Analysis method and system for printing performance of instant billing

Abstract

The invention discloses an analysis method and system for the printing performance of an instant billing ticket, and relates to the technical field of data processing.The analysis method for the printing performance of the instant billing ticket comprises the following steps that a performance analysis center receives a printing performance analysis request sent by a request end, and target analysis data is determined according to the printing performance analysis request; constructing a printing performance acquisition strategy according to the target analysis data, and sending the printing performance acquisition strategy to a data acquisition system; and receiving to-be-analyzed data obtained by executing the printing performance acquisition strategy by the data acquisition system, analyzing the corresponding to-be-analyzed data through standard discrimination data in the printing performance acquisition strategy, generating a performance analysis result, and sending the performance analysis result to the request end. According to the method and the device, different influence factors of different printing schemes and different face products can be quickly and automatically analyzed, so that corresponding analysis results are obtained, the analysis speed is high, and the analysis accuracy is high.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for analyzing instant invoice printing performance. Background Art

[0002] There are many types of ticket products. In recent years, the demand for double-sided four-color printed ticket products (such as instant tickets) has increased, and the requirements for the printing performance of double-sided four-color printed ticket products have also become higher and higher.

[0003] Double-sided four-color printing means printing a four-color pattern on the front of the paper. After the four-color pattern is printed, the paper is turned over so that the back of the paper faces up, and then the primer ink, scratch-off ink and four-color ink are printed in the same way as the conventional process, that is, four-color ink is applied to both sides of the paper. Conventional scratch tickets use black ink to print the game instructions on the back of the paper, and primer ink, scratch-off ink and four-color ink are printed on the front of the paper. Since double-sided four-color printing has four-color ink on both the front and back of the paper, and the thickness of the scratch-off area is relatively thick, it is easy to cause the ink coating of the scratch-off area to stick to the four-color pattern on the front of the paper after printing and rewinding.

[0004] There are many reasons for the reverse sticking of double-sided four-color printed ticket products, the main reasons are as follows: 1. Poor ink drying. If the ink dries too slowly, the ink on the first side will not be completely dried and solidified during double-sided printing, and it will easily stick to the second side after contact. For example, in an environment with high humidity, the solvent in the ink evaporates slowly, which will affect the drying effect.

[0005] 2. Excessive printing pressure. Excessive printing pressure will make the papers stick together more closely, increasing the possibility of ink contact between the two sides. In addition, excessive pressure may squeeze the ink, making it more likely to stick.

[0006] 3. Paper characteristics. Poor paper absorption will cause the ink to not be well absorbed by the paper, and remain on the surface of the paper, increasing the risk of reverse sticking. For example, if the coating quality of some papers with coated surfaces is not good, it is not conducive to the absorption and drying of ink, thus causing reverse sticking.

[0007] 4. The characteristics of the ink itself. Some inks are very sticky and are prone to back-sticking. For example, some specially formulated inks may not fully consider the process requirements of double-sided printing in their design.

[0008] Existing printing performance analysis methods and systems can usually only collect and analyze one of the different influencing factors of double-sided four-color printed ticket products, and the analysis process often requires the participation of professionals. There are problems such as the inability to automatically analyze the collected data of different collection items of different printing schemes and different ticket products (i.e., different influencing factors) at the same time, the slow analysis speed, and the low accuracy of the analysis results. It is impossible to accurately and timely determine one or more reasons for the anti-sticking of double-sided four-color printed ticket products, and it is impossible to optimize and process the corresponding influencing factors in a timely manner.

[0009] Therefore, there is an urgent need to provide a new analysis method and system for instant invoice printing performance to solve the above problems. Summary of the invention

[0010] The purpose of this application is to provide a method and system for analyzing the printing performance of instant invoices, which can quickly and automatically analyze different influencing factors (i.e., the collected data of the collected items) of different printing schemes and different ticket products, so as to obtain corresponding analysis results, and the analysis speed is fast and the analysis accuracy is high.

[0011] To achieve the above-mentioned purpose, the present application provides an analysis method for the printing performance of instant invoices, comprising the following steps: S1: The performance analysis center receives a printing performance analysis request sent by a requesting end, and determines target analysis data according to the printing performance analysis request; wherein the printing performance analysis request at least includes: request ID, request time and information of an object to be analyzed; the target analysis data includes: multiple items to be analyzed, and standard data corresponding to each item to be analyzed, and the standard data at least includes: device execution parameters and discrimination data; S2: The performance analysis center constructs a printing performance collection strategy according to the target analysis data, and sends the printing performance collection strategy to a data collection system, wherein the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard discrimination data and a collection execution device, and a collection execution device corresponds to a collection configuration data; S3: The performance analysis center receives the data to be analyzed obtained by the data collection system executing the printing performance collection strategy, and analyzes the corresponding data to be analyzed through the standard discrimination data in the printing performance collection strategy, generates a performance analysis result, and sends the performance analysis result to the requesting end, wherein the performance analysis result includes: multiple sub-results, one sub-result corresponds to one collection item, and the sub-result is qualified or unqualified.

[0012] As above, the sub-steps of determining the target analysis data according to the printing performance analysis request are as follows: S11: extracting features from the object information to be analyzed in the printing performance analysis request to obtain the current category feature set; S12: using the current category feature set to analyze the template category feature set of each template data packet in the template database to obtain the category association value, and taking the template data packet corresponding to the maximum value of all category association values ​​as the target template data packet; S13: extracting features from the object information to be analyzed in the printing performance analysis request to obtain the current printing feature set; S14: using the current printing feature set to analyze the template category feature set in the target template data packet The template printing feature set of each template task table is analyzed to obtain the printing correlation value, and the template task table corresponding to the maximum value of all printing correlation values ​​is used as the target template task table, and the target template task table is sent to the requesting end; S15: Receive the filled-in task table sent by the requesting end after completing the filling of the target template task table, and use the selected template analysis items and / or customized analysis items in the filled-in task table as items to be analyzed, use the required data filled in the to-be-filled area corresponding to the selected template analysis items and / or customized analysis items as standard data, and use multiple items to be analyzed and the standard data corresponding to each item to be analyzed as target analysis data.

[0013] As above, the sub-steps of constructing a printing performance collection strategy based on the target analysis data are as follows: S21: taking each item to be analyzed in the target analysis data as a collection item; S22: taking the discrimination data in the standard data corresponding to each item to be analyzed as the standard discrimination data of the corresponding collection item; S23: determining the collection execution device for each collection item; S24: taking the device execution parameters in the standard data corresponding to each item to be analyzed as the collection configuration data of the corresponding collection execution device; S25: constructing a printing performance collection strategy based on the collection items, standard discrimination data, collection execution device and collection configuration data.

[0014] As above, wherein the corresponding data to be analyzed is analyzed by the standard discrimination data in the printing performance collection strategy, and the sub-steps for generating the performance analysis result are as follows: S31: classify the analysis category of the data to be analyzed, and obtain multiple data packets to be analyzed, each data packet to be analyzed includes: multiple data to be analyzed; one data packet to be analyzed corresponds to one analysis category, and the analysis categories include at least: material performance category, printing quality category, printing equipment category, production efficiency category and environmental factor category; S32: analyze each data to be analyzed in the corresponding data packet to be analyzed by the standard discrimination data in the printing performance collection strategy, obtain the difference value between the data to be analyzed and the standard discrimination data, judge the difference value by the corresponding preset difference threshold, and generate a sub-result; if the difference value is less than the corresponding preset difference threshold, the generated sub-result is qualified; if the difference value is greater than or equal to the corresponding preset difference threshold, the generated sub-result is unqualified; S33: all sub-results constitute the performance analysis result.

[0015] As mentioned above, the data to be analyzed in the data package to be analyzed of the material properties category at least includes: paper properties data and ink properties data.

[0016] As mentioned above, the data to be analyzed in the data packet to be analyzed of the printing quality category at least includes: color accuracy data, registration accuracy data, and resolution and clarity data.

[0017] As above, the calculation formula of the difference value between the color accuracy data and the corresponding standard discrimination data is: ; in, is the difference between the color accuracy data and the standard discrimination data; is the Lab value of the standard discriminant data; The Lab value of the color accuracy data; is the color bias weight; is the gray balance bias weight; It is the gray balance deviation between the color accuracy data and the standard discrimination data.

[0018] As mentioned above, the data to be analyzed in the data packet to be analyzed of the printing equipment category at least includes: printing speed data, printing pressure data, and drying temperature and time data.

[0019] As mentioned above, the data to be analyzed in the data package to be analyzed of the production efficiency category includes at least: scrap rate data, equipment utilization rate data and production cycle data.

[0020] The present application also provides an analysis system for instant invoice printing performance, including: at least one request end, a data acquisition system and a performance analysis center; wherein the request end: is used to send a printing performance analysis request; receives a performance analysis result; the data acquisition system: is used to receive and execute a printing performance acquisition strategy, collect data to be analyzed and send it; the performance analysis center at least includes: a first analysis unit, a strategy building unit, a second analysis unit and a storage unit; wherein the first analysis unit: is used to receive a printing performance analysis request, determine target analysis data according to the printing performance analysis request, and send the target analysis data to the strategy building unit; wherein the printing performance analysis request at least includes: a request ID, a request time and information about an object to be analyzed; the target analysis data includes: a plurality of items to be analyzed, and standard data corresponding to each item to be analyzed , the standard data at least includes: equipment execution parameters and discrimination data; a strategy construction unit: used to construct a printing performance collection strategy according to the target analysis data, and send the printing performance collection strategy to the data collection system; wherein the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard discrimination data and a collection execution device, and a collection execution device corresponds to a collection configuration data; a second analysis unit: used to receive the data to be analyzed, and analyze the corresponding data to be analyzed through the standard discrimination data in the printing performance collection strategy, generate a performance analysis result, and send the performance analysis result to the request end; wherein the performance analysis result includes: multiple sub-results, one sub-result corresponds to one collection item, and the sub-result is qualified or unqualified; a storage unit: used to store the template database and the collection device information library.

[0021] The beneficial effects achieved by this application are as follows: (1) The analysis method and system for instant invoice printing performance of the present application do not require the participation of professionals and can automatically analyze different influencing factors (i.e., the collected data of the collected items) of different printing schemes and different ticket products to obtain corresponding analysis results, and the analysis speed is fast.

[0022] (2) The analysis method and system for instant invoice printing performance of the present application can accurately analyze one or more factors in the printing performance of double-sided four-color printed ticket products (e.g., instant invoices), so as to facilitate timely optimization of the content of collection items with unqualified sub-results, thereby improving the corresponding printing performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0024] Figure 1 A schematic diagram of the structure of an embodiment of an analysis system for instant ticket printing performance; Figure 2 A flow chart of an embodiment of a method for analyzing instant ticket printing performance. DETAILED DESCRIPTION

[0025] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0026] like Figure 1 As shown, the present application provides an analysis system for instant invoice printing performance, including: at least one request end 1, a data collection system 2 and a performance analysis center 3.

[0027] Among them, the request end 1 is used to send a printing performance analysis request and receive a performance analysis result.

[0028] Data collection system 2: used to receive and execute printing performance collection strategies, collect data to be analyzed and send them.

[0029] Performance Analysis Center 3: used to execute the following analysis method for instant ticket printing performance.

[0030] Furthermore, the performance analysis center 3 at least includes: a first analysis unit, a strategy building unit, a second analysis unit and a storage unit.

[0031] Wherein, the first analysis unit is used to receive a printing performance analysis request sent by a requesting end, determine target analysis data according to the printing performance analysis request, and send the target analysis data to the strategy building unit.

[0032] Strategy building unit: used to build a printing performance collection strategy according to the target analysis data, and send the printing performance collection strategy to the data collection system 2.

[0033] The second analysis unit is used to receive the data to be analyzed, analyze the corresponding data to be analyzed by using the standard discrimination data in the printing performance acquisition strategy, generate a performance analysis result, and send the performance analysis result to the requesting end 1.

[0034] Storage unit: used to store template database and acquisition device information library.

[0035] Among them, the template database includes: multiple template data packets, one template data packet corresponds to a template category feature set, each template data packet includes: multiple template task tables, one template task table corresponds to a template printing feature set, each template task table includes at least: a push area and a custom area, wherein the push area includes: multiple template analysis items, one template analysis item corresponds to a group of selection units, a to-be-filled area and a preset rule.

[0036] Specifically, the template category feature set is a set of features that can clearly and accurately express the category of the ticket. Different template data packages have different template category feature sets.

[0037] The template category feature set is obtained by performing feature extraction on the actual ticket category data or the newly set ticket category data through the pre-trained model.

[0038] The template printing feature set is a set of features that can clearly and accurately express the specific printing scheme of the ticket of this type. Different template task tables have different template printing feature sets.

[0039] The template printing feature set is obtained by performing feature extraction on the actual printing plan data or the newly set printing plan data through the pre-trained model.

[0040] The template analysis items and the preset rules for each template analysis item are determined based on actual analysis experience and actual analysis content. The preset rules are used to guide the requesting end 1 to correctly fill in or upload the required data required for the template analysis item. The required data is the standard that the template analysis item needs to meet.

[0041] The custom area is an area in the template task table for filling in the analysis items customized by the requester 1.

[0042] A group of selection units includes: check or uncheck. If checked, it means that the template analysis items corresponding to the group of selection units need to be analyzed; if unchecked, it means that the template analysis items corresponding to the group of selection units do not need to be analyzed.

[0043] The collection device information library includes: multiple collection device information, one collection device information corresponds to one collection item, and each collection device information includes: multiple collection devices, one collection device corresponds to one device code.

[0044] Specifically, different collection devices have different device codes and different collection items of information.

[0045] Furthermore, when the preset update time is reached, or a new template data package and / or a new template task list appears, the template database is updated in a timely manner.

[0046] like Figure 2 As shown, the present application provides a method for analyzing instant invoice printing performance, comprising the following steps: S1: The performance analysis center receives a printing performance analysis request sent by a requesting end, and determines target analysis data according to the printing performance analysis request; wherein the printing performance analysis request includes at least: a request ID, a request time, and information about an object to be analyzed; the target analysis data includes: a plurality of items to be analyzed, and standard data corresponding to each item to be analyzed, and the standard data includes at least: equipment execution parameters and discrimination data.

[0047] Specifically, the request ID is the ID of the requesting end that sends the printing performance analysis request.

[0048] The request time is the time when the requesting end sends the printing performance analysis request.

[0049] The object information to be analyzed is information used to clearly and accurately describe the category of the ticket to be analyzed (for example, instant tickets, but not limited to instant tickets) and the specific printing plan. The printing plan at least includes: printing materials and printing process.

[0050] Further, the sub-steps of determining the target analysis data according to the printing performance analysis request are as follows: S11: extracting features of the object information to be analyzed in the printing performance analysis request to obtain a current category feature set.

[0051] Specifically, feature extraction is performed on the information of the object to be analyzed through a pre-trained first feature extraction model to obtain a plurality of current category features, and the plurality of current category features constitute a current category feature set.

[0052] Among them, the current category feature is the key feature that can clearly and accurately express the category of the ticket.

[0053] S12: Analyze the template category feature set of each template data packet in the template database using the current category feature set to obtain a category association value, and use the template data packet corresponding to the maximum value among all category association values ​​as the target template data packet.

[0054] Specifically, the template category feature set of each template data packet in the template database can be analyzed using the current category feature set through a pre-trained neural network or analysis model to obtain a category association value. The larger the category association value, the higher the attribution.

[0055] S13: Extract features of the object information to be analyzed in the printing performance analysis request to obtain a current printing feature set.

[0056] Specifically, feature extraction is performed on the information of the object to be analyzed through a pre-trained second feature extraction model to obtain a plurality of current printing features, and the plurality of current printing features constitute a current printing feature set.

[0057] Among them, the current printing features are the key features that can clearly and accurately express the specific printing solution for this type of ticket.

[0058] S14: Analyze the template printing feature set of each template task table in the target template data packet using the current printing feature set to obtain the printing association value, and use the template task table corresponding to the maximum value of all printing association values ​​as the target template task table, and send the target template task table to the requesting end.

[0059] Specifically, the pre-trained neural network or analysis model can be used to analyze the template printing feature set of each template task table in the target template data packet using the current printing feature set to obtain the printing correlation value. The larger the printing correlation value, the higher the correlation.

[0060] S15: The receiving end sends a filling task table after completing the filling of the target template task table, and uses the selected template analysis items and / or customized analysis items in the filling task table as items to be analyzed, uses the demand data filled in the to-be-filled area corresponding to the selected template analysis items and / or customized analysis items as standard data, and uses multiple items to be analyzed and the standard data corresponding to each item to be analyzed as target analysis data.

[0061] Specifically, the requesting end selects the template analysis item in the target template task table. If the template analysis item needs to be analyzed, the selection unit corresponding to the template analysis item is checked, and the template analysis item is used as the item to be analyzed. According to the preset rules corresponding to the template analysis item, the required data is uploaded or filled in the corresponding area to be filled in, wherein the required data at least includes: equipment execution parameters and discrimination data. If the template analysis item does not need to be analyzed, the selection unit corresponding to the template analysis item is unchecked, and the template analysis item is eliminated.

[0062] If there are analysis items that need to be customized, fill in the items to be analyzed in the customization area and upload or fill in the corresponding required data.

[0063] If there are no analysis items that need to be customized, there is no need to fill in the items to be analyzed in the customization area, and there is no need to upload or fill in the corresponding requirement data.

[0064] The standard data at least includes: equipment execution parameters and identification data.

[0065] Specifically, the collection and execution device sets its own operating parameters according to the device execution parameters. After the setting is completed, data is collected on the object to be analyzed (ie, various influencing factors of the ticket to be analyzed), and the collected data is used as the data to be analyzed.

[0066] The discriminant data is standard data used to analyze the data to be analyzed. The discriminant data can be data in different forms such as text data, numerical data, image data, video data and / or audio data.

[0067] S2: The performance analysis center constructs a printing performance collection strategy based on the target analysis data, and sends the printing performance collection strategy to the data collection system, wherein the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard judgment data and a collection execution device, and a collection execution device corresponds to a collection configuration data.

[0068] Furthermore, the sub-steps of constructing a printing performance acquisition strategy based on the target analysis data are as follows: S21: Each item to be analyzed in the target analysis data is taken as a collection item.

[0069] S22: Using the discriminant data in the standard data corresponding to each item to be analyzed as the standard discriminant data of the corresponding collection item.

[0070] S23: Determine the collection execution device for each collection item.

[0071] Furthermore, the sub-steps of determining the collection execution device for each collection item are as follows: S231: Generate a task number for each collection item in a random order, and the task number increases in sequence, and execute S232.

[0072] Specifically, the task number of the collection item that is the first in the random order is 1, the task number of the collection item that is the second in the random order is 2, ..., and the task number of the collection item that is the Nth in the random order is N.

[0073] S232: Take the collection item with the smallest task number as the current collection item, traverse the collection device information library according to the current collection item, determine the collection device information that is consistent with the current collection item as the target collection device information, and execute S233.

[0074] S233: Obtain the current execution efficiency of each acquisition device in the target acquisition device information, and use the acquisition device corresponding to the maximum value of all current execution efficiencies as the acquisition execution device, and execute S234.

[0075] Furthermore, the expression of the current execution efficiency is as follows: ; in, Collect device information for the target The current execution efficiency of each acquisition device; For the The number of acquisition devices that can be completed in a unit of time The maximum value of the total number of collection tasks for this collection item; For the The number of collection devices waiting to be processed at the current time node The actual total number of collection tasks for the collection item; For the A collection device completes a The weight of the collection task of the collection item; , For the The total number of types of collection items that can be performed by a collection device; ; The total number of collection devices in the target collection device information.

[0076] Specifically, a collection device can perform collection tasks of one or more collection items. Take the first A collection device completes a The average duration of the collection task of the collection item is used as the weight, regardless of the unit. The longer the average duration, the greater the weight.

[0077] S234: The task number of the current collection item is judged by the total number of task numbers. If the total number of task numbers is less than the task number of the current collection item, the task number of the current collection item is eliminated and S232 is executed; if the total number of task numbers is equal to the task number of the current collection item, the task number of the current collection item is eliminated and S24 is executed.

[0078] S24: Using the device execution parameters in the standard data corresponding to each item to be analyzed as the collection configuration data of the corresponding collection execution device.

[0079] S25: Constructing a printing performance collection strategy according to the collection items, standard judgment data, collection execution equipment and collection configuration data.

[0080] Specifically, the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard judgment data and a collection execution device, and a collection execution device corresponds to a collection configuration data.

[0081] S3: The performance analysis center receives the data to be analyzed obtained by the data acquisition system executing the printing performance acquisition strategy, and analyzes the corresponding data to be analyzed through the standard discrimination data in the printing performance acquisition strategy, generates a performance analysis result, and sends the performance analysis result to the requesting end, wherein the performance analysis result includes: multiple sub-results, one sub-result corresponds to one acquisition item, and the sub-result is qualified or unqualified.

[0082] Furthermore, the corresponding data to be analyzed is analyzed by using the standard discrimination data in the printing performance acquisition strategy, and the sub-steps of generating the performance analysis results are as follows: S31: Classify the analysis categories of the data to be analyzed to obtain multiple data packets to be analyzed, each of which includes: multiple data to be analyzed; one data packet to be analyzed corresponds to one analysis category, and the analysis categories include at least: material performance category, printing quality category, printing equipment category, production efficiency category and environmental factor category.

[0083] Further, the sub-steps of classifying the analysis categories of the data to be analyzed and obtaining multiple data packets to be analyzed are as follows: S311: Generate an analysis sequence number for each data to be analyzed according to the order in which the data to be analyzed are received, and the analysis sequence numbers are incremented in sequence, and then execute S312.

[0084] Specifically, the analysis sequence number of the data to be analyzed that is received first is 1, the analysis sequence number of the data to be analyzed that is received second is 2, ..., the analysis sequence number of the data to be analyzed that is received Mth is M.

[0085] S312: The data to be analyzed with the smallest analysis sequence number is used as the current data to be analyzed, and the analysis category of the current data to be analyzed is classified to obtain the current analysis category, and then S313 is executed.

[0086] Specifically, the analysis category of the current data to be analyzed can be classified by a pre-trained classification model to obtain the current analysis category.

[0087] S313: Traverse the initial data packets according to the current analysis category. If there is no initial data packet named in accordance with the current analysis category, rebuild an initial data packet, name the initial data packet according to the current analysis category, and after the naming is completed, place the current data to be analyzed in the initial data packet, and execute S314; if there is an initial data packet named in accordance with the current analysis category, place the current data to be analyzed in the initial data packet named in accordance with the current analysis category, and execute S314.

[0088] S314: The analysis number of the current data to be analyzed is judged by the total number of analysis numbers. If the total number of analysis numbers is less than the analysis number of the current data to be analyzed, the analysis number of the current data to be analyzed is eliminated and S312 is executed; if the total number of analysis numbers is equal to the analysis number of the current data to be analyzed, the analysis number of the current data to be analyzed is eliminated, and each initial data packet is used as a data packet to be analyzed, and S32 is executed.

[0089] S32: Analyze each data to be analyzed in the corresponding data package to be analyzed by using the standard discrimination data in the printing performance acquisition strategy, obtain the difference value between the data to be analyzed and the standard discrimination data, judge the difference value by using the corresponding preset difference threshold, and generate a sub-result; if the difference value is less than the corresponding preset difference threshold, the generated sub-result is qualified; if the difference value is greater than or equal to the corresponding preset difference threshold, the generated sub-result is unqualified.

[0090] Specifically, the specific value of the preset difference threshold is set according to the actual situation, and the difference thresholds corresponding to the data to be analyzed of different printing schemes and different collection items are different. One data to be analyzed corresponds to one difference value.

[0091] Furthermore, the data to be analyzed in the data package to be analyzed of material properties category at least includes: paper property data and ink property data.

[0092] Paper performance data includes indicators such as paper quantity, thickness, tightness, smoothness, glossiness and ink absorption. By analyzing paper performance data, we can understand the absorption and drying characteristics of paper to ink, and thus evaluate the compatibility of paper with printing process. If the incompatibility is greater than or equal to the preset difference threshold, the generated sub-result is unqualified; if the incompatibility is less than the preset difference threshold, the generated sub-result is qualified.

[0093] The ink performance data includes the color characteristics, viscosity, drying speed, glossiness and abrasion resistance of the ink. By analyzing the ink performance data, it can be ensured that the ink can dry quickly in double-sided printing, avoid smudges, and have bright colors. If the difference between the ink performance data and the corresponding standard discrimination data is less than the corresponding preset difference threshold, the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, the generated sub-result is unqualified.

[0094] Furthermore, the data to be analyzed in the data packet to be analyzed of the printing quality category includes at least: color accuracy data, registration accuracy data, and resolution and clarity data.

[0095] Specifically, if the difference value between the color accuracy data and the standard discrimination data is less than the corresponding preset difference threshold, it means that there is no color difference between the collected color accuracy data and the standard discrimination data (for example, original or standard color) or the color difference meets the printing requirements, and the generated sub-result is qualified; if the difference value is greater than or equal to the corresponding preset difference threshold, it means that there is a color difference between the collected color accuracy data and the standard discrimination data (for example, original or standard color), and the color difference does not meet the printing requirements, and the generated sub-result is unqualified.

[0096] Furthermore, the calculation formula of the difference value between the color accuracy data and the corresponding standard discrimination data is: ; in, is the difference between the color accuracy data and the standard discrimination data; is the Lab value of the standard discriminant data; is the Lab value of the color accuracy data; is the color bias weight; is the gray balance bias weight; It is the gray balance deviation between the color accuracy data and the standard discrimination data.

[0097] Specifically, (Right now: and ) represents brightness, with a value range of [0,100], where 0 represents black and 100 represents white. It is used to describe the brightness of a color.

[0098] (Right now: and ) indicates that from green To Red A range of colors, for example: It is a negative value, and the color is green; Positive values ​​result in a reddish color.

[0099] (Right now: and ) indicates that from blue To yellow A range of colors, for example: It is a negative value, and the color is blue; Positive values ​​result in a yellowish color.

[0100] The gray balance of color accuracy data and the gray balance of standard discrimination data can be obtained according to the prior art, so they are not described in detail herein. and The specific value is set according to the actual situation.

[0101] The difference value between the color accuracy data of the present application and the standard discrimination data takes into account both the color accuracy and the gray balance accuracy, thereby improving the accuracy of the difference value between the obtained color accuracy data and the standard discrimination data and improving the accuracy of the sub-results.

[0102] If the difference between the registration accuracy data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the registration between the front and back images and the four colors during double-sided printing is good, there is no overprint error or the overprint error meets the printing requirements, and the generated sub-result is qualified; if the difference value is greater than or equal to the corresponding preset difference threshold, it means that the registration between the front and back images and the four colors during double-sided printing is not good, there is an overprint error, and the overprint error does not meet the printing requirements, and the generated sub-result is unqualified.

[0103] If the difference between the resolution and clarity data and the standard discrimination data is less than the corresponding preset difference threshold, it means that there is no difference between the resolution of the printed product and the original design resolution or the difference meets the printing requirements, and the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, it means that there is a difference between the resolution of the printed product and the original design resolution, and the difference does not meet the printing requirements, and the generated sub-result is unqualified.

[0104] Furthermore, the data to be analyzed in the data packet to be analyzed of the printing equipment category at least includes: printing speed data, printing pressure data, and drying temperature and time data.

[0105] The printing speed data is the running speed collected by the data collection system when the printing machine is printing in double-sided four-color, in sheets / hour or meters / minute, and is used to evaluate its impact on printing quality and production efficiency. If the difference between the printing speed data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the printing speed meets the printing requirements and the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, it means that the printing speed does not meet the printing requirements and the generated sub-result is unqualified.

[0106] The printing pressure data is the pressure between the printing roller and the paper collected by the data acquisition system. If the difference between the printing pressure data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the printing pressure meets the printing requirements, can ensure uniform pressure, avoid problems such as excessive pressure causing paper deformation, excessive ink transfer, or too little pressure causing false printing, and the generated sub-result is qualified. If the difference is greater than or equal to the corresponding preset difference threshold, it means that the printing pressure does not meet the printing requirements, cannot ensure uniform pressure, cannot avoid problems such as excessive pressure causing paper deformation, excessive ink transfer, or too little pressure causing false printing, and the generated sub-result is unqualified.

[0107] For printing presses with drying devices, the drying temperature and the residence time of the paper in the drying area are collected through the data acquisition system to ensure that the ink is fully dried during the double-sided printing process to prevent the back from being stained. If the difference between the drying temperature and time data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the drying temperature and time meet the printing requirements, and the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, it means that the drying temperature and time do not meet the printing requirements, and the generated sub-result is unqualified.

[0108] Furthermore, the data to be analyzed in the data package to be analyzed of the production efficiency category includes at least: scrap rate data, equipment utilization rate data and production cycle data.

[0109] If the difference between the scrap rate data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the scrap rate calculated by the number of scraps generated collected by the data acquisition system during the double-sided four-color printing process is normal, and the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, it means that the scrap rate calculated by the number of scraps generated collected by the data acquisition system during the double-sided four-color printing process is abnormal, and the generated sub-result is unqualified. It is necessary to analyze the causes of the scrap, such as poor registration accuracy, excessive color deviation, etc., and then take corresponding measures to reduce the scrap rate.

[0110] If the difference between the equipment utilization data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the actual running time of the printing equipment collected by the data collection system meets the printing requirements, and the generated sub-result is qualified; if the difference is greater than or equal to the corresponding preset difference threshold, the actual running time of the printing equipment collected by the data collection system does not meet the printing requirements, and the generated sub-result is unqualified. Use equipment utilization data to evaluate the efficiency of equipment use, arrange production tasks reasonably, and improve equipment utilization.

[0111] The production cycle data is the total time collected by the data collection system from paper input to double-sided four-color print output, including printing, drying and cooling, and is used to optimize the production process and shorten the production cycle. If the difference between the production cycle data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the production cycle meets the printing requirements and the generated sub-result is qualified. If the difference is greater than or equal to the corresponding preset difference threshold, the production cycle does not meet the printing requirements and the generated sub-result is unqualified.

[0112] Furthermore, the data to be analyzed of environmental factors at least include: temperature and humidity data, and air quality data.

[0113] If the difference between the temperature and humidity data and the standard discrimination data is less than the corresponding preset difference threshold, it means that the temperature and relative humidity of the printing workshop are suitable, which is conducive to ink drying and paper stability, and can reduce printing quality problems caused by environmental factors. The generated sub-result is qualified. If the difference is greater than or equal to the corresponding preset difference threshold, the temperature and relative humidity of the printing workshop are not suitable, which is not conducive to ink drying and paper stability, and will cause printing quality problems due to environmental factors. The generated sub-result is unqualified.

[0114] If the difference between the air quality data (e.g., the content of pollutants such as dust and particulate matter in the workshop) and the standard discrimination data is less than the corresponding preset difference threshold, it means that the air quality meets the printing requirements and can prevent impurities from mixing into the ink or adhering to the surface of the paper, affecting the printing quality. The generated sub-result is qualified. If the difference is greater than or equal to the corresponding preset difference threshold, the air quality does not meet the printing requirements, impurities will mix into the ink or adhere to the surface of the paper, affecting the printing quality, and the generated sub-result is unqualified. Evaluate the efficiency of equipment use through equipment utilization data, arrange production tasks reasonably, and improve equipment utilization.

[0115] S33: All sub-results constitute a performance analysis result.

[0116] Specifically, after receiving the performance analysis result, the requesting end can quickly and accurately optimize the content of the collection item whose sub-result is unqualified according to the performance analysis result, thereby improving the corresponding printing performance.

[0117] The beneficial effects achieved by this application are as follows: (1) The analysis method and system for instant invoice printing performance of the present application do not require the participation of professionals and can automatically analyze different influencing factors (i.e., the collected data of the collected items) of different printing schemes and different ticket products to obtain corresponding analysis results, and the analysis speed is fast.

[0118] (2) The analysis method and system for instant invoice printing performance of the present application can accurately analyze one or more factors in the printing performance of double-sided four-color printed ticket products (e.g., instant invoices), so as to facilitate timely optimization of the content of collection items with unqualified sub-results, thereby improving the corresponding printing performance.

[0119] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic creative concepts. Therefore, the scope of protection of the present application is intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application. Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the protection scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for analyzing the performance of instant invoice printing, characterized in that: The steps include: S1: The performance analysis center receives a printing performance analysis request sent by a requesting end, and determines target analysis data according to the printing performance analysis request; wherein the printing performance analysis request at least includes: a request ID, a request time, and information about an object to be analyzed; the target analysis data includes: a plurality of items to be analyzed, and standard data corresponding to each item to be analyzed, and the standard data at least includes: equipment execution parameters and discrimination data; S2: The performance analysis center constructs a printing performance collection strategy based on the target analysis data, and sends the printing performance collection strategy to the data collection system, wherein the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard discrimination data and a collection execution device, and a collection execution device corresponds to a collection configuration data; S3: The performance analysis center receives the data to be analyzed obtained by the data acquisition system executing the printing performance acquisition strategy, and analyzes the corresponding data to be analyzed through the standard discrimination data in the printing performance acquisition strategy, generates a performance analysis result, and sends the performance analysis result to the requesting end, wherein the performance analysis result includes: multiple sub-results, one sub-result corresponds to one acquisition item, and the sub-result is qualified or unqualified.

2. The method for analyzing instant ticket printing performance according to claim 1, characterized in that: The sub-steps for determining target analysis data according to a printing performance analysis request are as follows: S11: extracting features of the object information to be analyzed in the printing performance analysis request to obtain a current category feature set; S12: Analyze the template category feature set of each template data packet in the template database using the current category feature set to obtain a category association value, and use the template data packet corresponding to the maximum value among all category association values ​​as the target template data packet; S13: extracting features of the object to be analyzed in the printing performance analysis request to obtain a current printing feature set; S14: Analyze the template printing feature set of each template task table in the target template data packet using the current printing feature set to obtain a printing association value, and use the template task table corresponding to the maximum value of all printing association values ​​as the target template task table, and send the target template task table to the requesting end; S15: The receiving end sends a filling task table after completing the filling of the target template task table, and uses the selected template analysis items and / or customized analysis items in the filling task table as items to be analyzed, uses the demand data filled in the to-be-filled area corresponding to the selected template analysis items and / or customized analysis items as standard data, and uses multiple items to be analyzed and the standard data corresponding to each item to be analyzed as target analysis data.

3. The method for analyzing instant ticket printing performance according to claim 2, characterized in that: The sub-steps to construct a printing performance acquisition strategy based on target analysis data are as follows: S21: taking each item to be analyzed in the target analysis data as a collection item; S22: using the discriminant data in the standard data corresponding to each item to be analyzed as the standard discriminant data of the corresponding collection item; S23: Determine the collection execution device for each collection item; S24: using the device execution parameters in the standard data corresponding to each item to be analyzed as the collection configuration data of the corresponding collection execution device; S25: Constructing a printing performance collection strategy according to the collection items, standard judgment data, collection execution equipment and collection configuration data.

4. The method for analyzing instant ticket printing performance according to claim 3, characterized in that: The sub-steps of analyzing the corresponding data to be analyzed by using the standard discrimination data in the printing performance acquisition strategy to generate the performance analysis results are as follows: S31: classifying the analysis categories of the data to be analyzed to obtain a plurality of data packets to be analyzed, each of which includes: a plurality of data to be analyzed; one data packet to be analyzed corresponds to one analysis category, and the analysis categories include at least: material performance category, printing quality category, printing equipment category, production efficiency category and environmental factor category; S32: Analyze each data to be analyzed in the corresponding data package to be analyzed by using the standard discrimination data in the printing performance acquisition strategy, obtain the difference value between the data to be analyzed and the standard discrimination data, judge the difference value by using the corresponding preset difference threshold, and generate a sub-result; if the difference value is less than the corresponding preset difference threshold, the generated sub-result is qualified; if the difference value is greater than or equal to the corresponding preset difference threshold, the generated sub-result is unqualified; S33: All sub-results constitute a performance analysis result.

5. The method for analyzing instant ticket printing performance according to claim 4, characterized in that: The data to be analyzed in the data package to be analyzed of the material performance category includes at least: paper performance data and ink performance data.

6. The method for analyzing instant ticket printing performance according to claim 4, characterized in that: The data to be analyzed in the data packet to be analyzed of the printing quality category includes at least: color accuracy data, registration accuracy data, and resolution and clarity data.

7. The method for analyzing instant ticket printing performance according to claim 6, characterized in that: The calculation formula for the difference between the color accuracy data and the corresponding standard discrimination data is: ； in, is the difference between the color accuracy data and the standard discrimination data; is the Lab value of the standard discriminant data; is the Lab value of the color accuracy data; is the color bias weight; is the gray balance bias weight; It is the gray balance deviation between the color accuracy data and the standard discrimination data.

8. The method for analyzing instant ticket printing performance according to claim 4, characterized in that: The data to be analyzed in the data packet to be analyzed of the printing equipment category at least includes: printing speed data, printing pressure data, and drying temperature and time data.

9. The method for analyzing instant ticket printing performance according to claim 4, characterized in that: The data to be analyzed in the data package to be analyzed of the production efficiency category includes at least: scrap rate data, equipment utilization rate data and production cycle data.

10. A system for analyzing instant ticket printing performance, characterized in that: include: at least one requester, data collection system, and performance analysis center; The request end is used to send a printing performance analysis request and receive the performance analysis result. Data acquisition system: used to receive and execute printing performance acquisition strategies, collect and send data to be analyzed; The performance analysis center at least includes: a first analysis unit, a strategy building unit, a second analysis unit and a storage unit; The first analysis unit is used to receive a printing performance analysis request, determine target analysis data according to the printing performance analysis request, and send the target analysis data to the strategy building unit; wherein the printing performance analysis request at least includes: a request ID, a request time, and information about an object to be analyzed; the target analysis data includes: a plurality of items to be analyzed, and standard data corresponding to each item to be analyzed, and the standard data at least includes: device execution parameters and discrimination data; Strategy building unit: used to build a printing performance collection strategy according to the target analysis data, and send the printing performance collection strategy to the data collection system; wherein the printing performance collection strategy includes: multiple collection items, each collection item corresponds to a standard discrimination data and a collection execution device, and a collection execution device corresponds to a collection configuration data; The second analysis unit is used to receive the data to be analyzed, analyze the corresponding data to be analyzed by using the standard discrimination data in the printing performance collection strategy, generate a performance analysis result, and send the performance analysis result to the requesting end; wherein the performance analysis result includes: a plurality of sub-results, one sub-result corresponds to one collection item, and the sub-result is qualified or unqualified; Storage unit: used to store template database and acquisition device information library.

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