Intelligent printing quality evaluation method and system based on image detection

Abstract

The invention relates to the technical field of image processing, in particular to an intelligent printing quality evaluation method and system based on image detection, and the method comprises the steps: collecting to-be-printed target data of a multi-source printing product, outputting the printing cost of the multi-source printing product, and configuring the printing importance of the multi-source printing product; according to the printing importance degree of the multi-source printing product, a printing fault candidate parameter set for outputting the multi-source printing product is configured, the printing state of the multi-source printing product within the set job printing time is collected, and therefore the required printing job quality of the multi-source printing product is evaluated; and matching the printing job required quality of the multi-source printing product with a set printing job required correction threshold value, and finally outputting a printing job correction state of multi-source printing. According to the method, the influence of multi-dimensional factors on the printing job decision is comprehensively considered, the printing importance degree of each printed product is judged, the printing quality of each product is matched, and the printing quality is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to an intelligent printing quality evaluation method and system based on image detection. Background Art

[0002] In existing printers, document printing is the main printing content. In the process of printing large-scale tasks, the printer often has unstable printing quality due to reasons such as printing configuration and printing terminal, which may cause color difference, image missing, etc. on a printed document.

[0003] For some industries that require high-quality printing, even if the printer does not have color difference or image loss, low resolution will greatly affect the printer's performance. Currently, there is no corresponding print quality detection method for printers. For large-scale printing jobs, the print quality is generally judged only by manual inspection after the printing is completed. The print quality cannot be detected, and timely feedback cannot be provided when the printer's print quality deteriorates. Summary of the invention

[0004] To achieve the above object, the present invention provides the following technical solutions: According to a first aspect of the present invention, the present invention claims protection for an intelligent printing quality evaluation method based on image detection, comprising: S1. Printing importance configuration: Collect the target data of multi-source printing products to be printed, thereby outputting the printing cost of multi-source printing products and configuring the printing importance of multi-source printing products; S2. Print job quality evaluation: According to the printing importance of multi-source printing products, configure and output the printing fault candidate parameter set of multi-source printing products, and collect the printing status of multi-source printing products within the set job printing time, thereby evaluating the print job quality of multi-source printing products; S3. Print job correction output: Match the required quality of the print job of the multi-source printing product with the set print job correction threshold, and finally output the print job correction status of the multi-source printing.

[0005] Furthermore, the outputting of the print job correction status of the multi-source printing comprises the following specific outputting steps: Match the required quality of the print jobs of multi-source printing products with the set threshold value for print job correction, process the print product types associated with the required quality of the print jobs higher than the threshold value for print job correction, and treat them as the total number of print product types that need correction; if the total number of print product types that need correction is higher than the total number of print product types that need correction defined by the print job platform, the multi-source printing print jobs will be corrected; if the total number of print product types that need correction does not exceed the total number of print product types that need correction defined by the print job platform, the multi-source printing print jobs will not be corrected.

[0006] Further, the printing job of the multi-source printing product requires quality, the steps are: Through the printing status of the multi-source printing product within the set job printing time, the printing terminal information and printing peripheral information of the multi-source printing product within the set job printing time are obtained, and the terminal printing correlation degree of the multi-source printing product and the printing peripheral correlation degree of the multi-source printing product are output respectively, thereby comprehensively processing and outputting the required printing job quality of the multi-source printing product.

[0007] Furthermore, the configuration of the printing importance of the multi-source printing products includes the following specific configuration steps: The printing costs of the multi-source printing products are configured with the printing importance associated with each printing cost range defined in the printing job platform, and finally the printing importance of the multi-source printing products is output.

[0008] Furthermore, the printing cost of the multi-source printing product comprises the following steps: Through the target data of multi-source printing products to be printed, the attribute information and storage environment data of the multi-source printing products are obtained, and the attribute weights of the multi-source printing products and the resource consumption values ​​of the multi-source printing products are analyzed respectively, and finally the printing cost of the multi-source printing products is output. The formula is: , In the formula, The printing cost for the xth type of printed products, The attribute weight of the x-th type of printed product, Indicates the resource consumption value of the x-th type of printing product. is the weight coefficient associated with the set attribute weight, is the weight coefficient associated with the set resource consumption value, x is the number of the multi-source printing product, , r is the total number of printed product types.

[0009] Furthermore, the terminal printing association of the multi-source printing products comprises the following steps: According to the printing importance of the multi-source printing products, the printing fault candidate parameter set associated with each printing importance stored in the printing operation platform is configured, and finally the printing fault candidate parameter set of the multi-source printing products is obtained; Obtaining the number of printing terminals of the multi-source printing product, the printing configuration of each printing terminal, and the average printing speed within the set job printing time from the printing information of the printing terminals of the multi-source printing product within the set job printing time; According to the print fault candidate parameter set, the print candidate speed of each printing terminal within the set job printing time is obtained, thereby analyzing the terminal printing correlation of the multi-source printing product.

[0010] Furthermore, the printing peripheral correlation of the multi-source printing products comprises the following steps: Through the printing peripheral information of the multi-source printing product within the set job printing time, the number of abnormal maintenance logs of the printing peripheral objects belonging to the multi-source printing product within the job printing time, the noise value of the printing terminal at each printing moment, and the quality of the printing paper are obtained; According to the print fault candidate parameter set, the permitted number of abnormal maintenance logs and the permitted quality of printing paper are obtained, and finally the print peripheral correlation of multi-source printing products is obtained.

[0011] Furthermore, the attribute weights of the multi-source printing products are as follows: Outputting the total specifications and total duration of the multi-source printing products according to the attribute information of the multi-source printing products, multiplying the total specifications of the multi-source printing products by the adjustment coefficient of the set specification-related value, and using the output value as the specification adjustment parameter of the multi-source printing products; The total duration of the multi-source printing product is multiplied by the adjustment coefficient of the set duration-related value, and the output value is used as the duration adjustment parameter of the multi-source printing product; According to the specification adjustment parameters of the multi-source printing product and the duration adjustment parameters of the multi-source printing product, an addition processing operation is performed, and finally an image attribute adjustment degree of the multi-source printing product is output; According to the attribute information of the multi-source printing product, a recommended color difference range of the multi-source printing product is obtained, and the color difference values ​​of the objects to which the multi-source printing product belongs at each set saving time are collected from the time series analysis model, thereby obtaining the number of saving time when the color difference value exceeds the recommended color difference range, which is regarded as the number of abnormal color difference moments allowed for the multi-source printing product; The image attribute adjustment degree of multi-source printing products and the number of allowed color difference abnormal moments are comprehensively considered, and finally the attribute weights of multi-source printing products are analyzed.

[0012] Further, the resource consumption value of the multi-source printing product comprises the following steps: According to the storage environment data of the multi-source printing products, the validity period and the printing date of the multi-source printing products are collected therefrom, the expiration date of the multi-source printing products is outputted by adding them, and the difference is processed with the current storage date of the multi-source printing products, and finally the storage date of the multi-source printing products is outputted; Collect the number of days of delayed use associated with the user of the multi-source printing product, perform a ratio process with the delayed use permission duration defined by the printing operation platform, multiply the value output by the ratio with the correction coefficient associated with the set number of days of delayed use, and finally output the usage urgency associated with the user of the multi-source printing product; The storage dates of multi-source print products and the usage urgency associated with the user are processed comprehensively, thereby outputting the resource consumption value of the multi-source print products.

[0013] According to a second aspect of the present invention, the present invention claims protection for an intelligent print quality evaluation system based on image detection, which executes the intelligent print quality evaluation method based on image detection: comprising: A printing importance configuration unit, used for collecting target data to be printed for multi-source printing products, thereby outputting printing costs of the multi-source printing products and configuring printing importance of the multi-source printing products; A print job quality evaluation unit, configured to output a print fault candidate parameter set of the multi-source print product according to the print importance of the multi-source print product, and collect the print status of the multi-source print product within a set job printing time, thereby evaluating the print job quality of the multi-source print product; The print job correction output unit is used to match the print job quality requirement of the multi-source printing product with the set print job correction threshold value, and finally output the print job correction status of the multi-source printing.

[0014] The present invention relates to the field of image processing technology, and in particular to an intelligent printing quality evaluation method and system based on image detection, including collecting target data to be printed of multi-source printing products, thereby outputting the printing cost of the multi-source printing products, and configuring the printing importance of the multi-source printing products; configuring and outputting a printing fault candidate parameter set of the multi-source printing products through the printing importance of the multi-source printing products, and collecting the printing status of the multi-source printing products within a set job printing time, thereby evaluating the required quality of the printing job of the multi-source printing products; matching the required quality of the printing job of the multi-source printing products with a set threshold value for the correction of the printing job, and finally outputting the correction status of the printing job of the multi-source printing. The present invention comprehensively considers the influence of multi-dimensional factors on the printing job decision, determines the printing importance of each printing product, and matches the printing quality of each product, effectively improving the printing quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1A workflow diagram of an intelligent printing quality evaluation method based on image detection claimed in an embodiment of the present invention; Figure 2 A structural module diagram of an intelligent printing quality evaluation system based on image detection as claimed in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a step, method, system, product or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these steps, methods, products or terminals.

[0018] Reference to an "embodiment" herein means that a particular feature, structure, or property described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0019] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent printing quality evaluation method based on image detection, comprising: S1. Printing importance configuration: Collect the target data of multi-source printing products to be printed, thereby outputting the printing cost of multi-source printing products and configuring the printing importance of multi-source printing products; S2. Print job quality evaluation: According to the printing importance of multi-source printing products, configure and output the printing fault candidate parameter set of multi-source printing products, and collect the printing status of multi-source printing products within the set job printing time, thereby evaluating the print job quality of multi-source printing products; S3. Print job correction output: Match the required quality of the print job of the multi-source printing product with the set print job correction threshold, and finally output the print job correction status of the multi-source printing.

[0020] Specifically, the outputting of the correction status of the print job of the multi-source printing comprises the following steps: The required quality of the print jobs of the multi-source printing products is matched with the set threshold value for correction of the print jobs. The threshold value for correction of the print jobs is set by analyzing the historical print data and based on the patterns and trends of the historical data. In this embodiment, it refers to the minimum value set when analyzing the required quality of the print jobs.

[0021] Process the print product types whose required quality for the print job is higher than the print product correction threshold value associated with the print job, and treat them as the total number of print product types that need correction. If the total number of print product types that need correction is higher than the total number of print product definition types that need correction defined by the print job platform, the total number of print product definition types that need correction refers to the minimum number of print product types associated with the print job required quality higher than the print job correction threshold value.

[0022] Modify the print job of multi-source printing; if the total number of print product types that need to be modified does not exceed the total number of defined types of print products that need to be modified defined by the print job platform, the print job of multi-source printing will not be modified.

[0023] Specifically, the printing job of the multi-source printing product requires quality, and the steps are: Print status of multiple source print products within the set job print time.

[0024] It should be explained that the above-mentioned job printing time is usually a data obtained from the entire step definition from the print product leaving the print issuing terminal to arriving at the print terminal and completing printing. It can be minutes, but the specific value will vary with the specific job requirements and printing periphery.

[0025] The printing terminal printing information and printing peripheral information of the multi-source printing product within the set job printing time are obtained, and the terminal printing correlation degree and the printing peripheral correlation degree of the multi-source printing product are output respectively. The terminal printing correlation degree of the multi-source printing product is multiplied by the weight coefficient associated with the set terminal printing correlation degree, and the output value is used as the terminal printing adjustment parameter of the multi-source printing product; the printing peripheral correlation degree of the multi-source printing product is multiplied by the weight coefficient associated with the set printing peripheral correlation degree, and the output value is used as the printing peripheral adjustment parameter of the multi-source printing product.

[0026] It should be explained that the weight coefficient of the above-mentioned terminal printing correlation can be collected through the hierarchical analysis method, and can be determined by the degree of adjustment of different factors in the terminal printing step; the weight coefficient of the printing peripheral correlation can also be obtained through the hierarchical analysis method, and can be determined by the degree of adjustment of different printing peripheral factors on the printing step.

[0027] Thus, the terminal printing adjustment parameters of the multi-source printing product and the printing peripheral adjustment parameters of the multi-source printing product are added together, and finally the required quality of the printing job of the multi-source printing product is output.

[0028] In this embodiment, in the step of printing the printed product at the terminal, if the printing processing capacity of the terminal is unreasonable, the enterprise may be required to provide higher investment, which will increase the printing cost of the printed product; at the same time, if the peripheral abnormality of the printed product in the printing step is too large and the printing is not smooth, it will increase the difficulty of printing and maintaining the printed product; therefore, the terminal printing correlation and the printing peripheral correlation play a key role in the quality of the printing job. When correcting the printing job, the enterprise should comprehensively consider the above factors to balance the needs of saving benefits, peripheral adjustment, etc.

[0029] Furthermore, the terminal printing association of the multi-source printing products comprises the following steps: According to the printing importance of the multi-source printing products, the printing fault candidate parameter sets associated with the printing importance stored in the printing operation platform are configured, and finally the printing fault candidate parameter sets of the multi-source printing products are obtained.

[0030] In this embodiment, the above-mentioned printing fault candidate parameter set includes but is not limited to the permitted number of abnormal maintenance logs, permitted quality of printing paper, printing candidate speed of each printing terminal within the set job printing time, paper loss rate, timeliness, on-time usage rate, and content completeness rate.

[0031] It should be explained that, in an example embodiment, the printing fault candidate parameter set of the above-mentioned multi-source printing products sets the printing importance to include economical printing level, standard printing level and high-quality printing level. If the printing importance of a certain printing product is the standard printing level, the associated printing fault candidate parameter set usually includes paper loss rate, timeliness, on-time usage rate, and content completeness rate.

[0032] The number of printing terminals of the multi-source printing product, the printing configuration of each printing terminal and the average printing speed within the set job printing time are obtained from the printing information of the printing terminals of the multi-source printing product within the set job printing time.

[0033] It should be explained that the method for collecting the above-mentioned number of printing terminals can be a printing information system; the printing equipment quantity can be obtained from the load sensor provided by the printing terminal; the method for collecting the average printing speed is to collect the printing speed associated with the printing terminal at each moment during the job printing time through the speed sensor provided by the printing terminal, and output the average printing speed of the printing terminal during the set job printing time through average value processing.

[0034] Based on the print fault candidate parameter set, the candidate print speed of each printing terminal within the set job printing time is obtained, thereby analyzing the terminal printing correlation of multi-source printing products. In a specific embodiment, the terminal configuration plan, print path planning and other adjustment factors can be corrected to output the terminal printing adjustment association data of the printing product.

[0035] The terminal printing correlation of the multi-source printing products mentioned above is, in this embodiment, a comprehensive analysis of the number of printing terminals, the printing equipment quantity and the average printing speed, and finally outputs the data of the terminal printing adjustment degree of the printing products. The specific calculation method is as follows: , In the formula, Terminal printing relevance for the xth type of printing products.

[0036] The number of printing terminals for the xth type of printing products, is the average printing speed of the f-th printing terminal of the x-th type of printing product within the set job printing time, is the candidate printing speed of the f-th printing terminal within the set job printing time, and refers to the candidate printing speed value set in the printing fault candidate parameter set when analyzing the average printing speed.

[0037] The printing capacity of the fth printing terminal for the xth type of printing product refers to the specifications of printing products that the printing terminal can be equipped with in one printing task.

[0038] It is the adjustment coefficient of the value associated with the number of printing terminals. is the correction coefficient of the set average printing speed, It is the adjustment coefficient of the set printing equipment quantity associated value, wherein the adjustment coefficient of the printing terminal quantity associated value indicates the degree of adjustment of the overall printing steps by increasing or decreasing the number of printing terminals; the collection method of the adjustment coefficient of the printing equipment quantity associated value can perform data analysis and output based on actual data, indicating the degree of adjustment of the overall printing steps by increasing or decreasing one printing equipment quantity.

[0039] f is the number of each printing terminal, , u is the number of the printing terminal, x is the number of the multi-source printing product, , r is the total number of printed product types.

[0040] Specifically, the steps of determining the printing peripheral correlation of the multi-source printing products are as follows: Through the printing peripheral information of the multi-source printing products within the set job printing time, the number of abnormal maintenance logs of the printing peripheral objects belonging to the multi-source printing products within the job printing time, the printing terminal noise value at each printing moment and the printing paper quality are obtained.

[0041] It should be explained that the above-mentioned number of abnormal maintenance logs is collected through the cloud; the noise value of the printing terminal can be collected through the temperature sensor built into the printing terminal.

[0042] Based on the print fault candidate parameter set, the number of abnormal maintenance log permissions and the permitted quality of printing paper are obtained, and finally the print periphery correlation of multi-source printing products is obtained. In a specific embodiment, the adjustment degree of the printing product under different printing peripheries can be analyzed, such as temperature, color difference changes, etc., so as to output data related to the print periphery adjustment degree of the printing product.

[0043] The print peripheral correlation of the multi-source print products is obtained by comprehensively processing data through the number of abnormal maintenance logs, the noise value of the print terminal and the quality of the print paper in this embodiment, so as to output the value of the print peripheral adjustment correlation of the print product. In this embodiment, a more accurate calculation method is used to obtain the value. The specific calculation method is as follows:

[0044] In the formula, It indicates the printing peripheral correlation of the x-th type of printing product. In this embodiment, abnormal maintenance conditions are likely to cause printing delays and interruptions. If the abnormal maintenance conditions are too large, the printing products will be adjusted to be delivered to the product demanders on time; excessive noise value of the printing terminal will increase the risk of temperature damage to the printing product during the printing step; too much printing paper mass may interfere with or damage the electronic terminal, and the normal printing and use of the printing product will be adjusted.

[0045] Indicates the number of abnormal maintenance logs of the printing peripheral objects belonging to the x-th type of printing product during the job printing time.

[0046] Indicates the permitted number of abnormal maintenance logs, and indicates the maximum value set when analyzing the number of abnormal maintenance logs.

[0047] It represents the printing terminal noise value of the printing peripheral object belonging to the x-th type of printing product at the b-th printing moment, which refers to the degree of temperature to which the printing product is subjected during the printing step.

[0048] It indicates the printing paper quality of the printing peripheral object belonging to the x-th type of printing product at the b-th printing moment, and it indicates the quality of the printing paper of the printing peripheral object.

[0049] Indicates the permissible quality of printing paper, and indicates the maximum value set in the step of analyzing printing paper quality.

[0050] Indicates the adjustment coefficient of the set abnormal maintenance log quantity related value. Indicates the adjustment coefficient associated with the set print terminal noise value. Indicates the correction factor associated with the set printing paper quality.

[0051] It should be explained that the adjustment coefficients of the above-mentioned numerical values ​​associated with the number of abnormal maintenance logs, the adjustment coefficients associated with the printing terminal noise value, and the correction coefficients associated with the printing paper quality are all collected from the numerical values ​​output from the historical data analysis in the cloud; the adjustment coefficients of the numerical values ​​associated with the number of abnormal maintenance logs indicate the degree of adjustment of the number of abnormal maintenance logs on the printing steps; the adjustment coefficients associated with the printing terminal noise value indicate the degree of adjustment of the printing terminal noise value on the printing steps; and the correction coefficients associated with the printing paper quality indicate the degree of evaluation of the printing paper quality on the printing steps.

[0052] b represents the number of each printing moment, , q represents the number of printing moments.

[0053] Specifically, the configuration of the printing importance of the multi-source printing products comprises the following steps: The printing costs of the multi-source printing products are configured with the printing importance associated with each printing cost range defined in the printing job platform, and finally the printing importance of the multi-source printing products is output.

[0054] In an example embodiment, the printing cost range is set to include an economical printing range, a standard printing range, and a high-quality printing range, wherein the numerical values ​​associated with the economical printing range include 1-10, the numerical values ​​associated with the standard printing range include 11-50, and the numerical values ​​associated with the high-quality printing range include 51-100; if the printing cost of a certain type of printing product is 2, it belongs to the economical printing range, and the economical printing level is outputted thereby, wherein the printing importance includes the economical printing level, the standard printing level, and the high-quality printing level.

[0055] Furthermore, the printing cost of the multi-source printing product comprises the following steps: Through the target data to be printed of the multi-source printing products, the attribute information and storage environment data of the multi-source printing products are obtained, and the attribute weights of the multi-source printing products and the resource consumption values ​​of the multi-source printing products are analyzed respectively, and finally the printing cost of the multi-source printing products is output. In a specific embodiment, the printing priority of the printing product can be output based on the historical printing data and printing characteristics of the printing product.

[0056] The printing cost of the above multi-source printing product is obtained by a more accurate calculation method in this embodiment. The specific calculation method is as follows: , In the formula, Printing cost for the x-th category of printed products.

[0057] is the attribute weight of the x-th type of printed product, indicating that the image attribute adjustment degree, the insurance attribute adjustment degree and the number of abnormal color difference moments allowed for the printed product are integrated and evaluated, and finally a numerical value of the attribute adjustment degree of the printed product is output.

[0058] The resource consumption value of the x-th type of printing product is obtained by comprehensively processing the print product's shelf life and the urgency of use associated with the user, and finally outputting data on the management adjustment degree of the print product.

[0059] The weight coefficient associated with the set attribute weight is set and output from the data analysis method, and represents the degree of adjustment of the attribute weight on the printing cost.

[0060] The weight coefficient associated with the set resource consumption value is output by analyzing the historical printing data of the printing product, and represents the degree of adjustment of the resource consumption value on the printing cost.

[0061] x is the number of the multi-source printing product, , r is the total number of printed product types.

[0062] Specifically, the attribute weights of the multi-source printing products are as follows: According to the attribute information of the multi-source printing product, the total specifications and total duration of the multi-source printing product are output, the total specifications of the multi-source printing product are multiplied by the adjustment coefficient of the set specification-related value, and the output value is used as the specification adjustment parameter of the multi-source printing product.

[0063] In this embodiment, the adjustment coefficient of the specification-related value can be collected from the printing security model, which represents the adjustment degree of different printing product specifications on the printing properties of the printing product.

[0064] The total duration of the multi-source printing product is multiplied by the adjustment coefficient of the set duration-related value, and the output value is used as the duration adjustment parameter of the multi-source printing product.

[0065] In this embodiment, the adjustment coefficient of the above-mentioned duration-related value can be collected from the printing security model, which represents the degree of adjustment of different printing product durations on the printing properties of the printing product.

[0066] According to the specification adjustment parameters of the multi-source printing product and the duration adjustment parameters of the multi-source printing product, an addition processing operation is performed, and finally the image attribute adjustment degree of the multi-source printing product is output.

[0067] According to the attribute information of the multi-source printing product, the recommended range of color difference of the multi-source printing product is obtained, and the color difference values ​​of the objects to which the multi-source printing product belongs at each set saving moment are collected from the timing analysis model, thereby obtaining the number of saving moments when the color difference value exceeds the recommended range of color difference, which is regarded as the number of allowable color difference abnormal moments of the multi-source printing product.

[0068] It should be explained that the above color difference values ​​are collected as follows: Collect historical color difference data, including color difference records of objects belonging to multi-source printing products; determine the saving time, that is, at which time the color difference value needs to be collected; convert the time series data into a format suitable for time series analysis, and select a model suitable for time series analysis; use the historical color difference data to train the selected time series model and output the model parameters; use the trained time series model to evaluate the color difference at future moments; according to needs, the color difference value of the object belonging to the multi-source printing product at the set saving time can be evaluated; compare the evaluated color difference value with the actual color difference data to evaluate the evaluation effect of the model; finally, associate the evaluated color difference value with the required saving time, and output the color difference value of the object belonging to the multi-source printing product at the set saving time.

[0069] The image attribute adjustment degree of multi-source printing products and the number of allowed color difference abnormal moments are comprehensively considered to finally analyze the attribute weights of the multi-source printing products. In a specific embodiment, the adjustment degree of each feature on the target variable can be calculated, and the numerical value of the attribute adjustment degree of the printing product can be output after integration.

[0070] The attribute weight of the multi-source printing product in this embodiment is obtained by multiplying the image attribute adjustment degree of the multi-source printing product by the adjustment coefficient of the set image attribute adjustment degree associated value, and the output value is the image attribute adjustment parameter of the multi-source printing product.

[0071] It should be explained that the adjustment coefficient of the above-mentioned image attribute adjustment degree correlation value is collected from the image model, which represents the adjustment degree of the image attribute to the attribute weight.

[0072] The number of allowed color difference abnormal moments of the multi-source printing product is multiplied by the adjustment coefficient of the set value associated with the number of allowed color difference abnormal moments, and the output value is the allowed color difference abnormal parameter of the multi-source printing product.

[0073] It should be explained that the adjustment coefficient of the above-mentioned value associated with the number of abnormal color difference moments is collected from the risk assessment model, which represents the degree of adjustment of the attribute weight by the number of abnormal color difference moments.

[0074] The image attribute adjustment parameters of the multi-source printing products are added to the allowable color difference abnormal parameters of the multi-source printing products, thereby outputting the attribute weights of the multi-source printing products.

[0075] Furthermore, the resource consumption value of the multi-source printing product comprises the following steps: According to the storage environment data of the multi-source printing products, the validity period and printing date of the multi-source printing products are collected, and the expiration date of the multi-source printing products is output by addition processing, and the difference processing is performed with the current storage date of the multi-source printing products, and finally the storage date of the multi-source printing products is output.

[0076] It should be explained that the validity period and printing date of the above-mentioned multi-source printing products can be directly obtained from the packaging of the printing products; the current preservation date represents the date of the printing product between the current time and the expiration date.

[0077] The number of days of delayed use associated with users of multi-source printing products is collected, wherein the number of days of delayed use is collected by communicating and negotiating with the users to understand the users' requirements for the number of days of use and the allowable delay time, thereby collecting the number of days of delayed use.

[0078] The ratio is processed with the permitted deferred use period defined by the print job platform, and the output value of the ratio is multiplied by the correction coefficient associated with the set number of days for deferred use, and finally the usage urgency associated with the user of the multi-source printing product is output.

[0079] It should be explained that the above-mentioned delayed use license duration represents the maximum duration value set when analyzing the number of days that can be delayed in use.

[0080] The storage dates of multi-source print products and the usage urgency associated with the user are processed comprehensively, thereby outputting the resource consumption value of the multi-source print products.

[0081] The resource consumption value of the multi-source printing product is obtained by a more accurate calculation method in this embodiment. The specific calculation method is as follows: , In the formula, Indicates the resource consumption value of the xth type of printing product.

[0082] It indicates the duration associated with the shelf life of the x-th type of printed product, and indicates the shelf life calculated above.

[0083] The usage urgency associated with the user of the x-th type of printing product is inversely proportional to the number of days that can be delayed for use, that is, the shorter the number of days that can be delayed for use, the higher the usage urgency.

[0084] Indicates the adjustment coefficient of the duration associated with the set saveable date. Indicates the adjustment coefficient of the set usage urgency related value.

[0085] The adjustment coefficient of the above-mentioned preservation date associated time length indicates the importance of the preservation date to the management of printed products.

[0086] In this embodiment, the specific values ​​of the weight coefficient, the adjustment coefficient and the correction coefficient will be adjusted according to the different scales of the associated parameters.

[0087] Reference Figure 2 As shown, the second aspect of the present invention provides an intelligent printing quality evaluation system based on image detection, including: a print job correction output unit, a print job quality evaluation unit, a print importance configuration unit and a print job platform.

[0088] The print job correction output unit is connected to the print job quality evaluation unit, the print job quality evaluation unit is connected to the print importance configuration unit, and the print job correction output unit, the print job quality evaluation unit and the print importance configuration unit are all connected to the print job platform.

[0089] The print job correction output unit is used to match the print job quality required by the multi-source printing product with the set print job correction threshold value, and finally output the print job correction status of the multi-source printing; The print job quality evaluation unit is used to configure and output a print fault candidate parameter set of the multi-source print products according to the print importance of the multi-source print products, and collect the printing status of the multi-source print products within the set job printing time, thereby evaluating the print job quality of the multi-source print products.

[0090] The printing importance configuration unit is used to collect target data to be printed of multi-source printing products, thereby outputting the printing costs of the multi-source printing products and configuring the printing importance of the multi-source printing products.

[0091] The printing operation platform is used to store the delayed use permission time, the total number of defined types of printing products that need to be corrected, the printing importance associated with each printing cost range, and the printing fault candidate parameter set associated with each printing importance.

[0092] The above-mentioned printing operation platform, in this embodiment, is used to store various data that need to be analyzed.

[0093] The present invention provides an intelligent printing quality evaluation method and system based on image detection. First, the target data to be printed of multi-source printing products are collected, and the preservation status of the printing products can be monitored in real time. The printing importance of the multi-source printing products is configured, and the printing importance of the printing products can be timely understood. The printing status of the multi-source printing products within the set job printing time is comprehensively collected, thereby evaluating the required quality of the printing job of the multi-source printing products. Through the correction status of the printing job of the multi-source printing, potential problems in the printing job can be discovered and solved in time, so as to improve the overall maintenance utilization rate of the multi-source.

[0094] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0095] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist as a separate image, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software functional unit. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings of the present invention, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present invention.

[0096] The specific implementation methods of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the scope of the invention.

Claims

1. An intelligent printing quality evaluation method based on image detection, characterized in that: include: S1. Printing importance configuration: Collect the target data of multi-source printing products to be printed, thereby outputting the printing cost of multi-source printing products and configuring the printing importance of multi-source printing products; S2. Print job quality evaluation: According to the printing importance of multi-source printing products, configure and output the printing fault candidate parameter set of multi-source printing products, and collect the printing status of multi-source printing products within the set job printing time, thereby evaluating the print job quality of multi-source printing products; S3. Print job correction output: Match the required quality of the print job of the multi-source printing product with the set print job correction threshold, and finally output the print job correction status of the multi-source printing.

2. The intelligent printing quality evaluation method based on image detection according to claim 1, characterized in that: The specific output steps of outputting the print job correction status of multi-source printing are as follows: Match the required quality of the print jobs of multi-source printing products with the set threshold value for print job correction, process the print product types associated with the required quality of the print jobs higher than the threshold value for print job correction, and treat them as the total number of print product types that need correction; if the total number of print product types that need correction is higher than the total number of print product types that need correction defined by the print job platform, the multi-source printing print jobs will be corrected; if the total number of print product types that need correction does not exceed the total number of print product types that need correction defined by the print job platform, the multi-source printing print jobs will not be corrected.

3. The intelligent printing quality evaluation method based on image detection according to claim 1, characterized in that: The printing job of the multi-source printing product requires quality, and the steps are: Through the printing status of the multi-source printing product within the set job printing time, the printing terminal information and printing peripheral information of the multi-source printing product within the set job printing time are obtained, and the terminal printing correlation degree of the multi-source printing product and the printing peripheral correlation degree of the multi-source printing product are output respectively, thereby comprehensively processing and outputting the required printing job quality of the multi-source printing product.

4. The intelligent printing quality evaluation method based on image detection according to claim 1, characterized in that: The configuration of the printing importance of the multi-source printing products includes the following specific configuration steps: The printing costs of the multi-source printing products are configured with the printing importance associated with each printing cost range defined in the printing job platform, and finally the printing importance of the multi-source printing products is output.

5. The intelligent printing quality evaluation method based on image detection as claimed in claim 4, characterized in that: The printing cost of the multi-source printing product, the steps are: Through the target data of multi-source printing products to be printed, the attribute information and storage environment data of the multi-source printing products are obtained, and the attribute weights of the multi-source printing products and the resource consumption values ​​of the multi-source printing products are analyzed respectively, and finally the printing cost of the multi-source printing products is output. The formula is: ， In the formula, The printing cost for the xth type of printed products, The attribute weight of the x-th type of printed product, Indicates the resource consumption value of the x-th type of printing product. is the weight coefficient associated with the set attribute weight, is the weight coefficient associated with the set resource consumption value, x is the number of the multi-source printing product, , r is the total number of printed product types.

6. The intelligent printing quality evaluation method based on image detection as claimed in claim 3, characterized in that: The terminal printing association degree of the multi-source printing product comprises the following steps: According to the printing importance of the multi-source printing products, the printing fault candidate parameter set associated with each printing importance stored in the printing operation platform is configured, and finally the printing fault candidate parameter set of the multi-source printing products is obtained; Obtaining the number of printing terminals of the multi-source printing product, the printing configuration of each printing terminal, and the average printing speed within the set job printing time from the printing information of the printing terminals of the multi-source printing product within the set job printing time; According to the print fault candidate parameter set, the print candidate speed of each printing terminal within the set job printing time is obtained, thereby analyzing the terminal printing correlation of the multi-source printing product.

7. The intelligent printing quality evaluation method based on image detection as claimed in claim 3, characterized in that: The printing peripheral correlation of the multi-source printing products comprises the following steps: Through the printing peripheral information of the multi-source printing product within the set job printing time, the number of abnormal maintenance logs of the printing peripheral objects belonging to the multi-source printing product within the job printing time, the noise value of the printing terminal at each printing moment, and the quality of the printing paper are obtained; According to the print fault candidate parameter set, the permitted number of abnormal maintenance logs and the permitted quality of printing paper are obtained, and finally the print peripheral correlation of multi-source printing products is obtained.

8. The intelligent printing quality evaluation method based on image detection according to claim 5, characterized in that: The attribute weights of the multi-source printing products are as follows: Outputting the total specifications and total duration of the multi-source printing products according to the attribute information of the multi-source printing products, multiplying the total specifications of the multi-source printing products by the adjustment coefficient of the set specification-related value, and using the output value as the specification adjustment parameter of the multi-source printing products; The total duration of the multi-source printing product is multiplied by the adjustment coefficient of the set duration-related value, and the output value is used as the duration adjustment parameter of the multi-source printing product; According to the specification adjustment parameters of the multi-source printing product and the duration adjustment parameters of the multi-source printing product, an addition processing operation is performed, and finally an image attribute adjustment degree of the multi-source printing product is output; According to the attribute information of the multi-source printing product, a recommended color difference range of the multi-source printing product is obtained, and the color difference values ​​of the objects to which the multi-source printing product belongs at each set saving time are collected from the time series analysis model, thereby obtaining the number of saving time when the color difference value exceeds the recommended color difference range, which is regarded as the number of abnormal color difference moments allowed for the multi-source printing product; The image attribute adjustment degree of multi-source printing products and the number of allowed color difference abnormal moments are comprehensively considered, and finally the attribute weights of multi-source printing products are analyzed.

9. The intelligent printing quality evaluation method based on image detection according to claim 5, characterized in that: The resource consumption value of the multi-source printing product, the steps are: According to the storage environment data of the multi-source printing products, the validity period and the printing date of the multi-source printing products are collected therefrom, the expiration date of the multi-source printing products is outputted by adding them, and the difference is processed with the current storage date of the multi-source printing products, and finally the storage date of the multi-source printing products is outputted; Collect the number of days of delayed use associated with the user of the multi-source printing product, perform a ratio process with the delayed use permission duration defined by the printing operation platform, multiply the value output by the ratio with the correction coefficient associated with the set number of days of delayed use, and finally output the usage urgency associated with the user of the multi-source printing product; The storage dates of multi-source print products and the usage urgency associated with the user are processed comprehensively, thereby outputting the resource consumption value of the multi-source print products.

10. An intelligent print quality evaluation system based on image detection, executing an intelligent print quality evaluation method based on image detection as claimed in any one of claims 1 to 9, characterized in that: include: A printing importance configuration unit, used for collecting target data to be printed for multi-source printing products, thereby outputting printing costs of the multi-source printing products and configuring printing importance of the multi-source printing products; A print job quality evaluation unit, configured to output a print fault candidate parameter set of the multi-source print product according to the print importance of the multi-source print product, and collect the print status of the multi-source print product within a set job printing time, thereby evaluating the print job quality of the multi-source print product; The print job correction output unit is used to match the print job quality requirement of the multi-source printing product with the set print job correction threshold value, and finally output the print job correction status of the multi-source printing.

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