A Digital Information Control Method and System for Printing Color Management

Abstract

The present invention discloses a digital information control method and system for printing color management, which relates to the technical field of printing color management and includes: a production control module for monitoring production data during printing; a light simulation module integrated with multiple light modules for simulating multiple light environments for printed products; a color monitoring module including a position monitoring unit, a data acquisition unit, and a data analysis unit; the position monitoring unit selects monitoring points for color monitoring of printed products and monitors the color performance of each monitoring point under the corresponding light environment; the data acquisition unit captures the color data of each monitoring point under each light environment and records it. By setting multiple monitoring points on the printed product and establishing different light environments, the present invention accurately monitors the color performance of the printed product. The multiple monitoring points can cover different color areas on the printed product to ensure accurate monitoring of key color areas.

Description

Technical Field

[0001] The present invention relates to the technical field of printing color management, and particularly to a digital information control method and system for printing color management. Background Art

[0002] Color management refers to accurately controlling the colors produced by printing devices or display devices to ensure color consistency of images or documents. This technology involves aspects such as color space conversion and color correction to ensure accurate color output between devices.

[0003] With the development of technology, controlling the color information of images through digital signals is one of the research and development directions, which usually involves color calibration algorithms, data transmission and processing to ensure that color data remains consistent when transmitted between different devices.

[0004] After retrieval, Chinese Patent (Publication No.: CN114393922B) discloses a color management method for newspaper printing. This patent conducts test printing by making a test plate, determines the primary color reference density according to requirements, and selects the closest ISO standard curve as the reference to generate a plate-making compensation curve based on the average value of the sum of the tone value increments of the four primary colors under current conditions. Using the compensated and corrected printing plate, keep the reference density unchanged and print the test plate. Create a characteristic file for color separation according to the printed color chromaticity values obtained from the detected printed sheets and the tone reproduction characteristics of the selected ISO standard curve, and convert the picture from RGB to CMYK; make a characteristic file for soft proofing using color management software according to the chromaticity values obtained from detecting the IT8.7 / 3 test chart for simulating the printing effect during image retouching.

[0005] In the prior art, since the final presentation of printed products is affected by various production factors and the requirements for high-precision color reproduction and consistency are increasing, existing color management systems usually only collect color data at specific monitoring points and cannot comprehensively and accurately monitor the global color performance of printed products. Therefore, the present invention proposes a digital information control method and system for printing color management. Summary of the Invention

[0006] The purpose of the present invention is to provide a digital information control method and system for printing color management to solve the problems mentioned in the above background art.

[0007] The present invention can be achieved through the following technical solutions: A digital information control system for printing color management includes a color monitoring module, a light simulation module, and a production control module;

[0008] The production control module is used to monitor the production data during printing, including a paper control unit, an ink control unit, an environment control unit, and a processing unit;

[0009] The paper control unit is used to record the paper information used in the current printing, including the ink absorbency, light reflectivity, and material of the paper;

[0010] The ink control unit is used to record the ink information used in the current printing, including the type, concentration, and corresponding drying speed of the ink;

[0011] The environment control unit is used to record the printing speed, printing humidity, and printing temperature of the printing press. Among them, the change in the printing speed will affect the drying speed and color superposition of the ink;

[0012] Both the printing humidity and printing temperature will affect the drying speed and color performance of the ink;

[0013] The processing unit integrates the paper information, ink information, printing speed, printing humidity, and printing temperature to generate production data during the current printing;

[0014] The light simulation module is integrated with multiple light modules for simulating multiple light environments for the printed product;

[0015] The color monitoring module includes a position monitoring unit, a data acquisition unit, and a data analysis unit;

[0016] The position monitoring unit selects monitoring points for color monitoring of the printed product and monitors the color performance of each monitoring point under the corresponding light environment;

[0017] The data acquisition unit captures the color data of each monitoring point under each light environment;

[0018] The data analysis unit combines each color data with the production data at the same time and matches it with the associated model;

[0019] The production control module adjusts the controllable conditions during printing based on the matching results;

[0020] Among them, the controllable conditions are the operating parts that can actively control and affect the printing color during printing, including adjusting the concentration of the ink and the printing speed to maintain the management of the printing color.

[0021] A further technical improvement of the present invention lies in that the selection of the monitoring points includes the following steps:

[0022] S1. Image partitioning;

[0023] The printed product is partitioned by color, and the color information of each partition is represented by the RGB or CMYK color space;

[0024] S2. Color change weight assignment;

[0025] Calculate the color change amplitude of each partition by historical data or calculating the color gradient change of the image, and assign a preset weight to the corresponding partition based on the color change amplitude for the monitoring points to be preferentially selected;

[0026] The color change amplitude is obtained by the formula Obtained,

[0027] where C(x, y) is the color value of the image at the coordinate (x, y);

[0028] and are the color gradients of the image in the x and y directions respectively;

[0029] The areas with higher ΔC values are preferentially selected as monitoring points;

[0030] S3. Partition weighting;

[0031] Based on the sensitivity of the human eye to different colors, each partition is weighted, and the weighting increases with the increase of visual sensitivity. More monitoring points should be allocated to the areas where the human eye is more sensitive;

[0032] S4. Monitoring point optimization;

[0033] Combine the weights of the color change amplitude and visual sensitivity to generate multiple possible monitoring points with high priorities. Subsequently, perform normalized priority processing on each possible monitoring point to obtain monitoring points evenly distributed on the printed product;

[0034] where the priority of the possible monitoring point is obtained by the formula P(x, y) = W s (x, y) × ΔC(x, y). Through the preset number N of monitoring points, preferentially select N groups of areas with higher P(x, y) values as possible monitoring points;

[0035] The normalized priority processing is performed by the formula to obtain the normalized priority p′(x, y), ensuring that the areas with the priority of p′(x, y) are monitoring points and the monitoring points are evenly distributed on the printed product.

[0036] A further technical improvement of the present invention lies in that the position monitoring unit adjusts the distribution of the monitoring points based on historical data, that is, based on the production data of the same printing paper and ink in the past, and through a random forest or neural network learning model, to dynamically adjust and focus on monitoring the areas with larger color change amplitudes, that is, areas prone to color deviation;

[0037] After selecting N groups of partitions as possible monitoring points, in the order of the priority P(x, y), after ranking N, select m groups of partitions as backup monitoring points;

[0038] When the position monitoring unit is dynamically adjusted, if the dynamic adjustment range covers the partitions within m groups, the priority of the corresponding partitions will be increased and monitored as monitoring points.

[0039] A further technical improvement of the present invention lies in that: the control system is based on the paper used for the printed product, and through the formula corrects the color change amplitude formula in S2;

[0040] ΔC(x,y) in the corrected formula is the color change amplitude under the influence of paper factors;

[0041] A p is the ink absorption of the paper, and its value range is [0,1]. The stronger the ink absorption, the more significant the color change;

[0042] R p is the light reflectivity of the paper, and its value range is [0,1]. The higher the reflectivity, the greater the color change visually;

[0043] k1 and k2 are constants used to adjust the influence of paper factors.

[0044] A further technical improvement of the present invention lies in that: the control system is based on the paper and ink type used for the printed product, and through the formula:

[0045] corrects the color change amplitude formula in S2;

[0046] where C i is the concentration of the ink, and its value range is [0,1]. The higher the concentration, the greater the color difference;

[0047] D i is the drying speed of the ink, and its value range is [0,1]. The slower the drying speed, the stronger the superposition effect, and the more obvious the difference in color performance;

[0048] k3 and k4 are constants used to adjust the influence of ink factors.

[0049] A further technical improvement of the present invention lies in that: the correlation model is a model of the performance of color data in various light environments under the same production data during past production, so as to match and predict the color surface during printing;

[0050] The process of the data analysis unit matching with the correlation model includes the following steps:

[0051] Z1. The data analysis unit inputs the production data related to color data and the light environment information into the correlation model;

[0052] Z2. The data analysis unit calculates the similarity between the current production data and the historical production data;

[0053] Z3. Calculate the color difference between the current light environment and the corresponding historical light environment;

[0054] Z4. According to the color difference and the production data matching result, the production control module adjusts the controllable conditions to ensure the color consistency during printing.

[0055] The present invention also discloses a digital information control method for printing color management, and the method includes the following steps:

[0056] Step 1: The color monitoring module selects multiple monitoring points on the printed product;

[0057] Step 2: The light simulation module simulates a variety of light environments. The color monitoring module monitors the color performance of each monitoring point under different light environments to obtain color data. At the same time, the production control module monitors the production data during printing;

[0058] Step 3: The color monitoring module combines the color data with the production data at the same time and matches it with the associated model;

[0059] Step 4: The production control module adjusts the controllable conditions during printing based on the matching result to maintain the management of the printing color.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] By setting multiple monitoring points on the printed product and setting up different light environments, the present invention accurately monitors the color performance of the printed matter. Multiple monitoring points can cover different color areas on the printed matter to ensure accurate monitoring of key color areas, thereby improving color consistency and avoiding color deviation;

[0062] And by monitoring the color under multiple light environments, the printed matter can maintain color consistency under different lighting conditions, which helps to improve the visual effect of the printed matter in various usage environments;

[0063] At the same time, by collecting color data in real time and comparing it with the standard color, according to the real-time monitoring data under different light conditions, the system can quickly identify the color change trend and automatically adjust the controllable conditions to ensure stable color performance during the printing process. This reduces the need for manual intervention and improves production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0065] Figure 1This is a flowchart of the digital information control method in the present invention. Detailed implementation manners

[0066] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following combines the accompanying drawings and preferred embodiments to elaborate in detail on the specific implementation manners, structures, features, and their effects according to the present invention.

[0067] Embodiment 1

[0068] Please refer to Figure 1 As shown, the present invention provides a digital information control system for printing color management, including a color monitoring module, a light simulation module, and a production control module;

[0069] The production control module is used to monitor the production data during printing, including a paper control unit, an ink control unit, an environment control unit, and a processing unit;

[0070] The paper control unit is used to record the paper information used in the current printing, including the ink absorption, light reflectivity, and material of the paper;

[0071] The ink control unit is used to record the ink information used in the current printing, including the type, concentration, and corresponding drying speed of the ink;

[0072] The environment control unit is used to record the printing speed, printing humidity, and printing temperature of the printing press. Among them, the change in the printing speed will affect the drying speed and color superposition of the ink;

[0073] Both the printing humidity and the printing temperature will affect the drying speed and color performance of the ink;

[0074] The processing unit integrates the paper information, ink information, printing speed, printing humidity, and printing temperature to generate the production data during the current printing;

[0075] The light simulation module is integrated with multiple light modules for simulating various light environments for the printed products;

[0076] The color monitoring module includes a position monitoring unit, a data acquisition unit, and a data analysis unit;

[0077] The position monitoring unit selects monitoring points for color monitoring of the printed product and monitors the color performance of each monitoring point under the corresponding light environment;

[0078] The selection of the monitoring points includes the following steps:

[0079] S1. Image partitioning;

[0080] Partition the printed product by color, including highlight areas, mid-tone areas, shadow areas, saturated color areas, etc. The color information of each partition is represented in the RGB color space;

[0081] S2. Allocate color change weights;

[0082] Calculate the color change amplitude of each partition through historical data or by calculating the color gradient change of the image, and assign a preset weight to the corresponding partition based on the color change amplitude for preferentially selected monitoring points;

[0083] The color change amplitude is obtained through the formula obtained,

[0084] where C(x, y) is the color value of the image at coordinates (x, y);

[0085] and are the color gradients of the image in the x and y directions respectively;

[0086] The areas with higher ΔC values are preferentially selected as monitoring points;

[0087] S3. Partition weighting;

[0088] Based on the sensitivity of the human eye to different colors, weight each partition. The weighting increases as the visual sensitivity increases, and more monitoring points should be allocated to the areas that the human eye is more sensitive to;

[0089] It is obtained based on the formula W s = f(V);

[0090] where W s is the visual sensitivity weight of a certain area;

[0091] V is the visual sensitivity value of the color area, which is calculated based on the perceptual distance in the CIELab color space;

[0092] S4. Optimize monitoring points;

[0093] Combine the color change amplitude and the weight of visual sensitivity to generate multiple possible monitoring points with high priorities. Subsequently, perform normalization priority processing on each possible monitoring point to obtain monitoring points evenly distributed on the printed product;

[0094] where the priority of the possible monitoring point is calculated through the formula P(x, y) = W s (x, y) × ΔC(x, y). Through the preset number N of monitoring points, preferentially select N groups of areas with higher P(x, y) values as possible monitoring points;

[0095] The normalization priority processing is through the formula Obtain the normalized priority p′(x, y), ensure that the area with priority p′(x, y) is the monitoring point, and the monitoring points are evenly distributed on the printed product;

[0096] A data acquisition unit that captures the color data of each monitoring point in various light environments, and it records through the formula: C(x, y, L i ) = {R(x, y, L i ), G(x, y, L i ), B(x, y, L i )}, where L i is the corresponding light environment;

[0097] A data analysis unit that combines the color data with the production data at the same time and matches it with the correlation model;

[0098] The correlation model is a model of the performance of color data in various light environments under the same production data during past production, so as to match and predict the color surface during printing;

[0099] The process of the data analysis unit matching with the correlation model includes the following steps:

[0100] Z1. The data analysis unit inputs the production data and light environment information related to the color data into the correlation model;

[0101] Z2. The data analysis unit calculates the similarity between the current production data and the historical production data, and its formula is:

[0102] where S p is the similarity of the production data;

[0103] P c,i is the i-th production factor in the current production data;

[0104] P h,i is the i-th production factor in the historical production data;

[0105] n is the number of production factors;

[0106] Z3. Calculate the color difference between the current light environment and the corresponding historical light environment, and it is calculated through the CIEDE2000 color difference formula. The formula is:

[0107] ΔE = CIEDE2000(C c , C h ),

[0108] where ΔE is the color difference value, C c is the color value in the current light environment, C hIs the color value under the historical light environment;

[0109] Z4. Match according to the color difference and production data. When matching, establish the relationship between production data and color change through a linear regression model, and through the formula:

[0110] Calculate the mean square error between the predicted color data and the actual color data;

[0111] Among them, MSE is the mean square error, C pred,i Is the predicted color value of the i-th monitoring point, C true,i Is the actual color value of the i-th monitoring point, and N is the number of monitoring points;

[0112] Finally, according to the matching result, the production control module adjusts the controllable conditions to ensure the color consistency during printing;

[0113] Among them, the controllable conditions are the operating parts that can actively control and affect the printing color during printing, including adjusting the ink concentration and printing speed to maintain the management of the printing color.

[0114] Embodiment 2

[0115] A digital information control system for printing color management, including a color monitoring module, a light simulation module, and a production control module;

[0116] The production control module is used to monitor the production data during printing, including a paper control unit, an ink control unit, an environmental control unit, and a processing unit;

[0117] The paper control unit is used to record the paper information used in the current printing, including the ink absorbency, light reflectivity, and material of the paper;

[0118] The ink control unit is used to record the ink information used in the current printing, including the type, concentration, and corresponding drying speed of the ink;

[0119] The environmental control unit is used to record the printing speed, printing humidity, and printing temperature of the printing press. Among them, the change in printing speed will affect the drying speed and color superposition of the ink;

[0120] Both printing humidity and printing temperature will affect the drying speed and color performance of the ink;

[0121] The processing unit integrates the paper information, ink information, printing speed, printing humidity, and printing temperature to generate the production data during the current printing;

[0122] The light simulation module is integrated with multiple light modules for simulating multiple light environments for printing products;

[0123] The color monitoring module includes a position monitoring unit, a data acquisition unit, and a data analysis unit;

[0124] The position monitoring unit selects monitoring points for color monitoring of printed products and monitors the color performance of each monitoring point in the corresponding light environment;

[0125] The selection of the monitoring points includes the following steps:

[0126] S1. Image partitioning;

[0127] Partition the printed product by color, including highlight areas, mid-tone areas, shadow areas, saturated color areas, etc. The color information of each partition is represented in the CMYK color space;

[0128] S2. Color change weight assignment;

[0129] Calculate the color change amplitude of each partition by historical data or by calculating the color gradient change of the image, and assign a preset weight to the corresponding partition based on the color change amplitude for the monitoring points to be preferentially selected;

[0130] The color change amplitude is obtained through the formula obtained,

[0131] where C(x,y) is the color value of the image at coordinates (x, y);

[0132] and are the color gradients of the image in the x and y directions respectively;

[0133] The areas with higher ΔC values are preferentially selected as monitoring points;

[0134] In this embodiment, the influence factor of the paper used in the printed product is introduced into the color change amplitude, and the color change amplitude formula in S2 is corrected through the formula ;

[0135] ΔC(x,y) in the corrected formula is the color change amplitude under the influence of paper factors;

[0136] A p is the ink absorbency of the paper, and its value range is [0,1]. The stronger the ink absorbency, the more significant the color change;

[0137] R p is the light reflectivity of the paper, and its value range is [0,1]. The higher the reflectivity, the greater the visual color change;

[0138] k1 and k2 are constants used to adjust the influence of paper factors;

[0139] S3. Zoning weighting;

[0140] Based on the sensitivity of the human eye to different colors, each zone is weighted, and the weighting increases as the visual sensitivity increases. More monitoring points should be allocated to the areas where the human eye is more sensitive;

[0141] It is obtained based on the formula W s = f(V);

[0142] where W s is the visual sensitivity weight of a certain area;

[0143] V is the visual sensitivity value of the color area, which is calculated based on the perceptual distance in the CIELab color space;

[0144] S4. Optimization of monitoring points;

[0145] Combining the color change amplitude and the weight of visual sensitivity, multiple possible monitoring points with high priorities are generated. Subsequently, normalization priority processing is performed on each possible monitoring point to obtain monitoring points evenly distributed on the printed product;

[0146] where the priority of the possible monitoring point is calculated by the formula P(x,y) = W s (x,y) × ΔC(x,y). Through the preset number N of monitoring points, N groups of areas with higher P(x,y) values are preferentially selected as possible monitoring points;

[0147] The normalization priority processing is carried out through the formula to obtain the normalized priority p′(x,y), ensuring that the areas with the priority of p′(x,y) are monitoring points and the monitoring points are evenly distributed on the printed product;

[0148] In this embodiment, the position monitoring unit adjusts the distribution of the monitoring points based on historical data, that is, based on the production data of the same printing paper and ink in the past, and through a random forest or neural network learning model, to dynamically adjust the areas with a large color change amplitude, that is, areas prone to color deviation, for key monitoring;

[0149] After selecting N groups of zones as possible monitoring points, m groups of zones are selected as backup monitoring points in the order of the priority P(x,y) after ranking N;

[0150] When the position monitoring unit makes dynamic adjustments, if the dynamic adjustment range covers the zones within m groups, the priorities of the corresponding zones are increased and monitored as monitoring points;

[0151] The data acquisition unit captures the color data of each monitoring point in each light environment, and it is through the formula: C(x,y,L i) = {C(x, y, L i ), M(x, y, L i ), Y(x, y, L i ), K(x, y, L i )} for recording, where L i is the corresponding light environment;

[0152] The data analysis unit combines each color data with the production data at the same time and matches it with the correlation model;

[0153] The process of the data analysis unit matching with the correlation model includes the following steps:

[0154] Z1. The data analysis unit inputs the production data related to the color data and the light environment information into the correlation model;

[0155] Z2. The data analysis unit calculates the similarity between the current production data and the historical production data, and its formula is:

[0156] Among them, S p is the similarity of the production data;

[0157] P c,i is the i-th production factor in the current production data;

[0158] P h,i is the i-th production factor in the historical production data;

[0159] n is the number of production factors;

[0160] Z3. Calculate the color difference between the current light environment and the historical corresponding light environment, which is calculated by the Euclidean distance of the color vector;

[0161] Its adopted formula is

[0162] Among them, D c is the Euclidean distance of the color vector;

[0163] C c 、M c 、Y c 、K c are the cyan, magenta, yellow, and black values in the current light environment respectively;

[0164] C h 、M h 、Y h 、K h are the cyan, magenta, yellow, and black values in the historical light environment respectively;

[0165] Z4. Match according to the color difference and production data. When matching, establish the relationship between production data and color change through a linear regression model, and through the formula:

[0166] Calculate the mean square error between the predicted color data and the actual color data;

[0167] Finally, according to the matching result, the production control module adjusts the controllable conditions to ensure the color consistency during printing.

[0168] Embodiment 3

[0169] A digital information control system for printing color management, including a color monitoring module, a light simulation module, and a production control module;

[0170] The production control module is used to monitor the production data during printing, including a paper control unit, an ink control unit, an environment control unit, and a processing unit;

[0171] The paper control unit is used to record the paper information used in the current printing, including the ink absorbency, light reflectivity, and material of the paper;

[0172] The ink control unit is used to record the ink information used in the current printing, including the type, concentration, and corresponding drying speed of the ink;

[0173] The environment control unit is used to record the printing speed, printing humidity, and printing temperature of the printing press. Among them, the change in printing speed will affect the drying speed and color overlay of the ink;

[0174] Both printing humidity and printing temperature will affect the drying speed and color performance of the ink;

[0175] The processing unit integrates the paper information, ink information, printing speed, printing humidity, and printing temperature to generate the production data during the current printing;

[0176] The light simulation module is integrated with multiple light modules for simulating various light environments for printing products;

[0177] The color monitoring module includes a position monitoring unit, a data acquisition unit, and a data analysis unit;

[0178] The position monitoring unit selects monitoring points for color monitoring of the printing product and monitors the color performance of each monitoring point under the corresponding light environment;

[0179] The selection of the monitoring points includes the following steps:

[0180] S1. Image partitioning;

[0181] Partition the printed product by color, including highlight areas, mid-tone areas, shadow areas, saturated color areas, etc. The color information of each partition is represented in the RGB color space;

[0182] S2. Allocate color change weights;

[0183] Calculate the color change amplitude of each partition through historical data or by calculating the color gradient change of the image, and assign a preset weight to the corresponding partition based on the color change amplitude for the monitoring points to be preferentially selected;

[0184] The color change amplitude is obtained through the formula obtained,

[0185] where C(x, y) is the color value of the image at coordinates (x, y);

[0186] and are the color gradients of the image in the x and y directions respectively;

[0187] The areas with higher ΔC values are preferentially selected as monitoring points;

[0188] In this embodiment, the color change amplitude introduces the influencing factors of the types of paper and ink used in the printed product, and corrects the color change amplitude formula in S2 through the formula:

[0189] correct the color change amplitude formula in S2;

[0190] S3. Partition weighting;

[0191] Based on the sensitivity of the human eye to different colors, weight each partition. The weight increases with the increase of visual sensitivity, and more monitoring points should be allocated to the areas where the human eye is more sensitive;

[0192] It is obtained based on the formula W s = f(V);

[0193] where W s is the visual sensitivity weight of a certain area;

[0194] V is the visual sensitivity value of the color area, which is calculated based on the perceptual distance in the CIELab color space;

[0195] S4. Optimize monitoring points;

[0196] Combine the color change amplitude and the weight of visual sensitivity to generate multiple possible monitoring points with high priorities, and then perform normalized priority processing on each possible monitoring point to obtain monitoring points evenly distributed on the printed product;

[0197] Based on the types of paper and ink used in printed products, the priority adjustment formula for possible monitoring points is revised to:

[0198]

[0199] Among the paper factors, the greater the ink absorbency and reflectivity of the paper, the more significant the color change. Therefore, the weight should be increased;

[0200] Among the ink factors, the higher the ink concentration, the slower the drying speed, and the more significant the color change. Therefore, the priority should also be increased;

[0201] By presetting the number N of monitoring points, N groups of areas with higher P(x, y) values are preferentially selected as possible monitoring points;

[0202] The normalized priority processing is through the formula to obtain the normalized priority p′(x, y), ensuring that the area with the priority of p′(x, y) is the monitoring point and the monitoring points are evenly distributed on the printed product;

[0203] The data acquisition unit captures the color data of each monitoring point in each light environment, and it is through the formula:

[0204] C(x, y, L i ) = {R(x, y, L i ), G(x, y, L i ), B(x, y, L i )},

[0205] or C(x, y, L i ) = {C(x, y, L i ), M(x, y, L i ), Y(x, y, L i ), K(x, y, L i )} for recording, where L i is the corresponding light environment;

[0206] The data analysis unit combines each color data with the production data at the same time and matches it with the correlation model;

[0207] The process of the data analysis unit matching with the correlation model includes the following steps:

[0208] Z1. The data analysis unit inputs the production data related to the color data and the light environment information into the correlation model;

[0209] Z2. The data analysis unit calculates the similarity between the current production data and the historical production data, and its formula is:

[0210] where, Sp is the similarity of production data;

[0211] P c,i is the i-th production factor in the current production data;

[0212] P h,i is the i-th production factor in the historical production data;

[0213] n is the number of production factors;

[0214] Z3. Calculate the color difference between the current light environment and the corresponding historical light environment, which is calculated by the Euclidean distance of the color vector;

[0215] The formula used is

[0216] where D c is the Euclidean distance of the color vector;

[0217] R c 、G c 、B c are the red, green, and blue values in the current light environment;

[0218] R h 、G h 、B h are respectively the red, green, and blue values in the historical light environment;

[0219] Z4. Match according to the color difference and production data. When matching, establish the relationship between production data and color change through a linear regression model, and through the formula:

[0220] Calculate the mean square error between the predicted color data and the actual color data;

[0221] Finally, according to the matching result, the production control module adjusts the controllable conditions to ensure the color consistency during printing.

[0222] The above is only a preferred embodiment of the present invention and does not impose any form of limitation on the present invention. Although the present invention has been disclosed above with a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to obtain equivalent embodiments with equivalent changes. However, as long as it does not depart from the technical content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A digital information control system for printing color management, characterized in that, Including: A production control module that monitors production data during printing; A light simulation module integrated with multiple light modules to simulate various light environments for printed products; A color monitoring module, including a position monitoring unit, a data acquisition unit, and a data analysis unit; The position monitoring unit selects monitoring points for color monitoring of the printed product and monitors the color performance of each monitoring point under the corresponding light environment; The data acquisition unit captures and records the color data of each monitoring point under each light environment; The data analysis unit combines the color data with the production data at the same time and matches it with the correlation model; Based on the matching result, the production control module adjusts the controllable conditions during printing; The production control module includes a paper control unit, an ink control unit, an environment control unit, and a processing unit; The paper control unit records the paper information used in the current printing; The ink control unit records the ink information used in the current printing; The environment control unit records the printing speed, printing humidity, and printing temperature of the printing machine; The processing unit integrates the paper information, ink information, printing speed, printing humidity, and printing temperature to generate production data during the current printing; The selection of the monitoring points includes the following steps: S1. Divide the printed product into zones by color; S2. Assign color change weights; Calculate the color change amplitude of each zone through historical data or by calculating the color gradient change of the image, and assign a preset weight to the corresponding zone based on the color change amplitude; S3. Zone weighting; Based on the sensitivity of the human eye to different colors, weight each zone; S4. Monitoring point optimization; Combine the weights of the color change amplitude and visual sensitivity to generate multiple possible monitoring points with high priorities, and then perform normalized priority processing on each possible monitoring point to obtain evenly distributed monitoring points on the printed product.

2. The digital information control system for printing color management according to claim 1, characterized in that The priority of possible monitoring points is obtained through the formula P(x,y) = W s (x,y) × ΔC(x,y); Through the preset number N of monitoring points, select N groups of regions with higher P(x,y) values in the order of priority as possible monitoring points; Each possible monitoring point is processed by the normalization priority processing formula After calculation, the normalized priority p′(x, y) is obtained.

3. The digital information control system for printing color management according to claim 2, characterized in that, The position monitoring unit dynamically adjusts the distribution of the monitoring points based on historical data; After selecting N groups of zones as possible monitoring points, select m groups of zones as backup monitoring points in the order of priority P(x,y) after ranking N; During the dynamic adjustment of the position monitoring unit, if the dynamic adjustment range covers the zones within m groups, the priority of the corresponding zone is increased and monitored as a monitoring point.

4. A digital information control system for printing color management according to claim 1, characterized in that The color change amplitude in step S2 is calculated by the formula: Obtain; where C(x,y) is the color value of the image at coordinates (x, y); and are the color gradients of the image in the x and y directions, respectively.

5. A digital information control system for printing color management according to claim 4, characterized in that, The process of the data analysis unit matching with the correlation model includes the following steps: Z1. The data analysis unit inputs the production data related to the color data and the light environment information into the correlation model; Z2. The data analysis unit calculates the similarity between the current production data and the historical production data; Z3. Calculate the color difference between the current light environment and the corresponding historical light environment; Z4. According to the color difference and the production data matching result, the production control module adjusts the controllable conditions during printing.

6. A digital information control method for printing color management according to any one of claims 1-5, characterized in that, This method includes the following steps: Step 1: The color monitoring module selects multiple monitoring points on the printed product; Step 2: The light simulation module simulates various light environments. Under different light environments, the color monitoring module monitors the color performance of each monitoring point to obtain color data. At the same time, the production control module monitors the production data during printing; Step 3: The color monitoring module combines the color data with the production data at the same time and matches it with the correlation model; Step 4: Based on the matching results, the production control module adjusts the controllable conditions during printing.

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