Digital information control method and system for printing color management

Abstract

The invention discloses a digital information control method and system for printing color management, and relates to the technical field of printing color management, and the method comprises a production control module which is used for monitoring production data during printing; the illumination simulation module is integrated with a plurality of illumination modules and simulates various light environments for the printed product; the color monitoring module comprises a position monitoring unit, a data acquisition unit and a data analysis unit; the position monitoring unit is used for carrying out color monitoring on the selected monitoring points of the printed product and monitoring the color performance of each monitoring point in the corresponding light environment; and the data acquisition unit captures color data of each monitoring point in each light environment and records the color data. A plurality of monitoring points are arranged on the printed product, different light environments are set, the color expression of the printed product is accurately monitored, the plurality of monitoring points can cover different color areas on the printed product, and accurate monitoring of key color areas is ensured.

Description

Technical Field

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

[0002] Color management refers to the accurate control of the colors produced by printing or display devices to ensure the color consistency of images or documents. This technology involves color space conversion, color correction, etc. 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 can remain consistent when transmitted between different devices.

[0004] After searching, a Chinese patent (publication number: CN114393922B) discloses a color management method for newspaper printing. The patent makes a test plate for test printing, determines the primary color reference density according to the requirements, and selects the closest ISO standard curve as the reference to generate a platemaking compensation curve according to the average value of the sum of the gradation increase values ​​of the four primary colors under the current conditions. The test plate is printed with the compensation-corrected printing plate, keeping the reference density unchanged. According to the color value of the printing color obtained by detecting the printed sheet and the gradation reproduction characteristics of the selected ISO standard curve, a color separation characteristic file is created to convert the image from RGB to CMYK; according to the color value obtained by detecting the IT8.7 / 3 test chart, a soft proofing characteristic file is made using color management software, which is used to simulate and preview the printing effect when retouching the image.

[0005] In the prior art, since the final presentation of printed products is affected by a variety of production factors and the requirements for high-precision color reproduction and consistency are becoming increasingly higher, the 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 object 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 technology.

[0007] The present invention can be implemented by the following technical solutions: a digital information control system for printing color management, including 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, and includes 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 for current printing, including the ink absorption, light reflectivity and material of the paper;

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

[0011] The environmental control unit is used to record the printing speed, printing humidity and printing temperature of the printing press, wherein changes in printing speed will affect the drying speed of the ink and color superposition;

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

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

[0014] The illumination simulation module integrates multiple illumination modules for simulating various light environments for printed products;

[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 printed products 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 various lighting conditions;

[0018] The data analysis unit combines the data of each color with the production data of the same time and matches it with the correlation 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 be actively controlled during printing to affect the printing color, including adjusting the ink concentration and printing speed to maintain the management of the printing color.

[0021] A further technical improvement of the present invention is that the selection of the monitoring point comprises the following steps:

[0022] S1, image partitioning;

[0023] The printed product is divided into zones by color, and the color information of each zone is represented by RGB or CMYK color space;

[0024] S2, color change weight distribution;

[0025] The color change amplitude of each partition is calculated by historical data or color gradient change of calculated images, and a preset weight is given to the corresponding partition based on the color change amplitude for priority selection of monitoring points;

[0026] The color change amplitude is calculated by the formula get,

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

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

[0029] Areas with higher ΔC values ​​were preferentially selected as monitoring sites;

[0030] S3, partition weighting;

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

[0032] S4, monitoring point optimization;

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

[0034] Among them, the priority of possible monitoring points is calculated by the formula P(x,y)=W s (x,y)×ΔC(x,y), by presetting the number of monitoring points N, the areas with higher P(x,y) values ​​in N groups are preferentially selected as possible monitoring points;

[0035] Normalized priority processing is done by formula The normalized priority p′(x, y) is obtained to ensure that the area with the priority p′(x, y) is the monitoring point and the monitoring points are evenly distributed on the printed product.

[0036] A further technical improvement of the present invention is that: the location monitoring unit adjusts the distribution of monitoring points based on historical data, i.e., 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, so as to dynamically adjust and focus on monitoring areas with large color changes, i.e., areas prone to color deviation;

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

[0038] When the position monitoring unit is dynamically adjusted, if the dynamic adjustment range covers the partitions in the m group, the priority of the corresponding partition will be increased and monitored as a monitoring point.

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

[0040] The 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, with a value range of [0,1]. The higher the reflectivity, the greater the visual color change;

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

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

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

[0046] Among them, C i is the concentration of ink, ranging from [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 is that: the association 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 matching the data analysis unit with the association model includes the following steps:

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

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

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

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

[0057] Step 2: The lighting simulation module simulates a variety of lighting environments. The color monitoring module monitors the color performance of each monitoring point under different lighting 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 of the same time and matches it with the correlation model;

[0059] Step 4: Based on the matching results, the production control module adjusts the controllable conditions during printing to maintain the management of printing color.

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

[0061] The present invention accurately monitors the color performance of printed products by setting up multiple monitoring points on the printed products and establishing different light environments. The multiple monitoring points can cover different color areas on the printed products, ensuring accurate monitoring of key color areas, thereby improving color consistency and avoiding color deviation.

[0062] And the color is monitored in multiple lighting environments, so that the printed product can maintain consistent color under different lighting conditions, which helps to improve the visual effect of the printed product in a variety of usage environments;

[0063] At the same time, by collecting color data in real time and comparing it with standard colors, the system can quickly identify color change trends based on real-time monitoring data under different light conditions, and automatically adjust 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] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0065] Figure 1It is a flow chart of the digital information control method in the present invention. DETAILED DESCRIPTION

[0066] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0067] Example 1

[0068] See also 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, and includes 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 for 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 for current printing, including the type, concentration, and corresponding drying speed of the ink;

[0072] The environmental control unit is used to record the printing speed, printing humidity and printing temperature of the printing press, wherein changes in printing speed will affect the drying speed of the ink and color superposition;

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

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

[0075] The illumination simulation module integrates multiple illumination modules for simulating various light environments for 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 printed products and monitors the color performance of each monitoring point under the corresponding light environment;

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

[0079] S1, image partitioning;

[0080] The printed product is divided into zones according to color, including highlight area, mid-tone area, shadow area, saturated color area, etc. The color information of each zone is represented by RGB color space;

[0081] S2, color change weight distribution;

[0082] The color change amplitude of each partition is calculated by historical data or color gradient change of calculated images, and a preset weight is given to the corresponding partition based on the color change amplitude for priority selection of monitoring points;

[0083] The color change amplitude is calculated by the formula get,

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

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

[0086] Areas with higher ΔC values ​​were preferentially selected as monitoring sites;

[0087] S3, partition weighting;

[0088] Based on the sensitivity of the human eye to different colors, each partition is weighted. The weighting increases with the increase of visual sensitivity. More monitoring points should be allocated to areas where the human eye is more sensitive.

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

[0090] Among them, W s is the visual sensitivity weight of a certain area;

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

[0092] S4, monitoring point optimization;

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

[0094] Among them, the priority of possible monitoring points is calculated by the formula P(x,y)=W s (x,y)×ΔC(x,y), by presetting the number of monitoring points N, the areas with higher P(x,y) values ​​in N groups are preferentially selected as possible monitoring points;

[0095] Normalized priority processing is done by formula Get 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] The data acquisition unit captures the color data of each monitoring point under various light environments through the formula: C(x,y,L i )={R(x,y,L i ),G(x,y,L i ),B(x,y,L i )} for recording, where L i is the corresponding light environment;

[0097] The data analysis unit combines the data of each color with the production data of the same time and matches it with the correlation model;

[0098] The association 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 matching the data analysis unit with the association 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. The formula is:

[0102] Among them, S p is the similarity of 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 historical corresponding light environment, which is calculated using the CIEDE2000 color difference formula, which is:

[0107] ΔE=CIEDE2000(C c ,C h ),

[0108] Among them, ΔE is the color difference value, C c is the color value in the current light environment, C his the color value under historical light environment;

[0109] Z4. Matching is performed based on color difference and production data. During matching, the relationship between production data and color change is established through a linear regression model, and the formula is:

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

[0111] Where 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, based on the matching results, the production control module adjusts the controllable conditions to ensure color consistency during printing;

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

[0114] Example 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, and includes a paper control unit, an ink control unit, an environment control unit and a processing unit;

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

[0118] The ink control unit is used to record the ink information used for 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, wherein changes in printing speed will affect the drying speed of the ink and color superposition;

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

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

[0122] The illumination simulation module integrates multiple illumination modules for simulating various light environments for printed 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 under the corresponding light environment;

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

[0126] S1, image partitioning;

[0127] The printed product is divided into zones according to color, including highlight area, midtone area, shadow area, saturated color area, etc. The color information of each zone is represented by CMYK color space;

[0128] S2, color change weight distribution;

[0129] The color change amplitude of each partition is calculated by historical data or color gradient change of calculated images, and a preset weight is given to the corresponding partition based on the color change amplitude for priority selection of monitoring points;

[0130] The color change amplitude is calculated by the formula get,

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

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

[0133] Areas with higher ΔC values ​​were preferentially selected as monitoring sites;

[0134] In this embodiment, the color variation amplitude is introduced into the paper used for printing products, and the formula Correct the color change amplitude formula in S2;

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

[0136] 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;

[0137] R p is the light reflectivity of the paper, with a value range of [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, partition weighting;

[0140] Based on the sensitivity of the human eye to different colors, each partition is weighted. The weighting increases with the increase of visual sensitivity. More monitoring points should be allocated to areas where the human eye is more sensitive.

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

[0142] Among them, W s is the visual sensitivity weight of a certain area;

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

[0144] S4, monitoring point optimization;

[0145] Combine the weight of the color change amplitude and visual sensitivity to generate multiple possible monitoring points with high priority, and then perform normalized priority processing on each possible monitoring point to obtain monitoring points evenly distributed on the printed product;

[0146] Among them, the priority of possible monitoring points is calculated by the formula P(x,y)=W s (x,y)×ΔC(x,y), by presetting the number of monitoring points N, the areas with higher P(x,y) values ​​in N groups are preferentially selected as possible monitoring points;

[0147] Normalized priority processing is done by formula Get 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;

[0148] In this embodiment, the location monitoring unit adjusts the distribution of monitoring points based on historical data, i.e., 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, so as to dynamically adjust and focus on monitoring areas with large color changes, i.e., areas prone to color deviation;

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

[0150] When the location monitoring unit is dynamically adjusted, if the dynamic adjustment range covers the partitions in the m group, the priority of the corresponding partition is increased and monitored as a monitoring point;

[0151] The data acquisition unit captures the color data of each monitoring point under various light environments 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 the data of each color with the production data of the same time and matches it with the correlation model;

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

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

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

[0156] Among them, S p is the similarity of 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] The formula used is

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

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

[0164] C h 、M h , Y h , K h They are the cyan, magenta, yellow, and black values ​​under historical light conditions;

[0165] Z4. Matching is performed based on color difference and production data. During matching, the relationship between production data and color change is established through a linear regression model, and the formula is:

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

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

[0168] Example 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, and includes 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 for current printing, including the ink absorption, light reflectivity and material of the paper;

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

[0173] The environmental control unit is used to record the printing speed, printing humidity and printing temperature of the printing press, wherein changes in printing speed will affect the drying speed of the ink and color superposition;

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

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

[0176] The illumination simulation module integrates multiple illumination modules for simulating various light environments for printed 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 printed products and monitors the color performance of each monitoring point under the corresponding light environment;

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

[0180] S1, image partitioning;

[0181] The printed product is divided into zones according to color, including highlight area, mid-tone area, shadow area, saturated color area, etc. The color information of each zone is represented by RGB color space;

[0182] S2, color change weight distribution;

[0183] The color change amplitude of each partition is calculated by historical data or color gradient change of calculated images, and a preset weight is given to the corresponding partition based on the color change amplitude for priority selection of monitoring points;

[0184] The color change amplitude is calculated by the formula get,

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

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

[0187] Areas with higher ΔC values ​​were preferentially selected as monitoring sites;

[0188] In this embodiment, the color variation range is influenced by the type of paper and ink used in the printed product, and is expressed by 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, each partition is weighted. The weighting increases with the increase of visual sensitivity. More monitoring points should be allocated to areas where the human eye is more sensitive.

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

[0193] Among them, W s is the visual sensitivity weight of a certain area;

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

[0195] S4, monitoring point optimization;

[0196] Combine the weight of the color change amplitude and visual sensitivity to generate multiple possible monitoring points with high priority, 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 type of paper and ink used in the printed product, the priority adjustment formula for possible monitoring points is modified to:

[0198]

[0199] Among the paper factors, the greater the paper's ink absorption and reflectivity, the more significant the color change, so 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, so it should also be given higher priority;

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

[0202] Normalized priority processing is done by formula Get 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;

[0203] The data acquisition unit captures the color data of each monitoring point under various light environments 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 the data of each color with the production data of the same time and matches it with the correlation model;

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

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

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

[0210] Among them, 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 historical corresponding light environment, which is calculated by the Euclidean distance of the color vector;

[0215] The formula used is

[0216] Among them, 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 They are the red, green, and blue values ​​under historical light conditions;

[0219] Z4. Matching is performed based on color difference and production data. During matching, the relationship between production data and color change is established through a linear regression model, and the formula is:

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

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

[0222] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution 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: include: Production control module, which monitors production data during printing; The lighting simulation module integrates multiple lighting modules to simulate various lighting 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 various light environments and records them; The data analysis unit combines the data of each color with the production data of the same time and matches it with the correlation model; The production control module adjusts the controllable conditions during printing based on the matching results.

2. A digital information control system for printing color management according to claim 1, characterized in that: 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 for current printing; The ink control unit records the ink information used in the current printing; The environmental control unit records the printing speed, printing humidity and printing temperature of the printing press; The processing unit integrates paper information, ink information, printing speed, printing humidity and printing temperature to generate production data during current printing.

3. A digital information control system for printing color management according to claim 2, characterized in that: The selection of the monitoring points comprises the following steps: S1. Divide printed products by color; S2, color change weight distribution; Calculate the color change amplitude of each partition by historical data or color gradient change of calculated images, and assign preset weights to corresponding partitions based on the color change amplitude; S3, partition weighting; Based on the sensitivity of the human eye to different colors, each partition is weighted; S4, monitoring point optimization; Combining the weights of the color change amplitude and visual sensitivity, multiple possible monitoring points with high priority are generated, and then each possible monitoring point is normalized and prioritized to obtain monitoring points evenly distributed on the printed product.

4. A digital information control system for printing color management according to claim 3, characterized in that: The priority of possible monitoring points is given by the formula P(x,y)=W s (x,y)×ΔC(x,y) is obtained; By presetting the number of monitoring points N, N groups of areas with higher P(x,y) values ​​are selected as possible monitoring points in order of priority; Each possible monitoring point is processed by the normalized priority formula After calculation, the normalized priority p′(x,y) is obtained.

5. A digital information control system for printing color management according to claim 4, characterized in that: The location monitoring unit dynamically adjusts the distribution of monitoring points based on historical data; After selecting N groups of partitions as possible monitoring points, m groups of partitions are selected as backup monitoring points after ranking N in the order of priority P(x,y); When the position monitoring unit is dynamically adjusted, if the dynamic adjustment range covers the partitions in the m group, the priority of the corresponding partition will be increased and monitored as a monitoring point.

6. A digital information control system for printing color management according to claim 3, characterized in that: The color change amplitude in the S2 step is given by the formula: get; Where C(x,y) is the color value of the image at coordinate (x, y); and are the color gradients of the image in the x and y directions respectively.

7. A digital information control system for printing color management according to claim 6, characterized in that: The process of matching the data analysis unit with the association model includes the following steps: Z1. The data analysis unit inputs the production data and light environment information related to the color data 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 historical corresponding light environment; Z4. According to the color difference and production data matching results, the production control module adjusts the controllable conditions during printing.

8. A digital information control method for printing color management according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: Step 1: The color monitoring module selects multiple monitoring points on the printed product; Step 2: The lighting simulation module simulates a variety of lighting environments. The color monitoring module monitors the color performance of each monitoring point under different lighting environments 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 of the same time and matches it with the correlation model; Step 4: The production control module adjusts the controllable conditions during printing based on the matching results.

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