KR20220118097A - Method, apparatus and storage medium for generating control information - Google Patents

Abstract

According to various embodiments of the present invention, an electronic device comprises: a memory; a communication circuit; and at least one processor operatively coupled with the memory and the communication circuit. The memory can store instructions to allow the processor, on execution, to obtain first control information usable by a plurality of users from at least one device of a cloud through the communication circuit, wherein the first control information includes event information and operation information on a first external electronic device related to the event information, to identify at least one of information on at least one event related to an event occurring before or after a time point of the occurrence of the event and context information on at least one user related to the event among the users when the event information-based event occurs, to update at least one of the event information and the operation information on the basis of identified information, and to generate second control information by updating the first control information to include at least one of the updated event information and the updated operation information. Other embodiments may also be possible. Therefore, cloud load and maintenance costs can be reduced.

Description

METHOD, APPARATUS AND STORAGE MEDIUM FOR GENERATING CONTROL INFORMATION

Various embodiments relate to a method, apparatus and storage medium for generating control information.

The Internet of things (IoT) may provide a new intelligent Internet technology service to a user by collecting and analyzing data generated between connected things. IoT can be applied to various fields such as smart home, smart building, smart city, smart car or connected car, smart grid, healthcare, smart home appliance, and advanced medical service through various convergence with existing information technology (IT). can

Home IoT systems are electronic devices such as home appliances (eg TVs, air conditioners, refrigerators, etc.), energy consuming devices (eg water, electricity, air conditioning, etc.), or security devices (eg door locks, surveillance cameras, etc.) connected to a communication network. It is a system that allows you to monitor or control them. A user may connect and control electronic devices in the house using a mobile terminal. Home IoT systems have evolved from remote control, so that artificial intelligence (AI) devices learn the situation and the user's preferences, and provide the appropriate results by themselves.

In a typical home IoT system, all data for inference of a usage pattern or correlation analysis of an electronic device may be stored in the cloud. When user information is used, since user information may also be stored in the cloud, a problem of privacy infringement may occur in a typical home IoT system.

User information may not be stored in the cloud to avoid the issue of privacy invasion. However, in this case, it may be difficult for the home IoT system to learn the user's taste or to provide a service that suits the user's characteristics.

A method of protecting user information stored in the cloud based on security information may be used, but may not be appropriate in consideration of cost and resource efficiency. For example, when user information and all information related to the electronic device are stored in the cloud, the amount of data stored in the cloud may be enormous. In addition, a cloud storage cost for maintaining data required for analysis may increase, and a cost required for security may be additionally incurred. In addition, as the number of electronic devices increases, the cost of resources for analysis may increase exponentially.

According to various embodiments, at least one device in the cloud generates control information usable by a plurality of users based on data related to at least one external electronic device stored in the cloud, and uses the generated control information to the edge ( edge) to the device. The edge device may receive the generated control information, update the received control information based on user-specific context information, and provide it to the user.

According to various embodiments, an electronic device may include a memory; communication circuit; at least one processor operatively coupled with the memory and the communication circuitry, wherein the memory, when executed, causes the at least one processor to: obtains first control information usable by users, the first control information includes event information and operation information of a first external electronic device related to the event information, and when an event based on the event information occurs, Identifies at least one of information about at least one event related to the event that occurred before or after the time when the event occurred, or context information about at least one user related to the event among the plurality of users, Updates at least one of the event information or the operation information based on the identified information, and updates the first control information to include at least one of the updated event information or the updated operation information to generate second control information instructions can be stored.

According to various embodiments, a method of generating control information for an external electronic device in an electronic device includes: acquiring first control information usable by a plurality of users from at least one device in a cloud; The first control information includes event information and operation information of a first external electronic device related to the event information. When an event based on the event information occurs, the event is generated before or after the event occurs identifying at least one of information on at least one event associated with , or context information on at least one user associated with the event among the plurality of users; updating at least one of the event information and the operation information based on the identified information; and updating the first control information to include at least one of updated event information and updated operation information to generate second control information.

According to various embodiments, in a non-transitory storage medium storing instructions, the instructions are configured to cause the at least one processor to perform at least one operation when executed by the at least one processor, wherein the at least one The operation may include: acquiring first control information usable by a plurality of users from at least one device in the cloud; The first control information includes event information and operation information of a first external electronic device related to the event information. When an event based on the event information occurs, the event is generated before or after the event occurs identifying at least one of information on at least one event associated with , or context information on at least one user associated with the event among the plurality of users; updating at least one of the event information and the operation information based on the identified information; and updating the first control information to include at least one of updated event information and updated operation information to generate second control information.

According to various embodiments, information that can be used by multiple users is stored and used in the cloud, and context information for each user is stored and used in an edge device, thereby reducing privacy concerns and efficiently using resources. You can reduce the load and maintenance cost of the cloud while using it.

According to various embodiments, control information related to at least one external electronic device based on the situation and characteristics of each user may be provided to the user in real time.

1 is a diagram illustrating an Internet of things (IoT) system according to an embodiment.
2 is a block diagram of an electronic device in a network environment according to various embodiments of the present disclosure;
3 is a block diagram of an electronic device according to various embodiments of the present disclosure;
4 is a diagram illustrating modules that may be included in a processor according to various embodiments.
5A is a diagram illustrating an example of an edge graph according to various embodiments.
5B is a diagram illustrating a link between nodes having a relationship in an edge graph according to various embodiments of the present disclosure;
6 is a diagram illustrating a correlation graph between external electronic devices according to various embodiments of the present disclosure;
7 is a flowchart illustrating a method for generating control information according to various embodiments.
8 is a flowchart illustrating a method for generating and providing control information to a user according to various embodiments of the present disclosure;

1 is a diagram illustrating an Internet of things (IoT) system 100 according to an embodiment. Meanwhile, at least some of the components of FIG. 1 may be omitted, and components not shown may be further included.

Referring to FIG. 1 , an IoT system 100 according to an embodiment includes a plurality of electronic devices connectable to a data network 116 or 146 . For example, the IoT system 100 includes a first IoT server 110 , a first node 120 , a voice assistance server 130 , a second IoT server 140 , and a second node. 150 , or at least one of devices 121 , 122 , 123 , 124 , 125 , 136 , 137 , 151 , 152 and 153 .

According to an embodiment, the first IoT server 110 may include at least one of a communication interface 111 , a processor 112 , and a storage unit 113 . The second IoT server 140 may include at least one of a communication interface 141 , a processor 142 , and a storage unit 143 . “IoT server” in this document is, for example, based on a data network (eg, data network 116 or data network 146), a relay device (eg, the first node 120 or the second node ( 150)), or directly without a relay device, one or more devices (eg, devices 121,122,123,124,125,151,152,153) may be remotely controlled and/or monitored. A “device” herein means a sensor, home appliance, office electronic device, or A device for performing a process, the type is not limited. A device that receives the control command and performs an operation corresponding to the control command may be called a “target device”. The IoT server may be referred to as a central server in that it selects a target device from among a plurality of devices and provides a control command.

According to an embodiment, the first IoT server 110 may communicate with the devices 121 , 122 , and 123 through the data network 116 . The data network 116 may refer to a network for long-distance communication, such as, for example, the Internet, or a computer network (eg, LAN or WAN), or may include a cellular network.

According to an embodiment, the first IoT server 110 may be connected to the data network 116 through the communication interface 111 . The communication interface 111 may include a communication device (or communication module) for supporting communication of the data network 116 , and may be integrated into one component (eg, a single chip), or a plurality of separate components. may be implemented with components (eg, a plurality of chips). The first IoT server 110 may communicate with the devices 121 , 122 , and 123 through the first node 120 . The first node 120 may receive data from the first IoT server 110 through the data network 116 and transmit the received data to at least some of the devices 121 , 122 , and 123 . Alternatively, the first node 120 may receive data from at least some of the devices 121 , 122 , and 123 , and transmit the received data to the first IoT server 110 through the data network 116 . The first node 120 may serve as a bridge between the data network 116 and the devices 121 , 122 , 123 . Meanwhile, in FIG. 1 , the first node 120 is illustrated as one, but this is merely exemplary, and the number is not limited.

A “node” in this document may be an edge computing system, or may be a hub device. According to an embodiment, the first node 120 may support wired and/or wireless communication of the data network 116 , and may also support wired and/or wireless communication with the devices 121 , 122 , and 123 . . For example, the first node 120 is a short-range communication network such as at least one of Bluetooth, Wi-Fi, Wi-Fi direct, Z-wave, Zig-bee, INSETEON, X10, etc.) or IrDA (infrared data association). may be connected to the devices 121, 122, 123 through Accordingly, the devices 121 , 122 , and 123 may be monitored and/or controlled by the service provided by the first IoT server 110 , and the devices 121 , 122 , 123 may It may not be required to have the capability of a complete network communication (eg, Internet communication) for direct connection to the first IoT server 110. The devices 121 , 122 , and 123 may include, for example, a light switch, proximity Although shown as implemented as an electronic device in a home environment as a sensor, a temperature sensor, etc., this is illustrative and not limited.

According to an embodiment, the first IoT server 110 may support direct communication with the devices 124 and 125 . Here, “direct communication” is, for example, communication without a relay device such as the first node 120 , and may mean communication through a cellular communication network and/or a data network.

According to an embodiment, the first IoT server 110 may transmit a control command to at least some of the devices 121 , 122 , 123 , 124 and 125 . Here, the “control command” may mean data that causes a controllable device to perform a specific operation, and the specific operation is an operation performed by the device, including output of information, sensing of information, reporting of information, It may include management (eg, deletion or creation) of information, and there is no limitation on the type. For example, the processor 112 generates a control command from an external (eg, at least some of the voice assistant server 130 , the second IoT server 140 , the external system 160 , or the devices 121 , 122 , 123 , 124 , 125 ). It is possible to obtain information (or a request) to perform the operation, and generate a control command based on the obtained information. Alternatively, the processor 112 may generate a control command based on a result of monitoring at least some of the devices 121 , 122 , 123 , 124 and 125 satisfying a specified condition. The processor 112 may control the communication interface 111 to transmit a control command to the target device.

According to an embodiment, the processor 112 , or the processor 132 , the processor 142 may include a central processing unit (CPU), a digital signal processor (DSP), an application processor (AP), a communication processor (CP), or the like. It may be implemented as a combination of one or more of a general-purpose processor, a graphic processing unit (GPU), a graphics-only processor such as a vision processing unit (VPU), or an artificial intelligence-specific processor such as a neural processing unit (NPU). Those skilled in the art will understand that the above-described processing unit is merely an example, and the processor 112 executes instructions stored in the memory 113, for example, and there is no limitation as long as it is an arithmetic means capable of outputting the executed result.

According to an embodiment, the processor 112 may configure a web-based interface based on the API 114 or expose a resource managed by the first IoT server 110 to the outside. . The web-based interface may support communication between the first IoT server 110 and an external web service, for example. The processor 112 may, for example, allow an external system 160 to control and/or access the devices 121 , 122 , and 123 . External system 160 may be, for example, an independent system that is not associated with, or is not part of, system 100 . The external system 160 may be, for example, an external server or a web site. However, security is required for access to the resources of the devices 121 , 122 , 123 , or the first IoT server 110 from the external system 160 . According to an embodiment, the processor 112 may expose the automation application to an API endpoint (eg, a universal resource locator (URL)) based on the API 114 to the outside. As described above, the first IoT server 110 may transmit a control command to a target device among the devices 121 , 122 , and 123 . On the other hand, the description of the communication interface 141 of the second IoT server 140 , the processor 142 , the API 144 of the storage unit 143 , and the database 145 , the communication of the first IoT server 110 . The description of the interface 111 , the processor 112 , the API 114 of the storage 113 , and the database 115 may be substantially the same. In addition, the description of the second node 150 may be substantially the same as the description of the first node 120 . The second IoT server 140 may transmit a control command to a target device among the devices 151 , 152 , and 153 . The first IoT server 110 and the second IoT server 140 may be operated by the same service provider in one embodiment, but may be operated by different service providers in another embodiment.

According to an embodiment, the voice assistant server 130 may transmit/receive data to and from the first IoT server 110 through the data network 116 . The voice assistant server 130 according to an embodiment may include at least one of a communication interface 131 , a processor 132 , and a storage unit 133 . The communication interface 131 may communicate with the smart phone 136 or the AI speaker 137 through a data network (not shown) and/or a cellular network (not shown). The smart phone 136 or the AI speaker 137 may include a microphone, obtain a user voice, convert it into a voice signal, and transmit the voice signal to the voice assistant server 130 . The processor 132 may receive a voice signal from the smart phone 136 or the AI speaker 137 through the communication interface 131 . The processor 132 may process the received voice signal based on the stored model 134 . The processor 132 may generate (or confirm) a control command using the processing result based on information stored in the database 135 . According to an exemplary embodiment, the storage units 113 , 133 , and 143 may include a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (eg, SD or XD memory, etc.), RAM (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) Memory), a magnetic memory, a magnetic disk, and an optical disk may include at least one type of non-transitory storage medium, and the type is not limited.

2 is a block diagram of an electronic device 201 in a network environment 200 according to various embodiments. Referring to FIG. 2 , in a network environment 200 , the electronic device 201 communicates with the electronic device 202 through a first network 298 (eg, a short-range wireless communication network) or a second network 299 . It may communicate with the electronic device 204 or the server 208 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 201 may communicate with the electronic device 204 through the server 208 . According to an embodiment, the electronic device 201 includes a processor 220 , a memory 230 , an input module 250 , a sound output module 255 , a display module 260 , an audio module 270 , and a sensor module ( 276), interface 277, connection terminal 278, haptic module 279, camera module 280, power management module 288, battery 289, communication module 290, subscriber identification module 296 , or an antenna module 297 . In some embodiments, at least one of these components (eg, the connection terminal 278 ) may be omitted or one or more other components may be added to the electronic device 201 . In some embodiments, some of these components (eg, sensor module 276 , camera module 280 , or antenna module 297 ) are integrated into one component (eg, display module 260 ). can be

The processor 220, for example, executes software (eg, a program 240) to execute at least one other component (eg, a hardware or software component) of the electronic device 201 connected to the processor 220 It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or computation, the processor 220 converts commands or data received from other components (eg, the sensor module 276 or the communication module 290 ) to the volatile memory 232 . may be stored in the volatile memory 232 , may process commands or data stored in the volatile memory 232 , and may store the result data in the non-volatile memory 234 . According to an embodiment, the processor 220 includes the main processor 221 (eg, a central processing unit or an application processor) or a secondary processor 223 (eg, a graphic processing unit, a neural network processing unit (eg, a graphic processing unit) capable of operating independently or together with the main processor 221 . a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, when the electronic device 201 includes the main processor 221 and the sub-processor 223 , the sub-processor 223 uses less power than the main processor 221 or is set to be specialized for a specified function. can The auxiliary processor 223 may be implemented separately from or as a part of the main processor 221 .

The auxiliary processor 223 may, for example, act on behalf of the main processor 221 while the main processor 221 is in an inactive (eg, sleep) state, or when the main processor 221 is active (eg, executing an application). ), together with the main processor 221 , at least one of the components of the electronic device 201 (eg, the display module 260 , the sensor module 276 , or the communication module 290 ). It is possible to control at least some of the related functions or states. According to one embodiment, the coprocessor 223 (eg, an image signal processor or a communication processor) may be implemented as part of another functionally related component (eg, the camera module 280 or the communication module 290). have. According to an embodiment, the auxiliary processor 223 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 201 itself on which artificial intelligence is performed, or may be performed through a separate server (eg, the server 208). 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 above, but is not limited to the above example. The artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.

The memory 230 may store various data used by at least one component (eg, the processor 220 or the sensor module 276 ) of the electronic device 201 . The data may include, for example, input data or output data for software (eg, the program 240 ) and instructions related thereto. The memory 230 may include a volatile memory 232 or a non-volatile memory 234 .

The program 240 may be stored as software in the memory 230 , and may include, for example, an operating system 242 , middleware 244 , or an application 246 .

The input module 250 may receive a command or data to be used by a component (eg, the processor 220 ) of the electronic device 201 from the outside (eg, a user) of the electronic device 201 . The input module 250 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 255 may output a sound signal to the outside of the electronic device 201 . The sound output module 255 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.

The display module 260 may visually provide information to the outside (eg, a user) of the electronic device 201 . The display module 260 may include, for example, a control circuit for controlling a display, a hologram device, or a projector and a corresponding device. According to an embodiment, the display module 260 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module 270 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 270 acquires a sound through the input module 250 , or an external electronic device (eg, a sound output module 255 ) connected directly or wirelessly with the electronic device 201 . The sound may be output through the electronic device 202 (eg, a speaker or headphones).

The sensor module 276 detects an operating state (eg, power or temperature) of the electronic device 201 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 276 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 277 may support one or more specified protocols that may be used for the electronic device 201 to directly or wirelessly connect with an external electronic device (eg, the electronic device 202 ). According to an embodiment, the interface 277 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 278 may include a connector through which the electronic device 201 can be physically connected to an external electronic device (eg, the electronic device 202 ). According to an embodiment, the connection terminal 278 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 279 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 279 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 280 may capture still images and moving images. According to an embodiment, the camera module 280 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 288 may manage power supplied to the electronic device 201 . According to an embodiment, the power management module 288 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery 289 may supply power to at least one component of the electronic device 201 . According to one embodiment, battery 289 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 290 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 201 and an external electronic device (eg, the electronic device 202, the electronic device 204, or the server 208). It can support establishment and communication performance through the established communication channel. The communication module 290 may include one or more communication processors that operate independently of the processor 220 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 290 is a wireless communication module 292 (eg, a cellular communication module, a short-range communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 294 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). A corresponding communication module among these communication modules is a first network 298 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 299 (eg, legacy It may communicate with the external electronic device 204 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunication network such as a computer network (eg, LAN or WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 292 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 296 within a communication network, such as the first network 298 or the second network 299 . The electronic device 201 may be identified or authenticated.

The wireless communication module 292 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR). NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)). The wireless communication module 292 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 292 uses various technologies for securing performance in a high-frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna. The wireless communication module 292 may support various requirements specified in the electronic device 201 , an external electronic device (eg, the electronic device 204 ), or a network system (eg, the second network 299 ). According to an embodiment, the wireless communication module 292 may include a peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency for realizing URLLC ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 297 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 297 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 297 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 298 or the second network 299 is connected from the plurality of antennas by, for example, the communication module 290 . can be selected. A signal or power may be transmitted or received between the communication module 290 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)) other than the radiator may be additionally formed as a part of the antenna module 297 .

According to various embodiments, the antenna module 297 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, underside) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) 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 a signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, the command or data may be transmitted or received between the electronic device 201 and the external electronic device 204 through the server 208 connected to the second network 299 . Each of the external electronic devices 202 or 204 may be the same as or different from the electronic device 201 . According to an embodiment, all or part of the operations executed by the electronic device 201 may be executed by one or more external electronic devices 202 , 204 , or 208 . For example, when the electronic device 201 is to perform a function or service automatically or in response to a request from a user or other device, the electronic device 201 may perform the function or service itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. One or more external electronic devices that have received 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 transmit a result of the execution to the electronic device 201 . The electronic device 201 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 201 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 204 may include an Internet of things (IoT) device. The server 208 may be an intelligent server using machine learning and/or neural networks. According to an embodiment, the external electronic device 204 or the server 208 may be included in the second network 299 . The electronic device 201 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The electronic device according to various embodiments disclosed in this document may have various types of devices. 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 device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

The 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 it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "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 , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can 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, logic block, component, or circuit. can be used as A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 236 or external memory 238) readable by a machine (eg, electronic device 201). may be implemented as software (eg, the program 240) including For example, the processor (eg, the processor 220 ) of the device (eg, the electronic device 201 ) may call at least one command among one or more commands stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. 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-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

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

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

3 is a block diagram 300 of an electronic device according to various embodiments.

Referring to FIG. 3 , the electronic device 301 may include a memory 310 , a communication circuit 320 , and a processor 330 .

According to various embodiments, the electronic device 301 is not limited to the configurations illustrated in FIG. 3 , and may be implemented to include more or fewer configurations. For example, the electronic device 301 may be implemented to further include the components described above with reference to FIG. 1 or FIG. 2 . The electronic device 301 according to various embodiments may be a device that provides a service using edge computing, and may include the first IoT server 110 , the voice assistant server 130 of FIG. 1 , or the second IoT server ( 140), the electronic device 201 of FIG. 2, or at least one of an electronic device to be described later.

In an embodiment, the memory 310 may store at least one of information transmitted through the communication circuit 320 or information received through the communication circuit 320 , and information generated by the processor 330 . According to an embodiment, the memory 310 includes event information for controlling each of one or more external electronic devices (eg, at least one of the devices 121,122,123,124,125,151,152,153 of FIG. 1 or the electronic device 204 of FIG. 2 ) and each At least one of control information including operation information of each of the one or more external electronic devices related to event information or identifier (ID) information of each of the one or more external electronic devices may be stored.

According to an embodiment, the memory 310 may store context information related to the generated event. In an embodiment, the context information includes location-related information of an external electronic device related to the generated event, user information related to the generated event, environment information related to the generated event, or an event generated before or after the generated event. It may include at least one of information on other external electronic devices operated in association with the .

In one embodiment, memory 310 may include volatile memory or non-volatile memory, one of storage 113 , 133 , or 143 of FIG. 1 , or of FIG. 2 . It may be included in at least one of the memories 230 .

According to an embodiment, the communication circuit 320 includes event information for controlling each of one or more external electronic devices from at least one device in the cloud and operation information of each of the one or more external electronic devices related to each event information. control information can be received.

According to an embodiment, the communication circuit 320 may transmit the control information updated by the processor 330 to the user terminal. The user terminal may be, for example, one of a smart phone, a tablet terminal, or a wearable device connected to an electronic device to control each external electronic device. The at least one external electronic device may be, for example, a home appliance (eg TV, air conditioner, refrigerator, etc.), an energy consuming device (eg water, electricity, air conditioning, etc.), or a security device (eg door lock, surveillance camera, etc.) may be at least one of

In one embodiment, the communication circuit 320 may be included in at least one of the communication interface 111 , the communication interface 131 , or the communication interface 141 of FIG. 1 , or the communication module 290 of FIG. 2 . have.

In one embodiment, processor 330 may include one or more processors.

In one embodiment, the processor 330 may be included in at least one of the processor 112 , the processor 132 , or the processor 142 of FIG. 1 , or the processor 220 of FIG. 2 .

In an embodiment, the processor 330 may control the memory 310 and the communication circuit 320 , and may perform operations performed in an electronic device according to various embodiments to be described later.

In an embodiment, the electronic device 301 may include modules as shown in FIG. 4 . Terms such as '~module' used below mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

4 is a diagram 400 illustrating an electronic device for generating control information according to various embodiments of the present disclosure. The electronic device 401 is connected to the electronic device (eg, the first IoT server 110 , the electronic device 201 , the electronic device 301 ), the processor 330 , or a combination thereof shown in FIGS. 1 to 3 . may be implemented by or include.

Referring to FIG. 4 , the electronic device 401 includes a control information filter module 410 , a control information update module 420 , an edge graph generation module 430 , an event data collection module 441 , and an analysis and inference module 443 . ), and an updated control information providing module 450 .

In FIG. 4 , a control information filter module 410 , a control information update module 420 , an edge graph generation module 430 , an event data collection module 441 , an analysis and inference module 443 , and an updated control information providing module Although 450 is illustrated as independent modules, it may not be limited thereto. For example, the control information filter module 410 , the control information update module 420 , the edge graph generation module 430 , the event data collection module 441 , the analysis and inference module 443 , and the updated control information provide At least one of the modules 450 may be integrated as one module.

In an embodiment, the control information filter module 410 may receive the cloud data-based control information 405 usable by a plurality of users from at least one device in the cloud through the communication circuit 320 . The control information filter module 410 may filter control information on at least one external electronic device connected to the electronic device from the received cloud data-based control information 405 .

In another embodiment, the control information filter module 410 may control the communication circuit 320 to request control information on at least one external electronic device connected to the electronic device from at least one device in the cloud. The control information filter module 410 may receive control information on at least one external electronic device from at least one device in the cloud through the communication circuit 320 in response to the request.

In an embodiment, the control information received from at least one device in the cloud may include event information analyzed based on information stored in the cloud and operation information of at least one external electronic device related to the event information.

In an embodiment, the information stored in the cloud may include information related to at least one external electronic device. For example, the information related to at least one external electronic device includes ID information of at least one external electronic device, type information of at least one external electronic device, operation mode information of at least one external electronic device, and at least one external electronic device. It may include at least one of information about the time when the device was operated and location information of at least one external electronic device.

According to an embodiment, whenever the at least one external electronic device operates, information related to the at least one external electronic device may be stored in the cloud. At least one device analyzes an operation pattern of at least one external electronic device or an event that occurs or occurs in connection with an operation of at least one external electronic device based on information stored in the cloud to generate cloud data-based control information 405 can create

According to an embodiment, the control information 415 filtered by the control information filter module 410 may be updated in the control information update module 420 . In an embodiment, the filtered control information 415 may be as shown in Table 1 below.

In an embodiment, the control information update module 420 may use the edge graph 425 generated by the edge graph generation module 430 to update the filtered control information 415 .

In an embodiment, the edge graph generating module 430 may include one of metadata 431 , event information 433 , user information 435 , association information 437 , and high-level context information 439 . At least one may be stored, and the edge graph 425 may be generated based on the stored at least one piece of information.

According to an embodiment, the metadata 431 includes information about at least one external electronic device connected to the electronic device, IoT environment information related to at least one external electronic device (eg, a room in the case of a home IoT system); information on living room, kitchen, etc.) or information on a member who can use at least one external electronic device.

According to an embodiment, the event information 433 may include information related to at least one of an event occurring at an operation time point when at least one external electronic device is operated, an event occurring before the operation time point, or an event occurring after the operation time point. can

According to an embodiment, the user information 435 may include at least one of information about a user who operated at least one external electronic device, user information that generates an event, or user information that exists in the IoT system when an event occurs. have.

In an embodiment, the event information 433 and the user information 435 may be information collected by the event data collection module 441 . The event data collection module 441 may collect event information 433 and user information 435 whenever an event occurs or in real time and provide the collected event information 433 and user information 435 to the edge graph generation module 430 .

According to an embodiment, the association information 437 may be generated by the analysis and inference module 443 . For example, the association information 437 may be analyzed or inferred based on at least one of the metadata 431 , the event information 433 , the user information 435 , or the high-level context information 439 , the generated event and information on a correlation between the operation of the at least one external electronic device.

The association information 437 includes at least one external electronic device analyzed or inferred based on at least one of metadata 431 , event information 433 , user information 435 , and high-level context information 439 . At least one of information about a relationship between users, a relationship between a user and a user, or a relationship between a plurality of external electronic devices when the number of at least one external electronic device is plural may be included.

The association information 437 may include information on a usage pattern of at least one external electronic device (eg, information on a main use time or use period).

According to an embodiment, the high-level context information 439 is an IoT environment analyzed or inferred based on at least one of metadata 431 , event information 433 , user information 435 , or association information 437 . It may include characteristic information for . High level context information 439 may be generated by analysis and inference module 443 .

For example, after the user operates the cooktop, the analysis and inference module 443 may be configured to operate the cooktop based on at least one of the metadata 431 , the event information 433 , the user information 435 , and the association information 437 . When it is identified that the air purifier has been operated in , information indicating “the user is cooking in the kitchen” may be generated as the high-level context information 439 .

As another example, the analysis and inference module 443 performs the operation of the washing machine at a specific location based on at least one of the metadata 431 , the event information 433 , the user information 435 , and the association information 437 . After it is analyzed that the operation of the dryer is started, information indicating “a specific location is a place where washing and drying are performed” may be generated as the high-level context information 439 .

As another example, the analysis and inference module 443 may configure a channel selected at a specific time on the TV based on at least one of metadata 431 , event information 433 , user information 435 , and association information 437 . If it is a channel related to an infant program, a cartoon, or an educational broadcast, information indicating "there are children in a specific time period" may be generated as the high-level context information 439 .

In an embodiment, the edge graph generating module 430 based on at least one of metadata 431 , event information 433 , user information 435 , association information 437 , and high-level context information 439 . may generate an edge graph 425 , and provide the generated edge graph 425 to the control information update module 420 .

In an embodiment, the control information update module 420 may generate the updated control information 445 by updating the filtered control information 415 based on the edge graph 425 . In an embodiment, when the filtered control information 415 is as shown in Table 1, the updated control information 445 may include updated event information and operation information as shown in Table 2 below.

The updated control information 445 may be provided to the control information providing module 450 , and the control information providing module 450 may control the communication circuit 320 to transmit the updated control information 445 to the user terminal. can The updated control information 445 may or may not be used according to a user's selection in the user terminal.

According to various embodiments, an electronic device may include a memory; communication circuit; at least one processor operatively coupled with the memory and the communication circuitry, wherein the memory, when executed, causes the at least one processor to: obtains first control information usable by users, the first control information includes event information and operation information of a first external electronic device related to the event information, and when an event based on the event information occurs, Identifies at least one of information about at least one event related to the event that occurred before or after the time when the event occurred, or context information about at least one user related to the event among the plurality of users, Updates at least one of the event information or the operation information based on the identified information, and updates the first control information to include at least one of the updated event information or the updated operation information to generate second control information instructions can be stored.

According to various embodiments, the context information may include information about the at least one user, location-related information of the first external electronic device at a time when the event occurs, environment information related to the event, or information related to the event. It may include at least one of information on at least one second external electronic device.

According to various embodiments, the location-related information of the first external electronic device includes: the number of external electronic devices included in the location where the first external electronic device is located, status information of each of the external electronic devices included in the location; It may include at least one of temperature information of the place, humidity information of the place, air quality information of the place, smell information of the place, and noise information of the place.

According to various embodiments, the information on the at least one user is identified based on at least one mobile terminal, and information on whether the at least one mobile terminal exists at the time when the event occurs, or the at least When there is one mobile terminal, it may include at least one of time information from a point in time when the at least one mobile terminal accesses a network to receive a service from the electronic device to a point in time when the event occurs.

According to various embodiments, the environment information related to the event may include time information at which the event occurred, information on the number of users in the location where the event occurred, information on usage characteristics of the location where the event occurred, and weather at the time the event occurred. It may include at least one of information or air quality information at the time the event occurred.

According to various embodiments, the at least one second external electronic device selects at least one external electronic device having a high correlation with the first external electronic device among a plurality of external electronic devices connected to the electronic device by a threshold value or more. of the plurality of external electronic devices, the correlation between the i-th external electronic device and the first external electronic device is determined by determining whether the i-th external electronic device is located in the same location as the first external electronic device, and for a set time period. The cumulative average value of the time the i-th external electronic device is executed simultaneously with the first external electronic device, information on the distance in time between the time when the event occurs and the time when the event related to the i-th external electronic device occurs, and the first external electronic device When the electronic device operates, a ratio of the number of times the i-th external electronic device operates to the number of times each of the plurality of external electronic devices operates, or when the i-th external electronic device operates, the plurality of external electronic devices It may be determined based on at least one of a ratio of the number of times the first external electronic device has operated to the total number of times each operation is performed.

Hereinafter, the edge graph will be described in detail with reference to FIGS. 5A and 5B .

5A is a diagram 500 illustrating an example of an edge graph according to various embodiments.

The edge graph may be generated based on various types of nodes. Various types of nodes may include, for example, at least one of nodes of “location”, “room”, “user”, or “external electronic device” in the case of a home IoT system, and the following table for each node type It can have attribute values as shown in Fig. 3.

Referring to FIG. 5A , a location node 510 is a node including information on a location including at least one of a room, a user, and an external electronic device, and may be a node representing a house in the home IoT system.

In the edge graph shown in FIG. 5A , the location node 510 includes ID information 9319e8effc63 of the location node 510, type information of the location node 510 (type: Location), and name information of the location node 510 (name). : house), and state information of the location node 510 (status: {'total': 2, 'present': 2, 'not present': 0, 'm_state': 'everyone'}). . "status: {'total': 2, 'present': 2, 'not present': 0, 'm_state': 'everyone'}", which is the state information of the location node 510, means "a total of two members in the house exists, there are two members, there is no non-existent member, and all members exist”.

Although not shown in FIG. 5A , according to an embodiment, the location node 510 may further include at least one of date information, time information, and weather information. In this case, the status information of the location node 510 may include status information corresponding to at least one of a specific date, a specific time, or specific weather.

In one embodiment, location node 510 may be coupled to at least one of one or more room nodes, one or more user nodes, or one or more external electronic device nodes. For example, the location node 510 may be connected to a first room node 522 , a second room node 524 , a third room node 526 , and a fourth room node 528 . Location node 510 can be connected with first room node 522 , second room node 524 , third room node 526 , and fourth room node 528 by location node 510 . This may mean that the indicated house includes four rooms indicated by the first room node 522 , the second room node 524 , the third room node 526 , and the fourth room node 528 . .

The first room node 522 includes ID information (068db0133ea3) of the first room node 522, type information (type: Room) of the first room node 522, and name information (name) of the first room node 522 : dressing room), and status information (status: {'total': 1, 'on': 1, 'off': 0}) of the first room node 522 . “status: {'total': 1, 'on': 1, 'off': 0}”, which is the status information of the first room node 522 , indicates that “there are a total of one external electronic device in the dressing room and one The external electronic device is in a power-on state, and there is no external electronic device that is powered off”.

The second room node 524 includes ID information (8b60b7d51) of the second room node 524, type information (type: Room) of the second room node 524, and name information (name) of the second room node 524 : laundry room), and status information (status: {'total': 1, 'on': 1, 'off': 1}) of the second room node 524 . “status: {'total': 1, 'on': 1, 'off': 1}”, which is the status information of the second room node 524, indicates that “there are a total of two external electronic devices in the laundry room and one external The electronic device is in a power-on state, and the other external electronic device is in a power-off state”.

The third room node 526 includes ID information (d9f2dae7b090) of the third room node 526, type information (type: Room) of the third room node 526, and name information (name) of the third room node 526 : bedroom), and status information (status: {'total': 1, 'on': 0, 'off': 1}) of the third room node 526 . “status: {'total': 1, 'on': 0, 'off': 1}”, which is the status information of the third room node 526, indicates that “there are a total of one external electronic device in the bedroom, and the There is no external electronic device, and one external electronic device is in a power off state”.

The fourth room node 528 includes ID information (de1d856eaa72) of the fourth room node 528, type information (type: Room) of the fourth room node 528, and name information (name) of the fourth room node 528 : living room), and status information (status: {'total': 4, 'on': 3, 'off': 1}) of the fourth room node 528 . “status: {'total': 4, 'on': 3, 'off': 1}”, which is the status information of the fourth room node 528, indicates that “there are a total of four external electronic devices in the living room, and three external electronic devices are present in the living room. The electronic device is in a power-on state, and one external electronic device is in a power-off state”.

Although not shown in FIG. 5A , according to an embodiment, each of the first room node 522 , the second room node 524 , the third room node 526 , and the fourth room node 528 is a corresponding room. may further include environmental information (eg, at least one of temperature information, humidity information, air quality information, odor information, and noise information measured by a sensor).

According to one embodiment, location node 510 , or first room node 522 , second room node 524 , third room node 526 , and fourth room node 528 each has a high level context It may further include information (eg, information analyzed or inferred whether the corresponding location or room is a place for cooking, washing, or sleeping). In addition, each of the location node 510 , or the first room node 522 , the second room node 524 , the third room node 526 , and the fourth room node 528 includes usage characteristic information (eg, corresponding It may further include information that is analyzed or inferred whether the location or room is a place where meals are frequently made, a place where laundry is frequently performed, or a place mainly used by children).

According to an embodiment, each of the first room node 522 , the second room node 524 , the third room node 526 , and the fourth room node 528 may be connected to at least one external electronic device node. have. The first room node 522 , the second room node 524 , the third room node 526 , and the fourth room node 528 may each be connected to at least one external electronic device node is the first room node. 522 , may indicate that at least one external electronic device may be included in each of the four rooms indicated by the second room node 524 , the third room node 526 , and the fourth room node 528 . have.

The first room node 522 may be connected to the first external electronic device node 532 . The first external electronic device node 532 includes ID information 848882612 of the first external electronic device node 532 , type information (type: steamcloset) of the first external electronic device node 532 , and the first external electronic device It may include status information (status: on (power on)) of the node 532 .

The second room node 524 may be connected to the second external electronic device node 534 and the third external electronic device node 536 . The second external electronic device node 534 includes ID information 999795058 of the second external electronic device node 534, type information (type: dryer) of the second external electronic device node 534, and a second external electronic device. It may include status information (status: on (power on)) of the node 534 .

The third external electronic device node 536 includes ID information 1791928441 of the third external electronic device node 536, type information (type: washer) of the third external electronic device node 536, and the third external electronic device It may include status information (status: off (power off)) of the node 536 .

The third room node 526 may be connected to the fourth external electronic device node 538 . The fourth external electronic device node 538 includes ID information 397448516 of the fourth external electronic device node 538, type information (type: airconditioner) of the fourth external electronic device node 538, and the fourth external electronic device It may include status information (status: off (power off)) of the node 538 .

The fourth room node 528 may be connected to a fifth external electronic device node 542 , a sixth external electronic device node 544 , a seventh external electronic device node 546 , and an eighth external electronic device node 548 . have.

The fifth external electronic device node 542 includes ID information 804745802 of the fifth external electronic device node 542 , type information (type: networkaudio) of the fifth external electronic device node 542 , and a fifth external electronic device It may include status information (status: on (power on)) of the node 542 .

The sixth external electronic device node 544 includes ID information 2564883440 of the sixth external electronic device node 544, type information (type: tv) of the sixth external electronic device node 544, and the sixth external electronic device It may include status information (status: on (power on)) of the node 544 .

The seventh external electronic device node 546 includes ID information 4270813037 of the seventh external electronic device node 546, type information (type: robotcleaner) of the seventh external electronic device node 546, and the seventh external electronic device It may include status information (status: stop (stop operation)) of the node 546 .

The eighth external electronic device node 548 includes ID information 926139825 of the eighth external electronic device node 548, type information (type: airconditioner) of the eighth external electronic device node 548, and the eighth external electronic device. It may include status information (status: on (power on)) of the node 548 .

Although not shown in FIG. 5A , according to an exemplary embodiment, the first external electronic device node 532 to the eighth external electronic device node 548 each have event information (eg, the most recent event information or the most frequently occurring event). at least one of information), event occurrence time information, and usage statistics information (eg, at least one of main usage time information, usage cycle information, and usage pattern information).

In one embodiment, the location node 510 may be connected to at least one user node. For example, location node 510 may be coupled to first user node 552 and second user node 554 . The fact that a location node 510 can be coupled with a first user node 552 and a second user node 554 means that a first user node 552 and a second user node 552 in the house indicated by the location node 510 ( 554) may mean that the first user and the second user indicated by each exist.

The first user node 552 includes ID information 4239056017 of the first user node 552, type information (type: mobilepresence) of the first user node 552, and state information of the first user node 552 ( status: present).

The second user node 554 includes ID information 2519291677 of the second user node 554, type information (type: mobilepresence) of the second user node 554, and state information of the second user node 554 ( status: present).

As shown in FIG. 5A , when attribute information for each node is determined, the attribute information for each node may be classified according to context when an event occurs. For example, when an event occurs, the attribute information for each node at the time the event occurs is at least one of “home context”, “room context”, “user context”, or “device context” as shown in Table 4 It may be classified, and each classified context may be stored as a context associated with the event.

According to an embodiment, related nodes may be identified based on the context associated with the event, and links between the identified nodes may be displayed on the edge graph.

5B is a diagram 560 illustrating a link between nodes having a relationship in an edge graph according to various embodiments.

According to various embodiments, as shown in Table 5, the links between nodes having an association relationship include a link between external electronic device nodes (link type A), a link between a user node and an external electronic device (link type B), It can be divided into three types of links between user nodes (link type C).

Referring to FIG. 5B , in an embodiment, the second external electronic device node 534 and the third external electronic device node 536 may have a link 572 of link type A. Referring to FIG. The link 572 may indicate that there is a correlation between the operation of the second external electronic device node 534 (eg, a dryer) and the operation of the third external electronic device node 536 (eg, a washing machine).

In an embodiment, the fifth external electronic device node 542 and the sixth external electronic device node 544 may have a link 574 of link type A. The link 574 may indicate that there is a correlation between the operation of the fifth external electronic device node 542 (eg, network audio) and the operation of the sixth external electronic device node 544 (eg, TV).

In an embodiment, the first user node 552 and the first external electronic device node 532 may have a link 582 of type B link. The link 582 may indicate that the user indicated by the first user node 552 has setting information for the first external electronic device node 532 (eg, setting course information of the clothing manager).

In one embodiment, the second user node 554 and the fifth external electronic device node 542 may have a link 584 of type B link. The link 584 may indicate that the user indicated by the second user node 554 has setting information for the fifth external electronic device node 542 (eg, volume setting information of network audio).

In one embodiment, the second user node 554 and the eighth external electronic device node 548 may have a link 586 of type B link. The link 586 may indicate that the user indicated by the second user node 554 has setting information for the eighth external electronic device node 548 (eg, temperature setting information of the air conditioner).

In one embodiment, the first user node 552 and the second user node 554 may have a link 590 of type C link. Link 590 indicates that the user indicated by first user node 552 and the user indicated by second user node 554 have a specific relationship (eg, a couple, friend, or parent-child relationship). can indicate The link 590 may be generated based on profile information of the mobile terminal user corresponding to the first user node 552 and profile information of the mobile terminal user corresponding to the second user node 554 .

According to an embodiment, the link type A may be generated based on the result of calculating the association between the external electronic device nodes using Equation 1 below.

In Equation 1, E _ij may represent the weight of the edge between the node i and the node j, L _ij may represent the positional similarity between the node i and the node j, T _ij is the node i and Represents the time similarity between node j, G _ij may represent the cumulative time average of the time that node i and node j were executed simultaneously for a set time (eg, during the last two weeks), and C _ij is the time between node i and node j It can indicate the ratio used in association.

In an embodiment, the location similarity L _ij may be determined as one of three values as shown in Table 6 below.

Referring to Table 6, L _ij may be set to 1 when node i and node j are in the same location (or room), and can be set to 0.5 when there is no location information of at least one of node i or node j. and may be set to 0 if node i and node j are in different locations (or rooms).

In an embodiment, the temporal similarity T _ij may be determined using Equation 2 below.

In Equation 2, T _i denotes an event occurrence time (eg, time in minutes) for node i, T _j denotes event occurrence time (eg, time in minutes) for node j, Lo││ may represent an operator that outputs an integer value excluding values after the decimal point.

In an embodiment, C _ij representing a ratio in which node i and node j are associated and used may be determined based on control information received from at least one device in the cloud. The control information received from at least one device in the cloud may include, for example, event information related to each external electronic device and operation information of each external electronic device related to the event information.

Table 7 below is a table exemplifying the number of times an operation of one external electronic device is performed as a condition of operation of one external electronic device based on control information received from the cloud. In an embodiment, the operation of one external electronic device that can be used as a condition may be detected based on event information included in the received control information, and the operation of the other external electronic device is included in the received control information. It can be detected based on the detected motion information.

Referring to Table 7, external electronic devices that can be used in the home IoT system (eg, air conditioner, air purifier, TV, network audio, robot cleaner, cooktop, refrigerator, washing machine, dryer, air dresser (clothing manager), mobile presence (Existence of mobile terminal))), a relationship between external electronic devices may be determined based on the number of occurrences of a condition/operation relationship.

For example, the external electronic device operating under the condition of the air conditioner operation may be identified based on the number of times the external electronic devices other than the air conditioner have operated. The number of times that the other external electronic devices have been operated may indicate the number of times that the air conditioner has been operated before a preset time. However, in the case of a mobile terminal, the number of existing mobile terminals (the number of existing users) may be indicated, not the number of operations.

External electronic devices that operated before the air conditioner operated include an air purifier (operates 9 times), TV (operates twice), cooktop (operations once), refrigerator (operates twice), and air dresser (operations 3 times). , the number of mobile terminals present when the air conditioner operates may be two. In this case, the sum of the number of operations of each of the air purifier, TV, cooktop, refrigerator, and air dresser and the number of mobile terminals may be 19, and in consideration of this, the number or ratio of the number of operations of each external electronic device It can be calculated as

Air Purifier = 9/19

TV = 2/19

Cooktop = 1/19

Refrigerator = 2/19

Air Dresser = 3/19

mobile terminal = 2/19

As a result of the above calculation, since the air purifier has the highest ratio, the external electronic device operating under the condition of the operation of the air conditioner can be identified as the air purifier, and when the air purifier operates, information that the air conditioner is highly likely to operate can be inferred. can

Unlike the above, it may be identified whether the operation of the air conditioner may be a condition for the operation of any external electronic device. An external electronic device that operates in association with the operation of the air conditioner may be identified based on the number of times that external electronic devices other than the air conditioner have operated. The number of times that the other external electronic devices have been operated may indicate the number of times that the air conditioner has been operated for a time after a set time from the time when the air conditioner is operated.

External electronic devices operated after the air conditioner operates may be an air purifier (operation 4 times) and network audio (operation 1 time). In this case, the sum of the number of operations of the air purifier and the network audio may be 5, and in consideration of this, the ratio of the number of operations of each external electronic device may be calculated as follows.

Air purifier = 4/5

Network Audio = 1/5

As a result of the above calculation, since the air purifier has the highest ratio, the operation of the air conditioner may be identified as a condition in which the air purifier operates, and information indicating that the air purifier is likely to operate may be inferred when the air purifier operates.

As an example, the condition/operation relationship between the external electronic devices deduced in the above manner may be as shown in Table 8 below.

6 is a diagram 600 illustrating a correlation graph between external electronic devices according to various embodiments of the present disclosure.

As shown in Table 7, the number of conditions/operations between external electronic devices may be expressed as a correlation graph as shown in FIG. 6 .

Referring to FIG. 6 , in an embodiment, when the washing machine 602 is operated, the number of times the dryer 604 is operated may be 5 times.

In an embodiment, when the refrigerator 606 operates, the number of times the air conditioner 610 operates may be two, and when the refrigerator 606 operates, the number of times the TV 616 operates may be two.

In an embodiment, when the air dresser 608 operates, the number of times the air conditioner 610 operates may be three times.

In one embodiment, when the air conditioner 610 operates, the number of times the air purifier 612 operates may be 4 times, and when the air purifier 612 operates, the number of times the air conditioner 610 operates may be 9 times. .

In an embodiment, when the air conditioner 610 is operated, the number of times the TV 616 is operated may be four times, and when the TV 616 is operated, the number of times the air conditioner 610 has been operated may be two times.

In one embodiment, when the air purifier 612 operates, the number of times the robot cleaner 614 operates may be one, and when the robot cleaner 614 operates, the number of times the air cleaner 612 operates is one can

In one embodiment, when the air purifier 612 is operated, the number of times the TV 616 operates may be 9 times, and when the TV 616 operates, the number of times the air purifier 612 operates may be 2 times. .

In an embodiment, when the TV 616 is operated, the number of times that the network audio 618 is operated may be 12 times, and the number of times that the TV 616 that the network audio 618 is operated is operated may be 12 times.

In an embodiment, when the TV 616 is operated, the number of times the cooktop 620 is operated may be one.

In an embodiment, when the cooktop 620 is operated, the number of times the air conditioner 610 is operated may be one.

In an embodiment, when the mobile terminal is present (622), the number of times the air conditioner 610 operates may be two times, and when the mobile terminal is present (622), the air purifier 612 operates four times. In addition, when the mobile terminal is present (622), the TV 616 is operated twice, and when the mobile terminal is present (622), the network audio 618 is operated once.

If the correlation graph as shown in FIG. 6 is used, external electronic devices having a high correlation may be identified more quickly. For example, it may be identified that the washing machine 602 and the dryer 604 are related to each other, and the air dresser 608 is related only to the air conditioner 610 . In addition, it may be identified that the external electronic device having the highest correlation with other external electronic devices is the TV 616 , and the external electronic device having the lowest correlation with other external electronic devices is the air dresser 608 .

Hereinafter, a method for generating control information according to various embodiments will be described. The operations shown in FIGS. 7 and 8 according to various embodiments are performed by an electronic device (eg, one of the first IoT server 110 of FIG. 1 , the voice assistant server 130 , or the second IoT server 140 , The electronic device 201 of FIG. 2 , the electronic device 301 of FIG. 3 , or the electronic device 401 of FIG. 4 ), at least one processor (eg, the processor 112 , the processor 132 of FIG. 1 ), or at least one of the processors 142 , the processor 220 of FIG. 2 , or the processor 330 of FIG. 3 ), or a combination thereof. Hereinafter, an example in which the operations shown in FIGS. 7 and 8 are performed by an electronic device will be described.

7 is a flowchart 700 illustrating a method for generating control information according to various embodiments.

According to various embodiments, the operations illustrated in FIG. 7 are not limited to the illustrated order and may be performed in various orders. According to various embodiments, more operations than those illustrated in FIG. 7 or at least one fewer operations may be performed.

Referring to FIG. 7 , in operation 710 , the electronic device may obtain first control information usable by a plurality of users from at least one device in the cloud. In an embodiment, the first control information may include event information and operation information of the first external electronic device related to the event information.

In operation 720, when an event based on the event information is generated, the electronic device generates information on at least one event related to the event, which occurred before or after the time when the event occurred, or at least one event related event among a plurality of users. at least one of context information for a user of .

In operation 730, the electronic device may update at least one of event information and operation information based on the identified information.

In operation 740, the electronic device may generate second control information by updating the first control information to include at least one of the updated event information and the updated operation information.

Hereinafter, with reference to FIG. 8 , a method for generating control information according to various embodiments will be described with specific examples.

8 is a flowchart 800 illustrating a method for generating and providing control information to a user according to various embodiments of the present disclosure.

According to various embodiments, the operations illustrated in FIG. 8 are not limited to the illustrated order and may be performed in various orders. According to various embodiments, more operations than those illustrated in FIG. 8 or at least one fewer operations may be performed.

Referring to FIG. 8 , in operation 802 , the electronic device may receive control information from at least one device in the cloud. In an embodiment, the received control information includes operation information of at least one external electronic device and event information related to the operation of at least one external electronic device, which is generated based on information on at least one external electronic device stored in the cloud. It may be cloud data-based control information including

In operation 804 , the electronic device may filter control information received from at least one device in the cloud. In an embodiment, the filtered control information may be as shown in Table 9 below when the electronic device and the TV are connected.

Referring to Table 9, event information may include “2564883440, tv_switch_on” as information indicating “TV switch on”, and operation information may include “804745802, networkaudio_switch_on” as information indicating “network audio switch on”. can “2564883440” may be ID information of the TV, and “tv_switch_on” may be information indicating an operation in which the TV is switched on. “804745802” may be ID information of network audio, and “networkaudio_switch_on” may be information indicating an operation in which network audio is switched on. Based on the control information as shown in Table 9, information that "the network audio switch is turned on when the TV switch is turned on" can be identified.

In operation 806, the electronic device may determine whether a first event based on the filtered control information has occurred. In an embodiment, the electronic device may determine that a “TV switch on” event has occurred as the first event. The electronic device may perform operation 808 when the first event occurs, and repeat operation 806 when the first event does not occur.

In operation 808, the electronic device may identify context information related to the first event that has occurred. In an embodiment, the electronic device may identify "A.M.8:00, LivingRoom, All, 4239056017_present, 21min, Morning, Light_on" as context information related to the first event generated based on the edge graph. "A.M.8:00, LivingRoom, All, 4239056017_present, 21min, Morning, Light_on" means "All members are present in the living room at 8:00 am, and the mobile terminal with ID 4239056017 is lit in the morning after 21 minutes have elapsed. is turned on".

In operation 810, the electronic device may identify at least one second event that is generated before or after the point in time at which the first event occurs. In one embodiment, the at least one second event is "4239056017_present" indicating that the mobile terminal with ID of 4239056017 exists and "926139825, airconditioner_switch_on, weekday" indicating that the switch of the air conditioner with ID of 926139825 is turned on on the weekend. may include.

In operation 812 , the electronic device may analyze a correlation between the identified context information, the first event, and at least one second event. In an embodiment, a result of analyzing the correlation between the identified context information, the first event, and the at least one second event may be as shown in Table 10 below.

In operation 814 , the electronic device may update control information based on the analyzed correlation. In an embodiment, the electronic device may calculate an occurrence probability for each association relationship as shown in Table 10, and may update control information using the association relationship detected based on the calculated occurrence probability.

For example, the electronic device has the highest probability of occurrence among association relationships related to TV switch on (('weekend', "'2519291677_present'") ==>("'2564883440_tv_switch_on'",): User 2 on the weekend If ==> TV switch on ), the control information as shown in Table 9 may be updated. The updated control information may be as shown in Table 11 as an example.

In operation 816, the electronic device may recommend updated control information to the user. According to an embodiment, the electronic device may transmit information inquiring whether to use the updated control information to the user terminal.

When the user accepts to use the updated control information in operation 818, the electronic device may control at least one external electronic device based on event information and operation information included in the updated control information in operation 820.

According to various embodiments, a method of generating control information for an external electronic device in an electronic device includes: acquiring first control information usable by a plurality of users from at least one device in a cloud; The first control information includes event information and operation information of a first external electronic device related to the event information. When an event based on the event information occurs, the event is generated before or after the event occurs identifying at least one of information on at least one event associated with , or context information on at least one user associated with the event among the plurality of users; updating at least one of the event information and the operation information based on the identified information; and updating the first control information to include at least one of updated event information and updated operation information to generate second control information.

According to various embodiments, the context information may include information about the at least one user, location-related information of the first external electronic device at a time when the event occurs, environment information related to the event, or information related to the event. It may include at least one of information on at least one second external electronic device.

According to various embodiments, the location-related information of the first external electronic device includes: the number of external electronic devices included in the location where the first external electronic device is located, status information of each of the external electronic devices included in the location; It may include at least one of temperature information of the place, humidity information of the place, air quality information of the place, smell information of the place, and noise information of the place.

According to various embodiments, the information on the at least one user is identified based on at least one mobile terminal, and information on whether the at least one mobile terminal exists at the time when the event occurs, or the at least When there is one mobile terminal, it may include at least one of time information from a point in time when the at least one mobile terminal accesses a network to receive a service from the electronic device to a point in time when the event occurs.

According to various embodiments, the environment information related to the event may include time information at which the event occurred, information on the number of users in the location where the event occurred, information on usage characteristics of the location where the event occurred, and weather at the time the event occurred. It may include at least one of information or air quality information at the time the event occurred.

According to various embodiments, the at least one second external electronic device selects at least one external electronic device having a high correlation with the first external electronic device among a plurality of external electronic devices connected to the electronic device by a threshold value or more. of the plurality of external electronic devices, the correlation between the i-th external electronic device and the first external electronic device is determined by determining whether the i-th external electronic device is located in the same location as the first external electronic device, and for a set time period. The cumulative average value of the time the i-th external electronic device is executed simultaneously with the first external electronic device, information on the distance in time between the time when the event occurs and the time when the event related to the i-th external electronic device occurs, and the first external electronic device When the electronic device operates, a ratio of the number of times the i-th external electronic device operates to the number of times each of the plurality of external electronic devices operates, or when the i-th external electronic device operates, the plurality of external electronic devices It may be determined based on at least one of a ratio of the number of times the first external electronic device has operated to the total number of times each operation is performed.

The electronic device according to various embodiments disclosed in this document may have various types of devices. 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 device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

The 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 it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "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 , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can 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, logic block, component, or circuit. can be used as A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include 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). may be implemented as software (eg, the program 140) including For example, the processor (eg, the processor 120 ) of the device (eg, the electronic device 101 ) may call at least one of the one or more instructions stored from the storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. 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-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is different from the case where data is semi-permanently stored in the storage medium. It does not distinguish between temporary storage cases.

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

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

Claims (20)

In an electronic device,
Memory;
communication circuit;
at least one processor operatively coupled with the memory and the communication circuitry;
The memory, when executed, causes the at least one processor to:
Acquire first control information usable by a plurality of users from at least one device in the cloud through the communication circuit, wherein the first control information includes event information and an operation of a first external electronic device related to the event information contains information;
When an event based on the event information is generated, information on at least one event related to the event that occurs before or after the time when the event occurs, or at least one user related to the event among the plurality of users Identifies at least one of the context information for
update at least one of the event information or the operation information based on the identified information,
An electronic device for storing instructions for generating second control information by updating the first control information to include at least one of updated event information and updated operation information.
According to claim 1,
The context information may include information about the at least one user, location-related information of the first external electronic device at the time when the event occurs, environment information related to the event, or at least one second external electronic device related to the event. An electronic device including at least one of information about the device.
3. The method of claim 2,
The location-related information of the first external electronic device includes the number of external electronic devices included in the location where the first external electronic device is located, status information of each of the external electronic devices included in the location, temperature information of the location, and the An electronic device comprising at least one of humidity information of a place, air quality information of the place, smell information of the place, and noise information of the place.
3. The method of claim 2,
The information on the at least one user is identified based on at least one mobile terminal, and information on whether the at least one mobile terminal exists at the time the event occurs, or information on whether the at least one mobile terminal exists case, the electronic device including at least one of time information from a point in time when the at least one mobile terminal accesses a network to receive a service from the electronic device to a point in time when the event occurs.
3. The method of claim 2,
The environment information associated with the event may include time information at which the event occurred, information on the number of users in the location where the event occurred, usage characteristic information of the location where the event occurred, weather information at the time the event occurred, or information on the number of users in the location where the event occurred. An electronic device including at least one of air quality information at the time.
3. The method of claim 2,
the at least one second external electronic device represents at least one external electronic device having a high correlation with the first external electronic device among a plurality of external electronic devices connected to the electronic device by a threshold value or higher;
The correlation between the i-th external electronic device and the first external electronic device among the plurality of external electronic devices is determined by determining whether the i-th external electronic device is located in the same place as the first external electronic device, and the i-th external electronic device for a set time. The cumulative average value of the time that the ith external electronic device is executed simultaneously with the first external electronic device, the distance information between the time when the event occurs and the time when the event related to the i-th external electronic device occurs, and the first external electronic device is a ratio of the number of times the i-th external electronic device operates to the number of times each of the plurality of external electronic devices operates, or when the i-th external electronic device operates, each of the plurality of external electronic devices operates An electronic device determined based on at least one of a ratio of the number of times the first external electronic device has been operated to the total number of operations.
According to claim 1,
When the instructions are executed, the at least one processor,
controlling the communication circuit to transmit a message indicating whether to use the second control information to at least one terminal;
When information indicating that the second control information is to be used is received from the at least one terminal through the communication circuit, the first external device to perform an operation based on at least one of the updated event information or the updated operation information An electronic device configured to control an electronic device.
A method of generating control information for an external electronic device in an electronic device, the method comprising:
obtaining first control information usable by a plurality of users from at least one device in the cloud; The first control information includes event information and operation information of a first external electronic device related to the event information,
When an event based on the event information is generated, information on at least one event related to the event that occurs before or after the time when the event occurs, or at least one user related to the event among the plurality of users identifying at least one of context information for
updating at least one of the event information and the operation information based on the identified information; and
and generating second control information by updating the first control information to include at least one of updated event information or updated operation information.
9. The method of claim 8,
The context information may include information about the at least one user, location-related information of the first external electronic device at the time when the event occurs, environment information related to the event, or at least one second external electronic device related to the event. A method comprising at least one of information about the device.
10. The method of claim 9,
The location-related information of the first external electronic device includes the number of external electronic devices included in the location where the first external electronic device is located, status information of each of the external electronic devices included in the location, temperature information of the location, and the A method comprising at least one of humidity information of a place, air quality information of the place, smell information of the place, and noise information of the place.
10. The method of claim 9,
The information on the at least one user is identified based on at least one mobile terminal, and information on whether the at least one mobile terminal exists at the time the event occurs, or information on whether the at least one mobile terminal exists case, at least one of time information from a time when the at least one mobile terminal accesses a network to receive a service from the electronic device to a time when the event occurs.
10. The method of claim 9,
The environment information associated with the event may include time information at which the event occurred, information on the number of users in the location where the event occurred, usage characteristic information of the location where the event occurred, weather information at the time the event occurred, or information on the number of users in the location where the event occurred. A method comprising at least one of air quality information at the time.
10. The method of claim 9,
the at least one second external electronic device represents at least one external electronic device having a high correlation with the first external electronic device among a plurality of external electronic devices connected to the electronic device by a threshold value or higher;
The correlation between the i-th external electronic device and the first external electronic device among the plurality of external electronic devices is determined by determining whether the i-th external electronic device is located in the same place as the first external electronic device, and the i-th external electronic device for a set time. The cumulative average value of the time that the ith external electronic device is executed simultaneously with the first external electronic device, the distance information between the time when the event occurs and the time when the event related to the i-th external electronic device occurs, and the first external electronic device is a ratio of the number of times the i-th external electronic device operates to the number of times each of the plurality of external electronic devices operates, or when the i-th external electronic device operates, each of the plurality of external electronic devices operates The method is determined based on at least one of a ratio of the number of times the first external electronic device has been operated to the total number of operations.
9. The method of claim 8,
transmitting a message indicating whether to use the second control information to at least one terminal;
When information indicating that the second control information is to be used is received from the at least one terminal, controlling the first external electronic device to perform an operation based on at least one of the updated event information and the updated operation information How to include more.
A non-transitory storage medium storing instructions, wherein the instructions are configured to cause the at least one processor to perform at least one operation when executed by the at least one processor, the at least one operation comprising:
obtaining first control information usable by a plurality of users from at least one device in the cloud; The first control information includes event information and operation information of a first external electronic device related to the event information,
When an event based on the event information is generated, information on at least one event related to the event that occurs before or after the time when the event occurs, or at least one user related to the event among the plurality of users identifying at least one of context information for
updating at least one of the event information and the operation information based on the identified information; and
and generating second control information by updating the first control information to include at least one of updated event information and updated operation information.
16. The method of claim 15,
The context information may include information about the at least one user, location-related information of the first external electronic device at the time when the event occurs, environment information related to the event, or at least one second external electronic device related to the event. A storage medium comprising at least one of information about a device.
17. The method of claim 16,
The location-related information of the first external electronic device includes the number of external electronic devices included in the location where the first external electronic device is located, status information of each of the external electronic devices included in the location, temperature information of the location, and the A storage medium comprising at least one of humidity information of a place, air quality information of the place, smell information of the place, and noise information of the place.
17. The method of claim 16,
The information on the at least one user is identified based on at least one mobile terminal, and information on whether the at least one mobile terminal exists at the time the event occurs, or information on whether the at least one mobile terminal exists case, the storage medium comprising at least one of time information from a time when the at least one mobile terminal accesses a network to receive a service from the electronic device to a time when the event occurs.
17. The method of claim 16,
The environment information related to the event may include time information at which the event occurred, information on the number of users in the location where the event occurred, usage characteristic information of the location where the event occurred, weather information at the time the event occurred, or the event occurred A storage medium comprising at least one of air quality information at the time.
17. The method of claim 16,
the at least one second external electronic device represents at least one external electronic device having a high correlation with the first external electronic device among a plurality of external electronic devices connected to the electronic device by a threshold value or higher;
The correlation between the i-th external electronic device and the first external electronic device among the plurality of external electronic devices is determined by determining whether the i-th external electronic device is located in the same place as the first external electronic device, and the i-th external electronic device for a set time. The cumulative average value of the time that the ith external electronic device is executed simultaneously with the first external electronic device, the distance information between the time when the event occurs and the time when the event related to the i-th external electronic device occurs, and the first external electronic device is a ratio of the number of times the i-th external electronic device operates to the number of times each of the plurality of external electronic devices operates, or when the i-th external electronic device operates, each of the plurality of external electronic devices operates A storage medium determined based on at least one of a ratio of the number of times the first external electronic device has been operated to the total number of operations.

Images