Information processing device, information processing method, and information processing program

Abstract

To provide an information processing device for adjusting a charging capacity to a charging object possessed by a user on the basis of user information, an information processing method, and an information processing program.SOLUTION: In an information processing system in which a terminal device 1, a server device 100, and a radio charging device are communicably connected by wire or radio via a network, the server device comprises: an estimation unit which estimates a context of a user; and an adjustment unit which adjusts a charging capacity to a charging object possessed by the user according to the estimated context of the user. The adjustment unit strengthens the directivity of a radio wave of the radio charging device in a direction of the charging object possessed by the user according to the estimated context of the user. In addition, when the user moves, the adjustment unit strengthens the directivity of the radio wave of the radio charging device in the direction of the charging object possessed by the user by following the user.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] A technology for appropriately controlling wireless power supply using a radio wave reception method has been disclosed. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-191120 Summary of the Invention [Problem to be solved by the invention]

[0004] In the above-described conventional technology, a priority for power supply to the charging object is determined based on object information about the charging object, and wireless power supply to the charging object using a radio wave reception method is controlled based on the priority. However, while the above-described conventional technology focuses on the charging object, it does not pay attention to the circumstances or situation of the user who owns the charging object. For example, it does not pay attention to whether the user stays for a long time at a charging location such as a store where wireless power supply is possible or leaves after a short time.

[0005] The present application has been made in view of the above, and aims to adjust the charging capacity for a charging object possessed by a user based on information about the user. [Means for solving the problem]

[0006] The information processing device according to the present application is an information processing device serving as a server device that estimates the status of a user by machine learning, and does not use schedule information of a user who is carrying a charging target and is in a facility equipped with wireless power supply equipment, but estimates the status of the user from attribute information or history information of the user, or sensor information obtained from the terminal device of each user in the facility or from cameras, microphones, or various sensor devices installed in the facility. and predict the expected stay time from the estimated user situation. an estimation unit; According to the predicted expected stay time of the user, an adjustment unit that adjusts the charging capacity of wireless power supply to the charging object carried by the user, and the adjustment unit adjusts the charging capacity of the charging object carried by the user based on the expected stay time of each user in the facility. Depending on The charging capacity of the wireless power supply for the object to be charged carried by each user is adjusted, and the directionality of the radio waves from the wireless charging device is strengthened in the direction of the object to be charged carried by a user who is expected to stay for a relatively shorter time. [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to adjust the charging capacity for a charging object possessed by a user based on information about the user. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of the user information database. [Figure 6] FIG. 6 is a diagram illustrating an example of the history information database. [Figure 7] FIG. 7 is a diagram illustrating an example of the charging information database. [Figure 8] FIG. 8 is a flowchart showing a processing procedure according to the embodiment. [Figure 9] FIG. 9 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[0010] [1. Overview of information processing method] First, an overview of an information processing method performed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. Note that Fig. 1 explains an example in which a chargeable time is predicted from user information and the charging capacity of wireless power supply (wireless power supply) is adjusted.

[0011] 1, the information processing system 1 includes a terminal device 10, a server device 100, and a wireless charging device 200. The terminal device 10 and the server device 100, and the server device 100 and the wireless charging device 200 are connected to each other via a network N (see FIG. 2) in a wired or wireless manner so as to be able to communicate with each other. In this embodiment, the terminal device 10 cooperates with the server device 100.

[0012] The terminal device 10 is a smart device such as a smartphone or tablet terminal used by a user U, and is a portable terminal device capable of communicating with any server device via a wireless communication network such as 4G (Generation (4G)) or LTE (Long Term Evolution) networks. The terminal device 10 has a screen such as a liquid crystal display with a touch panel function, and accepts various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by the user U with a finger or a stylus. An operation performed on an area of the screen where content is displayed may be considered an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

[0013] The server device 100 is an information processing device that works in conjunction with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various data to the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.

[0014] The server device 100 may also be an information processing device that provides some kind of online web service to the terminal device 10 of each user U. For example, the server device 100 may provide the following web services: internet connection, search service, social networking service (SNS), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecast. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services or may be responsible for processing the web services.

[0015] The server device 100 can acquire user information regarding the user U. For example, the server device 100 acquires information regarding the attributes of the user U, such as the gender, age, and residential area of the user U. Then, the server device 100 stores and manages the information regarding the attributes of the user U together with the identification information (such as user ID) indicating the user U.

[0016] In addition, the server device 100 acquires various types of history information (log data) indicating the actions of the user U from the terminal device 10 of the user U or from various servers or the like based on the user ID or the like. For example, the server device 100 acquires a location history, which is a history of the location and time of the user U, from the terminal device 10. Also, the server device 100 acquires a search history, which is a history of the search queries input by the user U, from a search server (search engine). Further, the server device 100 acquires a browsing history, which is a history of the content browsed by the user U, from a content server. Additionally, the server device 100 acquires a purchase history (settlement history), which is a history of the user U's product purchases and settlement processes, from an e-commerce server or a settlement processing server. Moreover, the server device 100 may acquire a listing history or a sales history, which is a history of the user U's listings on a marketplace, from an e-commerce server or a settlement processing server. Also, the server device 100 acquires a posting history, which is a history of the user U's posts, from a posting server or an SNS server that provides a word-of-mouth posting service.

[0017] In the present embodiment, the terminal device 10 is a charging target that can be charged by wireless power supply. The server device 100 predicts the chargeable time from the information of the user U who possesses (owns, carries) the terminal device 10 that is the charging target, and adjusts the charging ability of the wireless power supply. For example, the server device 100 predicts the chargeable time from the context of the user U and adjusts the charging ability of the wireless power supply for the terminal device 10.

[0018] Note that the terminal device 10 is merely an example. In reality, the charging target may be a portable device other than the terminal device 10 that the user U can carry. For example, the charging target may be a portable music player, a smart speaker, a wireless device, a small electronic device, or the like that can be charged by wireless power supply.

[0019] For example, a user U carrying a terminal device 10 enters a store (or facility) equipped with wireless power supply equipment. The server device 100 identifies (identifies) each user U in the store, estimates the length of time each user U will be staying, and concentrates charging capacity on the user U whose stay time is shorter, thereby quickly charging the terminal device 10 of that user U.

[0020] At this time, the server device 100 cooperates with the wireless charging device 200 in the store. A plurality of wireless charging devices 200 are installed in the store. If the terminal device 10 of the user U is located within the store space, it can be charged by the wireless charging device 200. For example, this is a space transmission type wireless power transmission system.

[0021] [1-1. Example of operation] As shown in Fig. 1, the server device 100 collects user information about each user U in the store (step S1). In the case of a store where customers pay for products before picking them up (a prepayment store), such as a fast food restaurant, payment information from the store may be used as user information. The server device 100 may receive the payment information from the store terminal, or from an electronic payment app on the terminal device 10.

[0022] Next, the server device 100 identifies (discriminates) each user U from the collected user information (step S2). For example, the server device 100 identifies (discriminates) the user U from the user ID indicating the user U included in the user information. At this time, the server device 100 may identify (discriminate) the user U who is the owner of the terminal device 10 based on the information obtained from the terminal device 10 in the store (terminal information, user information, etc.). Alternatively, the server device 100 may identify (discriminate) the user U who is the owner of the terminal device 10 by using the identification information (member information, card information, etc.) of each user U obtained in the store and / or biometric authentication such as face image recognition and fingerprint authentication (biometric authentication) for each user U in the store.

[0023] Next, the server device 100 estimates the context of each user U from the collected user information (step S3). At this time, the server device 100 Informing may obtain the attribute information, history information, etc. of the user U based on the user ID included in the collected user information, and estimate the context of the user U from these information. For example, the server device 100 estimates the context of the user U from the search history, browsing history, average stay time, past stay time, schedule, etc. of the identified user U. In addition, the server device 100 may estimate the context of the user U from various information (sensor information, etc.) obtained by the terminal device 10 in the store, cameras, microphones, or various sensor devices installed in the store.

[0024] Then, the server device 100 adjusts the charging capacity for the charging target held by the user U according to the estimated context of the user U (step S4). In the present embodiment, the charging target is the terminal device 10 of the user U. However, in reality, it may be another charging target (other than the terminal device 10) held by the user U. The server device 100 may preset the priority order of a plurality of charging targets held by the user U according to a preset from the user U. Also, the server device 100 may determine the priority order of the charging targets from the context of each charging target. For example, the server device 100 may adjust the charging capacity so that the charging targets are charged in order from the charging target with the highest usage frequency or the charging target with the least battery remaining amount (battery remaining level). Since the battery remaining amount varies depending on how the user U uses the charging target and the charging timing, it can be said to be the context of the user U. Note that not limited to the battery remaining amount, the charging capacity may be adjusted so that the charging targets are charged in order from the charging target with the least battery capacity itself. Since the battery capacity varies depending on the charging target held by the user U, it can be said to be the context of the user U.

[0025] 〔1-2. Machine Learning〕 In the present embodiment, when estimating the context of the user U who has visited the store, the server device 100 may estimate the context of the user U by machine learning. For example, the server device 100 learns the combination of the user U, the store, and the user U's usual behavior (stay time, time until leaving the store, etc.) in the store, and creates a model for estimating (inferring) the context of the user U. Then, when the user U enters any store, the server device 100 uses the model to estimate the context of the user U.

[0026] It is expected that the behavior of the same user U (e.g., length of stay, time until leaving the store) may vary depending on the store used, the day of the week, and the time of day when the user visits the store. For example, if the user U is in a store near his / her workplace during the morning hours on a weekday (when he / she arrives at work), his / her stay time may be short, whereas if he / she is in a store other than his / her workplace (e.g., near his / her home) during the evening hours on a weekday (after leaving work) or on a holiday, his / her stay time may be long. Therefore, the server device 100 may estimate the context of the user U by taking into account information about the date and time (day of the week and time of day). For example, the server device 100 learns the combination of the user U, the store, the date and time when the user U visits the store, and the user U's behavior in the store (e.g., length of stay, time until leaving the store), and creates a model for estimating (inferring) the context of the user U. Then, when the user U enters a store, the server device 100 uses the model to estimate the context of the user U.

[0027] Furthermore, even for the same user U, it is expected that the user U's behavior (length of stay, time until leaving, etc.) may differ depending on whether or not the user is accompanied by someone (alone or in a group) and the type of person accompanied by the person (friend, romantic partner, family member, boss, colleague, business partner, etc.). Therefore, the server device 100 may estimate the context of the user U by taking into account information about the person accompanied by the user. For example, the server device 100 learns the combination of the user U, the store, the person accompanied by the user, and the user U's behavior in the store (length of stay, time until leaving, etc.), and creates a model for estimating (inferring) the context of the user U. Then, when the user U enters a store, the server device 100 uses the model to estimate the context of the user U. Furthermore, the information is not limited to the person accompanied by the user, but may also be information about the purpose of the store's use (private or business).

[0028] In addition, the server device 100 may share (unify) the models of users U belonging to the same segment. That is, the server device 100 creates a common model for users U belonging to the same segment. For example, the server device 100 shares the models of users U having the same attributes or users U taking the same actions.

[0029] [1-3. Example] For example, the server device 100 estimates the time until the user U leaves the store as the context of the user U from the search history, browsing history, average stay time, past stay time, schedule, etc. of the user U. Note that the time until leaving the store may be the stay time from entering the store to leaving the store, or the remaining time obtained by subtracting the elapsed time after entering the store from the expected stay time, or the difference (remaining time) from the current time to the expected leaving time. Specifically, the server device 100 estimates the time until each user U in the store leaves the store, and uses the estimated time until leaving the store as the context to provide a higher charging capacity for users with a shorter time until leaving the store.

[0030] At this time, the server device 100 controls the wireless charging device 200 that transmits power by radio waves, and strengthens the directivity of the radio waves of the wireless charging device 200 in the direction of the terminal device 10 of the user U. For example, the server device 100 directs the antenna that outputs the radio waves of the wireless charging device 200 in the direction of the terminal device 10 of the user U. Note that if the wireless charging device 200 is movable, the server device 100 may move the wireless charging device 200 itself. In addition, if possible, the server device 100 may not only strengthen the directivity of the radio waves but also increase the output (output power, radio wave intensity) of the radio waves.

[0031] Alternatively, a contact-type wireless charger or the like may be used instead of the wireless charging device 200. For example, the server device 100 may concentrate power on the wireless charger that is charging the terminal device 10 of the user U with a short remaining time, and control (adjust) the wireless charger to rapidly charge the terminal device 10.

[0032] In addition, the server device 100 adjusts the charging ability for each user U's terminal device 10 according to the relative context of each user U in the store. That is, the server device 100 changes the directivity of the radio wave of the wireless charging device 200 so as to preferentially charge the terminal device 10 of the user U with a relatively shorter remaining time based on the context of the user U.

[0033] At this time, the server device 100 strengthens the directivity of the radio wave of the wireless charging device 200 in the direction of the terminal device 10 of the user U who is expected to have a shorter time until leaving the store among the terminal devices 10 of each user U. At this time, the server device 100 adjusts the direction in which the wireless charging device 200 outputs radio waves so that more power is supplied to users who leave the store earlier. For example, when there are three transmission devices in the store and user A (1 hour until leaving the store) and user B (10 minutes until leaving the store) exist, the server device 100 adjusts the direction in which the wireless charging device 200 outputs radio waves so that one charges the terminal device of user A and two charge the terminal devices of user B.

[0034] Furthermore / Or, the server device 100 may adjust the charging ability for each user U's terminal device 10 according to the battery remaining amount of each user U's terminal device 10 in the store. For example, when there is no significant difference in the time until each user U leaves the store, the server device 100 may change the directivity of the radio wave of the wireless charging device 200 so as to preferentially charge the terminal device 10 of the user U with a relatively lower battery remaining amount in consideration of the current battery remaining amount of each terminal device 10.

[0035] At this time, the server device 100 strengthens the directivity of the radio wave of the wireless charging device 200 in the direction of the terminal device 10 with a relatively lower battery remaining amount among the terminal devices 10 of each user U. For example, when there are three transmission devices in the store and user A (battery remaining amount is 80%) and user B (battery remaining amount is 30%) exist, the server device 100 adjusts the direction in which the wireless charging device 200 outputs radio waves so that one charges the terminal device of user A and two charge the terminal devices of user B.

[0036] Furthermore, the server device 100 may adjust the charging capacity for the terminal device 10 of each user U depending on the store visit history and number of visits (facility visit history and number of visits) of each user U, the amount of product purchases, the number of times a service has been used, etc. For example, the server device 100 may change the directionality of radio waves from the wireless charging device 200 so as to prioritize charging the terminal device 10 of a user U who has visited the store relatively many times or who has purchased a large amount of products in total.

[0037] [1-4. Other] When a combination of wired and wireless power supply is implemented in a store, the server device 100 may exclude or include the terminal device 10 that uses wired power supply. This can be achieved by adjusting the power of the wired power supply. Furthermore, when the terminal device 10 can be charged using a combination of wired and wireless power supply, the server device 100 may strengthen the directionality toward the terminal device 10 that is being charged only by wireless power supply.

[0038] Furthermore, the server device 100 may accept settings from each user U regarding the model of device that the user wants to charge when entering an area where wireless power can be supplied. In this case, the user U sets in advance which model of device they want to be charged if they are selected as a user to be charged when entering an area where wireless power can be supplied. For example, the user U sets in advance that they want their smartphone to be powered wirelessly but not their smartwatch.

[0039] The server device 100 may exclude from the devices to be charged those that the user U has excluded in advance from the devices to be charged. For example, the server device 100 adjusts the direction in which the wireless charging device 200 outputs radio waves so as to avoid the devices that the user U has excluded in advance from the devices to be charged.

[0040] If a user U owns multiple devices, the server device 100 may adjust the charging so that priority is given to each of the user U's devices, or may adjust the charging so that priority is given to one of the devices (the device that takes the longest time to charge).

[0041] When the user U moves, the server device 100 may follow. For example, the server device 100 adjusts the direction in which the wireless charging device 200 outputs radio waves in accordance with the movement of the terminal device 10 of the user U.

[0042] Based on the preset settings of each user U, the server device 100 separately charges the devices that the user wants to charge (charging desired) and the devices that the user does not want to charge (charging not required) for each user using radio waves (directivity).

[0043] The server device 100 assigns priorities to each user U, not to each terminal device 10. For example, in a coffee shop where wireless power supply is possible, the server device 100 estimates that "this user U stays for a long time", "this user U will leave in 5 minutes", etc., and adjusts the direction in which the wireless charging device 200 outputs radio waves so as to preferentially charge the terminal device 10 of the user U who will leave in 5 minutes.

[0044] In addition, the server device 100 may target charging electric vehicles etc. outside the store (outdoor) instead of the terminal devices 10 inside the store. That is, the power supply method of this embodiment may be applied with electric vehicles, drones, etc. as the charging targets. In this way, it can also be applied to charging electric vehicles etc.

[0045] In addition, the server device 100 performs the processing related to the control (adjustment) of the wireless charging device 200. Therefore, by applying this embodiment, even if the remaining capacity is 10 units, 20 units can be charged.

[0046] For example, when each terminal device 10 is charged with full power, X w (watts) is required per unit. When the maximum wattage of use is 10X w in terms of the breaker and supply power, if charging is done without considering anything, 10 terminal devices can be charged. However, when the server device 100 controls the remaining capacity when charging each terminal device 10 (for example, when there are many terminal devices that do not need to be charged very much), by limiting the power supplied to each terminal device to 0.5X w, 20 terminal devices can be charged simultaneously in parallel.

[0047] Furthermore, a store can install around 20 wireless charging devices 200, even though it would normally be able to install only three due to the electrical capacity of the same drainage pipe.

[0048] Furthermore, when one of two charging targets is 95% charged and the other has only about 5% remaining, the server device 100 adjusts the charging target with the lower remaining battery power at that time by sending stronger radio waves to rapidly supply power.

[0049] [1-5. Dynamic Pricing for Wireless Power Supply] The server device 100 may add the accuracy (reliability) of the prediction to the metrics (metrics: measurement standard, scale, index) in addition to the predicted store exit time (available charging time) of the user U.

[0050] This means that, for example, the predicted time of store closure is not only estimated to be 7 hours from now, but also 10% after 1 hour, 60% within 2 hours, etc., so it is possible to take these into consideration when deciding on the targets for power supply and the amount of power to be supplied.

[0051] Furthermore, the server device 100 may use dynamic pricing to charge the customer 10 yen per hour if the predicted time to leave the store is within six hours, but may charge 100 yen per hour if the predicted time to leave the store is within 30 minutes.

[0052] For example, when providing a service such as a wireless power supply portal, the charge rate may be changed depending on the time until the user leaves the store. Also, if the user stays at the store for an hour longer to receive the power supply, the store will also benefit, so the charge may be offset (compensated for or offset) with the income from the store.

[0053] [2. Example of information processing system configuration] Next, a configuration of an information processing system 1 including a server device 100 according to an embodiment will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example of the configuration of the information processing system 1 according to an embodiment. As shown in Fig. 2, the information processing system 1 according to an embodiment includes a terminal device 10, a server device 100, and a wireless charging device 200. These various devices are connected to each other via a network N so as to be able to communicate with each other via a wired or wireless connection. The network N is, for example, a local area network (LAN) or a wide area network (WAN) such as the Internet.

[0054] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 2 is not limited to that shown in the figure. For example, in Fig. 2, for the sake of simplicity, only one terminal device 10 is shown, but this is merely an example and is not limiting, and two or more devices may be included.

[0055] The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 is a smart device such as a smartphone or a tablet terminal, a feature phone, a PC (Personal Computer), a PDA (Personal Digital Assistant), a game console or AV device with a communication function, a car navigation system, a wearable device such as a smart watch or a head-mounted display, smart glasses, etc.

[0056] In addition, the terminal device 10 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN (Local Area Network), and communicate with the server device 100.

[0057] The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or a workstation. Note that the server device 100 may be realized by cloud computing.

[0058] The wireless charging device 200 is installed, for example, inside a store and can charge the terminal device 10 of the user U in the store space by wireless power supply. For example, it is a space transmission type wireless power transmission system or the like. Note that the wireless charging device 200 may be a contact type wireless charger or the like. Also, instead of the wireless charging device 200, an outlet or a power supply device for wired power supply may be used.

[0059] [3. Configuration Example of Terminal Device] Next, the configuration of the terminal device 10 will be described with reference to FIG. 3. FIG. 3 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. 3, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a power receiving unit 15, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.

[0060] (Communication Unit 11) The communication unit 11 is connected to the network N (see FIG. 2) by wire or wirelessly, and transmits and receives information to and from the server device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.

[0061] (Display Unit 12) The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (Organic Electro-Luminescent Display). Also, the display unit 12 is a touch panel type display, but is not limited thereto.

[0062] (Input Unit 13) The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting characters, numbers, etc. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, etc. If the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. The input unit 13 may be a microphone that accepts voice input from the user U. The microphone may be wireless.

[0063] (Positioning unit 14) The positioning unit 14 receives signals (radio waves) transmitted from satellites of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10, which is the device itself, based on the received signals. That is, the positioning unit 14 positions the position of the terminal device 10. Note that GPS is merely an example of a GNSS (Global Navigation Satellite System).

[0064] The positioning unit 14 can also measure the position using various methods other than GPS. For example, the positioning unit 14 may measure the position by using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction, etc., as described below.

[0065] (Power receiving unit 15) The power receiving unit 15 receives power during charging. For example, when wireless power feeding is performed, the power receiving unit 15 receives power according to the charging capacity of the wireless charging device 200. The power receiving unit 15 charges the battery of the terminal device 10 based on the received power. Note that the power receiving unit 15 may be a charging terminal connected by a cable in wired power feeding.

[0066] (Wi-Fi positioning) For example, the positioning unit 14 determines the position of the terminal device 10 by using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication networks provided by each communication company. Specifically, the positioning unit 14 performs Wi-Fi communication or the like, and determines the distance from nearby base stations or access points to determine the position of the terminal device 10.

[0067] (Beacon positioning) In addition, the positioning unit 14 may determine the position by using the Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 determines the position of the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.

[0068] (Geomagnetic positioning) In addition, the positioning unit 14 determines the position of the terminal device 10 based on the geomagnetic pattern of the structure measured in advance and the geomagnetic sensor provided in the terminal device 10.

[0069] (RFID positioning) Also, for example, when the terminal device 10 has a function equivalent to a non-contact IC card used at a station ticket gate or a store, or has a function of reading an RFID (Radio Frequency Identification) tag, the used position is recorded together with the information on which settlement or the like is performed by the terminal device 10. The positioning unit 14 may determine the position of the terminal device 10 by acquiring such information. Also, the position may be determined by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

[0070] The positioning unit 14 may determine the position of the terminal device 10 by using one or a combination of the above-described positioning means as necessary.

[0071] (Sensor unit 20) The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices or wireless devices. In the example shown in FIG. 3 , the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a barometric pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.

[0072] The above-described sensors 21 to 28 are merely examples and are not intended to be limiting. That is, the sensor unit 20 may be configured to include some of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.

[0073] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements of the terminal device 10, such as tilt in three axial directions, based on the angular velocity of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

[0074] Since the terminal device 10 includes the acceleration sensor 21, the gyro sensor 22, the atmospheric pressure sensor 23, etc., it is possible to measure the position of the terminal device 10 using a technique such as Pedestrian Dead-Reckoning (PDR) that uses these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using a positioning system such as GPS.

[0075] For example, the number of steps, walking speed, and distance walked can be calculated using a pedometer that uses the acceleration sensor 21. In addition, the direction of travel, line of sight, and body tilt of the user U can be determined using the gyro sensor 22. In addition, the altitude and floor on which the terminal device 10 of the user U is located can be determined from the air pressure detected by the air pressure sensor 23.

[0076] The temperature sensor 24 detects, for example, the temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image around the terminal device 10.

[0077] The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the air pressure, temperature, sound, and illuminance, respectively, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. Furthermore, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation around the terminal device 10.

[0078] (control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM, input / output ports, etc., and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmitting unit 31, a receiving unit 32, and a processing unit 33.

[0079] (Transmitter 31) The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21 to 28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the server device 100 via the communication unit 11.

[0080] Furthermore, the transmission unit 31 can transmit user information about the user U stored in the storage unit 40, terminal information about the terminal device 10, and the like to the server device 100 via the communication unit 11.

[0081] (Receiver 32) The receiving unit 32 can receive various types of information provided by the server device 100 and requests for various types of information from the server device 100 via the communication unit 11.

[0082] (Processing unit 33) The processing unit 33 controls the entire terminal device 10, including the display unit 12. For example, the processing unit 33 can output various information transmitted by the transmitting unit 31 and various information received from the server device 100 by the receiving unit 32 to the display unit 12 for display.

[0083] The processing unit 33 also manages the battery of the terminal device 10. For example, the processing unit 33 measures the remaining battery capacity of the terminal device 10, and can output information relating to the remaining battery capacity to the display unit 12 for display, or can transmit the information from the transmission unit 31 to the server device 100 via the communication unit 11.

[0084] (Storage unit 40) The storage unit 40 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), an optical disk, etc. The storage unit 40 stores various programs, various data, etc.

[0085] [4. Server device configuration example] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 4, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0086] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is also connected to a network N (see FIG. 2) by wire or wirelessly.

[0087] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD, an SSD, an optical disk, etc. As shown in FIG. 4 , the storage unit 120 has a user information database 121, a history information database 122, and a charging information database 123.

[0088] (User Information Database 121) The user information database 121 stores user information about the user U. For example, the user information database 121 stores various information such as the attributes of the user U. FIG. 5 is a diagram showing an example of the user information database 121. In the example shown in FIG. 5, the user information database 121 has items such as "User ID (Identifier)," "Age," "Gender," "Home," "Workplace," and "Interests."

[0089] The "user ID" indicates identification information for identifying the user U. The "user ID" may be the contact information of the user U (telephone number, email address, etc.), or may be identification information for identifying the terminal device 10 of the user U.

[0090] Furthermore, "age" indicates the age of user U identified by the user ID. Note that "age" may be information indicating the specific age of user U (e.g., 35 years old), or may be information indicating the generation of user U (e.g., 30s). Alternatively, "age" may be information indicating the date of birth of user U, or may be information indicating the generation of user U (e.g., born in the 1980s). Furthermore, "gender" indicates the gender of user U identified by the user ID.

[0091] In addition, "home" indicates the location information of the home of user U identified by the user ID. In the example shown in FIG. 5, "home" is illustrated with an abstract symbol such as "LC11", but it may be latitude and longitude information or the like. Also, for example, "home" may be a region name or an address.

[0092] In addition, "workplace" indicates the location information of the workplace (school in the case of students) of user U identified by the user ID. In the example shown in FIG. 5, "workplace" is illustrated with an abstract symbol such as "LC12", but it may be latitude and longitude information or the like. Also, for example, "workplace" may be a region name or an address.

[0093] In addition, "interest" indicates the interest of user U identified by the user ID. That is, "interest" indicates an object that user U identified by the user ID is highly interested in. For example, "interest" may be a search query (keyword) that user U entered into a search engine and searched for. In the example shown in FIG. 5, "interest" is illustrated one by one for each user U, but there may be multiple.

[0094] For example, in the example shown in FIG. 5, it is shown that the age of user U identified by the user ID "U1" is "in his 20s" and the gender is "male". Also, for example, it is shown that the home of user U identified by the user ID "U1" is "LC11". Also, for example, it is shown that the workplace of user U identified by the user ID "U1" is "LC12". Also, for example, it is shown that user U identified by the user ID "U1" is interested in "sports".

[0095] Here, in the example shown in FIG. 5, abstract values such as "U1", "LC11", and "LC12" are used for illustration, but it is assumed that information such as specific character strings and numerical values is stored in "U1", "LC11", and "LC12". Hereinafter, in the figures regarding other information, there may be cases where abstract values are illustrated.

[0096] The user information database 121 may store various types of information depending on the purpose, without being limited to the above. For example, the user information database 121 may store various types of information related to the terminal device 10 of the user U. The user information database 121 may also store information related to the user U's attributes, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. For example, the user information database 121 may store information such as name, family structure, hometown (hometown), occupation, job title, income, qualifications, type of residence (detached house, apartment, etc.), whether or not the user has a car, commuting time, commuting route, commuter pass area (station, line, etc.), frequently used stations (other than the station nearest to home or workplace), extracurricular activities (location, time zone, etc.), hobbies, interests, lifestyle, etc.

[0097] (History Information Database 122) The history information database 122 stores various information related to history information (log data) that indicates the behavior of the user U. Fig. 6 is a diagram showing an example of the history information database 122. In the example shown in Fig. 6, the history information database 122 has items such as "user ID," "location history," "search history," "browsing history," "purchase history," and "posting history."

[0098] "User ID" indicates identification information for identifying user U. "Location history" indicates the location history, which is the history of user U's location and movements. "Search history" indicates the search history, which is the history of search queries entered by user U. "Browsing history" indicates the browsing history, which is the history of content viewed by user U. "Purchase history" indicates the purchase history, which is the history of purchases made by user U. "Posting history" indicates the posting history, which is the history of posts made by user U. "Posting history" may also include questions about user U's possessions.

[0099] For example, in the example shown in Figure 6, user U, identified by user ID "U1," moved as shown in "Location History #1," searched as shown in "Search History #1," viewed content as shown in "Viewing History #1," purchased specific products at specific stores as shown in "Purchase History #1," and posted as shown in "Posting History."

[0100] Here, in the example shown in Figure 6, abstract values such as "U1", "Location History #1", "Search History #1", "Browsing History #1", "Purchase History #1", and "Post History #1" are used for the illustration, but "U1", "Location History #1", "Search History #1", "Browsing History #1", "Purchase History #1", and "Post History #1" are assumed to store specific information such as character strings and numbers.

[0101] The history information database 122 is not limited to the above and may store various types of information depending on the purpose. For example, the history information database 122 may store the user U's usage history of a predetermined service. The history information database 122 may also store the user U's store visit history or facility visit history. The history information database 122 may also store the user U's payment history (electronic payment) using the terminal device 10.

[0102] (Charging Information Database 123) The charging information database 123 stores various information related to charging of a charging target possessed by the user U. Fig. 7 is a diagram showing an example of the charging information database 123. In the example shown in Fig. 7, the charging information database 123 has items such as "store," "user ID," "extra time," "charging target," "remaining battery level," and "charging device."

[0103] "Store" indicates the store (facility) that will be the charging location. For example, the store indicates the store that user U entered. Furthermore, "user ID" indicates identification information for identifying user U who is in the store. Furthermore, "slack time" indicates the slack time that user U has available to charge the charging target. For example, the slack time indicates the time until user U leaves the store.

[0104] Also, the "charging target" indicates the charging target possessed by the user U. There may be a plurality of charging targets. That is, one user U may possess a plurality of charging targets. For example, the charging target indicates a charging target that can be charged by wireless power supply. Note that the charging target is not limited to a smartphone, a tablet, etc., and may be an electric vehicle, a drone, etc.

[0105] Also, the "remaining battery level" indicates the remaining battery level (battery remaining level) of the charging target of the user U. Also, the "charging device" indicates a charging device that charges the charging target of the user U. For example, the charging device indicates a wireless charging device 200 that performs wireless power supply to the charging target of the user U. Note that the charging device may be an outlet, a power supply device, etc. that performs wired power supply to the charging target of the user U.

[0106] For example, in the example shown in FIG. 7, the user U identified by the user ID "U1" who is in the store "Cafe A" is estimated to have a spare time of "30 minutes" for charging, and the remaining battery level of the charging target "Smartphone #1" is "20%", indicating that it is being charged by the charging devices "Device #1, #2".

[0107] Note that the charging information database 123 is not limited to the above, and may store various information according to the purpose. For example, the charging information database 123 may store detailed information (charging ability, radio wave intensity, output direction) regarding individual charging devices. Also, the charging information database 123 may store the store visit history and the number of store visits (facility visit history and number of visits) of each user U.

[0108] (Control Unit 130) 4, the explanation will be continued. The control unit 130 is a controller, and is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like, by executing various programs (corresponding to examples of information processing programs) stored in a storage device inside the server device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 4, the control unit 130 has an acquisition unit 131, an identification unit 132, an estimation unit 133, and an adjustment unit 134.

[0109] (Acquisition part 131) The acquisition unit 131 acquires a search query input by the user U. For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. That is, the acquisition unit 131 acquires, via the communication unit 110, the keywords input by the user U into the search box of a search engine, website, or app.

[0110] Furthermore, the acquisition unit 131 acquires user information about the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, etc. from the terminal device 10 of the user U. Furthermore, the acquisition unit 131 may acquire the identification information indicating the user U, attribute information of the user U, etc. when registering the user U. Then, the acquisition unit 131 registers the user information in the user information database 121 of the storage unit 120.

[0111] Furthermore, the acquisition unit 131 acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. Then, the acquisition unit 131 registers the various types of history information in the history information database 122 of the storage unit 120.

[0112] (Specific Section 132) The identification unit 132 identifies (identifies) the user U from the user information related to the user U. For example, the identification unit 132 identifies (identifies) the user U from a user ID indicating the user U included in the user information. At this time, the identification unit 132 may identify (identify) the user U who is the owner of the terminal device 10 based on information (terminal information, user information, etc.) obtained from the terminal device 10 in the store. Alternatively, the identification unit 132 may identify (identify) the user U who is the owner of the terminal device 10 based on identification information (membership information, card information, etc.) of each user U obtained in the store and / or facial image recognition or fingerprint authentication (biometric authentication) related to each user U in the store.

[0113] (Estimation part 133) The estimation unit 133 estimates the context of the user U. For example, the estimation unit 133 estimates the context of the user U who visited the store that is the charging location from the search history, browsing history, average stay time, past stay time, schedule, etc. of the user U. The estimation unit 133 may also estimate the context of the user U from various information (sensor information, etc.) obtained by the terminal device 10 in the store, or by cameras, microphones, or various sensor devices installed in the store. The estimation unit 133 may also estimate the context of the user U by machine learning when the server device 100 estimates the context of the user U who visited the store.

[0114] Furthermore, the estimation unit 133 compares the context of each user U to determine which user U should be given priority for charging. At this time, the estimation unit 133 may compare the estimated context of each user U to determine the priority of each user U. For example, when the charging location is a store, the adjustment unit 134 uses the time until the user U leaves the store as context, compares the time until the user U leaves the store, and determines which user U should be given priority for charging (or the priority of each user U).

[0115] (Adjustment section 134) The adjustment unit 134 adjusts the charging capacity for the object to be charged held by the user U, according to the estimated context of the user U. For example, the adjustment unit 134 adjusts the charging capacity of wireless power supply for the object to be charged held by the user U, according to the estimated context of the user U. At this time, the adjustment unit 134 strengthens the directivity of radio waves from the wireless charging device toward the object to be charged held by the user U, according to the estimated context of the user U. Furthermore, when the user U moves, the adjustment unit 134 follows the user U and strengthens the directivity of radio waves from the wireless charging device toward the object to be charged held by the user U.

[0116] Furthermore, the adjustment unit 134 adjusts the charging capacity for the charging target owned by each user U according to the relative context of each of the multiple users U. For example, if the charging location is a store, the adjustment unit 134 uses the time until user U leaves the store as context, and increases the charging capacity as the time until user U leaves the store decreases. Furthermore, the adjustment unit 134 uses the remaining battery capacity of the charging target owned by user U as context, and increases the charging capacity as the remaining battery capacity of the charging target decreases.

[0117] When the user U has a plurality of objects to be charged, the adjustment unit 134 adjusts the charging capacity for a specific object to be charged among the plurality of objects to be charged.

[0118] [5. Processing Procedure] Next, the processing procedure by the server device 100 according to the embodiment will be described with reference to FIG. 8. FIG. 8 is a flowchart showing the processing procedure according to the embodiment. Note that the following processing procedure is repeatedly executed by the control unit 130 of the server device 100.

[0119] As shown in FIG. 8, the acquisition unit 131 of the server device 100 acquires user information regarding each user U in the store via the communication unit 110 (step S101).

[0120] Subsequently, the specifying unit 132 of the server device 100 specifies (identifies) each user U from the acquired user information regarding each user U (step S102). For example, the specifying unit 132 specifies (identifies) the user U from the user ID indicating the user U included in the user information.

[0121] Subsequently, the estimation unit 133 of the server device 100 estimates the context of each specified user U (step S103). For example, the estimation unit 133 estimates the time until the user U leaves the store from the attribute information, history information, etc. of the specified user U.

[0122] Subsequently, the estimation unit 133 of the server device 100 compares the estimated contexts of each user U and determines the user U to be preferentially charged (step S104). For example, the estimation unit 133 compares the estimated contexts of each user U and determines the priority order of each user U.

[0123] Subsequently, the adjustment unit 134 of the server device 100 adjusts the charging ability for the charging target held by the user U to be charged (step S105). For example, the adjustment unit 134 adjusts the wireless charging ability for the charging target held by the user U according to the estimated context of the user U. At this time, the adjustment unit 134 strengthens the directivity of the radio wave of the wireless charging device in the direction of the charging target held by the user U according to the estimated context of the user U.

[0124] 〔6. Modification Example〕 The above-described terminal device 10 and server device 100 may be implemented in various different forms other than the above embodiment. Therefore, hereinafter, modified examples of the embodiment will be described.

[0125] In the above embodiment, part or all of the processing executed by the server device 100 may actually be executed by the terminal device 10. For example, the processing may be completed in a stand-alone manner (by the terminal device 10 alone). In this case, it is assumed that the terminal device 10 has the functions of the server device 100 in the above embodiment. Further, in the above embodiment, since the terminal device 10 is in cooperation with the server device 100, from the perspective of the user U, the processing of the server device 100 also seems to be executed by the terminal device 10. That is, from another perspective, it can be said that the terminal device 10 includes the server device 100.

[0126] Also, in the above embodiment, the server device 100 controls the wireless charging device 200, but actually, the terminal device 10 may control the wireless charging device 200. For example, the terminal devices 10 of each user U may notify each other of the context of the user U, determine the terminal device 10 of the user U to be preferentially charged, and request the wireless charging device 200 to preferentially charge the terminal device 10 of that user U.

[0127] Also, in the above embodiment, when the server device 100 receives a charging request from the terminal device 10 of each user U in the store, it may determine the terminal device 10 of the user U to be preferentially charged from the context of those users U, and control the wireless charging device 200 to preferentially charge the terminal device 10 of that user U. At this time, the terminal device 10 of the user U who has not made a charging request may be excluded.

[0128] Also, in the above embodiment, wireless power supply is described as an example, but actually, wired power supply may be used. For example, when the charging capacity of wired power supply (the power supplied to each cable or each terminal device 10, the output for each outlet or output terminal of the power supply device, etc.) can be controlled (adjusted), the server device 100 estimates the context of each user U based on the information of each user U, and adjusts the charging capacity of the wired power supply to the terminal device 10 of each user U according to the estimated context of each user U.

[0129] [7. Effects] As described above, the information processing device (terminal device 10 or server device 100) according to the present application includes an estimation unit 133 that estimates the context of the user U, and an adjustment unit 134 that adjusts the charging capacity for the charging target possessed by the user U according to the estimated context of the user U.

[0130] The adjustment unit 134 adjusts the charging capacity of the wireless power supply for the charging target possessed by the user U according to the estimated context of the user U.

[0131] The adjustment unit 134 strengthens the directivity of the radio wave of the wireless charging device in the direction of the charging target possessed by the user U according to the estimated context of the user U.

[0132] When the user U moves, the adjustment unit 134 follows the user U and strengthens the directivity of the radio wave of the wireless charging device in the direction of the charging target possessed by the user U.

[0133] The adjustment unit 134 adjusts the charging capacity for the charging target possessed by each user U according to the relative context of each of the plurality of users U.

[0134] When the charging location is a store, the adjustment unit 134 uses the time until the user U leaves the store as the context, and the shorter the time until the user U leaves the store, the higher the charging capacity.

[0135] The adjustment unit 134 uses the remaining battery charge level of the battery to be charged owned by the user U as a context, and increases the charging capacity as the remaining battery charge level of the battery to be charged decreases.

[0136] When the user U has a plurality of objects to be charged, the adjustment unit 134 adjusts the charging capacity for a specific object to be charged among the plurality of objects to be charged.

[0137] By performing any one or a combination of the above-described processes, the information processing device according to the present application can adjust the charging capacity for the charging object possessed by the user based on the user information.

[0138] [8. Hardware Configuration] The terminal device 10 and the server device 100 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in Fig. 9, for example. The following description will be given taking the server device 100 as an example. Fig. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I / F (Interface) 1060, an input I / F 1070, and a network I / F 1080 are connected via a bus 1090.

[0139] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

[0140] The primary storage device 1040 is a memory device that primarily stores data used by the arithmetic unit 1030 for various operations, such as RAM (Random Access Memory). The secondary storage device 1050 is a storage device in which data used by the arithmetic unit 1030 for various operations and various databases are registered, and is realized by a ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, or the like. The secondary storage device 1050 may be an internal storage or an external storage. Further, the secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. Further, the secondary storage device 1050 may be a cloud storage (online storage), NAS (Network Attached Storage), a file server, or the like.

[0141] The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, a projector, and a printer, and is realized by a connector of a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input I / F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, a keypad, buttons, and a scanner, and is realized by, for example, USB or the like.

[0142] Further, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

[0143] The output device 1010 and the input device 1020 may be integrated into one device, such as a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated into one device as an input / output I / F.

[0144] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0145] The network I / F 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.

[0146] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

[0147] For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with the other device via the network I / F 1080 to call and use the functions and data of a program from another program of the other device.

[0148] [9. Other] The embodiments of the present application have been described above, but the present invention is not limited by the content of these embodiments. Further, the components described above include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those within the so-called equivalent range. Furthermore, the above-described components can be combined as appropriate. Moreover, various omissions, substitutions, or changes of the components can be made without departing from the gist of the above-described embodiments.

[0149] Also, among the respective processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or all or part of the processes described as being manually performed can be automatically performed by a known method. In addition, regarding the processing procedures, specific names, and information including various data and parameters shown in the above documents and drawings, they can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

[0150] Also, each component of each illustrated device is a functional concept, and it is not necessarily physically configured as shown in the figure. That is, the specific form of the distribution and integration of each device is not limited to that shown in the figure, and all or part of it can be functionally or physically distributed and integrated in any unit according to various loads, usage situations, etc.

[0151] For example, the above-described server device 100 may be realized by a plurality of server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform or the like using an API (Application Programming Interface) or network computing.

[0152] Also, the above-described embodiments and modified examples can be appropriately combined as long as the processing contents do not conflict.

[0153] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0154] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 121 User Information Database 122 Historical Information Database 123 Charging Information Database 130 Control Unit 131 Acquisition Department 132 Specific part 133 Estimation Department 134 Adjustment section

Claims

1. An information processing apparatus as a server device for estimating the situation of a user by machine learning, without using the schedule information of a user who has a charging target and is in a facility equipped with wireless power supply facilities, from the attribute information or history information of the user, or sensor information obtained by the terminal device of each user in the facility or cameras, microphones or various sensor devices installed in the facility, estimating the situation of the user, and predicting an expected stay time from the estimated situation of the user; an adjustment unit that adjusts the charging ability of wireless power supply for the charging target possessed by the user according to the predicted expected stay time of the user; comprising: the adjustment unit adjusts the charging ability of wireless power supply for the charging target possessed by each user according to the predicted expected stay time of each user in the facility, and strengthens the directivity of the radio wave of the wireless charging device in the direction of the charging target possessed by the user with a relatively shorter predicted stay time; An information processing apparatus characterized by this.

2. When the user moves, the adjustment unit follows the user and strengthens the directivity of the radio wave of the wireless charging device in the direction of the charging target possessed by the user. The information processing apparatus according to claim 1, characterized by this.

3. The estimation unit learns a combination of the user, a facility equipped with wireless power supply facilities, a companion sitting together, and the user's usual behavior in the facility, creates a model for estimating the situation of the user, and when the user enters the facility, uses the model to estimate the situation of the user. The information processing apparatus according to claim 1 or 2, characterized by this.

4. When the user has a plurality of charging targets, the adjustment unit determines the priority of the charging targets according to the priority preset from the user or from the situation of each charging target, and adjusts the charging ability for each charging target. The information processing apparatus according to any one of claims 1 to 3, characterized by this.

5. The estimation unit identifies each of a plurality of users in a facility equipped with wireless power supply facilities, without using the schedule information of each user, from the attribute information or history information of each user, or sensor information obtained by the terminal device of each user in the facility or cameras, microphones or various sensor devices installed in the facility, estimates the situation of each user, and predicts the expected stay time of each user from the estimated situation of each user. The adjustment unit adjusts the charging capacity for the charging targets held by each user so as to preferentially charge the charging targets of users with relatively shorter predicted stay times according to the predicted stay times of the respective users. The information processing apparatus according to any one of claims 1 to 4, characterized in that.

6. When the charging location is a store, the estimation unit predicts the time until the user leaves the store from the situation of the user inferred, The adjustment unit makes the charging capacity higher as the time until the user leaves the store is shorter according to the predicted time until the user leaves the store. The information processing apparatus according to any one of claims 1 to 5, characterized in that.

7. The adjustment unit determines the priority of the charging targets from the usage frequency or battery remaining amount of the charging targets held by the user, and makes the charging capacity higher as the usage frequency of the charging target is higher or the battery remaining amount of the charging target is lower. The information processing apparatus according to any one of claims 1 to 6, characterized in that.

8. When the user holds a plurality of charging targets, the adjustment unit adjusts the charging capacity for a specific charging target among the plurality of charging targets held by the user. The information processing apparatus according to any one of claims 1 to 7, characterized in that.

9. An information processing method executed by an information processing apparatus as a server apparatus that estimates the situation of a user by machine learning, Without using the schedule information of the user in the facility where there is wireless power supply equipment with a charging target, from the attribute information or history information of the user, or sensor information obtained by the terminal device of each user in the facility or cameras, microphones or various sensor devices installed in the facility, estimate the situation of the user, and a estimation step of predicting the predicted stay time from the estimated situation of the user; An adjustment step of adjusting the charging capacity of wireless power supply for the charging target held by the user according to the predicted stay time of the user; Including, In the adjustment step, according to the predicted stay time of each user in the facility, adjust the charging capacity of wireless power supply for the charging targets held by each user, and strengthen the directivity of the radio wave of the wireless charging device in the direction of the charging target held by the user with a relatively shorter predicted stay time. The information processing method characterized by that.

10. Without using the schedule information of a user who has a charging target and is in a facility equipped with wireless power supply, from the attribute information or history information of the user, or sensor information obtained by the terminal device of each user in the facility or cameras, microphones or various sensor devices installed in the facility, estimate the situation of the user, and an estimation procedure for predicting the expected stay time from the estimated situation of the user, An adjustment procedure for adjusting the charging ability of wireless power supply for the charging target possessed by the user according to the predicted expected stay time of the user, An information processing program for causing a computer as a server device that estimates the situation of a user by machine learning to execute, In the adjustment procedure, according to the predicted expected stay time of each user in the facility, adjust the charging ability of wireless power supply for the charging target possessed by each user, and strengthen the directivity of the radio wave of the wireless charging device in the direction of the charging target possessed by the user with a relatively shorter predicted expected stay time An information processing program characterized by this.

Images