JP6828577B2 - Information processing equipment and programs - Google Patents

Description

The present invention relates to an information processing device and a program.

A technique for reducing the waiting time when using an image forming apparatus has been proposed. For example, Patent Document 1 describes an image forming apparatus that forms an image in a speed priority mode when a person is detected by a motion sensor that detects the presence or absence of a surrounding person. Further, Patent Document 2 discloses an air conditioner in which a control circuit controls a power unit according to the received meteorological data to adjust the surrounding air environment when the meteorological data supplied from the outside is received. Patent Document 3 discloses a recording device that acquires weather information (temperature, humidity data) of a place where it is installed and changes printing conditions (liquid discharge amount) based on the weather information. Patent Document 4 has a movement determination unit that determines the movement of a person with respect to the compound machine, and is selected from the air purifiers based on the position information of the air purifier stored in advance and the determination result of the movement determination unit. An air purifier management system has been proposed that can be cleaned at low cost before the indoor air is contaminated by determining the destination of the operation instruction.

JP-A-2015-29774 Japanese Unexamined Patent Publication No. 2003-240317 Japanese Unexamined Patent Publication No. 2016-30385 Japanese Unexamined Patent Publication No. 2016-163263

By the way, in an environment in which a plurality of image processing devices are used, the image processing device used by the user may differ depending on the situation. Even when the user uses a different image processing device depending on the situation, it is preferable if the waiting time when the user uses the image processing device can be shortened.
An object of the present invention is to reduce the waiting time when a user uses an image processing device in an environment in which a plurality of image processing devices are used.

The information processing device according to claim 1 includes an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device when receiving an image processing instruction, and a plurality of image processing devices. From among, an image processing device in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition is selected. The selection means and the transmission means for transmitting the data to be processed by the instructed image processing to the selected image processing device, the status data includes the vital data of the user, and the selection. The means selects an image processing device associated with the degree of drowsiness of the user estimated from the acquired vital data .

The information processing device according to claim 2 includes an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device when receiving an image processing instruction, and a plurality of image processing devices. From among, an image processing device in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition is selected. The selection means and the transmission means for transmitting the data to be processed by the instructed image processing to the selected image processing device, the situation data includes meteorological data, and the selection means includes the weather data. An image processing device associated with the type of weather estimated from the acquired weather data is selected.

The information processing device according to claim 3 includes an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device when receiving an image processing instruction, and a plurality of image processing devices. From among, an image processing device in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition is selected. It was executed when the image processing was executed by the selection means, the transmission means for transmitting the data to be processed by the instructed image processing to the selected image processing device, and the image processing device. The registration means for registering the acquired status data in the database in association with the user who instructed the image processing and the image processing device, and the amount of data stored in the database is equal to or less than a predetermined threshold value. In this case, a second transmission means for transmitting the data to be processed is provided to at least two or more devices of the plurality of image processing devices .

The program according to claim 4 is a situation data related to at least one of the user's state and the environment of the image processing device when the computer receives an image processing instruction, and includes the user's vital data. The acquisition step of acquiring the data, and the statistical result of the status data stored in the database for each user and each image processing device from the plurality of image processing devices and the acquired status data for each image processing device are obtained. A selection step for selecting an image processing device that satisfies a predetermined condition, and a selection step for selecting an image processing device associated with the degree of drowsiness of the user estimated from the acquired vital data. This is a program for causing the selected image processing device to execute a transmission step of transmitting data to be processed by the instructed image processing.

The program according to claim 5 is situation data related to at least one of the user's state and the environment of the image processing device when the computer receives an instruction for image processing, and obtains situation data including weather data. The acquisition step to be acquired, the statistical result of the status data stored in the database for each user and each image processing device from the plurality of image processing devices, and the acquired status data are predetermined. A selection step for selecting an image processing device satisfying the above conditions, a selection step for selecting an image processing device associated with a weather type estimated from the acquired weather data, and the selected step. It is a program for causing an image processing apparatus to execute a transmission step of transmitting data which is a processing target of the instructed image processing.

The program according to claim 6 includes an acquisition step of acquiring status data related to at least one of the user's state and the environment of the image processing device when receiving an image processing instruction from the computer, and a plurality of image processing. From the devices, select an image processing device in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition. This is executed when the selection step to be performed, the transmission step of transmitting the data to be processed by the instructed image processing device to the selected image processing device, and the image processing performed by the image processing device. In the registration step of registering the acquired status data in the database in association with the user who instructed the image processing and the image processing device, and the amount of data stored in the database is less than or equal to a predetermined threshold. In some cases, it is a program for causing at least two or more devices of the plurality of image processing devices to execute a second transmission step of transmitting the data to be processed.

According to the invention of claim 1 or 4, in an environment in which a plurality of image processing devices are used, the waiting time when the user uses the image processing device is shortened in consideration of the degree of drowsiness of the user. ..
According to the invention of claim 2 or 5, in an environment in which a plurality of image processing devices are used, the waiting time when the user uses the image processing device is shortened in consideration of the type of weather.
According to the invention of claim 3 or 6, the waiting time of the user is shortened as compared with the case where the data to be processed is not transmitted to the plurality of image processing devices.

Diagram showing the system configuration Diagram showing the functional configuration of the server Diagram showing the hardware configuration of the server Flowchart showing the flow of processing performed by the server Diagram showing an example of the contents of the status database Diagram showing an example of the contents of a statistical database Flowchart showing the flow of processing performed by the image processing device

[1] Configuration FIG. 1 is a block diagram showing a configuration of a management system 100 according to this embodiment. The management system 100 includes image processing devices 10A, 10B and 10C, a server 20 (an example of an information processing device), a sensor 30, and a user terminal 40. The image processing devices 10A, 10B, and 10C perform image processing such as image forming processing for forming an image on a medium and image reading processing for reading an image formed on the medium. The image processing devices 10A, 10B, and 10C are connected to the server 20 by the communication line 2. The communication line 2 includes, for example, at least one of the Internet, a mobile communication network, a telephone line, a LAN (local area network), and the like. In the following description, when it is not necessary to distinguish between the image processing devices 10A, 10B and 10C, they are referred to as "image processing device 10".

The server 20 provides various services such as a storage service and a service of selecting a device presumed to be used by a user from a plurality of image processing devices 10 and transmitting data to be processed. The sensor 30 is a sensor that detects at least one of the user's state and the environment of the image processing device 10. The sensor 30 includes, for example, a sensor that detects the vitals of the user and a sensor that detects the temperature, humidity, and the like at the installation location of the image processing device 10. The user terminal 40 is a computer device used by the user, for example, a personal computer.

FIG. 2 is a block diagram showing an example of the functional configuration of the server 20. The server 20 has an acquisition means 21, a selection means 22, a transmission means 23, a registration means 24, and a second transmission means 25. When the acquisition means 21 receives an image processing instruction, it acquires status data related to at least one of the user's state and the environment of the image processing device 10. The status data indicates, for example, the user's vital data, the data indicating the user's position, the data indicating the schedule, the data indicating the current date and time, the data indicating the weather, and / or the user located around the image processing device 10. Includes data.

The vital data is, for example, data representing the user's body temperature, heartbeat, respiration, blood pressure, and / or presence / absence of consciousness, is generated by a wearable computer (not shown) worn by the user, and is generated by the server 20 via the communication line 2. Will be sent to. From the vital data, the physical condition of the user, the degree of stress, the degree of tiredness, the degree of drowsiness, etc. are determined. The position data indicating the user's position is, for example, data in which the position of a terminal (smartphone or the like) owned by the user is detected by GPS (Global Positioning System). The schedule data is, for example, data indicating a schedule for each user registered in a predetermined groupware. The date and time data indicating the date and time is, for example, data indicating the date and time measured by the time measuring unit provided in the server 20. The data indicating the weather is, for example, data indicating the temperature and humidity measured by the sensor 30.

As for the user data indicating the user located around the image processing device 10, for example, the IC tag of the user located around the image processing device 10 is read by a reading means for reading the IC tag provided on the user's employee ID card. Is generated by. The image processing device 10 transmits the IC tag data read by the reading means to the server 20, and the server 20 acquires this data as user data.

In this embodiment, the situation data may be one type of data, or may include a plurality of types of data. For example, the situation data may include vital data and meteorological data.

In the selection means 22, the statistical result of the situation data stored in the database 26 for each user and each image processing device 10 and the situation data acquired by the acquisition means 21 are predetermined from the plurality of image processing devices 10. Select the one that meets the above conditions. The transmission means 23 transmits the data to be processed by the instructed image processing to the image processing device 10 selected by the selection means 22. When the image processing is executed by the image processing device 10, the registration means 24 is acquired by the acquisition means 21 in association with the user who instructed the executed image processing and the image processing device 10 which executed the image processing. The status data is registered in the database 26. When the amount of data stored in the database 26 is equal to or less than the threshold value, the second transmission means 25 transmits data to be processed (hereinafter referred to as “processing target data”) to the plurality of image processing devices 10.

FIG. 3 is a diagram illustrating a hardware configuration of the server 20. In the figure, the memory 251 stores various data. The processor 252 performs data processing according to the program stored in the memory 251. The communication IF 253 is an interface for performing data communication with an external device via a network.

In this example, the function shown in FIG. 2 is implemented by the processor 252 executing the program stored in the memory 251. The processor 252 executing the program is an example of the acquisition means 21, the selection means 22, the transmission means 23, the registration means 24, and the second transmission means 25.

[2] Operation Next, an operation example of this embodiment will be described. Hereinafter, in an environment in which the image processing devices 10A, 10B, and 10C are installed, an operation when the user x instructs the image processing using the user terminal 40 will be described. The user terminal 40 transmits the image processing instruction data to the server 20 according to the instruction of the user x. This instruction data includes a user ID that identifies the user x.

FIG. 4 is a flowchart showing the flow of processing performed by the server 20. In step S101, the server 20 receives instruction data from the user terminal 40. When the server 20 receives the instruction data from the user terminal 40, in step S102, the server 20 receives (acquires) the status data from the user terminal 40, the sensor 30 and / or another terminal (a wearable computer or the like worn by the user). In this operation example, the server 20 receives vital data from the user's wearable computer and acquires weather data from the sensor 30.

Further, in this step, the server 20 may analyze the acquired vital data and determine the state of the user (“sleepy”, “high stress”, etc.). As a method of analyzing vital data, for example, the server 20 obtains a rhythm pattern according to the fluctuation of the heart rate from the signal of the heart rate sensor that detects the user's heart rate, and determines the consciousness level that conflicts with the user's drowsiness. You may. In this case, when the consciousness level is equal to or lower than a predetermined threshold value, it is determined to be "sleepy". The method for analyzing vital data is not limited to the one described above, and various methods can be applied. Further, this determination process may be executed by the user's wearable computer. In this case, the server 20 receives the status data indicating the user's status from the user's wearable computer. In this embodiment, for example, the server 20 acquires status data including data indicating “sleepy” and data indicating “weather: sunny” and “temperature: 10 degrees”.

In step S103, the server 20 is an image estimated to be used by the user from among the plurality of image processing devices 10 based on the statistical result of the status database stored in the memory 251 and the status data acquired in step S102. Select the processing device 10. The status database is a database in which status data is accumulated for each user and each image processing device 10.

FIG. 5 is a diagram showing an example of the contents of the status database. In this database, status data regarding the user's state and / or the environment of the image processing device 10 at the timing when the image processing device 10 is used by the user is accumulated for each user and each image processing device 10. In this example, the status database is "User ID", "Date", "Device ID", "Weather", "Vital data", "Other users", "Pages", "Device status" and "Schedule". Items such as "" are linked to each other. Among these items, the item of "user ID" stores a user ID that identifies the user. In the "date and time" item, data indicating the date and time when the image processing device 10 was used is stored. In the item of "device ID", a device ID that identifies the image processing device 10 is stored.

In the item of "weather", data indicating the weather at the timing when the image processing device 10 is used (for example, type of weather, temperature, humidity) is stored. In the item of "vital data", the user's vital data measured by a wearable computer or the like worn by the user, or the analysis result of the measured vital data (for example, "sleepy", "high stress"). Data indicating is stored.

The item of "other user" includes the periphery (position of the image processing device 10) around the image processing device 10 (used image processing device 10 or other image processing device 10) at the timing when the image processing device 10 is used. Identification information (user ID) that identifies a user within a predetermined range) is stored. As a method of detecting a user, for example, a reading means for reading a contactless IC card attached to an employee ID card or an admission card owned by the user is provided in or around the image processing device 10, and the reading result of the reading means is provided. The user's position may be detected according to the above. In this embodiment, the predetermined range is, for example, a range in which the reading means for reading the non-contact type IC card can read the IC card. The predetermined range may be registered in advance in the server 20, or may be set and registered by the user. For example, when there is a user whose user ID is "usr06" around the other image processing device 10 at the timing when the image processing device 10 is used, "usr06" is stored in the item of "other user". ..

In the item of "number of pages", data indicating the number of pages output in the image processing executed by the image processing device 10 is stored. In the item of "device state", data indicating the state (sleeping, processing execution, etc.) of the image processing device 10 at the timing when the image processing device 10 is used is stored. In the "schedule" item, data indicating the user's schedule at the timing when the image processing device 10 is used or at the timing before and after the image processing device 10 is used (for example, during a conference in the conference room A and a conference in the conference room B 30 minutes later) is stored. Will be done.

In this embodiment, the server 20 aggregates the status data accumulated in the status database of FIG. 5 at a predetermined timing, and calculates the ratio for each attribute of each item. Then, the server 20 registers (updates) the calculated ratio in the statistical database stored in the memory 251. By performing this registration (update) process periodically, the usage history of the user is reflected in the statistical database.

FIG. 6 is a diagram showing an example of the contents of the statistical database. The statistical database is a database in which statistical results of status data for each user and each image processing device 10 are stored. In this embodiment, the server 20 refers to this statistical database and selects an image processing device 10 that is presumed to be used by the user. In the example of FIG. 6, in the statistical database, as statistical results for each user and each image processing device 10, the ratio of the image processing device 10 used for each state of the user and / or the attribute of the environment of the image processing device 10. Data (hereinafter referred to as "statistical data") indicating the above is stored. The statistical database shown in FIG. 6 includes "user ID", "device ID", "weather", "time zone", "vital data", "other users", "number of pages", "device status" and Items such as "schedule" are linked to each other. Among these items, a user ID (identification information) that identifies a user is stored in the "user ID" item. In the item of "device ID", a device ID (identification information) for identifying the image processing device 10 is stored.

In the item of "weather", data showing statistical results for each attribute of the weather (for example, "sunny" and "rain") when the image processing device 10 is used is stored. In the example of FIG. 6, the statistical result for each weather attribute in which the image processing device 10 whose device ID is "device03" is used by the user whose user ID is "usr01" is that "sunny" is 100%. It is shown.

In the item of "time zone", data indicating a statistical result for each attribute (for example, "morning", "afternoon") indicating a time zone when the image processing device 10 is used is stored. In the example of FIG. 6, the statistical results of the time zone in which the image processing device 10 whose device ID is "device03" is used by the user whose user ID is "usr01" are 70% in the morning and 30% in the afternoon. It is shown that there was.

In the item of "vital data", data showing the statistical result for each attribute (for example, "drowsiness", "high stress") of the analysis result of the vital data when the image processing device 10 is used is stored. .. For example, the statistical result for each attribute related to the vital in which the image processing device 10 whose device ID is "device03" is used by the user whose user ID is "usr01" shows that the rate of drowsiness is 50%. Data is stored such that the ratio when the stress is high is 30%.

In the item of "other users", when there are other users around the image processing device 10 at the timing when the image processing device 10 is used, data showing statistical results for each user around the image processing device 10 is stored. Will be done. In the example of FIG. 6, when the user of "usr01" uses the image processing device 10 of "device03", the ratio of the user of "usr06" being around the other image processing device 10 is 20%. It is shown.

In the item of "number of pages", data showing statistical results for each range of the number of pages is stored. In the example of FIG. 6, statistics for each range of the number of pages of data to be processed for image processing when the image processing device 10 whose device ID is "device03" is used by a user whose user ID is "usr01". The results show that pages 1-10 are 60% and pages 11-50 are 20%.

In the item of "device state", data showing statistical results for each attribute of the state of the image processing device 10 (for example, "sleep", "processing in progress") at the timing when the image processing device 10 is used is stored. Will be done. In the "schedule" item, statistical results for each attribute of the user's schedule at the timing when the image processing device 10 is used (for example, "during a meeting in the meeting room A, and meeting in the meeting room B after 30 minutes") are stored. Will be done. The items included in the statistical database of FIG. 6 are not limited to those described above. For example, the statistical database may have statistical result items for each attribute of the distance between the user and the image processing apparatus 10 (for example, the closest, the second closest, etc.).

In this embodiment, the server 20 refers to the statistical database of FIG. 6, and uses the status data acquired in step S102 to estimate that the user will use the image processing device 10 from among the plurality of image processing devices 10. Select. Specifically, for example, when the status data acquired in step S102 includes the user's vital data, the server 20 is an image processing device associated with the degree of drowsiness of the user estimated from the vital data. Select 10. As another example, when the status data acquired in step S102 includes meteorological data, the server 20 selects the image processing device 10 associated with the weather type specified by the meteorological data. You may.

In this embodiment, the selection process of the image processing apparatus 10 is performed as follows. First, the server 20 searches the statistical database for the user ID included in the instruction data acquired in step S101, and identifies the device ID corresponding to the searched user ID. Next, the server 20 selects the attribute of the status data acquired in step S102 from the attributes of each item of the status data associated with the specified device ID. For example, when the status data acquired in step S102 includes data indicating "sleepy" and data indicating "weather: sunny" and "temperature: 10 degrees", the attribute of "sunny" and "sleepiness" The attribute of "" and the attribute of "temperature: 5 to 10 degrees" are selected.

Next, the server 20 selects an image processing device 10 estimated to be used by the user from the image processing devices 10 having the specified device ID based on the statistical results for each of the selected one or a plurality of attributes. To do. For example, the image processing device 10 having the highest total value of the statistical results (ratio) corresponding to the selected attribute may be selected. Specifically, for example, the user ID included in the instruction data acquired in step S101 is "usr01", and the attributes of the status data acquired in step S102 are "weather: sunny" and "no drowsiness". It is assumed that the contents of the statistical database are as shown in FIG. In this case, the highest total value of the ratio corresponding to "sunny" and the ratio corresponding to "no drowsiness" is the statistical data corresponding to "device03", so "device03" is used by the user. It may be estimated as the image processing device 10 to be used.

Returning to the description of FIG. When the image processing device 10 is selected, the server 20 proceeds to the process of step S104. In step S104, the server 20 transmits the image processing target data instructed in step S101 to the image processing device 10 selected in step S103. The transmitted data to be processed is received by the image processing device 10 and stored in the memory of the image processing device 10. When the processing of transmitting the processing target data is completed, the server 20 waits for the completion report of the image processing from the image processing device 10 which is the transmission destination of the processing target data in step S105 (step S105; NO).

After instructing image processing using the user terminal 40, the user x moves to the image processing device 10 that he / she wants to use. After that, the user inputs the user ID and password using the operation panel of the image processing device 10 to perform the login process. The user ID may be input by the user operating the operation panel, or is acquired by the image processing device 10 by reading the ID by a reading means for reading the IC tag attached to the user's employee ID card or the like. You may. When the login is successful, the user x performs an operation of instructing image processing (for example, printout) using the operation panel.

FIG. 7 is a flowchart showing the flow of processing performed by the image processing apparatus 10. The process shown in FIG. 7 is started when the user operates the operation panel of the image processing device 10 to instruct the image processing. In step S201, the processor of the image processing device 10 determines whether the processing target data of the image processing instructed by the user x is stored in the image processing device 10. If it is determined that the image is stored, the image processing device 10 skips the process of step S202 and proceeds to the process of step S203. On the other hand, if it is determined that the image is not stored, the image processing device 10 proceeds to the process of step S202.

In step S202, the image processing device 10 transmits a data acquisition request to the server 20, and receives (acquires) the processing target data transmitted from the server 20 as a response to the transmitted acquisition request.

In step S203, the image processing apparatus 10 executes image processing (for example, printout) instructed by the user. In step S204, the image processing apparatus 10 transmits data (hereinafter referred to as “processing result data”) indicating the processing result (completion, etc.) of the image processing to the server 20. The transmitted processing result is received by the server 20.

Returning to the description of FIG. When the server 20 receives the processing result data from the image processing device 10 (step S105; YES), the server 20 proceeds to the processing of step S106. In step S106, when the image processing is executed by the image processing device 10, the server 20 acquires the image processing in step S102 in association with the user who instructed the executed image processing and the image processing device 10 which executed the image processing. Register the created status data in the status database. At this time, when the image processing is executed by the image processing device 10 selected in step S103, the status data acquired in step S102 is associated with the user who instructed the image processing and the selected image processing device 10. Is registered in the status database. On the other hand, when the image processing is not executed by the image processing device 10 selected in step S103, the situation acquired in step S102 is associated with the image processing device on which the image processing is executed and the user who instructed the image processing. The data is registered in the status database. Specifically, when a request for acquiring data to be processed is received from an image processing device 10 different from the image processing device 10 selected in step S103, or an image processing device 10 different from the image processing device 10 selected in step S103. When notified by the user that the execution of the image processing is completed, the image processing device 10 (or the image processing device 10 that has notified the completion of the execution of the image processing) is the user who instructed the image processing and the source of the acquisition request of the data to be processed. The status data acquired in step S102 is registered in the status database in association with.

As described above, in this embodiment, the image processing device 10 estimated to be used by the user is selected by the server 20 based on the statistical result of the situation data stored in the situation database. For example, in the case of a user who always uses the image processing device 10 closest to his / her own position, the server 20 selects the image processing device 10 closest to the user's position.

Further, for example, it is assumed that the user a uses the image processing device 10B closest to the second because another user b is using the image processing device 10A located at the nearest location. In this case, in this embodiment, the fact that the image processing device 10A is used by the user b and that the image processing device 10B is used by the user a is accumulated in the status database as the status data. After that, when the user a instructs the printout at another timing, the accumulated status data is referred to. Here, when the sensor 30 detects that the user b is at the position of the image processing device 10X, the server 20 estimates that the image processing device 10 to which the user a is heading is the image processing device 10Y, and the image processing device 10Y The data to be processed is transmitted to. As described above, in this embodiment, the actual usage history by the user is accumulated, and when the image processing is instructed by the user at a later timing, the server 20 makes a selection that feeds back the history.

Further, as another example, it is assumed that the user a always uses the second closest image processing device 10B when printing out. In this case, when the user a next instructs the printout, the server 20 estimates that the user a heads for the image processing device 10B, and transmits the processing target data to the image processing device 10B.

That is, in this embodiment, it is estimated which image processing device 10 the user goes to (which image processing device 10 is used) based on the situation data such as weather data and vital data in the situation used in the past. Will be done. Then, the processing target data is transmitted to the image processing device 10 estimated to be used. For example, if you are drowsy, you may go to the image processing device 10 in the distance, or if the weather is fine, you may go to the image processing device 10 on the route where you can see the scenery from the window. The corresponding image processing device 10 is estimated. As a result, the waiting time until the user arrives in front of the image processing device 10 and obtains the output from the image processing device 10 is shortened.

[3] Modifications The above-described embodiment is merely an example of the embodiment of the present invention, and may be modified as follows. In addition, the above-described embodiment and each of the following modifications may be combined and implemented as necessary.

(1) In the above-described embodiment, the server 20 performs a process of selecting an image processing device 10 presumed to be used by a user from a plurality of image processing devices 10. The process executed by the server 20 in the above-described embodiment may be executed by another device. For example, a personal computer used by the user may be provided with a dedicated application, and the personal computer may execute various processes executed by the server 20 in the above-described embodiment. Further, one or a plurality of image processing devices 10 among the plurality of image processing devices 10 may execute various processes executed by the server 20 in the above-described embodiment.

Further, a plurality of servers may jointly execute various processes executed by the server 20 in the above-described embodiment. For example, each function shown in FIG. 2 may be implemented by the cooperation of the servers provided for each function component shown in FIG.

(2) In the above-described embodiment, the items included in the situation database shown in FIG. 5 and the statistical database shown in FIG. 6 are not limited to those described above. For example, an item of the startup time of the image processing device 10 and an item of the frequency of sleep may be included. Further, an item of the function (for example, PPM value) of the image processing device 10 may be included in the status database or the statistical database, and this item may be referred to when the server 20 performs the selection process of the image processing device 10.

(3) In the above-described embodiment, the server 20 refers to the statistical database shown in FIG. 6 and performs a process of selecting the image processing device 10 presumed to be used by the user. The method of estimating which image processing device 10 the user uses is not limited to the above, and various methods can be applied. For example, estimation processing using a probabilistic model such as a hidden Markov model based on statistical results of situation data may be performed. Further, without using the statistical database, the server 20 may sequentially perform statistical processing based on the status database and perform selection processing of the image processing device 10 based on the statistical result.

In addition, the estimation process in consideration of the schedule may be performed. For example, the server 20 may estimate that the data will be printed out in the destination conference room from the schedule information, and transmit the processing target data to the image processing device 10 in the destination conference room.

Further, as another estimation method, for example, the image processing device 10 to be used based on busyness may be estimated. In this case, the degree of busyness may be determined from the degree of schedule clogging and the degree of impatience of vital data.

(4) In the above-described embodiment, the management system 100 having three image processing devices 10, one server 20, one sensor 30, and one user terminal 40 has been illustrated. The number of each device included in 100 is not limited to those described above. For example, the management system 100 may include four or more image processing devices 10. Further, a plurality of user terminals 40 may be included in the management system 100. Further, a plurality of sensors 30 may be included in the management system 100.

(5) In the above-described embodiment, the server 20 may transmit the processing target data to a plurality of image processing devices when the amount of the status data stored in the status database is equal to or less than a predetermined threshold value. The accuracy of the estimation process by the server 20 may be low until some data is accumulated in the status database. Therefore, the server 20 may transmit the processing target data to the plurality of image processing devices 10 until the estimation accuracy is improved. In this case, the data to be processed may be transmitted to all of the plurality of image processing devices 10, or may be transmitted to the image processing device 10 which is not used by other users. Further, the user may specify the transmission destination of the processing target data by using the user terminal 40, and the processing target data may be transmitted to the designated image processing device 10.

Further, the estimation accuracy may be improved by providing a driver and a WebUI for specifying which image processing device 10 to execute the image processing instructed by the user and interactively accumulating the data.

(6) In the above-described embodiment, a user who is within a predetermined range from the position where the image processing device 10 is installed is detected by the reading result of the reading means for reading the IC tag. The method of detecting the user around the image processing device 10 is not limited to the above. The detection means for detecting the user may be, for example, a motion sensor such as an ultrasonic sensor, a visible light sensor, or a sensor that combines infrared rays and ultrasonic waves. Further, the detection means may be, for example, a sound sensor or a vibration sensor. Further, the detection means may be one that detects the position of the terminal possessed by the user by GPS (Global Positioning System). Further, a user may be detected by installing a photographing means (camera) in each image processing device 10 and having the server 20 analyze an image (still image or moving image) photographed by the photographing means.

(7) In the above-described embodiment, the server 20 receives the status data from another device in step S102 of FIG. 4, but the timing of acquiring the status data is not limited to that described above. For example, the server 20 may acquire the status data periodically (for example, every hour, etc.) and register the acquired status data in the status database.

(8) In the above-described embodiment, the program executed by the processor 252 of the server 20 may be downloaded via a communication line such as the Internet. Further, these programs are provided in a state of being recorded on a computer-readable recording medium such as a magnetic recording medium (magnetic tape, magnetic disk, etc.), an optical recording medium (optical disk, etc.), an optical magnetic recording medium, a semiconductor memory, or the like. May be done.

2 ... communication line, 10 ... image processing device, 20 ... server, 21 ... acquisition means, 22 ... selection means, 23 ... transmission means, 24 ... registration means, 25 ... second transmission means, 30 ... sensor, 40 ... user Terminal, 100 ... Management system.

Claims (6)

When an image processing instruction is received, an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device, and an acquisition means.
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from a plurality of image processing devices. Selection means for selecting a processing device and
A transmission means for transmitting data to be processed by the instructed image processing to the selected image processing apparatus is provided.
The status data includes the user's vital data and includes
The selection means is an information processing device that selects an image processing device associated with the degree of drowsiness of the user estimated from the acquired vital data . When an image processing instruction is received, an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device, and an acquisition means.
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from a plurality of image processing devices. Selection means for selecting a processing device and
A transmission means for transmitting data to be processed by the instructed image processing to the selected image processing apparatus.
With
The situation data includes meteorological data
The selection means is an information processing device that selects an image processing device associated with a weather type estimated from the acquired weather data. When an image processing instruction is received, an acquisition means for acquiring status data related to at least one of the user's state and the environment of the image processing device, and an acquisition means.
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from a plurality of image processing devices. Selection means for selecting a processing device and
A transmission means for transmitting data to be processed by the instructed image processing to the selected image processing apparatus, and
When image processing is executed by the image processing device, a registration means for registering the acquired status data in the database in association with the user who instructed the executed image processing and the image processing device, and
When the amount of data stored in the database is equal to or less than a predetermined threshold value, a second transmission means for transmitting the data to be processed to at least two or more devices of the plurality of image processing devices.
Information processing apparatus including a. On the computer
An acquisition step of acquiring status data including the user's vital data, which is status data related to at least one of the user's state and the environment of the image processing device when an image processing instruction is received, and
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from among a plurality of image processing devices. A selection step for selecting a processing device, which is a selection step for selecting an image processing device associated with the degree of drowsiness of the user estimated from the acquired vital data.
A program for causing the selected image processing apparatus to execute a transmission step of transmitting data to be processed by the instructed image processing. On the computer
An acquisition step of acquiring status data including meteorological data, which is status data related to at least one of the user's state and the environment of the image processing device when an image processing instruction is received,
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from among a plurality of image processing devices. A selection step for selecting a processing device, which is a selection step for selecting an image processing device associated with a weather type estimated from the acquired meteorological data.
A transmission step of transmitting data to be processed by the instructed image processing to the selected image processing apparatus.
A program to execute. On the computer
An acquisition step that acquires status data related to at least one of the user's state and the environment of the image processing device when an image processing instruction is received, and an acquisition step.
An image in which the statistical result of the status data stored in the database for each user and each image processing device for each image processing device and the acquired status data satisfy a predetermined condition from a plurality of image processing devices. The selection step to select the processing device and
A transmission step of transmitting data to be processed by the instructed image processing to the selected image processing apparatus, and a transmission step.
When image processing is executed by the image processing device, a registration step of registering the acquired status data in the database in association with the user who instructed the executed image processing and the image processing device, and
When the amount of data stored in the database is equal to or less than a predetermined threshold value, the second transmission step of transmitting the data to be processed to at least two or more devices of the plurality of image processing devices.
A program to execute.

Images