to compare the actual contour data with the theoretical coordinates and calculating the position offset and rotation angle of the steel sheet include using a high-precision laser scanner to perform non-contact edge scanning on the steel sheet to obtain the actual contour data of the steel sheet, determining a common reference point or benchmark, converting the actual contour data into a reference system of theoretical coordinates, using a coordinate mapping algorithm to match and compare the actual data and the theoretical data, applying the calculated translation and rotation parameters to the actual data, checking whether they match the theoretical data, transmitting the calculated position offset and rotation angle to the processing control module, correcting the gluing trajectory and cutting path in real time, and optimizing the coordinate mapping algorithm according to actual application conditions to improve calculation efficiency and accuracy.

5. The method for calibrating steel sheet laser cutting errors based on laser scanning according to claim 1, characterized in that: The step of correcting the gluing trajectory and cutting path in real time based on the position offset and rotation angle includes adjusting the coordinates of each gluing point according to the calculated offset and rotation angle, sending the adjusted coordinates to the gluing robot, performing the gluing operation, adjusting the coordinates of each cutting point according to the calculated offset and rotation angle, continuously monitoring the adjusted trajectory, and repeating the adjustment process when a new offset or rotation is found.

6. The method for calibrating steel sheet laser cutting errors based on laser scanning according to claim 5, characterized in that: The steps of synchronously adjusting the gluing width and cutting energy processing parameters to achieve dynamic matching of processing parameters with physical positions include using high-precision sensors to collect the position, shape and surface feature data of the workpiece in real time, denoising and downsampling the collected data to ensure data accuracy and processing efficiency, comparing the actual position with the theoretical model, calculating the position offset, calculating the rotation angle of the workpiece by comparing the actual position with the theoretical model, adjusting the motion trajectory of the gluing robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width according to the roughness of the workpiece surface and the actual position, adjusting the motion path of the cutting robot according to the calculated offset and rotation angle, dynamically adjusting the gluing width and cutting energy according to real-time feedback data during the processing to ensure dynamic matching of processing parameters with physical positions, and using high-precision detection equipment to detect the gluing width and cutting quality after the processing is completed.

7. A laser cutting error calibration system for steel sheets based on laser scanning, characterized in that: include: High-precision laser scanner for non-contact edge scanning of the steel sheet under the screen frame; A data processing module is used to receive the actual contour data obtained by the laser scanner and calculate the position offset and rotation angle of the steel sheet through a coordinate mapping algorithm; The processing control module is used to correct the gluing trajectory and cutting path in real time according to the position offset and rotation angle, and synchronously adjust the gluing width and cutting energy processing parameters.

8. The steel sheet laser cutting error calibration system based on laser scanning according to claim 7, characterized in that: The high-precision laser scanner uses long-wavelength laser for scanning to penetrate the gaps between the screen frames. It also includes a point cloud filtering algorithm module for removing screen frame interference data and accurately extracting steel sheet edge features. The coordinate mapping algorithm includes an edge feature-based matching algorithm for generating actual contour data. The processing control module also includes a real-time compensation module for compensating for the accumulated errors caused by steel sheet offset and screen frame deformation.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the steel sheet laser cutting error calibration method based on laser scanning according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the steel sheet laser cutting error calibration method based on laser scanning according to any one of claims 1 to 6 are implemented.

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