Information processing system and information processing program

Abstract

To provide an information processing system and information processing program for predicting timing when an inspection history will be referenced.SOLUTION: An estimation unit 106 inputs new input information, including information on a new inspection history, to a trained model pre-trained to output timing information on timing when an inspection history is referenced upon input of input information including information on an inspection history representing a history of inspection of printed matter, so as to output timing information corresponding to the new inspection history.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to an information processing system and an information processing program. [Background technology]

[0002] Patent Document 1 discloses a printed matter inspection system that includes a processor that inspects the quality of printed matter and a display unit that displays the results of the inspection. The processor reads and executes a program to compare a scanned image obtained by scanning a printed matter of a page that is the target of inspection among the pages that make up a job with a reference image created using rasterized data of the page that is the target of inspection, inspects a first defect present in the scanned image at a first inspection level that is a preset initial level or a level set by the user, automatically inspects a second defect present in the scanned image at a second inspection level that is different from the first inspection level, and displays the first defect and the second defect on the display unit in a distinguishable manner.

[0003] Some printing devices are equipped with an inspection function that verifies the raster image when the print data is created and the scanned image when printing. When this inspection function detects an NG result, it discards all printed sheets on the paper path and reprints from the sheet that was detected as NG.

[0004] Here, since a user may need to refer back to the inspection history, it is necessary to save the inspection history. Because there is a limit to the storage space available for saving the inspection history, the inspection history is automatically deleted at regular intervals. However, the length of the period that can be referred back varies depending on the inspection history. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2023-136927 Summary of the Invention [Problem to be solved by the invention]

[0006] Therefore, an object of the present disclosure is to provide an information processing system and an information processing program that can predict when an inspection history will be referenced. [Means for solving the problem]

[0007] In order to achieve the above object, the information processing system of the first aspect includes a processor, and when the processor receives input information including information regarding an inspection history, which is a history of inspection of printed matter, the processor outputs timing information corresponding to the new inspection history by inputting new input information including information regarding a new inspection history into a trained model that has been trained in advance to output timing information regarding when the inspection history will be referenced.

[0008] An information processing system according to a second aspect is the information processing system according to the first aspect, wherein the information relating to the inspection history includes information relating to the settings for inspecting the printed matter or information relating to the results of inspecting the printed matter.

[0009] An information processing system according to a third aspect is the information processing system according to the first aspect, wherein the input information further includes information of a print job corresponding to the printed material.

[0010] An information processing system according to a fourth aspect is the information processing system according to the third aspect, wherein the information about the print job includes information about settings of the print job or information about a status of the print job.

[0011] An information processing system according to a fifth aspect is the information processing system according to the first aspect, wherein the input information further includes information about a printing device that printed the printed material.

[0012] An information processing system according to a sixth aspect is the information processing system according to the first aspect, wherein the input information further includes information relating to when a print job corresponding to the printed material was executed.

[0013] In the information processing system of the seventh aspect, in the information processing system of the first aspect, the processor inputs new input information including information about the new inspection history into the trained model at regular intervals or whenever the capacity of the stored inspection history exceeds a threshold, and outputs timing information corresponding to the new input information.

[0014] An information processing system according to an eighth aspect is an information processing system according to the first aspect, wherein the processor deletes the test history corresponding to the new input information if the time indicated by the timing information corresponding to the new input information is earlier than the time when the timing information corresponding to the new input information was output.

[0015] An information processing system according to a ninth aspect is an information processing system according to the first aspect, wherein the processor outputs a notification regarding the deletion of the test history corresponding to the new input information if the time indicated by the timing information corresponding to the new input information is earlier than the time when the timing information corresponding to the new input information was output.

[0016] The information processing program of the tenth aspect causes a computer to input new input information including information about a new inspection history into a trained model that has been trained in advance to output timing information regarding the time when the inspection history, which is a history of inspection of printed matter, is referenced, thereby outputting timing information corresponding to the new inspection history. [Effects of the Invention]

[0017] According to the first aspect, it is possible to predict when the inspection history will be referred to.

[0018] According to the second aspect, it is possible to predict the time when the examination history will be referenced, based on the information on the examination settings or the examination results.

[0019] According to the third aspect, it is possible to predict the time when the inspection history will be referenced, based on the information about the print job.

[0020] According to the fourth aspect, it is possible to predict when the inspection history will be referenced, based on information relating to the settings of the print job or information relating to the status of the print job.

[0021] According to the fifth aspect, it is possible to predict when the inspection history will be referenced, taking into account information about the printing device.

[0022] According to the sixth aspect, it is possible to predict when the inspection history will be referenced, based on information about when the print job was executed.

[0023] According to the seventh aspect, it is possible to predict the time when the inspection history will be referenced at the timing when the inspection history should be deleted.

[0024] According to the eighth aspect, the inspection history can be deleted based on a prediction of when the inspection history will be referenced.

[0025] According to the ninth aspect, it is possible to output a notification regarding the deletion of the inspection history based on a prediction of when the inspection history will be referenced.

[0026] According to the tenth aspect, it is possible to predict when the inspection history will be referred to. [Brief explanation of the drawings]

[0027] [Figure 1] 1 is a diagram showing a schematic configuration of an information processing system according to an embodiment of the present invention; [Figure 2] FIG. 2 is a block diagram showing the main configuration of an electrical system of a printing device in the information processing system according to the present embodiment. [Figure 3]2 is a block diagram showing the configuration of the main electrical system of a management device and a client computer in the information processing system according to the present embodiment. FIG. [Figure 4] FIG. 2 is a functional block diagram showing the functional configuration of a client computer in the information processing system according to the present embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of a trained neural network model. [Figure 6] 10 is a flowchart showing an example of the flow of a learning process performed in a client computer of the information processing system according to the present embodiment. [Figure 7] 10 is a flowchart showing an example of the flow of an estimation process performed in a client computer of the information processing system according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0028] An example of this embodiment will be described in detail below with reference to the drawings. In this embodiment, an information processing system in which a management device, a printing device, a client computer, etc. are connected to each other via communication lines such as various networks will be described as an example. Figure 1 is a diagram showing the schematic configuration of an information processing system 10 according to this embodiment.

[0029] 1, an information processing system 10 according to this embodiment includes a management device 11, a printing device 12, an inspection device 13, and a client computer 14. The management device 11, the printing device 12, the inspection device 13, and the client computer 14 are connected to each other via a communication line 18 such as a local area network (LAN), a wide area network (WAN), the internet, or an intranet. The management device 11, the printing device 12, the inspection device 13, and the client computer 14 are each capable of transmitting and receiving various data to and from each other via the communication line 18. In this embodiment, the client computer 14 issues a printing instruction to the printing device 12 via the management device 11, causing the printing device 12 to form an image in accordance with the print instruction.

[0030] Although FIG. 1 shows one management device 11, one printing device 12, one inspection device 13, and one client computer 14, there may be a plurality of each, or there may be a plurality of any of them.

[0031] The printing device 12 according to this embodiment has multiple functions, such as a printing function for performing print processing, a post-processing function for performing post-processing on printed paper, etc. The multiple functions may include a reading function for reading an original to obtain image information representing the original, a copying function for copying an image recorded on the original onto paper, a facsimile function for sending and receiving various data via a telephone line (not shown), a transfer function for transferring original information such as image information read by the reading function, etc., and a storage function for storing original information such as read image information.

[0032] In the following description, the facsimile function may be referred to as fax, the reading function as scan, the printing function as print, and the copying function as copy.

[0033] FIG. 2 is a block diagram showing the main configuration of the electrical system of the printing device 12 in the information processing system 10 according to this embodiment.

[0034] As shown in Fig. 2, the printing device 12 according to this embodiment includes a control unit 20. The control unit 20 may include a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory).

[0035] Meanwhile, the printing device 12 according to this embodiment includes a hard disk drive (HDD) 26 that stores various data, application programs, and the like. The printing device 12 is also connected to a user interface 22 and includes a display control unit 28 that controls the display of various operation screens and the like on the display of the user interface 22. The printing device 12 is also connected to the user interface 22 and includes an operation input detection unit 30 that detects operation instructions input via the user interface 22. In the printing device 12, the HDD 26, the display control unit 28, and the operation input detection unit 30 are electrically connected to a system bus 42. While the printing device 12 according to this embodiment uses the HDD 26 as a storage unit, this is not a limitation and a non-volatile storage unit such as a flash memory may also be used. Furthermore, while this embodiment uses a touch panel capable of displaying and inputting operations as the user interface 22, this is not a limitation and a user interface having a display and an operation unit that are separate may also be used.

[0036] The printing device 12 according to this embodiment also includes a print control unit 34 that controls the printing process performed by the printing unit 24, the transport of paper to the printing unit 24 by the transport unit 25, the post-processing performed by the post-processing unit 46, and the reading process of the printed material by the inspection unit 48. The printing device 12 may also include a read control unit that controls the optical image reading operation performed by the document reading unit and the document feeding operation performed by the document transport unit. The printing device 12 also includes a communication line I / F (interface) unit 36 ​​that is connected to the communication line 18 and transmits and receives communication data to and from other external devices, such as the client computer 14, connected to the communication line 18. The printing device 12 may also include a facsimile I / F (interface) that is connected to a telephone line (not shown) and transmits and receives facsimile data to and from a facsimile device connected to the telephone line. The printing device 12 may also include a transmission / reception control unit that controls the transmission and reception of facsimile data via the facsimile I / F unit 38. In the printing device 12, the print control unit 34 and the communication line I / F unit 36 ​​are electrically connected to the system bus 42.

[0037] With the above configuration, the printing device 12 according to this embodiment uses the control unit 20 to control the display of information such as operation screens and various messages on the display of the user interface 22 via the display control unit 28. The printing device 12 also uses the control unit 20 to control the operation of the printing unit 24, conveying unit 25, post-processing unit 46, and inspection unit 48 via the print control unit 34, and to control the sending and receiving of communication data via the communication line I / F unit 36. Furthermore, the printing device 12 uses the control unit 20 to grasp the operation content of the user interface 22 based on the operation information detected by the operation input detection unit 30, and executes various controls based on this operation content.

[0038] In this embodiment, an example of an application stored in the HDD 26 includes an application that executes a function such as printing.

[0039] When the printing device 12 prints based on the printing information, the inspection device 13 inspects the printed matter by comparing the raster image represented by the printing information with the scanned image of the printed matter obtained by the inspection unit 48.

[0040] Next, the configuration of the main electrical parts of the management device 11 and the client computer 14 according to this embodiment will be described. Fig. 3 is a block diagram showing the configuration of the main electrical parts of the management device 11 and the client computer 14 in the information processing system 10 according to this embodiment. Note that the management device 11 and the client computer 14 have general computer configurations, and therefore, the following description will be given using the management device 11 as a representative.

[0041] As shown in FIG. 3 , the management device 11 according to this embodiment includes a CPU 11A as an example of a processor, a ROM 11B, a RAM 11C, a storage 11D, an operation unit 11E, a display unit 11F, and a communication line I / F (interface) unit 11G. The CPU 11A controls the overall operation of the management device 11. The ROM 11B stores various control programs and parameters in advance. The RAM 11C is used as a work area when the CPU 11A executes various programs. The storage 11D stores various data and application programs. The operation unit 11E is used to input various information. The display unit 11F is used to display various information. The communication line I / F unit 11G is connected to a communication line 18 and transmits and receives various data to and from other devices connected to the communication line 18. The communication line I / F unit 11G may also be configured to be capable of directly communicating with each device using various well-known wireless communications. The above-described components of the management device 11 are electrically connected to one another via a system bus 111. In the management device 11 according to this embodiment, the storage 11D is used as a storage unit, and examples of storage include non-volatile storage units such as HDDs (Hard Disk Drives) and flash memories.

[0042] With the above configuration, the management device 11 according to this embodiment uses the CPU 11A to access the ROM 11B, RAM 11C, and storage 11D, to obtain various data via the operation unit 11E, and to display various information on the display unit 11F. In addition, the management device 11 uses the CPU 11A to control the transmission and reception of communication data via the communication line I / F unit 11G.

[0043] In the information processing system 10 configured as above, the management device 11 manages a series of manufacturing processes. The series of manufacturing processes includes, for example, a production process, a prepress process, a plate making process, a printing process, a processing process, and a delivery process.

[0044] Next, a description will be given of the functional configuration of the client computer 14. Fig. 4 is a block diagram showing an example of the functional configuration of the client computer 14.

[0045] As shown in FIG. 4, the client computer 14 is functionally configured to include a collection unit 101, a learning data storage unit 102, a learning unit 103, a model storage unit 104, a reception unit 105, an estimation unit 106, and an output unit 107.

[0046] The collection unit 101 collects learning data including pairs of past input information relating to the inspection history by the inspection device 13 and time information relating to the time when the inspection history is referenced, corresponding to the input information.

[0047] The input information includes information about the inspection history, which is a history of inspections of printed materials. The information about the inspection history may include information about the settings for inspecting printed materials or information about the results of inspecting printed materials. Specifically, the information about the inspection settings includes, for example, the number of inspections for one printed material, the inspection size indicating the size of the inspection area for one inspection, the inspection type, etc. The inspection type includes, for example, an inspection that reads a barcode, an inspection that performs a bit-by-bit comparison between a raster image and a scanned image, etc.

[0048] The management device 11 has information relating to orders for printed materials, manufacturing information, and history information for managing inspection history.

[0049] The collection unit 101 collects information on the test settings in the past test history from the history information held by the management device 11.

[0050] The information about the result of the inspection includes, for example, whether the result of the inspection is OK or NG, a raster image, a scanned image, and the like.

[0051] The collection unit 101 acquires information about the results of the inspection in the inspection history from the history information held by the management device 11.

[0052] The input information may also include information about a print job corresponding to the printed matter. Specifically, the print job information may include information about print job settings, information about the status of the print job, etc. The information about print job settings may include information about image processing, information about post-processing, or information about the supplier.

[0053] The information relating to image processing includes information relating to color processing, information relating to imposition, information relating to total toner amount regulation, information relating to user adjustment, information relating to calibration, information relating to brightness adjustment, information relating to color profiles, information relating to TRCs (Table Reference Characters), and the like.

[0054] The information relating to post-processing includes, for example, stapling, punching, folding, cutting, etc. The information relating to the supplier includes, for example, identification information of the supplier or the shipping destination.

[0055] Information about the status of the print job includes, for example, whether printing is complete, post-processing is complete, or shipping is complete.

[0056] The collection unit 101 acquires, from the history information held by the management device 11, information on the print job corresponding to the inspection indicated by the inspection history.

[0057] The input information may also include information about the printing device 12 corresponding to the inspection represented by the inspection history. Specifically, the information about the printing device 12 includes information about the type of pre-processing, the type of post-processing, or the path of the printed material, etc.

[0058] The types of pre-processing include, for example, pre-printing, paper feeding, etc., and the types of post-processing include, for example, post-printing, paper feeding, etc. The information about the path includes, for example, the distance between each device related to pre-processing, printing processing, post-processing, and shipping.

[0059] The collection unit 101 acquires information about the printing device 12 from the history information held by the management device 11.

[0060] The input information may include information regarding when a print job corresponding to the printing unit was executed.

[0061] Information relating to when a print job was executed includes, for example, when printing was completed, when post-processing was completed, or when shipping was completed.

[0062] The collection unit 101 acquires information about the time when the print job was executed from the history information held by the management device 11.

[0063] The timing information regarding the time when the examination history is referenced includes, for example, the number of days indicating how many days after the examination the examination history was referenced.

[0064] The collection unit 101 acquires, from the history information held by the management device 11, time information relating to the time when the inspection history is referenced.

[0065] The learning data storage unit 102 stores a plurality of pieces of learning data collected by the collection unit 101.

[0066] The learning unit 103 receives input information based on a plurality of learning data and constructs a neural network model for estimating time information relating to the time when the inspection history will be referenced, which corresponds to the input information.

[0067] Specifically, the trained neural network model accepts input information including at least one of information about the test settings, information about the print job, information about the printing device 12, information about when the print job was executed, and information about the test results, and outputs timing information about when the test history will be referenced, which corresponds to the input information (see FIG. 5). Deep learning can be used as an example of a learning algorithm, and the neural network model may be constructed so that when input information for training data is input, the timing information for the training data is output.

[0068] More specifically, the input information of the learning data is used as an input, and timing information is estimated as the model output. The estimated timing information is compared with the timing information of the learning data to calculate the error in the timing information, and the model parameters may be updated to minimize the value of the error.

[0069] Here, the correlation between various information included in the input information and time information regarding the time when the inspection history is referenced will be described.

[0070] First, information about test settings can identify the number of tests, test size, and test type that affect test accuracy, and can serve as a basis for determining whether or not to refer to the test history at a later date. Thus, there is a correlation between information about test settings and timing information about when the test history will be referred to.

[0071] Print job information can identify image processing that affects image quality or shipping destination information that affects shipping, and can serve as material for determining whether or not to reference the inspection history at a later date. For example, in cases where the inspection history is referenced based on the reaction of a customer to whom a product has been delivered, if the shipping destination is relatively far away, it will take time for the product to reach the customer, so the timing of referencing the inspection history is likely to be delayed. In this way, there is a correlation between print job information and timing information regarding when the inspection history will be referenced.

[0072] The likelihood of referencing the inspection history depends on whether the print job inspection result is OK or NG. For example, an inspection history that includes pages with NG inspection results is likely to be referenced. In this way, there is a correlation between information about the inspection results and information about when the inspection history will be referenced.

[0073] The timing at which the inspection history is referenced varies depending on whether the print job status is printing completed, post-processing completed, or shipping completed. In this way, there is a correlation between information about the print job status and timing information about when the inspection history is referenced.

[0074] From the information about the printing device 12, it is possible to identify the pre- and post-processing or print paper path status that will affect the printed product, and this can serve as material for determining whether or not to refer to the inspection history at a later date. In this way, there is a correlation between the information about the printing device 12 and the timing information regarding when the inspection history will be referred to.

[0075] The information about when the print job was executed can be used to determine when each printing process was completed, and can serve as a basis for determining the period when the inspection history will be referenced at a later date. In this way, there is a correlation between the information about when the print job was executed and the timing information about when the inspection history will be referenced.

[0076] The model storage unit 104 stores a trained neural network model.

[0077] The receiving unit 105 receives input information including information on a new examination history to be estimated.

[0078] The input information includes information about the settings for inspecting printed matter. Specifically, the information about the settings for inspecting printed matter includes, for example, the number of inspections for one printed matter, an inspection size indicating the size of the inspection area for one inspection, an inspection type, etc. The receiving unit 105 receives, for example, the number of inspections "3", the inspection size "3 x 3", and the inspection type "inspection by bit comparison" acquired from the management device 11.

[0079] The input information may also include information about the result of the inspection. Specifically, the information about the result of the inspection may include whether the inspection result is OK or NG, a raster image, a scanned image, etc. The accepting unit 105 accepts the result of the inspection, "OK," acquired from the management device 11, for example.

[0080] The input information may also include information about the print job corresponding to the printed matter. Specifically, the print job information includes information about the print job settings or information about the print job status. The information about the print job settings may include information about image processing, information about post-processing, and information about the supplier. The information about the print job status may include, for example, printing completed, post-processing completed, or shipping completed. The receiving unit 105 receives, for example, information about image processing "Total toner amount restriction applied," information about post-processing "Staple," identification information of the orderer, and information about the print job status "Shipping completed," all of which are acquired from the management device 11.

[0081] The input information may also include information about the printing device 12 corresponding to the inspection indicated by the inspection history. Specifically, the information about the printing device 12 may include information about the type of pre-processing, the type of post-processing, and the path of the printed material. For example, the receiving unit 105 receives, from the management device 11, the type of pre-processing "preprint," the type of post-processing "postprint," and information about the path of the printed material "the distance between the devices is 10 m."

[0082] The input information may also include information about when the print job was executed. Specifically, the information about when the print job was executed may include when printing was completed, when post-processing was completed, when shipping was completed, etc. The accepting unit 105 accepts, for example, the time when printing was completed, when post-processing was completed, or when shipping was completed, acquired from the management device 11.

[0083] The estimation unit 106 uses the trained neural network model stored in the model storage unit 104 to estimate time information corresponding to the received input information.

[0084] Specifically, various pieces of information contained in the received input information are converted into data structures (e.g., scalar values, vectors, etc.) that can be input into a trained neural network model, and then input into the trained neural network model, and timing information is estimated from the output of the trained model.

[0085] The output unit 107 outputs the estimated timing information for each inspection history to the management device 11. The management device 11 deletes each inspection history according to the estimated timing information. Specifically, if the time indicated by the estimated timing information is before the time when timing information corresponding to new input information was output, the management device 11 deletes the inspection history corresponding to the new input information. For example, if the estimated timing information for each inspection history indicates that the inspection history will not be referenced after the current time, the management device 11 deletes the inspection history.

[0086] Next, specific processing performed in the information processing system 10 according to this embodiment configured as described above will be described.

[0087] First, in the client computer 14, the CPU 14A reads out the learning program from the ROM 14B or the storage 14D, loads it into the RAM 14C, and executes it, thereby performing the learning process shown in FIG.

[0088] In step S100, the CPU 14A, as the collection unit 101, collects learning data including pairs of input information regarding the test history and timing information regarding the time when the test history is referenced, corresponding to the input information, and stores the data in the learning data storage unit 102.

[0089] In step S102, the CPU 14A, as the learning unit 103, learns a neural network model for estimating timing information corresponding to the input information based on a plurality of learning data, taking the input information as input, stores the model in the model storage unit 104, and terminates the learning process.

[0090] Next, in the client computer 14, the CPU 14A reads out the estimation program from the ROM 14B or the storage 14D, loads it into the RAM 14C, and executes it, thereby performing the estimation process shown in Fig. 7. At this time, the estimation process is repeatedly performed for each inspection history stored in the management device 11 as an estimation target. Also, it is assumed that various information contained in the input information related to the inspection history to be estimated has been input. Also, this estimation process is performed at regular intervals or each time the volume of the stored inspection history reaches or exceeds a threshold.

[0091] In step S110, CPU 14A functions as reception unit 105 and receives input information on the examination history to be estimated, which is input by the user.

[0092] In step S112, CPU 14A functions as estimation unit 106 and uses the trained neural network model stored in model storage unit 104 to estimate time information corresponding to the received input information.

[0093] In step S114, CPU 14A functions as output unit 107 to output the estimated time information to management device 11, and ends the estimation process. Then, management device 11 deletes each inspection history in accordance with the estimated time information.

[0094] By performing the process in this manner, it is possible to predict when the inspection history will be referenced.

[0095] <Modification> The present invention is not limited to the above-described embodiment, and various modifications and applications are possible without departing from the spirit and scope of the present invention.

[0096] For example, if the time indicated by the time information corresponding to the new input information is before the time when the time information corresponding to the new input information was output, the output unit 107 may output a notification regarding the deletion of the test history corresponding to the new input information. For example, the output unit 107 may output a message for confirmation to the user, such as "Are you sure you want to delete the test history?", or a message recommending the user to perform the deletion operation, such as "Please delete the test history."

[0097] In addition, although an example has been described in which various types of input information are accepted and timing information is estimated, it is also possible to accept only a portion of the various types of input information rather than accepting all of the various types of input information and estimate timing information.

[0098] Furthermore, although the client computer 14 has been described as learning a model and estimating time information, it may be configured as a learning device that learns a model and an estimation device that estimates time information.

[0099] Furthermore, in the above embodiments, the term "processor" refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPUs, etc.) and dedicated processors (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).

[0100] Furthermore, the operations of the processors in the above embodiments may not only be performed by a single processor, but may also be performed by multiple processors located at physically separate locations working together. Furthermore, the order of the operations of the processors is not limited to the order described in the above embodiments, and may be changed as appropriate.

[0101] Furthermore, although the "system" in this embodiment is described as being composed of multiple devices as an example, it may also be composed of a single device that has some of the functions of the multiple devices.

[0102] The processing performed by the printing device 12 according to the above embodiment may be software-based, hardware-based, or a combination of both. The processing performed by the printing device 12 may also be stored as a program on a storage medium and distributed.

[0103] Furthermore, the present disclosure is not limited to the above, and it goes without saying that various modifications can be made without departing from the spirit of the present disclosure.

[0104] The following additional notes are provided regarding the above-described embodiments. (((1))) a processor, the processor comprising: When input information including information about an inspection history, which is a history of inspection of printed matter, is input, new input information including information about a new inspection history is input to a trained model that has been trained in advance to output timing information regarding the time when the inspection history is referenced, and timing information corresponding to the new inspection history is output. Information processing system.

[0105] (((2))) The information about the inspection history includes information about the settings for inspecting the printed matter or information about the results of inspecting the printed matter. The information processing system according to (((1))).

[0106] (((3))) The information processing system according to ((1))) or ((2))), wherein the input information further includes information of a print job corresponding to the printed matter.

[0107] (((4))) The information about the print job includes information about settings of the print job or information about a status of the print job. The information processing system according to (((3))).

[0108] (((5))) The information processing system according to any one of ((1))) to ((4))), wherein the input information further includes information about a printing device that printed the printed matter.

[0109] (((6))) The information processing system according to any one of ((1))) to ((5))), wherein the input information further includes information relating to a time when a print job corresponding to the printed matter was executed.

[0110] (((7))) The processor inputs new input information including information about the new inspection history into the trained model at regular intervals or whenever the capacity of the stored inspection history exceeds a threshold, thereby outputting timing information corresponding to the new input information.

[0111] (((8))) The processor: If the time indicated by the time information corresponding to the new input information is before the time when the time information corresponding to the new input information was output, the inspection history corresponding to the new input information is deleted. The information processing system according to any one of (((1))) to (((7))).

[0112] (((9))) the processor outputs a notification regarding deletion of the inspection history corresponding to the new input information when the time indicated by the time information corresponding to the new input information is before the time when the time information corresponding to the new input information was output. The information processing system according to any one of (((1))) to (((7))).

[0113] (((10))) When input information including information about an inspection history, which is a history of inspection of printed matter, is input, new input information including information about a new inspection history is input to a trained model that has been trained in advance to output timing information regarding the time when the inspection history is referenced, and timing information corresponding to the new inspection history is output. An information processing program that causes a computer to perform certain tasks.

[0114] According to (((1))), it is possible to predict when the inspection history will be referenced.

[0115] According to (((2))), it is possible to predict when the test history will be referenced based on information about the test settings or test results.

[0116] According to (((3))), it is possible to predict the time when the inspection history will be referenced based on the information of the print job.

[0117] According to (((4))), it is possible to predict when the inspection history will be referenced, based on information about the settings of the print job or information about the status of the print job.

[0118] According to (((5))), it is possible to predict when the inspection history will be referenced based on information about the printing device.

[0119] According to (((6))), it is possible to predict when the inspection history will be referenced based on information about when the print job was executed.

[0120] According to (((7))), it is possible to predict when the inspection history will be referenced at the timing when the inspection history should be deleted.

[0121] According to (((8))), the inspection history can be deleted based on a prediction of when the inspection history will be referenced.

[0122] According to (((9))), it is possible to output a notification regarding the deletion of an inspection history based on a prediction of when the inspection history will be referenced.

[0123] According to (((10))), it is possible to predict when the inspection history will be referenced. [Explanation of symbols]

[0124] 10 Information Processing Systems 11 Management device 12 Printing device 13 Inspection equipment 14 client computers 24 Printing Department 46 Post-processing section 48 Inspection Department 101 Collection Department 102 Learning data storage unit 103 Learning Department 104 Model Memory Unit 105 Reception 106 Estimation part 107 Output section

Claims

1. a processor, the processor comprising: When input information including information about an inspection history, which is a history of inspections of printed materials, is input, new input information including information about a new inspection history is input to a trained model that has been trained in advance to output timing information regarding the time when the inspection history is referenced, and timing information corresponding to the new inspection history is output. Information processing system.

2. The information about the inspection history includes information about the settings for inspecting the printed matter or information about the results of inspecting the printed matter. The information processing system according to claim 1 .

3. The information processing system according to claim 1 , wherein the input information further includes information of a print job corresponding to the printed matter.

4. The information about the print job includes information about settings of the print job or information about a status of the print job.

4. The information processing system according to claim 3.

5. The information processing system according to claim 1 , wherein the input information further includes information about a printing device that printed the printed matter.

6. 2. The information processing system according to claim 1, wherein the input information further includes information regarding when a print job corresponding to the printed matter was executed.

7. The information processing system of claim 1, wherein the processor inputs new input information including information about the new inspection history into the trained model at regular intervals or whenever the capacity of the stored inspection history exceeds a threshold, thereby outputting timing information corresponding to the new input information.

8. The processor: If the time indicated by the time information corresponding to the new input information is before the time when the time information corresponding to the new input information was output, the inspection history corresponding to the new input information is deleted. The information processing system according to claim 1 .

9. the processor outputs a notification regarding deletion of the inspection history corresponding to the new input information when the time indicated by the time information corresponding to the new input information is before the time when the time information corresponding to the new input information was output. The information processing system according to claim 1 .

10. When input information including information about an inspection history, which is a history of inspections of printed materials, is input, new input information including information about a new inspection history is input to a trained model that has been trained in advance to output timing information regarding the time when the inspection history is referenced, and timing information corresponding to the new inspection history is output. An information processing program that causes a computer to perform certain tasks.

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