KR20230125625A - Electronic device and operating method for the same - Google Patents

Abstract

A memory for storing one or more instructions and a processor for executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions to diagnose at least one component included in an external device. When the need to update the rule set format is detected, a temporary rule set format is generated, the generated temporary rule set format is compared with at least one rule set format stored in the database, and a predetermined criterion is determined based on the comparison result. Accordingly, an electronic device may be provided that recommends, among at least one rule set format stored in the database, at least one rule set format similar to the temporary rule set format as a new rule set format for the external device.

Description

Electronic device and operating method thereof

Various embodiments relate to an electronic device and an operating method thereof. More specifically, it relates to an electronic device that automatically recommends a rule set format suitable for a changed situation in order to efficiently manage a rule set format for diagnosing at least one component included in an external device, and an operating method thereof.

Many electronic devices are used in various fields.

Some of the electronic devices are closely managed by users, but some are not.

Accordingly, a rule set format capable of automatically diagnosing at least one component included in the electronic device and notifying the user when an abnormality is detected is used. This rule set format needs to be updated according to a change in at least one of device information, installation environment information, operating environment information, and use type information of the electronic device.

The method of manually updating the rule set format by the user may cause different results depending on the user's competency or proficiency, and as the number of rule set formats to be managed increases as the version of the rule set format increases, the user manages There is a problem with exceeding the limit of what can be done.

Therefore, there is an increasing need for a function that automatically recommends a rule set format suitable for a changed situation so that the rule set format can be uniformly and effectively updated.

The present disclosure provides an electronic device that automatically recommends a rule set format suitable for a changed situation in order to manage a rule set format for diagnosing at least one component included in an external device, and an operating method thereof.

The technical problems to be achieved by the present invention are not limited to the above-mentioned technical problems, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below. There will be.

An electronic device according to an embodiment includes a memory for storing one or more instructions and a processor for executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions, thereby performing at least one included in the external device. When the need to update the rule set format for diagnosing one component is detected, a temporary rule set format is created, the generated temporary rule set format is compared with at least one rule set format stored in the database, and the comparison Based on the result, at least one rule set format similar to the temporary rule set format among the at least one rule set format stored in the database according to a predetermined criterion may be recommended as a new rule set format for the external device. .

According to an embodiment, the processor updates the selected rule set format to a new rule set format for the external device when one of the recommended rule set formats is selected by a user by executing the one or more instructions. And, if there is no rule set format selected by the user among the recommended rule set formats, the temporary rule set format may be registered as a new rule set format for the external device.

When registering the temporary rule set format as a new rule set format for the external device by executing the one or more instructions, the processor according to an embodiment compares the new rule set format with the previous rule set format, Contents of change may be checked, another rule set format in which a change similar to the content of the change has occurred may be searched, and the searched other rule set format may be recommended as a rule set format in which the need for update is detected.

The comparison between the generated temporary rule set format and at least one rule set format stored in the database according to an embodiment may be a string comparison.

Comparison of the generated temporary rule set format with at least one rule set format stored in the database according to an embodiment is based on at least one of device information of the external device, installation environment information, operating environment information, or use type information. can be compared to

The processor according to an embodiment executes the one or more instructions, and, from a result of comparing the generated temporary rule set format with at least one rule set format stored in the database, among the rule set formats stored in the database, the temporary rule set format is selected. Using a neural network learned to recommend at least one rule set format similar to the rule set format, among the rule set formats stored in the database, at least one rule set format similar to the temporary rule set format for the external device It can be recommended as a new ruleset format.

According to an embodiment, the need to update the rule set format may be detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device is equal to or greater than a predetermined number of times.

According to an embodiment, the temporary rule set format is generated to solve an error in the failure diagnosis by reflecting a change in at least one of device information, installation environment information, operating environment information, and use type information of the external device. It can be.

According to an embodiment, the predetermined criterion may be manually set by a user or automatically set by the electronic device.

The processor according to an embodiment may store a change history of a rule set format for the external device by executing the one or more instructions.

An operating method of an electronic device according to an embodiment includes generating a temporary rule set format when a need to update a rule set format for diagnosing at least one component included in an external device is detected, the generated temporary rule Comparing a set format with at least one rule set format stored in a database, and based on the comparison result, among at least one rule set format stored in the database according to a predetermined criterion, at least one similar to the temporary rule set format It may include recommending a rule set format of as a new rule set format for the external device.

An operating method of an electronic device according to an embodiment includes, when one of the recommended rule set formats is selected by a user, updating the selected rule set format to a new rule set format for the external device, and The method may further include registering the temporary rule set format as a new rule set format for the external device when there is no rule set format selected by the user among the set formats.

An operating method of an electronic device according to an embodiment includes, when registering a temporary rule set format as a new rule set format for the external device, comparing the new rule set format with a previous rule set format to confirm changes. The method may further include searching for another rule set format in which a change similar to the change content has occurred, and recommending the searched other rule set format as a rule set format in which the need for update is detected.

The comparison between the generated temporary rule set format and at least one rule set format stored in the database according to an embodiment may be a string comparison.

Comparison of the generated temporary rule set format with at least one rule set format stored in the database according to an embodiment is based on at least one of device information of the external device, installation environment information, operating environment information, or use type information. can be compared to

The recommending step according to an embodiment may include, from a result of comparing the generated temporary rule set format and at least one rule set format stored in the database, among the rule set formats stored in the database, rules similar to the temporary rule set format. Using a neural network learned to recommend at least one rule set format, among the rule set formats stored in the database, at least one rule set format similar to the temporary rule set format as a new rule set format for the external device Recommendations may be included.

According to an embodiment, the need to update the rule set format may be detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device is equal to or greater than a predetermined number of times.

According to an embodiment, the temporary rule set format is generated to solve an error in the failure diagnosis by reflecting a change in at least one of device information, installation environment information, operating environment information, and use type information of the external device. It can be.

The operating method of the electronic device according to an embodiment may further include storing a change history of a rule set format of the external device.

According to an embodiment, when a need to update a rule set format for diagnosing at least one component included in an external device is detected on a computer-readable recording medium, generating a temporary rule set format, the generated temporary Comparing a rule set format with at least one rule set format stored in a database, and based on the comparison result, at least one rule similar to the temporary rule set format among rule set formats stored in the database according to a predetermined criterion It may be a computer-readable recording medium on which a program for implementing a method of operating an electronic device, including the step of recommending a set format as a new rule set format for the external device, is recorded.

An electronic device and method of operating the same according to an embodiment, in a rule set format for diagnosing at least one component included in an external device, by automatically recommending a rule set format suitable for a changed situation, thereby preventing duplicated rule set formats. It suppresses the generation of and lowers the possibility of human error so that the rule set format can be effectively managed.

1 is a diagram illustrating an example in which an electronic device according to an embodiment of the present disclosure operates.
2 is a diagram illustrating an example of contents of a rule set format according to an embodiment of the present disclosure.
3A is a block diagram showing the configuration of an electronic device according to an embodiment of the present disclosure.
3B is a block diagram showing the configuration of an external device according to an embodiment of the present disclosure.
4 is a flowchart illustrating a method of operating an electronic device according to an embodiment of the present disclosure.
5 is a diagram illustrating an example of a rule set format according to an embodiment of the present disclosure.
6 is a diagram illustrating an example of string comparison of rule set formats according to an embodiment of the present disclosure.
7 is a flowchart illustrating an example of a method for recommending a rule set format using artificial intelligence by an electronic device according to an embodiment of the present disclosure.
8A is a diagram illustrating an example of a rule set format tree according to an embodiment of the present disclosure.
8B is a diagram illustrating another example of a rule set format tree according to an embodiment of the present disclosure.
9 is a diagram illustrating an example of a process of changing a rule set format tree according to an embodiment of the present disclosure.
10 is a diagram illustrating an example of a process of recommending a rule set format requiring similar update according to an update of a rule set format according to an embodiment of the present disclosure.
11 is a flowchart illustrating a method of operating an electronic device according to an embodiment of the present disclosure.
12 is a diagram illustrating an example of a system for managing an electronic device using a rule set format generated according to an embodiment of the present disclosure.
13 is a diagram illustrating an example of rule set data according to an embodiment of the present disclosure.
14 is a diagram illustrating an example of a system for managing an electronic device using a rule set format generated according to an embodiment of the present disclosure.

Hereinafter, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily implement the present disclosure with reference to the accompanying drawings. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

The terminology used in the present disclosure has been described as a general term currently used in consideration of the functions mentioned in the present disclosure, but it may mean various other terms depending on the intention or precedent of a person skilled in the art, the emergence of new technologies, and the like. can Therefore, the terms used in the present disclosure should not be interpreted only as the names of the terms, but should be interpreted based on the meanings of the terms and the contents throughout the present disclosure.

Also, terms used in the present disclosure are only used to describe specific embodiments and are not intended to limit the present disclosure.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. .

As used in this specification, particularly in the claims, "the" and similar designations may refer to both the singular and the plural. Further, unless there is a description that explicitly specifies the order of steps in describing a method according to the present disclosure, the recited steps may be performed in any suitable order. The present disclosure is not limited by the order of description of the described steps.

The appearances of phrases such as “in some embodiments” or “in one embodiment” in various places in this specification are not necessarily all referring to the same embodiment.

Some embodiments of the present disclosure may be represented as functional block structures and various processing steps. Some or all of these functional blocks may be implemented as a varying number of hardware and/or software components that perform specific functions. For example, functional blocks of the present disclosure may be implemented by one or more microprocessors or circuit configurations for a predetermined function. Also, for example, the functional blocks of this disclosure may be implemented in various programming or scripting languages. Functional blocks may be implemented as an algorithm running on one or more processors. In addition, the present disclosure may employ prior art for electronic environment setting, signal processing, and/or data processing. Terms such as “mechanism”, “element”, “means” and “composition” may be used broadly and are not limited to mechanical and physical configurations.

In addition, connecting lines or connecting members between components shown in the drawings are only examples of functional connections and/or physical or circuit connections. In an actual device, connections between components may be represented by various functional connections, physical connections, or circuit connections that can be replaced or added.

In addition, terms such as "...unit" and "module" described in the specification 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. .

Also, in the specification, the term “user” refers to a person who uses an electronic device to control a function or operation of an electronic device, and may include a viewer, an administrator, or an installer.

Hereinafter, the present disclosure will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example in which an electronic device operates according to an embodiment of the present disclosure.

As shown in FIG. 1 , the electronic device 100 of the present disclosure may be a computing device for managing the external device 200 by being connected to the external device 200 through a network or short-range communication. In one embodiment, the electronic device 100 may be a server for managing at least one external device 200, but this is only an example and may be implemented in various electronic devices.

For example, the electronic device 100 includes a super computer, a tablet PC, a laptop computer, a netbook computer, a tablet PC, a desktop, a personal digital assistant (PDA), a portable multimedia player (PMP), It may be implemented in various forms such as other home appliances.

As shown in FIG. 1 , the external device 200 managed by the electronic device 100 may be at least one of various digital signage products, but this is only an example and a digital signage product. It may be implemented in various other electronic devices. The external device 200 includes a tablet PC, a digital camera, a camcorder, a laptop computer, a netbook computer, a tablet PC, a desktop, an e-book reader, a video phone, a digital broadcasting terminal, and personal digital assistants (PDAs). ), portable multimedia player (PMP), navigation, MP3 player, wearable device, smart refrigerator, and other home appliances.

The external device 200 may be one or more devices and may be composed of similar product groups, but is not limited thereto and may include all types of electronic devices.

In particular, the embodiments are easily implemented when the external device 200 is a display device that includes a display, processes image data received from the outside or image data stored therein, and visually displays the processed image data. It may be, but is not limited thereto. In addition, the external device 200 may be a fixed type or a mobile type, and may be a digital broadcasting receiver capable of receiving digital broadcasting.

The external device 200 may be implemented not only as a flat display device, but also as a curved display device having a curvature or a flexible display device capable of adjusting the curvature. The output resolution of the external device 200 may include, for example, a resolution higher than high definition (HD), full HD, ultra HD, or ultra HD.

The external device 200 may be installed not only indoors, such as a subway station, shopping mall, movie theater, or company, but also outdoors, such as a building roof, a park, or a bus stop. The external device 200 is not limited by its installation location.

The electronic device 100 may be a device for managing a rule set format for diagnosing at least one component included in the external device 200 by being connected to the external device 200 through a network or short-range communication.

In the present disclosure, a rule set format includes device information, installation environment information, operating environment information, and use type information of the external device 200 in order to diagnose at least one component included in the external device 200. It may be that at least one decision criterion (rule) defining a condition when an abnormal situation occurs is recorded in a predetermined method based on .

In one embodiment, the rule set format 201 may further include a type or level of response measures for determining an abnormal situation. Details of the rule set format will be described later with reference to FIGS. 2 and 5 .

In the present disclosure, device information of the external device 200 includes hardware platform information such as Kant or Nike, software platform information such as Tizen 4.0 or Tizen 5.0, display product information such as LFD or LED, or product series information such as QMNN or OMN. may include at least one of them.

In the present disclosure, the installation environment information is at least one of information about the country where the external device 200 is installed, information about where it is installed indoors or outdoors, or information about the characteristics of an installation place such as a general restaurant, cafe, convenience store, department store, or bar. may contain one.

In the present disclosure, the operating environment information may include at least one of the current location of the external device 200, information about external temperature, information about external humidity, or weather where the external device 200 is installed.

In the present disclosure, the information on the usage type may include at least one of the total operation time of the external device 200 during the day, the average continuous operation time, the type of output content, the property of the output content, or the reception path of the output content.

When at least one of device information, installation environment information, operating environment information, or use type information of the external device 200 is changed, the electronic device 100 converts the external device 200 into an updated rule set format that reflects the change. ) should be managed.

In general, since one electronic device 100 manages a plurality of external devices 200, when rule set formats are separately managed for each external device, newly created rule set formats may overlap. That is, a rule set format with the same contents may be generated for each external device.

As the number of external devices 200 or the number of rule set formats increases, more resources are consumed for the electronic device 100 to manage rule set formats, and duplicate rule set formats increase exponentially, resulting in efficient management. It can get difficult.

Conventionally, generation of duplicate rule set formats could be suppressed to the extent that a user memorizes or to the extent that a user can search. However, this method has a problem in that the efficiency of rule set format management may vary depending on the user's memory or search ability.

An electronic device 100 and a method of operating the electronic device according to the present disclosure provide a rule set format similar to a rule set format to be created by integrating and searching rule set formats for a plurality of external devices 200 so as to minimize redundant rule set formats. By recommending an existing rule set format, it is possible to effectively suppress generation of a duplicate rule set format.

Details of a method of integrating and managing rule set formats for a plurality of external devices 200 will be described later with reference to FIGS. 4 and 11 .

2 is a diagram illustrating an example of contents of a rule set format according to an embodiment of the present disclosure.

FIG. 2 shows the contents of the rule set format as a table for explanation, and the actual rule set format may be stored in a predetermined format as shown in FIG. 5 .

The rule set format is based on device information, installation environment information, operating environment information, and usage type information of the external device 200 in order to diagnose at least one component included in the external device 200. It may be that at least one decision criterion (rule) defining a condition when an abnormal situation occurs is recorded in a predetermined method.

At least one decision criterion defining a condition when an abnormal situation occurs is a rule on an error in receiving content of the external device 200, a rule on the internal temperature of the external device 200, and a rule on the external device 200. It may include rules for internal humidity, rules for errors in image display, and rules for errors in sound output.

As shown in FIG. 2 , the rule set format 201 may include a rule 205 for determining an error of the external device 200 in response to a connection error event of a high-definition multimedia interface terminal. According to these rules, the external device 200 can determine the occurrence of a problem with the high-definition multimedia interface terminal.

The external device 200 may stop outputting video based on content data and display a message indicating an abnormal operation of the external device 200 in response to determining that a problem occurs due to a connection error of a high-definition multimedia interface terminal.

The rule set format 201 may include rules 210 and 215 for determining an error of the external device 20 in response to an operation error event of graphics hardware or an operation error event of audio hardware. For example, the external device 200 may stop outputting an image based on content data in response to determining an error due to an operation error of graphics hardware or an operation error of audio hardware.

The rule set format 201 includes a rule for determining a warning for the external device 200 in response to the internal temperature of the external device 200 exceeding a first threshold temperature or the internal humidity exceeding the first threshold humidity ( 220, 225) may be included. The external device 200 may display a message indicating an abnormal operation of the external device 200 on one side of the screen while continuing to output an image based on content data in response to a warning determination based on the internal temperature or internal humidity. .

In one embodiment, the external device 200 may operate a fan of the cooling unit or increase a rotational speed of the fan to lower the internal temperature in response to the internal temperature exceeding the first threshold temperature.

In one embodiment, the external device 200 may operate a fan of the cooling unit or increase a rotational speed of the fan to lower the internal humidity in response to the internal humidity exceeding the first threshold temperature.

In one embodiment, the external device 200 may lower the amount of current supplied to the display panel in order to lower the internal temperature in response to the internal temperature exceeding the first threshold temperature. That is, the external device 200 may lower the brightness of an image displayed on the display panel in order to lower the internal temperature.

In one embodiment, the external device 200 may also perform an operation to lower the internal temperature before determining an abnormal operation. For example, when the internal temperature of the external device 200 is higher than the first threshold temperature, the external device 200 operates a fan or fan to lower the internal temperature of the external device 200 before determining an abnormal operation of the external device 200. rotation speed can be increased.

The rule set format 201 may include rules 230 and 235 for determining an error of the external device 200 in response to an operation error of graphic software or an operation error of audio software. The external device 200 may stop outputting video based on content data in response to an error determination due to an operation error of graphic software or an operation error of audio software.

The rule set format 201 may include a rule 240 for determining an error of the external device 200 in response to an infinite loop of software. For example, the external device 200 may stop outputting an image based on content data in response to determining an error by an infinite loop of software.

The rule set format 201 may be updated according to changes in device information, installation environment information, operating environment information, or use type information of the external device 200 .

For example, a rule regarding the internal temperature of the external device 200 may be changed according to the external temperature of the external device 200 . The first threshold temperature for determining whether to warn the external device 200 may be changed to the second threshold temperature depending on the increase in the external temperature of the external device 200 .

In one embodiment, the rule set format 201 may further include criteria for countermeasures for determining abnormal operation, types of countermeasures, or countermeasure levels.

The criterion for a response action for determining the abnormal operation, the type of response action, or the response level may be changed according to device information, installation environment information, operating environment information, or use type information of the external device 200 .

For example, the corresponding level for the internal temperature of the external device 200 may be changed from a warning to an error depending on an increase in the external temperature of the external device 200 .

3A is a block diagram showing the configuration of an electronic device according to an embodiment of the present disclosure.

Referring to FIG. 3A , the electronic device 100 may include a processor 110 and a memory 120.

The memory 120 may store programs for processing and controlling the processor 110 . Also, the memory 120 may store data input to or output from the electronic device 100 .

The memory 120 may be a flash memory type, a hard disk type, a multimedia card micro type, 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), magnetic memory, magnetic disk , an optical disk, and at least one type of storage medium.

The memory 120 may store one or more instructions executable by the processor 110 .

In one embodiment, the memory 120 may store various types of information input through an input/output unit (not shown).

In one embodiment, the memory 120 detects the need to update the rule set format for diagnosing at least one component included in the external device 200, and if the need to update the rule set format is detected, a temporary A rule set format is generated, the generated temporary rule set format is compared with at least one rule set format stored in the database, and based on the comparison result, among the at least one rule set format stored in the database according to a predetermined criterion, the temporary rule set format is selected. An instruction for controlling to recommend at least one rule set format similar to the rule set format as a new rule set format for the external device 200 may be stored.

The processor 110 may execute an operation system (OS) and various applications stored in the memory 120 when there is a user's input or when a pre-set and stored condition is satisfied.

The processor 110 stores signals or data input from the outside of the electronic device 100, or RAM used as a storage area corresponding to various tasks performed in the electronic device 100, the electronic device 100 It may include a ROM in which a control program for controlling is stored.

The processor 110 may include a single core, a dual core, a triple core, a quad core, and multiple cores thereof. Also, the processor 110 may include a plurality of processors. For example, the processor 110 may be implemented as a main processor (not shown) and a sub processor (not shown) operating in a sleep mode.

Also, the processor 110 may include at least one of a Central Processing Unit (CPU), a Graphic Processing Unit (GPU), and a Video Processing Unit (VPU). Alternatively, according to embodiments, it may be implemented in the form of a System On Chip (SOC) in which at least one of a CPU, a GPU, and a VPU is integrated.

The processor 110 may control various elements of the electronic device 100 by executing one or more instructions stored in the memory 120 .

In one embodiment, the processor 110 may generate a temporary rule set format when the need to update the rule set format for diagnosing at least one component included in the external device 200 is detected.

In one embodiment, the processor 110 may compare the generated temporary rule set format with at least one rule set format stored in the database. Based on the comparison result, the processor 110 converts at least one rule set format similar to the temporary rule set format among the at least one rule set format stored in the database according to a predetermined criterion into a new rule set for the external device 200. format can be recommended.

In one embodiment, the database may be built in a storage device inside the electronic device 100 .

In another embodiment, the database is built in a storage device external to the electronic device 100 but may be accessible by the electronic device 100 .

In another embodiment, the database may mean that a part of the database is built in a storage device inside the electronic device 100 and a part is built in a storage device outside the electronic device 100, but the electronic device 100 can access it. .

In one embodiment, the database may be divided and stored in a plurality of storage devices.

In one embodiment, when one of the recommended rule set formats is selected by the user, the processor 110 updates the selected rule set format to a new rule set format for the external device 200, and among the recommended rule set formats When there is no rule set format selected by the user, the temporary rule set format may be registered as a new rule set format for an external device.

In one embodiment, when the temporary rule set format is generated as a new rule set format for the external device 200, the processor 110 compares the new rule set format with the previous rule set format to check the change, and It is possible to search for other rule sets in which changes similar to the content have occurred, and to recommend the searched rule set format as a rule set format in which the need for update is detected.

3B is a block diagram showing the configuration of an external device 200 according to an embodiment of the present disclosure.

The external device 200 of FIG. 3B may be an example of an external device managed by the electronic device 100 shown in FIGS. 1 and 3A .

Referring to FIG. 3B , the external device 200 includes a tuner unit 340, a processor 310, a display 320, a communication unit 350, a sensor unit 330, an input/output unit 370, and a video processing unit. 380, an audio processing unit 385, an audio output unit 390, a memory 325, and a power supply unit 395.

The communication unit 350 according to an embodiment may include a Wi-Fi module, a Bluetooth module, an infrared communication module, a wireless communication module, a LAN module, an Ethernet module, a wired communication module, and the like. At this time, each communication module may be implemented in the form of at least one hardware chip.

The Wi-Fi module and the Bluetooth module perform communication using the Wi-Fi method and the Bluetooth method, respectively. In the case of using a Wi-Fi module or a Bluetooth module, various connection information such as an SSID and a session key is first transmitted and received, and various kinds of information can be transmitted and received after communication is connected using the same. Wireless communication modules include Zigbee, 3rd Generation (3G), 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), LTE Advanced (LTE-A), 4th Generation (4G), 5th Generation (5G), etc. It may include at least one communication chip that performs communication according to various wireless communication standards.

The communication unit 350 according to an embodiment may receive a rule set format from the electronic device 100 . The communication unit 350 according to an embodiment may generate rule set data corresponding to the rule set format by applying the rule set format to the external device 200 and transmit the generated rule set data to the electronic device 100 . Details regarding this will be described later with reference to FIG. 12 .

The tuner unit 340 according to an embodiment is configured to receive a broadcast signal received by wire or wirelessly in the broadcast reception device 100 among many radio wave components through amplification, mixing, resonance, and the like. You can select by tuning only the frequency of the desired channel. The broadcast signal includes audio, video, and additional information (eg, Electronic Program Guide (EPG)).

The tuner unit 340 may receive broadcast signals from various sources such as terrestrial broadcasting, cable broadcasting, satellite broadcasting, and Internet broadcasting. The tuner unit 340 may receive a broadcasting signal from a source such as analog broadcasting or digital broadcasting.

The sensor unit 330 detects a voice around the external device 200, an image around the external device 200, or an interaction with the external device 200, and the microphone 331, the camera 332 and the light receiver ( 333). The sensor unit 330 may detect a state of the external device 200 or a state around the external device 200 and transmit the sensed information to the processor 310 .

The microphone 331 receives a user's utterance and a voice generated around the external device 200 . The microphone 331 may convert the received voice into an electrical signal and output it to the processor 310 . The microphone 331 may use various noise cancellation algorithms for removing noise generated in the process of receiving an external sound signal.

The camera 332 can obtain an image frame such as a still image or a moving image. Images captured through the image sensor may be processed through the processor 310 or a separate image processing unit (not shown).

The image frames processed by the camera 332 may be stored in the memory 325 or transmitted to the outside through the communication unit 350 . Two or more cameras 332 may be provided according to configuration aspects of the electronic device 100 .

The light receiving unit 333 receives an optical signal (including a control signal) received from an external remote control device (not shown). The light receiving unit 333 may receive an optical signal corresponding to a user input (eg, touch, pressure, touch gesture, voice, or motion) from a remote control device (not shown). A control signal may be extracted from the received optical signal under the control of the processor 310 . For example, the light receiving unit 333 may receive a control signal corresponding to a channel up/down button for channel switching from a remote control device (not shown).

The sensor unit 330 of FIG. 3B is illustrated as including a microphone 331, a camera 332, and a light receiving unit 333, but is not limited thereto, and includes a magnetic sensor and an acceleration sensor. ), a temperature / humidity sensor, an infrared sensor, a gyroscope sensor, a location sensor (eg, GPS), an air pressure sensor, a proximity sensor, an RGB sensor, an illuminance sensor, and a Wi-Fi signal receiver. However, it is not limited thereto. Since a person skilled in the art can intuitively infer the function of each sensor from its name, a detailed description thereof will be omitted.

Although the sensor unit 330 of FIG. 3B is shown as being provided in the external device 200 itself, it is not limited thereto, and is located independently of the external device 200 such as a remote controller and communicates with the external device 200. It may be provided in a control device that is a device.

If the control device of the external device 200 includes the sensing unit 330 , the control device may digitize information sensed by the sensing unit 330 and transmit it to the external device 200 . The control device may communicate with the external device 200 using short-range communication including infrared, Wi-Fi, or Bluetooth.

For example, the microphone may be included in the external device 200 itself, but may also be included in a control device that is located independently of the external device 200 and communicates with the external device 200, such as a remote controller.

In one embodiment, when a microphone is provided in the remote control, an analog voice signal is received through the microphone, digitized by the remote control, and transmitted to the TV. In this case, the remote control may communicate with the electronic device 100 using short-range communication including infrared, Wi-Fi, or Bluetooth.

In one embodiment, the external device 200 may include a plurality of communication units 350 capable of various short-distance communication including infrared, Wi-Fi, or Bluetooth.

In one embodiment, the external device 200 may include a plurality of communication units 350 that are different from each other in a communication unit communicating with the electronic device 100 and a communication unit communicating with the remote controller.

In one embodiment, the external device 200 may include a communication unit 350 that communicates with the electronic device 100 and a communication unit that communicates with the remote control.

In one embodiment, a device such as a smartphone with a remote control application installed may perform the same role as the remote control described above. That is, a device on which the remote control application is installed can control an external device 200 such as a TV and perform a voice recognition function.

A device to which a remote control application may be installed may be any device capable of operating by installing an application, such as an AI speaker, in addition to a smart phone.

The input/output unit 370 provides video (eg, motion pictures, etc.), audio (eg, voice, music, etc.) and additional information (eg, video) from the outside of the external device 200 under the control of the processor 310. For example, EPG, etc.) and the like are received. The input/output unit 370 includes High-Definition Multimedia Interface (HDMI), Mobile High-Definition Link (MHL), Universal Serial Bus (USB), Display Port (DP), Thunderbolt, and Video Graphics Array (VGA). ) port, RGB port, D-subminiature (D-SUB), digital visual interface (DVI), component jack, and PC port.

The video processing unit 380 processes video data received by the external device 200 . The video processing unit 380 may perform various image processing such as decoding, scaling, noise filtering, frame rate conversion, and resolution conversion on video data.

The display 320 generates driving signals by converting image signals, data signals, OSD signals, and control signals processed by the processor 310 . The display 320 may be implemented as a PDP, LCD, OLED, flexible display, or the like, and may also be implemented as a 3D display. Also, the display 320 may be configured as a touch screen and used as an input device other than an output device.

The display 320 may output various contents input through a communication unit (not shown) or the input/output unit 370 or output images stored in the memory 325 . Also, the display 320 may output information input by a user through the input/output unit 370 on the screen.

The display 320 may include a display panel. The display panel may be a liquid crystal display (LCD) panel or a panel including various light emitting bodies such as light emitting diodes (LEDs), organic light emitting diodes (OLEDs), and cold cathode fluorescent lamps (CCFLs). Also, the display panel may include not only a flat display device, but also a curved display device that is a screen having a curvature or a flexible display device capable of adjusting the curvature. The display panel may be a 3D display or an electrophoretic display.

The output resolution of the display panel may include, for example, high definition (HD), full HD, ultra HD, or a resolution sharper than Ultra HD.

In the embodiment of FIG. 3B , the external device 200 is illustrated as including a display, but is not limited thereto. The external device 200 may be connected to a separate display device including a display through wired/wireless communication and transmit video/audio signals to the display device.

The audio processor 385 processes audio data. The audio processor 385 may perform various processes such as decoding or amplifying audio data and filtering noise. Meanwhile, the audio processing unit 385 may include a plurality of audio processing modules to process audio corresponding to a plurality of contents.

The audio output unit 390 outputs audio included in the broadcast signal received through the tuner unit 340 under the control of the processor 310 . The audio output unit 390 may output audio (eg, voice, sound) input through the communication unit 350 or the input/output unit 370 . Also, the audio output unit 390 may output audio stored in the memory 325 under the control of the processor 310 . The audio output unit 390 may include at least one of a speaker, a headphone output terminal, or a Sony/Philips Digital Interface (S/PDIF) output terminal.

The power supply unit 395 supplies power input from an external power source to components inside the electronic device 100 under the control of the processor 310 . In addition, the power supply unit 395 may supply power output from one or more batteries (not shown) located inside the electronic device 100 to internal components under the control of the processor 310 .

The memory 325 may store various data, programs, or applications for driving and controlling the external device 200 under the control of the processor 310 . The memory 325 includes a broadcast reception module (not shown), a channel control module, a volume control module, a communication control module, a voice recognition module, a motion recognition module, an optical reception module, a display control module, an audio control module, an external input control module, and a power supply. It may include a control module, a power control module of an external device connected wirelessly (eg, Bluetooth), a voice database (DB), or a motion database (DB). Modules not shown and the database of the memory 325 include a broadcast reception control function, a channel control function, a volume control function, a communication control function, a voice recognition function, a motion recognition function, and a light reception control function in the external device 200. , A display control function, an audio control function, an external input control function, a power control function, or a power control function of an external device connected wirelessly (eg, Bluetooth) may be implemented in the form of software. The processor 310 may perform each function using these software stored in the memory 325 .

Meanwhile, the block diagrams of the electronic device 100 and the external device 200 shown in FIGS. 3A and 3B are block diagrams for one embodiment. Each component of the block diagram may be integrated, added, or omitted according to specifications of an actual device. That is, if necessary, two or more components may be combined into one component, or one component may be subdivided into two or more components. In addition, the functions performed in each block are for explaining the embodiments, and the specific operation or device does not limit the scope of the present invention.

4 is a flowchart illustrating a method of operating an electronic device according to an embodiment of the present disclosure.

Referring to FIG. 4 , the electronic device 100 may create a temporary rule set format when a need to update the rule set format for diagnosing at least one component included in the external device 200 is detected ( S410).

In an embodiment, the need to update the rule set format may be detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device 200 is greater than or equal to a predetermined number of times. For example, when the software of the external device 200 has a specific version, failure diagnosis errors may continuously occur. For another example, when the installation location of the external device 200 is a specific location on the GPS, a failure diagnosis error may continuously occur.

The electronic device 100 may determine that it is necessary to update the rule set format when it is detected that the number of failure diagnosis errors of the external device 200 exceeds a predetermined number. In this case, the predetermined number of times may be a number previously designated by a user or a number automatically set by the system.

In the present disclosure, the temporary rule set format is newly generated by reflecting a change in at least one of device information, installation environment information, operating environment information, or usage type information of the external device 200, but in the version management system of the rule set format It may mean a rule set format that has not been registered as a rule set format of a new version.

The temporary rule set format may be generated to solve an error in fault diagnosis by reflecting a change in at least one of device information, installation environment information, operating environment information, or use type information of the external device 200 .

The electronic device 100 may compare the generated temporary rule set format with at least one rule set format stored in the database (S420).

The electronic device 100 may store a change history of a rule set format for at least one external device 200 in a database. The electronic device 100 may compare at least one rule set format pre-stored in the database with the temporary rule set format generated in step S410.

In one embodiment, the comparison between at least one rule set format stored in the database and the temporary rule set format may be a string comparison. String comparison will be described in detail with reference to FIG. 6 .

In another embodiment, the comparison between at least one rule set format stored in the database and the temporary rule set format is performed by comparing at least one of device information, installation environment information, operating environment information, or usage type information of the external device 200 can be

In an embodiment, the electronic device 100 may collect and use results of comparing at least one rule set format stored in the database with a temporary rule set format by a plurality of methods.

Based on the comparison result, the electronic device 100 converts at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database according to a predetermined criterion into a new rule set format for the external device 200. It can be recommended (S430).

When the electronic device 100 compares the temporary rule set format with at least one rule set format stored in the database and finds a rule set format stored in the database that is similar to the temporary rule set format by more than a predetermined criterion, the temporary rule set format A rule set format stored in the database that is similar to or more than a predetermined criterion may be recommended as a new rule set format for the external device 200 .

In this case, the predetermined criterion may be a criterion manually set by a user or automatically set by the electronic device 100 . For example, a predetermined criterion may be a case in which string comparison results are similar by 80% or more. For another example, the predetermined criterion is that the number of different elements among the device information, installation environment information, operating environment information, or usage type information of the external device 200 is less than or equal to a predetermined number, or the content of the different elements is 80%. may not be exceeded. However, this is just an example and the predetermined criterion is not limited thereto and may be set in various ways.

In an embodiment, the electronic device 100 may recommend a rule set format stored in a database that is similar to the temporary rule set format by a predetermined standard or more as a new rule set format for the external device 200 through a user interface.

In an embodiment, the electronic device 100 selects at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database from a result of comparing the temporary rule set format with the at least one rule set format stored in the database. At least one rule set format similar to the temporary rule set format among the rule set formats stored in the database may be recommended as a new rule set format for the external device 200 by using a neural network learned to recommend. Details regarding this will be described later with reference to FIG. 7 .

In an embodiment, the electronic device 100 may receive a user input for selecting one of the recommended rule set formats through a user interface.

In the present disclosure, a user may be a user of the electronic device 100 and a manager who manages at least one external device 200 .

When one of the recommended rule set formats is selected by the user, the electronic device 100 may update the selected rule set format to a new rule set format for the external device. In this case, the electronic device 100 may prevent duplicate creation of unnecessary rule set formats by utilizing a similar existing rule set format without generating a new rule set format. In this case, the temporary rule set format may be deleted.

When there is no rule set format selected by the user among the recommended rule set formats, the electronic device 100 may register the temporary rule set format as a new rule set format for the external device 200 .

5 is a diagram illustrating an example of a rule set format according to an embodiment of the present disclosure.

2 is a table of contents of a rule set format for explanation, and an actual rule set format can be stored as shown in FIG. 5 .

In the embodiment of FIG. 5 , the predetermined form may be an XML (eXtensible Markup Language) form. However, the predetermined format is not limited to the XML format, and may be described in various formats.

In order to diagnose at least one component included in the external device 200, the rule set format 501 is abnormal based on device information, installation environment information, operating environment information, and usage type information of the external device 200. At least one rule defining a condition when a situation occurs may be described in XML.

In one embodiment, the rule set format 501 may be a description of the content described in FIG. 2 in XML.

6 is a diagram illustrating an example of string comparison of rule set formats according to an embodiment of the present disclosure.

The electronic device 100 is a temporary rule set format created to solve errors in fault diagnosis by reflecting changes in at least one of device information, installation environment information, operating environment information, or use type information of the external device 100 610 and at least one rule set format 620 stored in the database may be compared.

In one embodiment, the comparison between the temporary rule set format 610 and at least one rule set format 620 stored in the database may be a string comparison. String comparison can be a comparison against XML strings.

As shown in FIG. 6 , the electronic device 100 may compare the temporary rule set format 610 with a string of at least one rule set format 620 stored in the database.

As a result of comparison, there may be a difference between the temporary rule set format 610 and at least one rule set format 620 stored in the database by an underlined portion.

According to the degree of difference, the electronic device 100 converts a predetermined number of rule set formats most similar to the temporary rule set format 610 among at least one rule set format 620 stored in the database into a new rule for the external device 200. It can be recommended as a candidate for the set format.

When the at least one recommended rule set format is selected by the user, it may be updated to a new rule set format of the external device 200 .

When at least one recommended rule set format is selected by the user, the temporary rule set format may be deleted to prevent duplicate rule set formats from being stored.

7 is a flowchart illustrating an example of a method of recommending a rule set format using artificial intelligence by an electronic device according to an embodiment of the present disclosure.

In an embodiment, the electronic device 100 selects at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database from a result of comparing the temporary rule set format with the at least one rule set format stored in the database. At least one rule set format similar to the temporary rule set format among the rule set formats stored in the database may be recommended as a new rule set format for an external device by using a neural network learned to recommend.

Artificial intelligence is a computer system that implements human-level intelligence, and is a system in which machines learn and judge on their own, and the recognition rate improves as they are used. Artificial intelligence technology consists of machine learning (deep learning) technology using an algorithm that classifies/learns the characteristics of input data by itself, and elemental technologies that mimic functions such as recognition and judgment of the human brain using machine learning algorithms.

For example, element technologies include linguistic understanding technology that recognizes human language/characters, visual understanding technology that recognizes objects as human eyes, reasoning/prediction technology that logically infers and predicts information by judging information, and human experience. It may include at least one of a knowledge expression technology for processing information into knowledge data and a motion control technology for controlling autonomous driving of a vehicle and movement of a robot.

Functions related to artificial intelligence according to the present disclosure are operated through the processor 110 and the memory 120. Processor 110 may be composed of one or a plurality of processors. In this case, the one or more processors may be a general-purpose processor such as a CPU, an AP, or a digital signal processor (DSP), a graphics-only processor such as a GPU or a vision processing unit (VPU), or an artificial intelligence-only processor such as an NPU. One or more processors 110 control input data to be processed according to predefined operating rules or artificial intelligence models stored in the memory 120 . Alternatively, when one or more processors 110 are processors dedicated to artificial intelligence, the processors dedicated to artificial intelligence may be designed as a hardware structure specialized for processing a specific artificial intelligence model.

A predefined action rule or an artificial intelligence model is characterized in that it is created through learning. Here, being made through learning means that a basic artificial intelligence model is learned using a plurality of learning data by a learning algorithm, so that a predefined action rule or artificial intelligence model set to perform a desired characteristic (or purpose) is created. means burden. Such learning may be performed in the electronic device 100 itself where artificial intelligence according to the present disclosure is performed, or through a separate server 200 and/or system. Examples of learning algorithms include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the above examples.

An artificial intelligence model may be composed of a plurality of neural network layers. Each of the plurality of neural network layers has a plurality of weight values, and a neural network operation is performed through an operation between an operation result of a previous layer and a plurality of weight values. A plurality of weights possessed by a plurality of neural network layers may be optimized by a learning result of an artificial intelligence model. For example, a plurality of weights may be updated so that a loss value or a cost value obtained from an artificial intelligence model is reduced or minimized during a learning process.

In an embodiment using a deep learning algorithm, the processor 110 uses a pre-trained deep neural network 710 to determine at least one rule set format and a temporary rule set format stored in a database. Based on the comparison result, among the rule set formats stored in the database, at least one rule set format similar to the temporary rule set format may be recommended. The pre-learned deep neural network model 710 takes the result of comparing the temporary rule set format with at least one rule set format stored in the database as an input value, and at least one rule set format similar to the temporary rule set format as an output value It may be an artificial intelligence model trained through learning.

The deep neural network model may be, for example, a Convolutional Neural Network (CNN). However, it is not limited thereto, and deep neural network models include Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Bidirectional Recurrent Deep Neural Network (BRDNN), and Deep Neural Network (BRDNN). It may be a known artificial intelligence model including at least one of Q-Networks (Deep Q-Networks).

The electronic device 100 may implement various methods of comparing at least one rule set format stored in the database with the temporary rule set format using various algorithms.

The electronic device 100 may recommend at least one rule set format similar to the temporary rule set format using various algorithms according to the comparison result.

8A and 8B are diagrams each illustrating an example of a rule set format tree according to an embodiment of the present disclosure.

In the present disclosure, the rule set format tree may be a version management system that stores a change history of a rule set format for at least one external device 200 .

8A and 8B may be rule set format trees storing change histories of rule set formats for different external devices 200, respectively.

In one embodiment, FIG. 8A may be a rule set format tree for an external device 200 using an LFD display product, a product series of OMN, and using Kant as a hardware platform.

In one embodiment, FIG. 8B may be a rule set format tree for an external device 200 using an LFD display product, a product series of QMNN, and using Kant as a hardware platform.

The rule set format tree of FIGS. 8A and 8B may be stored in a database accessible by the electronic device 100 .

The rule set format tree of FIG. 8A starts with version LFD OMN KANT-M2E V1.01.00.001, then LFD OMN KANT-M2E V1.01. 01 .002 version (810) etc. LFD OMN KANT-M2E V1. You can have the change history updated to 07.00.012 (820).

The rule set format tree of FIG. 8B starts with LFD QMNN KANT-M2E V1.01.00.001 version, goes through LFD QMNN KANT-M2E V1.01.01.002 version, etc., and then LFD QMNN KANT-M2E V1.12.00.020 version (830 ), LFD QMNN KANT-M2E V1.12.01.021 may have an updated change history in the order of version.

The LFD QMNN KANT-M2E V1.12.00.020#AA_1.00 version 840 of FIG. 8B may be a rule set format of a special version created to apply a specific rule used only for company AA.

The rule set format currently used for the external device 200 managed by the rule set format tree of FIG. 8A is the latest version, LFD OMN KANT-M2E V1. It may be 07.00.012 (820).

When the need to update the rule set format is detected for the external device 200 managed by the rule set format tree of FIG. 8A, the electronic device 100 may create a temporary rule set format.

In an embodiment, the need to update the rule set format may be detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device exceeds a predetermined number of times. In this regard, contents overlapping with those described in FIG. 4 will be omitted.

The electronic device 100 may compare the generated temporary rule set format with at least one rule set format stored in the database.

At this time, at least one rule set format stored in the database to be compared with the temporary rule set format is LFD OMN KANT-M2E V1. It can mean all rule set formats except for 07.00.012 (820).

In one embodiment, at least one rule set format stored in the database compared with the temporary rule set format may mean only a rule set format of a version used within a predetermined period. That is, the electronic device 100 may exclude a rule set format of an old version from the comparison target.

The range of at least one rule set format stored in the database to be compared with the temporary rule set format may be freely adjusted according to settings.

Comparison between at least one rule set format stored in the database and the generated temporary rule set format may be performed in various ways.

For example, comparison between at least one rule set format stored in the database and the generated temporary rule set format may be performed using a string comparison method.

For example, the comparison between at least one rule set format stored in the database and the generated temporary rule set format may be performed for at least one of device information, installation environment information, operating environment information, and use type information of the external device 200. This can be done in a comparative way.

In an embodiment, as a result of comparing at least one rule set format stored in the database with the generated temporary rule set format, the electronic device 100 determines, among the rule set formats stored in the database according to a predetermined criterion, the temporary rule set format and the temporary rule set format. LFD QMNN KANT-M2E V1.12.00.020 version 830 and LFD QMNN KANT-M2E V1.12.00.020#AA_1.00 version 840 can be recommended as a similar rule set format.

In one embodiment, the electronic device 100 transmits LFD QMNN KANT-M2E V1.12.00.020 version 830 and LFD QMNN KANT-M2E V1.12.00.020#AA_1.00 version 840 through a user interface. It can be displayed as a recommended list.

In one embodiment, the electronic device 100 is configured by a user to select among LFD QMNN KANT-M2E V1.12.00.020 version 830 and LFD QMNN KANT-M2E V1.12.00.020#AA_1.00 version 840. A user input for selecting the KANT-M2E V1.12.00.020 version 830 may be received.

In this case, the electronic device 100 deletes the generated temporary rule set format, and converts LFD QMNN KANT-M2E V1.12.00.020 (830) to LFD OMN KANT-M2E V1. 07.00.012 (820) The rule set format tree of FIG. 8A may be updated with the next version of the rule set format (850).

In one embodiment, the electronic device 100 does not select either LFD QMNN KANT-M2E V1.12.00.020 version 830 or LFD QMNN KANT-M2E V1.12.00.020#AA_1.00 version 840. User input can be received.

In this case, the electronic device 100 converts the generated temporary rule set format into a currently used rule set format, LFD OMN KANT-M2E V1. 07.00.012 (820) It is possible to update the rule set format tree of FIG. 8A by registering and storing the rule set format 850 of the next version.

9 is a diagram illustrating an example of a process of changing a rule set format tree according to an embodiment of the present disclosure.

9 may be a rule set format tree for an external device 200 using an LFD display product, a product series of QMNN, and using Kant as a hardware platform.

The rule set format tree of FIG. 9 starts with version LFD QMNN KANT-M2E V1.01.00.001, goes through version LFD QMNN KANT-M2E V1.01.01.002 and version LFD QMNN KANT-M2E V1.01.01.003, and continues through version LFD QMNN. It may be updated to version KANT-M2E V1.01.01.004. In this case, the rule set formats of the new version may be newly created rule set formats.

On the other hand, the rule set format of LFD QMNN KANT-M2E V1.02.00.005 version (910) does not create a new rule set format, but among the previously used rule set formats, LFD QMNN KANT-M2E V1.01.01.002#AA_2 You may have selected the .00 version and merged it into the LFD QMNN KANT-M2E V1.02.00.005 version.

Conventionally, since the electronic device 100 does not have a function for recommending whether or not there is a rule set format similar to the rule set format to be newly created among existing rule set formats, whether there is a rule set format similar to the rule set format to be newly created among the existing rule set formats had to be determined according to the user's memory or retrieval ability. Therefore, the method of managing the rule set format may not be constant according to the user.

According to the present disclosure, the electronic device 100 recommends whether or not there is a rule set format similar to a rule set format to be newly created among existing rule set formats, thereby enabling easy and efficient rule set format management.

10 is a diagram illustrating an example of a process of recommending a rule set format requiring similar update according to an update of a rule set format according to an embodiment of the present disclosure.

In FIG. 10, the electronic device 100 uses an LFD display product, the product series is OMN, and a first rule set format tree 1010 for at least one external device using Kant as a hardware platform, LFD display product , the series of products is QMNN, the second rule set format tree 1020 for at least one external device using Kant as a hardware platform, and the LFD display product, the series of products is QMNN, and the hardware A third rule set format tree 1030 for at least one external device using Kant as a platform may be managed.

The electronic device 100 may detect that the number of occurrences of failure diagnosis errors in one of the external devices managed by the first rule set format tree 1010 exceeds a predetermined number of times.

The electronic device 100 reflects a change in at least one of device information, installation environment information, operating environment information, and use type information of an external device managed by the first rule set format tree 1010 to generate LFD OMN KANT- M2E V1.07.01.013 (1040) can be created in a new rule set format.

In the electronic device 100, a change in at least one of device information, installation environment information, operating environment information, or usage type information occurring in an external device managed by the first rule set format tree 1010 is the same or similar. You can search for other external devices that have occurred. That is, the electronic device 100 may search for another external device that occurs the same as or similar to the change in the external device 200 that causes the rule set format update for the first rule set format tree 1010 .

The electronic device 100 may recommend the second rule set format tree 1020 and the third rule set format tree 1030 as rule set format trees used by the searched external devices as rule set format trees that need to be updated.

The electronic device 100 displays an LFD OMN KANT-newly added to the first rule set format tree 1010 for a rule set format for which a user input has been received among rule set formats of the latest version included in the recommended rule set format tree. The version can be updated in advance by using the M2E V1.07.01.013 version (1040).

That is, the electronic device 100 includes LFD QMNN KANT-M2E V1.12.01.021, LFD QMNN KANT-M2E V1.12.00.020#AA_1.00, LFD QMNN KANT-M2E V1.02.01.006, and LFD QMNN KANT-M2E Among V1.02.00.005#AA_1.00, LFD OMN KANT-M2E V1.07.01.013 newly added to the first rule set format tree 1010 for LFD QMNN KANT-M2E V1.12.01.021 receiving user input Version 1040 may be updated to a new version.

Through this process, when the rule set format is updated due to a change in one of the managed external devices 200, the electronic device 100 updates the rule set format in advance for another external device in which the same change has occurred, thereby preventing an error. may reduce the probability of diagnosis.

11 is a flowchart illustrating a method of operating an electronic device according to an embodiment of the present disclosure.

Referring to FIG. 11 , the electronic device 100 may create a temporary rule set format when a need to update the rule set format for diagnosing at least one component included in the external device 200 is detected ( S1110).

In an embodiment, the need to update the rule set format may be detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device 200 is greater than or equal to a predetermined number of times. In this regard, the same contents as those described in FIG. 4 are omitted.

The electronic device 100 may compare the generated temporary rule set format with at least one rule set format stored in the database (S1115).

The electronic device 100 may store a change history of a rule set format for at least one external device 200 in a database. The electronic device 100 may compare at least one rule set format pre-stored in the database with the temporary rule set format generated in step S1110.

In one embodiment, the comparison between at least one rule set format stored in the database and the temporary rule set format may be a string comparison.

In another embodiment, the comparison between at least one rule set format stored in the database and the temporary rule set format is performed by comparing at least one of device information, installation environment information, operating environment information, or usage type information of the external device 200 can be

Based on the comparison result, the electronic device 100 converts at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database according to a predetermined criterion into a new rule set format for the external device 200. It can be recommended (S1120).

When the electronic device 100 compares the temporary rule set format with at least one rule set format stored in the database and finds a rule set format stored in the database that is similar to the temporary rule set format by more than a predetermined criterion, the temporary rule set format A rule set format stored in the database that is similar to or more than a predetermined criterion may be recommended as a new rule set format for the external device 200 .

In this case, the predetermined criterion may be a criterion manually set by a user or automatically set by the electronic device 100 . For example, a predetermined criterion may be a case in which string comparison results are similar by 80% or more. For another example, the predetermined criterion is that the number of different elements among the device information, installation environment information, operating environment information, or usage type information of the external device 200 is less than or equal to a predetermined number, or the content of the different elements is 80%. may not be exceeded. However, this is just an example and the predetermined criterion is not limited thereto and may be set in various ways.

In an embodiment, the electronic device 100 may display a rule set format list stored in a database that is similar to the temporary rule set format by a predetermined standard or more as a new rule set format for the external device 200 through a user interface.

In an embodiment, the electronic device 100 selects at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database from a result of comparing the temporary rule set format with the at least one rule set format stored in the database. At least one rule set format similar to the temporary rule set format among the rule set formats stored in the database may be recommended as a new rule set format for the external device 200 by using a neural network learned to recommend.

In one embodiment, the electronic device 100 may receive a user input for selecting one of the recommended rule set formats through a user interface (S1125).

In the present disclosure, a user may be a user of the electronic device 100 and a manager who manages at least one external device 200 .

When one of the recommended rule set formats is selected by the user, the electronic device 100 may delete the temporary rule set format and update the selected rule set format to a new rule set format for the external device (S1130 ). In this case, the electronic device 100 may prevent duplicate creation of unnecessary rule set formats by utilizing a similar existing rule set format without generating a new rule set format.

If there is no rule set format selected by the user among the recommended rule set formats, the electronic device 100 may register the temporary rule set format as a new rule set format for the external device 200 (S1135).

The electronic device 100 may check changes between the new rule set format and the old rule set format (S1140).

For example, the change may be an update of the software platform. For another example, the change could be a rise or fall in the average outside temperature.

The electronic device 100 may search another rule set format for managing an external device in which a change similar to the confirmed change content has occurred (S1145).

For example, when the content of change is an update of a software platform, the electronic device 100 may search for other external devices to which the same software update has been performed and a rule set format for managing the corresponding external devices.

For another example, if the change is an increase or decrease in the average external temperature, other external devices in an area where the same increase or decrease in the external average temperature has occurred may be searched and a rule set format managing the external devices may be retrieved. there is.

The electronic device 100 may recommend the searched rule set format as a rule set format for which the need for update is detected (S1150).

In one embodiment, the electronic device 100 may recommend a rule set format retrieved through a user interface as a rule set format in which the need for update is detected.

In an embodiment, the electronic device 100 updates the rule set format by referring to device information, installation environment information, operating environment information, information on a usage type, and change history of at least one external device stored in a database. Using a neural network trained to search for other external devices that have the same change as one external device and search for and recommend a rule set format that manages the external devices, another external device that has updated the rule set format and the same change has occurred External devices may be searched for, and a rule set format for managing the external devices may be searched and recommended.

In an embodiment, the electronic device 100 may receive a user input for selecting one of the recommended rule set formats (S1155).

In an embodiment, the electronic device 100 may receive a user input for selecting one of the recommended rule set formats through a user interface.

When a user input for selecting one of the recommended rule set formats is received, the electronic device 100 may update the new rule set format in step S1135 to a new version for the selected rule set format (S1160).

The electronic device 100 may terminate rule set format management when a user input for selecting one of the recommended rule set formats is not received.

12 is a diagram illustrating an example of a system for managing an electronic device using a rule set format generated according to an embodiment of the present disclosure.

The system of FIG. 12 may include a first server corresponding to the electronic device 100 of FIGS. 1 to 11 , a network operation center 300 , a second server 400 and an external device 200 .

The external device 200 may be the same as the external device described in FIG. 1 .

The external device 200 may be at least one digital signage product, but this is only an example and may be implemented with various electronic devices. The external device 200 includes a tablet PC, a digital camera, a camcorder, a laptop computer, a netbook computer, a tablet PC, a desktop, an e-book reader, a video phone, a digital broadcasting terminal, and personal digital assistants (PDAs). ), portable multimedia player (PMP), navigation, MP3 player, wearable device, smart refrigerator, and other home appliances.

The external device 200 may be one or more, and may be composed of only similar product groups, but is not limited thereto and may include all types of electronic devices.

The second server 400 may be a server that manages information about the external device 200 .

In one embodiment, the second server 400 may be a server that manages one cluster, which is a product group composed of similar external devices 200 . For example, one cluster may be a cluster composed of digital signage products.

In another embodiment, the second server 400 may be a server that manages the external device 200 located in a specific region. For example, a specific region may be Seoul or South Korea.

In one embodiment, the network operation center 300 may be a center that integrates and manages the plurality of second servers 400 . In one embodiment, the network operation center 300 may include a computer in a general situation room used by a rule set format manager.

The first server corresponding to the electronic device 100 of FIGS. 1 to 11 may be a server that performs steps described in FIG. 4 or FIG. 11 .

In one embodiment, based on the comparison result, the first server 100 converts at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database according to a predetermined criterion into a new rule set for an external device. A recommendation list recommended in a format (step S430 in FIG. 4 or step S1120 in FIG. 11 ) may be transmitted to the network operation center 300 and displayed through the display of the network operation center 300 .

In one embodiment, the first server 100 executes step S1150 of FIG. 11 and transmits a recommendation list recommending the rule set format in which the need for update is detected to the network operation center 300 and transmits the searched rule set format to the network operation center 300. It can be displayed through the display of the operation center 300 .

After receiving a user input for selecting one of the recommendation lists through the network operation center 300 , the first server 100 may receive the received user input from the network operation center 300 .

In one embodiment, at least one external device 200 may transmit device information, installation environment information, operating environment information, or information about a usage type of the external device 200 to the second server 400 .

In another embodiment, the at least one external device 200 transmits device information, installation environment information, operating environment information, or usage information of the external device 200 in the form of rule set data to the second server. It can be transmitted to (400) (b).

In the present disclosure, the rule set data may be data in which a result of applying the rule set format to each external device 200 is recorded in a predetermined format. Details of the rule set data will be described later with reference to FIG. 13 .

In one embodiment, at least one external device 200 may periodically transmit rule set data to the second server 400 .

The second server 400 may request rule set data from one or more external devices 200 managed by the second server 400 (a), and may receive rule set data from the one or more external devices 200. (b).

The second server 400 may transmit rule set data received from one or more external devices 200 to the network operation center 300 (d).

The network operation center 300 requests rule set data from one or more second servers 400 managed by the network operation center 300 (c) and receives rule set data from one or more second servers 400. can (d).

In one embodiment, the network operation center 300 receives rule set data from one or more second servers 400 to obtain device information, installation environment information, operating environment information, or use type of at least one external device 200. Information and its change history can be stored in a database.

In an embodiment, device information, installation environment information, operating environment information, or use type information and change history of at least one external device 200 may not be transmitted only in the form of rule set data.

Device information, installation environment information, operating environment information, or use type information and change history of at least one external device 200 may be transmitted in a form other than rule set data. Even in this case, the transmission route may be the same as the route through which the rule set data is transmitted.

In one embodiment, the first server 100 may manage a rule set format using a database stored in the network operation center 300 .

However, this is just an example, and in another embodiment, the network operation center 300 transmits the received rule set data to the first server 100, thereby providing device information and installation environment information of at least one external device 200. , operating environment information or information on a usage type and a change history thereof may be stored in the database of the first server 100 .

In another embodiment, device information, installation environment information, operating environment information, or use type information and change history of at least one external device 200 are stored in the database of the first server 100 and the network operation center 300. can be stored simultaneously.

The first server 100 may generate the latest rule set format by performing the steps described in FIG. 4 or 11 and transmit the generated latest rule set format to the network operation center 300 .

The network operation center 300 may transmit the rule set format received from the first server 100 to the second server 400 .

The second server 400 may transmit the rule set format received from the network operation center 300 to the external device 200 .

The external device 200 may diagnose at least one component included in the external device 200 using the received rule set format.

In one embodiment, the rule set data and rule set format may be transmitted by skipping at least one of the first server 100 , the network operation center 300 and the second server 400 .

In one embodiment, the first server 100 and the network operation center 300 may divide and perform the steps described in FIG. 4 or 11 .

In another embodiment, the first server 100 and the network operation center 300 may not exist separately but may be integrated into one device.

In another embodiment, the first server 100, the network operation center 300, and the second server 400 may not exist separately but may be integrated into one device.

However, the above description is only an example, and the first server 100, the network operation center 300, and the second server 400 may be integrated or separated in various ways.

13 is a diagram illustrating an example of rule set data according to an embodiment of the present disclosure.

In the present disclosure, the rule set data 1310 may include data in which a result of applying the rule set format to each external device 200 is recorded in a predetermined format.

The rule set data 1310 may be data generated by the external device 200 . The external device 200 may generate rule set data 1310 by applying the rule set format received from the rule set management server to the external device 200 .

In the embodiment of FIG. 13 , the predetermined format may be an XML (eXtensible Markup Language) format. However, the predetermined format is not limited to the XML format, and various formats may be used.

In order to diagnose at least one component included in the external device 200, the rule set data 1310 is abnormal based on device information, installation environment information, operating environment information, and usage type information of the external device 200. It may be a description of a result of applying at least one rule defining a condition when a situation occurs to the external device 200 .

For example, the external device 200 may describe the internal temperature and internal humidity of the external device 200 at a specific time, whether a warning or an error occurs at a specific temperature or specific humidity, etc. in XML.

The electronic device 100 may update a rule set format based on rule set data received from at least one external device 200 or update information about the external device 200 stored in a database.

14 is a diagram illustrating an example of a system for managing an electronic device using a rule set format generated according to an embodiment of the present disclosure.

The system of FIG. 14 may include a first server corresponding to the electronic device 100 of FIGS. 1 to 11 , a network operation center 300 , a second server 400 and an external device 200 .

In the embodiment of FIG. 14 , the first server 100 may include an analysis server and a recommendation server.

The analysis server and the recommendation server may be two physically separated servers, or may be physically one server but logically separated from each other.

The analysis server may statistically analyze the change history of the rule set format stored in the database.

The recommendation server may recommend a rule set format and manage a version of the rule set format using one or more rule set format comparison models.

The recommendation server may store and manage one or more comparison methods as a comparison model. For example, the recommendation server may store and manage a string comparison model, a device information comparison model, an installation environment comparison model, an operating environment comparison model, and the like.

The recommendation server may recommend a rule set format in the method described in FIG. 4 or FIG. 11 using one or more comparison models for comparing two rule set formats.

As shown in FIGS. 8A, 8B, 9, and 10, the recommendation server may manage a change history of the rule set format by managing the version of the rule set format.

The recommendation server manages information about the device information, installation environment information, operating environment information, and usage type of the external device 200, so that not only the change history of the rule set format analyzed by the analysis server, but also the device information and installation environment information In addition, a rule set format update expected to be necessary according to a change in operating environment information or information on a usage type may be performed in advance.

In one embodiment, the network operations center 300 may create and manage a rule set format. The network operation center 300 may receive a user input for a list recommended by the first server 100 and finally determine whether to generate a new rule set format and a rule set format to be applied.

The second server 400 may periodically monitor the external device 200 and transmit the rule set format generated by the network operation center 300 to the external device 200 .

The external device 200 may diagnose failure information of at least one component included in the external device 200 by receiving and applying the rule set format.

In one embodiment, the external device 200 may transmit the diagnosis result to the analysis server in the form of rule set data.

A method of operating an electronic device according to an embodiment may be implemented in the form of a computer readable medium including instructions executable by a computer, such as program modules executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - Includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media and ROM, RAM, flash memory, etc. Examples of program instructions may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes generated by a compiler.

The above description is for illustrative purposes, and those skilled in the art will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the invention. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

Claims (20)

In electronic devices,
a memory that stores one or more instructions; and
a processor to execute the one or more instructions stored in the memory, the processor executing the one or more instructions to:
When the need to update the rule set format for diagnosing at least one component included in the external device is detected, a temporary rule set format is created;
comparing the generated temporary rule set format with at least one rule set format stored in a database;
Based on the comparison result, recommending at least one rule set format similar to the temporary rule set format among the at least one rule set format stored in the database according to a predetermined criterion as a new rule set format for the external device , electronic devices. The method of claim 1 , wherein the processor executes the one or more instructions to:
When one of the recommended rule set formats is selected by the user, updating the selected rule set format to a new rule set format for the external device;
If there is no rule set format selected by the user among the recommended rule set formats, the electronic device registers the temporary rule set format as a new rule set format for the external device. 3. The method of claim 2, wherein the processor by executing the one or more instructions:
When registering the temporary rule set format as a new rule set format for the external device, comparing the new rule set format with the previous rule set format to confirm changes,
Searching for other rule set formats in which changes similar to the changes have occurred;
An electronic device that recommends the searched other rule set format as a rule set format in which a need for update is detected. According to claim 1,
The electronic device, characterized in that the comparison of the generated temporary rule set format with at least one rule set format stored in the database is a string comparison. According to claim 1,
Comparison of the generated temporary rule set format with at least one rule set format stored in the database is a comparison of at least one of device information of the external device, installation environment information, operating environment information, or use type information. electronic device to The method of claim 1 , wherein the processor executes the one or more instructions to:
Learned to recommend at least one rule set format similar to the temporary rule set format among rule set formats stored in the database from a result of comparing the generated temporary rule set format with at least one rule set format stored in the database The electronic device recommends, by using a neural network, at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database as a new rule set format for the external device. The method of claim 1, wherein the need to update the rule set format,
The electronic device is detected when the number of occurrences of errors in fault diagnosis for at least one component included in the external device is equal to or greater than a predetermined number of times. The method of claim 7, wherein the temporary rule set format,
The electronic device characterized in that it is generated to solve an error in the failure diagnosis by reflecting a change in at least one of device information, installation environment information, operating environment information, or use type information of the external device. The method of claim 1, wherein the predetermined criteria,
An electronic device characterized in that it is manually set by a user or automatically set by the electronic device. The method of claim 1 , wherein the processor executes the one or more instructions to:
An electronic device that stores a change history of a rule set format for the external device. In the operating method of the electronic device,
generating a temporary rule set format when a need to update a rule set format for diagnosing at least one component included in an external device is detected;
comparing the generated temporary rule set format with at least one rule set format stored in a database; and
Based on the comparison result, recommending at least one rule set format similar to the temporary rule set format among the at least one rule set format stored in the database according to a predetermined criterion as a new rule set format for the external device A method of operating an electronic device comprising steps. According to claim 11,
When one of the recommended rule set formats is selected by the user, updating the selected rule set format to a new rule set format for the external device;
and registering the temporary rule set format as a new rule set format for the external device when there is no rule set format selected by the user among the recommended rule set formats. According to claim 12,
when registering the temporary rule set format as a new rule set format for the external device, comparing the new rule set format with a previous rule set format to confirm changes;
Searching for another rule set format in which a change similar to the change content has occurred; and
The method of operating the electronic device further comprising the step of recommending the searched other rule set format as a rule set format for which the need for update is detected. According to claim 11,
The method of operating an electronic device, characterized in that the comparison of the generated temporary rule set format with at least one rule set format stored in the database is a string comparison. According to claim 11,
Comparison of the generated temporary rule set format with at least one rule set format stored in the database is a comparison of at least one of device information of the external device, installation environment information, operating environment information, or use type information. A method of operating an electronic device to be. The method of claim 11, wherein the recommending step,
Learned to recommend at least one rule set format similar to the temporary rule set format among rule set formats stored in the database from a result of comparing the generated temporary rule set format with at least one rule set format stored in the database and recommending, by using a neural network, at least one rule set format similar to the temporary rule set format among rule set formats stored in the database as a new rule set format for the external device. . The method of claim 11, wherein the need to update the rule set format comprises:
and detecting when the number of occurrences of errors in fault diagnosis for at least one component included in the external device is equal to or greater than a predetermined number of times. 18. The method of claim 17, wherein the temporary rule set format comprises:
The method of operating an electronic device, characterized in that generated in order to solve an error in the failure diagnosis by reflecting a change in at least one of device information, installation environment information, operating environment information, or use type information of the external device. According to claim 11,
The method of operating the electronic device further comprising storing a change history of a rule set format for the external device. generating a temporary rule set format when a need to update a rule set format for diagnosing at least one component included in an external device is detected;
comparing the generated temporary rule set format with at least one rule set format stored in a database; and
Based on the comparison result, recommending at least one rule set format similar to the temporary rule set format among the rule set formats stored in the database according to a predetermined criterion as a new rule set format for the external device. A computer-readable recording medium on which a program for implementing a method of operating an electronic device is recorded.

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