KR20230068936A - Method of determining device position and electronic device performing the method - Google Patents

Abstract

Disclosed are a method for determining the location of a device and an electronic device for performing the same. According to various embodiments, the electronic device comprises: a processor; a communication module capable of communicating with devices stored in a memory; and the memory electrically connected to the processor and storing instructions executed by the processor, and the devices. When executed by the processor, the instructions cause the processor to: identify the location of the electronic device in a plurality of areas in which the devices can be located; determine location candidates for the devices in the plurality of areas, based on signals received from the devices and the location of the electronic device; collect the control histories of the devices by using the communication module; and determine the locations of the devices from among the location candidates, based on the control histories and the location of the electronic device. Therefore, the electronic device can determine the locations of the devices by using the signals collected from the devices registered in an IoT platform, the location of the electronic device, and the control histories of the devices.

Description

Device location determination method and electronic device performing the method

The disclosure below relates to a device location determination method and an electronic device performing the method.

Internet on things (IoT) platforms are mobile devices. It is a system that collects and exchanges information by connecting devices such as home appliances through communication. Users can control devices registered to the IoT platform using smart devices, and a certain level of automation that interacts according to user behavior can be expected.

In order to efficiently use the IoT platform, the locations of IoT devices registered to the platform can be set.

When registering a device to the IoT platform, the location of the device can be set. When the location of the device is changed from the location set at the time of initial registration to the IoT platform, the user must manually reset the location of the device.

If the location of the device is not reset even though the location of the device has changed, automation rules set in relation to the operation of the device in the IoT platform may malfunction.

According to various embodiments disclosed in this document, a device location determination method for determining a location candidate of a device using a signal collected from a device registered in an IoT platform and determining a location of a device using a control history of the device. and an electronic device.

According to various embodiments disclosed in this document, a method and electronic device location determination method for determining the location of a device using a control history in which a device was controlled offline and a location of a user at a point in time when the device was controlled in the control history of the device. device can be provided.

An electronic device according to various embodiments includes a processor, a communication module capable of communicating with a device stored in a memory, and the memory electrically connected to the processor and storing instructions executed by the processor and the device, The memory, when executed by the processor, identifies the location of the electronic device in a plurality of areas where the devices can be located, and based on a signal received from the device and the location of the electronic device, the memory determines the plurality of locations. determine a location candidate of the device in an area, collect a control history of the device using the communication module, and determine a location of the device among the location candidates based on the control history and the location of the electronic device; can do.

An electronic device according to various embodiments includes a communication module capable of communicating with a device stored in a processor memory and the memory electrically connected to the processor and storing instructions executed by the processor and the device, The memory, when executed by the processor, identifies the location of the electronic device in a plurality of areas where the devices can be located, and based on a signal received from the device and the location of the electronic device, the memory identifies the location of the plurality of areas. determines a location candidate of the device, collects a control history of the device using the communication module, identifies an offline control history in which a control signal is directly input to the device from the control history of the device, and controls the offline control The location of the device may be determined by comparing the location of the electronic device at the time when the history is generated with the location candidate.

A method for determining a location of a device according to various embodiments includes an operation of identifying a location of an electronic device in a plurality of areas where devices stored in a memory can be located, an operation of collecting a signal transmitted from the device to the electronic device, and the operation of collecting the signal. and determining a location candidate of the device in the plurality of areas based on the location of the electronic device and collecting a control history of the device, and determining the location candidate based on the control history and the location of the electronic device. It may include an operation of determining the location of the device.

According to various embodiments disclosed in this document, a method for determining a location of a device and an electronic device may determine the location of a device using a signal collected from a device registered in an IoT platform, a location of an electronic device, and a device control history.

According to various embodiments disclosed in this document, a method for determining a location of a device and an electronic device determine a location candidate of the device using signals collected from the device, and determine the location of the electronic device and the device at the point of time of the offline control history of the device. Reliability of the determined location of the device may be increased by determining the location of the device by comparing the location candidates of .

1 is a block diagram of an electronic device in a network environment, according to various embodiments.
2 is a diagram illustrating an operation for an electronic device to determine a device location according to various embodiments.
3 is a schematic block diagram of an electronic device according to various embodiments.
4 is a diagram illustrating an operation of determining a location candidate of a device by an electronic device according to various embodiments.
5 is a diagram illustrating an operation of an electronic device determining a location candidate of a device in consideration of labeling of each area and device information according to various embodiments.
6 is a diagram illustrating an operation of determining a location of a device by an electronic device according to various embodiments.
7 is a diagram illustrating an operation of an electronic device to determine a location of a device by using a moving path of the electronic device and/or state information of the electronic device according to various embodiments.
8 is a diagram illustrating a location candidate of a device and an operation of determining the location of the device by an electronic device according to various embodiments.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. In the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted.

1 is a block diagram of an electronic device 101 within a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100, an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or through a second network 199. It is possible to communicate with at least one of the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to one embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or the antenna module 197 may be included. In some embodiments, in the electronic device 101, at least one of these components (eg, the connection terminal 178) may be omitted or one or more other components may be added. In some embodiments, some of these components (eg, sensor module 176, camera module 180, or antenna module 197) are integrated into a single component (eg, display module 160). It can be.

The processor 120, for example, executes software (eg, the program 140) to cause at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or calculations. According to one embodiment, as at least part of data processing or operation, the processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 . According to one embodiment, the processor 120 may include a main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor). For example, when the electronic device 101 includes the main processor 121 and the auxiliary processor 123, the auxiliary processor 123 may use less power than the main processor 121 or be set to be specialized for a designated function. can The secondary processor 123 may be implemented separately from or as part of the main processor 121 .

The secondary processor 123 may, for example, take the place of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, running an application). ) state, together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to one embodiment, the auxiliary processor 123 (eg, image signal processor or communication processor) may be implemented as part of other functionally related components (eg, camera module 180 or communication module 190). there is. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. AI models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself where the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but in the above example Not limited. The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101 . The data may include, for example, input data or output data for software (eg, program 140) and commands related thereto. The memory 130 may include volatile memory 132 or non-volatile memory 134 .

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142 , middleware 144 , or an application 146 .

The input module 150 may receive a command or data to be used by a component (eg, the processor 120) of the electronic device 101 from the outside of the electronic device 101 (eg, a user). The input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101 . The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. A receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 may visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module 160 may include a touch sensor set to detect a touch or a pressure sensor set to measure the intensity of force generated by the touch.

The audio module 170 may convert sound into an electrical signal or vice versa. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a bio sensor, It may include a temperature sensor, humidity sensor, or light sensor.

The interface 177 may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device 101 to an external electronic device (eg, the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (eg, the electronic device 102). According to one embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or motion) or electrical stimuli that a user may perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 may manage power supplied to the electronic device 101 . According to one embodiment, the power management module 188 may be implemented as at least part of a power management integrated circuit (PMIC), for example.

The battery 189 may supply power to at least one component of the electronic device 101 . According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establishment and communication through the established communication channel may be supported. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : a local area network (LAN) communication module or a power line communication module). Among these communication modules, a corresponding communication module is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunications network such as a computer network (eg, a LAN or a WAN). These various types of communication modules may be integrated as one component (eg, a single chip) or implemented as a plurality of separate components (eg, multiple chips). The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 may be identified or authenticated.

The wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, NR access technology (new radio access technology). NR access technologies include high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access of multiple terminals (massive machine type communications (mMTC)), or high reliability and low latency (ultra-reliable and low latency (URLLC)). -latency communications)) can be supported. The wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 192 uses various technologies for securing performance in a high frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. Technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna may be supported. The wireless communication module 192 may support various requirements defined for the electronic device 101, an external electronic device (eg, the electronic device 104), or a network system (eg, the second network 199). According to one embodiment, the wireless communication module 192 is a peak data rate for eMBB realization (eg, 20 Gbps or more), a loss coverage for mMTC realization (eg, 164 dB or less), or a U-plane latency for URLLC realization (eg, Example: downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) may be supported.

The antenna module 197 may transmit or receive signals or power to the outside (eg, an external electronic device). According to one embodiment, the antenna module 197 may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is selected from the plurality of antennas by the communication module 190, for example. can be chosen A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module 197 in addition to the radiator.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first surface (eg, a lower surface) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, array antennas) disposed on or adjacent to a second surface (eg, a top surface or a side surface) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or part of operations executed in the electronic device 101 may be executed in one or more external electronic devices among the external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service by itself. Alternatively or additionally, one or more external electronic devices may be requested to perform the function or at least part of the service. One or more external electronic devices receiving the request may execute at least a part of the requested function or service or an additional function or service related to the request, and deliver the execution result to the electronic device 101 . The electronic device 101 may provide the result as at least part of a response to the request as it is or additionally processed. To this end, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an internet of things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199 . The electronic device 101 may be applied to intelligent services (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

FIG. 2 is a diagram illustrating an operation for an electronic device (eg, the electronic device 101 of FIG. 1 ) to determine a location of a device (eg, the electronic device 102 of FIG. 1 ) according to various embodiments.

Referring to FIG. 2 , an electronic device according to various embodiments may determine a location of a device stored in a memory (eg, the memory 130 of FIG. 1 ). For example, the electronic device may determine a location candidate of the device using a signal received from the device. For example, the electronic device may determine the location of the device from among location candidates based on the control history of the device and the location of the electronic device.

In operation 210, the electronic device according to various embodiments may identify the location of the electronic device. For example, an electronic device may communicate with a device stored in a memory using a communication module (eg, the communication module 190 of FIG. 1 ). For example, an electronic device may store a device in a memory. For example, the electronic device storing the device in a memory may cause the electronic device to connect to a first network (eg, first network 198 of FIG. 1 ) and/or a second network (eg, second network ( 198 of FIG. 1 )). 199)) may mean storing information for performing communication with a device.

For example, the electronic device may identify a plurality of areas in which devices stored in memory may be located. For example, the electronic device uses a method using a radio frequency (RF) signal such as Wi-Fi, BLE, UWB, etc. (eg, fingerprinting technique), a method using an external camera and/or a motion detection sensor (eg, surveillance technique), The position of the electronic device may be identified in the same way as a method (eg, SLAM, VIO) using a camera (eg, the camera module 180 of FIG. 1 ) of the electronic device. For example, the electronic device may identify a plurality of regions by using the location of the electronic device determined according to the user's movement.

An electronic device according to various embodiments may label each of a plurality of regions. For example, the electronic device may label each of the plurality of areas using at least one of an RF signal, an external camera and/or a motion detection sensor, and a method using a camera of the electronic device. For example, the electronic device may label regions according to the purpose of each region. For example, the electronic device may label each region by including context information. For example, the electronic device may label the area according to the purpose of the area, such as a living room, a main room, a kitchen, a bathroom, and the like.

For example, the electronic device may identify an area where the electronic device is located among a plurality of areas. For example, when the electronic device is located in the living room, the electronic device may be identified as being located in the living room area.

For example, the electronic device can identify information representing a plurality of areas as images (eg, indoor maps and design drawings), and can identify the location of the electronic device, such as coordinates, from the information represented as images. For example, in a two-dimensional area with a horizontal length of 20 m and a vertical length of 10 m, when the position of the electronic device is 5 m horizontally and 5 m vertically, the electronic device can identify the coordinates of the electronic device as (5,5). .

As another example, the electronic device may identify and image a plurality of regions. The electronic device may identify the location of the electronic device using coordinates in a plurality of imaged areas.

In operation 220, the electronic device according to various embodiments may collect signals transmitted from the device to the electronic device. For example, the electronic device may collect Wi-Fi signals and/or BLE signals from the device.

For example, the electronic device may periodically collect signals transmitted from the device. The electronic device may determine the location of the device using a signal periodically transmitted from the device, as will be described later. The electronic device determines the location of the device using a signal periodically transmitted from the device, so that even if the location of the device changes, the user can determine the location of the device without performing a separate registration process or location designation.

In operation 230, the electronic device according to various embodiments may determine a location candidate of a device in a plurality of areas based on the signal and the location of the electronic device. As an example, the electronic device may determine a location candidate using the strength of a signal collected from the device and the location of the electronic device when the signal is collected.

For example, the electronic device may determine an area closer to the location of the electronic device from among a plurality of areas as a location candidate as the strength of the signal collected from the device increases. The strength of the signal received by the electronic device may decrease as the transmission distance of the signal transmitted from the device to the electronic device increases.

For example, the fact that the magnitude of the first signal received by the electronic device from the device is greater than that of the second signal means that the device transmitting the first signal is located in an area closer to the electronic device than the device transmitting the second signal. It can mean positioning.

For example, the electronic device may convert the strength of a signal into a distance value using a received signal strength index (RSSI) value of a signal collected from a device. For example, the electronic device may convert the strength of the signal into a distance value using the RSSI value of the signal received from the device according to various signal attenuation models. For example, the strength of a signal may be converted into a distance value using an RSSI value according to a path loss propagation model.

For example, the electronic device may receive a Wi-Fi or BLE signal from the device, apply different signal attenuation models to the Wi-Fi signal and the BLE signal, and convert the strength of the signal into a distance value. The electronic device may apply various known signal attenuation models to convert signal strength into a distance value.

For example, the electronic device may convert the strength of a signal received from the device into a distance value, and may determine areas located at the distance value converted from the location of the electronic device as location candidates for the device.

As another example, when the strength of the RSSI value of the signal collected from the device is within a set range, the electronic device may determine the location candidate of the device as an area corresponding to the location of the electronic device. For example, when the strength of the signal received by the electronic device from the device is very high, it may mean that the device is located in the same area as the electronic device. The electronic device may set a range of RSSI values when the RSSI value is very large, for example, between -30 dBm and -40 dBm. When the intensity of the signal received from the device is within a set range (eg, -35 dBm), the electronic device may determine a location candidate for the device as an area corresponding to the location of the electronic device.

In operation 240, the electronic device according to various embodiments may collect a control history of the device. For example, the electronic device may collect the control history of the device using the communication module. For example, the electronic device may collect the control history of the device from the device or collect the control history by using a control signal transmitted from a communication module of the electronic device to the device.

For example, the electronic device may collect the control history of the device from the IoT platform. As an example, the IoT platform may refer to a device or program for managing and controlling devices stored in a memory of an electronic device.

For example, the electronic device may register, control, and manage devices by executing an application stored in a memory (eg, the application 146 of FIG. 1 ), and the executed application may refer to an IoT platform. As another example, the IoT platform may be an external electronic device capable of being communicatively connected to the device and the electronic device. The electronic device may register, control, and manage devices that may be communicatively connected to the external electronic device through the external electronic device.

For example, the electronic device may collect the control history of the device from the IoT platform. For example, the electronic device may execute an application stored in a memory and collect a control history of a registered device using the executed application. As another example, the electronic device is communicatively connected to an external electronic device for controlling and managing devices, and may collect a control history of the device from the external electronic device. The same information can be identified. For example, the electronic device may store information such as a device state, control history, and type in a memory. For example, the electronic device may collect information such as a device state, control history, and type from a device using a communication module, and store the information in a memory. For example, an electronic device uses an IoT platform to execute an application for registering, controlling, and managing devices, or using communication between the electronic device and an external electronic device capable of communicating with the device to determine the status and control history of the device. , type, etc. can be collected and stored in memory.

For example, the control history of the device collected by the electronic device may include information about how the device was controlled, for example, whether the device was controlled offline or online.

For example, controlling a device offline may mean that a user directly controls a device through means capable of receiving a direct input from a user, such as an input module included in the device. For example, in controlling a device online, a control signal input from a user in a device other than the device is transmitted to the device, and the device receives the control signal, such as when an electronic device transmits a control signal to the device through a communication module. It may mean changing an operation, state, etc. according to a signal.

For example, the electronic device may distinguish and identify an offline control history in which a control signal is directly input to the device and an online control history in which a control signal is indirectly input to the device, among the received control records of the device.

In operation 250, the electronic device according to various embodiments may determine the location of the device from the location candidates of the device based on the control history and the location of the electronic device. For example, the electronic device may determine the location of the device by comparing the location of the electronic device at the time of occurrence of the control history with a location candidate of the device.

For example, the electronic device may determine, as the location of the device, a location candidate identical to the location of the electronic device at the time when the offline control history was generated, among a plurality of location candidates. For example, since the generation of the offline control history means that the user has approached the device, the location of the electronic device at the time of occurrence of the offline control history may be the actual location of the device. The electronic device may estimate a location candidate identical to the location of the electronic device at the time when the offline control history was generated among the plurality of location candidates as the location of the actual device.

The electronic device determines a location candidate that is identical to the location of the electronic device at the time of occurrence of the offline control history as the location of the device from among the plurality of location candidates, and selects a location candidate that is highly likely to correspond to the location of the actual device from among the plurality of location candidates. It can be determined by the location of the device. The electronic device determines the location of the device using the control history, the strength of the signal received from the device, and the location of the electronic device, so that even if the location of the device is changed, the location of the device can be determined without the need to separately set the location of the changed device. .

3 is a schematic block diagram of an electronic device 101 according to various embodiments.

Referring to FIG. 3 , an electronic device 101 according to various embodiments may include a communication module 190 and a processor 120 . The electronic device 101 may receive the RF signal 600 (eg, Wi-Fi, BLE, UWB). The electronic device 101 uses the communication module 190 to connect the device 400 (eg, the electronic device 102 of FIG. 1 ) and/or the IoT platform 500 and a first network (eg, the first network in FIG. 1 ). 1 network 198) and/or a second network (second network 199 in FIG. 1).

Referring to FIG. 3 , an electronic device 101 according to various embodiments may receive an RF signal 600 through a communication module 190 . The processor 120 may identify the location of the electronic device 101 using the RF signal 600 received by the communication module 190 . The example in which the electronic device 101 shown in FIG. 3 identifies the location of the electronic device 101 using the RF signal 600 corresponds to one of various embodiments, and the electronic device is shown in FIG. 3 In an embodiment different from the illustrated embodiment, an electronic device ( 101) can be identified.

Referring to FIG. 3 , an electronic device 101 according to various embodiments may communicate with a device 400 and an IoT platform 500 through a communication module 190 . The electronic device 101 may receive a signal from the device 400 through the communication module 190 and receive a device control history from the IoT platform 500 . For example, the signal received from the device 400 may be a Wi-Fi or BLE signal.

The processor 120 of the electronic device 101 according to various embodiments may determine a location candidate of the device 400 using the location of the electronic device 101 and a signal received from the device 400 . For example, the processor 120 may convert the strength of a signal received from the device 400 into a distance value, and determine an area separated by the distance value from the location of the electronic device 101 as a location candidate for the device 400. there is.

The processor 120 of the electronic device 101 according to various embodiments may determine the location of the device 400 based on the location of the electronic device 101, a device control history, and a location candidate. For example, the processor 120 may identify an offline control history among device control histories. The processor 120 may compare the position of the electronic device 101 at the time when the offline control history occurs with the position candidate. The processor 120 may determine, as the location of the device 400, a location candidate that matches the location of the electronic device 101 at the time when the offline control history occurred, among the plurality of location candidates.

Among the various embodiments shown in FIG. 3 , the IoT platform 500 is a diagram illustrating an embodiment corresponding to an external electronic device capable of communicating with the device 400 and/or the electronic device 101 . In FIG. 3 , the IoT platform 500 may register registered devices in the memory 130 of the electronic device 101 . For example, the electronic device may identify a state of the device, or control or manage the device through the IoT platform 500 .

In an embodiment different from the embodiment shown in FIG. 3 , the electronic device 101 may collect a control history of the device 400 from the device 400 through the communication module 190 .

As an embodiment different from the embodiment shown in FIG. 3 , the IoT platform 500 may be an application (eg, the application 146 of FIG. 1 ) stored in the memory 130 of the electronic device 101 . The electronic device 101 may execute the IoT platform 500 and receive information such as status, control history, and types of devices using the IoT platform 500 and store them in the memory 130 .

FIG. 4 is a diagram illustrating an operation in which an electronic device (eg, the electronic device 101 of FIG. 1 ) determines a location candidate of a device (eg, the device 400 of FIG. 3 ) according to various embodiments.

4(a) is a diagram illustrating an operation of determining a location candidate according to the strength of a signal received from a device by an electronic device according to various embodiments.

Referring to FIG. 4 (a) , the electronic device according to various embodiments may convert the signal strength into a distance value using the RSSI value, which is the signal strength. For example, the electronic device may convert the strength of the signal received from the device into a distance value according to the signal attenuation model. As the distance of the signal transmitted from the device increases, the RSSI value may weaken. For example, the electronic device may calculate a distance through which the signal is transmitted using a path loss model and an RSSI value of a signal transmitted from the device. Various models may be applied to the signal attenuation model for converting the strength of the signal into a distance value by the electronic device to calculate the distance value through which the signal is transmitted according to the magnitude of the received signal.

For example, the electronic device may apply different signal attenuation models depending on whether the signal received from the device is a Wi-Fi signal or a BLE signal, and convert the signal into a distance value according to the strength of the signal.

In FIG. 4 (a), the electronic device may identify the location 310 of the electronic device. The electronic device may convert the magnitude of the signal received from the device into a distance value. The electronic device may determine area A, area B, and area C in the plurality of areas of FIG. 4 (a) as device location candidates according to the distance value from the location 310 of the electronic device. A straight line drawn from the position of the electronic device in FIG. 4 (a) may mean a distance value obtained by converting the signal strength of the electronic device.

FIG. 4(b) is a diagram illustrating a case where the electronic device receives a signal strength greater than the signal received from the device in FIG. 3(a). For example, as the strength of the received signal increases, the electronic device may determine an area closer to the location of the electronic device as a location candidate. In FIG. 4 (b), the electronic device may convert the strength of the signal received from the device into a distance value, and may determine the area D as a location candidate according to the distance value from the location 310 of the electronic device.

4(c) is a diagram illustrating an operation of an electronic device to determine a location candidate when the strength of a signal received from a device is within a set range, according to various embodiments. For example, when the strength of the signal received from the device is within a set range, the electronic device may determine the location of the electronic device as a location candidate of the device. For example, in FIG. 4 (c), when the strength of the signal received by the electronic device is -40dBm and the set range is -30dBm or more and -50dBm or less, the electronic device sets the area E corresponding to the location of the electronic device to the device. can be determined as a position candidate for

FIG. 5 is an electronic device (eg, the electronic device 101 of FIG. 1 ) according to various embodiments considering the labeling of each area and information of the device (eg, the device 400 of FIG. 3 ) to determine the position of the device. It is a diagram showing the operation of determining.

Referring to FIG. 5 , an electronic device (eg, the electronic device 101 of FIG. 1 ) according to various embodiments may determine a location candidate by considering labeling of a plurality of areas and received device information.

For example, the electronic device may store, in a memory, information about an area where devices are mainly located or a ranking of areas where devices are located, depending on the type of device.

For example, the electronic device may receive the device type from the device through the communication module. The electronic device may determine the priority of the region where the device is mainly located or the region where the device is located according to the type of the received device, and store it in the memory. The electronic device may determine a location candidate of the device using information about an area where the device is mainly located or a ranking of the area where the device is located. As another example, the electronic device may receive the type of the device through the IoT platform. According to the type of the received device, the priority of the area where the device is mainly located or the area where the device is located may be determined and stored in a memory.

For example, in FIG. 5 , area A may be a front door, area B may be labeled as a living room, and the type of device may be a TV. The electronic device may store, in a memory, information about an area where TVs are mainly located or a ranking of areas where TVs are located. For example, an area where a TV is mainly located according to a type of device may be an area labeled as a living room or a main room. For example, the order of regions where the TV is located may be in the order of living room, main room, kitchen, bathroom, entrance, and veranda.

In FIG. 5 , the electronic device may determine a location candidate of a device using labeling of an area and a type of device. For example, when the location 310 of the electronic device and the location candidates of the device according to the strength of the signal received from the device are A and B, the electronic device considers the area where the TV is mainly located among the information of the device and moves to the living room. The labeled area B can be determined as a location candidate.

In FIG. 5 , when the location 310 of the electronic device and the location candidates of the device according to the strength of the signal received from the device are A and B, the electronic device determines the living room according to the ranking of the area where the TV is located among device information. A region B labeled as may be determined as a location candidate. For example, the electronic device may determine a location candidate of the device by assigning a weight according to a rank of an area in which the electronic device is located.

FIG. 6 is a diagram illustrating an operation in which an electronic device (eg, the electronic device 101 of FIG. 1 ) determines a location of a device (eg, the device 400 of FIG. 3 ) according to various embodiments.

In (a) of FIG. 6, area A and area B represent location candidates determined by the electronic device using a signal received from the device. In FIG. 6 (a), the location 320 of the electronic device indicates the location of the electronic device at the time when the offline control history of the device occurred. Among the plurality of location candidates, the electronic device may determine area A corresponding to the area of the location 320 of the electronic device at the time when the offline control history occurred as the location of the device.

In FIG. 6(b) , the area E corresponding to the location 320 of the electronic device at the time of occurrence of the offline control history does not match among area C and area D determined as location candidates. For example, if the electronic device does not match an area corresponding to the location 320 of the electronic device at the time of occurrence of the offline control history and a location candidate, the electronic device determines a location candidate of a new device using a signal received from the device. , the location of the device may be determined by comparing the location 320 of the electronic device at the time when the offline control history occurs. As another example, the electronic device may determine area C, which is an area close to the location 320 of the electronic device at the time when the offline control history occurred, among areas C and D, as the location of the device.

FIG. 7 illustrates an electronic device (eg, the electronic device 101 of FIG. 1 ) according to various embodiments using a movement path and/or state information of the electronic device (eg, the device 400 of FIG. 3 ). )) is a diagram showing the operation of determining the location. In FIG. 7 , locations 320-1, 320-2, 320-3, and 320-4 of electronic devices correspond to locations of electronic devices at different times when offline control histories of devices occurred, and area A and area B , region C, and region D may mean device location candidates determined by the electronic device.

Referring to FIG. 7 , the electronic device according to various embodiments may determine the location of the device by considering the movement path of the electronic device and/or state information of the electronic device at the time of occurrence of the offline control history.

For example, the movement path of the device may include a movement path of the electronic device before and/or after a set time based on the time point when the offline control history occurred.

As an example, the state information of the electronic device may refer to information about the use of the electronic device, such as a charging state, a use state, and a lock state. For example, the charging state is a state in which the battery of the electronic device (eg, the battery 189 in FIG. 1 ) is being charged, and the use state is a state in which a screen is displayed on a display module (eg, the display module 160 in FIG. 1 ) of the electronic device. It may indicate a state in which the user is using the electronic device, such as being output or sound being output from a sound output module (eg, the sound output module 155 of FIG. 1 ). For example, the locked state may mean a state in which the power of the electronic device is turned on but not directly used by a user, and a screen is not output on the display module or a lock standby screen is output.

7(a) is a diagram illustrating an operation of determining a location of a device by an electronic device in consideration of a moving path of the electronic device according to various embodiments.

For example, the electronic device may determine the location of the device in consideration of the moving path of the electronic device at the time of occurrence of the offline control history of the device. In FIG. 7 (a), the position 320-1 of the electronic device is moving before and after the occurrence point of the device's offline control history, while the position 320-2 of the electronic device indicates the point of time the offline control history of the device occurred. It is fixed before and after. The electronic device may determine the area A where the location 320 - 1 of the electronic device matches the location candidate as the location of the device.

When the location of the electronic device changes before and after the offline control history of the device, it is more likely that the user is carrying the electronic device than when the location of the electronic device is fixed, and the location of the electronic device corresponds to the actual location of the device. may be more likely to In FIG. 7(a) , the electronic device considers the moving path of the electronic device and determines when the offline control history occurs among areas A and B where the location candidates 320-1 and 320-2 of the electronic device match. An area A where the position 320 - 1 of the electronic device, whose position changes before and after , and the position candidate coincide, may be determined as the position of the device.

7(b) is a diagram illustrating an operation of determining a location of a device by an electronic device in consideration of state information of the electronic device according to various embodiments. In FIG. 6(b) , the electronic device is in use when the offline control history of the location 320-3 of the electronic device occurs, and the electronic device is in use at the time the offline control history of the location 320-3 of the electronic device occurs. may be a state of charge.

For example, the electronic device may determine the location of the device in consideration of state information of the electronic device at the time of occurrence of the offline control history of the device. In FIG. 7 (b), the electronic device is in a use state at the position 320-3 of the electronic device, and is in a charging state at the position 320-4 of the electronic device. The electronic device may determine the region C, where the location 320 - 3 of the electronic device and the location candidate match, as the location of the device.

When the electronic device is in use at the time of the offline control history of the device, it is more likely that the user is carrying the electronic device than when the electronic device is in the charging state, and the location of the electronic device is more likely to correspond to the actual location of the device. can be high In FIG. 7(b) , the electronic device considers the state information of the electronic device and determines when the offline control history occurs among regions C and D where the positions 320-3 and 320-4 of the electronic device match position candidates. In this case, the area C where the location 320 - 3 of the electronic device in use and the location candidate coincides may be determined as the location of the device.

For example, when the electronic device is in a locked state at the locations 320-3 and 320-4 of the electronic device, the electronic device determines the location of the device in consideration of the movement path of the electronic device described in FIG. 7(a). can

FIG. 8 is a diagram illustrating a location candidate of a device (eg, the device 400 of FIG. 3 ) and an operation of determining the location of the device by an electronic device (eg, the electronic device 101 of FIG. 1 ) according to various embodiments. am. The area shown in FIG. 8 may be a subdivided area of a plurality of areas shown in FIGS. 4 to 7 . For example, the area shown in FIG. 8 may correspond to a subdivided area B from among the plurality of areas shown in FIG. 4 .

Referring to FIG. 8 , the electronic device according to various embodiments may determine a location candidate of a device and a location of the device in a subdivided area.

The area shown in FIG. 8 is a space recognition technique for an electronic device according to various embodiments, for example, a fingerprinting technique using an RF signal, a surveillance technique using an external camera and/or a motion detection sensor, and a camera using a camera of the electronic device. It may correspond to an imaged area of a space recognized using methods such as SLAM and VIO. As another example, the area shown in FIG. 8 may correspond to an area imaged using image information about space input to the electronic device.

Referring to (a) of FIG. 8 , based on the location 310 of the electronic device, the electronic device may determine areas corresponding to a distance value obtained by converting the strength of a signal received from the device as a location candidate of the device.

Referring to (b) of FIG. 8 , the electronic device may determine, as the location of the device, an area where the location 320 of the electronic device at the point in time when the offline control history of the device occurs and the plurality of location candidates match.

As shown in FIGS. 2 to 7 , the electronic device may determine the location of the device in a plurality of areas, as well as in a subdivided area as shown in FIG. 8 .

The electronic device 101 according to various embodiments is electrically connected to the processor 120 and the communication module 190 capable of communicating with the device 400 stored in the memory 130 and the processor 120, and the memory 130 for storing instructions executed by the processor 120 and the device 400, the memory 130, when executed by the processor 120, the device 400 The location of the electronic device 101 is identified in a plurality of areas where it can be located, and based on the signal received from the device 400 and the location of the electronic device 101, the device ( 400) determines a location candidate, collects a control history of the device 400 using the communication module 190, and selects among the location candidates based on the control history and the location of the electronic device 101. The location of the device 400 may be determined.

The memory 130, when executed by the processor 120, uses the strength of the signal, and as the strength of the signal increases, the area closer to the location of the electronic device 101 among the plurality of areas is selected as the location. can be determined as a candidate.

The memory 130, when executed by the processor 120, uses the strength of the signal, and determines the position of the electronic device 101 among the plurality of areas when the strength of the signal is within a set range. An area may be determined as the location candidate.

The plurality of areas are labeled according to the purpose of the area, and the memory 130, when executed by the processor 120, uses the labeling of the plurality of areas and the communication module 190. The location candidate may be determined in consideration of the received information of the device 400.

The memory 130, when executed by the processor 120, identifies an offline control history in which a control signal is directly input to the device 400 from the control history of the device 400, and the offline control history is The location of the electronic device 400 may be determined by comparing the location of the electronic device 101 at the time of occurrence with the location candidate.

The memory 130, when executed by the processor 120, considers the movement path of the electronic device 101 and state information of the electronic device 101 at the time of occurrence of the offline control history, so that the device (400) can be determined.

When executed by the processor 120, the memory 130 may periodically collect the signal transmitted from the device 400.

The electronic device 101 according to various embodiments includes a processor 120, a communication module capable of communicating with the device 400 stored in the memory 130, and electrically connected to the processor 120, and the processor ( 120) and the memory 130 for storing the device 400, and the memory 130, when executed by the processor 120, the device 400 will be located The location of the electronic device 101 is identified in a plurality of areas where the electronic device 101 can be located, and based on the signal received from the device 400 and the location of the electronic device 101, the device 400 is located in the plurality of areas. Determines a location candidate for , collects the control history of the device 400 using the communication module 190, and directly inputs a control signal to the device 400 from the control history of the device 400 offline. The location of the device 400 may be determined by identifying a control history and comparing the location of the electronic device 101 at the time when the offline control history was generated with the location candidate.

The memory 130, when executed by the processor 120, uses the strength of the signal, and as the strength of the signal increases, the area closer to the location of the electronic device 101 among the plurality of areas is selected as the location. can be determined as a candidate.

The memory 130, when executed by the processor 120, uses the strength of the signal, and determines the position of the electronic device 101 among the plurality of areas when the strength of the signal is within a set range. An area may be determined as the location candidate.

The plurality of areas are labeled according to the purpose of the area, and the memory 130, when executed by the processor 120, uses the labeling of the plurality of areas and the communication module 190. The location candidate may be determined in consideration of the received information of the device 400.

A method for determining a location of a device 400 according to various embodiments includes an operation of identifying a location of an electronic device 101 in a plurality of areas in which devices 400 stored in a memory 130 may be located, the device 400 ), an operation of collecting a signal transmitted to the electronic device 101, an operation of determining a location candidate of the device 400 in the plurality of areas based on the signal and the location of the electronic device 101, and An operation of collecting a control history of the device 400 and determining a location of the device 400 among the location candidates based on the control history and the location of the electronic device 101 may be included.

The operation of determining the location candidate of the device 400 determines, using the strength of the signal, as the signal strength increases, an area closer to the location of the electronic device 101 among the plurality of areas is determined as the location candidate. can

In the operation of determining the location candidate of the device 400, if the signal strength is within a set range using the signal strength, the location area of the electronic device 101 is selected from among the plurality of areas. position can be determined.

The plurality of areas are labeled according to the purpose of the area, and the operation of determining the location candidate of the device 400 takes into account the labeling of the plurality of areas and the received information of the device 400. Thus, the location candidate can be determined.

In the operation of determining the location of the device 400, an offline control history in which a control signal is directly input to the device 400 is identified in the control history of the device 400, and a time point at which the offline control history is generated The location of the device 400 may be determined by comparing the location of the electronic device 101 with the location candidate.

The operation of determining the location of the device 400 takes into account the moving path of the electronic device 101 and state information of the electronic device 101 at the time of occurrence of the offline control history, and determines the location of the device 400. location can be determined.

The operation of collecting the signal may periodically collect the signal transmitted from the device 400 .

Electronic devices according to various embodiments disclosed in this document may be devices of various types. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. An electronic device according to an embodiment of the present document is not limited to the aforementioned devices.

Various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, like reference numbers may be used for like or related elements. The singular form of a noun corresponding to an item may include one item or a plurality of items, unless the relevant context clearly dictates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "A Each of the phrases such as "at least one of , B, or C" may include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", or "first" or "secondary" may simply be used to distinguish a given component from other corresponding components, and may be used to refer to a given component in another aspect (eg, importance or order) is not limited. A (e.g., first) component is said to be "coupled" or "connected" to another (e.g., second) component, with or without the terms "functionally" or "communicatively." When mentioned, it means that the certain component may be connected to the other component directly (eg by wire), wirelessly, or through a third component.

The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logical blocks, parts, or circuits. can be used as A module may be an integrally constructed component or a minimal unit of components or a portion thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of this document provide one or more instructions stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101). It may be implemented as software (eg, the program 140) including them. For example, a processor (eg, the processor 120 ) of a device (eg, the electronic device 101 ) may call at least one command among one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the at least one command invoked. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain a signal (e.g. electromagnetic wave), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

According to one embodiment, the method according to various embodiments disclosed in this document may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smart phones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a device-readable storage medium such as a manufacturer's server, an application store server, or a relay server's memory.

According to various embodiments, each component (eg, module or program) of the above-described components may include a single object or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. there is. According to various embodiments, one or more components or operations among the aforementioned corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by a corresponding component of the plurality of components prior to the integration. . According to various embodiments, the actions performed by a module, program, or other component are executed sequentially, in parallel, iteratively, or heuristically, or one or more of the actions are executed in a different order, or omitted. or one or more other actions may be added.

Claims (18)

In electronic devices,
processor;
A communication module capable of communicating with a device stored in memory and
The memory electrically connected to the processor and storing instructions executed by the processor and the device
including,
the memory,
When executed by the processor, the location of the electronic device is identified in a plurality of areas where the devices can be located, and the device is located in the plurality of areas based on a signal received from the device and the location of the electronic device. An electronic device that determines a location candidate of a location, collects a control history of the device using the communication module, and determines a location of the device from among the location candidates based on the control history and the location of the electronic device. . According to claim 1,
the memory,
The electronic device, when executed by the processor, determines an area closer to the location of the electronic device from among the plurality of areas as the location candidate, using the strength of the signal as the strength of the signal increases. According to claim 1,
the memory,
The electronic device, when executed by the processor, determines an area of the location of the electronic device from among the plurality of areas as the location candidate when the strength of the signal is within a range in which the magnitude is set, using the strength of the signal. According to claim 1,
The plurality of regions are regions labeled according to the purpose of the region,
the memory,
and determining, when executed by the processor, the location candidate in consideration of the labeling of the plurality of regions and the information of the device received using the communication module. According to claim 1,
the memory,
When executed by the processor, identifies an offline control history in which a control signal is directly input to the device from the control history of the device, and compares the location of the electronic device and the location candidate at the time when the offline control history is generated. , an electronic device to determine the location of the device. According to claim 5,
the memory,
The electronic device, when executed by the processor, determines the location of the device in consideration of a moving path of the electronic device and state information of the electronic device at the time of occurrence of the offline control history. According to claim 1,
the memory,
An electronic device that, when executed by the processor, periodically collects the signal transmitted from the device. In electronic devices,
processor;
A communication module capable of communicating with a device stored in memory and
The memory electrically connected to the processor and storing instructions executed by the processor and the device
including,
the memory,
When executed by the processor, the location of the electronic device is identified in a plurality of areas where the devices can be located, and the device is located in the plurality of areas based on a signal received from the device and the location of the electronic device. Determines a position candidate of the device, collects the control history of the device using the communication module, identifies an offline control history in which a control signal is directly input to the device from the control history of the device, and generates the offline control history. and determining the location of the device by comparing the location of the electronic device at a time point with the location candidate. According to claim 8,
the memory,
The electronic device, when executed by the processor, determines an area closer to the location of the electronic device from among the plurality of areas as the location candidate, using the strength of the signal as the strength of the signal increases. According to claim 8,
the memory,
The electronic device, when executed by the processor, determines an area of the location of the electronic device from among the plurality of areas as the location candidate when the strength of the signal is within a range in which the magnitude is set, using the strength of the signal. According to claim 8,
The plurality of regions are regions labeled according to the purpose of the region,
the memory,
and determining, when executed by the processor, the location candidate in consideration of the labeling of the plurality of regions and the information of the device received using the communication module. identifying a location of an electronic device in a plurality of areas where devices stored in a memory may be located;
collecting a signal transmitted from the device to the electronic device;
determining a location candidate of the device in the plurality of areas based on the signal and the location of the electronic device; and
Collecting the control history of the device and determining the location of the device among the location candidates based on the control history and the location of the electronic device
Including, device location determination method. According to claim 12,
The operation of determining the location candidate of the device,
The device location determination method of claim 1 , wherein, using the signal strength, as the signal strength increases, an area closer to the location of the electronic device among the plurality of areas is determined as the location candidate. According to claim 12,
The operation of determining the location candidate of the device,
Using the strength of the signal, when the strength of the signal is within a set range, determining an area of the location of the electronic device among the plurality of areas as the location candidate. According to claim 12,
The plurality of regions are regions labeled according to the purpose of the region,
The operation of determining the location candidate of the device,
and determining the location candidate in consideration of the labeling of the plurality of areas and the received information of the device. According to claim 12,
The operation of determining the location of the device,
In the control history of the device, an offline control history in which a control signal is directly input to the device is identified, and the location of the electronic device at the time when the offline control history is generated is compared with the location candidate to determine the location of the device. , a method for determining device location. According to claim 16,
The operation of determining the location of the device,
Wherein the location of the device is determined by considering a moving path of the electronic device and state information of the electronic device at the time of occurrence of the offline control history. According to claim 12,
The operation of collecting the signal,
A device positioning method comprising periodically collecting the signal transmitted from the device.

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