JP7484502B2 - Image forming system - Google Patents

Description

The present invention relates to an image forming system.

2. Description of the Related Art Conventionally, when an abnormality occurs in an apparatus or a trouble (event) for which a user requests improvement occurs, a system is known that provides help information as a countermeasure for each individual trouble.
For example, in an image forming device such as an MFP, multiple sensors can be installed inside the device to detect the status of each part of the device, the image being formed, the status of the sheet, etc., and appropriate solutions to any problems that arise can be displayed as help information.
For example, a configuration has been disclosed in which help content that a user is likely to want to display can be obtained and displayed by obtaining device status information that indicates the status of the device (see, for example, Patent Document 1).
Also, a configuration has been disclosed that makes it possible to display help information based on the settings of print items (see, for example, Japanese Patent Laid-Open No. 2003-233664).

JP 2019-164718 A JP 2019-164445 A

However, in the above-mentioned conventional technology, since the same detection information is always used, the solutions provided for the troubles are uniform, and appropriate help information (measures) may not be available.
For example, if the cause of a problem occurring in the market was not anticipated during product development (such as a user using their own paper, or changes in the device state depending on the user environment), the detection information required to analyze the problem may also differ from what was anticipated. On the other hand, if all the detection information is used, there will be a lot of noise, making it difficult to provide appropriate help.

The present invention aims to provide an image forming system that can propose appropriate countermeasures for problems or requests for operational improvements for which no predefined countermeasures have been established.

The invention described in claim 1 has been made to achieve the above object,
In an image forming system,
a reference information acquiring unit that acquires reference information including detection information corresponding to a state or a measurement value acquired by a plurality of sensors that are disposed within the device and acquire a state or a measurement value within the device;
a reception unit that receives event information indicating an event that has occurred in the device and requires improvement;
a countermeasure information output unit that outputs countermeasure information for the event based on the event information accepted by the accepting unit and the reference information acquired by the reference information acquiring unit;
an evaluation acquisition unit that acquires an evaluation of the countermeasure information output by the countermeasure information output unit;
a reference information determination unit that determines reference information to be referenced when outputting the countermeasure information based on the evaluation acquired by the evaluation acquisition unit;
Equipped with
The countermeasure information output unit selects reference information associated with the event information received by the receiving unit .

The present invention relates to an image forming system comprising:
The event information is characterized in that it is information about a trouble or inconvenience that has occurred in the device.

The present invention relates to an image forming system comprising:
The event information is characterized in that it is information regarding a paper jam in the device or information regarding productivity.

The invention described in claim 4 is the image forming system described in any one of claims 1 to 3,
The reception unit is characterized in that it receives the event information by one of obtaining event information that has occurred in the device, selecting from event candidates displayed on an operation panel, specifying by character input on the operation panel, and specifying by voice input.

The present invention relates to an image forming system comprising:
The reference information includes the detection information and machine and job setting information.

According to a sixth aspect of the present invention, there is provided an image forming system according to the fifth aspect,
The setting information includes at least one of paper information items including size, paper type, basis weight, stiffness, paper grain, surface glossiness, moisture content, and electrical resistance.

The present invention relates to an image forming system, comprising:
the plurality of sensors includes a media detection sensor that detects paper characteristic information;
The detection information includes paper characteristic information detected by the media detection sensor.

The invention described in claim 8 is the image forming system described in claim 7,
The paper characteristic information includes at least one physical property value of paper type, basis weight, stiffness, grain, surface gloss, moisture content, and electrical resistance.

The present invention relates to an image forming system comprising:
the plurality of sensors includes an environment detection sensor that detects temperature or humidity within the device;
The detection information includes an environmental measurement value detected by the environmental detection sensor.

The present invention as set forth in claim 10 provides the image forming system as set forth in any one of claims 1 to 9 ,
The countermeasure information output unit outputs the plurality of pieces of countermeasure information in descending order of the evaluation acquired by the evaluation acquisition unit.

The present invention as set forth in claim 11 provides the image forming system as set forth in any one of claims 1 to 10 ,
The countermeasure information output unit is characterized in that it outputs different contents to a user who is a user and a serviceman who performs maintenance.

The present invention as set forth in claim 12 provides the image forming system as set forth in any one of claims 1 to 11 ,
The system is characterized by including a countermeasure acquisition unit that acquires countermeasures implemented by a user or a service person.

According to a thirteenth aspect of the present invention, in the image forming system according to the twelfth aspect,
The countermeasure acquisition unit identifies the behavior and actions of the user or serviceman by specifying them from potential countermeasures displayed on an operation panel, by inputting text on the operation panel, by inputting voice, or by using an image or video of the user or serviceman, and acquires the identified behavior and actions as the countermeasure.

The invention described in claim 14 is the image forming system described in any one of claims 1 to 13 ,
a determination unit that determines whether the event has been resolved by the countermeasure information,
The evaluation acquisition unit is characterized in that it acquires an evaluation of the countermeasure information based on a result of the judgment by the judgment unit.

According to a fifteenth aspect of the present invention, in the image forming system according to the fourteenth aspect,
The judgment unit is characterized in that it judges that the issue has been resolved when it detects any one of the following: a decrease in the incidence of jams, an improvement in productivity, an improvement in poor image quality, a user's input of completion of countermeasures, an input of an improvement judgment, a predetermined number of sheets being printed, completion of a print job, start of a different print job, or a change in mode from maintenance mode to user mode.

The present invention relates to an image forming system according to claim 14 or 15 ,
The judgment unit judges the level of effectiveness of the countermeasure information based on one of the image improvement level, productivity improvement level, downtime reduction amount, and the improvement level, satisfaction level, time until completion of the countermeasure, and number of tasks input by the user, and judges whether the event has been resolved based on the determined level.

The present invention as set forth in claim 17 provides the image forming system as set forth in any one of claims 1 to 16 ,
The countermeasure information output unit inputs the event information accepted by the reception unit and the reference information acquired by the reference information acquisition unit, outputs countermeasure information for the event, and performs machine learning using an evaluation of the countermeasure information as a reward to generate a learning model.

The present invention makes it possible to propose appropriate countermeasures for problems or requests for operational improvements for which no countermeasures have been prescribed in advance.

1 is a diagram showing a schematic configuration of an image forming system according to an embodiment of the present invention; FIG. 2 is a functional block diagram showing a control structure of the image forming system according to the embodiment. 5 is a flowchart showing an example of an operation of the image forming system according to the present embodiment. 10A and 10B are diagrams illustrating a paper feeding operation by a paper feed tray. FIG. 13 is a diagram showing an example of a jam code display screen. FIG. 13 is a diagram illustrating an example of a trouble selection screen. FIG. 11 is a diagram illustrating an example of reference information. 13 is a flowchart showing an example of a countermeasure list determination and display process. FIG. 13 is a diagram illustrating the relationship between acquired reference information and each measure. FIG. 4 is a diagram showing an example of design values of air volumes of each fan. FIG. 13 is a diagram showing an example of a countermeasure candidate display screen on which countermeasure candidate 1 is selected. FIG. 13 is a diagram showing an example of a countermeasure candidate display screen on which countermeasure candidate 2 is selected. FIG. 13 is a diagram showing an example of a countermeasure candidate display screen on which countermeasure candidate 3 is selected. FIG. 2 is a diagram illustrating a configuration of a paper feed belt. FIG. 13 is a diagram showing an example of a countermeasure candidate display screen to which a "new addition" tab has been added. FIG. 13 is a diagram showing an example of a countermeasure registration screen. FIG. 13 is a diagram showing an example of a countermeasure candidate display screen on which countermeasure candidate 4 is selected. FIG. 13 is a diagram showing an example in which trouble information, reference information, countermeasure information, and evaluation information are stored as a set. 19 is a diagram showing an example of storing reference information different from the reference information shown in FIG. 18. FIG. 13 is a flowchart illustrating an example of a reference information determination process. FIG. 13 is a diagram showing an example in which a related parameter is added to update a countermeasure condition. FIG. 13 is a diagram showing an example in which a measure condition is updated by adding a related parameter when a new measure is added. FIG. 13 is a diagram illustrating an example of reference information related to each measure. FIG. 13 is a diagram illustrating an example of accumulated information and analysis results of measure 1. FIG. 13 is a diagram illustrating an example of accumulated information and analysis results of measure 2. FIG. 13 is a diagram illustrating an example of accumulated information and analysis results of measure 3. FIG. 13 is a diagram showing an example of a result of recalculation by adding an explanatory variable to measure 1.

The following describes in detail the embodiments of the present invention with reference to the drawings.

[1. Description of the configuration]
As shown in FIG. 1, the image forming system 1 of this embodiment is configured to include a paper feeding device 10, an image forming device 20 connected to the rear of the paper feeding device 10, an inserter 30 connected to the rear of the image forming device 20, an image inspection device 40 connected to the rear of the inserter 30, a purge unit 50 connected to the rear of the image inspection device 40, a cutting unit 60 connected to the rear of the purge unit 50, and a paper discharge unit 70 connected to the rear of the cutting unit 60.

The paper feed device 10 is called a PFU (Paper Feed Unit) and is equipped with a paper feed means consisting of multiple paper feed trays, paper feed rollers, separation rollers, paper feed/separation rubber, and feed rollers. Each paper feed tray stores paper by type (paper type, basis weight, paper size, etc.), and the paper is transported one sheet at a time from the top of the paper stack to the image forming device 20.

The image forming device 20 is configured with an intermediate transfer belt 21 that is endlessly stretched around in a circular shape, and image forming units 22 for the colors C (cyan), M (magenta), Y (yellow) and K (black) that are arranged along the intermediate transfer belt 21. The image forming units 22 superimpose the toner images of the colors CMYK on the intermediate transfer belt 21 to form a full-color toner image. The image forming device 20 then transfers the toner image formed on the intermediate transfer belt 21 onto paper conveyed from the paper feed tray 23, and then thermally fixes the toner image on the paper using the fixing device 24, and outputs the paper to a downstream device (here, the inserter 30). Note that the image forming device 20 is not limited to the tandem electrophotographic type as described above, and any method of forming an image on paper may be used.

The image forming apparatus 20 also includes an operation panel 25 .
The operation panel 25 includes a display unit 251 that displays various information to the user, and an operation unit 252 that accepts operation inputs from the user.
The display unit 251 is configured with a color liquid crystal display or the like, and displays operation screens and the like (various setting screens, various buttons, operation statuses of each function, and the like).
The operation unit 252 is configured to include a touch panel provided on the screen of the display unit 251 and various hard keys arranged around the screen of the display unit 251. A user can operate the operation unit 252 to perform settings related to image formation such as image quality settings, magnification settings, application settings, output settings, and paper settings, give paper transport instructions, and perform an operation to stop the device.

The inserter 30 feeds insertion sheets to the paper transport path between the image forming device 20 and the image inspection device 40. Specifically, the inserter 30 feeds insertion sheets (paper that does not require image formation, such as insert sheets, blank paper, and paper with an image already formed on it) stored in a paper feed tray 31 provided at the top to the transport path of the paper transported from the image forming device 20.

The image inspection device 40 is configured with a line sensor 41 that optically reads the paper transported from the inserter 30. The image inspection device 40 compares the reference image with an inspection image obtained by reading, with the line sensor 41, a paper on which an image corresponding to the reference image (an image substantially identical to the reference image) is formed, and inspects the inspection image.

The purge unit 50 transports paper whose print image is determined to be normal by the image inspection device 40 to the cutting unit 60, and ejects paper whose print image is determined to be abnormal by the image inspection device 40 onto the purge tray 51.

The cutting unit 60 cuts and divides the paper transported from the image inspection device 40. The cutting unit 60 is equipped with an FD cutting section 61 that cuts the edge of the paper in the FD direction (paper transport direction), a CD cutting section 62 that cuts the edge of the paper in the CD direction (paper width direction), a waste box 63 that collects cutting waste that falls downward when the paper is cut, a card tray 64 that stores paper cut to the size of a business card/card, and a sub-tray 65 that loads paper to be purged.

The paper discharge unit 70 includes a main tray 71 located at the most downstream position in the paper transport direction of the image forming system 1, and a sub-tray 72 located at the top of the paper discharge unit 70, and discharges the paper transported from the cutting unit 60.

As shown in FIG. 2, the image forming system 1 is configured to include a control unit 100, a detection unit 110, a reference information acquisition unit 120, a reception unit 130, a countermeasure information output unit 140, an evaluation acquisition unit 150, a reference information determination unit 160, and a storage unit 170.

The control unit 100 is configured with a CPU, RAM, ROM, etc., and controls each part of the image forming system 1 by reading and executing various programs from the ROM.

The detection unit 110 is disposed within a device (such as the image forming device 20) constituting the image forming system 1, and acquires the state or measured values within the device. The detection unit 110 is configured to include multiple sensors, such as a media detection sensor 111 that detects paper characteristic information, and an environment detection sensor 112 that detects the temperature or humidity within the device.

The reference information acquisition unit 120 acquires reference information including detection information corresponding to states or measurement values acquired by multiple sensors. The detection information includes paper characteristic information (including at least one physical property value of paper type, basis weight, stiffness, grain, surface glossiness, moisture content, and electrical resistance) detected by the media detection sensor 111, and environmental measurement values detected by the environment detection sensor 112. In addition to the detection information, the reference information also includes machine and job setting information. The setting information includes at least one paper information value of size, paper type, basis weight, stiffness, grain, surface glossiness, moisture content, and electrical resistance.

The receiving unit 130 receives event information indicating an event that has occurred in the device and requires improvement. The event information is trouble or inconvenience information that has occurred in the device, such as information about a paper jam in the device or information about productivity.
The receiving unit 130 receives event information by acquiring event information that has occurred in the device, by selecting from event candidates displayed on the operation panel 25, by inputting characters on the operation panel 25, or by inputting voice information.

The countermeasure information output unit 140 outputs countermeasure information for an event based on the event information accepted by the acceptance unit 130 and the reference information acquired by the reference information acquisition unit 120. The countermeasure information output unit 140 selects the reference information associated with the event information accepted by the acceptance unit 130.

The evaluation acquisition unit 150 acquires an evaluation of the countermeasure information output by the countermeasure information output unit 140 (whether the countermeasure is OK or NG).

The reference information determination unit 160 determines the reference information to be referenced when outputting countermeasure information, based on the evaluation acquired by the evaluation acquisition unit 150. Note that there may be one piece of reference information or multiple pieces of reference information. Furthermore, the reference information may be only detection information or only setting information, or may be a combination of detection information and setting information.

The storage unit 170 is a non-volatile storage device such as a hard disk drive (HDD) or semiconductor memory that stores various data such as programs and image data. The storage unit 170 stores data such as program data and various setting data in a manner that can be read and written by the control unit 100.

2. Description of Operation
Next, the operation of the image forming system 1 according to this embodiment will be described with reference to the flowchart of FIG.
3, the trouble will be described by taking as an example a paper feed jam that has occurred in the paper feed tray 23 of the image forming apparatus 20. The control unit 100 determines that a paper feed jam has occurred when the paper stored in the paper feed tray 23 does not reach the first NF sensor 232 (see FIG. 4) within a predetermined time after the paper is sent out.

First, as a premise, the paper feeding operation by the paper feed tray 23 will be described with reference to FIG.
First, when the paper P is loaded on the paper feed tray 23, a lift plate (not shown) arranged on the bottom surface of the paper feed tray 23 lifts the paper P to a position in front of the paper feed belt 231 arranged above the paper feed tray 23. Then, when a print job starts, a suction fan (not shown), a tip fan (not shown), and a side fan (not shown) built into the paper feed belt 231 operate to lift up several sheets of the loaded paper P, and the topmost paper P is stuck to the paper feed belt 231. Note that the arrow A1 in the figure indicates the flow of air caused by the suction fan, the arrow A2 indicates the flow of air caused by the tip fan, and the arrow A3 indicates the flow of air caused by the side fan. Next, the paper feed belt 231 operates to transport the topmost paper P to the outside of the paper feed tray 23. After the paper P transported to the outside of the paper feed tray 23 reaches the NF sensor 232 arranged downstream in the transport direction of the paper feed tray 23, it is transported along the transport path by transport rollers (not shown) and an image is formed. In the case of continuous transport, this process is repeated, and when the previous paper is detected by an exit sensor (not shown) arranged next to the NF sensor 232, the paper feed belt 231 is operated to feed the next paper P. The air volume of the suction fan, tip fan and side fan is determined mainly according to the basis weight of the paper P.
The operation of the image forming system 1 will be described below with reference to FIG.

First, the control unit 100 determines whether or not a trouble such as a paper feed jam or a malfunction has been detected (step S101). Specifically, the control unit 100 determines whether or not event information has been received by the receiving unit 130.
For example, the reception unit 130 receives the occurrence of a paper feed jam (trouble) when the paper does not reach the NF sensor 232 within a predetermined time after the paper feed belt 231 starts operating. For example, assuming that the design value for the paper to reach the NF sensor 232 after the paper feed belt 231 starts operating from the paper stacking position is 200 ms, the reception unit 130 receives the occurrence of a paper feed failure (paper feed jam) when the paper does not reach the NF sensor 232 even after 500 ms has elapsed. When the reception unit 130 receives a paper feed jam, the control unit 100 causes the display unit 251 to display a jam code display screen G1 for displaying a corresponding jam code (e.g., J-1601) (see FIG. 5). When a user wants to take measures after a trouble occurs, the user presses the troubleshoot button B1 on the screen (e.g., jam code display screen G1) displayed on the display unit 251.

When the control unit 100 determines that a trouble has been detected (step S101: YES), the process proceeds to the next step S102.
On the other hand, when the control unit 100 determines that no trouble has been detected (step S101: NO), the process proceeds to step S103.

In step S102, the control unit 100 stores the trouble information and reference information (detection information and setting information) at the time of the trouble occurrence in the memory unit 170.

In step S103, the control unit 100 stores the reference information (detection information, setting information) during normal operation in the storage unit 170. The control unit 100 stores the data when the detection information or setting information changes.

Next, the control unit 100 determines whether or not the user has pressed the troubleshooting button (step S104).
Here, for example, if a paper feed jam has occurred immediately before, as in the case shown in Figure 5, the control unit 100 also recognizes that a problem (paper feed jam) has occurred, and when the troubleshooting button B1 is pressed in this state, the screen transitions to a screen for dealing with the paper feed jam.

When the control unit 100 determines that the troubleshooting button has been pressed (step S104: YES), the control unit 100 proceeds to the next step S105.
On the other hand, when it is determined that the troubleshooting button has not been pressed (step S104: NO), the control unit 100 determines whether or not the trouble has been resolved (step S106).
If the control unit 100 determines that the trouble has been resolved (step S106: YES), the process ends.
On the other hand, if the control unit 100 determines that the trouble has not been resolved (step S106: NO), the control unit 100 proceeds to step S104 and repeats the process of step S104 again.

In step S105, the control unit 100 determines whether or not a trouble has occurred immediately before.
When the control unit 100 determines that a trouble has occurred immediately before (step S105: YES), the process proceeds to step S107.
On the other hand, if the control unit 100 determines that no trouble has occurred immediately before (step S105: NO), the process proceeds to step S108.

In step S107, the control unit 100 acquires the trouble information stored in the memory unit 170 in step S102. For example, if a paper feed jam including J-1601 has occurred, the occurrence of the paper feed jam is acquired as trouble information.

In step S108, the control unit 100 performs a trouble information identification process. Specifically, the control unit 100 displays a trouble selection screen G2 (see FIG. 6) for identifying a trouble on the display unit 251, accepts an input (selection) by the user, and identifies (acquires) trouble information including the problem. For example, if the user is dissatisfied with productivity due to a long warm-up time, the user selects "Productivity" -> "Long warm-up time" and presses the OK button B2.

Next, the control unit 100 selects reference information (detection information, setting information) corresponding to the trouble information acquired in step S107 or step S108 (step S109).
For example, the detection information includes media detection information (basis weight, surface glossiness, water content) detected by the media detection sensor 111 and humidity detected by the environment detection sensor 112 (see FIG. 7). Also, the setting information includes the air volume of the tip fan and side fan (see FIG. 7).

Next, the control unit 100 controls the countermeasure information output unit 140 to perform countermeasure list determination and display processing that outputs countermeasure information for the event (step S110). The countermeasure list determination and display processing will be described below with reference to the flowchart in FIG. 8.

[Countermeasures list determination and display process]
First, the countermeasure information output unit 140 acquires a countermeasure list including a plurality of countermeasure candidates corresponding to the type of trouble information acquired in step S107 or step S108 (step S201).

Next, the countermeasure information output unit 140 acquires reference information (detection information, setting information) related to each countermeasure in the countermeasure list (Step S202).
For example, in the case of J-1601 (paper feed jam where paper does not come out of the paper feed tray 23), as shown in Fig. 9, the reference information shown in Fig. 7 is set to display countermeasures in advance. Here, the ideal air volume of each fan for the basis weight of the paper is predetermined by design (see Fig. 10), but since there are various types of paper, paper feed jams may easily occur with the air volume determined in advance by the design value. Therefore, as shown in Fig. 9, the description of each fan (tip fan, side fan) in each countermeasure is set to obtain the air volume setting (range) where countermeasures are considered necessary based on the detected basis weight.

Next, the countermeasure information output unit 140 checks the reference information (parameters) acquired in step S202, and assigns a score based on the number of parameters for which the countermeasure is determined to be effective (step S203).
For example, in the example shown in Fig. 9, measures 1 to 3 are registered in advance as measures against paper feed jams, and the reference information (parameter) for each registered measure is checked to see if it matches the design value. For example, for the tip fan of measure 1 (increase in air volume of tip fan), the air volume value (30%) is the same as the design value (30%: see Fig. 10), so the score is set to 0. For the side fan of measure 2 (increase in air volume of side fan), the air volume value (40%) is different from the design value (50%: see Fig. 10), so the measure is judged to be effective and the score is set to 1. For measure 3 (dehumidification), the values of both the moisture content and humidity of the paper are low, which is the opposite of the measure condition (high), so the score is set to -1 x 2 = -2.

Next, the countermeasure information output unit 140 displays the multiple countermeasures on the display unit 251 in descending order of score (step S204). When multiple countermeasures have the same score, they are displayed in descending order of evaluation (highest proportion of evaluations OK).
For example, in the example shown in FIG. 9, measures are displayed on the display unit 251 in the order of the points: measure 2 (1 point), measure 1 (0 point), and measure 3 (-2 points).

Fig. 11 shows a countermeasure candidate display screen G31 that displays countermeasure 2 (increase in side fan airflow) as countermeasure candidate 1, Fig. 12 shows a countermeasure candidate display screen G32 that displays countermeasure 1 (increase in tip fan airflow) as countermeasure candidate 2, and Fig. 13 shows a countermeasure candidate display screen G33 that displays countermeasure 3 (dehumidification) as countermeasure candidate 3. The screens shown in Figs. 11 to 13 can be switched by selecting tabs T1 to T3 at the top.
In Figure 11, the user can change the airflow of the side fans, in Figure 12, the user can change the airflow of the front fan, and in Figure 13, the user can change the dehumidification settings.
In addition, in FIG. 11 to FIG. 13, the user can continue printing by pressing the continue printing button B3.
In addition, buttons (Yes button B4, No button B5) are provided on each screen shown in FIG. 11 to FIG. 13 to allow the user to input an evaluation (whether or not the countermeasure was implemented). When the Yes button B4 or the No button B5 is pressed, a pop-up message asking "Do you want to return to the normal print screen?" is displayed. When "Yes" is selected, the screen returns to the normal print screen.

Returning to the flowchart in FIG. 3, the control unit 100 determines whether or not new measures have been input (step S111).

Here, an example of inputting (registering) a new countermeasure will be described. In the explanation so far, the priority was determined from three types of countermeasures, countermeasures 1 to 3, which are registered in advance. However, in reality, there are cases where an effective countermeasure is discovered other than the countermeasures registered in advance. For example, an example will be described in which it is found that cleaning the paper feed belt 231 (see FIG. 14), which is composed of the suction belt 231a, suction fan 231b, and suction sensor 231c, is effective as a countermeasure against paper feed jams.
As in the examples described so far, when a paper feed jam is detected, a countermeasure candidate is determined according to the reference information (detection information and setting information) at that time. If the user does not improve the situation even after implementing some of the countermeasure candidates, the user will contact a service person to request a response. Here, the service person checks the state of the paper feed tray 23, and confirms that, for example, the suction power of the suction belt 231a has decreased due to paper dust or other dirt clogging the hole of the intake port for paper suction formed in the suction belt 231a, and cleans that part. Then, it is assumed that the suction power of the suction belt 231a is restored and the paper feed jam is resolved as a result of the service person's response.

In this embodiment, as described above, when a new countermeasure that is not included in the countermeasure candidates is implemented and an effect is obtained, a mechanism is provided that allows the implemented countermeasure to be registered. Specifically, after the implementation of a new countermeasure, the "New Addition" tab T10 on the countermeasure candidate display screen G4 (see FIG. 15) is selected to display the countermeasure registration screen G5 (see FIG. 16) on the display unit 251, and the countermeasure content is selected. In the countermeasure registration screen G5, items related to the maintenance of the machine are categorized and listed in advance, and a selection is made from the maintenance list. For example, "cleaning", "adjustment", "replacement", "tray operation", "setting change", and "new input" are provided as major items, and when the cleaning button B61 is pressed, a list for specifying the cleaning location ("tray", "main body transport", "drum/belt", "development", "fixing", "paper discharge section", and "new input") is displayed. Next, when the tray button B62 is pressed, a list for specifying the cleaning location in the paper feed tray 23 ("paper feed belt", "exit roller", "suction sensor", "NF sensor", and "new input") is displayed. For example, if the measure to be registered is "cleaning the suction belt 231a," select the cleaning button B61, the tray button B62, and then the paper feed belt button B63. After selecting the measure, pressing the register button B7 registers it as a new measure candidate (measure candidate 4 in this case). Here, when the tab T4 for measure candidate 4 is selected, the measure candidate display screen G6 (see FIG. 17) for measure candidate 4 is displayed, and the content of the newly registered measure (clean the paper feed belt of the tray) is displayed.
If an item corresponding to the content of the countermeasure you wish to register does not exist in the preset maintenance list, you can add the item to the corresponding list by pressing the new input button B81-B83 of the corresponding list on the countermeasure registration screen G5 (see Figure 16) to display a pop-up screen into which you can directly input characters, and then entering the item in the pop-up screen.

When the control unit 100 determines that a new measure has been input (step S111: YES), the control unit 100 proceeds to the next step S112.
On the other hand, if the control unit 100 determines that no new countermeasure has been input (step S111: NO), the process proceeds to step S113.

In step S112, the control unit 100 stores the input new countermeasure in the storage unit 170. That is, the control unit 100 functions as a countermeasure acquisition unit of the present invention that acquires the countermeasure implemented by the user or serviceman. Specifically, the control unit 100 identifies the behavior and action of the user or serviceman by designating from countermeasure candidates displayed on the operation panel 25 (display unit 251) or by designating by character input on the operation panel 25, and acquires the identified behavior and action as the countermeasure (content). Note that the behavior and action of the user or serviceman may be designated by voice input, or identified by an image or video captured of the user or serviceman.

Next, the control unit 100 judges whether the input of the evaluation of the countermeasure is completed (step S113). For example, the control unit 100 judges that the input of the evaluation is completed when the user inputs the evaluation (presses the Yes button B4 or the No button B5) on each screen shown in FIG.
The control unit 100 then refers to the input information and judges whether the problem (event) has been resolved by the countermeasure information. That is, the control unit 100 functions as a judgment unit of the present invention. The evaluation acquisition unit 150 then acquires an evaluation (OK/NG) for the countermeasure information based on the judgment result.
In addition, when determining whether a trouble (event) has been resolved, the control unit 100 may determine that the event has been resolved when it detects any one of the following: a decrease in the incidence of jams, an increase in productivity, an improvement in poor image quality, a predetermined number of pages being printed, the completion of a print job, the start of a different print job, or a change in mode from maintenance mode to user mode, in addition to the user inputting a completion of countermeasures or an improvement judgment.
In addition, when determining whether a trouble (event) has been resolved, the control unit 100 may determine the level of effectiveness of the countermeasure information based on any one of the image improvement level, productivity improvement level, amount of downtime reduction, and the improvement level, satisfaction level, time until completion of the countermeasure, and number of tasks input by the user, and may determine whether the event has been resolved based on the determined level.

When the control unit 100 determines that the input of the evaluation of the countermeasure is completed (step S113: YES), the control unit 100 proceeds to the next step S114.
On the other hand, if the control unit 100 determines that the input of the evaluation of the countermeasure has not been completed (step S113: NO), the control unit 100 repeats the process of step S113 until it determines that the input of the evaluation of the countermeasure has been completed.

Next, the control unit 100 performs an information storage process (step S114). Specifically, as shown in FIG. 18, the control unit 100 stores the input evaluation information, trouble information, reference information (detection information and setting information), and countermeasure information as a set in the storage unit 170, and continues to accumulate them thereafter. Note that the detection information and setting information also include information that is not associated with the type of trouble or countermeasure.

Next, the control unit 100 controls the reference information determination unit 160 to perform a reference information determination process that determines the reference information to be referenced when outputting the countermeasure information based on the evaluation acquired by the evaluation acquisition unit 150 (step S115).

In the control up to step S114, countermeasures are presented from reference information that is predetermined according to the trouble information. However, this alone only allows for countermeasures to be proposed according to information that is known in advance, making it difficult to optimize the priority of countermeasure candidates according to how the product is used in the market. Therefore, the priority is optimized by using detection information that is not used to determine the countermeasure candidates.
In step S115, the trouble information, reference information (detection information and setting information), countermeasure information, and evaluation information are stored as a set in the storage unit 170 (see FIG. 18), but other reference information is also linked and accumulated in addition to these pieces of information. Here, the other reference information is, for example, information such as paper width, paper length, time from the start of paper feed to the first sensor (first NF sensor 232), double feed detection results, paper guide plate width detection (see FIG. 19), paper floating time, humidity, etc. The information shown in FIG. 19 is stored as reference information for paper feed jams, and differs depending on the trouble information.
The reference information determination process will be described below with reference to the flowchart of FIG.

[Reference Information Determination Process]
First, the control unit 100 judges whether or not there is a singularity in the parameters (reference information) stored at the time of the occurrence (input) of the trouble (step S301). Here, a singularity is a value that indicates an abnormal state, such as a value that deviates from a design value by a predetermined amount or more, or a value that is close to the upper or lower limit of the distribution of the acquired information (for example, a value included in the upper limit 5% or the lower limit 5%).

Here, the data of No. 4 (evaluated as NG) and No. 5 (evaluated as OK) in FIG. 18 are compared. According to the predetermined reference information, measure 2 is set as measure candidate 1 (see FIG. 11), but in the example shown in FIG. 18, measure 2 (No. 4) is evaluated as NG, and measure 1 (No. 5) is evaluated as OK. Therefore, separately stored information (see FIG. 19) is compared. The design value of the time from the start of paper feed to the first sensor is known to be 200 ms, and No. 4 and No. 5 are 400 ms, which is twice the design value. If data with values that deviate from the design value, such as 1.3 times the design value (200 x 1.3 = 260 ms) or more, is judged to be a singular point, the time from the start of paper feed to the first sensor is extracted as a singular point. In other words, the information that was evaluated as OK using the parameters extracted as singular points (time from the start of paper feeding to the first sensor) is added as new reference information to the measure that was evaluated as OK (measure 1), and the measure conditions are updated (see Figure 21).

When the control unit 100 determines that a singular point exists (step S301: YES), the control unit 100 proceeds to the next step S302.
On the other hand, if the control unit 100 determines that there is no singular point (step S301: NO), the process ends.

Next, the control unit 100 judges whether the parameter judged to have a singularity in step S301 is correlated with the evaluation result for a specific measure (step S302). Specifically, the control unit 100 calculates a correlation coefficient between the parameter judged to have a singularity in step S301 and the evaluation result when OK=1 and NG=0, and judges that there is a correlation with the evaluation result when the correlation coefficient is a predetermined value or more (for example, when the correlation coefficient is 0.7 or more).
When the control unit 100 determines that there is a correlation between the evaluation result and the specific measure (step S302: YES), the control unit 100 proceeds to the next step S303.
On the other hand, when the control unit 100 determines that there is no correlation between the evaluation result and the specific measure (step S302: NO), the control unit 100 ends the process.

Next, the control unit 100 registers the parameters that are determined to have a singularity in step S301 and that are determined to have a correlation with the evaluation result in step S302 as parameters related to the specific measure (related parameters) (step S303). In the next process, when recalculating the score of the specific measure, if it is determined that the parameters registered in step S303 have a singularity, it is determined that the features match, and the score is added.
21, measures 1 and 2 are given 1 point, and measure 3 is given -2 points. If the scores are the same, the evaluation results of past information are checked, and if there are multiple items from the accumulated information that fit the same conditions as this time, the one with a higher rate of OK evaluations is displayed preferentially. For example, if the basis weight range, air volume setting, and time conditions from the start of paper feed to the first sensor are the same, and measure 1 has an 80% chance of being evaluated as OK and measure 2 has a 30% chance of being evaluated as OK, measure 1 is displayed preferentially.
In this example, we have shown a control that adds a new parameter (reference information) for determining countermeasures: "time from start of paper feed to first sensor." The added parameter is used to control the selection of countermeasure candidates thereafter, but if it turns out that there is no correlation between the parameter and the evaluation as data is accumulated, the parameter can be deleted since it will be a cause of erroneous judgment.

In addition, when a new countermeasure candidate (countermeasure 4) is added, related parameters (reference information) may be added. For example, when printing starts, the suction fan, the front fan, and the side fan are operated based on the paper information to adsorb the paper loaded on the paper feed tray 23 to the paper feed belt 231. For example, if the paper takes time to float due to insufficient suction power of the suction fan, the time from turning on the suction fan to turning on the suction sensor is measured, and if the time is 1.3 times (1000 x 1.3 = 1300 ms) or more than the design value (1000 ms), the "time from turning on the suction fan to turning on the suction sensor" is extracted as a singular point. Then, the "time from turning on the fan to turning on the suction sensor" extracted as the singular point is newly added as a related parameter (reference information) (see FIG. 22).
22, if the points are assigned with reference to the related parameters, measures 1 and 2 will receive 0 points, measure 3 will receive -2 points, and measure 4 will receive 1 point. Therefore, in this case, measure 4 will be displayed with priority.

As described above, the image forming system 1 according to this embodiment includes a reference information acquisition unit 120 that acquires reference information including detection information corresponding to a state or measurement value acquired by a plurality of sensors that are arranged within the apparatus and acquire a state or measurement value within the apparatus, a reception unit 130 that accepts event information indicating an event that has occurred in the apparatus and requires improvement, a countermeasure information output unit 140 that outputs countermeasure information for the event based on the event information accepted by the reception unit 130 and the reference information acquired by the reference information acquisition unit 120, an evaluation acquisition unit 150 that acquires an evaluation of the countermeasure information output by the countermeasure information output unit 140, and a reference information determination unit 160 that determines reference information to be referenced when outputting the countermeasure information based on the evaluation acquired by the evaluation acquisition unit 150.
Therefore, according to the image forming system 1 of this embodiment, the information to be referenced from the next time onwards can be updated based on the evaluation of the countermeasures, so that appropriate countermeasures can be proposed for problems or requests for operational improvement for which no countermeasures have been prescribed in advance.

Furthermore, in the image forming system 1 according to the present embodiment, the event information is information about a trouble or inconvenience that has occurred in the apparatus, or information about a paper jam in the apparatus or information about productivity.
Therefore, according to the image forming system 1 of this embodiment, it is possible to output countermeasure information for an event that has occurred within the apparatus and requires improvement, and therefore it is possible to propose an appropriate countermeasure method as necessary.

Furthermore, according to the image forming system 1 of this embodiment, the reception unit 130 receives event information by either acquiring event information that has occurred in the device, selecting from event candidates displayed on the operation panel 25, specifying by character input on the operation panel 25, or specifying by voice input.
Therefore, according to the image forming system 1 according to the present embodiment, events occurring within the apparatus can be accepted flexibly, and appropriate countermeasures can be proposed as necessary.

According to the image forming system 1 of the present embodiment, the reference information includes the detection information and the setting information of the machine and the job. The setting information includes at least one of the paper information items including the size, the paper type, the basis weight, the stiffness, the grain, the surface glossiness, the moisture content, and the electric resistance.
Therefore, according to the image forming system 1 of this embodiment, it is possible to refer to a wide range of setting information related to events that occur within the device, and therefore it is possible to propose appropriate countermeasures as necessary.

Furthermore, according to the image forming system 1 of this embodiment, the multiple sensors include a media detection sensor 111 that detects paper characteristic information, and the detection information includes the paper characteristic information detected by the media detection sensor 111. Furthermore, the paper characteristic information includes at least one physical property value of the paper type, basis weight, stiffness, paper grain, surface gloss, moisture content, and electrical resistance. Furthermore, the multiple sensors include an environment detection sensor 112 that detects the temperature or humidity inside the device, and the detection information includes an environment measurement value detected by the environment detection sensor 112.
Therefore, according to the image forming system 1 of this embodiment, it is possible to refer to a wide range of detection information related to events that occur within the device, and therefore it is possible to propose appropriate countermeasures as necessary.

Furthermore, in the image forming system 1 according to the present embodiment, the countermeasure information output unit 140 selects the reference information associated with the event information accepted by the accepting unit 130 .
Therefore, according to the image forming system 1 of this embodiment, it is possible to select and refer to reference information related to an event that has occurred within the apparatus, and therefore it is possible to propose an appropriate countermeasure method.

Furthermore, according to the image forming system 1 of this embodiment, the countermeasure information output unit 140 outputs a plurality of pieces of countermeasure information in descending order of the evaluation acquired by the evaluation acquisition unit 150 .
Therefore, according to the image forming system 1 according to the present embodiment, the user can easily recognize measures that are likely to be effective, making it easier for the user to select an appropriate measure.

Furthermore, the image forming system 1 according to the present embodiment includes a countermeasure acquisition unit (control unit 100) that acquires countermeasures implemented by a user or a serviceman. The countermeasure acquisition unit identifies the behavior and action of the user or serviceman by designating the behavior and action from countermeasure candidates displayed on the operation panel 25, designating the behavior and action by inputting characters or voice on the operation panel 25, or designating the behavior and action by taking an image or video of the user or serviceman, and acquires the identified behavior and action as a countermeasure.
Therefore, according to the image forming system 1 of this embodiment, it is possible to obtain newly implemented countermeasures, making it possible to adopt countermeasures that were effective against an incident, and subsequently to propose more appropriate countermeasure methods.

Moreover, the image forming system 1 according to the present embodiment includes a determination unit (control unit 100) that determines whether the countermeasure information has resolved the event, and the evaluation acquisition unit 150 acquires an evaluation of the countermeasure information based on the result of the determination by the determination unit. The determination unit determines that the event has been resolved when it detects any one of the following: a decrease in the occurrence rate of jams, an improvement in productivity, an improvement in poor image quality, an input of the completion of the countermeasure by the user, an input of an improvement judgment, a predetermined number of sheets being printed, a completion of a print job, a start of a different print job, and a change in mode from the maintenance mode to the user mode. The determination unit determines the level of the effect of the countermeasure information based on the image improvement level, the productivity improvement level, the amount of downtime reduction, and any one of the improvement level, satisfaction level, time until the countermeasure is completed, and the number of tasks input by the user, and determines whether the event has been resolved based on the determined level.
Therefore, according to the image forming system 1 of this embodiment, by determining whether the event has been resolved by implementing the countermeasure, it is possible to determine whether or not the countermeasure has been effective and what its level of effectiveness is, thereby making it possible to obtain an appropriate evaluation of the countermeasure.

The above is a detailed explanation based on an embodiment of the present invention, but the present invention is not limited to the above embodiment and can be modified without departing from the gist of the invention.

For example, in the example shown in FIG. 17, all of countermeasure candidates 1 to 4 are displayed, but the present invention is not limited to this. For example, countermeasure 4 (cleaning the paper feed belt of the tray) can be implemented by a serviceman, but from the viewpoint of safety, the user should not be prompted to take action. Therefore, when registering a countermeasure, it may be possible to select whether to make it public only to the serviceman or to make it public to the user as well. In other words, different contents (countermeasure information) may be output for the user who is using the device and the serviceman who performs maintenance. In the case of a countermeasure that is publicly available only to the serviceman, it is not displayed when the user is using the device, but is displayed only when an input is made indicating that the operation is to be performed by the serviceman.
As described above, the countermeasure information output unit 140 can output different content for the user who is using the device and the service technician who performs maintenance, thereby allowing the output to take into consideration the safety of the countermeasures, thereby ensuring the safety of the user.

Also, event information (trouble information) and reference information may be input, countermeasure information for the event (trouble) may be output, and machine learning may be performed using the evaluation of the countermeasure information as a reward to generate a learning model. That is, the effectiveness of the countermeasure may be calculated by machine learning based on the trouble information, reference information (detection information, setting information), countermeasure, and evaluation result. This is a calculation of the effectiveness of the countermeasure against the trouble, where reference information (detection information, setting information) is input, and a case where the countermeasure is effective (when the evaluation is OK) is output.
As described above, the countermeasure information output unit 140 receives the event information accepted by the accepting unit 130 and the reference information acquired by the reference information acquiring unit 120, outputs countermeasure information for the event, and performs machine learning using the evaluation of the countermeasure information as a reward to generate a learning model, thereby automatically calculating the effectiveness of countermeasures for the event and preferentially outputting those countermeasures with a high probability of being successful, thereby making it easier for the user to select appropriate countermeasures.

For example, as shown in Fig. 23, the parameters set as "target" for each measure are reference information related to each measure. Here, a logistic regression analysis is performed based on information accumulated in the past.
Here, the objective variable is set to evaluation OK=1 and evaluation NG=0, and the explanatory variable is set to reference information (detection information, setting information).
Based on the information (reference information) accumulated when a paper feed jam occurs, the effectiveness of each countermeasure is calculated. Specifically, the logistic regression method is used to calculate the probability (estimate) that each countermeasure is successful based on the related parameters of the countermeasure.

FIG. 24 shows an example of the accumulated information and analysis results of measure 1.
The probability (estimated value) R1 that the measure 1 is successful is calculated using the following formula (1).
R1 = 1 / (1 + e ^{- (0.0910 * basis weight - 0.3324 * air volume (tip) + 1.8530)} ) ... (1)

FIG. 25 shows an example of the accumulated information and analysis results of measure 2.
The probability (estimated value) R2 that measure 2 is successful is calculated using the following formula (2).
R2 = 1 / (1 + e ^{- (-0.0244 * basis weight + 0.0667 * air volume (side) - 0.5539)} ) ... (2)

FIG. 26 shows an example of the accumulated information and analysis results of measure 3.
The probability (estimated value) R3 that measure 3 is successful is calculated using the following formula (3).
R3 = 1 / (1 + e ^{- (-0.0194 * surface gloss - 0.0181 * water content + 0.0667 * humidity - 1.9855)} ) ... (3)

As described above, the probability (estimated value) that the countermeasure will be successful is calculated for each countermeasure. Then, from the next time a problem occurs, the probability that the countermeasure will be successful is calculated using a formula that will result in the countermeasure being successful, and the countermeasures with the highest probability are displayed first. Furthermore, accuracy can be improved by periodically recalculating using accumulated information.

Also, for example, in the example shown in FIG. 21, a configuration in which "time from start of paper feed to first sensor" is added to countermeasure 1 is described, but even here, the parameters used in the above analysis can be changed. Specifically, for countermeasure 1, a parameter (reference information) that is correlated with the evaluation result is searched for from information related to paper feed jams based on accumulated information. For example, the correlation between each parameter, such as "surface glossiness,""moisturecontent,""humidity,""side fan air volume,""paperwidth,""paperlength,""time from start of paper feed to first sensor,""multiple feed detection result," and "paper guide plate width detection," other than "basis weight" and "air volume (tip)" that are already stored as related reference information, and the evaluation result is calculated, and the one with a high correlation is selected. Here, if "time from start of paper feed to first sensor" has a high correlation with the evaluation result, "time from start of paper feed to first sensor" is added to the explanatory variable and the analysis is performed.
An example of the results of recalculation with "time from start of paper feed to first sensor" added as an explanatory variable is shown in Fig. 27. In the example shown in Fig. 27, in the portion (reference D2 in Fig. 27) where "basis weight" is 150 ("time from start of paper feed to first sensor" is 350 ms), the probability (estimated value) has increased from "90%" before recalculation (see reference D1 in Fig. 24) to "99%," indicating an improvement in accuracy.

Furthermore, instead of logistics regression, an analysis method may be used in which deep learning (neural network) is used, with the accumulated information used as training data, reference information (detection information and setting information) used as input, and evaluation used as output, to learn the probability that the evaluation will be OK based on the input information at the time of trouble occurrence, and those with a high probability may be displayed preferentially.
The method for changing parameters is to first provisionally add parameters that have a high correlation with the evaluation among other information as related parameters, then classify the accumulated information into training data and validation data, and after learning with the training data, if the test results are good when tested with the validation data, then register it as a related parameter.

In addition, the detailed configuration and operation of each device constituting the image forming system may be modified as appropriate without departing from the spirit and scope of the present invention.

1 Image forming system 10 Paper feed device 20 Image forming device 21 Intermediate transfer belt 22 Image forming unit 23 Paper feed tray 24 Fixing unit 25 Operation panel 251 Display unit 252 Operation unit 30 Inserter 31 Paper feed tray 40 Image inspection device 41 Line sensor 50 Purge unit 51 Purge tray 60 Cutting unit 61 FD cutter 62 CD cutter 63 Waste box 64 Card tray 65 Sub-tray 70 Paper discharge unit 71 Main tray 72 Sub-tray 100 Control unit (measure acquisition unit, judgment unit)
110 Detection unit 111 Media detection sensor 112 Environment detection sensor 120 Reference information acquisition unit 130 Reception unit 140 Countermeasure information output unit 150 Evaluation acquisition unit 160 Reference information determination unit 170 Storage unit

Claims (17)

a reference information acquiring unit that acquires reference information including detection information corresponding to a state or a measurement value acquired by a plurality of sensors that are disposed within the device and acquire a state or a measurement value within the device;
a reception unit that receives event information indicating an event that has occurred in the device and requires improvement;
a countermeasure information output unit that outputs countermeasure information for the event based on the event information accepted by the accepting unit and the reference information acquired by the reference information acquiring unit;
an evaluation acquisition unit that acquires an evaluation of the countermeasure information output by the countermeasure information output unit;
a reference information determination unit that determines reference information to be referenced when outputting the countermeasure information based on the evaluation acquired by the evaluation acquisition unit;
Equipped with
The image forming system according to the present invention, wherein the countermeasure information output unit selects reference information associated with the event information received by the receiving unit . The image forming system according to claim 1, characterized in that the event information is information about a problem or inconvenience that has occurred in the device. The image forming system according to claim 2, characterized in that the event information is information regarding a paper jam in the device or information regarding productivity. The image forming system according to any one of claims 1 to 3, characterized in that the reception unit receives the event information by acquiring event information that has occurred in the device, selecting an event candidate displayed on an operation panel, inputting characters on the operation panel, or inputting voice information. The image forming system according to any one of claims 1 to 4, characterized in that the reference information includes the detection information and machine and job setting information. The image forming system according to claim 5, characterized in that the setting information includes at least one of the following paper information: size, paper type, basis weight, stiffness, paper grain, surface glossiness, moisture content, and electrical resistance. the plurality of sensors includes a media detection sensor that detects paper characteristic information;
7. The image forming system according to claim 1, wherein the detection information includes paper characteristic information detected by the media detection sensor. The image forming system according to claim 7, characterized in that the paper characteristic information includes at least one physical property value of paper type, basis weight, stiffness, paper grain, surface glossiness, moisture content, and electrical resistance. the plurality of sensors includes an environment detection sensor that detects temperature or humidity within the device;
9. The image forming system according to claim 1, wherein the detection information includes an environmental measurement value detected by the environmental detection sensor. 10. The image forming system according to claim 1 , wherein the countermeasure information output unit outputs the plurality of pieces of countermeasure information in descending order of the evaluation acquired by the evaluation acquisition unit. 11. The image forming system according to claim 1, wherein the countermeasure information output unit outputs different contents to a user who is a user and a serviceman who performs maintenance. 12. The image forming system according to claim 1, further comprising a countermeasure acquisition unit that acquires countermeasures implemented by a user or a service person. The image forming system according to claim 12, characterized in that the countermeasure acquisition unit identifies the behavior and action of the user or serviceman by designating the behavior and action from countermeasure candidates displayed on an operation panel, by designating the behavior and action by character input on the operation panel, by voice input, or by an image or video captured of the user or serviceman, and acquires the identified behavior and action as the countermeasure. a determination unit that determines whether the event has been resolved by the countermeasure information;
14. The image forming system according to claim 1, wherein the evaluation acquisition unit acquires an evaluation of the countermeasure information based on a result of the determination by the determination unit. The image forming system of claim 14, wherein the determination unit determines that the issue has been resolved when it detects any one of the following: a decrease in the incidence of jams, an improvement in productivity, an improvement in poor image quality, a user's input of completion of countermeasures, an input of an improvement judgment, a predetermined number of sheets being printed, completion of a print job, start of a different print job, or a change in mode from maintenance mode to user mode. The image forming system according to claim 14 or 15, characterized in that the judgment unit judges the level of effectiveness of the countermeasure information based on one of the image improvement level, productivity improvement level, downtime reduction amount, and the improvement level, satisfaction level, time until completion of the countermeasure, and number of tasks input by the user, and judges whether the event has been resolved based on the determined level . The image forming system of any one of claims 1 to 16, characterized in that the countermeasure information output unit inputs the event information accepted by the acceptance unit and the reference information acquired by the reference information acquisition unit, outputs countermeasure information for the event, and performs machine learning using an evaluation of the countermeasure information as a reward to generate a learning model.

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