Book printing intelligent manufacturing production supervision system
By designing a book printing intelligent manufacturing production supervision system, multi-dimensional supervision and dynamic optimization management of different publishing houses have been solved, and the independent supervision and regulation and control effect of overall printing production production has been improved.
Patent Information
- Application Number
- CN202510316305.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-18
- Publication Date
- 2025-04-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing book printing and manufacturing production supervision plan cannot conduct multi-dimensional supervision analysis and dynamic optimization management of different book printing quality in different publishers, resulting in poor independent supervision and regulation and control effects of the overall printing and production production.
Design a book printing intelligent manufacturing production supervision system, including printing production supervision and processing module and printing production production adjustment management module. The system monitors and statistics abnormal printing data, performs data processing and classification, generates printing type identification sequences, and performs multi-dimensional data analysis to adaptively adjust management and implement alarm prompts.
Multi-dimensional supervision and regulation management of different printing entities has been realized, and the overall independent supervision and regulation and control effect of printing production in the book printing industry has been improved.
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Figure CN119850361A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of printing supervision, and in particular to a book printing intelligent manufacturing production supervision system. Background Art
[0002] Book printing manufacturing refers to the process of turning text, pictures and other information into books through printing processes and technologies. This process includes multiple links, from the initial book design to the final product packaging, and each step requires precise operation and quality control.
[0003] When implemented, the existing book printing and manufacturing production supervision plan cannot conduct multi-dimensional supervision and analysis on the printing quality of different books from different publishing houses and implement corresponding abnormal printing evaluations, and cannot adaptively and dynamically optimize the printing of different books from different publishing houses based on the abnormal printing evaluation results, resulting in poor overall printing production self-supervision and regulatory control effects in the book printing industry. Summary of the invention
[0004] The purpose of the present invention is to provide a book printing intelligent manufacturing production supervision system to solve the technical problems of poor overall printing production autonomous supervision and regulation and control effects in the existing solutions of the book printing industry.
[0005] The purpose of the present invention can be achieved by the following technical solutions: A book printing intelligent manufacturing production supervision system includes a printing production supervision processing module, which is used to monitor and count all abnormal printing data of book printing production produced by different printing entities through different printing methods, and to process and classify the data of different book printing productions, and to process, analyze and combine the printing types corresponding to the different printing methods according to the first printing production and the second printing production obtained by classification, so as to obtain the printing type identification sequence corresponding to all the printing methods of the printing entity; The printing production adjustment and management module is used to perform multi-dimensional data analysis on all printing type identification sequences corresponding to different printing entities, and adaptively perform adjustment management of different methods according to the analysis results, as well as implement targeted alarm prompts; including prompting the regulatory entity to perform external adjustment management of unconventional abnormal printing methods, prompting the printing entity to perform internal adjustment management of the second printing method, or implementing corresponding printing methods for different abnormal printing entities. Alarm prompts; through multi-level supervision and processing management of book printing, multi-dimensional supervision and adjustment management of the book printing industry is realized.
[0006] Preferably, different printing methods implemented by the printing entity and different book printing productions corresponding to the different printing methods are obtained, and abnormal supervision data associated with different book printing productions are analyzed and classified; If the abnormal supervision data is empty, the corresponding book printing production is marked as the first printing production; If the abnormal supervision data is not empty, the corresponding book printing production will be marked as the second printing production.
[0007] Preferably, all second printing productions corresponding to different printing methods of the printing body and batch printing influence coefficients associated with different second printing productions are obtained; By formula Calculate and obtain the printing influence value FYY corresponding to all second printing productions of the same printing method; wherein, j is the different second printing productions associated with the same printing method, j=1, 2, 3, ..., m; m is a positive integer; PYYj is the batch printing influence coefficient of the different second printing productions associated with the same printing method; NP1 and NP2 are the total number of batch printing light influences and the total number of batch printing heavy influences, respectively; β is the calculation item weight, which is a real number greater than 1; P1 and P2 are the first influence standard value and the second influence standard value, respectively.
[0008] Preferably, the step of obtaining the batch printing influence coefficients associated with different second printing productions comprises: Obtain all abnormal items corresponding to the second printing production and the number of printed sheets corresponding to different abnormal items, and use the formula to convert all abnormal items corresponding to the second printing production and the number of abnormal printed sheets corresponding to them Calculate and obtain the printing impact coefficient PYY of the corresponding batch; where i is the different abnormal items corresponding to the second printing production, i=1, 2, 3, ..., n; n is a positive integer; YQi is the abnormal impact factor corresponding to the different abnormal items; Ni is the number of abnormal prints corresponding to the different abnormal items; N0 is the preset total number of prints corresponding to the corresponding batch printing.
[0009] Preferably, the steps of obtaining NP1 and NP2 include: Obtaining different second printing productions and corresponding batch printing influence coefficients associated with the same printing method, and comparing and classifying different batch printing influence coefficients with preset batch printing influence thresholds; If PYYj≤PYY0, the total number of slight impacts on batch printing NP1 corresponding to the printing method is increased by one; PYY0 is the batch printing impact threshold; Otherwise, the total number NP2 of the batch printing severity impact corresponding to the printing method is increased by one.
[0010] Preferably, when performing data analysis on the printing mode printing influence value obtained by the corresponding processing of the printing mode and determining the corresponding printing type; If FYY≤0, the associated printing mode is assigned the slightly affected type, and the corresponding printing type identifier is set to 1; Otherwise, the printing mode is associated with the printing heavy impact type, and the corresponding printing type identifier is set to 2; The printing method and printing type identifications obtained through the printing method supervision process of the printing entity are sorted and combined to obtain a corresponding printing method and printing type identification sequence.
[0011] Preferably, when obtaining the mode printing type identification sequences associated with all printing entities and implementing different aspects of printing adjustment control according to all mode printing type identification sequences, obtain the mode printing type identifications of different printing entities belonging to the same printing mode, and count the total number of mode printing type identifications with a value of 2 and the total number of mode printing type identifications with a value of 1; If n1+n2≥n0*K%, the printing method is marked as an unconventional abnormal printing method, and the regulatory body is prompted to conduct external regulation management on the unconventional abnormal printing method; n1, n2, and n0 are the total number of printing type identifications with a statistical value of 2, the total number of printing type identifications with a statistical value of 1, and the total number of all printing entities corresponding to the printing method; K is a real number greater than 0 and less than 100; Otherwise, the printing mode will be marked as a normal abnormal printing mode, and the printing entity will be prompted to perform internal adjustment management on the normal abnormal printing mode.
[0012] Preferably, all conventional abnormal printing methods associated with the printing subject and the printing type identifiers corresponding to different conventional abnormal printing methods are obtained, and the formula Calculate and obtain the printing implementation effect value YSX corresponding to the printing subject; where M1, M2, and M0 are respectively the total number of conventional abnormal printing methods of the printing type identification with a value of 1 corresponding to the printing subject, the total number of conventional abnormal printing methods of the printing type identification with a value of 2, and the total number of all printing methods implemented by the printing subject; P3 is the printing implementation standard value; If YSX>1, the printing entity is prompted to implement internal adjustment management of the overall printing method; Otherwise, a warning prompt will be given to the printing entity to implement the partial printing mode.
[0013] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention obtains printing type identifications corresponding to different printing methods and printing type identification sequences corresponding to different printing subjects by respectively processing, calculating and combining all single printing supervision screening data associated with different printing methods corresponding to printing subjects, thereby realizing multi-dimensional supervision and digital processing combination for printing implemented by different printing subjects, which can not only realize the digital representation of abnormal printing effects corresponding to different printing methods of different printing subjects, but also provide reliable supervision processing data support for subsequent adjustment and management of different printing subjects and different printing methods.
[0014] The present invention performs multi-dimensional data analysis on all printing type identification sequences corresponding to different printing subjects, and adaptively performs different mode adjustment management according to the analysis results, as well as implements targeted alarm prompts, thereby realizing extended analysis and management at the printing method level and the printing subject level respectively. By performing multi-level supervision and processing management on book printing, multi-dimensional supervision and adjustment management of the book printing industry is realized, thereby improving the overall autonomous supervision effect and adjustment control effect of the printing production in the book printing industry. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] The present invention will be further described below in conjunction with the accompanying drawings.
[0016] Figure 1 The present invention is a flowchart of the operation of a book printing intelligent manufacturing production supervision system.
[0017] Figure 2 This is a flowchart of the first printing production and the second printing production analysis obtained in the present invention.
[0018] Figure 3 It is a flowchart of performing data analysis on the printing influence value obtained by processing the printing mode in accordance with the present invention.
[0019] Figure 4 It is a flowchart obtained by analyzing the unconventional abnormal printing method and the conventional abnormal printing method in the present invention. DETAILED DESCRIPTION
[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0021] like Figure 1As shown, the present invention is a book printing intelligent manufacturing production supervision system, including a printing production supervision processing module and a printing production adjustment management module; The printing production supervision processing module is used to monitor and count all abnormal printing data of book printing and production by different printing entities through different printing methods, and to process and classify the data of different book printing and production, and to process, analyze and combine the printing types corresponding to different printing methods according to the first printing and second printing obtained by classification, so as to obtain the printing type identification sequence corresponding to all printing methods of the printing entity; including: It should be noted that the printing entity may specifically be a publishing house, and the printing method includes but is not limited to lithography, gravure printing, screen printing or digital printing; Obtain different printing methods implemented by the printing entity, and different book printing productions corresponding to different printing methods, and perform data analysis and classification on abnormal supervision data associated with different book printing productions; abnormal supervision data associated with different book printing productions can be realized based on the existing automated abnormal supervision statistical technology, and the abnormal supervision data includes several abnormal items, and the abnormal items specifically include but are not limited to ink printing abnormalities, font printing abnormalities, and typesetting abnormalities; like Figure 2 As shown, if the abnormal supervision data is empty, the corresponding book printing production is marked as the first printing production; If the abnormal supervision data is not empty, the corresponding book printing production is marked as the second printing production; In the embodiment of the present invention, by analyzing and marking the abnormal supervision data associated with different printing methods and different book printing production, reliable single printing supervision screening data support can be provided for subsequent multi-level printing supervision analysis; Obtaining all second printing productions corresponding to different printing methods of the printing body, and batch printing influence coefficients associated with different second printing productions; The step of obtaining the batch printing influence coefficients associated with different second printing productions includes: Obtain all abnormal items corresponding to the second printing production and the number of printed sheets corresponding to different abnormal items, and use the formula to convert all abnormal items corresponding to the second printing production and the number of abnormal printed sheets corresponding to them Calculate and obtain the printing impact coefficient PYY of the corresponding batch; where i is the different abnormal items corresponding to the second printing production, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of all abnormal items that appear; YQi is the abnormal impact factor corresponding to different abnormal items, and the abnormal impact factor is used to digitally represent the abnormal impact of the abnormal item to which it belongs, and the specific value can be determined according to the total number of historical occurrences; Ni is the number of abnormal printed sheets corresponding to different abnormal items; N0 is the preset total number of printed sheets corresponding to the corresponding batch printing; It should be noted that the batch printing influence coefficient is used to process and calculate all abnormal data generated in the batch printing process to digitally represent the abnormal printing influence of the batch printing; By formula Calculate and obtain the printing influence value FYY corresponding to all second printing productions of the same printing method; wherein, j is the different second printing productions associated with the same printing method, j=1, 2, 3, ..., m; m is a positive integer, representing the total number of all associated second printing productions; PYYj is the batch printing influence coefficient of the different second printing productions associated with the same printing method; NP1 and NP2 are the total number of slight impacts of batch printing and the total number of severe impacts of batch printing, respectively; β is the calculation item weight, which is a real number greater than 1, and the specific value is not limited and can be customized according to the application requirements of the actual application scenario; P1 and P2 are the first impact standard value and the second impact standard value, respectively, and the specific values can be determined according to the actual application requirements of the actual application scenario, or can be determined according to the previous test data corresponding to all printing methods of all printing entities; It should be noted that the printing mode impact value is used to process and calculate all the single printing supervision screening data associated with the same printing mode in the previous period, so as to digitally represent the abnormal printing impact corresponding to the printing mode; The steps of obtaining NP1 and NP2 include: Obtain different second printing productions and corresponding batch printing influence coefficients associated with the same printing method, and compare and classify different batch printing influence coefficients with preset batch printing influence thresholds; the specific value of the batch printing influence threshold can be determined according to the actual application requirements of the actual application scenario, or according to the previous test data corresponding to the printing method; If PYYj≤PYY0, the total number of slight impacts on batch printing NP1 corresponding to the printing method is increased by one; PYY0 is the batch printing impact threshold; Otherwise, the total number of batch printing severity impacts NP2 corresponding to the printing method is increased by one; like Figure 3As shown, when the printing influence value obtained by the corresponding processing of the printing method is analyzed and the corresponding printing type is determined; If FYY≤0, the associated printing mode is assigned the slightly affected type, and the corresponding printing type identifier is set to 1; Otherwise, the printing mode is associated with the printing heavy impact type, and the corresponding printing type identifier is set to 2; In addition, the printing modes that are all marked as the first printing production are associated with the normal printing type, and the corresponding printing type identifier is set to 0; Sorting and combining the printing type identifications obtained from the printing method supervision process of all printing entities to obtain a corresponding printing type identification sequence; In the embodiment of the present invention, by processing, calculating and combining the single printing supervision screening data associated with different printing methods corresponding to the printing subject respectively, the printing type identification corresponding to the different printing methods and the printing type identification sequence corresponding to the different printing subjects are obtained, thereby realizing multi-dimensional supervision and digital processing combination of printing implemented by different printing subjects, which can not only realize the digital representation of abnormal printing effects corresponding to different printing methods of different printing subjects, but also provide reliable supervision processing data support for the subsequent adjustment and management of different printing subjects and different printing methods.
[0022] The printing production adjustment management module is used to perform multi-dimensional data analysis on all printing type identification sequences corresponding to different printing entities, and adaptively perform different adjustment management according to the analysis results, and implement targeted alarm prompts; including: Obtaining the mode printing type identification sequences associated with all printing entities, and implementing different aspects of printing adjustment control according to all mode printing type identification sequences, obtaining the mode printing type identifications of different printing entities belonging to the same printing mode, and counting the total number of mode printing type identifications with a value of 2 and the total number of mode printing type identifications with a value of 1; like Figure 4 As shown, if n1+n2≥n0*K%, the printing method is marked as an unconventional abnormal printing method, and the regulatory body is prompted to perform external regulation management on the unconventional abnormal printing method; n1, n2, and n0 are the total number of printing type identifications with a statistical value of 2 corresponding to the printing method, the total number of printing type identifications with a statistical value of 1, and the total number of all printing entities; K is a real number greater than 0 and less than 100, and the specific value is not limited and can be customized according to the application requirements of the actual application scenario; It is understandable that unconventional and abnormal printing methods indicate that the printing impact they produce is due to technical reasons rather than the reasons at the printing entity level, and that regulatory entities need to intervene to conduct external regulation and management. Specifically, policy support or financial subsidies can be used to upgrade and improve the technology of unconventional and abnormal printing methods. Otherwise, the printing method is marked as a normal abnormal printing method, and the printing entity is prompted to perform internal adjustment management on the normal abnormal printing method; Conventional abnormal printing means that the printing impact caused by it is caused by the printing entity, and the printing entity needs to conduct internal adjustment management, such as active operation and maintenance of conventional abnormal printing methods and equipment upgrades; It should be noted that in the embodiment of the present invention, by performing data analysis on the abnormalities at the printing method level for all printing type identification sequences, and implementing targeted multi-dimensional adjustment management based on the analysis results, the diversity and reliability of abnormal supervision and adjustment management at the printing method level are improved; And, obtain all the conventional abnormal printing methods associated with the printing subject, as well as the printing type identifiers corresponding to different conventional abnormal printing methods, and use the formula Calculate and obtain the printing implementation effect value YSX corresponding to the printing subject; where M1, M2, and M0 are respectively the total number of conventional abnormal printing methods of the printing type identification with a value of 1 corresponding to the printing subject, the total number of conventional abnormal printing methods of the printing type identification with a value of 2, and the total number of all printing methods implemented by the printing subject; P3 is the printing implementation standard value; If YSX>1, the printing entity is prompted to implement internal adjustment management of the overall printing method; Otherwise, a warning prompt will be given to the printing subject to implement the partial printing mode; It is worth noting that on the basis of the supervision, processing and analysis of different printing methods, all the conventional abnormal printing method data obtained in the previous processing are further expanded and utilized to conduct abnormal data analysis at the printing entity level, and implement targeted internal adjustment management or alarm prompts based on the analysis results.
[0023] In the embodiment of the present invention, by performing multidimensional data analysis on all printing type identification sequences corresponding to different printing entities, and adaptively performing different mode adjustment management according to the analysis results, and implementing targeted alarm prompts, it is possible to perform extended analysis and management on the printing method level and the printing entity level respectively, and by performing multi-level supervision and processing management on book printing, it is possible to achieve multi-dimensional supervision and adjustment management of the book printing industry, thereby improving the overall autonomous supervision effect and adjustment control effect of the printing production in the book printing industry.
[0024] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.
[0025] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0026] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.
[0027] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.
[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.
Claims
1. A book printing intelligent manufacturing production supervision system, characterized in that: It includes a printing production supervision processing module, which is used to monitor and count all abnormal printing data of book printing and production by different printing entities through different printing methods, and to process and classify the data of different book printing and production, and to process, analyze and combine the printing types corresponding to the different printing methods according to the first printing and second printing obtained by classification, so as to obtain the printing type identification sequence corresponding to all printing methods of the printing entity; The printing production adjustment management module is used to perform multi-dimensional data analysis on all printing type identification sequences corresponding to different printing entities, and adaptively perform different adjustment management according to the analysis results, as well as implement targeted alarm prompts; It includes prompting the regulatory body to conduct external adjustment management, prompting the printing body to conduct internal adjustment management, or implementing corresponding printing methods for different abnormal printing bodies. Through multi-level supervision and processing management of book printing, multi-dimensional supervision and adjustment management of the book printing industry is achieved.
2. According to claim 1, a book printing intelligent manufacturing production supervision system is characterized in that: Obtain different printing methods implemented by printing entities, as well as different book printing productions corresponding to different printing methods, and perform data analysis and classification on abnormal supervision data associated with different book printing productions; If the abnormal supervision data is empty, the corresponding book printing production is marked as the first printing production; If the abnormal supervision data is not empty, the corresponding book printing production will be marked as the second printing production.
3. According to claim 2, a book printing intelligent manufacturing production supervision system is characterized in that: Obtaining all second printing productions corresponding to different printing methods of the printing body, and batch printing influence coefficients associated with different second printing productions; By formula Calculate and obtain the printing influence value FYY corresponding to all second printing productions of the same printing method; where j is the different second printing productions corresponding to the same printing method, j=1, 2, 3, ..., m; m is a positive integer; PYYj is the batch printing impact coefficient of different second printing productions corresponding to the same printing method; NP1 and NP2 are the total number of batch printing light impacts and the total number of batch printing heavy impacts, respectively; β is the calculation item weight, which is a real number greater than 1; P1 and P2 are the first impact standard value and the second impact standard value, respectively.
4. According to claim 3, a book printing intelligent manufacturing production supervision system is characterized in that: The steps of obtaining the batch printing influence coefficients associated with different second printing productions include: Obtain all abnormal items corresponding to the second printing production and the number of printed sheets corresponding to different abnormal items, and use the formula to convert all abnormal items corresponding to the second printing production and the number of abnormal printed sheets corresponding to them Calculate and obtain the printing impact coefficient PYY of the corresponding batch; where i is the different abnormal items corresponding to the second printing production, i=1, 2, 3, ..., n; n is a positive integer; YQi is the abnormal impact factor corresponding to the different abnormal items; Ni is the number of abnormal prints corresponding to the different abnormal items; N0 is the preset total number of prints corresponding to the corresponding batch printing.
5. According to claim 3, a book printing intelligent manufacturing production supervision system is characterized in that: The steps for obtaining NP1 and NP2 include: Obtaining different second printing productions and corresponding batch printing influence coefficients associated with the same printing method, and comparing and classifying different batch printing influence coefficients with preset batch printing influence thresholds; If PYYj≤PYY0, the total number of slight impacts on batch printing NP1 corresponding to the printing method is increased by one; PYY0 is the batch printing impact threshold; Otherwise, the total number NP2 of the batch printing severity impact corresponding to the printing method is increased by one.
6. According to claim 3, a book printing intelligent manufacturing production supervision system is characterized in that: When performing data analysis on the printing influence values obtained by the corresponding processing of the printing methods and determining the corresponding printing types; If FYY≤0, the associated printing mode is assigned the slightly affected type, and the corresponding printing type identifier is set to 1; Otherwise, the printing mode is associated with the printing heavy impact type, and the corresponding printing type identifier is set to 2; The printing method and printing type identifications obtained through the printing method supervision process of the printing entity are sorted and combined to obtain a corresponding printing method and printing type identification sequence.
7. A book printing intelligent manufacturing production supervision system according to claim 6, characterized in that: Obtaining the mode printing type identification sequences associated with all printing entities, and implementing different aspects of printing adjustment control according to all mode printing type identification sequences, obtaining the mode printing type identifications of different printing entities belonging to the same printing mode, and counting the total number of mode printing type identifications with a value of 2 and the total number of mode printing type identifications with a value of 1; If n1+n2≥n0*K%, the printing method is marked as an unconventional abnormal printing method, and the regulatory body is prompted to conduct external regulation management on the unconventional abnormal printing method; n1, n2, and n0 are the total number of printing type identifications with a statistical value of 2, the total number of printing type identifications with a statistical value of 1, and the total number of all printing entities corresponding to the printing method; K is a real number greater than 0 and less than 100; Otherwise, the printing mode will be marked as a normal abnormal printing mode, and the printing entity will be prompted to perform internal adjustment management on the normal abnormal printing mode.
8. The book printing intelligent manufacturing production supervision system according to claim 7 is characterized in that: Get all the conventional and abnormal printing methods associated with the printing subject, as well as the printing type identifiers corresponding to different conventional and abnormal printing methods, and use the formula Calculate and obtain the printing implementation effect value YSX corresponding to the printing subject; where M1, M2, and M0 are respectively the total number of conventional abnormal printing methods of the printing type identification with a value of 1 corresponding to the printing subject, the total number of conventional abnormal printing methods of the printing type identification with a value of 2, and the total number of all printing methods implemented by the printing subject; P3 is the printing implementation standard value; If YSX>1, the printing entity is prompted to implement internal adjustment management of the overall printing method; Otherwise, a warning prompt will be given to the printing entity to implement the partial printing mode.
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