A printing parameter optimization method and device

Abstract

The present disclosure provides a printing parameter optimization method and device, belonging to the field of parameter optimization technology, the method comprising: determining a first printing parameter based on a first characteristic of printing paper; updating the first printing parameter based on a second characteristic of printing paper to obtain a second printing parameter; the first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing. The printing parameter optimization method and device provided by the present disclosure can improve the quality of printed products.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of parameter optimization, and more specifically, to a printing parameter optimization method and device. Background Art

[0002] In the printing industry, the selection of printing parameters has a decisive influence on the quality of the final printed product. Traditional printing parameter setting methods often rely on the operator's experience and intuition, lacking scientific basis and accuracy, resulting in frequent quality problems during the printing process, such as color deviation, blurred patterns, uneven ink drying, etc. Summary of the invention

[0003] The purpose of the present disclosure is to provide a printing parameter optimization method and device to improve the quality of printed products.

[0004] A first aspect of the embodiments of the present disclosure provides a printing parameter optimization method, comprising:

[0005] determining a first printing parameter based on a first characteristic of the printing paper;

[0006] updating the first printing parameter based on a second characteristic of the printing paper to obtain a second printing parameter;

[0007] The first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing.

[0008] A second aspect of the embodiments of the present disclosure provides a printing parameter optimization device, comprising:

[0009] A printing parameter determination module, used for determining a first printing parameter based on a first characteristic of the printing paper;

[0010] A first printing parameter optimization module, used for updating the first printing parameter based on a second characteristic of the printing paper to obtain a second printing parameter;

[0011] The first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing.

[0012] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned printing parameter optimization method when executing the computer program.

[0013] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned printing parameter optimization method are implemented.

[0014] The beneficial effect of a printing parameter optimization method and device provided by the embodiments of the present disclosure is that the embodiments of the present disclosure can reasonably determine the initial printing parameters through the inherent characteristics of the paper before printing, such as thickness, roughness, and ink absorbency, to ensure the basic stability of the printing process. Subsequently, during the printing process, the changes in the characteristics of the paper after printing, such as color depth, flatness, and ink drying speed, are continuously observed, and the printing parameters are fine-tuned in a timely manner, effectively avoiding printing quality problems caused by changes in paper characteristics. Not only does it improve the overall quality of the printed product, but it also enhances the flexibility and adaptability of the printing process, ensuring efficient printing production. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A schematic diagram of a process flow of a printing parameter optimization method provided by an embodiment of the present disclosure;

[0017] Figure 2 A structural block diagram of a printing parameter optimization device provided by an embodiment of the present disclosure;

[0018] Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0019] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0020] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0021] Please refer to Figure 1 , Figure 1 A flow chart of a printing parameter optimization method provided in an embodiment of the present disclosure, the method comprising:

[0022] S101: Determine a first printing parameter based on a first characteristic of the printing paper, where the first characteristic is a characteristic of the printing paper before printing.

[0023] In this embodiment, the printing paper has a variety of inherent characteristics before printing, and these characteristics have a crucial impact on the printing process and the final printing quality. For example, the grammage of the paper determines its thickness and texture. Paper with a larger grammage is usually thicker and can withstand greater printing pressure without deformation, but it may affect the penetration speed of the ink; paper with strong ink absorption can absorb ink quickly, and the ink supply needs to be adjusted to avoid the color being too light, while paper with weak ink absorption may cause problems such as slow drying of the ink and easy smudges.

[0024] In this embodiment, the first characteristic of the printed paper may include: thickness, roughness, and ink absorption, etc. The thickness of the paper may be determined by measuring the thickness of different positions of the paper with a thickness meter and taking an average value; the probe of the roughness meter may be moved on the surface of the paper, and the roughness meter may give a roughness value by sensing the concavity and convexity of the paper surface; the ink absorption test may be used to drop a specific amount of standard test ink on the surface of the paper and record the time it takes for the ink to be completely absorbed to evaluate the ink absorption.

[0025] In this embodiment, the first printing parameter may include: ink volume, printing speed, printing pressure, etc.

[0026] The first printing parameters are preliminarily determined by accurately measuring and analyzing the first characteristics of the printed paper before printing, combined with past printing experience, a large amount of experimental data and standard specifications of the printing industry.

[0027] For example, if the paper has strong ink absorption and a rough surface, when determining the ink supply, the initial supply can be appropriately reduced, because the rough surface helps the ink adhere, and the strong ink absorption will cause the ink to be absorbed quickly. Too much ink will cause the color to be too dark and may affect the drying speed. For the printing pressure parameter, if the paper is thick and tough, a relatively high printing pressure can be set to ensure that the ink can be fully transferred to the paper to achieve clear and complete pattern printing. For printing speed, if the ink on the paper dries quickly, the printing speed can be appropriately increased to improve production efficiency; conversely, if the paper dries slowly, the printing speed needs to be reduced to give the ink enough time to dry and avoid smudging.

[0028] After the first printing parameters are determined, the printing paper can be printed based on the first printing parameters.

[0029] S102: updating the first printing parameter based on the second characteristic of the printing paper to obtain the second printing parameter; the second characteristic is the characteristic of the printing paper after printing.

[0030] In this embodiment, after the paper is printed, the properties of the paper will change. The ink penetrates into the paper, which can change the color depth, flatness and ink drying speed of the paper (i.e., the second property of the printed paper).

[0031] For example, under the influence of printing pressure, the flatness of the paper may change, resulting in slight depressions or protrusions, which will affect the ink transfer and color uniformity of the subsequent printed layers. Factors such as heat during the printing process and the volatilization of solvents in the ink can also cause the moisture content of the paper to change, thereby affecting the elasticity of the paper and the drying speed of the ink.

[0032] In this embodiment, the change of the second characteristic of the paper after printing has a direct impact on the subsequent printing quality. If it is not adjusted, it will cause problems such as color deviation, blurred pattern, and reduced surface quality of the printed product. Therefore, after printing a certain number of papers, the printed paper is fully tested to obtain its second characteristic data.

[0033] In this embodiment, the image of the printed paper can be captured by a color scanner, and the captured image can be analyzed to obtain the color depth of the printed paper; the flatness of the paper surface can be measured by laser scanning, and the printed paper can be compared with the standard flatness value to determine whether the flatness meets the requirements. The ink drying speed can be obtained by detecting the time it takes for the ink surface to change from liquid to solid.

[0034] Compare and analyze the second characteristic data with the expected paper characteristic standard after printing to find out the differences and deviations. For example, if the color depth of the paper after printing is detected to be lower than expected, and it is found that it is caused by insufficient ink supply (which can be determined by analyzing the amount of ink attached and distributed on the paper), the ink supply can be appropriately increased; if it is found that the flatness of the paper has deteriorated and affected the printing quality, and it is determined that it is caused by excessive printing pressure, the printing pressure can be reduced accordingly.

[0035] It can be concluded from the above that this embodiment can reasonably determine the initial printing parameters through the inherent characteristics of the paper before printing, such as thickness, roughness, and ink absorption, to ensure the basic stability of the printing process. Subsequently, during the printing process, the changes in the characteristics of the paper after printing, such as color depth, flatness, and ink drying speed, are continuously observed, and the printing parameters are fine-tuned in time, effectively avoiding printing quality problems caused by changes in paper characteristics. Not only does it improve the overall quality of the printed product, but it also enhances the flexibility and adaptability of the printing process, ensuring efficient printing production.

[0036] In one embodiment of the present disclosure, updating the first printing parameter based on the second characteristic of the printing paper to obtain the second printing parameter includes:

[0037] In response to the error between the second characteristic of the printing paper and its corresponding reference characteristic being greater than the first error value, the first printing parameter is updated based on the correlation between the second characteristic and the first printing parameter to obtain the second printing parameter.

[0038] In this embodiment, the second characteristics of the printed paper can be continuously monitored during the printing process, and these characteristics include but are not limited to color depth, flatness, and ink drying speed. At the same time, this embodiment compares the monitored second characteristics with their corresponding preset reference characteristics. The reference characteristics in this embodiment can be expected values ​​set based on printing industry standards, customer requirements, or past experience.

[0039] In this embodiment, the first error value is the deviation between the actual state of the paper after current printing and the expected state. If the error between the detected second characteristic and the reference characteristic exceeds the preset first error value, it indicates that the actual state of the paper after current printing deviates from the expected ideal state. The greater the deviation, the more serious the impact on the subsequent printing quality, thereby triggering the parameter update process.

[0040] The first printing parameter is updated based on the correlation between the second characteristic and the first printing parameter. During the printing process, the first printing parameter is associated with the second characteristic of the paper after printing. For example, the ink supply directly affects the color depth and saturation of the paper. Too much ink will make the color too dark or even cause ink accumulation and smudge phenomenon, while too little will cause the color to be light and the color expression is insufficient; the printing pressure is closely related to the flatness of the paper. Too much pressure may cause the paper to deform and cause indentations, while too little pressure may cause incomplete ink transfer and unclear patterns.

[0041] When the error between a second characteristic (such as color depth) of the printed paper and the reference characteristic exceeds a first error value, a first printing parameter (such as ink supply) with a strong correlation therewith can be determined.

[0042] In this embodiment, the adjustment amount of the first printing parameter can be calculated according to the size and direction of the first error value to obtain the updated second printing parameter.

[0043] For example, if the color depth is lower than the reference value and the error is large, and the ink supply is positively correlated with the color depth, the ink supply can be appropriately increased. At this time, considering that the change in ink supply may affect other characteristics such as the ink drying speed, the printing speed or drying equipment power and other related parameters can be coordinated and adjusted based on the correlation between them to ensure the stability of the entire printing process and the reliability of printing quality, realize dynamic optimization of printing parameters, and effectively ensure that the quality of printed products meets the requirements.

[0044] From the above, it can be concluded that when the second characteristic of the printed paper deviates from the expected reference characteristic and the error exceeds the preset first error value, the corresponding first printing parameter can be adjusted by analyzing the correlation between the second characteristic and the first printing parameter, thereby generating a second printing parameter that is more suitable for the current paper characteristics. This not only ensures the stability of the quality of the printed product, reduces printing defects caused by inconsistent paper characteristics, but also improves printing efficiency.

[0045] In one embodiment of the present disclosure, it also includes:

[0046] A correlation matrix is ​​constructed based on the second characteristic and the first printing parameter, and a correlation between the second characteristic and the first printing parameter is determined based on the correlation matrix.

[0047] In this embodiment, a large amount of printing data is collected, which may include first printing parameters (such as ink volume, printing speed, printing pressure, etc.) under different printing tasks and corresponding second characteristics of the printing paper (such as color depth, flatness, ink absorption change, etc.).

[0048] The first printing parameters and the second characteristics of the printed paper are sorted and analyzed to construct a correlation matrix. In the matrix, the printing parameters can be used as rows and the second characteristics of the paper can be used as columns. The values ​​in the matrix are calculated through a specific algorithm. The values ​​represent the strength of the correlation between the corresponding parameters and the characteristics, such as the correlation coefficient or the correlation strength index. Through the construction of the correlation matrix, the complex correlation network between each first printing parameter and the second characteristics of the paper can be intuitively presented.

[0049] For example, the matrix shows the influence of changes in ink volume on color depth, as well as the close relationship between printing pressure and paper flatness. Based on the correlation matrix, when optimizing printing parameters, it is possible to quickly and accurately determine which first printing parameters need to be adjusted when a second characteristic of the paper deviates, as well as the approximate direction and importance of the adjustment.

[0050] From the above, it can be concluded that this embodiment constructs a correlation matrix. When there is a quality problem in printing, that is, when the second characteristic of the paper deviates from expectations, the key related parameters can be quickly located and a reasonable adjustment strategy can be determined based on the correlation matrix, thereby reducing the cost of trial and error and time waste, and improving the overall efficiency of printing production. Secondly, this embodiment can adapt to changes in different types of paper, printing tasks, and printing environments. With the continuous accumulation of data and the continuous updating and optimization of the matrix, it can better cope with various complex and changing situations and ensure the stability and consistency of printing quality.

[0051] In one embodiment of the present disclosure, a correlation matrix is ​​constructed based on the second characteristic and the first printing parameter, and the correlation between the second characteristic and the first printing parameter is determined based on the correlation matrix, including:

[0052] Determining the correlation between the second characteristic and the first printing parameter based on the first formula;

[0053] The first formula is:

[0054]

[0055] in, Expressed as the first printing parameter The second characteristic The strength of the correlation, Expressed as The first printing parameters, Expressed as The second characteristic, Expressed as the first printing parameter The second characteristic The correlation index, It is expressed as the number of first printing parameters, and n is expressed as the number of second characteristics of the printed paper.

[0056] In this embodiment, the printing parameter set is (in Indicates a first printing parameter, such as ink supply, printing pressure, etc., is the number of printing parameters), the second characteristic set of printed paper is (in Indicates The second characteristics of the printing paper are as follows, for example, color depth, flatness, etc., where n is the number of the second characteristics of the printing paper).

[0057] Step 1: Calculate the first printing parameters And the second characteristic The joint probability distribution of

[0058] First, the first historical printing data is discretized (for example, the ink supply can be divided into different interval values, the printing speed can be divided into different speed gears, etc.) to form a discrete data sample set D, so as to classify and organize the complex printing data.

[0059] Statistics of the first printing parameters in the data sample set D Take a discrete value ( express No. discrete value cases) and the second characteristic Take a discrete value ( express No. The frequency of simultaneous occurrence of discrete values .

[0060] Calculate the first printing parameter based on the second formula And the second characteristic The joint probability distribution of , the second formula is:

[0061] in, Represented as the total number of samples in the data sample set D.

[0062] The process can determine the probability of occurrence of different combinations of first printing parameter values ​​and second characteristic values.

[0063] Step 2: Calculate the first printing parameters The marginal probability distribution of And the second characteristic The marginal probability distribution of

[0064] Calculate the first printing parameters The marginal probability distribution of :

[0065] Here is the Sum all the discrete values ​​of .

[0066] Calculate the second characteristic The marginal probability distribution of :

[0067] Here is the Sum all the discrete values ​​of .

[0068] The probability distribution reflects the probability of the values ​​of a single first printing parameter or a second characteristic, and helps to measure the information content of the variable itself in subsequent calculations.

[0069] Step 3: Calculate the first printing parameters The second characteristic Mutual information

[0070] Based on the first printing parameters The second characteristic The probability distribution of , the third formula is:

[0071]

[0072] In this embodiment, mutual information can measure the degree of mutual dependence between two variables. The larger the value, the greater the first printing parameter. The second characteristic However, since the mutual information value is affected by the amount of information in the variable itself, it cannot be directly used to compare the correlation between different pairs of variables.

[0073] Step 4: Calculate the first printing parameters The second characteristic Information entropy and

[0074] Calculate the first printing parameter based on the fourth formula Information entropy , the fourth formula is:

[0075]

[0076] The second characteristic is calculated based on the fifth formula Information entropy , the fourth formula is:

[0077]

[0078] Information entropy reflects the uncertainty or information content of a variable.

[0079] Step 5: Calculate the standardized correlation index As the element value in the correlation matrix

[0080] In order to eliminate the influence of the information difference of the variables themselves on the correlation measurement, the mutual information is standardized to obtain the final correlation index used to measure the correlation:

[0081]

[0082] In this embodiment, the correlation index The value range is 1 indicates a strong positive correlation, -1 indicates a strong negative correlation, and 0 indicates no correlation. Its value can directly reflect the first printing parameter The second characteristic The strength of the correlation between the variables is eliminated, which eliminates the impact of the difference in the amount of information of the variables themselves on the correlation measurement.

[0083] Through the above calculation steps, for each pair of first printing parameters The second characteristic The corresponding correlation index can be calculated to construct The correlation matrix (i.e. the first formula), where the matrix elements , which comprehensively and intuitively demonstrates the strength of the correlation between various printing parameters and the secondary characteristics of paper.

[0084] For example, if there are three first printing parameters and 4 paper second characteristics , through the above calculation process, the correlation matrix In the following form:

[0085]

[0086] Among them, the element -0.3 in the first row and second column represents the first printing parameter The second characteristic There is a certain degree of negative correlation, and the element 0.8 in the third row and third column indicates that the printing parameter The second characteristic of paper There is a strong positive correlation. By analogy, this matrix can intuitively show the strength of the correlation between each printing parameter and the second characteristic of the paper.

[0087] In this embodiment, the correlation between the first printing parameter and the second characteristic of the printing paper is calculated by integrating the information entropy and the improved correlation calculation method of mutual information, which is different from the traditional simple calculation method based on statistical correlation and the practice of relying solely on empirical judgment. This embodiment considers the amount of information contained in the data and the degree of mutual dependence between variables to more comprehensively and deeply explore potential correlations and construct a correlation matrix.

[0088] It can be concluded from the above that this embodiment determines the correlation between printing parameters and the second characteristics of paper by constructing a correlation matrix, which provides a scientific and accurate basis for the optimization of printing parameters. This embodiment can comprehensively sort out the complex relationship between many first printing parameters and various second characteristics of paper, avoiding the subjectivity and limitations of traditional empirical judgments, and greatly improving the accuracy of correlation judgments. In addition, this embodiment intuitively presents the strength of correlation in the form of a matrix, so that when printing practitioners face printing quality problems, they can quickly locate key related parameters based on the matrix, clarify the adjustment direction and focus, improve the efficiency of printing parameter adjustment, reduce trial and error costs and time loss, and help ensure the stability and consistency of printing quality.

[0089] In one embodiment of the present disclosure, updating the first printing parameter based on the correlation between the second characteristic and the first printing parameter to obtain the second printing parameter includes:

[0090] determining an adjustment step size of the first printing parameter based on a correlation between the second characteristic and the first printing parameter;

[0091] The first printing parameter is updated based on the adjustment step size to obtain the second printing parameter.

[0092] In this embodiment, based on the above-mentioned construction of the correlation matrix, the correlation degree and direction between the first printing parameter and the second characteristic of the printing paper are clarified.

[0093] For example, in the case of insufficient color depth or poor flatness, the adjustment step is determined based on the first printing parameter that is more closely related to the characteristic. If a first printing parameter is strongly positively correlated with the characteristic that has a deviation, and the deviation is large, a larger adjustment step is required; conversely, if the correlation is weak or the deviation is small, the adjustment step is correspondingly smaller. At the same time, the reasonable value range of the printing parameter itself must also be considered, such as the ink supply cannot exceed the maximum and minimum supply limits of the equipment, and the printing speed also has a speed range allowed by the equipment.

[0094] The first printing parameter is updated based on the determined adjustment step size to obtain the second printing parameter.

[0095] For example, if it is found that the color depth of the paper is strongly positively correlated with the ink supply, and the color depth is much lower than the expected standard, it is determined through calculation that the adjustment step of the ink supply is to increase by a certain proportion (such as 10%), then the original ink supply is increased according to this step, and other related parameters are also adjusted accordingly or remain unchanged based on their correlation with the second characteristic and the adjusted parameters, thereby forming a new set of printing parameters, namely the second printing parameters.

[0096] Finally, the updated second printing parameters are used to continue printing, and the second characteristic of the paper is tested again. If the ideal state is still not reached, the above process is repeated, and the printing parameters are continuously optimized until the printing quality meets the requirements.

[0097] From the above, it can be concluded that this embodiment can accurately grasp the amplitude and direction of parameter adjustment and avoid blind adjustment by determining the adjustment step size based on the correlation between the second characteristic and the first printing parameter. It can effectively reduce the printing quality fluctuation caused by improper parameter adjustment, such as color deviation, pattern defects and other problems. Based on the reasonable adjustment step size, the first printing parameter is updated to obtain the second printing parameter, so that the printing process can quickly adapt to the changes in paper characteristics, and improve the printing efficiency and the stability of the finished product quality.

[0098] In one embodiment of the present disclosure, determining the adjustment step of the first printing parameter based on the correlation between the second characteristic and the first printing parameter includes:

[0099] An adjustment step size of the first printing parameter is determined based on a deviation between the real-time value of the second characteristic and an ideal value corresponding to the second characteristic.

[0100] In this embodiment, the real-time monitoring of the second characteristic of the printed paper during the printing process obtains actual measurement data of characteristics such as color depth, flatness, ink drying speed, etc., which is the real-time value of the second characteristic. The ideal value of the second characteristic can be a target value determined based on the requirements of the printing task, printing industry standards, etc.

[0101] In this embodiment, after obtaining the real-time value and the ideal value, the deviation between the two is calculated. The calculation of the deviation includes the magnitude of the difference in value, and also includes the direction of the deviation (i.e., whether the real-time value is higher or lower than the ideal value). For example, if the ideal color depth is set to 70%, and the real-time monitored color depth is 50%, then the deviation value is -20%, indicating that the color depth is lower than the ideal value and the difference is 20 percentage points.

[0102] Different deviations reflect the degree of deviation of paper characteristics during the printing process, and thus the relevant first printing parameters need to be adjusted accordingly to correct the deviation. Therefore, the adjustment step of the first printing parameter needs to be determined based on the deviation between the real-time value and the ideal value. If the deviation is large, it means that a large change needs to be made to the relevant first printing parameter, and the adjustment step will be increased accordingly; conversely, when the deviation is small, the adjustment step will be small.

[0103] For example, assuming that the printing task requires the paper flatness to reach 95% as the ideal value, the real-time monitoring of the paper flatness during the printing process is only 80%, and the deviation value is -15%, indicating that the flatness is lower than the ideal value and the gap is obvious. It is known that the printing pressure is strongly positively correlated with the flatness, and the correlation coefficient is 0.75 from the correlation matrix. Due to the large deviation and strong correlation, it is preliminarily determined that the adjustment step of the printing pressure is to increase the original pressure value by 10%. At the same time, the printing speed has a certain negative correlation with the flatness, and the correlation coefficient is -0.3. Taking into account the impact on the ink drying speed, the printing speed adjustment step is set to reduce the original speed value by 5%, so as to synergistically improve the paper flatness and gradually optimize the printing parameters.

[0104] From the above, it can be concluded that this embodiment determines the adjustment step length by comparing the deviation between the real-time value of the second characteristic and the ideal value, which can accurately quantify the degree of deviation of the paper characteristics during the printing process, so that the printing parameters can be adjusted in a targeted manner. The step length can be flexibly set according to the deviation size. When the deviation is large, a large step length can be used for rapid deviation correction, and when the deviation is small, a small step length can be used for fine adjustment, thereby improving the adjustment efficiency and accuracy and ensuring stable and reliable printing quality.

[0105] In one embodiment of the present disclosure, it also includes:

[0106] printing the printing paper based on the second printing parameter;

[0107] In response to the printing quantity being greater than the first set value, the second printing parameter is updated based on the third characteristic of the printing paper to obtain a third printing parameter.

[0108] In this embodiment, after the second printing parameter is determined and updated based on the correlation between the second characteristic and the first printing parameter, subsequent printing operations are performed based on the second printing parameter. As the printing process continues, when the number of prints is greater than the first set value, some changes in the printing parameters may occur. If not discovered in time, the printing quality of the entire batch will be inconsistent.

[0109] Therefore, this embodiment can detect the paper characteristics (i.e., the third characteristics) after printing based on the second printing parameters. When the printing quantity is greater than the first set value, specific data such as ink absorption rate, flatness deviation value, color mixing degree, etc. are obtained, and compared with the ideal third characteristic index expected for the current batch printing, and the deviation amount is calculated. According to the above steps, the second printing parameters are adjusted and calculated to determine the correction amount of each parameter, thereby obtaining the third printing parameters.

[0110] From the above, we can conclude that during the printing process, when the number of prints accumulates to a certain extent, the paper characteristics will change. Updating the printing parameters based on the third characteristic can ensure the consistency of quality during large-scale printing and avoid problems such as color deviation and pattern defects caused by the gradual change of paper characteristics. By dynamically adjusting the parameters, we can make full use of the law of paper characteristic changes, improve ink utilization, and reduce waste. It can also reduce the scrap rate caused by unstable quality, reduce production costs, and improve the stability and reliability of printing production.

[0111] Corresponding to a printing parameter optimization method of the above embodiment, Figure 2 This is a structural block diagram of a printing parameter optimization device provided by an embodiment of the present disclosure. For ease of description, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The printing parameter optimization device 20 includes: a printing parameter determination module 21 and a first printing parameter optimization module 22.

[0112] The printing parameter determination module 21 is used to determine the first printing parameter based on the first characteristic of the printing paper;

[0113] A first printing parameter optimization module 22, configured to update the first printing parameter based on the second characteristic of the printing paper to obtain a second printing parameter;

[0114] The first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing.

[0115] In one embodiment of the present disclosure, the first printing parameter optimization module 22 is specifically used for:

[0116] In response to the error between the second characteristic of the printing paper and its corresponding reference characteristic being greater than the first error value, the first printing parameter is updated based on the correlation between the second characteristic and the first printing parameter to obtain the second printing parameter.

[0117] In one embodiment of the present disclosure, the first printing parameter optimization module 22 is specifically used for:

[0118] A correlation matrix is ​​constructed based on the second characteristic and the first printing parameter, and a correlation between the second characteristic and the first printing parameter is determined based on the correlation matrix.

[0119] In one embodiment of the present disclosure, the first printing parameter optimization module 22 is specifically used for:

[0120] Determining the correlation between the second characteristic and the first printing parameter based on the first formula;

[0121] The first formula is:

[0122]

[0123] in, Expressed as the first printing parameter The second characteristic The strength of the correlation, Expressed as The first printing parameters, Expressed as The second characteristic, Expressed as the first printing parameter The second characteristic The correlation index, It is expressed as the number of first printing parameters, and n is expressed as the number of second characteristics of the printed paper.

[0124] In one embodiment of the present disclosure, the first printing parameter optimization module 22 is specifically used for:

[0125] determining an adjustment step size of the first printing parameter based on a correlation between the second characteristic and the first printing parameter;

[0126] The first printing parameter is updated based on the adjustment step size to obtain the second printing parameter.

[0127] In one embodiment of the present disclosure, the first printing parameter optimization module 22 is specifically used for:

[0128] An adjustment step size of the first printing parameter is determined based on a deviation between the real-time value of the second characteristic and an ideal value corresponding to the second characteristic.

[0129] In one embodiment of the present disclosure, it further includes: a second printing parameter optimization module;

[0130] The second printing parameter optimization module is specifically used for:

[0131] printing the printing paper based on the second printing parameter;

[0132] In response to the printing quantity being greater than the first set value, the second printing parameter is updated based on the third characteristic of the printing paper to obtain a third printing parameter.

[0133] See also Figure 3 , Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 22 are shown.

[0134] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0135] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0136] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0137] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a printing parameter optimization method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0138] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0139] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0140] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0141] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0142] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0143] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0144] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0145] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A printing parameter optimization method, characterized in that: include: determining a first printing parameter based on a first characteristic of the printing paper; updating the first printing parameter based on the second characteristic of the printing paper to obtain a second printing parameter; The first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing; The updating of the first printing parameter based on the second characteristic of the printing paper to obtain the second printing parameter includes: In response to an error between a second characteristic of the printing paper and its corresponding reference characteristic being greater than a first error value, updating the first printing parameter based on a correlation between the second characteristic and the first printing parameter to obtain a second printing parameter; Also includes: constructing a correlation matrix based on the second characteristic and the first printing parameter, and determining the correlation between the second characteristic and the first printing parameter based on the correlation matrix; The step of constructing a correlation matrix based on the second characteristic and the first printing parameter, and determining the correlation between the second characteristic and the first printing parameter based on the correlation matrix, comprises: Determining the correlation between the second characteristic and the first printing parameter based on a first formula; The first formula is: in, Expressed as the first printing parameter The second characteristic The strength of the correlation, Expressed as The first printing parameters, Expressed as The second characteristic, Expressed as the first printing parameter The second characteristic The correlation index, It is expressed as the number of first printing parameters, and n is expressed as the number of second characteristics of the printed paper; Also includes: calculating a joint probability distribution of the first printing parameter and the second characteristic; calculating a marginal probability distribution of a first printing parameter and a marginal probability distribution of a second characteristic; calculating mutual information between the first printing parameter and the second characteristic based on probability distributions of the first printing parameter and the second characteristic; calculating the information entropy of the first printing parameter and the information entropy of the second characteristic; Calculate a normalized correlation index based on the mutual information and the information entropy of the first printing parameter and the information entropy of the second characteristic as an element value in a correlation matrix; The updating of the first printing parameter based on the correlation between the second characteristic and the first printing parameter to obtain the second printing parameter includes: determining an adjustment step size of the first printing parameter based on a correlation between the second characteristic and the first printing parameter; updating the first printing parameter based on the adjustment step length to obtain a second printing parameter; The step of determining the adjustment step of the first printing parameter based on the correlation between the second characteristic and the first printing parameter comprises: An adjustment step size of the first printing parameter is determined based on a deviation between the real-time value of the second characteristic and an ideal value corresponding to the second characteristic.

2. A printing parameter optimization method according to claim 1, characterized in that: Also includes: printing the printing paper based on the second printing parameter; In response to the printing quantity being greater than the first set value, the second printing parameter is updated based on the third characteristic of the printing paper to obtain a third printing parameter.

3. A printing parameter optimization device, characterized in that: include: A printing parameter determination module, used for determining a first printing parameter based on a first characteristic of the printing paper; A first printing parameter optimization module, used for updating the first printing parameter based on a second characteristic of the printing paper to obtain a second printing parameter; The first characteristic is a characteristic of the printing paper before printing, and the second characteristic is a characteristic of the printing paper after printing; The first printing parameter optimization module is specifically configured to: in response to the error between the second characteristic of the printing paper and its corresponding reference characteristic being greater than a first error value, update the first printing parameter based on the correlation between the second characteristic and the first printing parameter to obtain a second printing parameter; Also includes: constructing a correlation matrix based on the second characteristic and the first printing parameter, and determining the correlation between the second characteristic and the first printing parameter based on the correlation matrix; The step of constructing a correlation matrix based on the second characteristic and the first printing parameter, and determining the correlation between the second characteristic and the first printing parameter based on the correlation matrix, comprises: Determining the correlation between the second characteristic and the first printing parameter based on a first formula; The first formula is: in, Expressed as the first printing parameter The second characteristic The strength of the correlation, Expressed as The first printing parameters, Expressed as The second characteristic, Expressed as the first printing parameter The second characteristic The correlation index, It is expressed as the number of first printing parameters, and n is expressed as the number of second characteristics of the printed paper; Also includes: calculating a joint probability distribution of the first printing parameter and the second characteristic; calculating a marginal probability distribution of a first printing parameter and a marginal probability distribution of a second characteristic; calculating mutual information between the first printing parameter and the second characteristic based on probability distributions of the first printing parameter and the second characteristic; calculating the information entropy of the first printing parameter and the information entropy of the second characteristic; Calculate a normalized correlation index based on the mutual information and the information entropy of the first printing parameter and the information entropy of the second characteristic as an element value in a correlation matrix; The updating of the first printing parameter based on the correlation between the second characteristic and the first printing parameter to obtain the second printing parameter includes: determining an adjustment step size of the first printing parameter based on a correlation between the second characteristic and the first printing parameter; updating the first printing parameter based on the adjustment step length to obtain a second printing parameter; The step of determining the adjustment step of the first printing parameter based on the correlation between the second characteristic and the first printing parameter comprises: An adjustment step size of the first printing parameter is determined based on a deviation between the real-time value of the second characteristic and an ideal value corresponding to the second characteristic.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

Images