JP2020017259A - Image data generation device, image data generation method, and program - Google Patents

Abstract

To simply manage an application and data referred to by the application.SOLUTION: An image data generation device comprises: an application information acquisition unit (11) that acquires application information; a data candidate information acquisition unit (12) that acquires information indicating candidates for data referred to by an application; and a display screen creation unit (13) that creates one or more display screens including a list of application icons indicated in the application information and a list of the candidates for data indicated in the data candidate information.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an image data generation device, an image data generation method, and a program.

  2. Description of the Related Art Conventionally, an information processing system that collects data necessary for analyzing IoT data and provides the collected data to various service providers is known. Some of these systems perform various pre-processing such as data interpolation processing and sampling processing to provide data to a service provider (for example, see Patent Document 1).

JP-T-2015-515041 (published on May 21, 2015)

  A user can receive a predetermined service by installing a plurality of applications on a terminal device such as a smartphone and activating a desired application. The user can browse data and receive services by using the application installed in the terminal device. A plurality of applications may be installed in the terminal device, and each of these applications refers to a plurality of data.

  As described above, since each of the plurality of applications installed in the terminal device refers to the plurality of data, there is a demand from the user to easily manage the applications and the data.

  One embodiment of the present invention has been made in view of the above circumstances, and has as its object to provide a technique capable of easily managing an application and data referred to by the application.

  In order to solve the above problem, an image data generation device according to an aspect of the present invention is an image data generation device that generates image data, and an application information acquisition unit that acquires application information indicating an application to be displayed. And a data candidate information acquisition unit for acquiring information indicating a candidate for data referred to by the application, and a list of application icons indicated by the application information, and a list of data candidates indicated by the data candidate information. And a display screen generation unit that generates one or a plurality of display screens.

  According to the above configuration, since the application and the data referred to by the application are displayed on the display screen, the user can easily check the application and the contents of the data referred to by the application.

  Further, in order to solve the above-described problem, in the image data generation device according to an aspect of the present invention, the data candidate information acquisition unit may be configured to refer to a visualization application that visualizes predetermined target data selected by a user. A first data ID that is an ID unique to the raw data for identifying the raw data generated by the data generation device that generates the target data, and a service that provides a predetermined service selected by the user to the user A second data ID that is an ID unique to the raw data for identifying the raw data generated by the data generation device that generates the target data referred to by the application; Means that the service application can be used when the first data ID and the second data ID are the same. It generates the display screen including information indicating.

  According to the configuration, it is possible to use only the service application that refers to the same data as the data referred to by the visualization application. Therefore, the user can easily confirm whether or not the data and the service application can be used.

  Further, in order to solve the above problem, the image data generation device according to an aspect of the present invention may be configured such that the first data ID is the data generation device of the data generation device that generates the target data referred to by the visualization application. An ID indicating an operation history or a browsing history at the time of generating the target data, wherein the second data ID is an operation history at the time of generating the target data of the data generating apparatus that generates the target data referred to by the service application or This is an ID indicating a browsing history.

  According to another embodiment of the present invention, there is provided an image data generating method for generating image data, comprising: application information for acquiring application information indicating an application to be displayed; Acquisition step, including a data candidate information acquisition step of acquiring information indicating a candidate of data referred to by the application, an icon list of the application indicated by the application information, a candidate list of data indicated by the data candidate information, And a display screen generating step of generating one or a plurality of display screens including the following.

  According to the above method, since the application and the data referred to by the application are displayed on the display screen, the user can easily check the application and the contents of the data referred to by the application.

  In order to solve the above problems, a program according to one embodiment of the present invention is a program for causing a computer to function as the image data generation device, wherein the application information acquisition unit, the data candidate information acquisition unit, A program for causing a computer to function as the display screen generation unit.

  According to the program, an application and data referred to by the application can be displayed on the display screen.

  According to one embodiment of the present invention, it is possible to easily manage an application and data referred to by the application from the terminal device.

1 is a block diagram illustrating a schematic configuration of an information processing system according to the embodiment. It is a figure showing the outline of the service by the information processing system. It is a figure showing a raw data table recorded on raw data DB. FIG. 4 is a diagram showing an analysis data table recorded in an analysis DB. It is a figure showing the table recorded on user IoT data management DB, (a) is a management data table of a visualization device, and (b) is a management data table of a service providing device. It is a flowchart which shows the flow of a service authorization process. It is a flowchart which shows the flow of service provision processing. It is a figure showing the example of a display of the output from the visualization device in a terminal unit. FIG. 6 is a diagram illustrating a display example of an output from a service providing device in a terminal device. It is a figure showing the example of a display of the output from the visualization device in a terminal unit.

  Hereinafter, an embodiment according to one aspect of the present invention (hereinafter, also referred to as “the present embodiment”) will be described with reference to the drawings.

§1 Application Example First, an example of a scene to which the present invention is applied will be described with reference to FIG. FIG. 2 is a diagram illustrating an outline of a service provided by the information processing system 1 according to the present embodiment. As shown in FIG. 2, the information processing system 1 collects raw data from various IoT devices 5, performs visualization processing on the collected raw data, performs pre-processing such as analysis conversion, and provides the user with information. It is used for services provided to the user.

  The information processing system 1 includes an IoT device 5, a raw data DB 110, a preprocessing execution unit 130, an analysis DB 140, and a visualization device 30.

  The IoT device 5 is a device for acquiring raw data, and for example, acquires raw data such as a user's face image, schedule, mail history, file browsing history, pulse, and driving data. The IoT device 5 attaches an IoT device ID for identifying the device of the IoT device to the obtained raw data.

  The raw data DB 110 collects and stores raw data acquired by one or more IoT devices 5. The raw data DB 110 stores the raw data acquired from the IoT device 5 by attaching a data ID which is a unique ID to each of the data. Further, the raw data DB 110 may store a personal ID for specifying the user of the IoT device 5 that provides the raw data, attached to the obtained raw data.

  The preprocessing execution unit 130 performs preprocessing on the raw data collected by the raw data DB 110 using an algorithm according to the raw data. Further, the preprocessing execution unit 130 attaches a preprocessing ID corresponding to the preprocessing performed on the raw data to the data after the preprocessing.

  The analysis DB 140 stores the data after the preprocessing performed by the preprocessing execution unit 130.

  The visualization device 30 performs a visualization process such as graphing on the raw data collected by the raw data DB 110. The visualization device 30 may include a visualization DB that stores data after the visualization processing. Further, the visualization device 30 attaches a visualization ID corresponding to the visualization processing performed on the raw data to the data after the visualization processing.

  The information processing system 1 provides the data after the visualization processing by the visualization device 30 to the user. Further, the information processing system 1 provides a user with a service by a service application that refers to the data after preprocessing stored in the analysis DB 140.

  Further, in the information processing system 1, a service application is provided according to at least one of an ID such as an IoT device ID, a personal ID, a preprocessing ID, and a visualization ID associated with data referred to by a service application provided to a user. It may be determined whether or not is enabled.

  As described above, in the information processing system 1, the raw data collected by the raw data DB 110 by one or a plurality of IoT devices 5 is assigned an ID according to the applied processing. Can be traced.

  Further, since the data referred to by the service application is provided with an ID corresponding to the processing performed by the information processing system 1, the user who uses the service application and the application providing source that provides the service application may receive the data. Can be traced.

  Further, in order to determine whether or not the service application can be used in accordance with the ID indicating the processing performed on the data by the information processing system 1 associated with the data referred to by the service application, use and release of the service are determined. , While the user checks the contents.

§2 Configuration Example Hereinafter, a configuration of the information processing apparatus 100 according to the embodiment of the present invention will be described in detail with reference to FIGS. 1 and 2. FIG. 1 is a block diagram illustrating a schematic configuration of the information processing apparatus 100. FIG. 2 is a diagram illustrating an outline of a service provided by the information processing system 1 including the information processing apparatus 100.

  As shown in FIG. 1, the information processing device 100 is used as a component of the information processing system 1. The information processing system 1 includes one or a plurality of IoT devices 5 (5a, 5b), an information processing device 100, a visualization device 30, a service providing device 20, and a terminal device 10.

  The IoT device 5 is an electronic device such as a terminal device such as a smartphone or a tablet, a personal computer, a smart speaker, and a vehicle-mounted device. Further, the IoT device 5 may be various sensors. The IoT device 5 acquires raw data such as a user's face image, schedule, mail history, file browsing history, pulse, body temperature, driving data, and other sensing data, and provides the raw data to the information processing apparatus 100. The IoT device 5 provides the raw data to the information processing apparatus 100 by attaching an individual IoT device ID to each of the IoT devices 5 for identifying the provider IoT device 5 to the obtained raw data. As described above, the IoT device 5 functions as a data generation device that generates data to be processed in the information processing device 100.

(Configuration of Information Processing Apparatus 100)
The information processing apparatus 100 includes a raw data DB 110, an anonymized raw data DB 120, a preprocessing execution unit 130, an analysis DB 140, an anonymization analysis DB 160, and a user IoT data management DB 150. The information processing apparatus 100 is an apparatus that performs processing on target data, and may include only the preprocessing execution unit 130. The raw data DB 110, the anonymized raw data DB 120, the analysis DB 140, the anonymized analysis DB 160, and the user IoT data management DB 150 may be provided separately from the information processing apparatus 100.

  The raw data DB 110 collects and stores raw data provided from one or more IoT devices 5. The raw data DB 110 attaches a data ID indicating an attribute of each raw data to each of the raw data provided from the IoT device 5. In addition, the raw data DB 110 attaches a personal ID to each raw data to identify an individual associated with the data.

  The raw data DB 110 may store in advance data for recognizing an individual from a face image, information such as the name of each individual, and the IoT device ID of the IoT device 5 owned by each individual in association with the individual ID. . Then, the raw data DB 110 can refer to information included in the raw data provided from the IoT device 5 to determine an individual associated with the raw data, and attach an individual ID to the raw data. You may.

  The personal ID is added to data transmitted to the raw data DB 110 in accordance with the IoT device ID of the IoT device 5 and the data ID by the user IoT data management DB 150 described later, and stored in the raw data DB 110. Is also good. Information such as data for recognizing the individual from the face image, the name of each individual, and the IoT device ID of the IoT device 5 owned by each individual is stored in the user IoT data management DB 150 in advance, and the raw data DB 110 May refer to these pieces of information stored in the user IoT data management DB 150 and attach a personal ID to the raw data.

  FIG. 3 is a diagram illustrating an example of a raw data table in which raw data recorded in the raw data DB 110 is written. The raw data table includes, for each raw data, a time stamp (TimeStamp), a personal ID, an IoT device ID, and a data ID together with the raw data itself.

  The time stamp (TimeStamp) is information on the date and time of the raw data. The time stamp may be information on the date and time when the IoT device 5 acquired the raw data, or may be information received together with the raw data from the IoT device 5. Further, the time stamp may be information on the date and time when the raw data DB 110 receives the raw data from the IoT device 5.

  The raw data DB 110 may store a plurality of raw data received from a plurality of IoT devices 5 and having a common time stamp and personal ID in association with each other. In the raw data table, a plurality of raw data having a common time stamp and personal ID may be recorded in a common row together with each IoT device ID.

  As described above, the raw data table includes a plurality of IoT device IDs and raw data in association with each time stamp and personal ID. For example, in the example of the raw data table shown in FIG. 3, as the IoT device ID, an IoT device ID of “lab PC” which is information for specifying a physical device, and the raw data are generated or collected. An IoT device ID “PC smile determination process”, which is information indicating the function of the device, is included. The IoT device ID may be a number or a symbol, or may be a character string.

  The data ID is information for identifying each raw data, and is an ID unique to the raw data included in each row of the raw data table. The data ID may be a number, a symbol, or a character string. For example, as shown in FIG. 3, information on the operation history and browsing history of “PC in the laboratory” may be used as the data ID. The raw data DB 110 may identify each raw data from the data ID and the time stamp when using information on the operation history or the browsing history of the predetermined IoT device 5 as the data ID.

  As described above, the raw data DB 110 has the same time stamp as the information (user ID) indicating the state or action at the date and time indicated by the time stamp of the user “egaom03” acquired by the “PC in the laboratory”. The information on the facial expression of the user at the date and time (face point group) is stored in association with each other.

  The anonymized raw data DB 120 stores anonymized raw data obtained by performing an arbitrary number of anonymization processes on the raw data stored in the raw data DB 110. The anonymized raw data DB 120 includes, for example, anonymized data obtained by deleting a personal ID for identifying an individual from the raw data stored in the raw data DB 110, and data similar to the raw data stored in the raw data DB 110. The anonymized data that has been subjected to the averaging process may be stored.

  The preprocessing execution unit 130 generates data after preprocessing by performing one or more preprocessing on the target data, which is data collected by the raw data DB 110. The pre-processing execution unit 130 may execute various pre-processing by using an algorithm according to the type of the target data, and may generate data after the pre-processing. Further, the preprocessing execution unit 130 may execute a plurality of processes using various algorithms on the target data according to the preprocessing to be performed.

  The pre-processing execution unit 130 executes, for example, pre-processing using a “smile determination algorithm” that converts face point group data stored in the raw data DB 110 into emotion data indicating the emotion of the user. Further, the pre-processing execution unit 130 may execute a data pre-processing such as a process of removing an outlier from the numerical data of the raw data stored in the raw data DB 110.

  Further, the preprocessing execution unit 130 functions as an algorithm management unit that manages a plurality of preprocessing algorithms. The preprocessing execution unit 130, as an algorithm management unit, registers a preprocessing algorithm applicable to target data to be subjected to preprocessing in response to a request from a registration applicant.

  The preprocessing execution unit 130 generates data after preprocessing by holding information on raw data to be processed for the data after preprocessing. Further, the pre-processing execution unit 130 functions as a pre-processing ID assigning unit that assigns a pre-processing ID according to the type of pre-processing performed on the raw data to the data after the pre-processing. In addition, when executing the registered preprocessing algorithm in response to a request from a registration applicant, the preprocessing execution unit 130 assigns a preprocessing ID corresponding to the registration to the data after the preprocessing.

  The analysis DB 140 stores data after preprocessing by the preprocessing execution unit 130. FIG. 4 is a diagram illustrating an example of an analysis data table in which pre-processed data recorded in the analysis DB 140 is written. In the analysis data table, together with the data after each preprocessing, a time stamp (TimeStamp) which is information of raw data held by the preprocessing execution unit 130, a personal ID, an IoT device ID, and a data ID; ID is included.

  The anonymization analysis DB 160 stores anonymized data after preprocessing by the preprocessing execution unit 130. The anonymization analysis DB 160 transfers the preprocessed anonymized data to the service provider or the like without limitation, in response to the request. The service provider can develop various services using the data provided from the anonymization analysis DB 160. As a result, the raw data acquired using the IoT device 5 is anonymized and released to a third-party service provider, which can be useful for the development of service applications by the service provider.

  The user IoT data management DB 150 stores data for managing information and services provided to the user by the visualization device 30 and the service providing device 20 described below. Further, the user IoT data management DB 150 may have a configuration capable of executing a filtering process according to the content of the stored data.

  FIG. 5A shows a management data table of the visualization device 30 stored in the user IoT data management DB 150, and FIG. 5B shows a service providing device 20 stored in the user IoT data management DB 150. 3 shows a management data table.

  As shown in FIG. 5A, the management data table of the visualization device 30 stored in the user IoT data management DB 150 stores the IoT device ID, the data ID, the preprocessing ID, and the visualization ID in association with the personal ID. It is included. The IoT device ID may be information for the user specified by the personal ID to specify the IoT device 5 that is permitted to obtain raw data on the user. The data ID may be information for specifying data for which the user specified by the personal ID permits acquisition of raw data regarding the user. The visualization ID may be information for specifying a visualization process to be performed on the raw data, selected by the user specified by the personal ID. Information such as a visualization ID indicating the type of visualization processing to be executed on the data after the preprocessing, which will be described in detail later, is stored.

  The user can change, add, and delete the IoT device ID, data ID, and visualization ID stored in the user IoT data management DB 150 by operating the terminal device 10 described below. Also, the user may be able to change, add, and delete IoT device IDs, data IDs, and visualization IDs stored in the user IoT data management DB 150 from the IoT device 5.

  As shown in FIG. 5B, the management data table of the service providing apparatus 20 stored in the user IoT data management DB 150 stores a service ID, a data ID, a pre-processing ID, and a service trigger in association with a personal ID. It is included. The service ID is information for the user specified by the personal ID to specify an application that is permitted to provide the service. The data ID is information for specifying data referred to by an application permitted to provide a service by a user.

  The service trigger is information indicating whether the provision of the service specified by the service ID to the user specified by the personal ID is turned ON or OFF. For example, for an application for which the user is permitted to provide a service, the service trigger is turned OFF when the user is not permitted to refer to the data specified by the data ID. For an application for which the user is permitted to provide a service, the service trigger is turned ON when the user is permitted to refer to the data specified by the data ID.

  The management data table of the service providing apparatus 20 may hold log information of data transmitted from the user IoT data management DB 150 to the service providing apparatus 20.

  As described above, the user IoT data management DB 150 functions as a data association execution unit that associates an arbitrary IoT device 5 that generates target data with an owner of the data generated by the IoT device 5. In addition, the user IoT data management DB 150 functions as an application association execution unit that associates the data owner with an arbitrary application that uses the data.

  Further, the user IoT data management DB 150 generates an inquiry to the data owner according to the association between the application and the data, and transmits the inquiry to the terminal device 10 described later. As an example, the user IoT data management DB 150 may make an inquiry about authorization of association between an application and data. As described above, the user IoT data management DB 150 functions as an inquiry execution unit that makes an inquiry according to the association between the application and the data. When the user IoT data management DB 150 determines that the data required by the application is data associated with the owner and the owner owns the necessary data, the user IoT data management DB 150 provides the owner with the data. It is good also as a structure which inquires.

  The user can change, add, or delete the service ID stored in the user IoT data management DB 150 from the terminal device 10 described later. Further, the user may be able to change, add, or delete the service ID stored in the user IoT data management DB 150 in response to an inquiry from the user IoT data management DB 150.

  As described above, since the user can change, add, and delete the IoT device ID, the data ID, the visualization ID, and the service ID from the terminal device 10, the user can associate the data with the service and use the service. Release can be freely performed at any time while checking the contents.

(Visualization device 30)
The visualization device 30 performs a visualization process such as graphing on at least one of the data collected by the raw data DB 110 and the data after preprocessing by the preprocessing execution unit 130. The visualization device 30 provides the data after the visualization processing to the terminal device 10 and other functional units of the information processing system 1.

  Incidentally, the visualization device 30 can execute various visualization processes. Also, a case where there are a plurality of visualization devices 30 each performing various visualization processes, and the data after the visualization process is provided from the plurality of visualization devices 30 to the terminal device 10 and other functional units of the information processing system 1 There is. In such a case, conventionally, on the side provided with the data, it is necessary to know what kind of visualization processing has been performed on the data and which visualization apparatus 30 has performed the visualization processing. Could not.

  On the other hand, the visualization device 30 of the present embodiment assigns a visualization processing ID according to the type of the visualization processing to the data after the visualization processing. Accordingly, the side that has received the data after the visualization processing can grasp what kind of visualization processing has been performed on the data. In addition, by assigning a visualization process ID corresponding to the visualization device 30 that performs the visualization process, the side that has been provided with the data after the visualization process can know the visualization device 30 that has performed the visualization process.

  The visualization device 30 generates data after the visualization process by performing one or more visualization processes on the target data, which is data collected by the raw data DB 110. The target data on which the visualization device 30 performs the visualization processing may be data stored in the raw data DB 110 or data stored in the pre-processing analysis DB 140.

  The visualization device 30 performs visualization processing such as graphing on the target data. The visualization process performed on the target data by the visualization device 30 may be a process selected by a user through an operation of the terminal device 10. The visualization device 30 may function as a visualization process ID assigning unit that assigns a visualization process ID according to the type of the visualization process to the data after the visualization process.

(Service providing device 20)
The service providing apparatus 20 stores a service ID for specifying each of the services that can be provided. When providing a service with a predetermined service ID, the service providing apparatus 20 acquires, from the user IoT data management DB 150, data referenced by an application that provides the service. In addition, the service providing device 20 transfers the data ID of the data referred to by the provided service to the terminal device 10 together with the service ID.

  The service providing device 20 may be configured to transfer the data ID and the service ID to the terminal device 10 when the provision of the service with the predetermined service ID is requested by the user's operation on the terminal device 10. .

(Terminal device 10)
The terminal device 10 is a device that can receive a predetermined service by installing a plurality of applications such as a smartphone and activating a desired application by a user. The terminal device 10 uses the IoT device ID, the data ID, the personal ID, the pre-processing ID, and the visualization ID passed from the visualization device 30 and the data ID and the service ID passed from the service providing device 20. The specified data is transmitted to the user IoT data management DB 150 and stored.

  The user can view the data visualized by the visualization device 30 using the visualization application installed on the terminal device 10 or receive the service provided by the service providing device 20 using the service application installed on the terminal device 10. it can. The terminal device 10 may have a plurality of visualization applications and a plurality of service applications installed on the terminal device 10, and each of these applications refers to a plurality of data.

  As described above, in the terminal device 10, a plurality of applications are installed, and each of the applications may refer to a plurality of data. For this reason, there is a user demand from the terminal device 10 to easily manage applications and data.

  The terminal device 10 includes a display unit 15 and functions as an image data generation device that generates image data to be displayed on the display unit 15. In addition, the terminal device 10 includes an information acquisition unit 11 and a data candidate information acquisition unit 12. In addition, the terminal device 10 includes a display screen generation unit 13.

  The information acquisition unit (application information acquisition unit) 11 acquires application information indicating an application to be displayed on the display unit 15.

  The data candidate information acquiring unit 12 acquires data candidate information indicating a candidate for data referred to by the application.

  The display screen generating unit 13 generates one or a plurality of display screens including a list of application icons indicated by the application information and a list of data candidates indicated by the data candidate information, as described later with reference to FIG.

  As described above, the data used in the terminal device 10 and the user IoT data management DB 150 holds the IoT device ID, the preprocessing ID, and the visualization ID. Therefore, the user who receives the provision of the service and the information by the terminal device 10 and the service provider which provides the service with reference to the data stored in the user IoT data management DB 150 are provided to the data providing source and the data. Data records such as processing can be traced.

  In addition, since the terminal device 10 displays a list of application icons and a list of data candidates referred to by the application, the user can perform simple operations to enable and disable the application and reference data. You can make a choice. Therefore, the user can easily grasp the current state of the aplication and the reference data and control the data from the terminal device 10.

[Processing flow of information processing system 1]
FIG. 6 and FIG. 7 are flowcharts showing the flow of processing by the information processing system 1. FIG. 8 is a diagram illustrating a display example of the display unit 15 when a visualization application is selected in the terminal device 10. FIG. 9 is a diagram illustrating a display example of the display unit 15 when a service application is selected on the terminal device 10.

  By the way, data acquired by the IoT device 5 may include data that the user does not want to collect or use personally. On the other hand, the user may try to use the services of these service applications without recognizing that the service applications refer to data that he does not want to collect or use. As described above, there is a demand for a technology that prevents a user from using a service application that refers to data that the user does not want to collect or use.

(Step S1)
When receiving the data from the IoT device 5, the information processing apparatus 100 executes the preprocessing by the function of the preprocessing execution unit 130.

(Step S2)
In the terminal device 10, a visualization application is selected by a user. As illustrated in FIG. 8, the user selects a desired visualization application from a list of application icons displayed on the display unit 15 of the terminal device 10 by, for example, a touch operation on a touch panel. The display unit 15 of the terminal device 10 displays data visualized by the selected visualization application. For example, when the user selects a visualization application that visualizes data relating to temperature, a line graph indicating a change in temperature with respect to time is displayed on the display unit 15 of the terminal device 10.

(Step S3)
When the visualization application is selected by the user, the visualization device 30 provides the terminal device 10 with the data ID, the visualization ID, and the pre-processing ID of the data referred to by the selected visualization application. The data ID of the data provided by the visualization device 30 to the terminal device 10 and referred to by the visualization application that visualizes the data is referred to as a first data ID. The terminal device 10 functions as a first data ID acquisition unit that acquires a first data ID in the information processing system 1.

(Step S4)
After the pre-processing by the pre-processing execution unit 130, a service application is selected by the user in the terminal device 10. As illustrated in FIG. 9, the display screen generation unit 13 generates one or a plurality of screens including a screen including a list of application icons indicated by application information and a screen including a list of data candidates indicated by data candidate information. Is done. The user selects a desired service application from a list of application icons displayed on the display unit 15 of the terminal device 10 by, for example, a touch operation on a touch panel. When the user selects a service application, the display unit 15 of the terminal device 10 displays a service that can be provided by the selected application and a list of data candidates referred to by the application.

(Step S5)
When the service application is selected by the user, the service providing apparatus 20 stores the service ID of the selected service application and the data ID that is the ID of the data referred to by the service application provided to the user in the terminal device. 10 to provide. The data ID of the data provided by the service providing device 20 to the terminal device 10 and referenced by the service application is referred to as a second data ID. The terminal device 10 also functions as a second data ID acquisition unit that acquires a second data ID in the information processing system 1.

(Step S6)
The terminal device 10 determines whether the first data ID provided from the visualization device 30 is the same as the second data ID provided from the service providing device 20. If the first data ID is the same as the second data ID (YES in step S6), the terminal device 10 proceeds to step S7. If the first data ID is not the same as the second data ID (NO in step S6), the terminal device 10 proceeds to step S8.

(Step S7)
The terminal device 10 transmits a command to turn on the trigger of the service ID provided from the service providing device 20 to the user IoT data management DB 150. In the user IoT data management DB 150, the service application that refers to the data associated with the second data ID can be used by turning on the trigger of the service ID. As described above, the terminal device 10 determines that when the first data ID and the second data ID are the same, the service application that refers to the data associated with the second data ID becomes available. It functions as an output unit that outputs the indicated information.

(Step S8)
The terminal device 10 transmits a command to turn off the trigger of the service ID provided from the service providing device 20 to the user IoT data management DB 150. In the user IoT data management DB 150, the service application that refers to the data associated with the second data ID is disabled by turning off the trigger of the service ID.

  As described above, the user IoT data management DB 150 functions as an application availability control device that controls availability of each service application depending on whether the trigger of the service ID is turned on or off.

  According to these configurations, it is determined whether the first data ID, which is the ID of the data that the user wants to visualize, matches the second data ID, which is the ID of the data referenced by the service application that the user wants to use. Thus, the availability of the service application can be controlled. Therefore, a service application that refers to data that is not desired by the user will not be usable.

(About the processing flow of the information processing system 1 when providing a service to a user)
FIG. 7 is a flowchart showing a flow of processing by the information processing system 1 when providing a service to a user.

(Step S11)
When the user selects a service application by operating the terminal device 10, the user IoT data management DB 150 refers to the user's personal ID associated with the terminal device 10 and associates the personal application with the personal ID from the analysis DB 140. Call the data.

(Step S12)
The user IoT data management DB 150 determines whether or not the trigger of the service ID indicating the service application selected by the user is ON. If the user IoT data management DB 150 determines that the trigger is ON (YES in step S12), the process proceeds to step S13. If the user IoT data management DB 150 determines that the trigger is OFF (NO in step S12), the process ends.

(Step S13)
The user IoT data management DB 150 transmits the data called from the analysis DB 140 to the terminal device 10 via the service providing device 20.

(Step S14)
In the terminal device 10, a service based on the data called from the analysis DB 140 is provided by a service application selected by the user.

  In the present embodiment, the analysis DB 140 is not an essential component. In the information processing system 1 in which the analysis DB 140 does not exist, the data after the pre-processing executed by the pre-processing by the pre-processing execution unit 130 is at least one of the user IoT data management DB 150, the visualization device 30, and the terminal device 10. It may be configured to be transmitted to one.

  FIG. 10 is a diagram illustrating a list of application icons displayed on the display unit 15 of the terminal device 10 and a list of data candidates. The user can operate the terminal device 10 to install the visualization application and the service application from the application store and use the functions of each application. The user can select a desired application from a plurality of applications that can be provided in the application store and install it on the terminal device 10. Further, the user can also uninstall the application installed on the terminal device 10 by operating the terminal device 10.

  Further, as illustrated in FIG. 10, the terminal device 10 may be configured to be able to use an application that refers to data acquired by the IoT device 5 by pairing with the IoT device 5. For example, the display unit 15 of the terminal device 10 displays an icon of the IoT device 5 such as a pairable electronic device in the room. The user can pair the terminal device 10 and the IoT device 5 by selecting the IoT device 5 to be paired by operating the terminal device 10.

  For example, the user performs an operation of pairing the terminal device 10 and the television that is the IoT device 5. The display unit 15 of the terminal device 10 displays a list of icons of applications related to the paired television. Further, the display unit 15 of the terminal device 10 displays a list of data candidates to be referred to by the application, for example, “power information”, “viewing time”, “viewing channel”, “power consumption”, and the like.

  As described above, the terminal device 10 and the IoT device 5 are paired by a simple operation, and an application to be used is selected from a plurality of applications referring to data acquired by the IoT device 5 and data to be referred to. May be easily performed by the user.

[Example of software implementation]
Various functions of the information processing apparatus 100 may be realized by a logic circuit (hardware) formed in an integrated circuit (IC chip) or the like, or may be realized by software.

  In the latter case, the information processing apparatus 100 includes a computer that executes instructions of a program that is software for realizing each function. The computer includes, for example, one or more processors and a computer-readable recording medium storing the program. Then, in the computer, the object of the present invention is achieved when the processor reads the program from the recording medium and executes the program. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, in addition to “temporary tangible medium”, for example, ROM (Read Only Memory), tape, disk, card, semiconductor memory, programmable logic circuit, and the like can be used. Further, a RAM (Random Access Memory) for expanding the program may be further provided. Further, the program may be supplied to the computer via an arbitrary transmission medium (a communication network, a broadcast wave, or the like) capable of transmitting the program. One embodiment of the present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the program is embodied by electronic transmission.

  The present invention is not limited to the embodiments described above, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

1 information processing system 5 IoT device (data generation device)
10 Terminal device (image data generation device)
DESCRIPTION OF SYMBOLS 11 Information acquisition part 12 Data candidate information acquisition part 13 Display screen generation part 15 Display part 20 Service provision apparatus 30 Visualization apparatus (visualization processing execution part)
100 information processing device 130 pre-processing execution unit (pre-processing ID assigning unit, algorithm management unit)
150 User IoT data management DB (data association execution unit, application association execution unit, inquiry execution unit)

Claims (5)

An image data generation device that generates image data,
An application information acquisition unit that acquires application information indicating an application to be displayed;
A data candidate information acquisition unit for acquiring information indicating a candidate for data referred to by the application,
With
Image data generation, comprising: a display screen generation unit configured to generate one or a plurality of display screens including a list of application icons indicated by the application information and a list of data candidates indicated by the data candidate information. apparatus. The data candidate information acquisition unit,
First data, which is an ID unique to the raw data, for identifying raw data generated by a data generation device that generates the target data referred to by a visualization application that visualizes predetermined target data selected by a user ID and
An ID unique to the raw data for identifying the raw data generated by the data generation device that generates the target data referred to by the service application that provides the user with a predetermined service selected by the user. And the data ID of 2
The display screen generator,
2. The display screen including information indicating that the service application has become available when the first data ID is the same as the second data ID. An image data generating device as described in the above. The first data ID is an ID indicating an operation history or a browsing history at the time of generating the target data of the data generation device that generates the target data referred to by the visualization application,
The method according to claim 2, wherein the second data ID is an ID indicating an operation history or a browsing history at the time of generating the target data of the data generation device that generates the target data referred to by the service application. An image data generating device as described in the above. An image data generation method for generating image data,
An application information acquisition step of acquiring application information indicating an application to be displayed;
Including a data candidate information obtaining step of obtaining information indicating a candidate for data referred to by the application,
Image data generation including a display screen generation step of generating one or a plurality of display screens including an application icon list indicated by the application information and a data candidate list indicated by the data candidate information Method.   A program for causing a computer to function as the image data generation device according to claim 1, wherein the program causes a computer to function as the application information acquisition unit, the data candidate information acquisition unit, and the display screen generation unit.

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