Information processing system and information processing program

Abstract

To provide an information processing system and information processing program for predicting occurrence of operational errors when an operator works on a print job on the basis of information on the print job and information on the operator working on the print job.SOLUTION: An estimation unit 106 inputs new input information, including information on a new print job and information on an operator working on the new print job, to a trained model pre-trained to output information on operational errors by an operator in a print job upon input of input information including information on the print job and information on the operator working on the print job, so as to output information on operating errors by the operator corresponding to the new input information.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 print ordering system that places an order for printing with a factory, which identifies the type and amount of paper used at the factory based on information collected from the factory to which the order is placed, and sends the identified type and amount of paper to the supplier of the paper used.

[0003] In a printing factory, the tasks of workers who operate printing machines include supplying printing paper, adjusting print quality, monitoring the stability of print quality, transporting and handing over printed materials to subsequent processes, supplying consumables such as toner or ink materials, and removing paper jams.Although printing machines have evolved to the point where they can be operated without requiring skill, they cannot completely prevent human error, and there are cases where a large number of printing defects occur.

[0004] For example, in printing forms, direct mail, securities, and other printing applications, the paper being supplied is pre-printed and further printing is performed on such paper. When loading such paper, the paper may be loaded in the wrong direction or upside down. If there is an error in the loading process and a large amount of paper is printed, a large amount of poorly printed material will have to be discarded. In the case of pre-printed paper such as securities or vouchers, the value of the paper can be high, and this loss can be a major problem.

[0005] A common way to prevent this phenomenon is to prompt the operator to confirm each time after loading paper by displaying a dialog box on the operation screen, such as "Is the orientation of the paper being loaded correct? (Y / N)." However, this increases the number of operations, and since these operations are repeated for each task, the operator may press the OK button without checking, which may reduce the effectiveness of preventing operator errors. It is preferable to predict the occurrence of operator errors and prompt the operator to check. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Patent Publication No. 2021-26535 Summary of the Invention [Problem to be solved by the invention]

[0007] Therefore, an object of the present disclosure is to provide an information processing system and an information processing program that can predict the occurrence of an operational error by a worker when the worker works on a print job. [Means for solving the problem]

[0008] In order to achieve the above object, the information processing system according to the first aspect includes a processor, and when the processor receives input information including information about a print job and information about a worker working on the print job, the processor inputs new input information including information about a new print job and information about the worker working on the new print job into a trained model that has been trained in advance to output information about operational errors made by the worker in the print job, thereby outputting information about operational errors made by the worker that correspond to the new input information.

[0009] An information processing system according to a second aspect is the information processing system according to the first aspect, wherein the information about the print job includes information about the type of printed material to be printed by the print job and information about the printing paper to be used for the print job.

[0010] An information processing system according to a third aspect is the information processing system according to the second aspect, wherein the information relating to the printing paper includes information relating to the type of the printing paper, the shape of the printing paper, or the characteristics of each side of the printing paper.

[0011] An information processing system according to a fourth aspect is the information processing system according to the first aspect, wherein the information about the worker includes biometric information about the worker, information about the worker's movements, information that identifies the worker, or information indicating the worker's work experience.

[0012] An information processing system according to a fifth aspect is the information processing system according to the first aspect, wherein the input information and the new input information further include information identifying a factory that processes the print job, or information regarding a printing device that processes the print job.

[0013] In an information processing system according to a sixth aspect, in the information processing system according to the first aspect, the information on the operator's operational error corresponding to the new input information includes the probability that the operator will make an operational error when working on the new print job.

[0014] An information processing system according to a seventh aspect is the information processing system according to the sixth aspect, wherein the processor issues a notification when the probability is equal to or greater than a predetermined threshold.

[0015] An information processing system according to an eighth aspect is the information processing system according to the first aspect, wherein the information on the operator's operational error corresponding to the new input information includes the type of operator's operational error that occurs in the new print job.

[0016] An information processing system according to a ninth aspect is the information processing system according to the eighth aspect, wherein the processor controls to make a notification according to the type of the operation error.

[0017] In an information processing system according to a tenth aspect, in the information processing system according to the first aspect, the information on the operator's operational error corresponding to the new input information includes the probability of each type of operator's operational error occurring in the new print job.

[0018] An information processing system according to an eleventh aspect is the information processing system according to the tenth aspect, wherein the processor issues a notification to the worker corresponding to a type of operation error whose probability is equal to or greater than a predetermined threshold.

[0019] An information processing program according to a twelfth aspect inputs input information including information about a print job and information about a worker performing work on the print job into a trained model that has been trained in advance to output information about an operation error made by the worker in the print job, and outputs information about the operation error made by the worker that corresponds to the new input information by inputting new input information including information about a new print job and information about the worker performing work on the new print job into the trained model. Make the computer do that. [Effects of the Invention]

[0020] According to the first aspect, it is possible to predict the occurrence of an operational error when a worker works on a print job, based on information about the print job and information about the worker who works on the print job.

[0021] According to the second aspect, it is possible to predict the occurrence of operational errors when a worker performs work on a print job, based on information about the type of print product and the printing paper.

[0022] According to the third aspect, it is possible to predict the occurrence of operational errors when an operator works on a print job, based on information relating to the type of printing paper, the shape of the printing paper, or the characteristics of each side of the printing paper.

[0023] According to a fourth aspect, the information about the worker includes biometric information about the worker, information about the movement of the worker, information that identifies the worker, or information that indicates the work experience of the worker.

[0024] According to the fifth aspect, it is possible to predict the occurrence of operational errors when a worker works on a print job, based on information identifying the factory where the printing will be performed or equipment information related to the printing device that will perform the printing.

[0025] According to the sixth aspect, it is possible to output the probability that an operator will make an operational error when working on a print job.

[0026] According to the seventh aspect, it is possible to prevent the worker from becoming accustomed to the notification, compared to a case where the probability of an operational error by the worker is not taken into consideration.

[0027] According to the eighth aspect, it is possible to predict the type of operational error that will occur when a worker performs work on a print job.

[0028] According to the ninth aspect, it is possible to give a notification according to the type of predicted operational error.

[0029] According to the tenth aspect, when an operator works on a print job, the probability of an operation error occurring can be output for each type of operation error.

[0030] According to the eleventh aspect, it is possible to prevent the worker from becoming accustomed to the notification, compared to a case where the probability of the worker making an operation error is not taken into consideration for each type of operation error.

[0031] According to the twelfth aspect, it is possible to predict the occurrence of an operational error when a worker works on a print job, based on information about the print job and information about the worker who works on the print job. [Brief explanation of the drawings]

[0032] [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

[0033] 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.

[0034] 1, an information processing system 10 according to this embodiment includes a management device 11, a printing device 12, and a client computer 14. The management device 11, the printing device 12, and the client computer 14 are connected to each other via a communication line 18 such as a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or an intranet. The management device 11, the printing device 12, 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.

[0035] Although FIG. 1 shows one management device 11, one printing device 12, and one client computer 14, there may be a plurality of each, or there may be a plurality of any of them.

[0036] 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 paper on which an image has been formed, 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.

[0037] 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.

[0038] 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.

[0039] 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).

[0040] 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.

[0041] 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, and the post-processing performed by the post-processing unit 46. 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) unit 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 a system bus 42.

[0042] 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, and post-processing unit 46 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.

[0043] In this embodiment, an example of an application stored in the HDD 26 includes an application that executes a function such as printing.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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.

[0048] 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.

[0049] 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.

[0050] The collection unit 101 collects learning data including pairs of past input information related to printing and information on operational errors made by workers that correspond to the input information.

[0051] The input information may include information about the print job, such as a photo book, a poster, a magazine, a flyer, an envelope, a business card, a catalog, a newspaper, etc.

[0052] The management device 11 has information relating to orders for printed materials and history information for managing production information.

[0053] The collection unit 101 collects the types of printed materials in past print jobs from the history information held by the management device 11.

[0054] The information about the print job may also include information about the printing paper, which may include information about the type of printing paper, information about the shape of the printing paper, or information about the characteristics of each side of the printing paper.

[0055] Specifically, information regarding the type of printing paper includes, for example, coated, matte, 90kg fine paper, 110kg fine paper, long 3 envelope (long size 3), long 4 envelope (long size 4), Western long 3 envelope (Western long size 3), square 3 envelope (square size 3), square 4 envelope (square size 4), bank transfer paper, report paper, regular postcards, reply postcards, New Year's postcards, etc.

[0056] The collection unit 101 acquires information about the type of printing paper from the history information held by the management device 11.

[0057] Information relating to the shape of the printing paper includes, for example, information indicating whether the shape of the printing paper differs left and right, whether the shape of the printing paper differs top and bottom, or information indicating the shape of the printing paper.

[0058] A sensor such as an imaging element or an image sensor provided in the printing device 12 is used to recognize whether the shape of the printing paper is different on the left and right or top and bottom, and the recognition result is stored in the history information held by the management device 11.

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

[0060] The information relating to the characteristics of each side of the printing paper includes, for example, information indicating whether the characteristics differ for each side of the printing paper, or information indicating the characteristics for each side of the printing paper.

[0061] A sensor provided in the printing device 12 that identifies the fibers on the front and back sides of the printing paper is used to identify the characteristics of each side of the printing paper, and information indicating whether the characteristics differ for each side of the printing paper is stored in the history information held by the management device 11.

[0062] The collection unit 101 acquires information about the characteristics of each side of the printing paper from the history information held by the management device 11.

[0063] The input information may also include information about the worker. Specifically, the information about the worker may include biometric information, movement information, identification information, or information indicating work experience related to the worker.

[0064] Biological information includes, for example, viewpoint behavior information, heart rate, body temperature, sleep time, calories burned, blood pressure, etc. Viewpoint behavior information includes, for example, the average, minimum, and maximum movement amount of the viewpoint per unit time. Heart rate, body temperature, and blood pressure are data during work. Sleep time is the sleep time the night before work, and calories burned is data up to the time of work.

[0065] The biological information is acquired using a wearable device (for example, a glasses-type device or a watch-type device) worn by the worker, and is stored in the history information held by the management device 11.

[0066] The collection unit 101 acquires biometric information of the worker from the history information held by the management device 11.

[0067] The movement information includes, for example, the cumulative amount of movement up to the time of the work, or the cumulative amount of movement up to the time of the work. The movement information is acquired using an acceleration sensor or a GPS sensor attached to the worker, and is stored in the history information held by the management device 11.

[0068] The collection unit 101 acquires information on the movements of the worker from the history information held by the management device 11.

[0069] The information indicating the worker's work experience includes, for example, the number of years of work experience and the worker's skills.

[0070] The planned and actual shift information of the workers and information indicating their work experience are managed by the management device 11, and the collection unit 101 acquires information identifying the workers and information indicating their work experience from the shift information held by the management device 11.

[0071] The input information may include information identifying the factory where the printing will occur.

[0072] Large-scale printing companies have multiple factories at their production bases. In such cases, information identifying the factory where printing will be performed is stored in the history information held by management device 11.

[0073] The collection unit 101 acquires, from the history information held by the management device 11, information for identifying the factory where printing will be performed.

[0074] The input information may include information about the printing device 12 that will perform printing. The information about the printing device 12 includes information that identifies the device, such as the device name and device ID. The information about the printing device 12 is stored in the history information held by the management device 11.

[0075] The collection unit 101 acquires information about the printing device 12 from the history information held by the management device 11.

[0076] Information on operational errors made by workers corresponding to past print jobs is managed as history information in the management device 11, and the collection unit 101 acquires information on operational errors from the management device 11.

[0077] Specifically, the information on the operation error includes information indicating whether an operator operation error has occurred or information indicating the type of operator operation error that has occurred. The types of operator operation errors include, for example, setting the paper in the wrong direction, setting the paper upside down, incorrect parameter setting when adjusting print quality (e.g., color), forgetting to perform an operation that should be performed (e.g., forgetting to feed paper), and performing an operation that should not be performed (e.g., stopping printing by mistake).

[0078] Information indicating whether an operator error has occurred may be obtained from the results of comparing the number of copies printed contained in the print job information in the history information held by the management device 11 with the number of times printing is performed in the manufacture of printed parts to create one product.

[0079] The learning data storage unit 102 stores a plurality of pieces of learning data collected by the collection unit 101.

[0080] The learning unit 103 receives input information based on a plurality of learning data and constructs a neural network model for estimating information about an operation error corresponding to the input information.

[0081] Specifically, the trained neural network model accepts input information including at least one of the type of printed matter, information about the type of printing paper, information about the shape of the printing paper, characteristic information for each side of the printing paper, biometric information about the worker, information about the worker's movements, information identifying the worker, information indicating the worker's work experience, information identifying the factory, and information about the printing device 12, and outputs information about operation errors that indicate at least one of the probability of an operation error by the worker occurring and the type of operation error in the print job corresponding 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 of learning data is input, information about the operation error in the learning data is output. The probability of an operation error occurring may be a numerical value indicating the probability (e.g., XX%) or a rank (e.g., large, medium, small).

[0082] More specifically, the input information of the learning data is used as an input, and information on an operation error is estimated as an output of the model. The estimated information on the operation error is compared with the information on the operation error of the learning data to calculate an error in the information on the operation error, and the parameters of the model may be updated so as to minimize the value of the error.

[0083] Here, the correlation between various information included in the input information and information about operation errors will be described.

[0084] First, the types of printed matter included in the input information include, for example, envelopes, which have a printing orientation on the address side, or direct mail, which has a printing orientation on the printing paper that is fixed. With such printed matter, there is a possibility that the printing paper orientation or side may be incorrect. Thus, there is a correlation between the type of printed matter and the likelihood of an operator making an operational error.

[0085] The information about the type of printing paper included in the input information includes, for example, pre-printed paper such as envelopes, direct mail, bank transfer forms, and slips, which are characterized by their orientation and side. With such printing paper, there is a possibility that the orientation or side of the printing paper may be incorrect. Thus, there is a correlation between the information about the type of printing paper and the possibility of an operator making an operational error.

[0086] Regarding the print paper shape information included in the input information, the shape of the print paper recognized by the sensor indicates that the job is one in which there is a possibility of an operator making an operational error. In this way, there is a correlation between the print paper shape information and the information on operational errors.

[0087] Regarding the characteristic information for each side of the printing paper included in the input information, a sensor is used to identify the characteristics for each side of the printing paper, and if it is found that the characteristics for each side of the printing paper are different, it is determined that the job is one in which there is a possibility of an operator error. In this way, there is a correlation between the characteristic information for each side of the printing paper and information about operation errors.

[0088] Regarding the gaze behavior information included in the input information, when there is abnormal gaze behavior, there is a higher possibility that the worker will not be able to make correct decisions or perform the correct work due to an increase in workload, poor health, stress, etc. In this way, there is a correlation between the gaze movement information included in the worker's biological information and information on operational errors.

[0089] The worker's biological information included in the input information, such as heart rate, body temperature, sleep time, calories burned, and blood pressure, can be used to measure the worker's fatigue level. If the worker's fatigue level is high, there is a higher chance that the worker will not be able to make correct decisions or perform the correct work. In this way, there is a correlation between the worker's biological information, such as heart rate, body temperature, sleep time, calories burned, and blood pressure, and information on operational errors.

[0090] The information on the worker's movements included in the input information allows us to understand the amount of movement the worker makes. When the amount of movement by the worker increases due to an increase in the workload, the possibility of not making the right decisions or performing the correct work increases. In this way, there is a correlation between the information on the worker's movements and the information on operational errors.

[0091] Regarding the information included in the input information that identifies the worker or indicates the work experience, the work experience of each worker varies, and the type and degree of errors that are likely to occur vary. Furthermore, the type and degree of errors that are likely to occur vary depending on the characteristics of the worker and the equipment. In this way, there is a correlation between the information that identifies the worker or indicates the work experience and the information on operational errors.

[0092] Regarding the factory identification information included in the input information, if the printing factory is a commercial printing factory or a form printing factory, the products produced will be different, and the types and degrees of operator errors will also be different. Thus, there is a correlation between the factory identification information and the information on operational errors.

[0093] Regarding the information about the printing device 12 included in the input information, the type and degree of errors that may occur will differ because the print paper transport direction, print surface orientation, and print setting method differ depending on the printing machine. In this way, there is a correlation between the information about the printing device 12 and the information about operational errors.

[0094] The model storage unit 104 stores a trained neural network model.

[0095] The receiving unit 105 receives input information related to a new print job to be estimated.

[0096] The input information includes the type of printed matter, such as a book, magazine, newspaper, business card, postcard, envelope, gift certificate, paper container, wrapping paper, beverage label, poster, etc. For example, the reception unit 105 receives the type of printed matter as "poster."

[0097] The input information may also include information about the printing paper. Specifically, the information about the printing paper may include information about the type of printing paper, information about the shape of the printing paper, or information about the characteristics of each side of the printing paper. For example, the receiving unit 105 receives information about the type of printing paper, "coated." The receiving unit 105 also receives a recognition result, recognized by a sensor provided in the printing device 12, that "the shape of the printing paper is different on the left and right sides," as information about the shape of the printing paper. The receiving unit 105 also receives a recognition result, recognized by a sensor provided in the printing device 12, that "the characteristics are different on each side of the printing paper," as information about the characteristics of each side of the printing paper.

[0098] The input information may also include information about the worker. Specifically, the information about the worker may include biometric information, movement information, identification information, or information indicating work experience about the worker.

[0099] More specifically, the biological information may include behavioral information of the viewpoint, heart rate, body temperature, sleep time, calories burned, and blood pressure. The receiving unit 105 receives, for example, behavioral information of the viewpoint, heart rate, body temperature, sleep time, calories burned, and blood pressure acquired using a wearable device worn by the worker.

[0100] The receiving unit 105 also receives information about the movement acquired using an acceleration sensor or a GPS sensor attached to the worker.

[0101] The receiving unit 105 also receives information for identifying the worker and information indicating the work experience, which are acquired from the shift information held by the management device 11.

[0102] The input information may include information identifying the factory where the printing will be performed. Specifically, the receiving unit 105 receives information identifying the factory where the printing will be performed, which is acquired from the management device 11.

[0103] The input information may also include information about the printing device 12 that will perform printing. Specifically, information about the printing device 12 that will perform printing, acquired from the management device 11, is accepted.

[0104] The estimation unit 106 uses the trained neural network model stored in the model storage unit 104 to estimate information about an operation error corresponding to the received input information.

[0105] Specifically, the estimation unit 106 converts various pieces of information contained in the received input information into a data structure (e.g., a scalar value, a vector, etc.) that can be input to a trained neural network model, inputs the data into the trained neural network model, and estimates information about the operation error from the output of the trained model.

[0106] The output unit 107 performs control so as to issue a notification according to the information on the estimated operation error. Specifically, if the probability of occurrence of an operation error included in the information on the estimated operation error is equal to or greater than a threshold, the output unit 107 displays a warning message on the user interface 22 of the printing device 12 or turns on a warning lamp provided on the printing device 12. A message according to the type of operation error included in the information on the estimated operation error may be used as the warning message. For example, if the type of operation error included in the information on the estimated operation error is "setting with paper orientation reversed," the output unit 107 displays a warning message saying "Please check the setting direction of the print paper."

[0107] Furthermore, if the probability of an operation error occurring contained in the estimated operation error information is equal to or greater than a threshold value, the output unit 107 may control the printing device 12 to print a few sheets of the printed matter for confirmation and then stop printing, and may also display a message to prompt the user to confirm the printing status of the output matter.

[0108] Furthermore, if the probability of an operation error occurring contained in the estimated operation error information is equal to or greater than a threshold value, the output unit 107 may display the print paper and printing status captured by a sensor within the printing device 12 on the user interface 22 of the printing device 12 for confirmation.

[0109] If the rank represents the probability of an operation error occurring, the output unit 107 may control the notification using a threshold value indicating the rank.

[0110] The output unit 107 may also notify the manager who manages the workers by displaying a message on a terminal operated by the manager.

[0111] Next, specific processing performed in the information processing system 10 according to this embodiment configured as described above will be described.

[0112] 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.

[0113] In step S100, the CPU 14A functions as the collection unit 101 to collect learning data including pairs of input information related to printing and information on operation errors corresponding to the input information, and stores the collected learning data in the learning data storage unit 102.

[0114] In step S102, the CPU 14A, as the learning unit 103, learns a neural network model for estimating information about an operation error corresponding to the input information based on a plurality of learning data, and stores the model in the model storage unit 104, thereby completing the learning process.

[0115] Next, in the client computer 14, the CPU 14A reads out the estimation program from the ROM 14B or the storage 14D, expands it into the RAM 14C, and executes it, thereby performing the estimation process shown in Fig. 7. At this time, it is assumed that various information included in the input information regarding the new print job to be estimated has been input.

[0116] In step S110, CPU 14A functions as reception unit 105 and receives input information about a new print job to be estimated, which is input by the user.

[0117] In step S112, the CPU 14A functions as the estimation unit 106 and uses the trained neural network model stored in the model storage unit 104 to estimate information about an operation error corresponding to the received input information.

[0118] In step S114, the CPU 14A as the output unit 107 determines whether the probability of occurrence of an operation error included in the information on the estimated operation error is equal to or greater than a threshold. If the probability of occurrence of an operation error included in the information on the estimated operation error is less than the threshold, the estimation process ends. On the other hand, if the probability of occurrence of an operation error included in the information on the estimated operation error is equal to or greater than the threshold, the process proceeds to step S116.

[0119] In step S116, the CPU 14A controls the output unit 107 to display a warning message on the user interface 22 of the printing device 12, and then ends the estimation process.

[0120] By performing this processing, it is possible to predict the occurrence of operational errors when a worker works on a print job, based on information about the print job and information about the worker who will work on the print job.

[0121] <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.

[0122] For example, the trained model may output the probability of each type of operation error by the operator occurring in a new print job for each type of operation error as the probability of occurrence of the operation error. In this case, the output unit 107 may issue a notification corresponding to the type of operation error whose probability is equal to or greater than a predetermined threshold.

[0123] In addition, although an example has been described in which various types of input information are accepted and information on an operation error 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 information on an operation error.

[0124] In addition, although the client computer 14 has been described as learning a model and estimating information about an operation error, it may be configured as a learning device that learns a model and an estimation device that estimates information about an operation error.

[0125] 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.).

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] The following additional notes are provided regarding the above-described embodiments. (((1))) a processor, the processor comprising: When input information including information about a print job and information about a worker who will work on the print job is input, new input information including information about a new print job and information about a worker who will work on the new print job is input to a trained model that has been trained in advance to output information about an operation error made by the worker in the print job, and the trained model outputs information about an operation error made by the worker that corresponds to the new input information. Information processing system.

[0131] (((2))) The information about the print job includes information about the type of printed matter to be printed by the print job and information about the printing paper to be used for the print job. The information processing system according to (((1))).

[0132] (((3))) The information about the printing paper includes information about the type of the printing paper, the shape of the printing paper, or the characteristics of each side of the printing paper. The information processing system according to (((2))).

[0133] (((4))) The information about the worker includes biometric information about the worker, movement information about the worker, information that identifies the worker, or information that indicates the worker's work experience. The information processing system according to any one of (((1))) to (((3))).

[0134] (((5))) the input information and the new input information further include information identifying a factory that will process the print job, or information about a printing device that will process the print job; The information processing system according to any one of (((1))) to (((4))).

[0135] (((6))) the information about the operation error by the worker corresponding to the new input information includes a probability that the operation error will occur when the worker performs work on the new print job; The information processing system according to any one of (((1))) to (((5))).

[0136] (((7))) The processor: When the probability is equal to or greater than a predetermined threshold, a notification is given. The information processing system according to (((6))).

[0137] (((8))) the information on the operator's operation error corresponding to the new input information includes a type of operator's operation error occurring in the new print job; The information processing system according to any one of (((1))) to (((7))).

[0138] (((9))) The processor controls to make a notification according to the type of the operation error. The information processing system according to (((8))).

[0139] (((10))) the information on the operator's operation error corresponding to the new input information includes a probability of occurrence of each type of operator's operation error occurring in the new print job; The information processing system according to any one of (((1))) to (((9))).

[0140] (((11))) The processor: a notification corresponding to the type of operation error whose probability is equal to or greater than a predetermined threshold is given to the worker; The information processing system according to (((10))).

[0141] (((12))) When input information including information about a print job and information about a worker who will work on the print job is input, new input information including information about a new print job and information about a worker who will work on the new print job is input to a trained model that has been trained in advance to output information about an operation error made by the worker in the print job, and the trained model outputs information about an operation error made by the worker that corresponds to the new input information. An information processing program that causes a computer to perform certain tasks.

[0142] According to (((1))), it is possible to predict the occurrence of operational errors when a worker works on a print job, based on information about the print job and information about the worker who will work on the print job.

[0143] According to (((2))), it is possible to predict the occurrence of operational errors when an operator works on a print job, based on information about the type of print and the printing paper.

[0144] According to (((3))), it is possible to predict the occurrence of operational errors when an operator works on a print job, based on information regarding the type of printing paper, the shape of the printing paper, or the characteristics of each side of the printing paper.

[0145] According to ((4))), the information about the worker includes biometric information about the worker, information about the worker's movements, information that identifies the worker, or information that indicates the worker's work experience.

[0146] According to (((5))), it is possible to predict the occurrence of operational errors when workers perform work on a print job, based on information identifying the factory where the printing will be performed or equipment information about the printing device that will perform the printing.

[0147] According to (((6))), it is possible to output the probability of an operation error occurring when an operator works on a print job.

[0148] According to (((7))), it is possible to prevent the worker from becoming accustomed to the notification, compared to when the probability of an operational error by the worker is not taken into consideration.

[0149] According to (((8))), it is possible to predict the types of operational errors that will occur when a worker works on a print job.

[0150] According to (((9))), it is possible to give a notification according to the type of predicted operation error.

[0151] According to (((10))), when an operator works on a print job, the probability of an operation error occurring can be output for each type of operation error.

[0152] According to (((11))), it is possible to prevent the worker from becoming accustomed to the notification, compared to a case where the probability of the worker making an operation error is not taken into consideration for each type of operation error.

[0153] According to (((12))), it is possible to predict the occurrence of operational errors when a worker works on a print job, based on information about the print job and information about the worker who will work on the print job. [Explanation of symbols]

[0154] 10 Information Processing Systems 11 Management device 12 Printing device 14 client computers 24 Printing Department 46 Post-processing section 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 a print job and information about a worker who will work on the print job is input, new input information including information about a new print job and information about a worker who will work on the new print job is input to a trained model that has been trained in advance to output information about an operation error made by the worker in the print job, and the trained model outputs information about an operation error made by the worker that corresponds to the new input information. Information processing system.

2. The information about the print job includes information about the type of printed matter to be printed by the print job and information about the printing paper to be used for the print job. The information processing system according to claim 1 .

3. The information about the printing paper includes information about the type of the printing paper, the shape of the printing paper, or the characteristics of each side of the printing paper.

3. The information processing system according to claim 2.

4. The information about the worker includes biometric information about the worker, movement information about the worker, information that identifies the worker, or information that indicates the worker's work experience.

2. The information processing system according to claim 1.

5. the input information and the new input information further include information identifying a factory that will process the print job, or information about a printing device that will process the print job; 2. The information processing system according to claim 1.

6. the information about the operation error by the worker corresponding to the new input information includes a probability that the operation error will occur when the worker performs work on the new print job; The information processing system according to claim 1 .

7. The processor: When the probability is equal to or greater than a predetermined threshold, a notification is given. The information processing system according to claim 6.

8. the information on the operator's operation error corresponding to the new input information includes a type of operator's operation error occurring in the new print job; The information processing system according to claim 1 .

9. The processor controls to make a notification according to the type of the operation error.

9. The information processing system according to claim 8.

10. the information on the operator's operation error corresponding to the new input information includes a probability of occurrence of each type of operator's operation error occurring in the new print job; The information processing system according to claim 1 .

11. The processor: a notification corresponding to the type of operation error whose probability is equal to or greater than a predetermined threshold is given to the worker; The information processing system according to claim 10.

12. When input information including information about a print job and information about a worker who will work on the print job is input, new input information including information about a new print job and information about a worker who will work on the new print job is input to a trained model that has been trained in advance to output information about an operation error made by the worker in the print job, and the trained model outputs information about an operation error made by the worker that corresponds to the new input information. An information processing program that causes a computer to perform certain tasks.

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