Method and equipment for calibrating horizontal distance between different ink group nozzles for Single Pass printing and storage medium

Abstract

The invention discloses a method and equipment for calibrating the horizontal distance between different ink set nozzles for Single Pass printing and a storage medium, and relates to the technical field of printing calibration, first, a composite calibration pattern containing a coarse adjustment area and a fine adjustment area is generated, the coarse adjustment area adopts a measuring scale with reference scales, the fine adjustment area comprises multiple levels of thick and thin line sets, and the multiple levels of thick and thin line sets are arranged in the composite calibration pattern; the calibration pattern is exported as a PRN format file and is adapted according to a target printing resolution, after the calibration pattern is output to a test medium through a printing system, offset measurement values of a coarse adjustment area and a fine adjustment area are obtained, arithmetic superposition processing is carried out to generate horizontal calibration parameters between nozzle groups, and the horizontal calibration parameters are used for calibration. And meanwhile, the scale spacing of the measuring scale and the line width ratio of the line group are dynamically adjusted according to the target printing resolution, the calibration precision is ensured, the calibration efficiency is remarkably improved by combining the coarse adjustment step and the fine adjustment step, and the printing requirement of any resolution is met.

Description

Technical Field

[0001] The present invention relates to the field of printing calibration technology, and more particularly to a method, device and storage medium for calibrating the horizontal spacing between nozzles of different ink groups for SinglePass printing. Background Art

[0002] SinglePass printers are widely used in industrial and commercial fields due to their efficient printing method. However, calibrating the horizontal spacing between nozzles in different ink groups has always been one of their core technical challenges. Traditional calibration methods mostly use a single calibration pattern, which is difficult to meet the needs of coarse and fine adjustment at the same time, resulting in a cumbersome and inefficient calibration process. These methods usually require complex steps and multiple tests, which is not only time-consuming, but may also affect the final calibration accuracy due to the accumulation of errors during the testing process. When facing printing needs with different resolutions, the adaptability and flexibility of the calibration pattern of the existing technology are also insufficient, and it is unable to support accurate calibration at any resolution. Therefore, there is an urgent need for an efficient calibration method that can simultaneously obtain coarse and fine adjustment calibration values to improve calibration efficiency and adaptability and meet the high requirements of modern printing technology for accuracy and flexibility.

[0003] The existing SinglePass printer nozzle calibration method is inefficient, cannot meet both coarse and fine adjustment requirements, and does not support arbitrary resolution. Summary of the Invention

[0004] In order to overcome the problems of low efficiency of existing SinglePass printer nozzle calibration methods, inability to simultaneously meet coarse and fine adjustment requirements, and lack of support for arbitrary resolution, the present invention discloses a horizontal spacing calibration method, device and storage medium between different ink group nozzles for SinglePass printing, which can effectively solve the above-mentioned problems.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows: A method for calibrating the horizontal spacing between nozzles of different ink groups for SinglePass printing comprises the following steps: Generating a composite calibration pattern comprising a coarse adjustment calibration area and a fine adjustment calibration area, wherein the coarse adjustment calibration area adopts a measuring ruler having a reference scale, and the fine adjustment calibration area comprises a multi-level thick and thin line group that can be superimposed and identified; Outputting the composite calibration pattern to a test medium via a printing system, wherein the calibration pattern is exported as a PRN format file and adapted to a target printing resolution; Obtaining a first offset measurement value of the coarse adjustment calibration area and a second offset measurement value of the fine adjustment calibration area; Performing arithmetic superposition processing on the first offset measurement value and the second offset measurement value to generate a horizontal calibration parameter between the nozzle groups; The scale spacing of the measuring ruler and the line width ratio of the line group are dynamically adjusted according to the target printing resolution to generate a calibration implementation scheme that is adaptive to the resolution.

[0006] Preferably, generating the composite calibration pattern specifically includes: A scale ruler with unidirectional equidistant distribution is constructed as a coarse adjustment calibration base pattern, wherein each scale unit contains a measurement reference of an integer multiple of pixels; Arrange a group of parallel lines comprising at least two levels of different line widths within the measurement interval of the base pattern as a fine adjustment calibration area; The base pattern and the fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration diagram that matches the target printing device and export the PRN format file.

[0007] Preferably, the arithmetic superposition process includes: Establishing a linear compensation relationship between the coarse adjustment measurement value and the fine adjustment measurement value, wherein the compensation relationship is realized by the reference unit of the scale; Performing integer multiple correction on the first offset measurement value, and performing line width ratio conversion on the second offset measurement value; The coarse adjustment correction value and the fine adjustment correction value after unit conversion are arithmetically added to generate the final horizontal calibration parameter.

[0008] Preferably, the dynamic adjustment of resolution includes: Construct a resolution-parameter mapping table, where each resolution corresponds to a specific combination of scale spacing and line width parameters; Adaptively rasterize the calibration pattern using an image processing algorithm to maintain the measurement ratio between the coarse adjustment area and the fine adjustment area; When a resolution change is detected, the vector parameters of the calibration pattern are automatically reconstructed without changing its measurement logic structure.

[0009] Preferably, it also includes: A multi-nozzle group collaborative calibration mechanism is established, the mechanism including: Generate a unique calibration signature for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns of different ink sets; The reference system is used to achieve cross-calibration parameter synchronization among multiple groups of nozzles.

[0010] Preferably, the cross-calibration parameter synchronization includes: Detecting feature points in overlapping areas of calibration patterns of adjacent nozzle groups; Calculating a geometric transformation matrix of the feature point group, wherein the transformation matrix includes rotation, translation, and scaling parameters; The independent calibration parameters of each nozzle group are unified into the global coordinate system through an iterative optimization algorithm.

[0011] Preferably, obtaining the offset measurement value includes: Use a machine vision system to capture the printed calibration pattern; Preprocessing the captured image includes: Apply non-uniform illumination compensation algorithm to eliminate medium reflection differences; Multi-scale feature fusion technology is used to enhance the edge features of the calibration mark; Key measurement fiducials in the calibration pattern are identified using a deep learning model.

[0012] Preferably, a calibration verification mechanism is also included: After completing parameter calibration, a verification pattern containing test lines is automatically generated; analyzing continuity characteristics of line junctions in the verification pattern; When continuous deviations exceeding a threshold are detected, a dynamic recalibration cycle is triggered.

[0013] Preferably, a level calibration electronic device for SinglePass printing comprises: a pattern generation module for creating a composite calibration pattern with resolution adaptation; Print control module, used to accurately control the print head group to output calibration patterns; a visual analysis module, for acquiring and processing the printed calibration pattern image; A parameter calculation module, used to execute the above-mentioned level calibration algorithm; The calibration optimization module is used to establish a nozzle group characteristic model based on historical calibration data and optimize calibration parameters.

[0014] Preferably, a computer-readable storage medium stores a computer program, and when the program is executed by a processor, each step of the calibration method described above is implemented.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention effectively solves the problems of the existing SinglePass printer nozzle calibration method being inefficient, unable to meet the coarse adjustment and fine adjustment requirements at the same time, and not supporting arbitrary resolutions by providing an innovative calibration method. The existing calibration method usually adopts a single calibration pattern and cannot obtain the coarse adjustment and fine adjustment values at the same time, resulting in a complicated and inefficient calibration process. The present invention generates a composite calibration pattern containing coarse adjustment and fine adjustment areas, so that the printer can obtain two offset measurement values in one printing. The measurement scale of the coarse adjustment area provides an approximate calibration value, while the multi-level thick and thin line group of the fine adjustment area is used for precise adjustment. After the two measurement values are arithmetically superimposed, a calibration result can be generated. Accurate calibration parameters are generated, thereby improving calibration efficiency. In addition, to adapt to different printing resolutions, this method constructs a resolution-parameter mapping table and uses an image processing algorithm to adaptively rasterize the calibration pattern, automatically adjusting the scale spacing of the measurement ruler and the line width ratio of the line group to ensure that the calibration pattern can maintain measurement accuracy at any resolution, thereby enhancing the flexibility and practicality of the method. At the same time, the establishment of a multi-nozzle group collaborative calibration mechanism realizes the synchronization of cross-calibration parameters between nozzles in different ink groups, further improving the accuracy and reliability of calibration. Finally, a machine vision system is used to capture the printed calibration pattern, and a variety of image processing technologies and deep learning models are applied for analysis to improve the accuracy and stability of offset measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the implementation methods or the description of the prior art. Obviously, the drawings described below are merely exemplary. For ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without any creative work.

[0017] Figure 1 It is a step diagram of the method of the present invention; Figure 2 Schematic diagram of the composite calibration pattern for the horizontal spacing of the printer nozzles of the present invention. DETAILED DESCRIPTION

[0018] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent; In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size; It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0019] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments. Example

[0020] A method for calibrating the horizontal spacing between nozzles of different ink groups for SinglePass printing comprises the following steps: Generating a composite calibration pattern comprising a coarse adjustment calibration area and a fine adjustment calibration area, wherein the coarse adjustment calibration area adopts a measuring ruler having a reference scale, and the fine adjustment calibration area comprises a multi-level thick and thin line group that can be superimposed and identified; Outputting the composite calibration pattern to a test medium via a printing system, wherein the calibration pattern is exported as a PRN format file and adapted to a target printing resolution; Obtaining a first offset measurement value of the coarse adjustment calibration area and a second offset measurement value of the fine adjustment calibration area; Performing arithmetic superposition processing on the first offset measurement value and the second offset measurement value to generate a horizontal calibration parameter between the nozzle groups; The scale spacing of the measuring ruler and the line width ratio of the line group are dynamically adjusted according to the target printing resolution to generate a calibration implementation scheme that is adaptive to the resolution.

[0021] Generating the composite calibration pattern specifically includes: A scale ruler with unidirectional equidistant distribution is constructed as a coarse adjustment calibration base pattern, wherein each scale unit contains a measurement reference of an integer multiple of pixels; Arrange a group of parallel lines comprising at least two levels of different line widths within the measurement interval of the base pattern as a fine adjustment calibration area; The base pattern and the fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration diagram that matches the target printing device and export the PRN format file.

[0022] The arithmetic superposition process includes: Establishing a linear compensation relationship between the coarse adjustment measurement value and the fine adjustment measurement value, wherein the compensation relationship is realized by the reference unit of the scale; Performing integer multiple correction on the first offset measurement value, and performing line width ratio conversion on the second offset measurement value; The coarse adjustment correction value and the fine adjustment correction value after unit conversion are arithmetically added to generate the final horizontal calibration parameter.

[0023] The dynamic adjustment of resolution includes: Construct a resolution-parameter mapping table, where each resolution corresponds to a specific combination of scale spacing and line width parameters; Adaptively rasterize the calibration pattern using an image processing algorithm to maintain the measurement ratio between the coarse adjustment area and the fine adjustment area; When a resolution change is detected, the vector parameters of the calibration pattern are automatically reconstructed without changing its measurement logic structure.

[0024] Also includes: A multi-nozzle group collaborative calibration mechanism is established, the mechanism including: Generate a unique calibration signature for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns of different ink sets; The reference system is used to achieve cross-calibration parameter synchronization among multiple groups of nozzles.

[0025] Preferably, the cross-calibration parameter synchronization includes: Detecting feature points in overlapping areas of calibration patterns of adjacent nozzle groups; Calculating a geometric transformation matrix of the feature point group, wherein the transformation matrix includes rotation, translation, and scaling parameters; The independent calibration parameters of each nozzle group are unified into the global coordinate system through an iterative optimization algorithm.

[0026] Preferably, obtaining the offset measurement value includes: Use a machine vision system to capture the printed calibration pattern; Preprocessing the captured image includes: Apply non-uniform illumination compensation algorithm to eliminate medium reflection differences; Multi-scale feature fusion technology is used to enhance the edge features of the calibration mark; Key measurement fiducials in the calibration pattern are identified using a deep learning model.

[0027] Also includes calibration verification mechanisms: After completing parameter calibration, a verification pattern containing test lines is automatically generated; analyzing continuity characteristics of line junctions in the verification pattern; When continuous deviations exceeding a threshold are detected, a dynamic recalibration cycle is triggered.

[0028] A leveling electronic device for SinglePass printing, comprising: a pattern generation module for creating a composite calibration pattern with resolution adaptation; Print control module, used to accurately control the print head group to output calibration patterns; a visual analysis module, for acquiring and processing the printed calibration pattern image; A parameter calculation module, used to execute the above-mentioned level calibration algorithm; The calibration optimization module is used to establish a nozzle group characteristic model based on historical calibration data and optimize calibration parameters.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the various steps of the calibration method described above.

[0030] In the specific implementation, please refer to Figure 1-2 Before implementing the SinglePass printer nozzle calibration method, build a stable and accurate printing test environment, select a SinglePass printer with high-precision printing capabilities, ensure that its nozzle is in good condition and the ink supply system is working properly, and prepare suitable test media, such as high-quality printing paper or a dedicated calibration test board. These media should have a flat surface, uniform texture, and good adsorption to ink to ensure clear printing and accurate measurement of the calibration pattern.

[0031] Install and configure the printer driver software to ensure it is compatible with the printer hardware and can output PRN format files. Prepare a computer with image processing software and deep learning framework installed to run the machine vision system and data analysis algorithms.

[0032] Use a professional calibration chart drawing tool to design a composite calibration pattern. The pattern is divided into a coarse adjustment calibration area and a fine adjustment calibration area. The coarse adjustment area uses a measuring ruler with a reference scale. Each scale unit represents a certain pixel value. For example, each small grid represents 10 pixels. The fine adjustment area contains multiple levels of thick and thin line groups that can be superimposed and identified. The line width and spacing of these line groups are designed to reflect the slight horizontal spacing deviation between the print heads.

[0033] When designing the calibration pattern, the characteristics of different printing devices are taken into consideration. The base pattern and fine-tuning line group are parameterized in terms of resolution, and a resolution-parameter mapping table is constructed, in which each resolution corresponds to a specific combination of scale spacing and line width parameters. For example, for common resolutions such as 300dpi, 600dpi, and 1200dpi, corresponding scale spacing and line width parameters are set respectively. The calibration pattern is adaptively rasterized using an image processing algorithm to ensure that the measurement ratio relationship between the coarse and fine adjustment areas remains consistent at different resolutions.

[0034] After completing the design of the calibration pattern, export it as a PRN format file. The PRN file is a universal printer command file format that can be recognized and executed by various printers. During the export process, the calibration pattern is optimized according to the characteristics of the target printing device to ensure its accuracy and clarity when printed.

[0035] Import the generated PRN file into the printer driver software. Before importing, check the printing parameter settings, including paper size, print quality, color mode, etc., to ensure that they match the test media and calibration requirements. Click the Start Print button and the printer will start printing.

[0036] During the printing process, observe the working status of the printer to ensure that the nozzle moves smoothly and the ink is sprayed evenly. After printing is completed, remove the test media from the printer and check the printed calibration pattern. The calibration pattern should be clearly visible, with neat line edges and no obvious blur or deformation. If the printing effect is found to be poor, you may need to adjust the printer parameters or check the nozzle status and then print again.

[0037] A machine vision system is used to capture the printed calibration pattern. The machine vision system includes a high-resolution camera, an image acquisition card, and corresponding image processing software. The test medium is placed within the camera's shooting range, and the camera's position and focal length are adjusted to ensure that the entire calibration pattern can be clearly captured.

[0038] The collected images are preprocessed. First, a non-uniform illumination compensation algorithm is applied to eliminate image brightness inconsistencies caused by differences in medium reflection or uneven ambient lighting. Then, multi-scale feature fusion technology is used to enhance the edge features of the calibration marks, making the edges of the lines clearer and sharper. Finally, a deep learning model is used to identify key measurement reference points in the calibration pattern, such as the scale lines and the line width change points of the thick and thin line groups. The deep learning model can use architectures such as convolutional neural networks (CNNs) and learn from a large number of training samples to accurately locate and identify these key points.

[0039] After obtaining the first offset measurement value of the coarse adjustment calibration area and the second offset measurement value of the fine adjustment calibration area, arithmetic superposition processing is started. First, a linear compensation relationship between the coarse adjustment measurement value and the fine adjustment measurement value is established. Based on the base unit of the scale, such as 10 pixels per small grid, the coarse adjustment measurement value is converted into a value expressed in the base unit. For example, if the scale spacing of the coarse adjustment area is 100 pixels, and each small grid represents 10 pixels, then the actual length corresponding to each scale unit can be calculated based on the resolution of the printer.

[0040] The first offset measurement is corrected by an integer multiple. Since the scale of the coarse adjustment area is discrete, the measured offset may be an integer multiple of the scale unit plus a remainder. This remainder is retained for subsequent fine adjustment compensation. For the second offset measurement, it is converted according to the line width ratio of the fine adjustment area. If the line width of the fine adjustment area is 1 pixel, 2 pixels, 4 pixels, etc., then the precise offset can be calculated based on the measured line misalignment.

[0041] The final horizontal calibration parameters are generated by arithmetically adding the coarse adjustment correction value and the fine adjustment correction value after unit conversion. The formula is: Horizontal calibration parameter = coarse adjustment correction value + fine adjustment correction value. This calibration parameter reflects the actual horizontal spacing deviation between the nozzles of different ink groups and will be used for subsequent printer nozzle position adjustment.

[0042] Dynamically adjust the scale spacing of the measurement ruler and the line width ratio of the line group according to the target print resolution. The specific operations are as follows: When a resolution change is detected, the pre-built resolution-parameter mapping table is searched to obtain the corresponding new scale spacing and line width parameter combination. For example, when changing from 300dpi to 600dpi, the scale spacing may need to be halved, and the line width parameter also needs to be adjusted accordingly.

[0043] The image processing algorithm is called to perform adaptive rasterization on the calibration pattern. Rasterization refers to the process of converting vector graphics into bitmap images. In this process, it is crucial to maintain the measurement ratio between the coarse adjustment area and the fine adjustment area. By adjusting the rasterization parameters, such as the sampling rate and interpolation algorithm, it is ensured that each part of the calibration pattern can accurately reflect the actual measurement requirements at the new resolution.

[0044] Automatically reconstruct the vector parameters of the calibration pattern without changing its measurement logic structure. Vector parameters include the starting point, end point, line width, color, etc. The adjustment of these parameters should be based on the new resolution and the parameter combination in the mapping table. For example, if the original scale spacing is 100 pixels and it becomes 50 pixels at the new resolution, the position and length of the scale lines need to be recalculated while maintaining the measurement range and accuracy of the entire scale.

[0045] Regenerate the PRN format file and reprint the calibration pattern according to the above steps to obtain new offset measurements. Perform the arithmetic overlay process again to generate horizontal calibration parameters appropriate for the new resolution.

[0046] In order to achieve collaborative calibration between multiple nozzle groups, exclusive calibration feature identifiers are generated for each ink group nozzle. These identifiers can be specific patterns, color combinations or position marks to distinguish the calibration patterns of different nozzle groups.

[0047] By alternately printing calibration patterns for different ink groups, a relative position reference system is established. For example, the calibration pattern for the first group of nozzles is printed first, and then the calibration pattern for the second group of nozzles is printed at the same position or an adjacent position. By comparing the relative positions of these two groups of patterns, the horizontal spacing deviation between the nozzle groups can be determined.

[0048] Using the relative position reference system, cross-calibration parameter synchronization between multiple groups of printheads is achieved. The specific method is as follows: Detect feature points in the overlapping area of the calibration patterns of adjacent printhead groups. These feature points can be specific marks or line intersections in the calibration patterns, and use image processing algorithms to accurately locate the positions of these feature points.

[0049] Calculate the geometric transformation matrix of the feature point group. The geometric transformation matrix includes rotation, translation and scaling parameters, which can describe the relative position relationship between the two nozzle groups. Through the least squares method or other optimization algorithms, according to the coordinate difference of the feature points, calculate the transformation matrix that best reflects the actual position deviation.

[0050] Through an iterative optimization algorithm, the independent calibration parameters of each nozzle group are unified into the global coordinate system. The iterative optimization algorithm can be a gradient descent method, a genetic algorithm, etc. Its purpose is to find an optimal set of calibration parameters in the global coordinate system so that the calibration patterns of all nozzle groups conform to the expected relative position relationship. After multiple iterative calculations, the calibration parameters are continuously adjusted until the predetermined convergence conditions or accuracy requirements are met.

[0051] After completing the parameter calibration, a verification pattern containing test lines is automatically generated. The design of the verification pattern should cover various possible line combinations and directions to fully test the effect of the printhead calibration, such as horizontal lines, vertical lines, diagonal lines, and combinations of lines of different thicknesses.

[0052] A verification pattern is printed and an image is captured using a machine vision system. The captured image is also preprocessed, including steps such as illumination compensation and feature enhancement. The continuity features of the line junctions in the verification pattern are then analyzed. The accuracy of the calibration parameters is evaluated by detecting line misalignment, breakpoints, overlaps, etc.

[0053] When continuous deviations exceeding a threshold are detected, a dynamic recalibration cycle is triggered. The threshold can be pre-set based on actual printing requirements and device performance. If the deviation exceeds the threshold, it indicates that there may be a problem with the current calibration parameters. The calibration process needs to be re-executed, new calibration parameters generated, and verified again until the verification results meet the requirements. The calibration process is considered complete. The above detailed implementation steps can effectively improve calibration efficiency and support printing requirements of any resolution.

[0054] The same or similar reference numerals correspond to the same or similar components; The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent; Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A method for calibrating the horizontal spacing between nozzles of different ink groups for SinglePass printing, characterized in that: The following steps are involved: Generating a composite calibration pattern comprising a coarse adjustment calibration area and a fine adjustment calibration area, wherein the coarse adjustment calibration area adopts a measuring ruler having a reference scale, and the fine adjustment calibration area comprises a multi-level thick and thin line group that can be superimposed and identified; Outputting the composite calibration pattern to a test medium via a printing system, wherein the calibration pattern is exported as a PRN format file and adapted to a target printing resolution; Obtaining a first offset measurement value of the coarse adjustment calibration area and a second offset measurement value of the fine adjustment calibration area; Performing arithmetic superposition processing on the first offset measurement value and the second offset measurement value to generate a horizontal calibration parameter between the nozzle groups; The scale spacing of the measuring ruler and the line width ratio of the line group are dynamically adjusted according to the target printing resolution to generate a calibration implementation scheme that is adaptive to the resolution.

2. The calibration method according to claim 1, wherein: Generating the composite calibration pattern specifically includes: A scale ruler with unidirectional equidistant distribution is constructed as a coarse adjustment calibration base pattern, wherein each scale unit contains a measurement reference of an integer multiple of pixels; Arrange a group of parallel lines comprising at least two levels of different line widths within the measurement interval of the base pattern as a fine adjustment calibration area; The base pattern and the fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration diagram that matches the target printing device and export the PRN format file.

3. The calibration method according to claim 2, wherein: The arithmetic superposition process includes: Establishing a linear compensation relationship between the coarse adjustment measurement value and the fine adjustment measurement value, wherein the compensation relationship is realized by the reference unit of the scale; Performing integer multiple correction on the first offset measurement value, and performing line width ratio conversion on the second offset measurement value; The coarse adjustment correction value and the fine adjustment correction value after unit conversion are arithmetically added to generate the final horizontal calibration parameter.

4. The calibration method according to claim 1, wherein: The dynamic adjustment of resolution includes: Construct a resolution-parameter mapping table, where each resolution corresponds to a specific combination of scale spacing and line width parameters; Adaptively rasterize the calibration pattern using an image processing algorithm to maintain the measurement ratio between the coarse adjustment area and the fine adjustment area; When a resolution change is detected, the vector parameters of the calibration pattern are automatically reconstructed without changing its measurement logic structure.

5. The calibration method according to claim 1, wherein: Also includes: A multi-nozzle group collaborative calibration mechanism is established, the mechanism including: Generate a unique calibration signature for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns of different ink sets; The reference system is used to achieve cross-calibration parameter synchronization among multiple groups of nozzles.

6. The calibration method according to claim 5, characterized in that: The cross-calibration parameter synchronization includes: Detecting feature points in overlapping areas of calibration patterns of adjacent nozzle groups; Calculating a geometric transformation matrix of the feature point group, wherein the transformation matrix includes rotation, translation, and scaling parameters; The independent calibration parameters of each nozzle group are unified into the global coordinate system through an iterative optimization algorithm.

7. The calibration method according to claim 1, wherein: Obtaining the offset measurement value includes: Use a machine vision system to capture the printed calibration pattern; Preprocessing the captured image includes: Apply non-uniform illumination compensation algorithm to eliminate medium reflection differences; Multi-scale feature fusion technology is used to enhance the edge features of the calibration mark; Key measurement fiducials in the calibration pattern are identified using a deep learning model.

8. The calibration method according to claim 7, characterized in that: Also includes calibration verification mechanisms: After completing parameter calibration, a verification pattern containing test lines is automatically generated; analyzing continuity characteristics of line junctions in the verification pattern; When continuous deviations exceeding a threshold are detected, a dynamic recalibration cycle is triggered.

9. An electronic device for leveling SinglePass printing, characterized in that: include: a pattern generation module for creating a composite calibration pattern with resolution adaptation; Print control module, used to accurately control the print head group to output calibration patterns; a visual analysis module, for acquiring and processing the printed calibration pattern image; A parameter calculation module, configured to execute the level calibration algorithm according to any one of claims 1 to 8; The calibration optimization module is used to establish a nozzle group characteristic model based on historical calibration data and optimize calibration parameters.

10. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, each step of the calibration method according to any one of claims 1 to 8 is implemented.

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