WO2022075621A1 - Dispositif électronique, et procédé de fonctionnement de dispositif électronique - Google Patents

Dispositif électronique, et procédé de fonctionnement de dispositif électronique Download PDF

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Publication number
WO2022075621A1
WO2022075621A1 PCT/KR2021/012566 KR2021012566W WO2022075621A1 WO 2022075621 A1 WO2022075621 A1 WO 2022075621A1 KR 2021012566 W KR2021012566 W KR 2021012566W WO 2022075621 A1 WO2022075621 A1 WO 2022075621A1
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Prior art keywords
electronic device
error
external electronic
state data
cause
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PCT/KR2021/012566
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English (en)
Korean (ko)
Inventor
권세홍
김요한
오동호
이지성
조정훈
최동민
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삼성전자 주식회사
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Publication of WO2022075621A1 publication Critical patent/WO2022075621A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0793—Remedial or corrective actions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0766—Error or fault reporting or storing
    • G06F11/0781—Error filtering or prioritizing based on a policy defined by the user or on a policy defined by a hardware/software module, e.g. according to a severity level
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2247—Verification or detection of system hardware configuration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2252—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using fault dictionaries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324—Display of status information

Definitions

  • An error or defect may occur in an electronic device due to various causes during a manufacturing process, a testing process, or a process of using the electronic device by a user.
  • Information related to an error or defect occurring in the electronic device may be recorded in log data or a dump file generated by the electronic device.
  • Various embodiments disclosed in this document are intended to provide an electronic device that effectively provides an error occurring in an external electronic device and a solution thereto by using a known error and a solution therefor.
  • Various embodiments disclosed in this document provide an electronic device that receives state data from an external electronic device in which an error has occurred and obtains at least one of a cause of an error or a solution to the error by using a filter corresponding to a keyword included in the state data.
  • a filter corresponding to a keyword included in the state data.
  • Various embodiments disclosed in this document provide an electronic device that provides at least one of a cause of an error or a solution to an error at an improved speed by using a plurality of filters corresponding to types of errors.
  • An electronic device may include a memory and a processor operatively connected to the memory.
  • the processor when the memory is executed, the processor receives state data from an external electronic device in which an error has occurred, and uses at least some of a plurality of filters respectively corresponding to different types of errors, instructions for analyzing the received state data, recognizing a cause of the error occurring in the external electronic device based on the analyzed state data, and providing a solution corresponding to the error to the user of the electronic device may include
  • the method of operating an electronic device uses at least some of a plurality of filters respectively corresponding to the operation of receiving state data from an external electronic device in which an error has occurred and different types of errors.
  • an operation of analyzing the received state data, an operation of recognizing a cause of the error occurring in the external electronic device based on the analyzed state data, and a solution corresponding to the error are provided by a user of the electronic device It may include an action provided to
  • an electronic device that receives status data from an external electronic device in which an error has occurred, and obtains at least one of a cause of an error or a solution to the error by using a filter corresponding to a keyword included in the state data device can be provided.
  • FIG. 1 is a block diagram of an electronic device in a network environment, according to various embodiments of the present disclosure
  • FIG. 2 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • FIG. 3 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • FIG. 4 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • FIG. 5 is a flowchart of a method of operating an electronic device according to various embodiments of the present disclosure
  • FIG. 6 is a flowchart of a method of operating an electronic device according to various embodiments of the present disclosure
  • FIG. 1 is a block diagram of an electronic device 101 in a network environment 100 according to various embodiments.
  • an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or a second network 199 . It may communicate with the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 .
  • a first network 198 eg, a short-range wireless communication network
  • a second network 199 e.g., a second network 199
  • the electronic device 101 may communicate with the electronic device 104 through the server 108 .
  • the electronic device 101 includes a processor 120 , a memory 130 , an input module 150 , a sound output module 155 , a display module 160 , an audio module 170 , and a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or an antenna module 197 may be included.
  • at least one of these components eg, the connection terminal 178
  • may be omitted or one or more other components may be added to the electronic device 101 .
  • some of these components are integrated into one component (eg, display module 160 ). can be
  • the processor 120 for example, executes software (eg, a program 140) to execute at least one other component (eg, a hardware or software component) of the electronic device 101 connected to the processor 120 . It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or operation, the processor 120 converts commands or data received from other components (eg, the sensor module 176 or the communication module 190 ) to the volatile memory 132 . may be stored in the volatile memory 132 , and may process commands or data stored in the volatile memory 132 , and store the result data in the non-volatile memory 134 .
  • software eg, a program 140
  • the processor 120 converts commands or data received from other components (eg, the sensor module 176 or the communication module 190 ) to the volatile memory 132 .
  • the volatile memory 132 may be stored in the volatile memory 132 , and may process commands or data stored in the volatile memory 132 , and store the result data in the non-volatile memory 134 .
  • the processor 120 is the main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit) a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor).
  • the main processor 121 e.g, a central processing unit or an application processor
  • a secondary processor 123 eg, a graphic processing unit, a neural network processing unit
  • NPU neural processing unit
  • an image signal processor e.g., a sensor hub processor, or a communication processor.
  • the main processor 121 e.g, a central processing unit or an application processor
  • a secondary processor 123 eg, a graphic processing unit, a neural network processing unit
  • NPU neural processing unit
  • an image signal processor e.g., a sensor hub processor, or a communication processor.
  • the main processor 121 e.g, a central processing unit or an application processor
  • a secondary processor 123
  • the auxiliary processor 123 is, for example, on behalf of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, executing an application). ), together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states.
  • the co-processor 123 eg, an image signal processor or a communication processor
  • may be implemented as part of another functionally related component eg, the camera module 180 or the communication module 190. there is.
  • the auxiliary processor 123 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 101 itself on which artificial intelligence is performed, or may be performed through a separate server (eg, the server 108).
  • the learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited
  • the artificial intelligence model may include a plurality of artificial neural network layers.
  • Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the 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 130 may store various data used by at least one component of the electronic device 101 (eg, the processor 120 or the sensor module 176 ).
  • the data may include, for example, input data or output data for software (eg, the program 140 ) and instructions related thereto.
  • the memory 130 may include a volatile memory 132 or a non-volatile memory 134 .
  • the program 140 may be stored as software in the memory 130 , and may include, for example, an operating system 142 , middleware 144 , or an application 146 .
  • the input module 150 may receive a command or data to be used in a component (eg, the processor 120 ) of the electronic device 101 from the outside (eg, a user) of the electronic device 101 .
  • the input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).
  • the sound output module 155 may output a sound signal to the outside of the electronic device 101 .
  • the sound output module 155 may include, for example, a speaker or a receiver.
  • the speaker can be used for general purposes such as multimedia playback or recording playback.
  • the receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.
  • the display module 160 may visually provide information to the outside (eg, a user) of the electronic device 101 .
  • the display module 160 may include, for example, a control circuit for controlling a display, a hologram device, or a projector and a corresponding device.
  • the display module 160 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 170 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 170 acquires a sound through the input module 150 , or an external electronic device (eg, a sound output module 155 ) connected directly or wirelessly with the electronic device 101 . A sound may be output through the electronic device 102 (eg, a speaker or headphones).
  • an external electronic device eg, a sound output module 155
  • a sound may be output through the electronic device 102 (eg, a speaker or headphones).
  • the sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, user state), and generates an electrical signal or data value corresponding to the sensed state. can do.
  • the sensor module 176 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 177 may support one or more designated protocols that may be used by the electronic device 101 to directly or wirelessly connect with an external electronic device (eg, the electronic device 102 ).
  • the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.
  • HDMI high definition multimedia interface
  • USB universal serial bus
  • SD card interface Secure Digital Card
  • the connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102 ).
  • the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).
  • the haptic module 179 may convert 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.
  • the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.
  • the camera module 180 may capture still images and moving images. According to an embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.
  • the power management module 188 may manage power supplied to the electronic device 101 .
  • the power management module 188 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).
  • PMIC power management integrated circuit
  • the battery 189 may supply power to at least one component of the electronic device 101 .
  • battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.
  • the communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). It can support establishment and communication performance through the established communication channel.
  • the communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication.
  • the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : It may include a LAN (local area network) communication module, or a power line communication module).
  • GNSS global navigation satellite system
  • a corresponding communication module among these communication modules is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN).
  • a first network 198 eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)
  • a second network 199 eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN).
  • a telecommunication network
  • the wireless communication module 192 uses the subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199 .
  • the electronic device 101 may be identified or authenticated.
  • the wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, 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)).
  • eMBB enhanced mobile broadband
  • mMTC massive machine type communications
  • URLLC ultra-reliable and low-latency
  • the wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example.
  • a high frequency band eg, mmWave band
  • the wireless communication module 192 includes 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 192 may support various requirements specified in the electronic device 101 , an external electronic device (eg, the electronic device 104 ), or a network system (eg, the second network 199 ).
  • the wireless communication module 192 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).
  • a peak data rate eg, 20 Gbps or more
  • loss coverage eg, 164 dB or less
  • U-plane latency for realizing URLLC
  • the antenna module 197 may transmit or receive a signal or power to the outside (eg, an external electronic device).
  • the antenna module 197 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern.
  • the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is connected from the plurality of antennas by, for example, the communication module 190 . can be selected. A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna.
  • other components eg, a radio frequency integrated circuit (RFIC)
  • RFIC radio frequency integrated circuit
  • the antenna module 197 may form a mmWave antenna module.
  • the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) 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.
  • peripheral devices eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)
  • GPIO general purpose input and output
  • SPI serial peripheral interface
  • MIPI mobile industry processor interface
  • the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 .
  • Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 .
  • all or a part of operations executed in the electronic device 101 may be executed in one or more external electronic devices 102 , 104 , or 108 .
  • the electronic device 101 may perform the function or service itself instead of executing the function or service itself.
  • 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 101 .
  • the electronic device 101 may process the result as it is or additionally and provide it as at least a part of a response to the request.
  • cloud computing distributed computing, mobile edge computing (MEC), or client-server computing technology may be used.
  • the electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing.
  • the external electronic device 104 may include an Internet of things (IoT) device.
  • Server 108 may be an intelligent server using machine learning and/or neural networks.
  • the external electronic device 104 or the server 108 may be included in the second network 199 .
  • the electronic device 101 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.
  • FIG. 2 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • an electronic device 200 (eg, the electronic device 101 of FIG. 1 ) includes a memory 210 (eg, the memory 130 of FIG. 1 ) and a processor 220 (eg, the electronic device 101 of FIG. 1 ). processor 120).
  • the memory 210 may store at least one program, application, data, or instructions executed by the processor 220 .
  • the memory 210 may include at least a portion of the memory 130 illustrated in FIG. 1 .
  • the memory 210 is an electronic device 200 to be described later (eg, the electronic device 300 of FIG. 3 , the electronic device 400 of FIG. 4 , or an electronic device described with reference to FIGS. 5 to 6 ). information or instructions to cause at least a part of the operation of the device) to be performed.
  • the memory 210 may include instructions related to a plurality of applications executed by the processor 220 .
  • errors due to various causes may occur in a manufacturing stage or a use stage of an external electronic device (not shown).
  • an error may occur in a hardware component included in the external electronic device or software installed in the external electronic device, and the external electronic device may operate abnormally.
  • the electronic device 200 analyzes and obtains known (or pre-stored) errors and a known solution corresponding to the error by using a plurality of filters, and uses the obtained solution as the electronic device 200 . It can be efficiently provided to a user of an external electronic device or a user of an external electronic device.
  • the electronic device 200 may further include a communication circuit (not shown).
  • the processor 220 may obtain (or receive) state data from an external electronic device in a wired and/or wireless manner using a communication circuit of the electronic device 200 . According to an embodiment, the processor 220 may analyze information included in the acquired state data to recognize the cause of the error and obtain a solution corresponding to the recognized error.
  • the state data may include at least one of log data and a dump file of an external electronic device in which an error has occurred.
  • the log data or the dump file may include information related to an external electronic device at a time when the log data or the dump file is generated.
  • the log data or the dump file may include information about an error occurring in the external electronic device.
  • the log data or the dump file may include a keyword related to an error occurring in the external electronic device.
  • log data or dump files may be stored in an external electronic device.
  • the state data may include characteristic information related to the external electronic device generated by manufacturing equipment for manufacturing the external electronic device or test equipment for testing the operation of the external electronic device.
  • the characteristic information may include data measured during a production process or a test process of the external electronic device.
  • the characteristic information may include temperature information of a hardware component included in the external electronic device (eg, temperature information of a CPU chip, a DDR chip, or a communication chip), various test values of a hardware component included in the external electronic device (eg, temperature information of a communication chip). : a stress test value of a CPU chip or a DDR chip) and a test value of software installed in an external electronic device.
  • the characteristic information may be stored in manufacturing equipment or test equipment of an external electronic device.
  • the memory 210 may include a plurality of filters.
  • the filter may include a rule or code for obtaining at least one of a cause of an error or a solution to the error based on state data (eg, log data, dump file, or characteristic information).
  • the plurality of filters may be stored in the memory 210 or stored in an external server (not shown).
  • the electronic device 200 may receive a plurality of filters stored in an external server and store them in the memory 210 .
  • the processor 220 may analyze an error occurring in the external electronic device using a plurality of filters and state data stored in the memory 210 .
  • a case in which a plurality of filters are stored in the memory 210 will be described as an example. This is for convenience of description, and even when a plurality of filters are stored in an external server, the embodiments described with reference to the drawings to be described later may be applied in the same or similar manner.
  • the plurality of filters stored in the memory 210 may be distinguished from each other based on various criteria. Referring to the drawings to be described later, it has been described that the plurality of filters according to an embodiment are distinguished from each other according to the type (or type) of the error, but this is for convenience of description and is limited to the described embodiment. not to be construed as For example, a plurality of filters according to an embodiment may be distinguished from each other based on an error-solving subject or a cause of the error.
  • the processor 220 may provide a solution for resolving an error occurring in the external electronic device by using a plurality of filters.
  • hardware errors or defects may occur in the external electronic device due to various causes during a production process.
  • a hardware component such as a CPU chip, DDR chip, sensor module, battery, or display that has a high temperature above a threshold temperature value or has an abnormal internal voltage or internal current value during production or use of an external electronic device
  • An external electronic device including an abnormal hardware component may have an error or a high potential error occurrence probability.
  • errors or defects in software installed in the external electronic device may occur due to various causes.
  • an external electronic device including software in which an error has occurred may operate abnormally.
  • the processor 220 may analyze an error occurring in the external electronic device using a plurality of filters.
  • the plurality of filters may include errors that may occur in the external electronic device and solutions for recovering errors.
  • the plurality of filters may be updated by continuously receiving errors and solutions corresponding to errors from the outside (eg, a user of an external electronic device or a user of the electronic device 200 ).
  • the processor 220 may obtain a solution corresponding to a result of analyzing an error using a plurality of filters, and provide the obtained solution to the user of the external electronic device or the user of the electronic device 200 .
  • the processor 220 may analyze an error occurring in the external electronic device using a plurality of filters that are distinguished from each other according to a predetermined criterion.
  • a plurality of filters may correspond to different types of errors.
  • the processor 220 may analyze an error by using a first filter corresponding to the first type and a second filter corresponding to the second type, and using a filter corresponding to each type.
  • an error related to a camera may occur in the external electronic device.
  • the processor 220 may obtain state data from the external electronic device and analyze the obtained state data using a specified filter.
  • the processor 220 may analyze the state data by using a camera-related filter among a plurality of filters.
  • the processor 220 may obtain (or search for) a solution corresponding to the error by using a filter related to a camera and a keyword included in the state data.
  • the processor 220 may provide a notification informing the electronic device 200 or the external electronic device of the obtained solution.
  • an error related to a camera may occur in the external electronic device.
  • the processor 220 obtains state data from an external electronic device, and analyzes the obtained state data using a specified filter (eg, a filter related to a camera) to respond to an error. can be obtained.
  • a specified filter eg, a filter related to a camera
  • a software-related error may occur in the external electronic device.
  • the processor 220 may obtain state data from the external electronic device and analyze the obtained state data using a specified filter.
  • the processor 220 may analyze the state data by using a filter related to system operation among a plurality of filters.
  • the processor 220 may obtain (or search for) a solution corresponding to the error by using a keyword included in the state data and a filter related to system operation.
  • the processor 220 may provide a notification informing the electronic device 200 or the external electronic device of the acquired solution.
  • an error related to software may occur in the external electronic device.
  • the processor 220 obtains the state data from the external electronic device, analyzes the obtained state data using a specified filter (eg, a filter related to system operation) to solve the error corresponding to the error. plan can be obtained.
  • a specified filter eg, a filter related to system operation
  • the electronic device 200 may include a plurality of filters that are distinguished from each other according to a specified criterion.
  • a plurality of filters may be stored in the memory 210 .
  • the plurality of filters may include a first filter corresponding to the first type and a second filter corresponding to the second type.
  • the processor 220 acquires at least one of a cause of an error or a solution to an error at an improved speed using a plurality of filters respectively corresponding to the type of error, and selects at least one of the cause of the error or a solution to the error can be provided to users.
  • the processor 220 acquires (or searches for) a solution corresponding to the error by using a filter that is differentiated according to the type of error, so that the external electronic device in which the error has occurred is restored or improved at an improved processing speed can do.
  • the plurality of filters may be updated separately from each other.
  • the processor 220 may update the first filter using an error corresponding to the first type and a solution to the error.
  • the processor 220 may update the second filter using an error corresponding to the second type and a solution to the error.
  • FIG. 3 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • an electronic device 300 may include a memory 310 (eg, the memory 130 of FIG. 1 or FIG. 2 ). of the memory 210) and a processor 320 (eg, the processor 120 of FIG. 1 and the processor 220 of FIG. 2).
  • the memory 310 may include a plurality of filters 311 , 312 , ... , 31n.
  • the plurality of filters 311 , 312 , ... , 31n may include a first filter 311 , a second filter 312 to an n-th filter 31n .
  • the first filter 311 , the second filter 312 to the nth filter 31n may be distinguished according to a predetermined criterion, respectively.
  • the first filter 311 , the second filter 312 to the nth filter 31n may correspond to types of errors that may occur in an external electronic device (not shown), respectively.
  • the memory 310 may store at least one program, application, data, or instructions executed by the error analysis module 321 .
  • the memory 310 allows the error analysis module 321 to analyze the error using a plurality of filters 311 , 312 , ... , 31n and obtain a solution corresponding to the error It may contain instructions.
  • the processor 320 may include an error analysis module 321 that analyzes an error using a plurality of filters 311 , 312 , ... , 31n .
  • the error analysis module 321 may perform at least a part of the operation of the processor 220 described with reference to FIG. 2 .
  • the error analysis module 321 may be implemented using a physical hardware module, logic, logic block, or circuit.
  • the error analysis module 321 is illustrated as being included in the processor 320 , but this is only an example, and the error analysis module 321 according to various embodiments may include one or more errors stored in the memory 310 . It may be a software module corresponding to the instructions. For example, the software module may be executed by the processor 320 to implement the operation of the error analysis module 321 to be described later. In various embodiments, the error analysis module 321 and the plurality of filters 311, 312, ..., 31n may operate integrally.
  • the error analysis module 321 obtains or receives state data from an external electronic device (not shown), manufacturing equipment (not shown) of the external electronic device, or test equipment (not shown) of the external electronic device can do.
  • the state data may include at least one of log data related to an external electronic device and a dump file.
  • the state data may be stored in an external electronic device.
  • the state data may include characteristic information related to the external electronic device generated by manufacturing equipment for manufacturing the external electronic device or test equipment for testing the operation of the external electronic device.
  • State data may be stored on manufacturing equipment or test equipment.
  • the characteristic information may include at least one of voltage information, current information, and temperature information of a hardware component included in the external electronic device, obtained in a manufacturing step or a testing step of the external electronic device.
  • the state data may include a keyword related to an error occurring in the external electronic device.
  • the error analysis module 321 extracts a keyword included in the acquired state data using a plurality of filters 311, 312, ..., 31n, and obtains a solution corresponding to the keyword can do.
  • Table 1 below is a table exemplarily showing keywords and error information corresponding to the keywords.
  • Table 1 shows a plurality of filters 311, 312, ... 31n) will exemplify the error information analyzed.
  • the error information may include at least one of a cause of the error or a solution to the error.
  • the first state data may include a first keyword corresponding to “UFS error”.
  • the error analysis module 321 selects at least one filter from among the plurality of filters 311, 312, ..., 31n, and uses the selected at least one filter to obtain first error information corresponding to the first keyword.
  • the error analysis module 321 obtains the first error information mapped to the first keyword by using the first filter 311 , and the cause of the error or the error solution method included in the first error information At least one of them may be provided to the electronic device 300 (or the user of the electronic device 300) or the external electronic device (or the user of the external electronic device).
  • the error analysis module 321 may notify the electronic device 300 or the external electronic device that there is a possibility of an error related to the UFS chip. For example, the error analysis module 321 may display a notification including at least a part of the acquired first error information on a display (not shown) included in the electronic device 300 .
  • the second state data may include a second keyword corresponding to “call fatal error”.
  • the error analysis module 321 selects at least one filter from among the plurality of filters 311, 312, ..., 31n, and uses the selected at least one filter to obtain second error information corresponding to the second keyword.
  • the error analysis module 321 obtains second error information mapped to the second keyword by using the second filter 312 , and a cause of an error included in the second error information or a solution to the error At least one of them may be provided to the electronic device 300 or an external electronic device.
  • the error analysis module 321 may notify the electronic device 300 or the external electronic device that there is a possibility of an error in the call application.
  • the error analysis module 321 may display a notification including at least a part of the acquired second error information on a display (not shown) included in the electronic device 300 .
  • the third state data may include a third keyword corresponding to “CPU margin -10”.
  • the error analysis module 321 selects at least one filter from among the plurality of filters 311, 312, ..., 31n, and uses the selected at least one filter to obtain third error information corresponding to the third keyword. can For example, the error analysis module 321 obtains third error information mapped to the third keyword by using a third filter (not shown), and solves the cause or error of the error included in the third error information
  • At least one of the methods may be provided to the electronic device 300 or an external electronic device.
  • the error analysis module 321 may notify the electronic device 300 or the external electronic device that there is a possibility of an error in the CPU chip.
  • the error analysis module 321 may display a notification including at least a part of the obtained third error information on a display (not shown) included in the electronic device 300 .
  • the fourth state data may include a fourth keyword corresponding to “DDR margin -5”.
  • the error analysis module 321 selects at least one filter from among the plurality of filters 311, 312, ..., 31n, and uses the selected at least one filter to obtain fourth error information corresponding to the fourth keyword. can For example, the error analysis module 321 obtains fourth error information mapped to the fourth keyword by using a fourth filter (not shown), and solves the cause or error of the error included in the fourth error information
  • At least one of the methods may be provided to the electronic device 300 or an external electronic device.
  • the error analysis module 321 may notify the electronic device 300 or the external electronic device that there is a possibility of an error in the DDR chip.
  • the error analysis module 321 may display a notification including at least a part of the obtained fourth error information on a display (not shown) included in the electronic device 300 .
  • the fifth state data may include a fifth keyword corresponding to “temp over 90”.
  • the error analysis module 321 selects at least one filter from among the plurality of filters 311, 312, ..., 31n, and obtains fifth error information corresponding to the fifth keyword by using the selected at least one filter. can For example, the error analysis module 321 obtains fifth error information mapped to the fifth keyword by using a fifth filter (not shown), and solves the cause or error of the error included in the fifth error information
  • At least one of the methods may be provided to the electronic device 300 or an external electronic device.
  • the error analysis module 321 may notify the electronic device 300 or the external electronic device that there is a possibility of an error in the CPU chip.
  • the error analysis module 321 may display a notification including at least a part of the obtained fifth error information on a display (not shown) included in the electronic device 300 .
  • the error analysis module 321 may perform a series of error analysis algorithms using keywords included in the state data. According to an embodiment, when the state data is in an encrypted state, the error analysis module 321 may further perform an operation for decrypting the encryption.
  • the error analysis module 321 may provide state data to at least one filter to recognize (or acquire) a keyword and, if it fails to acquire a specified word or phrase within a specified time, the cause of the error or A solution to the error can be obtained.
  • the error analysis module 321 may recognize that the keyword “UFS testing” exists in the state data or acquire the keyword “UFS testing” included in the state data.
  • the error analysis module 321 fails to obtain the keyword “UFS finish” in the state data within 30 seconds after the keyword “UFS testing”, the user of the electronic device 300 determines that an error related to the UFS chip has occurred. Alternatively, the user of the external electronic device may be notified.
  • the error analysis module 321 provides the state data to at least one filter to recognize (or acquire) a keyword, and then extracts a special record stored in a special area of the memory 310 to extract the extracted special records can be analyzed.
  • the error analysis module 321 may analyze a special log file stored in a special area of the memory 310 based on recognizing the keyword “kernel panic” included in the state data.
  • the error analysis module 321 may analyze a special log file to obtain a cause of an error corresponding to “kernel panic” or a solution to the error.
  • the error analysis module 321 may provide the state data to at least one filter to recognize (or acquire) a keyword, and then analyze the error using a file including data different from the state data. there is.
  • the error analysis module 321 may analyze a file including an event operation log based on recognizing the keyword “calendar app fatal” included in the state data.
  • the error analysis module 321 may analyze the file including the state data and the event operation log together to obtain a detailed cause of the error or a solution to the error.
  • a notification indicating that there is no error analysis failure or pre-stored error information It may be provided to a user of the electronic device 300 or a user of an external electronic device.
  • the error analysis module 321 may generate at least one of a notification notifying that a keyword corresponding to the error does not exist, a notification requesting update of the keyword, or a notification requesting update of error information. there is.
  • the processor 320 may display the generated notification through a display (not shown) included in the electronic device 300 .
  • the processor 320 receives a keyword for the error from the outside (eg, the user of the electronic device 300 or the user of the external electronic device), the cause of the error, or resolution of the error At least one of the methods may be received.
  • the error analysis module 321 may selectively update a filter corresponding to the corresponding error by using at least one of the received keyword for the corresponding error, the cause of the corresponding error, and the solution for the corresponding error.
  • the processor 320 learns a pre-stored keyword and an error analysis algorithm in a machine learning or deep learning manner to obtain or generate a cause of an error or a solution to the error can do.
  • the processor 320 may learn the error analysis module 321 in a machine learning or deep learning method using a pre-stored cause of an error and a solution to the error.
  • the error analysis module 321 may obtain and/or generate an error that is not stored by machine learning or deep learning techniques and a solution therefor.
  • an external server (not shown) may generate an upgraded or updated error cause and error solution by learning the cause and solution of the error stored in advance by machine learning or deep learning.
  • the processor 320 may receive an upgraded or updated error cause and a solution to the error from an external server.
  • the processor 320 may upgrade or update at least some of the error analysis module 321 or the plurality of filters 311, 312, ..., 31n by using the upgraded or updated error cause and error solution.
  • FIG. 4 is a block diagram of an electronic device according to various embodiments of the present disclosure.
  • an electronic device 400 (eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device 300 of FIG. 3 ) includes a plurality of filters 411 to 416 . ) (eg, a plurality of filters 311 , 312 , ... , 31n of FIG. 3 ) and an error analysis module 420 (eg, processor 120 of FIG. 1 , processor 220 of FIG. 2 and/or FIG. 3 of the error analysis module 321).
  • a plurality of filters 411 to 416 eg, a plurality of filters 311 , 312 , ... , 31n of FIG. 3
  • an error analysis module 420 eg, processor 120 of FIG. 1 , processor 220 of FIG. 2 and/or FIG. 3 of the error analysis module 321).
  • the plurality of filters 411 to 416 shown in FIG. 4 include a system-related first filter 411, a framework-related second filter 412, an application-related third filter 413, and a camera-related fourth filter. It may include a filter 414 , a fifth filter 415 associated with a sensor, and a sixth filter 416 associated with hardware.
  • the plurality of filters 411 to 416 illustrated in FIG. 4 are only examples for convenience of description, and the number of filters or types of filters included in the electronic device 400 is not limited to the illustrated ones. For example, at least some of the filters shown in FIG. 4 may be omitted, or two or more filters may operate integrally.
  • the error analysis module 420 includes at least one of a cause of an error or a solution to the error through the first filter 411 using a first keyword related to the system included in the state data.
  • error information can be generated. For example, when the error analysis module 420 provides state data of an external electronic device (not shown) in which an error has occurred to the first filter 411 and obtains a first keyword through the first filter 411 , at least one of a cause of an error corresponding to the obtained first keyword or a solution to the error may be output to the outside.
  • the error analysis module 420 includes at least one of a cause of an error or a solution to the error through the second filter 412 using the second keyword related to the framework included in the state data.
  • error information can be generated.
  • the error analysis module 420 provides the state data of the external electronic device in which the error has occurred to the second filter 412 , and when the second keyword is obtained through the second filter 412 , the At least one of a cause of an error corresponding to the 2 keywords or a solution to the error may be output to the outside.
  • the error analysis module 420 includes at least one of a cause of an error or a solution to the error through the third filter 413 using a third keyword related to an application included in the state data.
  • error information can be generated.
  • the error analysis module 420 provides state data of the external electronic device in which an error has occurred to the third filter 413 , and when the third keyword is obtained through the third filter 413 , the At least one of a cause of an error corresponding to the 3 keywords or a solution to the error may be output to the outside.
  • the error analysis module 420 uses different types of keywords included in the state data to generate the fourth filter 414, the fifth filter 415, or At least one of the sixth filters 416 may be selected.
  • the error analysis module 420 may obtain at least one of a cause of an error corresponding to the keyword or a solution to the error by using the selected filter.
  • the error analysis module 420 may analyze one state data using two or more filters. For example, the error analysis module 420 may analyze one state data using a plurality of filters in units of a specified number.
  • the error analysis module 420 may analyze the state data including the first keyword related to the first filter by using the first filter 411 and the second filter 412 .
  • the error analysis module 420 may obtain error information corresponding to the first keyword within a preset time through the first filter 411 . If error information is not obtained within a preset time through the second filter 412 , the error analysis module 420 may determine that the error indicated by the state data is not an error type corresponding to the second filter 412 . there is.
  • the error analysis module 420 may analyze the state data including the fourth keyword related to the fourth filter using the first filter 411 and the second filter 412 .
  • the error analysis module 420 may sequentially analyze the state data using other filters.
  • the error analysis module 420 may analyze the state data using the third filter 413 and the fourth filter 414 . If the error information is not obtained within a preset time through the third filter 413 , the error analysis module 420 may determine that the error indicated by the state data is not an error type corresponding to the third filter 413 . there is.
  • the error analysis module 420 may obtain error information corresponding to the fourth keyword within a preset time through the fourth filter 414 .
  • the error analysis module 420 analyzes the state data using all of the first to sixth filters 411, 412, 413, 414, 415, and 416. As a result, error information is displayed within a preset time. If it is not obtained, the error analysis module 420 may determine that there is no pre-stored error information. In this case, the error analysis module 420 transmits at least one of a notification indicating that a keyword corresponding to the error does not exist, a notification requesting an update of the keyword, or a notification requesting an update of error information to the electronic device 400 ) can be printed out.
  • the electronic device 400 may receive at least one of a keyword for a corresponding error, a cause of the corresponding error, or a solution for the corresponding error from an external (eg, a user of the electronic device 400 or a user of the external electronic device). .
  • the error analysis module 420 may selectively update a filter corresponding to the corresponding error by using at least one of the received keyword for the corresponding error, the cause of the corresponding error, and the solution for the corresponding error.
  • An electronic device (eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 , the electronic device 300 of FIG. 3 , or the electronic device 400 of FIG. 4 ) according to an embodiment of the present disclosure , a memory (eg, memory 130 of FIG. 1 or memory 210 of FIG. 2 or memory 310 of FIG. 3 ) and a processor operatively coupled with the memory (eg, processor 120 of FIG. 1 )
  • the processor 220 of FIG. 2 or the processor 320 of FIG. 3 or the error analysis module 420 of FIG. 4) may be included.
  • the processor when the memory is executed, receives state data from an external electronic device in which an error has occurred, and uses at least some of a plurality of filters respectively corresponding to different types of errors, instructions for analyzing the received state data, recognizing a cause of the error occurring in the external electronic device based on the analyzed state data, and providing a solution corresponding to the error to the user of the electronic device may include
  • the instructions include, when the state data includes a specified keyword, selects a filter corresponding to the keyword from among the plurality of filters, and uses the selected filter to receive the The cause of the error included in one state data may be analyzed.
  • the instructions are Information related to at least one of the solutions may be received, and at least one of the plurality of filters may be updated based on the received information.
  • the instructions may provide a first notification for guiding to replace the hardware component of the electronic device. You can make it available to users.
  • the instructions include a second notification for guiding the processor to install updated software in the external electronic device when the cause of the recognized error is related to software included in the external electronic device can be provided to the user of the electronic device.
  • the state data may include at least one of log data and a dump file of the external electronic device.
  • the state data may include characteristic information of the external electronic device generated by manufacturing equipment for manufacturing the external electronic device or test equipment for testing the operation of the external electronic device.
  • the characteristic information may include at least one of voltage information, current information, and temperature information of a hardware component included in the external electronic device.
  • the instructions may cause the processor to sequentially provide the received state data to at least some of the plurality of filters.
  • the instructions may cause the processor to learn the plurality of filters through a machine learning model using a cause of the error and a solution corresponding to the error.
  • FIG. 5 is a flowchart of a method of operating an electronic device according to various embodiments of the present disclosure
  • an electronic device may receive status data from an external electronic device (not shown) in which an error has occurred.
  • the state data may include at least one of log data and a dump file of an external electronic device in which an error has occurred.
  • log data or dump files may be stored in an external electronic device.
  • the state data may include characteristic information related to the external electronic device generated by manufacturing equipment (not shown) that manufactured the external electronic device or test equipment (not shown) that tests the operation of the external electronic device. there is.
  • the characteristic information may be stored in manufacturing equipment or test equipment of an external electronic device.
  • the electronic device may analyze the received state data by using at least some of a plurality of filters respectively corresponding to different types of errors. For example, the electronic device may acquire a keyword included in the received state data. The electronic device may analyze an error by selecting a filter corresponding to the acquired keyword from among the plurality of filters. According to an embodiment, the electronic device may perform a series of error analysis algorithms using the acquired keyword. According to an embodiment, the electronic device may acquire error information including at least one of a cause of an error mapped to the acquired keyword or a solution to the error.
  • the electronic device may recognize a cause of an error occurring in the external electronic device based on the analyzed state data. For example, the electronic device may recognize the cause of the error included in the error information. For example, the electronic device may recognize a cause of an error included in error information generated as a result of performing a series of error analysis algorithms using the acquired keyword.
  • a solution corresponding to the error may be provided to the user of the electronic device.
  • the electronic device may provide a notification guiding the user of the electronic device to replace the hardware component.
  • the electronic device may provide a notification guiding the user of the electronic device to update the software.
  • FIG. 6 is a flowchart of a method of operating an electronic device according to various embodiments of the present disclosure
  • an electronic device eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 , the electronic device 300 of FIG. 3 , or the electronic device 400 of FIG. 4 .
  • the electronic device described with reference to FIG. 5 may receive status data from an external electronic device in which an error has occurred.
  • the electronic device may analyze the received state data using at least one of a plurality of filters. For example, the electronic device may obtain a keyword included in the received state data and analyze the keyword using at least one of a plurality of filters.
  • the electronic device may determine whether there is a pre-stored solution to the error. For example, when the electronic device does not obtain a solution to the error within a preset time, the electronic device may determine that there is no pre-stored solution to the error. If there is no pre-stored solution to the error, the electronic device may perform operation 640 . For example, if the electronic device obtains a solution to an error within a preset time, it may determine that there is a pre-stored solution to the error. The electronic device may perform operation 660 if there is a pre-stored solution to the error.
  • the electronic device may receive a solution to an error from a user of the electronic device. For example, the electronic device sends a notification that a keyword corresponding to an error does not exist, a notification requesting an update of a keyword, or a notification requesting update of error information (eg, at least one of a cause of an error or a solution to an error) At least one of the notifications may be output to the outside of the electronic device.
  • the electronic device may receive from the user of the electronic device at least one of a keyword for a corresponding error, a cause of the corresponding error, and a solution for the corresponding error.
  • the electronic device may update a filter corresponding to the type of the corresponding error by using the error resolution solution received in operation 640 .
  • the electronic device may update a filter corresponding to the type of the corresponding error by using at least one of a keyword for the corresponding error, a cause of the corresponding error, and a solution for the corresponding error.
  • the electronic device may provide a solution corresponding to the error to the user of the electronic device.
  • the electronic device may provide at least one of a notification to a user of the electronic device to replace a hardware component included in the external electronic device or a notification to update software installed in the external electronic device.
  • An electronic device (eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 , the electronic device 300 of FIG. 3 , or the electronic device 400 of FIG. 4 or FIG.
  • the method of operating the electronic device described with reference to FIGS. 5 to 6 ) includes an operation of receiving state data from an external electronic device in which an error has occurred, and at least some of a plurality of filters respectively corresponding to different types of errors, Analyzing the received state data, recognizing a cause of the error occurring in the external electronic device based on the analyzed state data, and providing a solution corresponding to the error to the user of the electronic device It can include actions.
  • the analyzing may include selecting a filter corresponding to the keyword from among the plurality of filters when the state data includes a specified keyword, and using the selected filter to receive the It may include an operation of analyzing a cause of the error included in one state data.
  • the method when the cause of the error occurring in the external electronic device is not recognized based on the state data, at least one of a cause of the error and a solution to the error from the outside of the electronic device
  • the method may further include receiving information related to one, and updating at least one of the plurality of filters based on the received information.
  • the providing may include providing a first notification guiding to replace the hardware component when the cause of the recognized error is related to a hardware component included in the external electronic device.
  • the providing operation when the cause of the recognized error is related to software included in the external electronic device, providing a second notification for guiding the installation of updated software to the external electronic device It may include an action to
  • the state data may include at least one of log data and a dump file of the external electronic device.
  • the state data may include characteristic information of the external electronic device generated by manufacturing equipment for manufacturing the external electronic device or test equipment for testing the operation of the external electronic device.
  • the characteristic information may include at least one of voltage information, current information, and temperature information of a hardware component included in the external electronic device.
  • the analyzing may include sequentially providing the received state data to at least some of the plurality of filters.
  • the method may further include learning the plurality of filters through a machine learning model using a cause of the error and a solution corresponding to the error.
  • the electronic device may be a device of various types.
  • the electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device.
  • a portable communication device eg, a smart phone
  • a computer device e.g., a laptop, a desktop, a tablet, or a portable multimedia device
  • portable medical device e.g., a portable medical device
  • camera e.g., a camera
  • a wearable device e.g., a smart watch
  • a home appliance device e.g., a smart bracelet
  • first, second, or first or second may be used simply to distinguish the element from other elements in question, and may refer to elements in 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.
  • 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.
  • a module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions.
  • the module may be implemented in the form of an application-specific integrated circuit (ASIC).
  • ASIC application-specific integrated circuit
  • one or more instructions stored in a storage medium may be implemented as software (eg, the program 140) including
  • a processor eg, processor 120
  • a device eg, electronic device 101
  • 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.
  • 'non-transitory' only means that the storage medium is a tangible device and does not include 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.
  • a signal eg, electromagnetic wave
  • the method according to various embodiments disclosed in this document may be provided by being included in a 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 via an application store (eg Play StoreTM) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly between smartphones (eg: smartphones) and online.
  • a part of the computer program product may be temporarily stored or temporarily generated 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.
  • 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. .
  • 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.
  • a plurality of components eg, a module or a program
  • 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. .
  • 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, omitted, or , or one or more other operations may be added.

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Abstract

Selon un mode de réalisation, le présent document divulgue un dispositif électronique qui peut comprendre une mémoire et un processeur connecté de manière fonctionnelle à la mémoire. Selon un mode de réalisation, la mémoire peut comprendre des instructions qui permettent, lorsqu'elles sont exécutées : à recevoir des données d'état provenant d'un dispositif électronique externe dans lequel une erreur s'est produite ; à analyser les données d'état reçues à l'aide d'au moins une partie d'une pluralité de filtres, chacun correspondant à un type différent d'erreur ; à reconnaître, sur la base des données d'état analysées, les causes de l'erreur s'étant produite dans le dispositif électronique externe ; et à fournir une solution correspondant à l'erreur à un utilisateur du dispositif électronique. Divers autres modes de réalisation identifiés dans la description sont également possibles.
PCT/KR2021/012566 2020-10-06 2021-09-15 Dispositif électronique, et procédé de fonctionnement de dispositif électronique WO2022075621A1 (fr)

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KR10-2020-0128720 2020-10-06

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KR20110014277A (ko) * 2009-07-31 2011-02-11 엘지전자 주식회사 가전기기 진단시스템 및 그 진단방법
US20130042147A1 (en) * 2010-03-11 2013-02-14 Nec Corporation Fault analysis rule extraction device, fault analysis rule extraction method and storage medium
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080070116A (ko) * 2007-01-25 2008-07-30 주식회사 케이티 센서 네트워크의 에러위치 및 에러원인 제공방법
KR20110014277A (ko) * 2009-07-31 2011-02-11 엘지전자 주식회사 가전기기 진단시스템 및 그 진단방법
US20130042147A1 (en) * 2010-03-11 2013-02-14 Nec Corporation Fault analysis rule extraction device, fault analysis rule extraction method and storage medium
KR20140054397A (ko) * 2011-09-30 2014-05-08 텔레호낙티에볼라게트 엘엠 에릭슨(피유비엘) 근본 원인 분석을 위한 방법, 장치, 및 통신 네트워크
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