Intelligent printing system based on AI color management

Abstract

The invention discloses an intelligent printing system based on AI color management, which relates to the technical field of printing and comprises an image verification module, a parameter calibration module, a chromatic aberration compensation module, a monitoring index module, a process scheme module, a quality evaluation module and a cost module. The system has the advantages that the image verification module compares an original recorded image with a printing image, accurately analyzes a data difference value and timely finds potential problems, and the chromatic aberration compensation module generates chromatic aberration printing schemes for different pigments and paper, so that the chromatic aberration problem is reduced to the greatest extent, the printing color is brighter and more accurate, and the visual effect is enhanced. And meanwhile, a quality compensation scheme unit is established, the response speed of the printing machine is increased, it is ensured that the printing result is closer to the original design intention, the characteristic extraction function in a traditional printing mode is achieved, the more characteristic and personalized printing effect is provided for a user, and the traditional printing technology can continue to develop while the special requirements of different clients are met.

Description

Technical Field

[0001] The present invention relates to the field of printing technology, and in particular to an intelligent printing system based on AI color management. Background Art

[0002] Printing is the technology of transferring the ink of text, pictures, photos, anti-counterfeiting manuscripts to the surface of paper, textiles, plastics, leather, PVC, PC and other materials through plate making, inking and pressurization, and batch copying the original contents. Printing is the process of transferring the approved printing plate to the substrate through printing machinery and special ink. The whole printing market is developing rapidly, and more and more printers are participating in this industry. Printing plants and business personnel of all sizes are springing up like mushrooms after rain. The whole printing industry is composed of printing plants and business personnel, both of which are independent groups.

[0003] The common intelligent printing systems on the market cannot accurately compare the original recorded image with the printed image when in use, which makes it difficult to find data differences and potential problems. When problems occur in the printing machine, they cannot be solved in time, resulting in reduced printing quality. It is also inconvenient to combine traditional printing processes with intelligent printing processes. For this reason, we propose an intelligent printing system based on AI color management. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent printing system based on AI color management.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: an intelligent printing system based on AI color management, comprising an image input module and a pigment data acquisition module, wherein the image input module is used to input a printing image and analyze image parameters of the printing image, and the pigment data acquisition module can obtain predicted effect information and actual effect information of different pigments printed on different papers, and further comprises an image verification module, a parameter calibration module, a color difference compensation module, a monitoring index module and a process solution module;

[0006] The image verification module can obtain image parameter information, draw the original image information according to the image data, and then compare the original image information with the printed image information to analyze the data difference between the original image and the printed image;

[0007] A parameter calibration module, which obtains data difference information between the original recorded image and the printed image, calibrates the original recorded image information according to the data difference information, and generates calibrated image information;

[0008] The color difference compensation module analyzes the color difference compensation data of different pigments printed on different papers, and then generates a color difference printing plan;

[0009] The monitoring indicator module starts the printing press, enables the printing press to print according to the color difference printing scheme, and monitors the printing status in real time. When color deviation and problems affecting printing quality occur, timely adjustments can be made. At the same time, a quality compensation scheme unit is established to improve the response speed of the printing press.

[0010] The process plan module can record the entire printing process, establish traditional printing mode and intelligent printing mode, and establish a traditional process database and an intelligent process database in the traditional printing mode and the intelligent printing mode respectively. At the same time, a feature extraction function is set in the traditional printing module. The traditional printing mode can extract features from the traditional process database based on the feature extraction function.

[0011] As a further solution of the present invention: it also includes a quality assessment module and a cost module;

[0012] The quality assessment module obtains the finished product image information after printing, and determines the similarity between the finished product image information and the printed image information, and analyzes the visual coordination in the finished product image information, and performs quality assessment on the finished product image information based on the similarity and visual coordination, and then transmits the quality assessment information to the process plan module;

[0013] The cost module obtains the entire process of printing the finished product image information, extracts the current compensation plan from it, and then establishes a calculation condition unit and a compensation cost unit. When the current compensation plan meets the conditions of the calculation condition unit, the compensation cost unit will be started to calculate the cost of the compensation plan.

[0014] As a further solution of the present invention, when the image verification module compares the original image information with the printed image information, it adjusts the original image information and the printed image information to the same size, and then overlaps the original image information and the printed image information. At this time, a reference point is randomly selected on the overlapping original image information and the printed image information, and then the original image information and the printed image information are divided into color areas based on the reference point, so as to obtain different original image color spaces and different printed image color spaces, and then the color information is extracted from the same point in the original image color space and the printed image color space at the same position. Let the color information extracted in the original image color space be Y C , let the color information extracted from the printed image color space be S C , let the number of extracted color information be N, let the color difference be S 差 ;

[0015]

[0016] According to the above formula, the color difference can be calculated and the data difference information between the original image and the printed image can be analyzed.

[0017] As a further solution of the present invention: the parameter calibration module is capable of receiving information processed by the image verification module, thereby obtaining data difference information between the original recorded image and the printed image, and extracting the printed image information at the same time, and then adjusting the color data on the printed image information according to the data difference information, and generating a calibration scheme according to the adjustment information of the color data, and then adjusting the printed image information according to the calibration scheme, thereby generating calibrated image information.

[0018] As a further solution of the present invention: the color difference compensation module can receive information processed by the parameter calibration module. After analyzing the color difference compensation data of different pigments printed on different papers, it will analyze the pigment information used in the calibration image information and the printing paper information, and then reversely infer the actual pigment information during printing through the color difference compensation data and the pigment information used in the calibration image information, thereby analyzing the corresponding pigment ratio data, and then generating a color difference printing solution based on the pigment ratio data and the calibration image information.

[0019] As a further solution of the present invention: the monitoring indicator module can extract the color difference printing scheme information, and start the printing machine, so that the printing machine performs printing processing according to the color difference printing scheme information. During printing, the printed image will be monitored. When the printed image has color difference and problems affecting the printing quality, the cause of the problem will be monitored in time, and then the quality compensation scheme unit will be directly accessed. Let the number of reasons affecting the printing quality during the printing process be Y 数 , let the compensation return threshold be B 返 ;

[0020] When Y 数 返 When the printing information is determined to be unnecessary to be returned to the color difference compensation module for color difference compensation calculation;

[0021] When Y 数 ≥B 返 When the printing information is judged to be returned to the color difference compensation module for color difference compensation calculation, the color difference printing plan is regenerated, and the cause information affecting the printing quality during the printing process is recorded. When the same cause information affecting the printing quality is encountered for the second time but does not affect the printing quality, the same cause information affecting the printing quality will be ignored;

[0022] The quality compensation solution unit will search for problems that affect printing quality in advance, and simultaneously obtain methods to solve the problems, and record the methods to solve the problems that affect printing quality in the quality compensation solution unit, so that the solutions can be retrieved more quickly when the quality compensation solution unit is accessed.

[0023] ​As a further solution of the present invention: the quality assessment module can receive the information processed by the monitoring index module to obtain the finished product image information, and then use the color feature comparison and structural similarity index method to analyze the similarity between the finished product image information and the printed image information, and then comprehensively judge the coordination of the finished product image information in terms of color, composition, clarity, details and overall effect.

[0024] As a further solution of the present invention: the process plan module can obtain the information processed by the monitoring indicator module, and synchronously obtain the quality assessment information of the finished product image information, record the entire printing process, and generate a printing process plan, record the corresponding finished product image information quality assessment inside the corresponding printing process plan, and then set a storage threshold. When the quality assessment information exceeds the storage threshold, the corresponding printing process plan will be recorded. When the quality assessment information is lower than the storage threshold, the corresponding printing process plan will be deleted. At the same time, the feature extraction function supports feature extraction formats of text, pictures and videos;

[0025] When performing text extraction, users can directly edit the information in the feature extraction function, and then analyze the feature information of traditional processes based on the information in the feature extraction function;

[0026] When extracting images, the feature extraction function will directly divide the image information into layers. At this time, the user can select the required feature layer independently. Then the feature extraction function will analyze the feature information of traditional crafts according to the feature layer and record the corresponding feature layer.

[0027] When extracting videos, users can crop the videos to obtain featured segments, analyze the featured information of the transmission process based on the featured segments, and record the corresponding featured segments.

[0028] As a further solution of the present invention: the calculation condition unit of the cost module records the previous compensation schemes, and then it is possible to analyze whether there is the same information in the previous compensation scheme as the current compensation scheme;

[0029] When the same information as the current compensation plan exists in the previous compensation plan, the conditions in the calculation condition unit are not met, and the compensation cost of the previous compensation plan will be directly transferred to the process plan module;

[0030] When there is information in the previous compensation plan that is different from the current compensation plan, the conditions in the calculation condition unit are met. At this time, the compensation cost unit will be started to calculate the cost of the compensation plan, and then the calculated cost will be transmitted to the process plan module.

[0031] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. The present invention uses an image verification module to compare the original recorded image with the printed image, accurately analyze the data difference, and promptly discover potential problems. The color difference compensation module generates color difference printing solutions for different pigments and papers to minimize color difference problems, making the printed colors more vivid and accurate, thereby enhancing the visual effect. At the same time, a quality compensation solution unit is established to improve the response speed of the printer, ensure that the printing results are closer to the original design intent, reduce the troubleshooting time, and ensure the continuity and efficiency of the printing process. The feature extraction function in the traditional printing mode can tap into the uniqueness of the traditional process and provide users with more distinctive and personalized printing effects, meeting the special needs of different customers while enabling the traditional printing process to continue to develop;

[0033] 2. The present invention ensures the accuracy and objectivity of the comparison by adjusting the original image information and the printed image information to the same size and placing them in an overlapping manner. It can comprehensively analyze the color differences between the images, randomly select reference points for color area division, increase the randomness and comprehensiveness of the analysis, and make the calculation of color difference more accurate. By reversely inferring the actual pigment information during printing and analyzing the pigment ratio data, the printing process is deeply optimized, the color accuracy and consistency are improved, the problems affecting the printing quality are retrieved in advance and solutions are obtained, and a quick response can be made when problems occur, reducing downtime and production losses;

[0034] 3. The present invention can record the entire printing process and generate a printing process plan through the process plan module, which is helpful to trace and analyze problems in the printing process, provide detailed reference materials for improving the process, set storage thresholds, and selectively record and delete printing process plans, which can save storage space and improve the operating efficiency of the system. The feature extraction function supports feature extraction formats of text, pictures and videos, enriches the information source of the process plan, and enables the feature information of traditional processes to be more comprehensively analyzed and recorded, providing strong support for the inheritance and innovation of traditional processes. The previous compensation plans are recorded in the calculation condition unit, which can quickly determine whether the current compensation plan is the same as the previous one, improves the efficiency of cost calculation, and provides an important economic reference for decision-making on the process plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0037] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0038] Embodiment 1:

[0039] Therefore, in order to effectively solve the above problems, the present application proposes an intelligent printing system based on AI color management, as shown in the accompanying drawings of the specification. Figure 1 As shown, it includes an image input module and a pigment data acquisition module. The image input module is used to input the printing image and analyze the image parameters of the printing image. The pigment data acquisition module can obtain the predicted effect information and actual effect information of different pigments printed on different papers. It also includes an image verification module, a parameter calibration module, a color difference compensation module, a monitoring indicator module and a process solution module;

[0040] The image verification module can obtain image parameter information, draw the original image information according to the image data, and then compare the original image information with the printed image information to analyze the data difference between the original image and the printed image;

[0041] A parameter calibration module, which obtains data difference information between the original recorded image and the printed image, calibrates the original recorded image information according to the data difference information, and generates calibrated image information;

[0042] The color difference compensation module analyzes the color difference compensation data of different pigments printed on different papers, and then generates a color difference printing plan;

[0043] The monitoring indicator module starts the printing press, enables the printing press to print according to the color difference printing scheme, and monitors the printing status in real time. When color deviation and problems affecting printing quality occur, timely adjustments can be made. At the same time, a quality compensation scheme unit is established to improve the response speed of the printing press.

[0044] The process scheme module can record the entire printing process, establish the traditional printing mode and the intelligent printing mode, and respectively establish the traditional process database and the intelligent process database in the traditional printing mode and the intelligent printing mode. At the same time, a feature extraction function is set in the traditional printing module. The traditional printing mode can extract features from the traditional process database according to the feature extraction function.

[0045] Establish a user feedback mechanism to allow users to evaluate and make suggestions on printing processes, and continuously improve the traditional process database and intelligent process database;

[0046] Develop a process plan recommendation function to automatically recommend the most suitable printing process plan based on the printing requirements and characteristics input by the user;

[0047] In the traditional printing mode and intelligent printing mode, the process optimization function is added to automatically adjust the process parameters according to the actual printing situation to improve the printing efficiency and quality;

[0048] It also includes a quality assessment module and a cost module;

[0049] The quality assessment module obtains the finished product image information after printing, and determines the similarity between the finished product image information and the printed image information, and analyzes the visual coordination in the finished product image information, and performs quality assessment on the finished product image information based on the similarity and visual coordination, and then transmits the quality assessment information to the process plan module;

[0050] The cost module obtains the entire process of printing the finished product image information, extracts the current compensation plan from it, and then establishes the calculation condition unit and the compensation cost unit. When the current compensation plan meets the conditions of the calculation condition unit, the compensation cost unit will be started to calculate the cost of the compensation plan;

[0051] Specific workflow: obtain image parameters, draw original recorded image information according to image data, analyze data difference between original recorded image and printed image, calibrate original recorded image information according to data difference information, generate calibrated image information, analyze color difference compensation data of different pigments printed on different papers, and then generate color difference printing scheme, monitor printing status in real time, make timely adjustments when color deviation and problems affecting printing quality occur, record the entire printing process, conduct quality assessment on finished product image information and calculate cost of compensation scheme;

[0052] Furthermore, the image verification module compares the original recorded image with the printed image, accurately analyzes the data difference, and promptly discovers potential problems. The color difference compensation module generates color difference printing solutions for different pigments and papers to minimize color difference problems, making the printed colors more vivid and accurate, thereby enhancing the visual effect. At the same time, a quality compensation solution unit is established to improve the response speed of the printing press, ensure that the printing results are closer to the original design intent, reduce the troubleshooting time, and ensure the continuity and efficiency of the printing process. The feature extraction function in the traditional printing mode can tap the uniqueness of the traditional process and provide users with more distinctive and personalized printing effects, meeting the special needs of different customers while enabling the traditional printing process to continue to develop.

[0053] Embodiment 2:

[0054] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1As shown, when the image verification module compares the original image information with the printed image information, it adjusts the original image information and the printed image information to the same size, and then overlaps the original image information and the printed image information. At this time, a reference point is randomly selected on the overlapping original image information and the printed image information, and then the original image information and the printed image information are divided into color areas based on the reference point, so as to obtain different original image color spaces and different printed image color spaces, and then the color information is extracted from the same point in the original image color space and the printed image color space at the same position. Let the color information extracted in the original image color space be Y C , let the color information extracted from the printed image color space be S C , let the number of extracted color information be N, let the color difference be S 差 ;

[0055]

[0056] According to the above formula, the color difference can be calculated and the data difference information between the original image and the printed image can be analyzed;

[0057] When comparing the original image information with the printed image information, in order to ensure accuracy, the image verification module will not only randomly select reference points for color area division, but also consider the impact of different lighting conditions on image color. For example, the original image and the printed image will be sampled multiple times under different lighting intensities and angles to obtain more comprehensive color information.

[0058] The parameter calibration module is capable of receiving information processed by the image verification module, thereby obtaining data difference information between the original recorded image and the printed image, and extracting the printed image information at the same time, and then adjusting the color data on the printed image information according to the data difference information, and generating a calibration scheme according to the adjustment information of the color data, and then adjusting the printed image information according to the calibration scheme, thereby generating calibrated image information;

[0059] More precise adjustments can be made by combining historical calibration data. For example, for a specific type of printed image or a specific pigment combination, the previous calibration scheme and adjustment effect can be recorded so that a suitable calibration scheme can be generated more quickly in subsequent processing;

[0060] The color difference compensation module can receive information processed by the parameter calibration module, and after analyzing the color difference compensation data of different pigments printed on different papers, it will analyze the pigment information used in the calibration image information and the printing paper information, and then reversely infer the actual pigment information during printing through the color difference compensation data and the pigment information used in the calibration image information, thereby analyzing the corresponding pigment ratio data, and then generating a color difference printing plan according to the pigment ratio data and the calibration image information;

[0061] The monitoring indicator module can extract the color difference printing scheme information and start the printing machine to make the printing machine print according to the color difference printing scheme information. During printing, the printed image will be monitored. When the printed image has color difference and problems affecting the printing quality, the cause of the problem will be monitored in time, and then the quality compensation scheme unit will be directly accessed. Let the number of reasons affecting the printing quality during the printing process be Y 数 , let the compensation return threshold be B 返 ;

[0062] When Y 数 返 When the printing information is determined to be unnecessary to be returned to the color difference compensation module for color difference compensation calculation;

[0063] When Y 数 ≥B 返 When the printing information is judged to be returned to the color difference compensation module for color difference compensation calculation, the color difference printing plan is regenerated, and the cause information affecting the printing quality during the printing process is recorded. When the same cause information affecting the printing quality is encountered for the second time but does not affect the printing quality, the same cause information affecting the printing quality will be ignored;

[0064] The quality compensation solution unit will search for problems that affect printing quality in advance, and simultaneously obtain solutions to the problems, and record the solutions to the problems that affect printing quality in the quality compensation solution unit, so that the solutions can be retrieved more quickly when the quality compensation solution unit is accessed;

[0065] The quality compensation program unit can be continuously updated and optimized by collecting more printing quality problems and solutions, using data analysis technology to find out the patterns and trends of common problems, and formulate preventive measures in advance. At the same time, the unit can share information with other printing companies or industry organizations to jointly improve the effectiveness and innovation of the printing quality compensation program;

[0066] ​Specific workflow: when comparing the original recorded image information with the printed image information, adjust the original recorded image information and the printed image information to the same size, overlap the original recorded image information and the printed image information, analyze the data difference information between the original recorded image and the printed image, adjust the color data on the printed image information according to the data difference information, generate a calibration scheme, and generate calibration image information according to the calibration scheme;

[0067] Analyze the pigment information used in the calibration image information and the printing paper information, reversely infer the actual pigment information during printing through the color difference compensation data and the pigment information used in the calibration image information, thereby analyzing the corresponding pigment ratio data, generating a color difference printing plan, and allowing the printing machine to print according to the color difference printing plan information. During printing, the printed image will be monitored, and when problems that affect the printing quality occur, they can be dealt with in a timely manner;

[0068] Furthermore, by adjusting the original image information and the printed image information to the same size and placing them in an overlapping manner, the accuracy and objectivity of the comparison are ensured, the color differences between the images can be comprehensively analyzed, and reference points can be randomly selected for color area division, which increases the randomness and comprehensiveness of the analysis and makes the calculation of color differences more accurate. By reversely inferring the actual pigment information during printing and analyzing the pigment ratio data, the printing process is deeply optimized, the color accuracy and consistency are improved, and problems affecting printing quality are retrieved in advance and solutions are obtained. It is possible to respond quickly when problems arise, reducing downtime and production losses.

[0069] Embodiment three:

[0070] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, the quality assessment module can receive the information processed by the monitoring index module to obtain the finished product image information, and then use the color feature comparison and structure similarity index method to analyze the similarity between the finished product image information and the printed image information, and then comprehensively judge the coordination of the finished product image information in terms of color, composition, clarity, details and overall effect;

[0071] The quality assessment module can be connected to an external image quality standard database to obtain the latest quality assessment standards and indicators in the industry in real time, and continuously update and optimize its own assessment methods. In addition, for some special types of printing products, such as art prints or high-end commercial prints, professional designers or artists can be invited to participate in the quality assessment to ensure the professionalism and authority of the assessment results.

[0072] The process plan module can obtain the information processed by the monitoring indicator module, and synchronously obtain the quality assessment information of the finished product image information, record the entire printing process, and generate a printing process plan, record the corresponding finished product image information quality assessment inside the corresponding printing process plan, and then set a storage threshold. When the quality assessment information exceeds the storage threshold, the corresponding printing process plan will be recorded. When the quality assessment information is lower than the storage threshold, the corresponding printing process plan will be deleted. At the same time, the feature extraction function supports feature extraction formats of text, pictures and videos;

[0073] When performing text extraction, users can directly edit the information in the feature extraction function, and then analyze the feature information of traditional processes based on the information in the feature extraction function;

[0074] When extracting images, the feature extraction function will directly divide the image information into layers. At this time, the user can select the required feature layer independently. Then the feature extraction function will analyze the feature information of traditional crafts according to the feature layer and record the corresponding feature layer.

[0075] When extracting videos, users can crop the videos to obtain characteristic clips, analyze the characteristic information of the transmission process based on the characteristic clips, and record the corresponding characteristic clips;

[0076] By analyzing the relationship between factors such as different paper types, pigment formulas, and printing press models and the image quality of finished products, more accurate process solution suggestions can be provided for new printing tasks;

[0077] For video extraction, in addition to users cropping videos to obtain featured clips, video content analysis technology can also be used to automatically identify key frames and featured scenes in videos, providing users with more featured clips to choose from;

[0078] The calculation condition unit of the cost module records the previous compensation schemes, and it is possible to analyze whether there is the same information in the previous compensation scheme as the current compensation scheme;

[0079] When the same information as the current compensation plan exists in the previous compensation plan, the conditions in the calculation condition unit are not met, and the compensation cost of the previous compensation plan will be directly transferred to the process plan module;

[0080] When there is information in the previous compensation plan that is different from the current compensation plan, the conditions in the calculation condition unit are met. At this time, the compensation cost unit will be started to calculate the cost of the compensation plan, and then the calculated cost will be transmitted to the process plan module;

[0081] The cost module can be integrated with the supply chain management system to obtain real-time raw material prices and supplier information so that changes in procurement costs can be considered in cost calculations. At the same time, the cost module can provide enterprises with cost forecasting and cost control suggestions to help them formulate more reasonable pricing strategies and production plans.

[0082] Specific workflow: Obtain finished product image information, analyze the similarity between the finished product image information and the printed image information using the color feature comparison and structure similarity index method, and make a comprehensive judgment on the coordination of the finished product image information in terms of color, composition, clarity, details and overall effect, so as to obtain quality assessment information of the finished product image information;

[0083] Record the entire printing process and generate a printing process plan. Record the corresponding finished product image information quality assessment in the corresponding printing process plan. When the user provides feature extraction information, the feature extraction function will extract the feature information of the traditional process in the feature extraction information and record it. Then, extract the corresponding current compensation plan from the printing process plan, calculate the cost of the compensation plan, and display the calculated cost information.

[0084] Furthermore, the process plan module can record the entire printing process and generate a printing process plan, which helps to trace and analyze problems in the printing process and provide detailed reference materials for improving the process. By setting storage thresholds and selectively recording and deleting printing process plans, storage space can be saved and the system's operating efficiency can be improved. The feature extraction function supports feature extraction formats of text, pictures, and videos, enriching the information sources of process plans and enabling the feature information of traditional processes to be more comprehensively analyzed and recorded, providing strong support for the inheritance and innovation of traditional processes. The calculation condition unit records previous compensation plans, which can quickly determine whether the current compensation plan is the same as before, improving the efficiency of cost calculation and providing an important economic reference for process plan decisions.

[0085] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent printing system based on AI color management, comprising an image input module and a pigment data acquisition module, wherein the image input module is used to input a printed image and analyze image parameters of the printed image, and the pigment data acquisition module is capable of acquiring predicted effect information and actual effect information of different pigments printed on different papers, characterized in that: It also includes an image verification module, a parameter calibration module, a color difference compensation module, a monitoring indicator module, and a process solution module; The image verification module can obtain image parameter information, draw the original image information according to the image data, and then compare the original image information with the printed image information to analyze the data difference between the original image and the printed image; A parameter calibration module, which obtains data difference information between the original recorded image and the printed image, calibrates the original recorded image information according to the data difference information, and generates calibrated image information; The color difference compensation module analyzes the color difference compensation data of different pigments printed on different papers, and then generates a color difference printing plan; The monitoring indicator module starts the printing press, enables the printing press to print according to the color difference printing scheme, and monitors the printing status in real time. When color deviation and problems affecting printing quality occur, timely adjustments can be made. At the same time, a quality compensation scheme unit is established to improve the response speed of the printing press. The process plan module can record the entire printing process, establish traditional printing mode and intelligent printing mode, and establish a traditional process database and an intelligent process database in the traditional printing mode and the intelligent printing mode respectively. At the same time, a feature extraction function is set in the traditional printing module. The traditional printing mode can extract features from the traditional process database based on the feature extraction function.

2. The intelligent printing system based on AI color management according to claim 1, characterized in that: It also includes a quality assessment module and a cost module; The quality assessment module obtains the finished product image information after printing, and determines the similarity between the finished product image information and the printed image information, and analyzes the visual coordination in the finished product image information, and performs quality assessment on the finished product image information based on the similarity and visual coordination, and then transmits the quality assessment information to the process plan module; The cost module obtains the entire process of printing the finished product image information, extracts the current compensation plan from it, and then establishes a calculation condition unit and a compensation cost unit. When the current compensation plan meets the conditions of the calculation condition unit, the compensation cost unit will be started to calculate the cost of the compensation plan.

3. The intelligent printing system based on AI color management according to claim 2, characterized in that: When the image verification module compares the original image information with the printed image information, it adjusts the original image information and the printed image information to the same size, and then overlaps the original image information and the printed image information. At this time, a reference point is randomly selected on the overlapped original image information and the printed image information, and then the original image information and the printed image information are divided into color areas based on the reference point, so as to obtain different original image color spaces and different printed image color spaces, and then color information is extracted from the same point in the original image color space and the printed image color space at the same position. Let the color information extracted in the original image color space be Y C , let the color information extracted from the printed image color space be S C , let the number of extracted color information be N, let the color difference be S 差 ; According to the above formula, the color difference can be calculated and the data difference information between the original image and the printed image can be analyzed.

4. The intelligent printing system based on AI color management according to claim 3, characterized in that: The parameter calibration module can receive information processed by the image verification module, thereby obtaining data difference information between the original recorded image and the printed image, and extracting the printed image information at the same time, and then adjusting the color data on the printed image information according to the data difference information, and generating a calibration scheme according to the adjustment information of the color data, and then adjusting the printed image information according to the calibration scheme, thereby generating calibrated image information.

5. The intelligent printing system based on AI color management according to claim 4, characterized in that: The color difference compensation module can receive information processed by the parameter calibration module. After analyzing the color difference compensation data of different pigments printed on different papers, it will analyze the pigment information used in the calibration image information and the printing paper information, and then reversely infer the actual pigment information during printing through the color difference compensation data and the pigment information used in the calibration image information, thereby analyzing the corresponding pigment ratio data, and then generating a color difference printing plan based on the pigment ratio data and the calibration image information.

6. The intelligent printing system based on AI color management according to claim 1, characterized in that: The monitoring indicator module can extract the color difference printing scheme information and start the printing machine to make the printing machine print according to the color difference printing scheme information. During printing, the printed image will be monitored. When the printed image has color difference and problems affecting the printing quality, the cause of the problem will be monitored in time, and then the quality compensation scheme unit will be directly accessed. Let the number of reasons affecting the printing quality during the printing process be Y 数 , let the compensation return threshold be B 返 ; When Y 数 返 When the printing information is determined to be unnecessary to be returned to the color difference compensation module for color difference compensation calculation;​ When Y 数 ≥B 返 When the printing information is judged to be returned to the color difference compensation module for color difference compensation calculation, the color difference printing plan is regenerated, and the cause information affecting the printing quality during the printing process is recorded. When the same cause information affecting the printing quality is encountered for the second time but does not affect the printing quality, the same cause information affecting the printing quality will be ignored; The quality compensation solution unit will search for problems that affect printing quality in advance, and simultaneously obtain methods to solve the problems, and record the methods to solve the problems that affect printing quality in the quality compensation solution unit, so that the solutions can be retrieved more quickly when the quality compensation solution unit is accessed.

7. The intelligent printing system based on AI color management according to claim 6, characterized in that: The quality assessment module can receive information processed by the monitoring index module to obtain finished product image information, and then use the color feature comparison and structural similarity index methods to analyze the similarity between the finished product image information and the printed image information, and then make a comprehensive judgment on the coordination of the finished product image information in terms of color, composition, clarity, details and overall effect.

8. The intelligent printing system based on AI color management according to claim 6, characterized in that: The process plan module can obtain the information processed by the monitoring indicator module, and synchronously obtain the quality assessment information of the finished product image information, record the entire printing process, and generate a printing process plan, record the corresponding finished product image information quality assessment inside the corresponding printing process plan, and then set a storage threshold. When the quality assessment information exceeds the storage threshold, the corresponding printing process plan will be recorded. When the quality assessment information is lower than the storage threshold, the corresponding printing process plan will be deleted. At the same time, the feature extraction function supports feature extraction formats of text, pictures and videos; When performing text extraction, users can directly edit the information in the feature extraction function, and then analyze the feature information of traditional processes based on the information in the feature extraction function; When extracting images, the feature extraction function will directly divide the image information into layers. At this time, the user can select the required feature layer independently. Then the feature extraction function will analyze the feature information of traditional crafts according to the feature layer and record the corresponding feature layer. When extracting videos, users can crop the videos to obtain featured segments, analyze the featured information of the transmission process based on the featured segments, and record the corresponding featured segments.

9. The intelligent printing system based on AI color management according to claim 2, characterized in that: The calculation condition unit of the cost module records the previous compensation schemes, and it is possible to analyze whether there is the same information in the previous compensation scheme as the current compensation scheme; When the same information as the current compensation plan exists in the previous compensation plan, the conditions in the calculation condition unit are not met, and the compensation cost of the previous compensation plan will be directly transferred to the process plan module; When there is information in the previous compensation plan that is different from the current compensation plan, the conditions in the calculation condition unit are met. At this time, the compensation cost unit will be started to calculate the cost of the compensation plan, and then the calculated cost will be transmitted to the process plan module.

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