A printing process quality monitoring and management system

Abstract

The present invention discloses a printing process quality monitoring and management system, which belongs to the field of printing supervision technology. It is used to solve the technical problems that the multi-dimensional supervision processing and analysis effects of the printing process quality of different printing subjects in the existing solutions are not good, and the autonomous sharing and recommendation effects of printing process quality in different aspects are not good. The historical printing data corresponding to different printing subjects in the target area are supervised in multiple dimensions, and the processing results of the single printing supervision data obtained by the previous processing are expanded and utilized to calculate and digitally combine the data of abnormal states of printing types of different dimensions for different printing types of different printing subjects. According to the abnormal supervision processing data set of the subject type corresponding to different printing subjects in the target area, the printing process quality of different printing types is processed and analyzed in multiple dimensions, and the printing process quality of different printing types and the printing process quality of different printing subjects are adaptively dynamically recommended and prompted.

Description

Technical Field

[0001] The present invention relates to the technical field of printing supervision, and in particular to a printing process quality monitoring and management system. Background Art

[0002] Printing process quality refers to the general term for the technical standards and effects achieved during the production process of printed products. It involves every step from design, printing to finished products, and includes the evaluation of the appearance and functional characteristics of the finished products. The printing process quality directly affects the aesthetics, functionality and durability of the final product, and is one of the important indicators for measuring the technical level and service quality of printing companies.

[0003] When implemented, the existing printing process quality monitoring and management scheme cannot conduct multi-dimensional supervision and data analysis on the printing process quality of different printing entities, and determine the multi-dimensional local printing quality and overall printing quality of the printing processes corresponding to different printing entities based on the data analysis results. At the same time, according to the analysis results, dynamic alarm recommendations are adaptively given to the printing process quality of different printing entities. There are problems such as poor multi-dimensional supervision and analysis of the printing process quality of different printing entities, and poor autonomous multi-dimensional dynamic sharing recommendation prompts. Summary of the invention

[0004] The purpose of the present invention is to provide a printing process quality monitoring and management system to solve the technical problems that the multi-dimensional supervision, processing and analysis of the printing process quality of different printing entities in the existing solutions are not effective, and the autonomous sharing and recommendation of printing process quality in different aspects are not effective.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A printing process quality monitoring and management system, comprising:

[0007] The multi-dimensional supervision and processing module of printing process quality is used to carry out multi-dimensional supervision and data processing combination of historical printing data corresponding to different printing subjects in the target area, obtain the main printing type supervision and processing sequence set corresponding to different printing subjects and upload it to the printing process supervision platform;

[0008] The printing process quality multi-dimensional analysis and processing module is used to process and analyze the abnormal printing status of different printing subjects corresponding to different printing types from different dimensions according to the main printing type supervision and processing sequence set, and sort and combine the analysis results of different dimensions to obtain the main type abnormal supervision and processing data set and upload it to the printing process supervision platform;

[0009] The multi-dimensional evaluation management module of printing process quality is used to perform multi-dimensional processing and analysis on the printing process quality of different printing types according to the abnormal supervision processing data set of the subject types corresponding to different printing subjects in the target area, and adaptively perform dynamic recommendation and prompt management on the printing process quality of different printing types and the printing process quality of different printing subjects according to the analysis results;

[0010] Among them, the printing process quality of different printing types is processed and analyzed in the local printing type dimension according to the abnormal supervision processing set of the subject type corresponding to different printing subjects in the target area;

[0011] According to the same printing type, the type abnormality supervision processing data corresponding to different printing entities are obtained and analyzed to obtain the excellent printing type, the regular printing type or the abnormal printing type;

[0012] All excellent printing types and their corresponding printing bodies, all conventional printing types and their corresponding printing bodies, and all abnormal printing types and their corresponding printing bodies are sorted and combined respectively to obtain corresponding printing type status analysis data;

[0013] When the printing process quality of different printing subjects is processed and analyzed in the overall printing type dimension according to the subject type abnormal supervision processing set corresponding to different printing subjects in the target area;

[0014] The type anomaly supervision and processing data of the printing subject corresponding to all printing types is obtained and traversed and analyzed to obtain an excellent printing subject, an abnormal printing subject or a regular printing subject.

[0015] Preferably, all printed bodies in the target area are obtained and numbered and marked respectively;

[0016] And, sequentially acquiring historical printing data corresponding to different printing subjects, and monitoring and processing each printing quality status of different printing subjects corresponding to different printing types according to the historical printing data;

[0017] Obtain all single printing supervision data corresponding to different printing types in the historical printing data, and process and analyze all single printing supervision data corresponding to different printing types to obtain the total number of printed sheets in the single printing supervision data, and the total number of abnormal type sheets corresponding to different printing types;

[0018] When traversing, analyzing and classifying the total number of abnormal types of sheets corresponding to different printing types in the single printing supervision data;

[0019] If the total number of abnormal types corresponding to different printing types is 0, a normal label for overall printing is generated, and the corresponding single printing data is associated with a single printing abnormality mark with a value of 0.

[0020] Preferably, if the total number of abnormal types corresponding to different printing types is not 0, a printing local abnormality label is generated, and the total number of printing types with a value not equal to 0 is calculated by the formula Calculate and obtain the single printing abnormality mark DY corresponding to the single printing data; where k is the different abnormality types that appear, k=1, 2, 3, ..., n; n is a positive integer; NZ and NYk are the total number of printed sheets and the total number of sheets of different abnormal types in the single printing supervision data respectively; LYk is the abnormality influence coefficient corresponding to different abnormality types;

[0021] Sort and combine the single printing abnormality marks obtained by processing all single printing data corresponding to a single printing type of the printing subject to obtain a local printing type supervision processing sequence;

[0022] The local printing type supervision processing sequences corresponding to all printing types of the printing subject are sorted and combined to obtain a main body printing type supervision processing sequence set.

[0023] Preferably, when processing and analyzing the type printing states of different printing bodies corresponding to different printing types according to the main body printing type supervision processing sequence set;

[0024] Obtain the local printing type supervision processing sequence corresponding to a single same printing type of different printing subjects in turn, and perform type printing abnormality impact analysis on the printing subject in its own dimension according to the local printing type supervision processing sequence. Traverse the local printing type supervision processing sequence of the single printing type of the printing subject, and count the total number of single printing abnormalities NLY and the total number of type printings NLZ with non-zero values, and use the formula to calculate the statistical data. The printing type abnormality value YYL of the printing body corresponding to a single printing type is calculated and obtained; wherein max{} indicates obtaining the maximum value among several real numbers.

[0025] Preferably, data analysis is performed on the abnormal values ​​of the printing type obtained by calculating different printing types and the abnormal standard values ​​of the printing type respectively;

[0026] If the abnormal value of the printing type itself is greater than or equal to the abnormal standard value of the printing type, the printing type to which it belongs is associated with the first type of severe abnormal label;

[0027] Otherwise, the printing type is associated with the first type of mild abnormality label;

[0028] All the printing type abnormality values ​​of the printing body obtained by processing different printing types and their corresponding labels are sorted and combined to obtain a first printing abnormality processing sequence.

[0029] Preferably, when the type printing abnormality impact processing analysis of a single printing type of the external dimension is performed on the printing body according to the local printing type supervision processing sequence, the total number of single printing abnormal sheets NLY and the total number of type printing sheets NLZ obtained by the corresponding processing of the single printing type of the printing body are calculated by the formula Calculate and obtain the external printing type abnormal value EYL corresponding to a single printing type of the printing body; where A is the overall abnormal value of the printing type; [*] is a rounding function, indicating obtaining the maximum integer not exceeding the real number *.

[0030] Preferably, data analysis is performed on the external printing type abnormal value, and if the external printing type abnormal value is 0, the corresponding printing type is associated with a second type of mild abnormal label;

[0031] If the external printing type abnormal value is not 0, the corresponding printing type is associated with the second type of severe abnormal label;

[0032] Sorting and combining all external printing type abnormal values ​​and their corresponding labels obtained by processing the printing body in accordance with different printing types, to obtain a second printing abnormality processing sequence;

[0033] The first printing exception processing sequence and the second printing exception processing sequence obtained by corresponding processing of different printing subjects are sorted and combined to obtain a subject type exception supervision processing data set and upload it to the printing process supervision platform.

[0034] Preferably, if the type abnormality supervision processing data includes a first type mild abnormality label and a second type mild abnormality label, the printing type of the corresponding printing body is marked as an excellent printing type;

[0035] If the type abnormality supervision processing data includes a first type severe abnormality label or a second type severe abnormality label, the printing type of the corresponding printing body is marked as a regular printing type;

[0036] If the type anomaly supervision processing data includes a first type severe anomaly label and a second type severe anomaly label, the printing type of the corresponding printing body is marked as an abnormal printing type.

[0037] Preferably, the type abnormality supervision processing data corresponding to all printing types of the printing subject is obtained and traversed and analyzed. If all the printing types corresponding to the traversal obtained are the first type of mild abnormality labels, the corresponding printing subject is marked as an excellent printing subject;

[0038] If all the printing types corresponding to the traversal obtain the second type of slightly abnormal labels, then the corresponding printing body is marked as an abnormal printing body;

[0039] If all the printing types corresponding to the traversal have the first type of slightly abnormal labels and the second type of slightly abnormal labels, the corresponding printing body is marked as a regular printing body.

[0040] Preferably, when a user inputs a requested printing type through the printing process supervision platform, all excellent printing types that are the same as the requested printing type and the printing bodies to which all the same excellent printing types belong will be recommended to the user as excellent printing types and excellent printing bodies.

[0041] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0042] The present invention performs multi-dimensional supervision on the historical printing data corresponding to different printing entities in the target area, and processes and calculates the different single printing supervision data of different printing types to obtain the corresponding single printing abnormality identification. It can not only realize the digital representation of different single printing supervision data of different printing types, but also provide reliable single printing supervision processing data support for subsequent printing quality supervision analysis of different printing types and printing quality supervision analysis of different printing entities, thereby improving the diversity of single printing supervision data processing and expanded utilization.

[0043] The present invention expands and utilizes the single printing supervision data processing results obtained in the previous processing to perform data calculation, digital representation and combination of abnormal printing type status in different dimensions for different printing types of different printing subjects, thereby realizing multi-dimensional supervision processing and analysis of different printing types of different printing subjects, and improving the multi-dimensional supervision processing and analysis effect of the printing process quality of different printing subjects.

[0044] The present invention performs multi-dimensional processing and analysis on the printing process quality of different printing types according to the abnormal supervision processing data set of the subject types corresponding to different printing subjects in the target area, and adaptively performs dynamic recommendation and prompt management on the printing process quality of different printing types and the printing process quality of different printing subjects according to the analysis results, thereby realizing diversified and autonomous recommendations on the printing process quality of different printing subjects and different printing types, and improving the autonomous multi-dimensional dynamic sharing recommendation and prompt effect of the printing process quality of different printing subjects. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] Figure 1 This is a module block diagram of a printing process quality monitoring and management system of the present invention.

[0047] Figure 2 The present invention is a flowchart of the steps of running a printing process quality monitoring and management system.

[0048] Figure 3 This is a flowchart obtained by analyzing the first printing exception processing sequence in the present invention.

[0049] Figure 4 This is a flowchart obtained by analyzing the second printing exception processing sequence in the present invention. DETAILED DESCRIPTION

[0050] 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.

[0051] like Figure 1 to Figure 2 As shown, the present invention is a printing process quality monitoring and management system, including a printing process quality multi-dimensional supervision processing module, a printing process quality multi-dimensional analysis processing module, a printing process quality multi-dimensional evaluation management module and a printing process supervision platform;

[0052] The multi-dimensional supervision and processing module of printing process quality is used to perform multi-dimensional supervision and data processing combination on the historical printing data corresponding to different printing subjects in the target area, obtain the main printing type supervision and processing sequence set corresponding to different printing subjects and upload it to the printing process supervision platform; the specific steps include:

[0053] Obtain all printed entities in the target area and mark them by number;

[0054] The target area may be specifically an administrative area, or customized according to the actual application needs of the actual application scenario; the printing subject is a printing shop;

[0055] And, sequentially acquiring historical printing data corresponding to different printing subjects, and monitoring and processing each printing quality status of different printing subjects corresponding to different printing types according to the historical printing data;

[0056] Among them, the printing type includes pure digital type, pure image type and digital image mixed type;

[0057] Obtain all single printing supervision data corresponding to different printing types in the historical printing data, and process and analyze all single printing supervision data corresponding to different printing types to obtain the total number of printed sheets in the single printing supervision data, and the total number of abnormal type sheets corresponding to different printing types;

[0058] When traversing, analyzing and classifying the total number of abnormal types of sheets corresponding to different printing types in the single printing supervision data;

[0059] Among them, the abnormal types include but are not limited to overprint abnormality, hue abnormality, text and pattern abnormality, physical damage abnormality, ink abnormality, material abnormality, etc.;

[0060] In addition, a corresponding abnormal impact coefficient is preset for each abnormal type, and the abnormal impact coefficient is used to digitally represent the abnormal negative impact corresponding to the abnormal type. The specific value of the abnormal impact coefficient corresponding to the different abnormal types can be determined according to the total number of occurrences of the corresponding abnormal type, or can be determined by professional and technical personnel in this field according to work experience and printing requirements; the monitoring and statistics of different abnormal types corresponding to different printing types can be implemented and networked according to the existing printing quality detection and identification technical solutions;

[0061] If the total number of abnormal types corresponding to different printing types is 0, a normal label for overall printing is generated, and the corresponding single printing data is associated with a single printing abnormality label with a value of 0;

[0062] If the total number of abnormal types corresponding to different printing types is not 0, a printing local abnormality label is generated, and the total number of printing types with a non-zero value is calculated through the formula Calculate and obtain the single printing abnormality mark DY corresponding to the single printing data; where k is the different abnormality types that appear, k=1, 2, 3, ..., n; n is a positive integer; NZ and NYk are the total number of printed sheets and the total number of sheets of different abnormal types in the single printing supervision data respectively; LYk is the abnormality influence coefficient corresponding to different abnormality types;

[0063] In the embodiment of the present invention, the single printing abnormality mark is used to calculate various printing data of different aspects during single printing to digitally represent a single type of single printing abnormal state;

[0064] Sort and combine the single printing abnormality marks obtained by processing all single printing data corresponding to a single printing type of the printing subject to obtain a local printing type supervision processing sequence;

[0065] Sorting and combining the local printing type supervision processing sequences corresponding to all printing types of the printing subject to obtain a main body printing type supervision processing sequence set;

[0066] In the embodiment of the present invention, by performing multi-dimensional supervision on the historical printing data corresponding to different printing entities in the target area, and processing and calculating the different single printing supervision data of different printing types to obtain the corresponding single printing abnormality identification, it is possible to realize the digital representation of different single printing supervision data of different printing types, and provide reliable single printing supervision processing data support for subsequent printing quality supervision analysis of different printing types and printing quality supervision analysis of different printing entities, thereby improving the diversity of single printing supervision data processing and expanded utilization.

[0067] The printing process quality multi-dimensional analysis and processing module is used to process and analyze the abnormal printing status of different printing subjects corresponding to different printing types from different dimensions according to the main printing type supervision and processing sequence set, and sort and combine the analysis results of different dimensions to obtain the main type abnormal supervision and processing data set and upload it to the printing process supervision platform; the specific steps include:

[0068] When processing and analyzing the type printing status of different printing subjects corresponding to different printing types according to the main printing type supervision processing sequence set;

[0069] Obtain the local printing type supervision processing sequence corresponding to a single same printing type of different printing subjects in turn, and perform type printing abnormality impact analysis on the printing subject in its own dimension according to the local printing type supervision processing sequence. Traverse the local printing type supervision processing sequence of the single printing type of the printing subject, and count the total number of single printing abnormalities NLY and the total number of type printings NLZ with non-zero values, and use the formula to calculate the statistical data. Calculate and obtain the printing type abnormal value YYL of the printing body corresponding to a single printing type; where max{} indicates obtaining the maximum value among several real numbers;

[0070] It should be noted that the abnormal value of the printing type itself is used to calculate and digitally represent the abnormal state of the printing type corresponding to the different printing types of the printing subject from its own dimension; it realizes the expanded utilization of the processing results of the previous different single printing supervision data;

[0071] like Figure 3 As shown, the self-printing type abnormal values ​​calculated by different printing types are respectively analyzed with the printing type abnormal standard value; the printing type abnormal standard value is the median value of all self-printing type abnormal values ​​obtained by processing all the same printing types;

[0072] If the abnormal value of the printing type itself is greater than or equal to the abnormal standard value of the printing type, the printing type to which it belongs is associated with the first type of severe abnormal label;

[0073] Otherwise, the printing type is associated with the first type of mild abnormality label;

[0074] Sorting and combining all the printing type abnormality values ​​of the printing body obtained by processing different printing types and their corresponding labels to obtain a first printing abnormality processing sequence;

[0075] In the embodiment of the present invention, by performing extended calculation and combining the processing results of all single printing supervision data corresponding to different printing types of the printing subject, the first printing exception processing sequence corresponding to all printing types of different printing subjects is obtained, which can not only realize the processing and analysis of the type printing exception impact of a single printing type of different printing subjects corresponding to their own dimensions, but also provide reliable data support for subsequent dynamic recommendation prompts of printing process quality in different aspects;

[0076] And, when analyzing the impact of type printing abnormality of a single printing type in the external dimension of the printing subject according to the local printing type supervision processing sequence, the total number of single printing abnormal sheets NLY and the total number of type printing sheets NLZ obtained by the corresponding processing of the single printing type of the printing subject are calculated by the formula Calculate and obtain the external printing type abnormality value EYL corresponding to a single printing type of the printing body; where A is the overall abnormality value of the printing type, which can be obtained by calculating the ratio of the total number of all printing abnormalities corresponding to the printing type to the total number of printings of the type; [*] is a rounding function, which means obtaining the maximum integer that does not exceed the real number *;

[0077] It should be noted that the external printing type abnormal value is used to perform data calculation and digital representation of the printing type abnormal state corresponding to different printing types of the printing body from an external dimension;

[0078] like Figure 4 As shown, data analysis is performed on the external printing type abnormal value. If the external printing type abnormal value is 0, the corresponding printing type is associated with the second type of mild abnormal label;

[0079] If the external printing type abnormal value is not 0, the corresponding printing type is associated with the second type of severe abnormal label;

[0080] Sorting and combining all external printing type abnormal values ​​and their corresponding labels obtained by processing the printing body in accordance with different printing types, to obtain a second printing abnormality processing sequence;

[0081] The first printing exception processing sequence and the second printing exception processing sequence obtained by corresponding processing of different printing subjects are sorted and combined to obtain a subject type exception supervision processing data set and upload it to the printing process supervision platform;

[0082] Compared with the existing printing process quality supervision scheme, which only performs data processing and analysis from a single aspect, the reliability and comprehensiveness of printing process quality supervision are poor. In the embodiment of the present invention, by expanding the utilization of the single printing supervision data processing results obtained in the early stage, the data of abnormal printing types of different printing subjects in different dimensions are calculated and digitally represented and combined, thereby realizing multi-dimensional supervision processing and analysis of different printing types of different printing subjects, and improving the multi-dimensional supervision processing and analysis effect of printing process quality of different printing subjects.

[0083] The multi-dimensional evaluation management module of printing process quality is used to perform multi-dimensional processing and analysis on the printing process quality of different printing types according to the abnormal supervision processing data set of the subject types corresponding to different printing subjects in the target area, and adaptively perform dynamic recommendation and prompt management on the printing process quality of different printing types and the printing process quality of different printing subjects according to the analysis results; the specific steps include:

[0084] When the printing process quality of different printing types is processed and analyzed in the local printing type dimension according to the subject type abnormal supervision processing set corresponding to different printing subjects in the target area;

[0085] Obtain and analyze type abnormal supervision processing data corresponding to different printing entities based on the same printing type;

[0086] If the type abnormality supervision processing data includes a first type mild abnormality label and a second type mild abnormality label, the printing type of the corresponding printing subject is marked as an excellent printing type;

[0087] If the type abnormality supervision processing data includes a first type severe abnormality label or a second type severe abnormality label, the printing type of the corresponding printing body is marked as a regular printing type;

[0088] If the type abnormality supervision processing data includes a first type severe abnormality label and a second type severe abnormality label, the printing type of the corresponding printing subject is marked as an abnormal printing type;

[0089] And, all excellent printing types and their corresponding printing bodies, all conventional printing types and their corresponding printing bodies, and all abnormal printing types and their corresponding printing bodies are sorted and combined respectively to obtain corresponding printing type status analysis data;

[0090] It should be noted that by processing and analyzing the printing process quality of different printing types in the local printing type dimension through the abnormal supervision processing set of the subject types of different printing subjects in the early stage, the data supervision processing effect and the shared recommendation prompt effect of the local printing type dimension are improved.

[0091] When the printing process quality of different printing subjects is processed and analyzed in the overall printing type dimension according to the subject type abnormal supervision processing set corresponding to different printing subjects in the target area;

[0092] Obtain the type anomaly supervision and processing data corresponding to all printing types of the printing subject and traverse and analyze them. If all the printing types corresponding to the traversal obtain the first type of mild anomaly labels, then mark the corresponding printing subject as an excellent printing subject;

[0093] If all the printing types corresponding to the traversal obtain the second type of slightly abnormal labels, then the corresponding printing body is marked as an abnormal printing body;

[0094] If all the printing types corresponding to the traversal have the first type of slightly abnormal labels and the second type of slightly abnormal labels, then the corresponding printing body is marked as a regular printing body;

[0095] When a user inputs a request for a printing type through the printing process supervision platform, all excellent printing types that are the same as the requested printing type and the printing entities to which all the same excellent printing types belong will be recommended to the user as excellent printing types and excellent printing entities respectively; this realizes multi-dimensional shared recommendation prompts for different aspects of printing process quality, breaks down the information barriers between different printing entities and different printing types, and improves the overall supervision prompt effect of different dimensions of printing process quality.

[0096] Different from the existing technical solutions, the user cannot obtain all the same printing types with excellent printing process quality in the target area and all the printing subjects with excellent printing process quality for the requested printing type, and the multi-dimensional supervision and processing sharing effect of the printing process quality is poor; in the embodiment of the present invention, the printing process quality of different printing types is multi-dimensionally processed and analyzed according to the subject type abnormal supervision processing data set corresponding to different printing subjects in the target area, and the printing process quality of different printing types and the printing process quality of different printing subjects are adaptively managed dynamically based on the analysis results, thereby realizing diversified and autonomous recommendations for the printing process quality of different printing subjects and different printing types, and improving the autonomous multi-dimensional dynamic sharing recommendation and prompt effect of the printing process quality of different printing subjects.

[0097] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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 printing process quality monitoring and management system, characterized in that: include: The multi-dimensional supervision and processing module of printing process quality is used to carry out multi-dimensional supervision and data processing combination of historical printing data corresponding to different printing subjects in the target area, obtain the main printing type supervision and processing sequence set corresponding to different printing subjects and upload it to the printing process supervision platform; The printing process quality multi-dimensional analysis and processing module is used to process and analyze the abnormal printing status of different printing subjects corresponding to different printing types from different dimensions according to the main printing type supervision and processing sequence set, and sort and combine the analysis results of different dimensions to obtain the main type abnormal supervision and processing data set and upload it to the printing process supervision platform; The multi-dimensional evaluation management module of printing process quality is used to perform multi-dimensional processing and analysis on the printing process quality of different printing types according to the abnormal supervision processing data set of the subject types corresponding to different printing subjects in the target area, and adaptively perform dynamic recommendation and prompt management on the printing process quality of different printing types and the printing process quality of different printing subjects according to the analysis results; Among them, the printing process quality of different printing types is processed and analyzed in the local printing type dimension according to the abnormal supervision processing set of the subject type corresponding to different printing subjects in the target area; According to the same printing type, the type abnormality supervision processing data corresponding to different printing entities are obtained and analyzed to obtain the excellent printing type, the regular printing type or the abnormal printing type; All excellent printing types and their corresponding printing bodies, all conventional printing types and their corresponding printing bodies, and all abnormal printing types and their corresponding printing bodies are sorted and combined respectively to obtain corresponding printing type status analysis data; When the printing process quality of different printing subjects is processed and analyzed in the overall printing type dimension according to the subject type abnormal supervision processing set corresponding to different printing subjects in the target area; The type anomaly supervision and processing data of the printing subject corresponding to all printing types is obtained and traversed and analyzed to obtain an excellent printing subject, an abnormal printing subject or a regular printing subject.

2. A printing process quality monitoring and management system according to claim 1, characterized in that: Obtain all printed entities in the target area and mark them by number; And, sequentially acquiring historical printing data corresponding to different printing subjects, and monitoring and processing each printing quality status of different printing subjects corresponding to different printing types according to the historical printing data; Obtain all single printing supervision data corresponding to different printing types in the historical printing data, and process and analyze all single printing supervision data corresponding to different printing types to obtain the total number of printed sheets in the single printing supervision data, and the total number of abnormal type sheets corresponding to different printing types; When traversing, analyzing and classifying the total number of abnormal types of sheets corresponding to different printing types in the single printing supervision data; If the total number of abnormal types corresponding to different printing types is 0, a normal label for overall printing is generated, and the corresponding single printing data is associated with a single printing abnormality mark with a value of 0.

3. A printing process quality monitoring and management system according to claim 2, characterized in that: If the total number of abnormal types corresponding to different printing types is not 0, a printing local abnormality label is generated, and the total number of printing types with a non-zero value is calculated through the formula Calculate and obtain the single printing abnormality mark DY corresponding to the single printing data; where k is the different abnormality types that appear, k=1, 2, 3, ..., n; n is a positive integer; NZ and NYk are the total number of printed sheets and the total number of sheets of different abnormal types in the single printing supervision data respectively; LYk is the abnormality influence coefficient corresponding to different abnormality types; Sort and combine the single printing abnormality marks obtained by processing all single printing data corresponding to a single printing type of the printing subject to obtain a local printing type supervision processing sequence; The local printing type supervision processing sequences corresponding to all printing types of the printing subject are sorted and combined to obtain a main body printing type supervision processing sequence set.

4. A printing process quality monitoring and management system according to claim 3, characterized in that: When processing and analyzing the type printing status of different printing subjects corresponding to different printing types according to the main printing type supervision processing sequence set; Obtain the local printing type supervision processing sequence corresponding to a single same printing type of different printing subjects in turn, and perform type printing abnormality impact analysis on the printing subject in its own dimension according to the local printing type supervision processing sequence. Traverse the local printing type supervision processing sequence of the single printing type of the printing subject, and count the total number of single printing abnormalities NLY and the total number of type printings NLZ with non-zero values, and use the formula to calculate the statistical data. The printing type abnormality value YYL of the printing body corresponding to a single printing type is calculated and obtained; wherein max{} indicates obtaining the maximum value among several real numbers.

5. A printing process quality monitoring and management system according to claim 4, characterized in that: The abnormal values ​​of the printing types obtained by calculating different printing types are respectively analyzed with the abnormal standard values ​​of the printing types; If the abnormal value of the printing type itself is greater than or equal to the abnormal standard value of the printing type, the printing type to which it belongs is associated with the first type of severe abnormal label; Otherwise, the printing type is associated with the first type of mild abnormality label; All the printing type abnormality values ​​of the printing body obtained by processing different printing types and their corresponding labels are sorted and combined to obtain a first printing abnormality processing sequence.

6. A printing process quality monitoring and management system according to claim 5, characterized in that: When analyzing the impact of type printing abnormality on the external dimension of a single printing type of a printing subject according to the local printing type supervision processing sequence, the total number of single printing abnormalities NLY and the total number of type printing sheets NLZ obtained by the corresponding processing of the single printing type of the printing subject are calculated by the formula Calculate and obtain the external printing type abnormal value EYL corresponding to a single printing type of the printing body; where A is the overall abnormal value of the printing type; [*] is a rounding function, indicating obtaining the maximum integer not exceeding the real number *.

7. A printing process quality monitoring and management system according to claim 6, characterized in that: Perform data analysis on the external printing type abnormal value. If the external printing type abnormal value is 0, the corresponding printing type is associated with the second type of mild abnormal label; If the external printing type abnormal value is not 0, the corresponding printing type is associated with the second type of severe abnormal label; Sorting and combining all external printing type abnormal values ​​and their corresponding labels obtained by processing the printing body in accordance with different printing types, to obtain a second printing abnormality processing sequence; The first printing exception processing sequence and the second printing exception processing sequence obtained by corresponding processing of different printing subjects are sorted and combined to obtain a subject type exception supervision processing data set and upload it to the printing process supervision platform.

8. A printing process quality monitoring and management system according to claim 1, characterized in that: If the type abnormality supervision processing data includes a first type mild abnormality label and a second type mild abnormality label, the printing type of the corresponding printing subject is marked as an excellent printing type; If the type abnormality supervision processing data includes a first type severe abnormality label or a second type severe abnormality label, the printing type of the corresponding printing body is marked as a regular printing type; If the type anomaly supervision processing data includes a first type severe anomaly label and a second type severe anomaly label, the printing type of the corresponding printing body is marked as an abnormal printing type.

9. A printing process quality monitoring and management system according to claim 8, characterized in that: Obtain the type anomaly supervision and processing data corresponding to all printing types of the printing subject and traverse and analyze them. If all the printing types corresponding to the traversal obtain the first type of mild anomaly labels, then mark the corresponding printing subject as an excellent printing subject; If all the printing types corresponding to the traversal obtain the second type of slightly abnormal labels, then the corresponding printing body is marked as an abnormal printing body; If all the printing types corresponding to the traversal have the first type of slightly abnormal labels and the second type of slightly abnormal labels, the corresponding printing body is marked as a regular printing body.

10. A printing process quality monitoring and management system according to claim 1, characterized in that: When the user inputs the requested printing type through the printing process supervision platform, all excellent printing types that are the same as the requested printing type and the printing entities to which all the same excellent printing types belong will be recommended to the user as excellent printing types and excellent printing entities.

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