WO2019171702A1 - Information processing device and information processing method - Google Patents

Information processing device and information processing method Download PDF

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Publication number
WO2019171702A1
WO2019171702A1 PCT/JP2018/046051 JP2018046051W WO2019171702A1 WO 2019171702 A1 WO2019171702 A1 WO 2019171702A1 JP 2018046051 W JP2018046051 W JP 2018046051W WO 2019171702 A1 WO2019171702 A1 WO 2019171702A1
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WIPO (PCT)
Prior art keywords
iot device
information processing
information
control unit
display control
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PCT/JP2018/046051
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French (fr)
Japanese (ja)
Inventor
洋貴 鈴木
勝吉 金本
絵里香 齋藤
太一 幸
高野　裕昭
佐藤　直之
Original Assignee
ソニー株式会社
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Publication of WO2019171702A1 publication Critical patent/WO2019171702A1/en

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram

Definitions

  • This disclosure relates to an information processing apparatus and an information processing method.
  • Non-Patent Document 1 describes the convenience brought about by IoT.
  • a sensor device used for IoT is installed for a specific purpose, and therefore the actual situation is that users of the sensor device and collected sensor information are limited.
  • the sensor device is installed without a purpose, the use of the collected sensor information is not fixed, and therefore, it is assumed that the installer cannot effectively use the sensor information.
  • the present disclosure proposes a new and improved information processing apparatus and information processing method capable of realizing a framework that further activates installation and effective use of the sensor apparatus.
  • a display control unit that controls information presentation related to an IoT device that is permitted to be used by a third party by an installer, the display control unit displays the IoT device in association with map information.
  • An information processing apparatus is provided.
  • the processor includes controlling information presentation related to an IoT device that is permitted to be used by a third party by the installer, and the controlling includes the IoT device as map information.
  • an information processing method further including displaying the images in association with each other.
  • the technical idea according to an embodiment of the present disclosure has been conceived by paying attention to the above points, and brings benefits to both an installer and a user of a sensor device (hereinafter also referred to as an IoT device). It also provides a framework for effectively realizing the spread and use of IoT devices.
  • played by the said structure are demonstrated in detail.
  • FIG. 1 is a block diagram illustrating a configuration example of an information processing system according to the present embodiment.
  • the information processing system according to the present embodiment includes a primary device 10, a secondary device 20, an information processing server 30, and an information processing terminal 40.
  • the above-described components are connected to each other via the network 50 so that they can communicate with each other.
  • the primary device 10 is a sensor device (physical configuration) that directly collects sensor information related to the environment and objects.
  • the primary device 10 may collect sensor information such as temperature, humidity, atmospheric pressure, illuminance, and noise in the surrounding environment.
  • the primary device 10 collects sensor information related to, for example, the movement (impact, vibration, tilt, falling, falling, moving, opening and closing, etc.) and position (existence detection, proximity detection, passage detection, etc.) of the object. May be.
  • the secondary device 20 is a virtual IoT device that outputs an inference result based on information output from other IoT devices including the primary device 10.
  • the secondary device 20 according to the present embodiment may execute an inference process using sensor information collected by a plurality of primary devices 10 and output an inference result, for example.
  • the secondary device 20 according to the present embodiment may output the new inference result by using the sensor information collected by the primary device 10 and the inference result by another secondary device 20 as inputs.
  • the secondary device 20 predicts the next day's weather at the collection point of the sensor information based on the sensor information collected by the primary device 10 such as temperature, humidity, and atmospheric pressure. It is possible to output as an inference result.
  • the information processing server 30 is an information processing apparatus that provides a framework that connects an installer of an IoT device including the primary device 10 and the secondary device 20 and a user of the IoT device.
  • the information processing server 30 controls, for example, a user interface for an installer to register an IoT device and a user interface for a user to search for an IoT device.
  • the information processing terminal 40 is an information processing apparatus that is operated by an installer or user of the IoT device. Based on the control by the information processing server 30, the user interface as described above is installed on the installer and the user. To provide.
  • the network 50 has a function of connecting the above components.
  • the network 50 may include a public line network such as the Internet, a telephone line network, a satellite communication network, various LANs (Local Area Network) including Ethernet (registered trademark), a WAN (Wide Area Network), and the like.
  • the network 50 may include a dedicated line network such as an IP-VPN (Internet Protocol-Virtual Private Network).
  • the network 50 may include a wireless communication network such as Wi-Fi (registered trademark) or Bluetooth (registered trademark).
  • the configuration example of the information processing system according to the present embodiment has been described above. Note that the configuration described above with reference to FIG. 1 is merely an example, and the configuration of the information processing system according to the present embodiment is not limited to the example. The configuration of the information processing system according to the present embodiment is not limited to specifications or operations. It can be flexibly deformed accordingly.
  • FIG. 2 is a block diagram illustrating a functional configuration example of the primary device 10 and the secondary device 20 according to the present embodiment.
  • the primary device 10 includes a sensor unit 110, a control unit 120, and a communication unit 130.
  • the secondary device 20 includes an inference unit 210, a control unit 220, and a communication unit 230.
  • the sensor unit 110 collects various sensor information related to the environment and objects.
  • the sensor unit 110 according to the present embodiment includes various sensors.
  • the sensor unit 110 may include, for example, a temperature sensor, a humidity sensor, an atmospheric pressure sensor, an optical sensor, an acceleration sensor, a gyro sensor, a geomagnetic sensor, an imaging sensor, a microphone, and the like.
  • Control unit 120 The control unit 120 according to this embodiment controls sensor information collection control by the sensor unit 110 and transmission of sensor information by the communication unit 130. Further, the control unit 120 may set whether or not the sensor information can be used by a third party based on the operation of the installer.
  • the communication unit 130 transmits the sensor information collected by the sensor unit 110 to the information processing server 30 via the network 50 based on the control by the control unit 120.
  • the communication unit 130 may transmit the installation position of the primary device 10 and property information together with the sensor information.
  • the inference unit 210 performs an inference process based on sensor information collected by the primary device 10.
  • the inference unit 210 may output the inference result using various algorithms according to the input data and the inferred data.
  • Control unit 120 The control unit 120 according to the present embodiment controls inference processing by the inference unit 210 and transmission of inference results by the communication unit 230. Moreover, the control part 120 may set the availability of the inference result by a third party based on the operation of the installer or the like.
  • the communication unit 230 transmits the inference result output from the inference unit 210 to the information processing server 30 via the network 50 based on control by the control unit 220.
  • the functional configuration examples of the primary device 10 and the secondary device 20 according to an embodiment of the present disclosure have been described. Note that the above-described configuration described with reference to FIG. 2 is merely an example, and the configurations of the primary device 10 and the secondary device 20 according to the present embodiment are not limited to the example. The configurations of the primary device 10 and the secondary device 20 according to the present embodiment can be flexibly modified according to specifications and operations.
  • FIG. 3 is a block diagram illustrating a functional configuration example of the information processing server 30 and the information processing terminal 40 according to the present embodiment.
  • the information processing server 30 includes a display control unit 310, a graphic generation unit 320, a storage unit 330, and a communication unit 340.
  • the information processing terminal 40 includes an input unit 410, a display unit 420, and a communication unit 430.
  • the display control unit 310 controls display of a user interface used by the installer and user of the IoT device.
  • the display control unit 310 controls, for example, display of a user interface for an installer to register an IoT device and a user interface for a user to search for an IoT device.
  • the display control unit 310 may control information presentation related to an IoT device that is permitted to be used by a third party by the installer based on a search by the user.
  • one feature of the display control unit 310 according to the present embodiment is to display the IoT device including the primary device 10 and the secondary device 20 in association with the map information. Details of the functions of the display control unit 310 according to the present embodiment will be described later.
  • the graphic generation unit 320 has a function of generating a character graphic corresponding to the IoT device based on the characteristics of the IoT device.
  • the display control unit 310 may visualize the IoT device on a map using the character graphic generated by the graphic generation unit 320. Details of the functions of the graphic generation unit 320 according to the present embodiment will be described later.
  • the storage unit 330 integrally stores information on IoT devices.
  • the storage unit 330 may store, for example, the installation position of the IoT device, the collected sensor information, or the output inference result.
  • the storage unit 330 stores and manages the availability of IoT device installers and third parties, and user information.
  • the communication unit 340 performs information communication with the primary device 10, the secondary device 20, and the information processing terminal 40 via the network 50.
  • the communication unit 340 receives the sensor information collected by the primary device 10 and the inference result output by the secondary device 20, and transmits a control signal related to the above-described user interface to the information processing terminal 40.
  • the input unit 410 detects an input operation by an IoT device installer or user.
  • the input unit 410 detects, for example, an IoT device registration operation by an IoT device installer, a search operation by a IoT device user, and the like.
  • the input unit 410 according to the present embodiment includes input devices such as a keyboard, a mouse, and various buttons.
  • the display unit 420 displays a user interface based on control by the information processing server 30.
  • the display unit 420 according to the present embodiment includes various display devices and touch panels.
  • the communication unit 430 performs information communication with the information processing server 30 via the network 50. Specifically, the communication unit 430 receives a control signal related to display of the user interface from the information processing server 30. In addition, the communication unit 430 transmits information related to the input operation detected by the input unit 410 to the information processing server 30.
  • the function configuration examples of the information processing server 30 and the information processing terminal 40 according to an embodiment of the present disclosure have been described above. Note that the above-described configuration described with reference to FIG. 3 is merely an example, and the configurations of the information processing server 30 and the information processing terminal 40 according to the present embodiment are not limited to the example. The configurations of the information processing server 30 and the information processing terminal 40 according to the present embodiment can be flexibly modified according to specifications and operations.
  • one feature of the display control unit 310 according to the present embodiment is that the IoT device that is permitted by a third party to be used by the installer is displayed in association with the map information.
  • the map information according to the present embodiment may include information related to a physical space map obtained by reducing the physical space.
  • the physical space map may be, for example, a map schematically showing topography and a traffic network in an arbitrary existing area. That is, the display control unit 310 according to the present embodiment can cause the information processing terminal 40 to display the IoT device installation position in association with the physical space map.
  • the display control unit 310 acquires an IoT device that is close to the specified position on the physical space map (for example, the physical distance is within a threshold) based on the specified position input by the user.
  • the character corresponding to the IoT device may be displayed on the physical space map.
  • the display control unit 310 can acquire the IoT device to be displayed based on the installation position stored in the storage unit 330, availability or the like.
  • the display control unit 310 may determine the arrangement on the physical space map based on the physical installation position transmitted from the primary device 10.
  • the display control unit 310 is a virtual installation position on the physical space map based on the physical installation position of the primary device 10 that collects sensor information used by the secondary device 20. May be determined.
  • the user can easily grasp the IoT device arranged in the vicinity of the designated position, and effective use of the IoT device is effective. The effect promoted by this is expected.
  • the user according to the present embodiment is defined as a user who uses either the sensor information collected by the primary device 10 or the inference result output by the secondary device 20. For this reason, it can be said that the installer of the secondary device according to the present embodiment is a user of the primary device or another secondary device at the same time.
  • one feature of the display control unit 310 according to the present embodiment is that the character corresponding to the IoT device generated by the graphic generation unit 320 is arranged on the physical space map.
  • the graphic generation unit 320 according to the present embodiment can dynamically generate a graphic of a character corresponding to the IoT device based on the characteristics of the IoT device.
  • the graphic generation unit 320 may generate a graphic of the character based on the feature selected by the installer from the list when registering the primary device 10.
  • the characteristics of the primary device 10 are defined by three major classifications, “data type”, “data acquisition frequency”, and “installed part type”.
  • the “data type” includes three categories of “weather”, “movement”, and “state”, and the “data acquisition frequency” includes three categories of “high”, “medium”, and “low”.
  • three categories of “building”, “creature”, and “small mobile object” are defined in the “installed object type”.
  • each of the above classifications is associated with a graphic design characterized by different colors, shapes, sizes, outline line types, sharpness (frequency), effects, and the like.
  • said classification is an example to the last, and the production
  • the classification “meteorology” further defines the subclasses “temperature”, “humidity”, “barometric pressure”, “wind power”, “illuminance”, etc., and each subclass incorporates features for each data type.
  • a graphic design may be created in advance.
  • the secondary device 20 is an IoT device that outputs an inference result using information collected and output by the primary device 10 or another secondary device 20.
  • the graphic generation unit 320 uses the secondary device 20 based on the feature classification of the IoT device used for inference and the feature classification related to the inference result output by the secondary device 20. Twenty graphics may be generated.
  • the graphic generation unit 320 selects the main in each major classification of three IoT devices including the secondary device 20. You may make a graphic design determine an important component. In addition, regarding the “data acquisition frequency”, the graphic generation unit 320 may use an average frequency related to the three IoT devices as a frequency for determining a graphic outline.
  • the graphic generation unit 320 uses the IoT device used by the secondary device 20 for inference, the characteristics of the inference result as genes, and the IoT device used for input, that is, the parent gene and the inference result gene. And the graphic of the secondary device 20 may be generated.
  • FIG. 4 is a diagram for explaining an example of graphic generation of the secondary device 20 according to the present embodiment.
  • characters C1a and C1b corresponding to the two primary devices 10 used by the secondary device 20 for input, and characters Ce corresponding to the inference results are shown.
  • the graphics of the characters C1a, C1b, and Ce are composed of three parts determined by the above feature classification.
  • the character C1a has parts PAx, PBx, and PCx.
  • the character C1b has parts PAy, PBy, and PCy, and the character Ce has parts PAz, PBz, and PCz.
  • the graphic generation unit 320 may first generate the graphic of the character Ci by intersecting the genes of the characters C1a and C1b corresponding to the two input primary devices 10, that is, the parts. In the example shown in FIG. 4, the graphic generation unit 320 generates a character Ci that inherits the parts PAx and PBx from the character C1a and the parts PCy from the character C1b. At this time, the graphic generation unit 320 may randomly select a part to be adopted.
  • the graphic generation unit 320 intersects the character Ci generated as described above and the part of the character Ce corresponding to the inference result to generate a final graphic C2 corresponding to the secondary device 20.
  • the graphic generation unit 320 generates a character C2 that inherits the part PBx from the character Ci and the parts PAz and PCz from the character Ce.
  • the graphic generation unit 320 it is possible to generate the graphic of the secondary device 20 reflecting the characteristics of the IoT device used by the secondary device 20 for inference. At this time, by reflecting the characteristics related to the inference result of the secondary device 20 in the graphic design, even if the IoT devices used for input are the same, a different graphic design is generated according to the inference result. Is possible.
  • the graphic generation unit 320 it is possible to generate various graphics reflecting the characteristics of the IoT device. Further, the display control unit 310 arranges the graphic generated as described above on the physical space map, so that the feature of the IoT device can be intuitively perceived by the user.
  • the graphic generation method described above is merely an example, and the graphic generation unit 320 according to the present embodiment may generate character graphics using other generation methods.
  • the graphic generation unit 320 may store a graphic design group (design pool) prepared in advance. A graphic design selected by the installer may be adopted. At this time, it is desirable that a design corresponding to the scarce value of the data provided by the IoT device is prepared in the design pool.
  • an ordinary sensor such as a temperature sensor can be associated with a mediocre design
  • a rare sensor such as a Geiger counter can be associated with a rare design.
  • the characteristics of the registered IoT device are close to the existing classification (for example, when “installed object type” is “building”, but other characteristic classification does not apply to the existing classification), they are similar. Only graphic designs that satisfy the characteristics may be filtered from the design pool to create a subset, and the installer may select a graphic design from the subset. In this case, the newly registered graphic of the IoT device can be set so as not to deviate from the existing design rule. Note that whether or not the registered IoT device is applicable to the existing feature classification may be determined based on a feature amount as described later.
  • the graphic generation unit 320 may process the graphic designed by the installer and use it as a character graphic corresponding to the IoT device. At this time, the graphic generation unit 320 can maintain the unification of design rules by, for example, style transferring the design by the installer according to the existing graphic design.
  • the graphic generation by the graphic generation unit 320 according to the present embodiment has been described above. According to the graphic generation according to the present embodiment, by reflecting the characteristics of the IoT device in the graphic, the user can intuitively grasp the characteristics such as the data type of the IoT device.
  • the graphic according to the present embodiment may dynamically change according to the status of the IoT device.
  • the graphic generation unit 320 according to the present embodiment can change the graphic according to the usage status of the IoT device.
  • the graphic generation unit 320 may perform control so that the graphic corresponding to the IoT device changes according to the usage frequency of the IoT device.
  • FIG. 5 is a diagram for explaining a graphic change according to the usage frequency according to the present embodiment.
  • each IoT device is associated with an index called “LIFE” indicating the usage frequency.
  • LIFE is an index that increases in proportion to the usage frequency of the IoT device. The higher the “LIFE”, the higher the usage frequency, and the lower the “LIFE”, the lower the usage frequency. Indicates.
  • the graphic generation unit 320 may change the graphic corresponding to the IoT device according to the value of “LIFE” of the IoT device. Specifically, the graphic generation unit 320 according to the present embodiment may perform control so that the graphic of the character becomes more conspicuous as the value of “LIFE” increases.
  • the graphic generation unit 320 performs control so that the graphic of the character C2 grows according to the value of “LIFE”.
  • the user finds a high-quality IoT device by making the graphic corresponding to the IoT device having high demand and higher value for the user more conspicuous. It is expected to have an effect of facilitating the creation of an IoT device with higher utility value by appealing to the psychology of the installer who wants to grow the character graphic.
  • the graphic generation unit 320 changes (grows) the shape of the graphic according to “LIFE” has been described as an example.
  • the graphic change according to the present embodiment is not limited to this example.
  • the graphic generation unit 320 may change, for example, the size of the graphic, the density of the color, and the like according to “LIFE”.
  • the graphic generation unit 320 may produce an effect such as adding a glow to the contour or background of the graphic and making it stand out by changing the luminance.
  • the “LIFE” according to the present embodiment may be used for determining the charge amount for the user. For example, it is possible to set so that the higher the “LIFE”, the higher the charge amount for the user.
  • FIG. 6 is a presentation example of IoT device information associated with the physical space map according to the present embodiment.
  • the display control unit 310 acquires information on an IoT device whose distance is within the threshold from the position specified by the user, and processes the information in association with the physical space map. It is displayed on the display unit 420 of the terminal 40.
  • the display control unit 310 includes two characters C1a and C1b corresponding to the two primary devices 10 whose physical installation positions are within the threshold from the specified position, and the virtual installation positions from the specified position. Characters C2a and C2b corresponding to two secondary devices 20 within the threshold are arranged on the physical space map.
  • the graphics of the characters C1a, C1b, C2a, and C2b may be generated based on the characteristics of each IoT device as described above, and may be changed according to “LIFE”.
  • “LIFE” of each IoT device is indicated by the size of the character.
  • the user can intuitively find the IoT device that the user wants by intuitively indicating the installation position, characteristics, and usage frequency of the IoT device by the graphic of the character. It becomes possible to assist.
  • the display control unit 310 may perform filtering of IoT devices arranged on the map according to various conditions specified by the user.
  • the display control unit 310 can search for and display IoT devices based on, for example, the “data type” designated by the user, the height of “LIFE”, and the like.
  • the display control unit 310 may search and display an IoT device installed within the threshold with the distance specified by the user as a threshold. In this case, the display control unit 310 can perform control so that the scale of the physical space map is automatically enlarged or reduced according to the threshold set by the user.
  • the display control unit 310 can display an IoT device in association with a feature space map in addition to a physical space map.
  • the graphic of the character corresponding to the IoT device according to the present embodiment is generated based on the characteristics of the IoT device.
  • the display control unit 310 according to the present embodiment can indicate the feature of the IoT device by the position on the feature space. The characteristics of IoT devices
  • FIG. 7 is a diagram for explaining information presentation of the IoT device associated with the feature space map according to the present embodiment.
  • the left side of FIG. 7 is defined by a total of 27 classifications of “data type” (3 classifications), “data acquisition frequency” (3 classifications), and “installed object type” (3 classifications) used in the above description.
  • the feature space (discrete) is shown.
  • the display control unit 310 determines the display position on the feature space based on the feature of the IoT device Da.
  • the display control unit 310 may perform visualization using a two-dimensional map as illustrated on the right side of FIG. 7 in addition to the 3D representation illustrated on the left side of FIG.
  • the display control unit 310 arranges the three IoT devices Da to Dc on the two-dimensional map based on the respective characteristics.
  • the IoT devices Da and Db have characteristics of “data type: weather”, “installed object type: small mobile object”, and “data acquisition frequency: high”. It has the characteristics of “type: status”, “installed object type: small mobile object”, and “data acquisition frequency: small”.
  • the display control unit 310 has the IoT device's feature in a multidimensional feature space expressed by continuous quantities.
  • the display may be controlled.
  • FIG. 8 shows a multidimensional feature space in which each feature quantity is a continuous quantity.
  • the display control unit 310 can determine the position in the multidimensional space based on the respective feature amounts of the IoT devices a to c.
  • each IoT device is shown using a different pattern for each cluster for convenience in order to improve visibility.
  • the feature space is expressed in a three-dimensional space, but actually, the readability decreases as the number of dimensions increases.
  • the display control unit 310 dimensionally compresses a feature space expressed in multiple dimensions into a two-dimensional space, and the position of the IoT device on the feature space map. May be expressed.
  • the display control unit 310 can use a dimension reduction technique focusing on linear elements, a dimension reduction technique considering nonlinear components, or the like.
  • Examples of the dimension reduction technique focusing on linear elements include Random Projection, PCA (Principal Component Analysis), and Linear Discriminant Analysis.
  • the dimensionality reduction technique that focuses on the nonlinear component, e.g., Isomap, Locally Linear Embedding, Modified Locally Linear Embedding, Hessian Eigenmapping, Spectral Embedding, Local Tangent Space Alignment, Multi-dimensional Scaling, t-SNE, Random Forest Embedding such Is mentioned.
  • the display control unit 310 can reduce the feature dimension with low variance by using the above-described methods, or reduce the dimension so that the similarity (distance) between elements is maintained even in the two-dimensional compression space. Is possible.
  • the information presentation of the IoT device associated with the feature space map according to the present embodiment has been described above. According to the function of the display control unit 310 according to the present embodiment, it is possible to express the characteristics of the IoT device on the map with higher accuracy. Further, the display control unit 310 according to the present embodiment may have a function of searching for an IoT device having similar characteristics based on the characteristics of the IoT device specified by the user.
  • FIG. 9 is a diagram for explaining the search for the IoT device using the feature space map according to the present embodiment.
  • FIG. 9 shows a feature space map compressed into a two-dimensional space.
  • the display control unit 310 searches the feature space map for an IoT device whose distance is within the threshold from the specified IoT device De, and performs display control so that information on the IoT device is presented to the user. .
  • information on the IoT devices Db and Dd may be presented to the user.
  • the display control unit 310 it is possible to search for an IoT device having characteristics similar to the specified IoT device with high accuracy, and greatly improve the convenience for the user. be able to.
  • the user may perform a search by directly inputting a feature (discrete or continuous amount) instead of the IoT device.
  • the display control unit 310 may have a function related to the formation of a community to which the installer of the IoT device belongs in addition to the search / display control described above. Specifically, the display control unit 310 selects members of the community based on the characteristics of the IoT device installed by the installer, and controls so that the installers can exchange opinions by chat or the like in the community. May be done.
  • the display control unit according to the present embodiment may select a member of the community using the feature space map described above.
  • FIG. 10 is a diagram for explaining community formation using the feature space map according to the present embodiment.
  • FIG. 10 shows a plurality of IoT devices in a feature space map compressed into a two-dimensional space.
  • the display control unit 310 can select an installer who has installed an IoT device having a similar feature amount as a member of the same community.
  • the display control unit 310 forms a community CM composed of installers who install IoT devices Df to Di that are close to each other in the feature space map, that is, belong to the same cluster. According to the community formation described above, it is expected that opinions regarding technologies and trends will be exchanged between installers who install similar IoT devices, and creation of higher-value IoT devices will be performed.
  • the display control unit 310 may dare to assign an installer who has installed an IoT device having similar characteristics to the same community.
  • the display control unit 310 forms a community CM2 composed of installers of the IoT devices Da and Db having features that are not similar to each other. In this case, it is expected that new IoT devices will be created by exchanging ideas, etc., which were not thought of each other, among the installers of dissimilar IoT devices. Is done.
  • FIG. 11 is a flowchart showing a flow of control by the information processing server 30 according to the present embodiment.
  • the communication unit 340 receives IoT device information when registering the primary device 10 and the secondary device 20 (S1101).
  • the received IoT device information is stored in the storage unit 330.
  • the graphic generation unit 320 generates a graphic of the character corresponding to the IoT device based on the feature specified from the IoT device information received in step S1101 (S1102).
  • the graphic generation unit 320 stores the generated graphic in the storage unit 330 in association with the IoT device information.
  • the display control unit 310 searches for the corresponding IoT device information from the storage unit 330 based on a search operation by the user, and displays the corresponding graphic on the display unit 420 in association with the map information (S1103). ).
  • the graphic generation unit 320 continuously controls the graphic corresponding to the IoT device to change according to the usage frequency of the IoT device (S1104).
  • the higher the usage frequency by the user the greater the accumulation of installers of IoT devices. For this reason, there is a motivation to install a valuable IoT device in an area where there is little or no competition, and it is expected that various IoT devices will be installed in a wide area. Also, once the IoT device is installed, if the quality cannot be maintained, the frequency of use will decrease, and the user will flow to the competitors. Therefore, the IoT device installer will strive to maintain high data quality. It is assumed that
  • the display control unit 310 can present where, how often, and how often the IoT device is used using a map-based user interface. . According to such control, the user can intuitively grasp a lot of information, and it is possible to realize effective information presentation.
  • the installer of the secondary device 20 wants to create a secondary device 20 having a higher “LIFE”, that is, a higher profit, by inputting the primary device 10 having a lower “LIFE”, that is, an inexpensive one.
  • the psychology is born. For this reason, since the low “LIFE” secondary device 20 that receives the primary device 10 having a high “LIFE” is high in cost, the secondary device 20 is forced to be withdrawn as a result. There is a mechanism in which only the next device 20 survives.
  • the usage amount is reduced regardless of “LIFE” for a certain period or a certain amount of data, or It is also possible to lower the psychological threshold for use by making it free.
  • the secondary device 20 that imitates “LIFE” in one area and is similar in another area. It is assumed that there will be a movement to install Also, in this case, for reasoning that depends on the location (for example, ice demand prediction is high value in hot regions but low value in cold regions), there is little demand, so a copy that is not worth sometime. Will be.
  • a graphic reflecting the characteristics of the IoT device is generated. Therefore, the user can intuitively grasp various information related to the IoT device such as the data type from the graphic. Further, according to the information processing server 30 according to the present embodiment, the above graphic can be arranged on a map, the visibility is improved, and an IoT device created from a thought similar to that of the user is searched. There is a feeling that it is desired to create a new secondary device 20 by confirming details of an IoT device having an unexpected design.
  • the graphic generation according to the present embodiment since a new design is automatically generated based on the characteristics of the IoT device, a new characteristic can be obtained according to the psychology of creating a character having an unprecedented graphic. Creation of the secondary device 20 is promoted, and an effect that a wide variety of inference data is widely shared is expected.
  • FIG. 12 is a block diagram illustrating a hardware configuration example of the information processing server 30 according to an embodiment of the present disclosure.
  • the information processing server 30 includes, for example, a processor 871, a ROM 872, a RAM 873, a host bus 874, a bridge 875, an external bus 876, an interface 877, an input device 878, and an output device 879.
  • the hardware configuration shown here is an example, and some of the components may be omitted. Moreover, you may further include components other than the component shown here.
  • the processor 871 functions as, for example, an arithmetic processing unit or a control unit, and controls all or part of the operation of each component based on various programs recorded in the ROM 872, RAM 873, storage 880, or removable recording medium 901. .
  • the ROM 872 is a means for storing a program read by the processor 871, data used for calculation, and the like.
  • a program to be read by the processor 871 various parameters that change as appropriate when the program is executed, and the like are temporarily or permanently stored.
  • the processor 871, the ROM 872, and the RAM 873 are connected to each other via, for example, a host bus 874 capable of high-speed data transmission.
  • the host bus 874 is connected to an external bus 876 having a relatively low data transmission speed via a bridge 875, for example.
  • the external bus 876 is connected to various components via an interface 877.
  • the input device 878 for example, a mouse, a keyboard, a touch panel, a button, a switch, a lever, or the like is used. Furthermore, as the input device 878, a remote controller (hereinafter referred to as a remote controller) capable of transmitting a control signal using infrared rays or other radio waves may be used.
  • the input device 878 includes a voice input device such as a microphone.
  • the output device 879 is a display device such as a CRT (Cathode Ray Tube), LCD, or organic EL, an audio output device such as a speaker or a headphone, a printer, a mobile phone, or a facsimile. It is a device that can be notified visually or audibly.
  • the output device 879 according to the present disclosure includes various vibration devices that can output a tactile stimulus.
  • the storage 880 is a device for storing various data.
  • a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, a magneto-optical storage device, or the like is used.
  • the drive 881 is a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, or writes information to the removable recording medium 901.
  • a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory
  • the removable recording medium 901 is, for example, a DVD medium, a Blu-ray (registered trademark) medium, an HD DVD medium, or various semiconductor storage media.
  • the removable recording medium 901 may be, for example, an IC card on which a non-contact IC chip is mounted, an electronic device, or the like.
  • connection port 882 is a port for connecting an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE 1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or an optical audio terminal. is there.
  • an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE 1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or an optical audio terminal. is there.
  • the external connection device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, or an IC recorder.
  • the communication device 883 is a communication device for connecting to a network.
  • the information processing server 30 includes the display control unit 310 that controls information presentation related to the IoT device that is permitted to be used by a third party by the installer.
  • One feature of the display control unit 310 according to an embodiment of the present disclosure is to display the IoT device in association with the map information. According to this configuration, it is possible to realize a framework that further activates the installation and effective use of the sensor device.
  • each step related to the processing of the information processing server 30 in this specification does not necessarily have to be processed in time series in the order described in the flowchart.
  • each step related to the processing of the information processing server 30 may be processed in an order different from the order described in the flowchart, or may be processed in parallel.
  • a display control unit that controls information presentation related to an IoT device that is permitted to be used by a third party by an installer; With The display control unit displays the IoT device in association with map information.
  • Information processing device includes a primary device that is a physical configuration having a function of collecting sensor information, and a secondary device that outputs an inference result based on information output by the other IoT devices.
  • the information processing apparatus according to (1) (3)
  • the map information includes information related to a physical space map obtained by reducing a physical space, The display control unit displays an installation position of the IoT device on the physical space map; The information processing apparatus according to (2).
  • the display control unit includes a virtual installation position of the secondary device determined from a physical installation position of the primary device and a physical installation position of the primary device that collects sensor information used by the secondary device. Display the correct installation position on the physical space map, The information processing apparatus according to (3).
  • the display control unit displays the IoT device in association with the map information based on the characteristics of the IoT device, The characteristics include at least one of a data type, a data acquisition frequency, or an installed object type of the IoT device.
  • the information processing apparatus according to any one of (2) to (4).
  • the map information includes information related to a feature space map that visualizes the feature space; The display control unit displays the position of the IoT device in the feature space map based on the feature of the IoT device.
  • the information processing apparatus displays a position of the IoT device in the feature space map obtained by dimensionally compressing the feature space into a two-dimensional space;
  • the information processing apparatus according to (6).
  • the display control unit acquires, based on the map information, the IoT device whose distance from a specified position is within a threshold and displays the IoT device on a map.
  • the information processing apparatus according to any one of (1) to (7).
  • the display control unit acquires the IoT device whose distance from a specified position is within a threshold in a physical space map with a reduced physical space, and displays the IoT device on the physical space map.
  • the information processing apparatus according to (8).
  • the display control unit acquires the IoT device having a distance from a specified position within a threshold in a feature space map that visualizes the feature space, and displays the IoT device on the feature space map.
  • the information processing apparatus according to (8) or (9).
  • the display control unit performs control related to formation of a community that promotes communication between the installers.
  • the information processing apparatus according to any one of (1) to (10).
  • the display control unit selects the installer to be a member of the community based on the similarity of features between the IoT devices.
  • (13) The display control unit selects the installer to be a member of the community based on a distance between the IoT devices in a feature space map that visualizes a feature space.
  • the information processing apparatus according to (11) or (12).
  • the display control unit displays a character corresponding to the IoT device in association with the map information, The graphic of the character is generated based on characteristics of the IoT device.
  • the information processing apparatus according to any one of (1) to (13).
  • the display control unit displays the character whose graphic changes according to the usage frequency of the IoT device by the third party in association with the map information.
  • the information processing apparatus according to (14).
  • the IoT device includes a primary device having a physical configuration having a function of collecting sensor information, The graphic generation unit generates a graphic of the character related to the primary device based on a visual expression set for each feature classification of the primary device.
  • the IoT device includes a secondary device that outputs an inference result based on information output by the other IoT device, The graphic generation unit generates a graphic of the character related to the secondary device based on a feature classification of the IoT device used for inference by the secondary device.
  • (19) The graphic generation unit generates a graphic of the character related to the secondary device based on the feature classification of the inference result output by the secondary device;
  • the processor controls the presentation of information relating to IoT devices that are permitted for use by third parties by the installer; Including The controlling includes displaying the IoT device in association with map information; Further including Information processing method.

Abstract

[Problem] To implement a framework capable of better promoting the installation and the effective use of a sensor device. [Solution] Provided is an information processing device that includes a display control unit for controlling the presentation of information associated with an IoT device which an installer authorizes a third party to use, wherein the display control unit displays the IoT device in association with map information. Further provided is an information processing method wherein a processor controls the presentation of information associated with an IoT device which an installer authorizes a third party to use, and the control further includes displaying the IoT device in association with map information.

Description

情報処理装置および情報処理方法Information processing apparatus and information processing method
　本開示は、情報処理装置および情報処理方法に関する。 This disclosure relates to an information processing apparatus and an information processing method.
　近年、情報処理技術の発展に伴い、種々のセンサ装置が普及している。また、センサ装置が収集したセンサ情報を組み合わせ、加工することにより、さらに価値のある情報を創出するＩｏＴ（Ｉｎｔｅｒｎｅｔ　ｏｆ　Ｔｈｉｎｇｓ）と呼ばれる仕組みが提唱されている。例えば、非特許文献１には、ＩｏＴがもたらす利便性について記載されている。 In recent years, with the development of information processing technology, various sensor devices have become widespread. Also, a mechanism called IoT (Internet of Things) has been proposed that creates more valuable information by combining and processing sensor information collected by the sensor device. For example, Non-Patent Document 1 describes the convenience brought about by IoT.
　しかし、一般的に、ＩｏＴに用いられるセンサ装置は、特定の目的のために設置されるため、当該センサ装置や収集されるセンサ情報の利用者は限定されているのが実情である。一方、目的なしにセンサ装置を設置した場合、収集されるセンサ情報の用途が定まっていないことから、設置者がセンサ情報を有効に活用できない場合も想定される。 However, in general, a sensor device used for IoT is installed for a specific purpose, and therefore the actual situation is that users of the sensor device and collected sensor information are limited. On the other hand, when the sensor device is installed without a purpose, the use of the collected sensor information is not fixed, and therefore, it is assumed that the installer cannot effectively use the sensor information.
　そこで、本開示では、センサ装置の設置および有効利用をより活性化するフレームワークを実現することが可能な、新規かつ改良された情報処理装置および情報処理方法を提案する。 Therefore, the present disclosure proposes a new and improved information processing apparatus and information processing method capable of realizing a framework that further activates installation and effective use of the sensor apparatus.
　本開示によれば、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御する表示制御部、を備え、前記表示制御部は、前記ＩｏＴデバイスを地図情報と関連付けて表示させる、情報処理装置が提供される。 According to the present disclosure, a display control unit that controls information presentation related to an IoT device that is permitted to be used by a third party by an installer, the display control unit displays the IoT device in association with map information. An information processing apparatus is provided.
　また、本開示によれば、プロセッサが、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御すること、を含み、前記制御することは、前記ＩｏＴデバイスを地図情報と関連付けて表示させること、をさらに含む、情報処理方法が提供される。 Further, according to the present disclosure, the processor includes controlling information presentation related to an IoT device that is permitted to be used by a third party by the installer, and the controlling includes the IoT device as map information. There is provided an information processing method further including displaying the images in association with each other.
　以上説明したように本開示によれば、センサ装置の設置および有効利用をより活性化するフレームワークを実現することが可能となる。 As described above, according to the present disclosure, it is possible to realize a framework that further activates installation and effective use of the sensor device.
　なお、上記の効果は必ずしも限定的なものではなく、上記の効果とともに、または上記の効果に代えて、本明細書に示されたいずれかの効果、または本明細書から把握され得る他の効果が奏されてもよい。 Note that the above effects are not necessarily limited, and any of the effects shown in the present specification, or other effects that can be grasped from the present specification, together with or in place of the above effects. May be played.
本開示の一実施形態に係る情報処理システムの構成例を示すブロック図である。It is a block diagram showing an example of composition of an information processing system concerning one embodiment of this indication. 同実施形態に係る１次デバイスおよび２次デバイスの機能構成例を示すブロック図である。It is a block diagram which shows the function structural example of the primary device and secondary device which concern on the embodiment. 同実施形態に係る情報処理サーバおよび情報処理端末の機能構成例を示すブロック図である。It is a block diagram showing an example of functional composition of an information processing server and an information processing terminal concerning the embodiment. 同実施形態に係る２次デバイスのグラフィック生成の一例について説明するための図である。It is a figure for demonstrating an example of the graphic production | generation of the secondary device which concerns on the embodiment. 同実施形態に係る利用頻度に応じたグラフィックの変化について説明するための図である。It is a figure for demonstrating the change of the graphic according to the usage frequency which concerns on the embodiment. 同実施形態に係る物理空間地図上と関連付いたＩｏＴデバイス情報の提示例である。It is an example of presentation of IoT device information associated with the physical space map according to the embodiment. 同実施形態に係る特徴空間地図と対応付いたＩｏＴデバイスの情報提示について説明するための図である。It is a figure for demonstrating the information presentation of the IoT device matched with the feature space map which concerns on the embodiment. 同実施形態に係る特徴空間地図と対応付いたＩｏＴデバイスの情報提示について説明するための図である。It is a figure for demonstrating the information presentation of the IoT device matched with the feature space map which concerns on the embodiment. 同実施形態に係る特徴空間地図を用いたＩｏＴデバイスの検索について説明するための図である。It is a figure for demonstrating the search of the IoT device using the feature space map which concerns on the embodiment. 同実施形態に係る特徴空間地図を利用したコミュニティ形成について説明するための図である。It is a figure for demonstrating community formation using the feature space map which concerns on the embodiment. 同実施形態に係る情報処理サーバによる制御の流れを示すフローチャートである。It is a flowchart which shows the flow of control by the information processing server which concerns on the embodiment. 本開示の一実施形態に係る情報処理サーバのハードウェア構成例を示す図である。It is a figure showing an example of hardware constitutions of an information processing server concerning one embodiment of this indication.
　以下に添付図面を参照しながら、本開示の好適な実施の形態について詳細に説明する。なお、本明細書及び図面において、実質的に同一の機能構成を有する構成要素については、同一の符号を付することにより重複説明を省略する。 Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In addition, in this specification and drawing, about the component which has the substantially same function structure, duplication description is abbreviate | omitted by attaching | subjecting the same code | symbol.
　なお、説明は以下の順序で行うものとする。
　１．実施形態
　　１．１．概要
　　１．２．システム構成例
　　１．３．１次デバイス１０および２次デバイス２０の機能構成例
　　１．４．情報処理サーバ３０および情報処理端末４０の機能構成例
　　１．５．機能の詳細
　　１．６．制御の流れ
　　１．７．効果
　２．ハードウェア構成例
　３．まとめ The description will be made in the following order.
1. Embodiment 1.1. Outline 1.2. System Configuration Example 1.3.1 Functional Configuration Example of Primary Device 10 and Secondary Device 20 1.4. Functional configuration example of information processing server 30 and information processing terminal 40 1.5. Details of functions 1.6. Flow of control 1.7. Effect 2. 2. Hardware configuration example Summary
　＜１．実施形態＞
　＜＜１．１．概要＞＞
　まず、本開示の一実施形態の概要について説明する。上述したように、近年においては、世の中に設置されたセンサ装置が収集した各種の情報を組み合わせ、また加工することなどにより有効に活用することを目的としたＩｏＴと称される仕組みが提唱されている。 <1. Embodiment>
<< 1.1. Overview >>
First, an overview of an embodiment of the present disclosure will be described. As described above, in recent years, a mechanism called IoT has been proposed for the purpose of effectively utilizing various information collected by sensor devices installed in the world by combining and processing them. Yes.
　しかし、現状においては、センサ装置およびセンサ情報の利用が設置者などに限定されている場合が多く、当該センサ情報が広く有効に活用されているとは言い難い側面がある。また、収集されたセンサ情報の利用が第三者に開放されている場合であっても、当該第三者は、利用可能なセンサ情報を探すために各設置者が発信する情報を逐一チェックする必要がある。 However, at present, the use of sensor devices and sensor information is often limited to installers and the like, and it is difficult to say that the sensor information is widely and effectively used. Even if the use of the collected sensor information is open to third parties, the third parties check each piece of information sent by each installer in order to search for available sensor information. There is a need.
　本開示の一実施形態に係る技術思想は、上記の点に着目して発想されたものであり、センサ装置（以下、ＩｏＴデバイス、とも称する）の設置者および利用者の双方にとって利益をもたらし、またＩｏＴデバイスの普及および利用を効果的に実現するフレームワークを提供する。以下、上記を実現する構成と当該構成により奏される効果について詳細に説明する。 The technical idea according to an embodiment of the present disclosure has been conceived by paying attention to the above points, and brings benefits to both an installer and a user of a sensor device (hereinafter also referred to as an IoT device). It also provides a framework for effectively realizing the spread and use of IoT devices. Hereinafter, the structure which implement | achieves the above and the effect show | played by the said structure are demonstrated in detail.
　＜＜１．２．システム構成例＞＞
　まず、本開示の一実施形態に係る情報処理システムの構成例について説明する。図１は、本実施形態に係る情報処理システムの構成例を示すブロック図である。図１を参照すると、本実施形態に係る情報処理システムは、１次デバイス１０、２次デバイス２０、情報処理サーバ３０、および情報処理端末４０を備える。また、上記の各構成は、ネットワーク５０を介して互いに通信が行えるように接続される。 << 1.2. System configuration example >>
First, a configuration example of an information processing system according to an embodiment of the present disclosure will be described. FIG. 1 is a block diagram illustrating a configuration example of an information processing system according to the present embodiment. Referring to FIG. 1, the information processing system according to the present embodiment includes a primary device 10, a secondary device 20, an information processing server 30, and an information processing terminal 40. The above-described components are connected to each other via the network 50 so that they can communicate with each other.
　（１次デバイス１０）
　本実施形態に係る１次デバイス１０は、環境や物体に係るセンサ情報を直接的に収集するセンサ装置（物理構成）である。１次デバイス１０は、例えば、周囲環境における温度、湿度、気圧、照度、騒音などのセンサ情報を収集してもよい。また、１次デバイス１０は、例えば、物体の動き（衝撃、振動、傾斜、転倒、落下、移動、開閉など）や位置（存在検知、近接検知、通過検知など）などに係るセンサ情報を収集してもよい。 (Primary device 10)
The primary device 10 according to the present embodiment is a sensor device (physical configuration) that directly collects sensor information related to the environment and objects. For example, the primary device 10 may collect sensor information such as temperature, humidity, atmospheric pressure, illuminance, and noise in the surrounding environment. In addition, the primary device 10 collects sensor information related to, for example, the movement (impact, vibration, tilt, falling, falling, moving, opening and closing, etc.) and position (existence detection, proximity detection, passage detection, etc.) of the object. May be.
　（２次デバイス２０）
　本実施形態に係る２次デバイス２０は、１次デバイス１０を含む他のＩｏＴデバイスが出力する情報に基づいて推論結果を出力する仮想的なＩｏＴデバイスである。本実施形態に係る２次デバイス２０は、例えば、複数の１次デバイス１０が収集したセンサ情報を用いた推論処理を実行し、推論結果を出力してもよい。また、本実施形態に係る２次デバイス２０は、１次デバイス１０が収集したセンサ情報と、他の２次デバイス２０による推論結果を入力として、新たな推論結果を出力してもよい。 (Secondary device 20)
The secondary device 20 according to the present embodiment is a virtual IoT device that outputs an inference result based on information output from other IoT devices including the primary device 10. The secondary device 20 according to the present embodiment may execute an inference process using sensor information collected by a plurality of primary devices 10 and output an inference result, for example. In addition, the secondary device 20 according to the present embodiment may output the new inference result by using the sensor information collected by the primary device 10 and the inference result by another secondary device 20 as inputs.
　本実施形態に係る２次デバイス２０は、例えば、１次デバイス１０が収集した気温、湿度、気圧などのセンサ情報に基づいて、センサ情報の収集地点における翌日の天気を予測し、天気予測データを推論結果として出力することが可能である。 For example, the secondary device 20 according to the present embodiment predicts the next day's weather at the collection point of the sensor information based on the sensor information collected by the primary device 10 such as temperature, humidity, and atmospheric pressure. It is possible to output as an inference result.
　（情報処理サーバ３０）
　本実施形態に係る情報処理サーバ３０は、１次デバイス１０や２次デバイス２０を含むＩｏＴデバイスの設置者、およびＩｏＴデバイスの利用者を繋ぐフレームワークを提供する情報処理装置である。情報処理サーバ３０は、例えば、設置者がＩｏＴデバイスの登録を行うためのユーザインタフェースや、利用者がＩｏＴデバイスを検索するためのユーザインタフェースなどの制御を行う。 (Information processing server 30)
The information processing server 30 according to the present embodiment is an information processing apparatus that provides a framework that connects an installer of an IoT device including the primary device 10 and the secondary device 20 and a user of the IoT device. The information processing server 30 controls, for example, a user interface for an installer to register an IoT device and a user interface for a user to search for an IoT device.
　（情報処理端末４０）
　本実施形態に係る情報処理端末４０は、ＩｏＴデバイスの設置者や利用者が操作する情報処理装置であり、情報処理サーバ３０による制御に基づいて、上記のようなユーザインタフェースを設置者および利用者に提供する。 (Information processing terminal 40)
The information processing terminal 40 according to the present embodiment is an information processing apparatus that is operated by an installer or user of the IoT device. Based on the control by the information processing server 30, the user interface as described above is installed on the installer and the user. To provide.
　（ネットワーク５０）
　ネットワーク５０は、上記の各構成を接続する機能を有する。ネットワーク５０は、インターネット、電話回線網、衛星通信網などの公衆回線網や、Ｅｔｈｅｒｎｅｔ（登録商標）を含む各種のＬＡＮ（Ｌｏｃａｌ　Ａｒｅａ　Ｎｅｔｗｏｒｋ）、ＷＡＮ（Ｗｉｄｅ　Ａｒｅａ　Ｎｅｔｗｏｒｋ）などを含んでもよい。また、ネットワーク５０は、ＩＰ－ＶＰＮ（Ｉｎｔｅｒｎｅｔ　Ｐｒｏｔｏｃｏｌ－Ｖｉｒｔｕａｌ　Ｐｒｉｖａｔｅ　Ｎｅｔｗｏｒｋ）などの専用回線網を含んでもよい。また、ネットワーク５０は、Ｗｉ－Ｆｉ（登録商標）、Ｂｌｕｅｔｏｏｔｈ（登録商標）など無線通信網を含んでもよい。 (Network 50)
The network 50 has a function of connecting the above components. The network 50 may include a public line network such as the Internet, a telephone line network, a satellite communication network, various LANs (Local Area Network) including Ethernet (registered trademark), a WAN (Wide Area Network), and the like. The network 50 may include a dedicated line network such as an IP-VPN (Internet Protocol-Virtual Private Network). The network 50 may include a wireless communication network such as Wi-Fi (registered trademark) or Bluetooth (registered trademark).
　以上、本実施形態に係る情報処理システムの構成例について説明した。なお、図１を用いて説明した上記の構成はあくまで一例であり、本実施形態に係る情報処理システムの構成は係る例に限定されない本実施形態に係る情報処理システムの構成は、仕様や運用に応じて柔軟に変形可能である。 The configuration example of the information processing system according to the present embodiment has been described above. Note that the configuration described above with reference to FIG. 1 is merely an example, and the configuration of the information processing system according to the present embodiment is not limited to the example. The configuration of the information processing system according to the present embodiment is not limited to specifications or operations. It can be flexibly deformed accordingly.
　＜＜１．３．１次デバイス１０および２次デバイス２０の機能構成例＞＞
　次に、本実施形態に係る１次デバイス１０および２次デバイス２０の機能構成例について説明する。図２は、本実施形態に係る１次デバイス１０および２次デバイス２０の機能構成例を示すブロック図である。 << 1.3.1 Functional Configuration Example of Primary Device 10 and Secondary Device 20 >>
Next, functional configuration examples of the primary device 10 and the secondary device 20 according to the present embodiment will be described. FIG. 2 is a block diagram illustrating a functional configuration example of the primary device 10 and the secondary device 20 according to the present embodiment.
　図２を参照すると、本実施形態に係る１次デバイス１０は、センサ部１１０、制御部１２０、および通信部１３０を備える。また、２次デバイス２０は、推論部２１０、制御部２２０、通信部２３０を備える。 Referring to FIG. 2, the primary device 10 according to the present embodiment includes a sensor unit 110, a control unit 120, and a communication unit 130. The secondary device 20 includes an inference unit 210, a control unit 220, and a communication unit 230.
　（センサ部１１０）
　本実施形態に係るセンサ部１１０は、環境や物体に係る各種のセンサ情報を収集する。このために、本実施形態に係るセンサ部１１０は、種々のセンサを備える。センサ部１１０は、例えば、温度センサ、湿度センサ、気圧センサ、光センサ、加速度センサ、ジャイロセンサ、地磁気センサ、撮像センサ、マイクロフォンなどを備えてもよい。 (Sensor unit 110)
The sensor unit 110 according to the present embodiment collects various sensor information related to the environment and objects. For this purpose, the sensor unit 110 according to the present embodiment includes various sensors. The sensor unit 110 may include, for example, a temperature sensor, a humidity sensor, an atmospheric pressure sensor, an optical sensor, an acceleration sensor, a gyro sensor, a geomagnetic sensor, an imaging sensor, a microphone, and the like.
　（制御部１２０）
　本実施形態に係る制御部１２０は、センサ部１１０によるセンサ情報収集の制御や、通信部１３０によるセンサ情報の送信を制御する。また、制御部１２０は、設置者の操作などに基づいて第三者によるセンサ情報の利用可否を設定してよい。 (Control unit 120)
The control unit 120 according to this embodiment controls sensor information collection control by the sensor unit 110 and transmission of sensor information by the communication unit 130. Further, the control unit 120 may set whether or not the sensor information can be used by a third party based on the operation of the installer.
　（通信部１３０）
　本実施形態に係る通信部１３０は、制御部１２０による制御に基づいて、センサ部１１０が収集したセンサ情報を、ネットワーク５０を介して情報処理サーバ３０に送信する。通信部１３０は、センサ情報に加え、１次デバイス１０の設置位置やプロパティ情報などを併せて送信してもよい。 (Communication unit 130)
The communication unit 130 according to the present embodiment transmits the sensor information collected by the sensor unit 110 to the information processing server 30 via the network 50 based on the control by the control unit 120. The communication unit 130 may transmit the installation position of the primary device 10 and property information together with the sensor information.
　（推論部２１０）
　本実施形態に係る推論部２１０は、１次デバイス１０が収集したセンサ情報などに基づく推論処理を行う。推論部２１０は、入力されるデータおよび推論するデータに応じた種々のアルゴリズムを用いて推論結果を出力してよい。 (Inference unit 210)
The inference unit 210 according to the present embodiment performs an inference process based on sensor information collected by the primary device 10. The inference unit 210 may output the inference result using various algorithms according to the input data and the inferred data.
　（制御部１２０）
　本実施形態に係る制御部１２０は、推論部２１０による推論処理の制御や、通信部２３０による推論結果の送信を制御する。また、制御部１２０は、設置者の操作などに基づいて第三者による推論結果の利用可否を設定してよい。 (Control unit 120)
The control unit 120 according to the present embodiment controls inference processing by the inference unit 210 and transmission of inference results by the communication unit 230. Moreover, the control part 120 may set the availability of the inference result by a third party based on the operation of the installer or the like.
　（通信部２３０）
　本実施形態に係る通信部２３０は、制御部２２０による制御に基づいて、推論部２１０が出力した推論結果を、ネットワーク５０を介して情報処理サーバ３０に送信する。 (Communication unit 230)
The communication unit 230 according to the present embodiment transmits the inference result output from the inference unit 210 to the information processing server 30 via the network 50 based on control by the control unit 220.
　以上、本開示の一実施形態に係る１次デバイス１０および２次デバイス２０の機能構成例について説明した。なお、図２を用いて説明した上記の構成はあくまで一例であり、本実施形態に係る１次デバイス１０および２次デバイス２０の構成は係る例に限定されない。本実施形態に係る１次デバイス１０および２次デバイス２０の構成は、仕様や運用に応じて柔軟に変形可能である。 Heretofore, the functional configuration examples of the primary device 10 and the secondary device 20 according to an embodiment of the present disclosure have been described. Note that the above-described configuration described with reference to FIG. 2 is merely an example, and the configurations of the primary device 10 and the secondary device 20 according to the present embodiment are not limited to the example. The configurations of the primary device 10 and the secondary device 20 according to the present embodiment can be flexibly modified according to specifications and operations.
　＜＜１．４．情報処理サーバ３０および情報処理端末４０の機能構成例＞＞
　次に、本実施形態に係る情報処理サーバ３０および情報処理端末４０の機能構成例について説明する。図３は、本実施形態に係る情報処理サーバ３０および情報処理端末４０の機能構成例を示すブロック図である。 << 1.4. Functional configuration example of information processing server 30 and information processing terminal 40 >>
Next, functional configuration examples of the information processing server 30 and the information processing terminal 40 according to the present embodiment will be described. FIG. 3 is a block diagram illustrating a functional configuration example of the information processing server 30 and the information processing terminal 40 according to the present embodiment.
　図３を参照すると、本実施形態に係る情報処理サーバ３０は、表示制御部３１０、グラフィック生成部３２０、記憶部３３０、および通信部３４０を備える。また、情報処理端末４０は、入力部４１０、表示部４２０、および通信部４３０を備える。 3, the information processing server 30 according to the present embodiment includes a display control unit 310, a graphic generation unit 320, a storage unit 330, and a communication unit 340. The information processing terminal 40 includes an input unit 410, a display unit 420, and a communication unit 430.
　（表示制御部３１０）
　本実施形態に係る表示制御部３１０は、ＩｏＴデバイスの設置者および利用者が利用するユーザインタフェースの表示を制御する。本実施形態に係る表示制御部３１０は、例えば、設置者がＩｏＴデバイスを登録するためのユーザインタフェースや、利用者がＩｏＴデバイスを検索するためのユーザインタフェースの表示を制御する。 (Display control unit 310)
The display control unit 310 according to the present embodiment controls display of a user interface used by the installer and user of the IoT device. The display control unit 310 according to the present embodiment controls, for example, display of a user interface for an installer to register an IoT device and a user interface for a user to search for an IoT device.
　一例としては、本実施形態に係る表示制御部３１０は、利用者による検索に基づいて、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御してよい。この際、本実施形態に係る表示制御部３１０は、１次デバイス１０や２次デバイス２０を含むＩｏＴデバイスを地図情報と関連付けて表示させること、を特徴の一つとする。本実施形態に係る表示制御部３１０が有する機能の詳細については別途後述する。 As an example, the display control unit 310 according to the present embodiment may control information presentation related to an IoT device that is permitted to be used by a third party by the installer based on a search by the user. At this time, one feature of the display control unit 310 according to the present embodiment is to display the IoT device including the primary device 10 and the secondary device 20 in association with the map information. Details of the functions of the display control unit 310 according to the present embodiment will be described later.
　（グラフィック生成部３２０）
　本実施形態に係るグラフィック生成部３２０は、ＩｏＴデバイスの特徴に基づいてＩｏＴデバイスに対応するキャラクタのグラフィックを生成する機能を有する。本実施形態に係る表示制御部３１０は、グラフィック生成部３２０が生成したキャラクタのグラフィックを用いて、ＩｏＴデバイスを地図上に可視化してよい。本実施形態に係るグラフィック生成部３２０が有する機能の詳細については別途後述する。 (Graphic generation unit 320)
The graphic generation unit 320 according to the present embodiment has a function of generating a character graphic corresponding to the IoT device based on the characteristics of the IoT device. The display control unit 310 according to the present embodiment may visualize the IoT device on a map using the character graphic generated by the graphic generation unit 320. Details of the functions of the graphic generation unit 320 according to the present embodiment will be described later.
　（記憶部３３０）
　本実施形態に係る記憶部３３０は、ＩｏＴデバイスの情報を統合的に記憶する。記憶部３３０は、例えば、ＩｏＴデバイスの設置位置や、収集されるセンサ情報または出力される推論結果などを紐付けて記憶してよい。また、記憶部３３０は、ＩｏＴデバイスの設置者や第三者による利用可否、および利用者の情報を記憶、管理する。 (Storage unit 330)
The storage unit 330 according to the present embodiment integrally stores information on IoT devices. The storage unit 330 may store, for example, the installation position of the IoT device, the collected sensor information, or the output inference result. In addition, the storage unit 330 stores and manages the availability of IoT device installers and third parties, and user information.
　（通信部３４０）
　本実施形態に係る通信部３４０は、ネットワーク５０を介して、１次デバイス１０、２次デバイス２０、および情報処理端末４０との情報通信を行う。通信部３４０は、例えば、１次デバイス１０が収集したセンサ情報や２次デバイス２０が出力する推論結果を受信し、上述したユーザインタフェースに係る制御信号を情報処理端末４０に送信する。 (Communication unit 340)
The communication unit 340 according to the present embodiment performs information communication with the primary device 10, the secondary device 20, and the information processing terminal 40 via the network 50. For example, the communication unit 340 receives the sensor information collected by the primary device 10 and the inference result output by the secondary device 20, and transmits a control signal related to the above-described user interface to the information processing terminal 40.
　（入力部４１０）
　本実施形態に係る入力部４１０は、ＩｏＴデバイスの設置者や利用者などによる入力操作を検出する。入力部４１０は、例えば、ＩｏＴデバイスの設置者によるＩｏＴデバイスの登録操作や、ＩｏＴデバイスの利用者による検索操作などを検出する。このために、本実施形態に係る入力部４１０は、キーボードやマウス、各種のボタンなどの入力装置を備える。 (Input unit 410)
The input unit 410 according to the present embodiment detects an input operation by an IoT device installer or user. The input unit 410 detects, for example, an IoT device registration operation by an IoT device installer, a search operation by a IoT device user, and the like. For this purpose, the input unit 410 according to the present embodiment includes input devices such as a keyboard, a mouse, and various buttons.
　（表示部４２０）
　本実施形態に係る表示部４２０は、情報処理サーバ３０による制御に基づいて、ユーザインタフェースの表示を行う。このために、本実施形態に係る表示部４２０は、各種のディスプレイ装置やタッチパネルなどを備える。 (Display unit 420)
The display unit 420 according to the present embodiment displays a user interface based on control by the information processing server 30. For this purpose, the display unit 420 according to the present embodiment includes various display devices and touch panels.
　（通信部４３０）
　本実施形態に係る通信部４３０は、ネットワーク５０を介して情報処理サーバ３０との情報通信を行う。具体的には、通信部４３０は、情報処理サーバ３０からユーザインタフェースの表示に係る制御信号を受信する。また、通信部４３０は、入力部４１０が検出した入力操作に係る情報を情報処理サーバ３０に送信する。 (Communication unit 430)
The communication unit 430 according to the present embodiment performs information communication with the information processing server 30 via the network 50. Specifically, the communication unit 430 receives a control signal related to display of the user interface from the information processing server 30. In addition, the communication unit 430 transmits information related to the input operation detected by the input unit 410 to the information processing server 30.
　以上、本開示の一実施形態に係る情報処理サーバ３０および情報処理端末４０の機能構成例について説明した。なお、図３を用いて説明した上記の構成はあくまで一例であり、本実施形態に係る情報処理サーバ３０および情報処理端末４０の構成は係る例に限定されない。本実施形態に係る情報処理サーバ３０および情報処理端末４０の構成は、仕様や運用に応じて柔軟に変形可能である。 The function configuration examples of the information processing server 30 and the information processing terminal 40 according to an embodiment of the present disclosure have been described above. Note that the above-described configuration described with reference to FIG. 3 is merely an example, and the configurations of the information processing server 30 and the information processing terminal 40 according to the present embodiment are not limited to the example. The configurations of the information processing server 30 and the information processing terminal 40 according to the present embodiment can be flexibly modified according to specifications and operations.
　＜＜１．５．機能の詳細＞＞
　次に、本実施形態に係る情報処理サーバ３０が有する機能の詳細について説明する。上述したように、本実施形態に係る表示制御部３１０は、設置者により第三者の利用が許諾されたＩｏＴデバイスを、地図情報と関連付けて表示させることを特徴の一つとする。 << 1.5. Details of functions >>
Next, details of functions of the information processing server 30 according to the present embodiment will be described. As described above, one feature of the display control unit 310 according to the present embodiment is that the IoT device that is permitted by a third party to be used by the installer is displayed in association with the map information.
　ここで、本実施形態に係る地図情報は、物理空間を縮尺した物理空間地図に係る情報を含んでよい。より具体的には、上記の物理空間地図とは、例えば、実存する任意の地域における地形や交通網を模式的に示した地図であってよい。すなわち、本実施形態に係る表示制御部３１０は、ＩｏＴデバイスの設置位置を物理空間地図上に対応付けて情報処理端末４０に表示させることが可能である。 Here, the map information according to the present embodiment may include information related to a physical space map obtained by reducing the physical space. More specifically, the physical space map may be, for example, a map schematically showing topography and a traffic network in an arbitrary existing area. That is, the display control unit 310 according to the present embodiment can cause the information processing terminal 40 to display the IoT device installation position in association with the physical space map.
　例えば、表示制御部３１０は、利用者が入力した指定位置に基づいて、物理空間地図上における当該指定位置との距離が近い（例えば、物理的な距離が閾値以内である）ＩｏＴデバイスを取得し、当該ＩｏＴデバイスに対応するキャラクタを物理空間地図上に表示させてもよい。この際、表示制御部３１０は、記憶部３３０に記憶される設置位置や利用可否などに基づいて、表示させるＩｏＴデバイスを取得することが可能である。 For example, the display control unit 310 acquires an IoT device that is close to the specified position on the physical space map (for example, the physical distance is within a threshold) based on the specified position input by the user. The character corresponding to the IoT device may be displayed on the physical space map. At this time, the display control unit 310 can acquire the IoT device to be displayed based on the installation position stored in the storage unit 330, availability or the like.
　なお、１次デバイス１０については、表示制御部３１０は、１次デバイス１０から送信された物理的な設置位置に基づいて、物理空間地図上における配置を決定してよい。一方、２次デバイス２０については、表示制御部３１０は、２次デバイス２０が用いるセンサ情報を収集する１次デバイス１０の物理的な設置位置に基づいて、物理空間地図上における仮想的な設置位置を決定してもよい。 For the primary device 10, the display control unit 310 may determine the arrangement on the physical space map based on the physical installation position transmitted from the primary device 10. On the other hand, for the secondary device 20, the display control unit 310 is a virtual installation position on the physical space map based on the physical installation position of the primary device 10 that collects sensor information used by the secondary device 20. May be determined.
　本実施形態に係る表示制御部３１０が有する上記の機能によれば、指定位置の近傍に配置されているＩｏＴデバイスを、利用者が容易に把握することができ、ＩｏＴデバイスの有効活用が効果的に促進される効果が期待される。なお、本実施形態に係る利用者には、１次デバイス１０が収集したセンサ情報、または２次デバイス２０が出力する推論結果のいずれかを利用するユーザとして定義される。このため、本実施形態に係る２次デバイスの設置者は、同時に１次デバイスまたは他の２次デバイスの利用者であるといえる。 According to the function of the display control unit 310 according to the present embodiment, the user can easily grasp the IoT device arranged in the vicinity of the designated position, and effective use of the IoT device is effective. The effect promoted by this is expected. Note that the user according to the present embodiment is defined as a user who uses either the sensor information collected by the primary device 10 or the inference result output by the secondary device 20. For this reason, it can be said that the installer of the secondary device according to the present embodiment is a user of the primary device or another secondary device at the same time.
　また、本実施形態に係る表示制御部３１０は、グラフィック生成部３２０が生成した、ＩｏＴデバイスに対応するキャラクタを物理空間地図上に配置することを特徴の一つとする。本実施形態に係るグラフィック生成部３２０は、ＩｏＴデバイスの特徴に基づいて、ＩｏＴデバイスに対応するキャラクタのグラフィックを動的に生成することができる。 Also, one feature of the display control unit 310 according to the present embodiment is that the character corresponding to the IoT device generated by the graphic generation unit 320 is arranged on the physical space map. The graphic generation unit 320 according to the present embodiment can dynamically generate a graphic of a character corresponding to the IoT device based on the characteristics of the IoT device.
　例えば、１次デバイス１０に対応するキャラクタの場合、グラフィック生成部３２０は、１次デバイス１０の登録時に設置者がリスト内から選択した特徴に基づいて、キャラクタのグラフィックを生成してもよい。 For example, in the case of a character corresponding to the primary device 10, the graphic generation unit 320 may generate a graphic of the character based on the feature selected by the installer from the list when registering the primary device 10.
　一例として、１次デバイス１０の特徴が、「データ種別」、「データ取得頻度」、および「被設置部種別」の３つの大分類により定義される場合を想定する。ここで、「データ種別」には、「気象」、「動き」、「状態」の３つの分類が、「データ取得頻度」には、「高」、「中」、「低」の３つの分類が、「被設置物種別」には、「建物」、「生き物」、「小型移動体」の３つの分類がそれぞれ定義されるとする。 As an example, it is assumed that the characteristics of the primary device 10 are defined by three major classifications, “data type”, “data acquisition frequency”, and “installed part type”. Here, the “data type” includes three categories of “weather”, “movement”, and “state”, and the “data acquisition frequency” includes three categories of “high”, “medium”, and “low”. However, it is assumed that three categories of “building”, “creature”, and “small mobile object” are defined in the “installed object type”.
　また、上記の各分類には、それぞれ異なる色や形状、大きさ、輪郭線の線種や尖り具合（周波数）、効果などにより特徴付けられたグラフィックデザインが対応付けられる。 In addition, each of the above classifications is associated with a graphic design characterized by different colors, shapes, sizes, outline line types, sharpness (frequency), effects, and the like.
　この場合、１次デバイス１０の特徴は、３×３×３＝２７の分類により定義されることとなり、グラフィック生成部３２０は、上記の分類ごとに異なる２７のグラフィックを生成することが可能である。なお、上記の分類はあくまで一例であり、本実施形態に係るグラフィックの生成は係る例に限定されない。例えば、分類「気象」には、さらに小分類「気温」、「湿度」、「気圧」、「風力」、「照度」などが定義され、また各小分類には、データ種別ごとの特徴を取り入れたグラフィックデザインが予め作成されていてもよい。 In this case, the characteristics of the primary device 10 are defined by 3 × 3 × 3 = 27 classifications, and the graphic generation unit 320 can generate 27 different graphics for each of the above classifications. . In addition, said classification is an example to the last, and the production | generation of the graphic which concerns on this embodiment is not limited to the example which concerns. For example, the classification “meteorology” further defines the subclasses “temperature”, “humidity”, “barometric pressure”, “wind power”, “illuminance”, etc., and each subclass incorporates features for each data type. A graphic design may be created in advance.
　次に、２次デバイス２０に対応するキャラクタのグラフィック生成について説明する。上述したように、本実施形態に係る２次デバイス２０は、１次デバイス１０や他の２次デバイス２０が収集、出力した情報を用いて推論結果を出力するＩｏＴデバイスである。このため、本実施形態に係るグラフィック生成部３２０は、２次デバイス２０が推論に用いるＩｏＴデバイスの特徴分類と、２次デバイス２０が出力する推論結果に係る特徴分類とに基づいて、２次デバイス２０のグラフィックを生成してよい。 Next, the graphic generation of the character corresponding to the secondary device 20 will be described. As described above, the secondary device 20 according to the present embodiment is an IoT device that outputs an inference result using information collected and output by the primary device 10 or another secondary device 20. For this reason, the graphic generation unit 320 according to the present embodiment uses the secondary device 20 based on the feature classification of the IoT device used for inference and the feature classification related to the inference result output by the secondary device 20. Twenty graphics may be generated.
　例えば、２次デバイス２０が２つの１次デバイス１０が収集したセンサ情報に基づいて推論結果を出力する場合、グラフィック生成部３２０は、２次デバイス２０を含む３つのＩｏＴデバイスの各大分類における主要な成分をグラフィックデザインに判定させてもよい。また、グラフィック生成部３２０は、「データ取得頻度」に関しては、３つのＩｏＴデバイスに係る頻度平均をグラフィックの輪郭線決定の周波数に用いるなどしてもよい。 For example, when the secondary device 20 outputs an inference result based on the sensor information collected by the two primary devices 10, the graphic generation unit 320 selects the main in each major classification of three IoT devices including the secondary device 20. You may make a graphic design determine an important component. In addition, regarding the “data acquisition frequency”, the graphic generation unit 320 may use an average frequency related to the three IoT devices as a frequency for determining a graphic outline.
　また、本実施形態に係るグラフィック生成部３２０は、２次デバイス２０が推論に用いるＩｏＴデバイスや、推論結果の特徴を遺伝子に見立て、入力に用いるＩｏＴデバイス、すなわち親の遺伝子と、推論結果の遺伝子とを交差させることで、２次デバイス２０のグラフィックを生成してもよい。 In addition, the graphic generation unit 320 according to the present embodiment uses the IoT device used by the secondary device 20 for inference, the characteristics of the inference result as genes, and the IoT device used for input, that is, the parent gene and the inference result gene. And the graphic of the secondary device 20 may be generated.
　図４は、本実施形態に係る２次デバイス２０のグラフィック生成の一例について説明するための図である。図４の上段には、２次デバイス２０が入力に用いる２つの１次デバイス１０に対応するキャラクタＣ１ａおよびＣ１ｂ、また推論結果に対応するキャラクタＣｅが示されている。 FIG. 4 is a diagram for explaining an example of graphic generation of the secondary device 20 according to the present embodiment. In the upper part of FIG. 4, characters C1a and C1b corresponding to the two primary devices 10 used by the secondary device 20 for input, and characters Ce corresponding to the inference results are shown.
　ここで、キャラクタＣ１ａ、Ｃ１ｂ、およびＣｅのグラフィックは、上述した特徴分類により決定された３つのパーツから成るものとする。例えば、キャラクタＣ１ａは、パーツＰＡｘ、ＰＢｘ、およびＰＣｘを有している。また、キャラクタＣ１ｂは、パーツＰＡｙ、ＰＢｙ、およびＰＣｙを有しており、キャラクタＣｅは、パーツＰＡｚ、ＰＢｚ、およびＰＣｚを有している。 Here, it is assumed that the graphics of the characters C1a, C1b, and Ce are composed of three parts determined by the above feature classification. For example, the character C1a has parts PAx, PBx, and PCx. The character C1b has parts PAy, PBy, and PCy, and the character Ce has parts PAz, PBz, and PCz.
　この際、グラフィック生成部３２０は、まず入力される２つの１次デバイス１０に対応するキャラクタＣ１ａおよびＣ１ｂの遺伝子、すなわちパーツを交差させ、キャラクタＣｉのグラフィックを生成してもよい。図４に示す一例の場合、グラフィック生成部３２０は、キャラクタＣ１ａからパーツＰＡｘおよびＰＢｘを、キャラクタＣ１ｂからパーツＰＣｙを受け継いだキャラクタＣｉを生成している。この際、グラフィック生成部３２０は、採用するパーツをランダムで選択してもよい。 At this time, the graphic generation unit 320 may first generate the graphic of the character Ci by intersecting the genes of the characters C1a and C1b corresponding to the two input primary devices 10, that is, the parts. In the example shown in FIG. 4, the graphic generation unit 320 generates a character Ci that inherits the parts PAx and PBx from the character C1a and the parts PCy from the character C1b. At this time, the graphic generation unit 320 may randomly select a part to be adopted.
　続いて、グラフィック生成部３２０は、上記のように生成したキャラクタＣｉ、および推論結果に対応するキャラクタＣｅのパーツを交差させ、２次デバイス２０に対応する最終的なグラフィックＣ２を生成する。図４に示す一例の場合、グラフィック生成部３２０は、キャラクタＣｉからパーツＰＢｘを、キャラクタＣｅからパーツＰＡｚおよびＰＣｚを受け継いだキャラクタＣ２を生成している。 Subsequently, the graphic generation unit 320 intersects the character Ci generated as described above and the part of the character Ce corresponding to the inference result to generate a final graphic C2 corresponding to the secondary device 20. In the example illustrated in FIG. 4, the graphic generation unit 320 generates a character C2 that inherits the part PBx from the character Ci and the parts PAz and PCz from the character Ce.
　このように、本実施形態に係るグラフィック生成部３２０によれば、２次デバイス２０が推論に用いるＩｏＴデバイスの特徴を反映して２次デバイス２０のグラフィックを生成することが可能である。また、この際、２次デバイス２０の推論結果に係る特徴をグラフィックデザインに反映することにより、入力に用いられるＩｏＴデバイスが同一である場合であっても、推論結果に応じて異なるグラフィックデザインを生成することが可能である。 As described above, according to the graphic generation unit 320 according to the present embodiment, it is possible to generate the graphic of the secondary device 20 reflecting the characteristics of the IoT device used by the secondary device 20 for inference. At this time, by reflecting the characteristics related to the inference result of the secondary device 20 in the graphic design, even if the IoT devices used for input are the same, a different graphic design is generated according to the inference result. Is possible.
　以上説明したように、本実施形態に係るグラフィック生成部３２０によれば、ＩｏＴデバイスの特徴を反映した多様なグラフィックを生成することが可能である。また、表示制御部３１０が、上記のように生成されたグラフィックを物理空間地図上に配置することで、ＩｏＴデバイスの特徴を利用者に直観的に知覚させることが可能となる。 As described above, according to the graphic generation unit 320 according to the present embodiment, it is possible to generate various graphics reflecting the characteristics of the IoT device. Further, the display control unit 310 arranges the graphic generated as described above on the physical space map, so that the feature of the IoT device can be intuitively perceived by the user.
　なお、上記で述べたグラフィックの生成手法はあくまで一例であり、本実施形態に係るグラフィック生成部３２０は、他の生成手法を用いてキャラクタのグラフィックを生成してもよい。 Note that the graphic generation method described above is merely an example, and the graphic generation unit 320 according to the present embodiment may generate character graphics using other generation methods.
　例えば、設置者がＩｏＴデバイスを登録しようとした際、ＩｏＴデバイスの特徴が既存の特徴分類に当てはまらないと判断された場合、グラフィック生成部３２０は、予め用意されたグラフィックデザイン群（デザインプール）の中から設置者が選択したグラフィックデザインを採用してもよい。この際、デザインプールには、ＩｏＴデバイスが提供するデータの希少価値に応じたデザインが用意されることが望ましい。この場合、例えば、気温センサのように一般的なセンサには平凡なデザインを対応付ける一方、ガイガーカウンタなどの特殊なセンサには希少なデザインを対応づけ際立たせることなどが可能となる。 For example, when the installer tries to register an IoT device, if it is determined that the feature of the IoT device does not fit into the existing feature classification, the graphic generation unit 320 may store a graphic design group (design pool) prepared in advance. A graphic design selected by the installer may be adopted. At this time, it is desirable that a design corresponding to the scarce value of the data provided by the IoT device is prepared in the design pool. In this case, for example, an ordinary sensor such as a temperature sensor can be associated with a mediocre design, while a rare sensor such as a Geiger counter can be associated with a rare design.
　また、登録されるＩｏＴデバイスの特徴の一部が既存の分類に近い場合（例えば、「被設置物種別」が「建物」であるが、他の特徴分類が既存に当てはまらない場合）、類似する特徴を満たすグラフィックデザインのみをデザインプールからフィルタリングしてサブセットを作り、設置者に当該サブセットからグラフィックデザインを選択させてもよい。この場合、新規に登録されたＩｏＴデバイスのグラフィックを既存のデザインルールから逸脱しないように設定することが可能である。なお、登録されるＩｏＴデバイスが既存の特徴分類に当てはまるか否かについては、後述するような特徴量に基づいて判断させてもよい。 In addition, when some of the characteristics of the registered IoT device are close to the existing classification (for example, when “installed object type” is “building”, but other characteristic classification does not apply to the existing classification), they are similar. Only graphic designs that satisfy the characteristics may be filtered from the design pool to create a subset, and the installer may select a graphic design from the subset. In this case, the newly registered graphic of the IoT device can be set so as not to deviate from the existing design rule. Note that whether or not the registered IoT device is applicable to the existing feature classification may be determined based on a feature amount as described later.
　また、グラフィック生成部３２０は、設置者がデザインしたグラフィックを加工し、ＩｏＴデバイスに対応するキャラクタのグラフィックとしてもよい。この際、グラフィック生成部３２０は、設置者によるデザインを既存のグラフィックデザインに応じてスタイルトランスファーするなどして、デザインルールの統一を維持することが可能である。 In addition, the graphic generation unit 320 may process the graphic designed by the installer and use it as a character graphic corresponding to the IoT device. At this time, the graphic generation unit 320 can maintain the unification of design rules by, for example, style transferring the design by the installer according to the existing graphic design.
　以上、本実施形態に係るグラフィック生成部３２０によるグラフィック生成について説明した。本実施形態に係るグラフィック生成によれば、ＩｏＴデバイスの特徴をグラフィックに反映することで、利用者がＩｏＴデバイスのデータ種別などの特徴を直観的に把握することが可能となる。 The graphic generation by the graphic generation unit 320 according to the present embodiment has been described above. According to the graphic generation according to the present embodiment, by reflecting the characteristics of the IoT device in the graphic, the user can intuitively grasp the characteristics such as the data type of the IoT device.
　また、本実施形態に係るグラフィックは、ＩｏＴデバイスの状況に応じて動的に変化してもよい。本実施形態に係るグラフィック生成部３２０は、例えば、ＩｏＴデバイスの利用状況に応じてグラフィックを変化させることができる。 Further, the graphic according to the present embodiment may dynamically change according to the status of the IoT device. For example, the graphic generation unit 320 according to the present embodiment can change the graphic according to the usage status of the IoT device.
　一般に、多くの利用者に頻繁に利用されているＩｏＴデバイスほど需要が高く、高価値な情報を提供していると想定される。このため、本実施形態に係るグラフィック生成部３２０は、ＩｏＴデバイスの利用頻度に応じて、当該ＩｏＴデバイスに対応するグラフィックが変化するよう制御を行ってよい。 Generally, it is assumed that IoT devices that are frequently used by many users have higher demand and provide high-value information. Therefore, the graphic generation unit 320 according to the present embodiment may perform control so that the graphic corresponding to the IoT device changes according to the usage frequency of the IoT device.
　図５は、本実施形態に係る利用頻度に応じたグラフィックの変化について説明するための図である。図５に示す一例の場合、各ＩｏＴデバイスには、利用頻度を示す「ＬＩＦＥ」と呼ばれる指標が紐付けられている。ここで、上記の「ＬＩＦＥ」は、ＩｏＴデバイスの利用頻度に比例して上昇する指標であり、「ＬＩＦＥ」が高いほど利用頻度が高いことを示し、「ＬＩＦＥ」が低いほど利用頻度が低いことを示す。 FIG. 5 is a diagram for explaining a graphic change according to the usage frequency according to the present embodiment. In the example shown in FIG. 5, each IoT device is associated with an index called “LIFE” indicating the usage frequency. Here, the above-mentioned “LIFE” is an index that increases in proportion to the usage frequency of the IoT device. The higher the “LIFE”, the higher the usage frequency, and the lower the “LIFE”, the lower the usage frequency. Indicates.
　この際、本実施形態に係るグラフィック生成部３２０は、ＩｏＴデバイスの「ＬＩＦＥ」の値に応じて、当該ＩｏＴデバイスに対応するグラフィックを変化させてよい。具体的には、本実施形態に係るグラフィック生成部３２０は、「ＬＩＦＥ」の値が高くなるほど、のキャラクタのグラフィックがより目立つように制御を行ってよい。 At this time, the graphic generation unit 320 according to the present embodiment may change the graphic corresponding to the IoT device according to the value of “LIFE” of the IoT device. Specifically, the graphic generation unit 320 according to the present embodiment may perform control so that the graphic of the character becomes more conspicuous as the value of “LIFE” increases.
　例えば、図５に示す一例の場合、グラフィック生成部３２０は、「ＬＩＦＥ」の値に応じて、キャラクタＣ２のグラフィックが成長するように制御を行っている。本実施形態に係るグラフィック生成部３２０が有する上記の機能によれば、需要が高く利用者にとってより価値の高いＩｏＴデバイスに対応するグラフィックをより目立たせることで、利用者が良質なＩｏＴデバイスを見つけやすくするとともに、キャラクタのグラフィックを成長させたいという設置者の心理に訴求し、設置者がより利用価値の高いＩｏＴデバイスを創出することを促す効果が期待される。 For example, in the example illustrated in FIG. 5, the graphic generation unit 320 performs control so that the graphic of the character C2 grows according to the value of “LIFE”. According to the above-described function of the graphic generation unit 320 according to the present embodiment, the user finds a high-quality IoT device by making the graphic corresponding to the IoT device having high demand and higher value for the user more conspicuous. It is expected to have an effect of facilitating the creation of an IoT device with higher utility value by appealing to the psychology of the installer who wants to grow the character graphic.
　なお、図５では、グラフィック生成部３２０が、「ＬＩＦＥ」に応じてグラフィックの形状を変化させる（成長させる）場合を例に説明したが、本実施形態に係るグラフィック変化は係る例に限定されない。グラフィック生成部３２０は、「ＬＩＦＥ」に応じて、例えば、グラフィックの大きさ、色の濃淡などを変化させてもよい。また、グラフィック生成部３２０は、「ＬＩＦＥ」が高い場合には、グラフィックの輪郭や背景などに光彩を付与し、輝度を変化させることで際立出せるなどの効果を演出してもよい。 In FIG. 5, the case where the graphic generation unit 320 changes (grows) the shape of the graphic according to “LIFE” has been described as an example. However, the graphic change according to the present embodiment is not limited to this example. The graphic generation unit 320 may change, for example, the size of the graphic, the density of the color, and the like according to “LIFE”. In addition, when “LIFE” is high, the graphic generation unit 320 may produce an effect such as adding a glow to the contour or background of the graphic and making it stand out by changing the luminance.
　また、本実施形態に係る「ＬＩＦＥ」は、利用者に対する課金金額の決定に用いられてもよい。例えば、「ＬＩＦＥ」が高いほど利用者に対する課金金額が高くなるように設定することが可能である。 Also, the “LIFE” according to the present embodiment may be used for determining the charge amount for the user. For example, it is possible to set so that the higher the “LIFE”, the higher the charge amount for the user.
　以上、本実施形態に係るＩｏＴデバイスに対応するキャラクタのグラフィック生成および変化について説明した。続いて、上記グラフィックの地図上への配置について具体例を挙げて説明する。図６は、本実施形態に係る物理空間地図上と関連付いたＩｏＴデバイス情報の提示例である。 The graphic generation and change of the character corresponding to the IoT device according to the present embodiment has been described above. Subsequently, the arrangement of the graphic on the map will be described with a specific example. FIG. 6 is a presentation example of IoT device information associated with the physical space map according to the present embodiment.
　図６に示す一例の場合、本実施形態に係る表示制御部３１０は、利用者により指定された位置から距離が閾値以内にあるＩｏＴデバイスの情報を取得し、物理空間地図と対応付けて情報処理端末４０の表示部４２０に表示させている。具体的には、表示制御部３１０は、物理的な設置位置が指定位置から閾値以内にある２つの１次デバイス１０に対応する２つのキャラクタＣ１ａおよびＣ１ｂと、仮想的な設置位置が指定位置から閾値以内にある２つの２次デバイス２０に対応するキャラクタＣ２ａおよびＣ２ｂを物理空間地図上に配置している。 In the case of the example illustrated in FIG. 6, the display control unit 310 according to the present embodiment acquires information on an IoT device whose distance is within the threshold from the position specified by the user, and processes the information in association with the physical space map. It is displayed on the display unit 420 of the terminal 40. Specifically, the display control unit 310 includes two characters C1a and C1b corresponding to the two primary devices 10 whose physical installation positions are within the threshold from the specified position, and the virtual installation positions from the specified position. Characters C2a and C2b corresponding to two secondary devices 20 within the threshold are arranged on the physical space map.
　ここで、キャラクタＣ１ａ、Ｃ１ｂ、Ｃ２ａ、Ｃ２ｂのグラフィックは、上述したように各ＩｏＴデバイスの特徴に基づいて生成され、また、「ＬＩＦＥ」に応じて変化したものであってよい。なお、図６に示す一例では、各ＩｏＴデバイスの「ＬＩＦＥ」は、キャラクタの大きさによって示されている。 Here, the graphics of the characters C1a, C1b, C2a, and C2b may be generated based on the characteristics of each IoT device as described above, and may be changed according to “LIFE”. In the example shown in FIG. 6, “LIFE” of each IoT device is indicated by the size of the character.
　このように、本実施形態に係る情報処理サーバ３０によれば、ＩｏＴデバイスの設置位置、特徴、利用頻度をキャラクタのグラフィックにより示すことで、利用者が直観的に自身が求めるＩｏＴデバイスを発見することを補助することが可能となる。 As described above, according to the information processing server 30 according to the present embodiment, the user can intuitively find the IoT device that the user wants by intuitively indicating the installation position, characteristics, and usage frequency of the IoT device by the graphic of the character. It becomes possible to assist.
　また、本実施形態に係る表示制御部３１０は、利用者が指定する各種の条件に応じて、地図上に配置するＩｏＴデバイスのフィルタリングを行ってよい。表示制御部３１０は、例えば、利用者が指定した「データ種別」や、「ＬＩＦＥ」の高さなどに基づいて、ＩｏＴデバイスを検索、表示することが可能である。 Further, the display control unit 310 according to the present embodiment may perform filtering of IoT devices arranged on the map according to various conditions specified by the user. The display control unit 310 can search for and display IoT devices based on, for example, the “data type” designated by the user, the height of “LIFE”, and the like.
　また、表示制御部３１０は、利用者が指定した距離を閾値とし、当該閾値以内に設置されるＩｏＴデバイスの検索、表示を行ってもよい。この場合、表示制御部３１０は、利用者が設定した閾値に応じて、物理空間地図の尺度を自動で拡大または縮尺するよう制御を行うことができる。 Further, the display control unit 310 may search and display an IoT device installed within the threshold with the distance specified by the user as a threshold. In this case, the display control unit 310 can perform control so that the scale of the physical space map is automatically enlarged or reduced according to the threshold set by the user.
　以上、本実施形態に係る物理空間地図と対応付いたＩｏＴデバイスの情報提示について説明した。次に、本実施形態に係る特徴空間地図と対応付いたＩｏＴデバイスの情報提示について説明する。本実施形態に係る表示制御部３１０は、物理空間地図に加え、特徴空間地図にＩｏＴデバイスを対応付けて表示させることも可能である。 The information presentation of the IoT device associated with the physical space map according to the present embodiment has been described above. Next, information presentation of the IoT device associated with the feature space map according to the present embodiment will be described. The display control unit 310 according to the present embodiment can display an IoT device in association with a feature space map in addition to a physical space map.
　上記では、本実施形態に係るＩｏＴデバイスに対応するキャラクタのグラフィックが、当該ＩｏＴデバイスの特徴に基づいて生成されることを述べた。同様に、本実施形態に係る表示制御部３１０は、ＩｏＴデバイスの特徴を特徴空間上の位置により示すことが可能である。
ＩｏＴデバイスの特徴を、 In the above description, it has been described that the graphic of the character corresponding to the IoT device according to the present embodiment is generated based on the characteristics of the IoT device. Similarly, the display control unit 310 according to the present embodiment can indicate the feature of the IoT device by the position on the feature space.
The characteristics of IoT devices
　図７は、本実施形態に係る特徴空間地図と対応付いたＩｏＴデバイスの情報提示について説明するための図である。図７の左側には、上記の説明でも用いた「データ種別」（３分類）、「データ取得頻度」（３分類）、および「被設置物種別」（３分類）の計２７分類により定義される特徴空間（離散）が示されている。この際、本実施形態に係る表示制御部３１０は、ＩｏＴデバイスＤａが有する特徴に基づいて、特徴空間上における表示位置を決定している。 FIG. 7 is a diagram for explaining information presentation of the IoT device associated with the feature space map according to the present embodiment. The left side of FIG. 7 is defined by a total of 27 classifications of “data type” (3 classifications), “data acquisition frequency” (3 classifications), and “installed object type” (3 classifications) used in the above description. The feature space (discrete) is shown. At this time, the display control unit 310 according to the present embodiment determines the display position on the feature space based on the feature of the IoT device Da.
　また、本実施形態に係る表示制御部３１０は、図７の左側に例示する３Ｄ表現のほか、図７の右側に示すような２次元マップによる可視化を行ってもよい。図７に示す一例の場合、表示制御部３１０は、３つのＩｏＴデバイスＤａ～Ｄｃを、それぞれ有する特徴に基づいて、２次元マップ上に配置している。ここで、ＩｏＴデバイスＤａおよびＤｂは、「データ種別：気象」、「被設置物種別：小型移動体」、「データ取得頻度：高」の特徴を有しており、ＩｏＴデバイスＤｃは、「データ種別：状態」、「被設置物種別：小型移動体」、「データ取得頻度：小」の特徴を有している。 Further, the display control unit 310 according to the present embodiment may perform visualization using a two-dimensional map as illustrated on the right side of FIG. 7 in addition to the 3D representation illustrated on the left side of FIG. In the example illustrated in FIG. 7, the display control unit 310 arranges the three IoT devices Da to Dc on the two-dimensional map based on the respective characteristics. Here, the IoT devices Da and Db have characteristics of “data type: weather”, “installed object type: small mobile object”, and “data acquisition frequency: high”. It has the characteristics of “type: status”, “installed object type: small mobile object”, and “data acquisition frequency: small”.
　また、図７では、ＩｏＴデバイスの特徴が離散により定義される場合を例に述べたが、本実施形態に係る表示制御部３１０は、連続量により表現される多次元特徴空間において、ＩｏＴデバイスの表示を制御してもよい。 Further, in FIG. 7, the case where the features of the IoT device are defined as discrete is described as an example. However, the display control unit 310 according to the present embodiment has the IoT device's feature in a multidimensional feature space expressed by continuous quantities. The display may be controlled.
　図８の左側には、各特徴量が連続量である多次元特徴空間が示されている。この際、表示制御部３１０は、ＩｏＴＤデバイスａ～ｃが有するそれぞれの特徴量に基づいて、多次元空間における位置を決定することができる。なお、図８では、視認性向上のために便宜上クラスタごと異なるパターンを用いて各ＩｏＴデバイスを示している。 The left side of FIG. 8 shows a multidimensional feature space in which each feature quantity is a continuous quantity. At this time, the display control unit 310 can determine the position in the multidimensional space based on the respective feature amounts of the IoT devices a to c. In FIG. 8, each IoT device is shown using a different pattern for each cluster for convenience in order to improve visibility.
　また、図８の左側に示す一例では、特徴空間を３次元空間的に表現しているが、実際には次元数が増加するほど可読性が低下することとなる。このため、本実施形態に係る表示制御部３１０は、図８の右側に示すように、多次元で表現される特徴空間を２次元空間に次元圧縮し、当該特徴空間地図上でＩｏＴデバイスの位置を表現してもよい。 Further, in the example shown on the left side of FIG. 8, the feature space is expressed in a three-dimensional space, but actually, the readability decreases as the number of dimensions increases. For this reason, as shown on the right side of FIG. 8, the display control unit 310 according to the present embodiment dimensionally compresses a feature space expressed in multiple dimensions into a two-dimensional space, and the position of the IoT device on the feature space map. May be expressed.
　この際、表示制御部３１０は、線形要素に着目した次元削減手法や、非線形成分を考慮した次元削減手法などを用いることができる。線形要素に着目した次元削減手法としては、例えば、Ｒａｎｄｏｍ　Ｐｒｏｊｅｃｔｉｏｎ、ＰＣＡ（Ｐｒｉｎｃｉｐａｌ　Ｃｏｍｐｏｎｅｎｔ　Ａｎａｌｙｓｉｓ）、Ｌｉｎｅａｒ　Ｄｉｓｃｒｉｍｉｎａｎｔ　Ａｎａｌｙｓｉｓなどが挙げられる。 At this time, the display control unit 310 can use a dimension reduction technique focusing on linear elements, a dimension reduction technique considering nonlinear components, or the like. Examples of the dimension reduction technique focusing on linear elements include Random Projection, PCA (Principal Component Analysis), and Linear Discriminant Analysis.
　また、非線形成分に着目した次元削減手法としては、例えば、Ｉｓｏｍａｐ、Ｌｏｃａｌｌｙ　Ｌｉｎｅａｒ　Ｅｍｂｅｄｄｉｎｇ、Ｍｏｄｉｆｉｅｄ　Ｌｏｃａｌｌｙ　Ｌｉｎｅａｒ　Ｅｍｂｅｄｄｉｎｇ、Ｈｅｓｓｉａｎ　Ｅｉｇｅｎｍａｐｐｉｎｇ、Ｓｐｅｃｔｒａｌ　Ｅｍｂｅｄｄｉｎｇ、Ｌｏｃａｌ　Ｔａｎｇｅｎｔ　Ｓｐａｃｅ　Ａｌｉｇｎｍｅｎｔ、Ｍｕｌｔｉ－ｄｉｍｅｎｓｉｏｎａｌ　Ｓｃａｌｉｎｇ、ｔ－ＳＮＥ、Ｒａｎｄｏｍ　Ｆｏｒｅｓｔ　Ｅｍｂｅｄｄｉｎｇなどが挙げられる。 As the dimensionality reduction technique that focuses on the nonlinear component, e.g., Isomap, Locally Linear Embedding, Modified Locally Linear Embedding, Hessian Eigenmapping, Spectral Embedding, Local Tangent Space Alignment, Multi-dimensional Scaling, t-SNE, Random Forest Embedding such Is mentioned.
　表示制御部３１０は、上記に挙げた手法を用いて、分散の低い特徴次元を縮退させたり、要素間の類似度（距離）が２次元圧縮空間でも保たれるように次元削減を行うことが可能である。 The display control unit 310 can reduce the feature dimension with low variance by using the above-described methods, or reduce the dimension so that the similarity (distance) between elements is maintained even in the two-dimensional compression space. Is possible.
　以上、本実施形態に係る特徴空間地図と対応付いたＩｏＴデバイスの情報提示について説明した。本実施形態に係る表示制御部３１０が有する上記の機能によれば、ＩｏＴデバイスが有する特徴を地図上でより精度高く表現することが可能となる。また、本実施形態に係る表示制御部３１０は、利用者が指定したＩｏＴデバイスの特徴に基づいて、類似する特徴を有するＩｏＴデバイスを検索する機能を有してよい。 The information presentation of the IoT device associated with the feature space map according to the present embodiment has been described above. According to the function of the display control unit 310 according to the present embodiment, it is possible to express the characteristics of the IoT device on the map with higher accuracy. Further, the display control unit 310 according to the present embodiment may have a function of searching for an IoT device having similar characteristics based on the characteristics of the IoT device specified by the user.
　図９は、本実施形態に係る特徴空間地図を用いたＩｏＴデバイスの検索について説明するための図である。図９には、２次元空間に圧縮された特徴空間地図が示されている。ここで、例えば、利用者がＩｏＴデバイスＤｅと類似する特徴を有するＩｏＴデバイスを検索したいとする。この際、表示制御部３１０は、特徴空間地図において、指定されたＩｏＴデバイスＤｅから距離が閾値以内にあるＩｏＴデバイスを検索し、当該ＩｏＴデバイスの情報が利用者に提示されるよう表示制御を行う。図９に示す一例の場合、ＩｏＴデバイスＤｂおよびＤｄの情報が利用者に提示されてよい。 FIG. 9 is a diagram for explaining the search for the IoT device using the feature space map according to the present embodiment. FIG. 9 shows a feature space map compressed into a two-dimensional space. Here, for example, it is assumed that the user wants to search for an IoT device having characteristics similar to the IoT device De. At this time, the display control unit 310 searches the feature space map for an IoT device whose distance is within the threshold from the specified IoT device De, and performs display control so that information on the IoT device is presented to the user. . In the case of the example shown in FIG. 9, information on the IoT devices Db and Dd may be presented to the user.
　本実施形態に係る表示制御部３１０が有する上記の機能によれば、指定されたＩｏＴデバイスと類似する特徴を有するＩｏＴデバイスを精度高く検索することが可能となり、利用者の利便性を大きく向上させることができる。なお、利用者は、ＩｏＴデバイスではなく、特徴（離散または連続量）を直接入力して検索が行えてもよい。 According to the above function of the display control unit 310 according to the present embodiment, it is possible to search for an IoT device having characteristics similar to the specified IoT device with high accuracy, and greatly improve the convenience for the user. be able to. The user may perform a search by directly inputting a feature (discrete or continuous amount) instead of the IoT device.
　続いて、本実施形態に係るコミュニティ機能について説明する。本実施形態に係る表示制御部３１０は、上述した検索・表示制御に加え、ＩｏＴデバイスの設置者が属するコミュニティの形成に係る機能を有してよい。具体的には、表示制御部３１０は、設置者が設置しているＩｏＴデバイスの特徴に基づいてコミュニティの構成員を選択し、当該コミュニティにおいて、設置者同士がチャットなどにより意見交換ができるよう制御を行ってよい。 Subsequently, the community function according to the present embodiment will be described. The display control unit 310 according to the present embodiment may have a function related to the formation of a community to which the installer of the IoT device belongs in addition to the search / display control described above. Specifically, the display control unit 310 selects members of the community based on the characteristics of the IoT device installed by the installer, and controls so that the installers can exchange opinions by chat or the like in the community. May be done.
　この際、本実施形態に係る表示制御部は、上述した特徴空間地図を利用してコミュニティの構成員を選択してもよい。図１０は、本実施形態に係る特徴空間地図を利用したコミュニティ形成について説明するための図である。 At this time, the display control unit according to the present embodiment may select a member of the community using the feature space map described above. FIG. 10 is a diagram for explaining community formation using the feature space map according to the present embodiment.
　図１０には、２次元空間に圧縮された特徴空間地図における複数のＩｏＴデバイスが示されている。この際、表示制御部３１０は、例えば、類似する特徴量を有するＩｏＴデバイスを設置している設置者を同一のコミュニティの構成員として選択することができる。図１０に示す一例の場合、表示制御部３１０は、特徴空間地図において距離が近い、すなわち同一のクラスタに属するＩｏＴデバイスＤｆ～Ｄｉを設置する設置者から成るコミュニティＣＭを形成している。上記のコミュニティ形成によれば、類似するＩｏＴデバイスを設置する設置者同士の間で技術やトレンドなどに関する意見交換が行われ、さらに高価値なＩｏＴデバイスの創出が行われることが期待される。 FIG. 10 shows a plurality of IoT devices in a feature space map compressed into a two-dimensional space. At this time, for example, the display control unit 310 can select an installer who has installed an IoT device having a similar feature amount as a member of the same community. In the example shown in FIG. 10, the display control unit 310 forms a community CM composed of installers who install IoT devices Df to Di that are close to each other in the feature space map, that is, belong to the same cluster. According to the community formation described above, it is expected that opinions regarding technologies and trends will be exchanged between installers who install similar IoT devices, and creation of higher-value IoT devices will be performed.
　また、一方で、表示制御部３１０は、類似しない特徴を有するＩｏＴデバイスを設置している設置者を敢えて同一のコミュニティに配属してもよい。図１０に示す一例の場合、表示制御部３１０は、互いに類似しない特徴を有するＩｏＴデバイスＤａおよびＤｂの設置者から成るコミュニティＣＭ２を形成している。この場合、類似しないＩｏＴデバイスの設置者間で、互いに思いもよらなかった発想などが交換されることで新規の着想が得られ、これまでにない新規のＩｏＴデバイスの創出が行われることが期待される。 On the other hand, the display control unit 310 may dare to assign an installer who has installed an IoT device having similar characteristics to the same community. In the example shown in FIG. 10, the display control unit 310 forms a community CM2 composed of installers of the IoT devices Da and Db having features that are not similar to each other. In this case, it is expected that new IoT devices will be created by exchanging ideas, etc., which were not thought of each other, among the installers of dissimilar IoT devices. Is done.
　＜＜１．６．制御の流れ＞＞
　次に、本実施形態に係る情報処理サーバ３０による制御の流れについて詳細に説明する。図１１は、本実施形態に係る情報処理サーバ３０による制御の流れを示すフローチャートである。 << 1.6. Control flow >>
Next, the flow of control by the information processing server 30 according to the present embodiment will be described in detail. FIG. 11 is a flowchart showing a flow of control by the information processing server 30 according to the present embodiment.
　図１１を参照すると、まず、通信部３４０が、１次デバイス１０や２次デバイス２０の登録に際し、ＩｏＴデバイス情報を受信する（Ｓ１１０１）。受信されたＩｏＴデバイス情報は、記憶部３３０に記憶される。 Referring to FIG. 11, first, the communication unit 340 receives IoT device information when registering the primary device 10 and the secondary device 20 (S1101). The received IoT device information is stored in the storage unit 330.
　次に、グラフィック生成部３２０は、ステップＳ１１０１において受信されたＩｏＴデバイス情報から特定される特徴に基づいて、ＩｏＴデバイスに対応するキャラクタのグラフィックを生成する（Ｓ１１０２）。また、グラフィック生成部３２０は、生成したグラフィックをＩｏＴデバイス情報を対応づけて記憶部３３０に記憶させる。 Next, the graphic generation unit 320 generates a graphic of the character corresponding to the IoT device based on the feature specified from the IoT device information received in step S1101 (S1102). The graphic generation unit 320 stores the generated graphic in the storage unit 330 in association with the IoT device information.
　次に、表示制御部３１０は、利用者による検索操作などに基づいて、記憶部３３０から対応するＩｏＴデバイス情報を検索し、対応するグラフィックを地図情報と対応付けて表示部４２０に表示させる（Ｓ１１０３）。 Next, the display control unit 310 searches for the corresponding IoT device information from the storage unit 330 based on a search operation by the user, and displays the corresponding graphic on the display unit 420 in association with the map information (S1103). ).
　また、グラフィック生成部３２０は、ＩｏＴデバイスの利用頻度に応じて、ＩｏＴデバイスに対応するグラフィックが変化するよう継続的に制御を行う（Ｓ１１０４）。 Also, the graphic generation unit 320 continuously controls the graphic corresponding to the IoT device to change according to the usage frequency of the IoT device (S1104).
　＜＜１．７．効果＞＞
　次に、本実施形態が奏する効果についてより詳細に説明する。上記までで説明した本実施形態に係る情報処理サーバ３０が有する機能によれば、下記に述べるようなエコシステムが生まれ、これまで活用が限定的であった１次デバイス１０の有効な活用が促進されるとともに、２次デバイス２０による推論データが創出する新たな価値の共有が進むことが期待される。 << 1.7. Effect >>
Next, the effect produced by the present embodiment will be described in more detail. According to the functions of the information processing server 30 according to the present embodiment described above, an ecosystem as described below is born, and effective use of the primary device 10 that has been limited in use is promoted. In addition, it is expected that sharing of new values created by the inference data by the secondary device 20 will progress.
　例えば、本実施形態に係るエコシステムでは、利用者による利用頻度が高いほどＩｏＴデバイスの設置者の集積が増加することとなる。このため、価値のあるＩｏＴデバイスを競合のない、または少ない地域に設置する動機が生じ、広域において多様なＩｏＴデバイスの設置が進むことが期待される。また、ＩｏＴデバイスを一度設置した後において、品質が維持できない場合には利用頻度が低下し、コンペティタへと利用者が流れてしまうため、ＩｏＴデバイスの設置者がデータの品質を高く維持するよう努力することが想定される。 For example, in the ecosystem according to the present embodiment, the higher the usage frequency by the user, the greater the accumulation of installers of IoT devices. For this reason, there is a motivation to install a valuable IoT device in an area where there is little or no competition, and it is expected that various IoT devices will be installed in a wide area. Also, once the IoT device is installed, if the quality cannot be maintained, the frequency of use will decrease, and the user will flow to the competitors. Therefore, the IoT device installer will strive to maintain high data quality. It is assumed that
　また、上述したように、本実施形態に係る表示制御部３１０は、ＩｏＴデバイスが、どこに、どれだけ、どれほどの頻度で利用されているか、を地図ベースのユーザインタフェースを用いて提示することができる。係る制御によれば、利用者が直観的に多くの情報を把握することができ、効果的な情報提示を実現することが可能である。 In addition, as described above, the display control unit 310 according to the present embodiment can present where, how often, and how often the IoT device is used using a map-based user interface. . According to such control, the user can intuitively grasp a lot of information, and it is possible to realize effective information presentation.
　さらには、上述した「ＬＩＦＥ」や、高評価や支持の意思を示すためのボタンなど、ソーシャルメディアやゲームなどで用いられる概念量を取り入れることで、親しみやすさや直観的なわかりやすさを持たせることができ、利用者がサービスを利用する際の心理的な敷居を下げる効果が期待される。 Furthermore, by incorporating the concept quantities used in social media and games, such as the “LIFE” mentioned above and buttons for indicating high appreciation and support intentions, it is possible to provide familiarity and intuitive comprehension. This is expected to lower the psychological threshold when the user uses the service.
　また、設置者に関しては、「ＬＩＦＥ」が下がらないように利用頻度を維持したい、という心理や、競合の少ない地域にＩｏＴデバイスを設置して利用量を独占したい、という心理を自然と生じることで、より質の高いＩｏＴデバイスがより多くの地域に設置される効果が期待される。また、近距離に類似するＩｏＴデバイスが複数設置されている場合には、競争原理により、より高品質なデータを提供するＩｏＴデバイスが「ＬＩＦＥ」を伸ばすことで、質の低いＩｏＴデバイスはいずれ淘汰されることとなる。 In addition, for the installer, there is a natural feeling that the user wants to maintain the frequency of use so that “LIFE” does not drop, or that the IoT device is installed in a region with little competition to monopolize usage. Therefore, it is expected that a higher quality IoT device will be installed in more regions. In addition, when a plurality of IoT devices similar to a short distance are installed, the IoT device that provides higher quality data extends “LIFE” according to the principle of competition, so that a low-quality IoT device is Will be.
　さらには、２次デバイス２０の設置者については、より「ＬＩＦＥ」が低い、すなわち安価な１次デバイス１０を入力として、より「ＬＩＦＥ」の高い、すなわちより収益の高い２次デバイス２０を創出したいという心理が生まれることとなる。このため、「ＬＩＦＥ」が高い１次デバイス１０を入力とする低「ＬＩＦＥ」な２次デバイス２０は、高コストとなるため、結果として撤退することを余儀なくされ、より高効率で高価値な２次デバイス２０のみが生き残っていく仕組みが生じる。 Furthermore, the installer of the secondary device 20 wants to create a secondary device 20 having a higher “LIFE”, that is, a higher profit, by inputting the primary device 10 having a lower “LIFE”, that is, an inexpensive one. The psychology is born. For this reason, since the low “LIFE” secondary device 20 that receives the primary device 10 having a high “LIFE” is high in cost, the secondary device 20 is forced to be withdrawn as a result. There is a mechanism in which only the next device 20 survives.
　なお、２次デバイス２０を作り出す過程においては、少なからず１次デバイス１０のデータを利用することとなるため、一定期間や一定のデータ量については、「ＬＩＦＥ」に依らず利用金額を下げる、あるいは無料にするなどして、利用に係る心理的敷居を下げることも可能である。 In the process of creating the secondary device 20, since the data of the primary device 10 is used at least, the usage amount is reduced regardless of “LIFE” for a certain period or a certain amount of data, or It is also possible to lower the psychological threshold for use by making it free.
　また、本実施形態に係る物理空間地図を利用したＩｏＴデバイス情報の提示によれば、ある地域において「ＬＩＦＥ」を伸ばしている２次デバイス２０を模倣し、別の地域において類似する２次デバイス２０を設置しようとする動きが生まれことが想定される。また、この場合、場所に依存性のある推論（例えば、アイスの需要予測は暑い地域では高価値であるが寒冷地では低価値である）については、需要が少ないため価値のないコピーはいずれ淘汰されることとなる。 In addition, according to the presentation of the IoT device information using the physical space map according to the present embodiment, the secondary device 20 that imitates “LIFE” in one area and is similar in another area. It is assumed that there will be a movement to install Also, in this case, for reasoning that depends on the location (for example, ice demand prediction is high value in hot regions but low value in cold regions), there is little demand, so a copy that is not worth sometime. Will be.
　さらには、上述した本実施形態に係るコミュニティ形成によれば、類似する特徴（例えば、類似するデータ種別）を有するＩｏＴデバイスを設置する設置者同士や、特徴の異なるＩｏＴデバイスの設置者同士において意見交換やアイデアの共有などが発生することで、より高価値なＩｏＴデバイスや、新たな発想を有するＩｏＴデバイスの創出が助長される効果が期待される。 Furthermore, according to the community formation according to the present embodiment described above, opinions between installers who install IoT devices having similar characteristics (for example, similar data types) and between installers of IoT devices having different characteristics. By exchanging and sharing ideas, it is expected that the creation of higher-value IoT devices and IoT devices having new ideas will be promoted.
　また、本実施形態に係るグラフィック生成機能によれば、ＩｏＴデバイスの特徴を反映したグラフィックが生成される。このため、利用者は、データ種別などＩｏＴデバイスに係る種々の情報をグラフィックから直観的に把握することが可能である。また、本実施形態に係る情報処理サーバ３０によれば、上記のグラフィックを地図上に配置することができ、視認性が向上するとともに、自分と似た思考から創出されたＩｏＴデバイスを探すことや、意外性のあるデザインを有するＩｏＴデバイスの詳細を確認するなどして新たな２次デバイス２０を創出したいという心理が生ずる。 Further, according to the graphic generation function according to the present embodiment, a graphic reflecting the characteristics of the IoT device is generated. Therefore, the user can intuitively grasp various information related to the IoT device such as the data type from the graphic. Further, according to the information processing server 30 according to the present embodiment, the above graphic can be arranged on a map, the visibility is improved, and an IoT device created from a thought similar to that of the user is searched. There is a feeling that it is desired to create a new secondary device 20 by confirming details of an IoT device having an unexpected design.
　さらには、本実施形態に係るグラフィック生成によれば、ＩｏＴデバイスの特徴に基づいて自動で新規デザインが生成されることから、これまでにないグラフィックを有するキャラクタを生み出したい心理により、新たな特徴を有する２次デバイス２０の創出が促進され、多種多様な推論データが広く共有される効果が期待される。 Furthermore, according to the graphic generation according to the present embodiment, since a new design is automatically generated based on the characteristics of the IoT device, a new characteristic can be obtained according to the psychology of creating a character having an unprecedented graphic. Creation of the secondary device 20 is promoted, and an effect that a wide variety of inference data is widely shared is expected.
　＜２．ハードウェア構成例＞
　次に、本開示の一実施形態に係る情報処理サーバ３０のハードウェア構成例について説明する。図１２は、本開示の一実施形態に係る情報処理サーバ３０のハードウェア構成例を示すブロック図である。図１２を参照すると、情報処理サーバ３０は、例えば、プロセッサ８７１と、ＲＯＭ８７２と、ＲＡＭ８７３と、ホストバス８７４と、ブリッジ８７５と、外部バス８７６と、インターフェース８７７と、入力装置８７８と、出力装置８７９と、ストレージ８８０と、ドライブ８８１と、接続ポート８８２と、通信装置８８３と、を有する。なお、ここで示すハードウェア構成は一例であり、構成要素の一部が省略されてもよい。また、ここで示される構成要素以外の構成要素をさらに含んでもよい。 <2. Hardware configuration example>
Next, a hardware configuration example of the information processing server 30 according to an embodiment of the present disclosure will be described. FIG. 12 is a block diagram illustrating a hardware configuration example of the information processing server 30 according to an embodiment of the present disclosure. Referring to FIG. 12, the information processing server 30 includes, for example, a processor 871, a ROM 872, a RAM 873, a host bus 874, a bridge 875, an external bus 876, an interface 877, an input device 878, and an output device 879. A storage 880, a drive 881, a connection port 882, and a communication device 883. Note that the hardware configuration shown here is an example, and some of the components may be omitted. Moreover, you may further include components other than the component shown here.
　（プロセッサ８７１）
　プロセッサ８７１は、例えば、演算処理装置又は制御装置として機能し、ＲＯＭ８７２、ＲＡＭ８７３、ストレージ８８０、又はリムーバブル記録媒体９０１に記録された各種プログラムに基づいて各構成要素の動作全般又はその一部を制御する。 (Processor 871)
The processor 871 functions as, for example, an arithmetic processing unit or a control unit, and controls all or part of the operation of each component based on various programs recorded in the ROM 872, RAM 873, storage 880, or removable recording medium 901. .
　（ＲＯＭ８７２、ＲＡＭ８７３）
　ＲＯＭ８７２は、プロセッサ８７１に読み込まれるプログラムや演算に用いるデータ等を格納する手段である。ＲＡＭ８７３には、例えば、プロセッサ８７１に読み込まれるプログラムや、そのプログラムを実行する際に適宜変化する各種パラメータ等が一時的又は永続的に格納される。 (ROM 872, RAM 873)
The ROM 872 is a means for storing a program read by the processor 871, data used for calculation, and the like. In the RAM 873, for example, a program to be read by the processor 871, various parameters that change as appropriate when the program is executed, and the like are temporarily or permanently stored.
　（ホストバス８７４、ブリッジ８７５、外部バス８７６、インターフェース８７７）
　プロセッサ８７１、ＲＯＭ８７２、ＲＡＭ８７３は、例えば、高速なデータ伝送が可能なホストバス８７４を介して相互に接続される。一方、ホストバス８７４は、例えば、ブリッジ８７５を介して比較的データ伝送速度が低速な外部バス８７６に接続される。また、外部バス８７６は、インターフェース８７７を介して種々の構成要素と接続される。 (Host bus 874, bridge 875, external bus 876, interface 877)
The processor 871, the ROM 872, and the RAM 873 are connected to each other via, for example, a host bus 874 capable of high-speed data transmission. On the other hand, the host bus 874 is connected to an external bus 876 having a relatively low data transmission speed via a bridge 875, for example. The external bus 876 is connected to various components via an interface 877.
　（入力装置８７８）
　入力装置８７８には、例えば、マウス、キーボード、タッチパネル、ボタン、スイッチ、及びレバー等が用いられる。さらに、入力装置８７８としては、赤外線やその他の電波を利用して制御信号を送信することが可能なリモートコントローラ（以下、リモコン）が用いられることもある。また、入力装置８７８には、マイクロフォンなどの音声入力装置が含まれる。 (Input device 878)
For the input device 878, for example, a mouse, a keyboard, a touch panel, a button, a switch, a lever, or the like is used. Furthermore, as the input device 878, a remote controller (hereinafter referred to as a remote controller) capable of transmitting a control signal using infrared rays or other radio waves may be used. The input device 878 includes a voice input device such as a microphone.
　（出力装置８７９）
　出力装置８７９は、例えば、ＣＲＴ（Ｃａｔｈｏｄｅ　Ｒａｙ　Ｔｕｂｅ）、ＬＣＤ、又は有機ＥＬ等のディスプレイ装置、スピーカ、ヘッドホン等のオーディオ出力装置、プリンタ、携帯電話、又はファクシミリ等、取得した情報を利用者に対して視覚的又は聴覚的に通知することが可能な装置である。また、本開示に係る出力装置８７９は、触覚刺激を出力することが可能な種々の振動デバイスを含む。 (Output device 879)
The output device 879 is a display device such as a CRT (Cathode Ray Tube), LCD, or organic EL, an audio output device such as a speaker or a headphone, a printer, a mobile phone, or a facsimile. It is a device that can be notified visually or audibly. The output device 879 according to the present disclosure includes various vibration devices that can output a tactile stimulus.
　（ストレージ８８０）
　ストレージ８８０は、各種のデータを格納するための装置である。ストレージ８８０としては、例えば、ハードディスクドライブ（ＨＤＤ）等の磁気記憶デバイス、半導体記憶デバイス、光記憶デバイス、又は光磁気記憶デバイス等が用いられる。 (Storage 880)
The storage 880 is a device for storing various data. As the storage 880, for example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, a magneto-optical storage device, or the like is used.
　（ドライブ８８１）
　ドライブ８８１は、例えば、磁気ディスク、光ディスク、光磁気ディスク、又は半導体メモリ等のリムーバブル記録媒体９０１に記録された情報を読み出し、又はリムーバブル記録媒体９０１に情報を書き込む装置である。 (Drive 881)
The drive 881 is a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, or writes information to the removable recording medium 901.
　（リムーバブル記録媒体９０１）
リムーバブル記録媒体９０１は、例えば、ＤＶＤメディア、Ｂｌｕ－ｒａｙ（登録商標）メディア、ＨＤ　ＤＶＤメディア、各種の半導体記憶メディア等である。もちろん、リムーバブル記録媒体９０１は、例えば、非接触型ＩＣチップを搭載したＩＣカード、又は電子機器等であってもよい。 (Removable recording medium 901)
The removable recording medium 901 is, for example, a DVD medium, a Blu-ray (registered trademark) medium, an HD DVD medium, or various semiconductor storage media. Of course, the removable recording medium 901 may be, for example, an IC card on which a non-contact IC chip is mounted, an electronic device, or the like.
　（接続ポート８８２）
　接続ポート８８２は、例えば、ＵＳＢ（Ｕｎｉｖｅｒｓａｌ　Ｓｅｒｉａｌ　Ｂｕｓ）ポート、ＩＥＥＥ１３９４ポート、ＳＣＳＩ（Ｓｍａｌｌ　Ｃｏｍｐｕｔｅｒ　Ｓｙｓｔｅｍ　Ｉｎｔｅｒｆａｃｅ）、ＲＳ－２３２Ｃポート、又は光オーディオ端子等のような外部接続機器９０２を接続するためのポートである。 (Connection port 882)
The connection port 882 is a port for connecting an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE 1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or an optical audio terminal. is there.
　（外部接続機器９０２）
　外部接続機器９０２は、例えば、プリンタ、携帯音楽プレーヤ、デジタルカメラ、デジタルビデオカメラ、又はＩＣレコーダ等である。 (External connection device 902)
The external connection device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, or an IC recorder.
　（通信装置８８３）
　通信装置８８３は、ネットワークに接続するための通信デバイスであり、例えば、有線又は無線ＬＡＮ、Ｂｌｕｅｔｏｏｔｈ（登録商標）、又はＷＵＳＢ（Ｗｉｒｅｌｅｓｓ　ＵＳＢ）用の通信カード、光通信用のルータ、ＡＤＳＬ（Ａｓｙｍｍｅｔｒｉｃ　Ｄｉｇｉｔａｌ　Ｓｕｂｓｃｒｉｂｅｒ　Ｌｉｎｅ）用のルータ、又は各種通信用のモデム等である。 (Communication device 883)
The communication device 883 is a communication device for connecting to a network. For example, a communication card for wired or wireless LAN, Bluetooth (registered trademark), or WUSB (Wireless USB), a router for optical communication, ADSL (Asymmetric Digital) Subscriber Line) routers or various communication modems.
　＜３．まとめ＞
　以上説明したように、本開示の一実施形態に係る情報処理サーバ３０は、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御する表示制御部３１０を備える。また、本開示の一実施形態に係る表示制御部３１０は、ＩｏＴデバイスを地図情報と関連付けて表示させること、を特徴の一つとする。係る構成によれば、センサ装置の設置および有効利用をより活性化するフレームワークを実現することが可能となる。 <3. Summary>
As described above, the information processing server 30 according to an embodiment of the present disclosure includes the display control unit 310 that controls information presentation related to the IoT device that is permitted to be used by a third party by the installer. One feature of the display control unit 310 according to an embodiment of the present disclosure is to display the IoT device in association with the map information. According to this configuration, it is possible to realize a framework that further activates the installation and effective use of the sensor device.
　以上、添付図面を参照しながら本開示の好適な実施形態について詳細に説明したが、本開示の技術的範囲はかかる例に限定されない。本開示の技術分野における通常の知識を有する者であれば、請求の範囲に記載された技術的思想の範疇内において、各種の変更例または修正例に想到し得ることは明らかであり、これらについても、当然に本開示の技術的範囲に属するものと了解される。 The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the technical scope of the present disclosure is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field of the present disclosure can come up with various changes or modifications within the scope of the technical idea described in the claims. Of course, it is understood that it belongs to the technical scope of the present disclosure.
　また、本明細書に記載された効果は、あくまで説明的または例示的なものであって限定的ではない。つまり、本開示に係る技術は、上記の効果とともに、または上記の効果に代えて、本明細書の記載から当業者には明らかな他の効果を奏しうる。 In addition, the effects described in this specification are merely illustrative or illustrative, and are not limited. That is, the technology according to the present disclosure can exhibit other effects that are apparent to those skilled in the art from the description of the present specification in addition to or instead of the above effects.
　また、本明細書の情報処理サーバ３０の処理に係る各ステップは、必ずしもフローチャートに記載された順序に沿って時系列に処理される必要はない。例えば、情報処理サーバ３０の処理に係る各ステップは、フローチャートに記載された順序と異なる順序で処理されても、並列的に処理されてもよい。 Further, each step related to the processing of the information processing server 30 in this specification does not necessarily have to be processed in time series in the order described in the flowchart. For example, each step related to the processing of the information processing server 30 may be processed in an order different from the order described in the flowchart, or may be processed in parallel.
　なお、以下のような構成も本開示の技術的範囲に属する。
（１）
　設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御する表示制御部、
　を備え、
　前記表示制御部は、前記ＩｏＴデバイスを地図情報と関連付けて表示させる、
情報処理装置。
（２）
　前記ＩｏＴデバイスは、センサ情報を収集する機能を有する物理構成である１次デバイスと、他の前記ＩｏＴデバイスが出力する情報に基づいて推論結果を出力する２次デバイスと、を含む、
前記（１）に記載の情報処理装置。
（３）
　前記地図情報は、物理空間を縮尺した物理空間地図に係る情報を含み、
　前記表示制御部は、前記ＩｏＴデバイスの設置位置を前記物理空間地図上に表示させる、
前記（２）に記載の情報処理装置。
（４）
　前記表示制御部は、前記１次デバイスの物理的な設置位置、および前記２次デバイスが用いるセンサ情報を収集する前記１次デバイスの物理的な設置位置から決定された前記２次デバイスの仮想的な設置位置を、前記物理空間地図上に表示させる、
前記（３）に記載の情報処理装置。
（５）
　前記表示制御部は、前記ＩｏＴデバイスの特徴に基づいて、前記ＩｏＴデバイスを前記地図情報と関連付けて表示させ、
　前記特徴は、データ種別、データ取得頻度、または前記ＩｏＴデバイスの被設置物種別のうち少なくともいずれかを含む、
前記（２）～（４）のいずれかに記載の情報処理装置。
（６）
　前記地図情報は、特徴空間を可視化した特徴空間地図に係る情報を含み、
　前記表示制御部は、前記ＩｏＴデバイスの前記特徴に基づいて、前記特徴空間地図における前記ＩｏＴデバイスの位置を表示させる、
前記（５）に記載の情報処理装置。
（７）
　前記表示制御部は、前記特徴空間を２次元空間に次元圧縮した前記特徴空間地図における前記ＩｏＴデバイスの位置を表示させる、
前記（６）に記載の情報処理装置。
（８）
　前記表示制御部は、前記地図情報に基づいて、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し地図上に表示させる、
前記（１）～（７）のいずれかに記載の情報処理装置。
（９）
　前記表示制御部は、物理空間を縮尺した物理空間地図において、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し、前記物理空間地図上に表示させる、
前記（８）に記載の情報処理装置。
（１０）
　前記表示制御部は、特徴空間を可視化した特徴空間地図において、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し、前記特徴空間地図上に表示させる、
前記（８）または（９）に記載の情報処理装置。
（１１）
　前記表示制御部は、前記設置者同士のコミュニケーションを促進するコミュニティの形成に係る制御を行う、
前記（１）～（１０）のいずれかに記載の情報処理装置。
（１２）
　前記表示制御部は、前記ＩｏＴデバイス間の特徴の類似度に基づいて、前記コミュニティの構成員となる前記設置者を選択する、
前記（１１）に記載の情報処理装置。
（１３）
　前記表示制御部は、特徴空間を可視化した特徴空間を可視化した特徴空間地図における前記ＩｏＴデバイス間の距離に基づいて、前記コミュニティの構成員となる前記設置者を選択する、
前記（１１）または（１２）に記載の情報処理装置。
（１４）
　前記表示制御部は、前記ＩｏＴデバイスに対応するキャラクタを前記地図情報と関連付けて表示させ、
　前記キャラクタのグラフィックは、前記ＩｏＴデバイスの特徴に基づいて生成される、
前記（１）～（１３）のいずれかに記載の情報処理装置。
（１５）
　前記表示制御部は、前記第三者による前記ＩｏＴデバイスの利用頻度に応じてグラフィックが変化する前記キャラクタを前記地図情報と関連付けて表示させる、
前記（１４）に記載の情報処理装置。
（１６）
　前記ＩｏＴデバイスの特徴に基づいて前記キャラクタのグラフィックを生成するグラフィック生成部、
　をさらに備える、
前記（１４）または（１５）に記載の情報処理装置。
（１７）
　前記ＩｏＴデバイスは、センサ情報を収集する機能を有する物理構成である１次デバイスを含み、
　前記グラフィック生成部は、前記１次デバイスの特徴分類ごとに設定された視覚表現に基づいて、前記１次デバイスに係る前記キャラクタのグラフィックを生成する、
前記（１６）に記載の情報処理装置。
（１８）
　前記ＩｏＴデバイスは、他の前記ＩｏＴデバイスが出力する情報に基づいて推論結果を出力する２次デバイスを含み、
　前記グラフィック生成部は、前記２次デバイスによる推論に用いられる前記ＩｏＴデバイスの特徴分類に基づいて、前記２次デバイスに係る前記キャラクタのグラフィックを生成する、
前記（１７）に記載の情報処理装置。
（１９）
　前記グラフィック生成部は、前記２次デバイスが出力する推論結果の特徴分類にさらに基づいて、前記２次デバイスに係るキャラクタのグラフィックを生成する、
前記（１８）に記載の情報処理装置。
（２０）
　プロセッサが、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御すること、
　を含み、
　前記制御することは、前記ＩｏＴデバイスを地図情報と関連付けて表示させること、
　をさらに含む、
情報処理方法。 The following configurations also belong to the technical scope of the present disclosure.
(1)
A display control unit that controls information presentation related to an IoT device that is permitted to be used by a third party by an installer;
With
The display control unit displays the IoT device in association with map information.
Information processing device.
(2)
The IoT device includes a primary device that is a physical configuration having a function of collecting sensor information, and a secondary device that outputs an inference result based on information output by the other IoT devices.
The information processing apparatus according to (1).
(3)
The map information includes information related to a physical space map obtained by reducing a physical space,
The display control unit displays an installation position of the IoT device on the physical space map;
The information processing apparatus according to (2).
(4)
The display control unit includes a virtual installation position of the secondary device determined from a physical installation position of the primary device and a physical installation position of the primary device that collects sensor information used by the secondary device. Display the correct installation position on the physical space map,
The information processing apparatus according to (3).
(5)
The display control unit displays the IoT device in association with the map information based on the characteristics of the IoT device,
The characteristics include at least one of a data type, a data acquisition frequency, or an installed object type of the IoT device.
The information processing apparatus according to any one of (2) to (4).
(6)
The map information includes information related to a feature space map that visualizes the feature space;
The display control unit displays the position of the IoT device in the feature space map based on the feature of the IoT device.
The information processing apparatus according to (5).
(7)
The display control unit displays a position of the IoT device in the feature space map obtained by dimensionally compressing the feature space into a two-dimensional space;
The information processing apparatus according to (6).
(8)
The display control unit acquires, based on the map information, the IoT device whose distance from a specified position is within a threshold and displays the IoT device on a map.
The information processing apparatus according to any one of (1) to (7).
(9)
The display control unit acquires the IoT device whose distance from a specified position is within a threshold in a physical space map with a reduced physical space, and displays the IoT device on the physical space map.
The information processing apparatus according to (8).
(10)
The display control unit acquires the IoT device having a distance from a specified position within a threshold in a feature space map that visualizes the feature space, and displays the IoT device on the feature space map.
The information processing apparatus according to (8) or (9).
(11)
The display control unit performs control related to formation of a community that promotes communication between the installers.
The information processing apparatus according to any one of (1) to (10).
(12)
The display control unit selects the installer to be a member of the community based on the similarity of features between the IoT devices.
The information processing apparatus according to (11).
(13)
The display control unit selects the installer to be a member of the community based on a distance between the IoT devices in a feature space map that visualizes a feature space.
The information processing apparatus according to (11) or (12).
(14)
The display control unit displays a character corresponding to the IoT device in association with the map information,
The graphic of the character is generated based on characteristics of the IoT device.
The information processing apparatus according to any one of (1) to (13).
(15)
The display control unit displays the character whose graphic changes according to the usage frequency of the IoT device by the third party in association with the map information.
The information processing apparatus according to (14).
(16)
A graphic generator for generating a graphic of the character based on characteristics of the IoT device;
Further comprising
The information processing apparatus according to (14) or (15).
(17)
The IoT device includes a primary device having a physical configuration having a function of collecting sensor information,
The graphic generation unit generates a graphic of the character related to the primary device based on a visual expression set for each feature classification of the primary device.
The information processing apparatus according to (16).
(18)
The IoT device includes a secondary device that outputs an inference result based on information output by the other IoT device,
The graphic generation unit generates a graphic of the character related to the secondary device based on a feature classification of the IoT device used for inference by the secondary device.
The information processing apparatus according to (17).
(19)
The graphic generation unit generates a graphic of the character related to the secondary device based on the feature classification of the inference result output by the secondary device;
The information processing apparatus according to (18).
(20)
The processor controls the presentation of information relating to IoT devices that are permitted for use by third parties by the installer;
Including
The controlling includes displaying the IoT device in association with map information;
Further including
Information processing method.
　１０　　　１次デバイス
　２０　　　２次デバイス
　３０　　　情報処理サーバ
　３１０　　表示制御部
　３２０　　グラフィック生成部
　３３０　　記憶部
　３４０　　通信部
　４０　　　情報処理端末 DESCRIPTION OF SYMBOLS 10 Primary device 20 Secondary device 30 Information processing server 310 Display control part 320 Graphic production | generation part 330 Storage part 340 Communication part 40 Information processing terminal

Claims (20)

  1. 　設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御する表示制御部、
    　を備え、
    　前記表示制御部は、前記ＩｏＴデバイスを地図情報と関連付けて表示させる、
    情報処理装置。     A display control unit that controls information presentation related to an IoT device that is permitted to be used by a third party by an installer;
    With
    The display control unit displays the IoT device in association with map information.
    Information processing device.
  2. 　前記ＩｏＴデバイスは、センサ情報を収集する機能を有する物理構成である１次デバイスと、他の前記ＩｏＴデバイスが出力する情報に基づいて推論結果を出力する２次デバイスと、を含む、
    請求項１に記載の情報処理装置。     The IoT device includes a primary device that is a physical configuration having a function of collecting sensor information, and a secondary device that outputs an inference result based on information output by the other IoT devices.
    The information processing apparatus according to claim 1.
  3. 　前記地図情報は、物理空間を縮尺した物理空間地図に係る情報を含み、
    　前記表示制御部は、前記ＩｏＴデバイスの設置位置を前記物理空間地図上に表示させる、
    請求項２に記載の情報処理装置。     The map information includes information related to a physical space map obtained by reducing a physical space,
    The display control unit displays an installation position of the IoT device on the physical space map;
    The information processing apparatus according to claim 2.
  4. 　前記表示制御部は、前記１次デバイスの物理的な設置位置、および前記２次デバイスが用いるセンサ情報を収集する前記１次デバイスの物理的な設置位置から決定された前記２次デバイスの仮想的な設置位置を、前記物理空間地図上に表示させる、
    請求項３に記載の情報処理装置。     The display control unit includes a virtual installation position of the secondary device determined from a physical installation position of the primary device and a physical installation position of the primary device that collects sensor information used by the secondary device. Display the correct installation position on the physical space map,
    The information processing apparatus according to claim 3.
  5. 　前記表示制御部は、前記ＩｏＴデバイスの特徴に基づいて、前記ＩｏＴデバイスを前記地図情報と関連付けて表示させ、
    　前記特徴は、データ種別、データ取得頻度、または前記ＩｏＴデバイスの被設置物種別のうち少なくともいずれかを含む、
    請求項２に記載の情報処理装置。     The display control unit displays the IoT device in association with the map information based on the characteristics of the IoT device,
    The characteristics include at least one of a data type, a data acquisition frequency, or an installed object type of the IoT device.
    The information processing apparatus according to claim 2.
  6. 　前記地図情報は、特徴空間を可視化した特徴空間地図に係る情報を含み、
    　前記表示制御部は、前記ＩｏＴデバイスの前記特徴に基づいて、前記特徴空間地図における前記ＩｏＴデバイスの位置を表示させる、
    請求項５に記載の情報処理装置。     The map information includes information related to a feature space map that visualizes the feature space;
    The display control unit displays the position of the IoT device in the feature space map based on the feature of the IoT device.
    The information processing apparatus according to claim 5.
  7. 　前記表示制御部は、前記特徴空間を２次元空間に次元圧縮した前記特徴空間地図における前記ＩｏＴデバイスの位置を表示させる、
    請求項６に記載の情報処理装置。     The display control unit displays a position of the IoT device in the feature space map obtained by dimensionally compressing the feature space into a two-dimensional space;
    The information processing apparatus according to claim 6.
  8. 　前記表示制御部は、前記地図情報に基づいて、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し地図上に表示させる、
    請求項１に記載の情報処理装置。     The display control unit acquires, based on the map information, the IoT device whose distance from a specified position is within a threshold and displays the IoT device on a map.
    The information processing apparatus according to claim 1.
  9. 　前記表示制御部は、物理空間を縮尺した物理空間地図において、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し、前記物理空間地図上に表示させる、
    請求項８に記載の情報処理装置。     The display control unit acquires the IoT device whose distance from a specified position is within a threshold in a physical space map with a reduced physical space, and displays the IoT device on the physical space map.
    The information processing apparatus according to claim 8.
  10. 　前記表示制御部は、特徴空間を可視化した特徴空間地図において、指定位置との距離が閾値以内にある前記ＩｏＴデバイスを取得し、前記特徴空間地図上に表示させる、
    請求項８に記載の情報処理装置。     The display control unit acquires the IoT device having a distance from a specified position within a threshold in a feature space map that visualizes the feature space, and displays the IoT device on the feature space map.
    The information processing apparatus according to claim 8.
  11. 　前記表示制御部は、前記設置者同士のコミュニケーションを促進するコミュニティの形成に係る制御を行う、
    請求項１に記載の情報処理装置。     The display control unit performs control related to formation of a community that promotes communication between the installers.
    The information processing apparatus according to claim 1.
  12. 　前記表示制御部は、前記ＩｏＴデバイス間の特徴の類似度に基づいて、前記コミュニティの構成員となる前記設置者を選択する、
    請求項１１に記載の情報処理装置。     The display control unit selects the installer to be a member of the community based on the similarity of features between the IoT devices.
    The information processing apparatus according to claim 11.
  13. 　前記表示制御部は、特徴空間を可視化した特徴空間を可視化した特徴空間地図における前記ＩｏＴデバイス間の距離に基づいて、前記コミュニティの構成員となる前記設置者を選択する、
    請求項１１に記載の情報処理装置。     The display control unit selects the installer to be a member of the community based on a distance between the IoT devices in a feature space map that visualizes a feature space.
    The information processing apparatus according to claim 11.
  14. 　前記表示制御部は、前記ＩｏＴデバイスに対応するキャラクタを前記地図情報と関連付けて表示させ、
    　前記キャラクタのグラフィックは、前記ＩｏＴデバイスの特徴に基づいて生成される、
    請求項１に記載の情報処理装置。     The display control unit displays a character corresponding to the IoT device in association with the map information,
    The graphic of the character is generated based on characteristics of the IoT device.
    The information processing apparatus according to claim 1.
  15. 　前記表示制御部は、前記第三者による前記ＩｏＴデバイスの利用頻度に応じてグラフィックが変化する前記キャラクタを前記地図情報と関連付けて表示させる、
    請求項１４に記載の情報処理装置。     The display control unit displays the character whose graphic changes according to the usage frequency of the IoT device by the third party in association with the map information.
    The information processing apparatus according to claim 14.
  16. 　前記ＩｏＴデバイスの特徴に基づいて前記キャラクタのグラフィックを生成するグラフィック生成部、
    　をさらに備える、
    請求項１４に記載の情報処理装置。     A graphic generator for generating a graphic of the character based on characteristics of the IoT device;
    Further comprising
    The information processing apparatus according to claim 14.
  17. 　前記ＩｏＴデバイスは、センサ情報を収集する機能を有する物理構成である１次デバイスを含み、
    　前記グラフィック生成部は、前記１次デバイスの特徴分類ごとに設定された視覚表現に基づいて、前記１次デバイスに係る前記キャラクタのグラフィックを生成する、
    請求項１６に記載の情報処理装置。     The IoT device includes a primary device having a physical configuration having a function of collecting sensor information,
    The graphic generation unit generates a graphic of the character related to the primary device based on a visual expression set for each feature classification of the primary device.
    The information processing apparatus according to claim 16.
  18. 　前記ＩｏＴデバイスは、他の前記ＩｏＴデバイスが出力する情報に基づいて推論結果を出力する２次デバイスを含み、
    　前記グラフィック生成部は、前記２次デバイスによる推論に用いられる前記ＩｏＴデバイスの特徴分類に基づいて、前記２次デバイスに係る前記キャラクタのグラフィックを生成する、
    請求項１７に記載の情報処理装置。     The IoT device includes a secondary device that outputs an inference result based on information output by the other IoT device,
    The graphic generation unit generates a graphic of the character related to the secondary device based on a feature classification of the IoT device used for inference by the secondary device.
    The information processing apparatus according to claim 17.
  19. 　前記グラフィック生成部は、前記２次デバイスが出力する推論結果の特徴分類にさらに基づいて、前記２次デバイスに係るキャラクタのグラフィックを生成する、
    請求項１８に記載の情報処理装置。     The graphic generation unit generates a graphic of the character related to the secondary device based on the feature classification of the inference result output by the secondary device;
    The information processing apparatus according to claim 18.
  20. 　プロセッサが、設置者により第三者の利用が許諾されたＩｏＴデバイスに係る情報提示を制御すること、
    　を含み、
    　前記制御することは、前記ＩｏＴデバイスを地図情報と関連付けて表示させること、
    　をさらに含む、
    情報処理方法。     The processor controls the presentation of information relating to IoT devices that are permitted for use by third parties by the installer;
    Including
    The controlling includes displaying the IoT device in association with map information;
    Further including
    Information processing method.
PCT/JP2018/046051 2018-03-06 2018-12-14 Information processing device and information processing method WO2019171702A1 (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014081937A (en) * 2012-10-16 2014-05-08 Korea Electronics Technology Inst IoT BROWSING METHOD AND DEVICE
WO2017126236A1 (en) * 2016-01-20 2017-07-27 三菱電機株式会社 Abnormality detection device and abnormality detection system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014081937A (en) * 2012-10-16 2014-05-08 Korea Electronics Technology Inst IoT BROWSING METHOD AND DEVICE
WO2017126236A1 (en) * 2016-01-20 2017-07-27 三菱電機株式会社 Abnormality detection device and abnormality detection system

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