A method, apparatus and storage medium for horizontal spacing calibration between different ink group printheads for single pass printing

Abstract

The application discloses a horizontal spacing calibration method, device and storage medium for different ink groups of a SinglePass printer, and relates to the technical field of printing calibration. A composite calibration pattern containing a coarse adjustment region and a fine adjustment region is first generated, wherein the coarse adjustment region adopts a measuring scale with a reference scale, and the fine adjustment region contains a plurality of groups of thick and thin lines. 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 test medium through a printing system, offset measurement values of the coarse adjustment region and the fine adjustment region are obtained, and arithmetic superposition processing is performed to generate horizontal calibration parameters between the groups of nozzles. Meanwhile, the scale spacing of the measuring scale and the line width ratio of the line groups are dynamically adjusted according to the target printing resolution, so that the calibration accuracy is ensured. The method significantly improves the calibration efficiency by combining the coarse adjustment and fine adjustment steps, and supports printing requirements of any resolution.

Description

Technical Field

[0001] This invention relates to the field of printing calibration technology, and more specifically, to a method, apparatus, and storage medium for calibrating the horizontal spacing between printheads of different ink groups for SinglePass printing. Background Technology

[0002] SinglePass printers are widely used in industrial and commercial fields due to their efficient printing method. However, the horizontal spacing calibration between printheads of different ink groups has always been one of the core technical challenges. Traditional calibration methods often use a single calibration pattern, which is difficult to meet the needs of coarse and fine adjustments at the same time. This results 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. Existing technologies also lack the adaptability and flexibility of calibration patterns when facing different resolution printing needs, and cannot support accurate calibration at any resolution. Therefore, there is an urgent need for an efficient calibration method that can simultaneously obtain coarse and fine 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 head calibration method is inefficient, cannot meet the needs of both coarse and fine adjustments at the same time, and does not support arbitrary resolutions. Summary of the Invention

[0004] To overcome the problems of low efficiency, inability to simultaneously meet coarse and fine adjustment requirements, and lack of support for arbitrary resolution in existing SinglePass printer printhead calibration methods, this invention discloses a horizontal spacing calibration method, device, and storage medium for printheads of different ink groups in SinglePass printing, which can effectively solve the above-mentioned problems.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: A method for calibrating the horizontal spacing between printheads of different ink groups for SinglePass printing includes the following steps: Generate a composite calibration pattern that includes a coarse calibration area and a fine calibration area. The coarse calibration area uses a measuring scale with a reference scale, and the fine calibration area includes a set of multi-level thick and thin lines that can be superimposed and identified. The composite calibration pattern is output to the test medium through the printing system, wherein the calibration pattern is exported as a PRN format file and adapted to the target printing resolution; Obtain the first offset measurement value of the coarse adjustment calibration area and the second offset measurement value of the fine adjustment calibration area; The first offset measurement value and the second offset measurement value are arithmetically superimposed to generate the horizontal calibration parameters between nozzle groups; The scale spacing and line width ratio of the measuring scale 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: Construct a scale with unidirectional equidistant distribution as a coarse adjustment calibration base pattern, where each scale unit contains a measurement reference that is an integer multiple of the pixels. Within the measurement range of the substrate pattern, a group of parallel lines containing at least two different line widths is configured as a fine-tuning calibration area. The base pattern and fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration map that matches the target printing device and export a PRN format file.

[0007] Preferably, the arithmetic superposition process includes: A linear compensation relationship is established between coarse adjustment measurement values ​​and fine adjustment measurement values, and the compensation relationship is realized through the reference unit of the scale. The first offset measurement value is corrected by an integer multiple, and the second offset measurement value is converted by line width ratio. The coarse adjustment correction value, after unit conversion, is arithmetically added to the fine adjustment correction value to generate the final horizontal calibration parameter.

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

[0009] Preferably, it further includes: Establish a multi-nozzle group collaborative calibration mechanism, the mechanism including: Generate a unique calibration feature identifier for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns with different ink groups; The reference system is used to synchronize the cross-calibration parameters among multiple nozzles.

[0010] Preferably, the synchronization of the cross-calibration parameters includes: Detect feature points in the overlapping area of ​​calibration patterns of adjacent nozzle groups; Calculate the geometric transformation matrix of the feature point group, the transformation matrix including 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: The printed calibration pattern is captured using a machine vision system; The acquired images are preprocessed, and the preprocessing includes: Apply a non-uniform illumination compensation algorithm to eliminate differences in medium reflection; Multi-scale feature fusion technology is used to enhance the edge features of calibration marks; Key measurement reference points in the calibration pattern are identified using a deep learning model.

[0012] Preferably, a calibration verification mechanism is also included: After parameter calibration is completed, a verification pattern containing test lines is automatically generated; Analyze the continuity characteristics of the line junctions in the verification pattern; When a continuous deviation is detected to exceed the threshold, a dynamic recalibration cycle is triggered.

[0013] Preferably, a level calibration electronic device for SinglePass printing includes: The pattern generation module is used to create composite calibration patterns with resolution adaptation. The print control module is used to precisely control the printhead assembly to output calibration patterns; The visual analysis module is used to acquire and process the printed calibration pattern image; The parameter calculation module is used to execute the horizontal calibration algorithm described above. The calibration optimization module is used to build a nozzle group characteristic model and optimize calibration parameters based on historical calibration data.

[0014] Preferably, a computer-readable storage medium stores a computer program that, when executed by a processor, implements the various steps of the calibration method described above.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention effectively solves the problems of low efficiency, inability to simultaneously meet coarse and fine adjustment requirements, and lack of support for arbitrary resolution in existing SinglePass printer printhead calibration methods by providing an innovative calibration method. Existing calibration methods typically use a single calibration pattern, which cannot simultaneously obtain coarse and fine adjustment values, resulting in a complex and inefficient calibration process. This invention, however, generates a composite calibration pattern containing coarse and fine adjustment regions, allowing the printer to obtain two offset measurements in a single print. The measurement scale in the coarse adjustment region provides approximate calibration values, while the multi-level thick and thin line groups in the fine adjustment region are used for precise adjustment. After arithmetically superimposing these two measurements, the final calibration value is obtained. This method establishes precise calibration parameters, improving calibration efficiency. Furthermore, to adapt to different printing resolutions, it constructs a resolution-parameter mapping table and uses image processing algorithms to adaptively rasterize the calibration pattern, automatically adjusting the scale spacing of the measurement ruler and the line width ratio of the line groups. This ensures that the calibration pattern maintains measurement accuracy at any resolution, enhancing the method's flexibility and practicality. Simultaneously, the establishment of a multi-printhead group collaborative calibration mechanism enables synchronization of cross-calibration parameters between different ink group printheads, further improving calibration accuracy and reliability. Finally, a machine vision system is used to acquire the printed calibration pattern, and various image processing techniques and deep learning models are applied for analysis, improving the accuracy and stability of offset measurement. Attached Figure Description

[0016] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other embodiments can be derived from the provided drawings without creative effort.

[0017] Figure 1 This is a diagram illustrating the steps of the method of the present invention; Figure 2 This is a schematic diagram of the composite calibration pattern for the horizontal spacing of the printer nozzles according to the present invention. Detailed Implementation

[0018] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent. To better illustrate this embodiment, some parts in the accompanying drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions; It will be understood by those skilled in the art that certain well-known structures and their descriptions may be omitted in the accompanying drawings.

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

[0020] A method for calibrating the horizontal spacing between printheads of different ink groups for SinglePass printing includes the following steps: Generate a composite calibration pattern that includes a coarse calibration area and a fine calibration area. The coarse calibration area uses a measuring scale with a reference scale, and the fine calibration area includes a set of multi-level thick and thin lines that can be superimposed and identified. The composite calibration pattern is output to the test medium through the printing system, wherein the calibration pattern is exported as a PRN format file and adapted to the target printing resolution; Obtain the first offset measurement value of the coarse adjustment calibration area and the second offset measurement value of the fine adjustment calibration area; The first offset measurement value and the second offset measurement value are arithmetically superimposed to generate the horizontal calibration parameters between nozzle groups; The scale spacing and line width ratio of the measuring scale are dynamically adjusted according to the target printing resolution to generate a calibration implementation scheme that is adaptive to the resolution.

[0021] The generation of the composite calibration pattern specifically includes: Construct a scale with unidirectional equidistant distribution as a coarse adjustment calibration base pattern, where each scale unit contains a measurement reference that is an integer multiple of the pixels. Within the measurement range of the substrate pattern, a group of parallel lines containing at least two different line widths is configured as a fine-tuning calibration area. The base pattern and fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration map that matches the target printing device and export a PRN format file.

[0022] The arithmetic superposition process includes: A linear compensation relationship is established between coarse adjustment measurement values ​​and fine adjustment measurement values, and the compensation relationship is realized through the reference unit of the scale. The first offset measurement value is corrected by an integer multiple, and the second offset measurement value is converted by line width ratio. The coarse adjustment correction value, after unit conversion, is arithmetically added to the fine adjustment correction value to generate the final horizontal calibration parameter.

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

[0024] Also includes: Establish a multi-nozzle group collaborative calibration mechanism, the mechanism including: Generate a unique calibration feature identifier for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns with different ink groups; The reference system is used to synchronize the cross-calibration parameters among multiple nozzles.

[0025] Preferably, the synchronization of the cross-calibration parameters includes: Detect feature points in the overlapping area of ​​calibration patterns of adjacent nozzle groups; Calculate the geometric transformation matrix of the feature point group, the transformation matrix including 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: The printed calibration pattern is captured using a machine vision system; The acquired images are preprocessed, and the preprocessing includes: Apply a non-uniform illumination compensation algorithm to eliminate differences in medium reflection; Multi-scale feature fusion technology is used to enhance the edge features of calibration marks; Key measurement reference points in the calibration pattern are identified using a deep learning model.

[0027] It also includes a calibration and verification mechanism: After parameter calibration is completed, a verification pattern containing test lines is automatically generated; Analyze the continuity characteristics of the line junctions in the verification pattern; When a continuous deviation is detected to exceed the threshold, a dynamic recalibration cycle is triggered.

[0028] A level calibration electronics device for SinglePass printing includes: The pattern generation module is used to create composite calibration patterns with resolution adaptation. The print control module is used to precisely control the printhead assembly to output calibration patterns; The visual analysis module is used to acquire and process the printed calibration pattern image; The parameter calculation module is used to execute the horizontal calibration algorithm described above. The calibration optimization module is used to build a nozzle group characteristic model and optimize calibration parameters based on historical calibration data.

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

[0030] For specific implementation details, please refer to [link / reference]. Figure 1-2 Before implementing the SinglePass printer printhead calibration method, a stable and accurate printing test environment should be set up. A SinglePass printer with high-precision printing capabilities should be selected, ensuring that its printhead is in good condition and the ink supply system is working properly. Suitable test media should be prepared, such as high-quality printing paper or a dedicated calibration test plate. These media should have a flat surface, uniform texture, and good ink absorption to ensure clear printing of calibration patterns and accurate measurement.

[0031] Install and configure the printer driver software to ensure it is compatible with the printer hardware and can output PRN format files. Also, prepare the computer and install image processing software and deep learning frameworks to run machine vision systems and data analysis algorithms.

[0032] Using professional calibration chart drawing tools, a composite calibration pattern is designed. The pattern is divided into a coarse calibration area and a fine calibration area. The coarse calibration area uses a measuring scale with a reference scale. Each scale unit represents a certain pixel value, such as each small square representing 10 pixels. The fine calibration area contains multi-level thick and thin lines that can be superimposed and identified. The line width and spacing of these lines are designed to reflect the small horizontal spacing deviation between nozzles.

[0033] When designing calibration patterns, the characteristics of different printing devices are considered. The base pattern and fine-tuning line group are parameterized for resolution, and a resolution-parameter mapping table is constructed. 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, the corresponding scale spacing and line width parameters are set respectively. The calibration pattern is adaptively rasterized through image processing algorithms to ensure that the measurement ratio between the coarse-tuning area and the fine-tuning area remains consistent under different resolutions.

[0034] After completing the design of the calibration pattern, it is exported as a PRN format file. PRN files are 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 during printing.

[0035] Import the generated PRN file into the printer driver software. Before importing, check the print 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 begin the print job.

[0036] During the printing process, observe the printer's working status to ensure that the printhead moves smoothly and the ink is sprayed evenly. After printing, remove the test media from the printer and check the printed calibration pattern. The calibration pattern should be clearly visible with neat lines and no obvious blurring or distortion. If the printing effect is not good, you may need to adjust the printer parameters or check the printhead status and then reprint.

[0037] The printed calibration pattern is captured using a machine vision system, which includes a high-resolution camera, an image acquisition card, and corresponding image processing software. The test medium is placed within the camera's field of view, and the camera's position and focus are adjusted to ensure that the entire calibration pattern can be clearly captured.

[0038] The acquired images are preprocessed. First, a non-uniform illumination compensation algorithm is applied to eliminate the problem of inconsistent image brightness 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 of the scale ruler 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 (CNN) 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 begins. First, a linear compensation relationship between the coarse adjustment measurement value and the fine adjustment measurement value is established. Based on the reference unit of the scale, such as 10 pixels per small division, the coarse adjustment measurement value is converted into a value expressed in the reference unit. For example, if the scale spacing of the coarse adjustment area is 100 pixels and each small division represents 10 pixels, then the actual length corresponding to each scale unit can be calculated by the printer's resolution.

[0040] The first offset measurement value is corrected as 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 value, 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 coarse adjustment correction value, after unit conversion, is arithmetically added to the fine adjustment correction value to generate the final horizontal calibration parameter. The formula is: The horizontal calibration parameter = coarse adjustment correction value + fine adjustment correction value. This calibration parameter reflects the actual horizontal spacing deviation between different ink group printheads and will be used for subsequent printer printhead position adjustments.

[0042] Based on the target printing resolution, dynamically adjust the scale spacing of the measuring ruler and the line width ratio of the line group. The specific operation is as follows: When a resolution change is detected, the pre-built resolution-parameter mapping table is consulted to obtain the corresponding new combination of scale spacing and line width parameters. For example, when changing from 300dpi to 600dpi, the scale spacing may need to be halved, and the line width parameters also need to be adjusted accordingly.

[0043] Image processing algorithms are invoked to adaptively rasterize the calibration pattern. Rasterization is the process of converting vector graphics into bitmap images. Maintaining the measurement ratio between the coarse and fine adjustment areas is crucial in this process. By adjusting rasterization parameters, such as 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] The vector parameters of the calibration pattern are automatically reconstructed without changing its measurement logic structure. The vector parameters include the start and end points of the lines, 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 becomes 50 pixels under the new resolution, then the position and length of the scale lines need to be recalculated while keeping the measurement range and accuracy of the entire scale unchanged.

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

[0046] To achieve collaborative calibration among multiple printhead groups, a unique calibration feature identifier is generated for each ink group printhead. These identifiers can be specific patterns, color combinations, or location markers used to distinguish the calibration patterns of different printhead groups.

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

[0048] By utilizing a relative position reference system, the cross-calibration parameters of multiple nozzles can be synchronized. The specific method is as follows: The system detects feature points in the overlapping areas of calibration patterns of adjacent nozzle groups. These feature points can be specific marks or line intersections in the calibration patterns, and the image processing algorithm is used to accurately locate the positions of these feature points.

[0049] The geometric transformation matrix of the feature point group is calculated. The geometric transformation matrix includes rotation, translation and scaling parameters, which can describe the relative positional relationship between two nozzle groups. The transformation matrix that best reflects the actual positional deviation is calculated based on the coordinate difference of the feature points using the least squares method or other optimization algorithms.

[0050] The independent calibration parameters of each nozzle group are unified into the global coordinate system through iterative optimization algorithms, such as gradient descent and genetic algorithms. The purpose is to find a set of optimal calibration parameters in the global coordinate system so that the calibration patterns of all nozzle groups meet the expected relative positional relationship. After multiple iterative calculations, the calibration parameters are continuously adjusted until the predetermined convergence condition or accuracy requirement is reached.

[0051] After parameter calibration is completed, 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 nozzle calibration, such as horizontal lines, vertical lines, diagonal lines, and combinations of lines of different thicknesses.

[0052] The verification pattern is printed, and the image is acquired using a machine vision system. The acquired image is also preprocessed, including steps such as illumination compensation and feature enhancement. Then, the continuity features of the line joints in the verification pattern are analyzed. By detecting misalignment, breakpoints, and overlaps of the lines, the accuracy of the calibration parameters is evaluated.

[0053] When a continuous deviation is detected to exceed the threshold, a dynamic recalibration cycle is triggered. The threshold can be preset according to the actual printing requirements and equipment 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 to generate new calibration parameters and verify them again until the verification results meet the requirements. Only then is the calibration process considered complete. The above detailed implementation steps can effectively improve calibration efficiency and support printing needs at any resolution.

[0054] The same or similar labels correspond to the same or similar parts; The terms used to describe positional relationships in the accompanying drawings 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 intended to limit the implementation of the present invention. For those skilled in the art, other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all implementation methods here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the claims of the present invention.

Claims

1. A method for calibrating the horizontal spacing between printheads of different ink groups for SinglePass printing, characterized in that, Includes the following steps: Generate a composite calibration pattern that includes a coarse calibration area and a fine calibration area. The coarse calibration area uses a measuring scale with a reference scale, and the fine calibration area includes a set of multi-level thick and thin lines that can be superimposed and identified. The composite calibration pattern is output to the test medium through the printing system, wherein the calibration pattern is exported as a PRN format file and adapted to the target printing resolution; Obtain the first offset measurement value of the coarse adjustment calibration area and the second offset measurement value of the fine adjustment calibration area; The first offset measurement value and the second offset measurement value are arithmetically superimposed to generate the horizontal calibration parameters between nozzle groups; The scale spacing and line width ratio of the measuring scale are dynamically adjusted according to the target printing resolution to generate a calibration implementation scheme that is adaptive to the resolution. Dynamic resolution adjustment includes: constructing a resolution-parameter mapping table, where each resolution corresponds to a specific combination of scale spacing and line width parameters; The calibration pattern is adaptively rasterized using image processing algorithms to maintain the measurement ratio between the coarse and fine adjustment areas. When a resolution change is detected, the vector parameters of the calibration pattern are automatically reconstructed without altering its measurement logic structure.

2. The calibration method according to claim 1, characterized in that, The generation of the composite calibration pattern specifically includes: A scale with unidirectional equidistant distribution is constructed as a coarse adjustment calibration base pattern, and each scale unit contains a measurement reference that is an integer multiple of the pixels. Within the measurement range of the substrate pattern, a group of parallel lines containing at least two different line widths is configured as a fine-tuning calibration area. The base pattern and fine-tuning line group are subjected to resolution parameterization processing to generate a vector calibration map that matches the target printing device and export a PRN format file.

3. The calibration method according to claim 2, characterized in that, The arithmetic superposition process includes: A linear compensation relationship is established between coarse adjustment measurement values ​​and fine adjustment measurement values, and the compensation relationship is realized through the reference unit of the scale. The first offset measurement value is corrected by an integer multiple, and the second offset measurement value is converted by line width ratio. The coarse adjustment correction value, after unit conversion, is arithmetically added to the fine adjustment correction value to generate the final horizontal calibration parameter.

4. The calibration method according to claim 1, characterized in that, Also includes: Establish a multi-nozzle group collaborative calibration mechanism, the mechanism including: Generate a unique calibration feature identifier for each ink group printhead; A relative position reference system is established by alternately printing calibration patterns with different ink groups; The reference system is used to synchronize the cross-calibration parameters among multiple nozzles.

5. The calibration method according to claim 4, characterized in that, The synchronization of the cross-calibration parameters includes: Detect feature points in the overlapping area of ​​calibration patterns of adjacent nozzle groups; Calculate the geometric transformation matrix of the feature point group, the transformation matrix including 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.

6. The calibration method according to claim 1, characterized in that, Obtaining the first offset measurement value and the second offset measurement value includes: The printed calibration pattern is captured using a machine vision system; The acquired images are preprocessed, and the preprocessing includes: Apply a non-uniform illumination compensation algorithm to eliminate differences in medium reflection; Multi-scale feature fusion technology is used to enhance the edge features of calibration marks; Key measurement reference points in the calibration pattern are identified using a deep learning model.

7. The calibration method according to claim 6, characterized in that, It also includes a calibration and verification mechanism: After parameter calibration is completed, a verification pattern containing test lines is automatically generated; Analyze the continuity characteristics of the line junctions in the verification pattern; When a continuous deviation is detected to exceed the threshold, a dynamic recalibration cycle is triggered.

8. A horizontal calibration electronic device for SinglePass printing, characterized in that, include: The pattern generation module is used to create composite calibration patterns with resolution adaptation. The print control module is used to precisely control the printhead assembly to output calibration patterns; The visual analysis module is used to acquire and process the printed calibration pattern image; A parameter calculation module is used to perform the calibration method according to any one of claims 1-7; The calibration optimization module is used to build a nozzle group characteristic model and optimize calibration parameters based on historical calibration data.

9. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the various steps of the calibration method according to any one of claims 1-7.

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