Printing dot compensation method, device and equipment and storage medium

Abstract

The invention discloses a printing dot compensation method, device and equipment and a storage medium, and the printing dot compensation method comprises the following steps: obtaining a first material parameter and an equipment parameter of a to-be-printed sheet; obtaining a digital printed sheet of the recent printed sheet from a database according to the first material parameter and the equipment parameter; performing cell division on the digital printed sheet, and calculating dot deformation rates of all cells; taking the second material parameter, the equipment parameter, the reference network point parameter, the actual network point parameter and the network point deformation rate as independent variables, taking network point compensation values for recovering the network points in all the cells to standard network points as dependent variables, and performing training by utilizing a PDC model to generate a plurality of network point compensation values matched with all the cells; and compensating the standard lattice points of all the cells according to the lattice point compensation values. According to the printing dot compensation method, dot compensation is carried out with the cells as units, and the defect that in the prior art, dot compensation cannot be carried out on a certain local area is overcome.

Description

Technical Field

[0001] The present invention relates to the field of printing technology, and in particular to a printing dot compensation method, device, equipment and storage medium. Background Art

[0002] Due to various reasons, dot deformation is inevitable in the offset printing process, and dot deformation will affect color reproduction. To solve this problem, the conventional color management solution in the prior art is: set a GMI colorbar measurement and control strip at a location far from the bite of the printed sheet. After printing, use the device to scan the GMI colorbar measurement and control strip to monitor the gray balance changes in the strip area, and then control the ink output of different color groups, that is, change the ink output in the local area to compensate for the negative color effects caused by dot deformation. However, this technical solution has the following problems: the scanning device detection area is a strip area that runs through the horizontal direction of the paper. Similarly, the ink output will also affect the entire strip area. Therefore, it is impossible to perform fixed-point compensation for the dots in a certain local area.

[0003] Based on this, it is necessary to provide a printing dot compensation method, device, equipment and storage medium to solve the above technical problems. Summary of the invention

[0004] A first aspect of the present invention provides a printing dot compensation method.

[0005] A printing dot compensation method comprises the following steps:

[0006] Acquire first material parameters and equipment parameters of the sheet to be printed;

[0007] Acquire a digital printed sheet of a recent printing from a database according to the first material parameter and the equipment parameter, wherein the digital printed sheet has a second material parameter, a reference dot parameter, and an actual dot parameter;

[0008] Dividing the digital printed sheet into cells and calculating the dot deformation rates of all cells;

[0009] The second material parameter, the equipment parameter, the reference dot parameter, the actual dot parameter and the dot deformation rate are used as independent variables, and the dot compensation value of restoring the dots in all cells to the standard dot is used as the dependent variable, and the PDC model is used for training to generate a plurality of dot compensation values ​​matching all cells, wherein the PDC model is obtained by machine learning training using a plurality of recent printed sheet data, and the plurality of recent printed sheet data all include the dot deformation rate and the dot compensation value;

[0010] The standard dots of all cells are compensated according to the dot compensation value.

[0011] The above printing dot compensation method first divides the digital printed sheets of recent printed sheets into cells, then calculates the dot deformation rates of all cells, and uses the PDC model to obtain the dot compensation values ​​in all cells of the recent printed sheets, and finally performs dot compensation on all matching cells of the original file of the printed sheets to be printed according to the dot compensation values. Since the dot compensation is performed in units of cells, the defect of the prior art that the dots of a certain local area cannot be compensated is overcome.

[0012] In one embodiment, the first material parameter includes a first size parameter, the second material parameter includes a second size parameter, and the second size parameter is greater than or equal to the first size parameter.

[0013] In one embodiment, the first material parameter also includes material supplier, material name, and material weight.

[0014] In one embodiment, the device parameters include the device supplier, device model, color group quantity, printing color sequence and color group pressure data.

[0015] In one embodiment, the digital printed sheet and the printed sheet to be printed have the same device parameters.

[0016] In one embodiment, the calculation formula of the dot deformation rate is:

[0017]

[0018] Among them, ε is the dot deformation rate of a certain color in the cell, S1 is the sum of the actual dot areas of a certain color in the cell, and S2 is the sum of the reference dot areas of a certain color in the cell.

[0019] In one embodiment, the side length of the unit cell is 0.1 cm-5 cm.

[0020] A second aspect of the present invention provides a data processing device, the data processing device comprising:

[0021] A first acquisition module, used to acquire first material parameters and equipment parameters of a sheet to be printed;

[0022] A second acquisition module acquires a digital printed sheet of a recent printing from a database according to the first material parameter and the device parameter, wherein the digital printed sheet has a second material parameter, a reference dot parameter and an actual dot parameter;

[0023] A cell division module is used to divide the digital printed sheet into cells;

[0024] A calculation module calculates the dot deformation rate of all cells;

[0025] a training module, taking the second material parameter, the equipment parameter, the reference dot parameter, the actual dot parameter and the dot deformation rate as independent variables, and restoring the dot compensation value of all cells to the standard dot as dependent variable, and using the PDC model for training to generate a plurality of dot compensation values ​​matching all cells, wherein the PDC model is obtained by machine learning training using a plurality of recent printed sheet data, and the plurality of recent printed sheet data all include the dot deformation rate and the dot compensation value; and

[0026] The compensation module compensates the standard dots of all cells according to the dot compensation value.

[0027] The third aspect of the present invention provides an electronic device, which includes: a processor, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes steps for executing any one of the methods provided in the first aspect of the present invention.

[0028] A fourth aspect of the present invention provides a computer-readable storage medium for storing a computer program, wherein the computer program enables a computer to execute the steps of any one of the methods provided in the first aspect of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart of printing dot compensation according to an embodiment of the present invention is provided;

[0030] Figure 2 A schematic diagram of the division of cells of recent printed sheets according to an implementation method;

[0031] Figure 3 A block diagram of the functional modules of a data processing device according to one embodiment;

[0032] Figure 4 The present invention is a block diagram of an electronic device energy module composition according to one embodiment. DETAILED DESCRIPTION

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0034] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected" or "communicated" with another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "upper", "lower", "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and are not intended to be the only implementation method.

[0035] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0036] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0037] The following is a detailed description of the embodiments of the present application.

[0038] See also Figure 1 A first aspect of an embodiment of the present invention provides a printing dot compensation method, the printing dot compensation method comprising the following steps:

[0039] Step S10: Acquire first material parameters and equipment parameters of the sheet to be printed.

[0040] The first material parameters and printing equipment parameters of the sheets to be printed can be obtained by manual input or by obtaining construction order data through the ERP system.

[0041] The first material parameter includes but is not limited to the material supplier, material name and material weight of the sheet to be printed. Raw materials produced by different suppliers have different thicknesses and material affinity to ink due to differences in formula and processing technology, so the degree of dot deformation produced is also different. Raw materials with different product names have different affinity to ink, and the degree of dot deformation produced is also different. For example, compared with coated paper, writing paper has a stronger affinity to ink, and after printing, the degree of dot deformation caused by ink diffusion is also greater. Materials of different weights have different thicknesses, and during the printing process, the pressure exerted on the rubber blanket is also different, and the degree of dot deformation produced is also different.

[0042] Preferably, the first material parameter also includes a first size parameter, which is a length and width size parameter of the printed sheet to be printed. Providing the first size parameter helps determine a digital printed sheet with a suitable second size parameter.

[0043] Equipment parameters include but are not limited to: equipment supplier, equipment model, number of color groups, printing color sequence and color group pressure data. Any change in equipment parameters will lead to changes in dot deformation.

[0044] Step S20: acquiring a digital printed sheet of a recent order from a database according to the first material parameter and the equipment parameter, the digital printed sheet having a second material parameter, a reference dot parameter and an actual dot parameter.

[0045] Since the printed sheet to be printed has not entered the printing process, the actual printing dot parameters of the printed sheet to be printed cannot be obtained. In the present invention, since the material parameters and equipment parameters have high stability, when the first material parameters and equipment parameters are determined, the printed sheet to be printed selects a digital printed sheet of a recent printed sheet with the same material parameters and the same equipment parameters as a reference object for the printed sheet to be printed after printing, so that the acquired data is highly accurate, and thus the calculated dot deformation rate has practical value.

[0046] The digital printed sheet of the recent printed sheet has a second material parameter, a reference dot parameter and an actual dot parameter.

[0047] The second material parameters include the material supplier, material name and material weight of the recent printed sheets, and the second material parameters have the same material name and material weight as the first material parameters. The materials with the same material name and material weight have similar thickness and printing suitability. By limiting the material name and weight, the thickness of the sheets to be printed and the recent printed sheets can be controlled within the allowable error range, thereby keeping the pressure error between the sheets to be printed and the recent printed sheets during the actual printing process within a relatively low range, which is beneficial to improving the calculation accuracy of the dot deformation rate.

[0048] Furthermore, the second material parameter and the first material parameter have the same supplier. Usually, materials with the same name and gram weight produced by the same supplier have the same thickness and printability, which is conducive to further improving the accuracy of the data.

[0049] Preferably, the second material parameter includes a second size parameter, and the second size parameter is greater than or equal to the first size parameter. Since the dot compensation value in different cells of the sheet to be printed is associated with the dot deformation rate in the matching cell of the recent sheet, when the second size parameter is greater than or equal to the first size parameter, the larger size of the recent sheet is greater than or equal to the size of the sheet to be printed, and the cell on the recent sheet can completely cover the sheet to be printed. At this time, there will be no compensation blind area for dot compensation. On the contrary, when the second size parameter is less than the first size parameter, the larger size of the recent sheet is less than the size of the sheet to be printed, and the cell on the recent sheet will not be able to completely cover the sheet to be printed. At this time, there will be a compensation blind area for dot compensation.

[0050] Before printing, the original document needs to be converted from RGB mode to CMYK mode by professional software. In CMYK mode, each color will generate an independent standard dot file. Before publishing, the standard dots of each color need to be compensated according to the cells matched by the recent printed sheets. The dot parameters after dot compensation are set as the reference dot parameters. The reference dot parameters of each completed printing order are stored in the database and used as the digital sheet reference dot parameters of the recent printed sheets to be obtained for the subsequent printed sheets.

[0051] The actual dot parameters of digital printed sheets are obtained by scanning the printing dots of recent printed sheets.

[0052] Optionally, the actual dot parameters of the digital printed sheet are obtained by scanning a recent color printed sheet, and after scanning, the outlines of the multi-color overprinted dots are identified and processed by software.

[0053] Preferably, the actual dot parameters of the digital printed sheet are obtained by scanning a recent monochrome printed sheet. The monochrome printed sheet can be obtained by performing off-press printing on other color groups during the printing process. For example, in four-color printing, a K color printed sheet can be obtained by performing off-press printing on C, M, and Y; and an M color printed sheet can be obtained by performing off-press printing on C, Y, and K. By scanning a monochrome printed sheet, a clear dot outline can be obtained, thereby improving the accuracy of the actual dot parameters.

[0054] Optionally, the dots of the digital printed sheet and the printed sheet to be printed are amplitude modulated dots or frequency modulated dots. The number of dots per unit area of ​​the amplitude modulated dots remains unchanged, and the color and level changes of the original are expressed by changing the size of the dot area. The frequency modulated dots express the level and color changes of the image by changing the frequency of the dots. At present, the amplitude modulated dots are widely used in the offset printing field due to their stability and mature technical support.

[0055] Optionally, the dot shapes of the digital printed sheet and the printed sheet to be printed are square, circular, diamond or other shapes.

[0056] Step S30: dividing the digital printed sheet into cells and calculating the dot deformation rates of all cells.

[0057] See also Figure 2 , divide the digital printed sheet into cells, and divide the digital printed sheet into multiple cells. At this time, each cell contains a certain number of reference dots and actual dots of different colors. The dot deformation rate in the cell is calculated according to the following formula:

[0058]

[0059] Wherein, ε is the dot deformation rate of a certain color in a cell, S1 is the sum of the actual dot areas of a certain color in a cell, and S2 is the sum of the reference dot areas of a certain color in a cell. It should be understood that the "certain color" mentioned in this paragraph refers to the same color in a cell, such as black.

[0060] During the printing process, the deformation of dots is mainly manifested as the expansion or reduction of dots. When the dots in a certain cell of a recent printed sheet appear to be expanded, the dot deformation rate is a positive number. During the dot compensation process before publishing, the area of ​​the output dots should be reduced. When the area of ​​the dots in a certain cell of a recent printed sheet appears to be reduced, the dot deformation rate is a negative number. During the dot compensation process before publishing, the area of ​​the output dots should be enlarged. The compensated dots continue to be set as the reference dots and saved to the server.

[0061] Optionally, the side length of the cell is 0.1 cm-5 cm. By limiting the side length of the cell, the number of cells can be limited, thereby controlling the size of the file data.

[0062] Preferably, the side length of a cell is 0.5 cm. This setting can ensure a higher accuracy of dot compensation while controlling the file data size.

[0063] Step S40: using the PDC model for training to generate a plurality of dot compensation values ​​matching all cells.

[0064] Specifically, the second material parameters, equipment parameters, reference dot parameters, actual dot parameters and dot deformation rate are used as independent variables, and the dot compensation value of restoring the actual dots in all cells to the standard dots is used as the dependent variable. The PDC (Print dot compensation) model is used for training to generate multiple dot compensation values ​​matching all cells, wherein the PDC model is obtained through machine learning training using multiple recent printed sheet data, and the multiple recent printed sheet data all include dot deformation rate and dot compensation value.

[0065] Preferably, the number of recent printed sheets trained using the PDC model is greater than or equal to 5,000 sheets. By training with a large amount of recent printed sheet data, the training results of the model are made more scientific.

[0066] In this embodiment, the number of recent printed sheets trained using the PDC model exceeds 10,000 sheets.

[0067] Step S50: compensating the standard dots of all cells according to the dot compensation value.

[0068] In CMYK mode, an independent standard dot file will be generated for each color of the original file of the printed sheet to be printed. The cell file of the digital printed sheet will be matched with the standard dot file of the printed sheet to be printed, so that the standard dot file of each color is also divided into cells, and the standard dots of each color in each matching cell are compensated according to the dot compensation value generated by the model, so as to obtain the reference dot file. The reference dot file can be used for publishing and printing, and the reference dot file will be saved in the server and used as the reference dot parameter for future printed sheets.

[0069] The above printing dot compensation method first divides the digital printed sheets of recent printed sheets into cells, then calculates the dot deformation rates of all cells, and uses the PDC model to obtain the dot compensation values ​​in all cells of the recent printed sheets, and finally performs dot compensation on all matching cells of the original file of the printed sheets to be printed according to the dot compensation values. Since the dot compensation is performed in units of cells, the defect of the prior art that the dots of a certain local area cannot be compensated is overcome.

[0070] In order to better understand the content of the first aspect of the present invention, the process of the printing dot compensation method is introduced below using an embodiment:

[0071] The first step is to obtain the first material parameters and equipment parameters of the sheet to be printed. In this embodiment, the data is obtained by connecting to the ERP system. In the first material parameter obtained, the material supplier is Wanguo Paper Sun White Cardboard Co., Ltd., the material name is white cardboard, and the material weight is 250g / m 2, the first size parameter is 889mm*570mm. In the acquired equipment parameters, the equipment supplier is Manroland of Germany, the equipment model is R700, the color group is four colors, and the printing color sequence is C, M, Y, K.

[0072] In the second step, according to the first material parameters and the equipment parameters, a digital printed sheet of a recent print is obtained from the database, and the digital printed sheet includes the second material parameters, the reference dot parameters and the actual dot parameters. In this embodiment, the second material parameters obtained are that the material supplier is Wanguo Paper Sun White Cardboard Co., Ltd., the material name is white cardboard, and the material weight is 250g / m 2 , the first size parameter is 889mm*595mm. Among the acquired equipment parameters, the equipment supplier is Manroland of Germany, the equipment model is R700, the color group is four colors, and the printing color sequence is C, M, Y, K.

[0073] The third step is to divide the digital printed sheet into cells in the system. Then, the system sums the area of ​​the actual dots and the reference dots of each color in each cell, and obtains the actual dot area S1 of a certain color in the cell and the reference dot area S2 of a certain color in the cell. The dot deformation rate in the cell is calculated using the following formula:

[0074]

[0075] In this embodiment, the side length of the cell is 0.5 cm, and the deformation rate of the C color dots in the cell is calculated to be 6%, the deformation rate of the M color dots is 5%, the deformation rate of the Y color dots is 5.5%, and the deformation rate of the K color dots is 4%.

[0076] In the fourth step, the second material parameters, equipment parameters, reference dot parameters, actual dot parameters and dot deformation rate are used as independent variables, and the dot compensation value that restores all the dots in the cells to the standard dot is used as the dependent variable. The PDC model is used for training to generate multiple dot compensation values ​​that match all the cells.

[0077] In this embodiment, according to the PDC model training, the compensation value of the C color dot in the cell is -4.5%, the compensation value of the M color dot is -4.0%, the compensation value of the Y color dot is -4.2%, and the compensation value of the K color dot is -3.5%.

[0078] The fifth step, based on the above-mentioned dot compensation value, the system directly compensates the standard dots in the corresponding cells of the original file. After compensation, the C color dot area in the cell is 95.5% of the standard dot area, the M color dot area is 96.0% of the standard dot area, the Y color dot area is 95.8% of the standard dot area, and the K color dot area is 96.5% of the standard dot area. After compensation, it can be published and printed, and the compensated benchmark dot file will be saved in the database.

[0079] See also Figure 3 The second aspect of an embodiment of the present invention further provides a data processing device 100, including: a first acquisition module 110, a second acquisition module 120, a cell division module 130, a calculation module 140, a training module 150 and a compensation module 160.

[0080] The first acquisition module 110 is used to acquire first material parameters and equipment parameters of the sheet to be printed.

[0081] The second acquisition module 120 acquires a digital printed sheet of recent printing from the database according to the first material parameter and the equipment parameter, and the digital printed sheet has the second material parameter, the reference dot parameter and the actual dot parameter.

[0082] The cell division module 130 is used to divide the digital printed sheet into cells.

[0083] The calculation module 140 is used to calculate the dot deformation rate of all cells.

[0084] The training module 150 uses the second material parameter, the equipment parameter, the reference dot parameter, the actual dot parameter and the dot deformation rate as independent variables, and the dot compensation value of restoring the dots in all cells to the standard dot as the dependent variable, and uses the PDC model for training to generate a plurality of dot compensation values ​​matching all cells, wherein the PDC model is obtained by machine learning training using a plurality of recent printed sheet data, and the plurality of recent printed sheet data all include the dot deformation rate and the dot compensation value; and

[0085] The compensation module 160 compensates the standard dots of all cells according to the dot compensation value.

[0086] The third aspect of an embodiment of the present invention also provides an electronic device 200, comprising: a processor 210, a memory 220 and one or more programs, wherein the one or more programs are stored in the memory 220 and are configured to be executed by the processor 210, and the program includes steps for executing any one of the methods provided in the first aspect of the present invention.

[0087] The processor 210 may include at least one of the following types: a general-purpose central processing unit 210 (CPU), a digital signal processor 210 (DSP), a microprocessor 210, an application-specific integrated circuit (ASIC), a microcontroller unit (MCU), a field programmable gate array (FPGA), or an integrated circuit for implementing logic operations. For example, the processor 210 may be a single-core (single-CPU) processor 210 or a multi-core (multi-CPU) processor 210. The multiple processors 210 or units included in the processor 210 may be integrated in one chip or located on multiple different chips.

[0088] The memory 220 may be a non-power-off volatile memory 220, such as an EMMC (Embedded MultiMediaCard), a UFS (Universal Flash Storage) or a read-only memory 220 (ROM). Optionally, the memory 220 includes other types of static storage devices that can store static information and instructions, and may also be a power-off volatile memory 220 (volatile memory), such as a random access memory 220 (RAM) or other types of dynamic storage devices that can store information and instructions, or may be an electrically erasable programmable read-only memory 220 (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc read-only optical disk (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other computer-readable storage medium that can be used to carry or store program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this.

[0089] The computer program includes a non-transitory computer-readable storage medium storing the computer program, and the computer program can be operated to make the computer execute some or all steps of any method described in the method embodiment. The computer program product can be a software installation package, and the computer includes an electronic device 200.

[0090] The fourth aspect of the embodiments of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any method recorded in the above method embodiments, and the above computer includes an electronic device 200.

[0091] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0092] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0093] In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, and the division of the modules described above is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0094] The modules described above as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0095] In addition, each functional module in each embodiment of the present application can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software functional modules.

[0096] If the above integrated modules are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable memory 220. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software is stored in a memory 220, including several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above methods of various embodiments of the present application.

[0097] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory 220 .

[0098] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A printing dot compensation method, characterized in that: The steps include: Acquire first material parameters and equipment parameters of the sheet to be printed; Acquire a digital printed sheet of a recent printing from a database according to the first material parameter and the equipment parameter, wherein the digital printed sheet has a second material parameter, a reference dot parameter, and an actual dot parameter; Dividing the digital printed sheet into cells and calculating the dot deformation rates of all cells; The second material parameter, the equipment parameter, the reference dot parameter, the actual dot parameter and the dot deformation rate are used as independent variables, and the dot compensation value of restoring the dots in all cells to the standard dot is used as the dependent variable, and the PDC model is used for training to generate a plurality of dot compensation values ​​matching all cells, wherein the PDC model is obtained by machine learning training using a plurality of recent printed sheet data, and the plurality of recent printed sheet data all include the dot deformation rate and the dot compensation value; The standard dots of all cells are compensated according to the dot compensation value.

2. The printing dot compensation method according to claim 1, characterized in that: The first material parameter includes a first size parameter, the second material parameter includes a second size parameter, and the second size parameter is greater than or equal to the first size parameter.

3. The printing dot compensation method according to claim 1, characterized in that: The first material parameters also include material supplier, material name, and material weight.

4. The printing dot compensation method according to claim 1, characterized in that: The equipment parameters include the equipment supplier, equipment model, color group quantity, printing color sequence and color group pressure data.

5. The printing dot compensation method according to claim 4, characterized in that: The digital printed sheet and the printed sheet to be printed have the same device parameters.

6. The printing dot compensation method according to claim 5, characterized in that: The calculation formula of the dot deformation rate is: Among them, ε is the dot deformation rate of a certain color in the cell, S1 is the sum of the actual dot areas of a certain color in the cell, and S2 is the sum of the reference dot areas of a certain color in the cell.

7. The printing dot compensation method according to claim 6, characterized in that: The side length of the unit cell is 0.1 cm-5 cm.

8. A data processing device, characterized in that: include: A first acquisition module, used to acquire first material parameters and equipment parameters of a sheet to be printed; A second acquisition module acquires a digital printed sheet of a recent printing from a database according to the first material parameter and the device parameter, wherein the digital printed sheet has a second material parameter, a reference dot parameter and an actual dot parameter; A cell division module is used to divide the digital printed sheet into cells; A calculation module calculates the dot deformation rate of all cells; A training module, taking the second material parameter, the equipment parameter, the reference dot parameter, the actual dot parameter and the dot deformation rate as independent variables, and the dot compensation value of restoring the dots in all cells to the standard dot as a dependent variable, and using the PDC model for training to generate a plurality of dot compensation values ​​matching all cells, wherein the PDC model is obtained by machine learning training using a plurality of recent printed sheet data, and the plurality of recent printed sheet data all include the dot deformation rate and the dot compensation value; as well as The compensation module compensates the standard dots of all cells according to the dot compensation value.

9. An electronic device, characterized in that: include: A processor, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include steps for executing the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, wherein the computer program can enable a computer to execute the steps of the method according to any one of claims 1 to 7.

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