KR20230123568A - Electronic apparatus and control method thereof - Google Patents

Abstract

An electronic device is disclosed. The electronic device obtains location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a memory in which the learned neural network model is stored and a plurality of air outlets disposed in different directions is installed, and the learned neural network model At least one of structure information corresponding to the space or arrangement information of objects in the space is obtained by inputting location information and temperature information corresponding to each of the plurality of areas, and structural information corresponding to the space or within the space and a processor that obtains control information for controlling at least one of an operation of the plurality of outlets or a strength of wind discharged through the plurality of outlets based on at least one of object arrangement information.

Description

Electronic apparatus and its control method {Electronic apparatus and control method thereof}

The present disclosure relates to an electronic device and a control method thereof, and more particularly, to an electronic device for adjusting a temperature in a specific space and a control method thereof.

Conventional electronic devices such as air conditioners provide specific services such as cooling and heating services to users by performing operations using data on the environment around the electronic device, such as temperature acquired through a built-in sensor or presence of an occupant.

However, since the service was uniformly provided without considering the characteristics of the space where the air conditioner was installed, there were cases in which the temperature deviation was different depending on the location even within the same space. In addition, since the service is provided without considering the user's main movement path, temperature control is uniformly performed even in areas where the user does not move and where temperature control is unnecessary, resulting in energy loss.

SUMMARY OF THE INVENTION The present disclosure is directed to providing an electronic device and a method for controlling the operation of an air conditioner by recognizing the characteristics of a space and a user's movement pattern based on an obtained thermal image, and controlling the operation of the air conditioner based thereon.

An electronic device according to an embodiment of the present disclosure for achieving the above object is a plurality of areas included in a space where a system air conditioner is installed having a memory in which a learned neural network model is stored and a plurality of air outlets disposed in different directions. Obtaining each location information and temperature information, inputting the obtained location information and temperature information to the learned neural network model to obtain at least one of structure information corresponding to the space or arrangement information of objects in the space, A processor for obtaining control information for controlling at least one of the operation of the plurality of outlets or the strength of wind emitted through the plurality of outlets based on structure information corresponding to the space and arrangement information of objects in the space can include

Here, the electronic device is implemented as the system air conditioner, and the system air conditioner includes a thermal image sensor, a first driving module generating wind emitted to each of the plurality of air outlets, and louvers provided in the plurality of air outlets. Further comprising a second driving module for adjusting the angle of, wherein the processor is discharged through at least one of the plurality of outlets based on at least one of structural information corresponding to the space or arrangement information of an object in the space. Controls the driving module so that the intensity of the wind is different from the intensity of wind emitted through the rest, and at least one of the plurality of outlets based on at least one of structure information corresponding to the space or arrangement information of an object in the space. The driving module may be controlled so that any one louver angle is different from the other louver angles.

In addition, the electronic device is implemented as a server that controls the system air conditioner, and the server further includes a communication interface, and may transmit the obtained control information to the system air conditioner through the communication interface.

The processor obtains movement pattern information of the user within the space by inputting location information and temperature information of each of the plurality of regions to the learned neural network model, and based on the movement pattern information of the user within the space, the processor A space is identified as a static space and a dynamic space, and the operation of the plurality of outlets or the plurality of air outlets is performed based on structure information corresponding to the space, arrangement information of objects in the space, and information on the identified static space and dynamic space. Control information for controlling at least one of the strengths of wind emitted through the tuyere of the may be obtained.

Here, the movement pattern information of the user in the space includes information on the movement pattern of the user over time, and the processor divides the space into a static space and a static space in units of time intervals based on the movement pattern information of the user over time. Identifying it as a dynamic space, and controlling at least one of the operation of the plurality of tuyere or the strength of wind emitted through the plurality of tuyere in units of the time interval based on the information on the identified static space and the dynamic space. Control information can be obtained.

Here, the processor determines at least one of an operation of a first air outlet disposed in the static space direction or an intensity of wind discharged through the first air outlet among the plurality of air outlets, and a second air outlet disposed in the dynamic space direction. Control information for controlling differently from at least one of the operation of the tuyere or the strength of the wind emitted through the second outlet may be obtained.

Here, the processor may identify the space as a static space and a dynamic space based on movement pattern information of the user within the space and motion information of the user acquired in real time.

In addition, the learned neural network model is trained to acquire at least one of structure information corresponding to a specific space or arrangement information of an object in the specific space based on learning data including location information and temperature information of each of a plurality of regions. It can be.

Meanwhile, a control method of an electronic device according to an embodiment of the present disclosure includes the steps of acquiring location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a plurality of air outlets disposed in different directions is installed. acquiring at least one of structure information corresponding to the space or arrangement information of objects in the space by inputting at least one of location information and temperature information of each of the plurality of regions into the learned neural network model; Obtaining control information for controlling at least one of the operation of the plurality of tuyere or the intensity of wind emitted through the plurality of tuyere outlets based on at least one of corresponding structure information and object arrangement information in the space can include

Here, the electronic device is implemented as the system air conditioner, and the control method is configured to emit air through at least one of the plurality of air outlets based on at least one of structure information corresponding to the space or arrangement information of objects in the space. Controlling the strength of the wind to be different from the strength of the wind emitted through the rest, and at least one of the plurality of outlets based on at least one of structure information corresponding to the space or arrangement information of an object in the space. A step of controlling the louver angle to be different from the rest of the louver angles may be further included.

Here, the electronic device is implemented as a server that controls the system air conditioner,

The control method may further include transmitting the acquired control information to the system air conditioner through a communication interface.

Here, the obtaining of the control information may include: acquiring movement pattern information of the user within the space by inputting location information and temperature information of each of the plurality of regions to the learned neural network model; Identifying the space into a static space and a dynamic space based on pattern information, and the plurality of spaces based on structure information corresponding to the space, arrangement information of objects in the space, and information on the identified static space and dynamic space. The method may further include acquiring control information for controlling at least one of an operation of an air outlet or an intensity of wind emitted through the plurality of air outlets.

Here, the movement pattern information of the user in the space includes information on the movement pattern of the user over time, and the step of identifying the space as a static space and a dynamic space is based on the movement pattern information of the user over time. The step of identifying the space as a static space and a dynamic space in units of time intervals and obtaining the control information may include operating the plurality of outlets in units of time intervals based on the information on the identified static and dynamic spaces. Alternatively, control information for controlling at least one of wind strength emitted through the plurality of outlets may be obtained.

Here, the obtaining of the control information may include setting at least one of an operation of a first tuyere disposed in the static space direction among the plurality of tuyeres or an intensity of wind discharged through the first tuyere to the dynamic space direction. Control information for differently controlling at least one of the operation of the second tuyere or the strength of the wind emitted through the second tuyere may be obtained.

In the step of identifying the space as a static space and a dynamic space, the space may be identified as a static space and a dynamic space based on movement pattern information of the user within the space and motion information of the user acquired in real time.

Here, the learned neural network model is trained to acquire at least one of structural information corresponding to a specific space or arrangement information of an object in the specific space based on learning data including location information and temperature information of each of a plurality of regions. It can be.

According to various embodiments described above, the operation of the air conditioner can be controlled according to spatial structure information obtained based on a thermal image, object arrangement information, and movement pattern information of a user. Accordingly, efficient operation of the air conditioner according to the characteristics of the space is possible, and user satisfaction can be improved.

1A is a diagram for explaining a method of operating an electronic device according to an exemplary embodiment.
1B is a diagram for explaining a method of operating an electronic device according to an exemplary embodiment.
1C is a diagram for explaining a method of operating an electronic device according to an exemplary embodiment.
2 is a block diagram illustrating a configuration of an electronic device according to an exemplary embodiment.
3 is a diagram for explaining location information and temperature information corresponding to each of a plurality of regions according to an exemplary embodiment.
4 is a diagram for explaining a neural network model according to an embodiment.
5A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.
5B is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.
6A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.
6B is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.
7A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.
7B is a diagram for explaining a control method of an electronic device according to an embodiment.
8 is a diagram for explaining a detailed configuration of an electronic device according to an exemplary embodiment.
9 is a flowchart illustrating a method of controlling an electronic device according to an exemplary embodiment.

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

Terms used in this specification will be briefly described, and the present disclosure will be described in detail.

The terms used in the embodiments of the present disclosure have been selected from general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technologies, and the like. . In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the disclosure. Therefore, terms used in the present disclosure should be defined based on the meaning of the term and the general content of the present disclosure, not simply the name of the term.

In this specification, expressions such as “has,” “can have,” “includes,” or “can include” indicate the existence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

The expression at least one of A and/or B should be understood to denote either "A" or "B" or "A and B".

Expressions such as "first," "second," "first," or "second," as used herein, may modify various components regardless of order and/or importance, and may refer to one component It is used only to distinguish it from other components and does not limit the corresponding components.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that an element may be directly connected to another element, or may be connected through another element (eg, a third element).

Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "comprise" or "consist of" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other It should be understood that the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof is not precluded.

In the present disclosure, a “module” or “unit” performs at least one function or operation, and may be implemented in hardware or software or a combination of hardware and software. In addition, a plurality of "modules" or a plurality of "units" are integrated into at least one module and implemented by at least one processor (not shown), except for "modules" or "units" that need to be implemented with specific hardware. It can be.

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

1A to 1C are diagrams for explaining a method of operating an electronic device according to an exemplary embodiment.

According to an embodiment, the electronic device 100 may be a system air conditioner or a server. A system air conditioner refers to an air conditioner in which refrigerant pipes of a plurality of indoor units are connected to one outdoor unit, and each of the plurality of indoor units may be individually controlled or controlled by one central control system. The system air conditioner may include a thermal image sensor (not shown), a first driving module that generates wind discharged to each of a plurality of outlets, and a second driving module that adjusts angles of louvers provided in the plurality of outlets. there is.

A server may refer to a device having authority to manage or control an external device (eg, an air conditioner such as an air conditioner, a user terminal, or a plurality of sensing devices) connected through a network. The server may be networked with external devices such as a plurality of electronic devices. For example, the server may be a user-individual network (e.g., PAN (Personal Area Network), etc.), a local area network (e.g., Home Networking, LAN (Local Area Network), etc.), or a wide area network (e.g., : Can be connected to an external device through WAN (Wide Area Network), Internet, etc.). Accordingly, the server may transmit and receive various data (or messages) by communicating with the air conditioner or the user terminal device.

However, in the following description, it is assumed that the electronic device 100 is a system air conditioner for convenience of description.

According to FIG. 1A , according to an embodiment, the electronic device 10 may be installed in a specific space and emit wind through a plurality of outlets. In this case, the electronic device 10 may identify a specific space as a plurality of subspaces A to D, identify whether or not a user exists in each of the identified subspaces, and discharge wind into the specific space based on the identification. According to an example, when it is identified that a user is present in space A, the electronic device 10 may control the driving module so that the strength of wind emitted into space A is different from the strength of wind emitted into other spaces.

According to another example, the electronic device 10 may emit wind through the air outlet based on at least one of space structure information and object arrangement information in the space. In general, the electronic device 10 controls the driving module so that wind emitted through a plurality of air outlets is emitted with the same intensity.

However, according to an example, when wind having the same strength is emitted through a plurality of outlets of the electronic device 10 as shown in FIG. The temperature may not be properly controlled. According to another example, when an object 31 such as a desk exists in a space where the electronic device 10 is installed as shown in FIG. may not be uniformly controlled.

Hereinafter, various embodiments of controlling the operation of an air conditioner according to information about a space acquired based on a thermal image will be described.

2 is a block diagram illustrating a configuration of an electronic device according to an exemplary embodiment.

According to FIG. 2 , the electronic device 100 may include a memory 110 and a processor 120 .

The memory 110 may store data required for various embodiments of the present disclosure. The memory 110 may be implemented in the form of a memory embedded in the electronic device 100 or in the form of a memory capable of communicating with (or detachable from) the electronic device 100 according to a data storage purpose. For example, data for driving the electronic device 100 is stored in a memory embedded in the electronic device 100, and data for an extended function of the electronic device 100 is communicable with the electronic device 100. can be stored in memory. On the other hand, in the case of memory embedded in the electronic device 100, volatile memory (eg, DRAM (dynamic RAM), SRAM (static RAM), SDRAM (synchronous dynamic RAM), etc.), non-volatile memory (non-volatile memory) ( Examples: OTPROM (one time programmable ROM), PROM (programmable ROM), EPROM (erasable and programmable ROM), EEPROM (electrically erasable and programmable ROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash, etc.) ), a hard drive, or a solid state drive (SSD). In addition, in the case of a memory capable of communicating with the electronic device 100, a memory card (eg, a compact flash (CF)) , SD (secure digital), Micro-SD (micro secure digital), Mini-SD (mini secure digital), xD (extreme digital), MMC (multi-media card), etc.), external memory that can be connected to the USB port (eg For example, a USB memory) may be implemented in the form of the like.

According to an embodiment, the memory 110 may be implemented as a single memory that stores data generated in various operations according to the present disclosure. However, according to another embodiment, the memory 110 may be implemented to include a plurality of memories each storing different types of data or each storing data generated in different steps.

According to an embodiment, a learned neural network model may be stored in the memory 110 .

According to an example, the memory 110 may store information about a neural network model including a plurality of layers. Here, storing information about the neural network model means various information related to the operation of the neural network model, for example, information about a plurality of layers included in the neural network model, parameters used in each of the plurality of layers (eg, filter coefficients). , bias, etc.) may be meant to store information. According to an example, the neural network model is a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or a deep Q-network (Deep Q-Networks), etc., but is not limited thereto. According to an example, the learned neural network model may be a model learned to output at least one of structure information corresponding to a space or arrangement information of objects in a space when location information and temperature information corresponding to each of a plurality of regions are input. Alternatively, the learned neural network model is a model learned to output not only structural information corresponding to a space and object arrangement information in a space, but also movement pattern information of a user in a space when position information and temperature information corresponding to each of a plurality of regions are input. can be

According to an embodiment, the memory 110 may be implemented as a single memory that stores data generated in various operations according to the present disclosure. However, according to another embodiment, the memory 110 may be implemented to include a plurality of memories each storing different types of data or each storing data generated in different steps.

The processor 120 is electrically connected to the memory 110 and controls overall operations of the electronic device 100 .

According to an embodiment, the processor 120 may include a digital signal processor (DSP), a microprocessor, a graphics processing unit (GPU), an artificial intelligence (AI) processor, and a neural processing unit (NPU) for processing digital image signals. Processing Unit), time controller (TCON), but is not limited to, central processing unit (CPU), micro controller unit (MCU), micro processing unit (MPU), controller (controller), application processor (AP), communication processor (communication processor (CP)), and one or more of ARM processors, or may be defined by the term. In addition, the processor 120 may be implemented in the form of a system on chip (SoC) with a built-in processing algorithm, large scale integration (LSI), application specific integrated circuit (ASIC), or field programmable gate array (FPGA).

In addition, the processor 120 for executing the neural network model according to an embodiment may be a general-purpose processor such as a CPU, AP, digital signal processor (DSP), etc., a graphics-only processor such as a GPU, a vision processing unit (VPU), or an NPU. It can be implemented through a combination of a dedicated artificial intelligence processor and software. The processor 130 may control input data to be processed according to a predefined operating rule or a neural network model stored in the memory 110 . Alternatively, if the processor 130 is a dedicated processor (or an artificial intelligence dedicated processor), it may be designed as a hardware structure specialized for processing a specific neural network model. For example, hardware specialized for processing a specific neural network model may be designed as a hardware chip such as an ASIC or FPGA. When the processor 130 is implemented as a dedicated processor, it may be implemented to include a memory for implementing an embodiment of the present disclosure or to include a memory processing function for using an external memory.

First, according to an embodiment, the processor 120 may obtain location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a plurality of air outlets arranged in different directions is installed.

According to an example, a thermal image corresponding to the space may be acquired, and location information and temperature information of each of a plurality of areas included in the space may be obtained based on the obtained thermal image. A thermal image is acquired by receiving minute infrared rays generated from a subject such as an object or a human body, and measuring a thermal picture corresponding to the infrared rays. A thermal image may be acquired through a thermal image sensor (not shown), and a temperature value of a subject (or space) may be obtained through the thermal image sensor (not shown).

Meanwhile, a thermal image sensor (not shown) is a sensor that detects infrared energy emitted, transmitted, or reflected when an object is irradiated with infrared rays at a temperature of absolute 0 degrees (0°K) or higher, and obtains a temperature value based on this, This will be described in detail with reference to FIGS. 3 and 8 .

Then, according to an embodiment, the processor 120 may identify the thermal image as a plurality of regions and obtain location information (or coordinate information) and temperature information corresponding to each of the plurality of regions. According to an example, the processor 120 may identify a thermal image as 64 grids (8 horizontally and 8 vertically) and obtain location information (or coordinate information) and temperature information corresponding to each grid. can However, it is not limited to this, and it can be identified with various numbers of Grids, of course. Meanwhile, location information may be coordinate information corresponding to each Grid. For example, it may be represented in the form of two-dimensional coordinates of each of a plurality of grids arranged in a matrix form, but is not limited thereto. In addition, the temperature information may be information on the average temperature of the identified region (or Grid), but is not limited thereto, and is not limited thereto, and a median value among a plurality of temperature values corresponding to the identified region or a plurality of temperatures corresponding to the identified region Of course, it may also be obtained based on the variance value calculated from the value. This will be described in detail with reference to FIG. 3 .

According to another example, the processor 120 may obtain location information and temperature information of each of a plurality of areas included in the space where the system air conditioner is installed through a specific sensor. That is, the processor 120 directly transmits location information and temperature information of each of a plurality of areas included in the space where the system air conditioner is installed through a specific sensor (eg, a grid eye sensor) without acquiring and processing the thermal image. may also be obtained.

Thereafter, according to an embodiment, the processor 120 inputs location information and temperature information corresponding to each of a plurality of regions to the learned neural network model to obtain at least one of structure information corresponding to a space or object arrangement information in a space. can be obtained Here, the location information refers to coordinate information capable of identifying each of a plurality of areas as the space is identified as a plurality of areas, and the temperature information refers to size information of a temperature corresponding to each of a plurality of areas. Meanwhile, the learned neural network model is trained to acquire at least one of structural information corresponding to a specific space or arrangement information of an object in a specific space based on learning data including location information and temperature information corresponding to each of a plurality of regions. . This will be described in detail with reference to FIG. 4 .

Thereafter, according to an embodiment, the processor 120 performs at least one of the operation of a plurality of outlets or the intensity of wind emitted through the plurality of outlets based on at least one of structure information corresponding to a space or arrangement information of an object in a space. Control information for controlling one can be obtained. Here, the strength of the wind may mean the amount of wind, but is not limited thereto, and may include the temperature of the wind.

According to an example, when it is identified that the horizontal length of the space is relatively longer than the vertical length of the space, the processor 120 determines that the wind strength corresponding to the horizontal axis of the space is greater than the wind strength corresponding to the vertical axis of the space. It is possible to obtain control information that allows In this case, it is also possible to obtain control information such that the louver angle corresponding to the horizontal axis of the space is different from the louver angle corresponding to the vertical axis of the space. According to another example, when it is identified that the desk is present in the first area within the space, the processor 120 transmits control information such that the wind strength emitted to the first area is smaller than the wind strength emitted to other locations. can be obtained

Meanwhile, it is assumed that the electronic device 100 is a system air conditioner according to an embodiment. The processor 120 controls the intensity of the wind emitted through at least one of the plurality of outlets based on at least one of structure information corresponding to the space, arrangement information of objects in the space, and movement pattern information of the user to be emitted through the rest. The first driving module (not shown) is controlled to be different from the strength of the wind, and the louver angle of at least one of the plurality of outlets is determined based on at least one of structural information corresponding to the space or arrangement information of an object in the space. It is possible to control the second driving module (not shown) to be different from the louver angle.

Here, the first driving module is a module that generates wind discharged to each of a plurality of outlets in the system air conditioner, and the second drive module is a module that adjusts the angle of the louvers provided in the plurality of outlets in the system air conditioner. The processor 120 may control the first driving module or the second driving module according to control information for controlling the operation of the tuyere or the intensity of wind discharged through the plurality of tuyere outlets.

According to an example, when it is identified that the horizontal length of the space is relatively longer than the vertical length of the space, the processor 120 determines that the wind strength corresponding to the horizontal axis of the space is greater than the wind strength corresponding to the vertical axis of the space. It is possible to control the first driving module so as to According to another example, when the processor 120 is identified as being present in a first area within the space, the processor 120 sets the strength of wind emitted to the first area to be smaller than the strength of wind emitted to other locations. The first driving module may be controlled.

However, in the above-described embodiment, it has been described that at least one of structural information corresponding to a space or arrangement information of an object in a space is obtained based on temperature information within the space, and then a plurality of air outlets are controlled based on the obtained information. It is not necessarily limited to this. For example, it is also possible to control a plurality of air outlets based on temperature information of each spatial region in the space itself without obtaining structure information or object arrangement information based on temperature information within the space. Meanwhile, according to another embodiment, when the electronic device is implemented as a server that controls the system air conditioner, the server may transmit the acquired control information to the system air conditioner through a communication interface (not shown).

Meanwhile, according to an embodiment, the processor 120 obtains movement pattern information of the user within the space by inputting location information and temperature information corresponding to each of a plurality of regions to the learned neural network model, and obtains movement pattern information of the user within the space. The space may be identified as a static space and a dynamic space based on , and control information may be obtained based on information on the identified static space and dynamic space.

Here, the movement pattern information of the user may be information about a position where movement of the user (or object) within a space is detected more than a predetermined number of times and information obtained based on the movement pattern information of the user, in units of time intervals. Movement pattern information may be obtained as . That is, the user's movement pattern information may include the user's movement pattern information over time. For example, by dividing a day into morning (12:00 AM to 12:00 PM) and afternoon (12:00 PM to 12:00 AM), movement pattern information in the morning time and movement pattern information in the afternoon time are can be obtained As another example, movement pattern information for each season may be stored. The static space is location information (or coordinate information) corresponding to an area in which the user's movement is detected less than a preset number of times, and the dynamic space is location information (or coordinate information) corresponding to an area in which the user's movement is detected more than a preset number of times among a plurality of areas ( Or, coordinate information). Alternatively, the static space may refer to a space in which static objects such as things are disposed.

According to an example, the processor 120 may identify the first area as a dynamic space when movement of the user is detected a predetermined number of times or more in the first area among the identified plurality of areas. Thereafter, the processor 120 may obtain control information for controlling the intensity of wind emitted into the identified dynamic space to be greater than the intensity of wind emitted into the static space.

According to another example, the processor 120 may set at least one of an operation of a first tuyere disposed in a static space direction or an intensity of wind discharged through the first tuyere to a second tuyere disposed in a dynamic space direction. Control information for controlling differently from at least one of the operation of the tuyere or the strength of the wind emitted through the second outlet may be obtained. For example, the processor 120 may obtain control information for controlling the intensity of wind emitted through the second outlet to be greater than the intensity of wind emitted through the first outlet. Through this, a stronger wind can be emitted to the dynamic space where the user frequently moves. However, this is only one embodiment, and as another example, control information for controlling to lower the intensity and temperature of the wind emitted through the second tuyere may be obtained. As another example, the angle of the louver corresponding to the second outlet may be upwardly adjusted so that the wind is discharged to a location other than the user's location.

Meanwhile, according to an embodiment, the processor 120 may identify a space as a static space and a dynamic space based on user movement pattern information within the space and user movement information acquired in real time. Here, the motion information of the user may be obtained based on a change in infrared energy value through a thermal image sensor (not shown). According to an example, the processor 120 may identify the first region as a static space when it is identified that there is no movement of the user in real time, even if movement of the user is detected in the first region among the plurality of regions a predetermined number of times or more. there is. According to another example, the processor 120 may identify the second area as a dynamic space when it is identified that the user's motion exists in real time even if the user's movement is detected less than a preset number of times in the second area among the plurality of areas. may be

Meanwhile, according to an embodiment, the processor 120 may operate a plurality of air outlets or operate a plurality of air outlets based on structure information corresponding to a space, arrangement information of objects in the space, and information on the identified static space and dynamic space. It is possible to obtain control information for controlling at least one of the wind strength emitted through the wind.

According to an example, when the horizontal length of the space is longer than the vertical length, the object is located in the first area in the space, and the second area in the space is identified as a dynamic space, the processor 120 transmits the identified structure information. First control information may be obtained based on the structure information, second control information may be obtained based on the structure information, and third control information may be obtained based on the information on the identified dynamic space. In this case, the processor 120 may obtain fourth control information obtained by synthesizing the obtained first, second, and third control information. For example, in the above case, the processor 120 controls the intensity of the wind emitted along the horizontal axis to be strong, the intensity of the wind emitted to the first region to be weak, and the intensity of the wind emitted to the second region to be controlled to be strong. Fourth control information for controlling to be strong may be obtained.

Meanwhile, the processor 120 controls at least one of the operation of a plurality of tuyere or the strength of wind emitted through the plurality of tuyeres in units of time intervals based on information on the identified static space and dynamic space according to an embodiment. It is also possible to obtain control information to do so.

Meanwhile, according to an embodiment, the processor 120 may display information on an object within the identified space through a display (not shown). In this case, the processor 120 may display not only information about the object but also information corresponding to the user's confirmation request or user selection request through a display (not shown). Thereafter, when information corresponding to a user response is input through a user interface (not shown), the processor 120 may determine whether an object in the space is identified based on the information. For example, when information corresponding to “not selected” is received through a user interface (not shown), the processor 120 may determine that the identified object does not exist. As another example, when information corresponding to “selected” is received through a user interface (not shown), the processor 120 may determine that the identified object exists in the space. It is a diagram for explaining location information and temperature information corresponding to each of a plurality of regions along the

First, according to an embodiment, the processor 120 may acquire a thermal image through a thermal image sensor (not shown). The processor 120 may identify the obtained thermal image as a plurality of regions and obtain location information and temperature information corresponding to each of the plurality of regions.

According to an example, the thermal image sensor (not shown) may be a PIR sensor (Passive Infrared Sensor). The PIR sensor is an infrared human body detection sensor that can detect the motion of an object through infrared light, and can detect a change in the amount of infrared energy detected within a specific angular range and based on this, detect the motion of the object.

According to another example, the thermal image sensor may be an infrared array sensor. An infrared array sensor is a sensor that radiates infrared rays into a specific space and obtains a temperature value corresponding to a specific space in a grid form based on an infrared energy value reflected from the specific space. For example, an infrared array sensor may identify a specific space as a plurality of grids and obtain a temperature value corresponding to each grid.

According to FIG. 3 , according to an example, the processor 120 identifies an acquired thermal image as 64 grid areas, and sets a horizontal axis as an x-axis and a vertical axis as a y-axis to coordinate values corresponding to the identified grid areas (or , location information) can be obtained. For example, when the coordinate value of the first area located at the lower left of the thermal image is identified as (1,1), the coordinate value of the second area 310 horizontally next to the first area by 4 spaces It can be identified as (5,1).

Meanwhile, the processor 120 may identify an average value of a plurality of temperature values corresponding to the identified region as temperature information (ie, a representative temperature value) of the identified region. For example, the above-described temperature information of the second region 310 is 29.50°C, which may be an average value of temperature values of the second region. However, the present invention is not limited thereto, and a thermal image including temperature information and location information corresponding to an area identified through a thermal image sensor (not shown) may be obtained. The processor 120 may obtain location information corresponding to a space, structure information, and movement pattern information of a user from a neural network model by using the obtained temperature information and location information as input data.

However, according to another embodiment, information including temperature values for each grid as shown in FIG. 3 may be directly obtained from the thermal image sensor.

4 is a diagram for explaining a neural network model according to an embodiment.

According to FIG. 4 , the processor 120 inputs location information and temperature information 410 corresponding to each of a plurality of regions to the learned neural network model 420 to obtain structure information 430 corresponding to the space and object information in the space. Placement information 440 and movement pattern information 450 of the user may be obtained. In this case, as shown in FIG. 3 , the location information of the space is coordinate information corresponding to a plurality of identified areas, and coordinate information of each of the plurality of areas and temperature information 410 corresponding thereto may be input to the neural network model. there is. Here, the coordinate information of each of the plurality of regions input to the neural network model and the corresponding temperature information 410 may be in numerical form in which each information (coordinate information and temperature information) is listed, but is not limited thereto, and a plurality of It is also possible to implement in the form of an image in which a number indicating temperature information or other information (eg, color, etc.) is tagged in each of a plurality of regions in the image in which the regions are identified.

However, it is not limited thereto, and the input data may be the thermal image itself, and the neural network model may output the above-described information by using the thermal image as the input data.

Meanwhile, according to an example, movement pattern information is output through the neural network model 420, and based on this, the processor 120 may identify a plurality of regions as a dynamic space and a static space, but the neural network model is not limited thereto. Data output through may include data identifying dynamic space and static space. That is, information in which the dynamic space and the static space are identified may be obtained through the neural network model.

In addition, according to an example, the input data may be location information (or coordinate information) and temperature information corresponding thereto, and the processor 120 may identify the location information and temperature information of the space for each unit time and input them to the neural network model. there is. According to an example, it is assumed that location information and temperature information of a space are identified every minute through a thermal image sensor (not shown). In this case, the processor 120 may identify an average value of location information and temperature information of a space based on data obtained for a preset time period, and may input the average value to the neural network model. As another example, the processor 120 may input each piece of data acquired during a preset time to a neural network model, and the neural network model may output information about space based on the input data.

Meanwhile, the neural network model acquires structural information corresponding to a specific space, arrangement information of objects in a specific space, and movement pattern information of a user based on learning data including location information and temperature information corresponding to each of a plurality of regions. are learned In this case, the learning data may be a thermal image (or temperature information and location information included therein) obtained through a thermal image sensor (not shown), but is not limited thereto, and a neural network model trained in advance at the time of initial installation may be used. It may be stored in the memory 110.

According to an embodiment, a neural network model may be learned based on a pair of input training data and output training data or based on input training data. Here, the learning of the neural network model means that the basic artificial intelligence model (eg, a neural network model including random parameters) is learned using a plurality of training data by a learning algorithm, so that the desired characteristics (or goals) are obtained. This means that a predefined action rule or neural network model set to perform is created. Such learning may be performed through the electronic device 100, but is not limited thereto and may be performed through a separate server 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. However, this is an example of supervised learning, and it is possible to learn a neural network model based on unsupervised learning in which an artificial intelligence model is trained by inputting only input data without using recommended administrative information as output data. .

5A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.

According to an embodiment, according to FIG. 5A, before structural information on a space in which a system air conditioner is installed is identified (510), the processor 120 adjusts the intensity of wind emitted through a plurality of outlets to be the same, respectively. 1 drive module can be controlled. In this case, the temperature at each position may be different according to the structure of the space.

Meanwhile, according to an embodiment, when structure information on a space in which a system air conditioner is installed is obtained (520), the processor 120 may differently control the intensity of wind emitted through a plurality of outlets based on this information. According to an example, the processor 120 may first obtain a thermal image corresponding to the space and obtain structure information of the space based on the obtained thermal image. If the spaces in the upward direction (521) and the right direction (522) of the installed space are identified as being larger than the spaces in the other directions according to the acquired structure information of the space, the wind strength and the right direction corresponding to the upward direction (521) The first driving module may be controlled so that the wind strength corresponding to 522 is greater than the wind strength corresponding to the other directions.

According to another example, the processor 120 may control the second driving module to adjust angles of louvers provided in a plurality of outlets. For example, the processor 120 may adjust the angle of the louver corresponding to the upward direction 521 and the right direction 522 to control the second driving module so that the wind can be emitted farther than before the angle adjustment. there is.

Accordingly, the temperature of the space where the system air conditioner is installed can be maintained uniformly.

5B is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.

According to an embodiment, according to FIG. 5B, before structural information on a space where a system air conditioner is installed is identified (530), the processor 120 adjusts the intensity of wind emitted through a plurality of outlets to be the same, respectively. 1 drive module can be controlled. In this case, the temperature at each position may be different according to the structure of the space. For example, when the horizontal length of the space is relatively greater than the vertical length, temperatures of the spaces at both ends of the space may be different from those of the other spaces on the basis of the horizontal axis.

Meanwhile, according to an embodiment, when structural information on a space in which a system air conditioner is installed is acquired (540), the processor 120 may differently control the intensity of wind emitted through a plurality of outlets based on this. Alternatively, the processor 120 may adjust the angle of the louver corresponding to the plurality of outlets based on this.

According to an example, the processor 120 may first obtain a thermal image corresponding to the space and obtain structure information of the space based on the obtained thermal image. If the space in the left direction 541 and the right direction 542 of the installed space is identified as larger than the space in the other directions, the strength of the wind corresponding to the left direction 541 and the right direction ( The first driving module may be controlled so that the wind strength corresponding to 542) is greater than the wind strength corresponding to the other directions.

According to another example, the processor 120 may control the second driving module so that the wind can be emitted farther than before adjusting the angle by adjusting the angle of the louver corresponding to the left direction 541 and the right direction 542. there is.

Accordingly, the temperature of the space where the system air conditioner is installed can be maintained uniformly.

6A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.

According to an embodiment, according to FIG. 6A, before structural information on a space where a system air conditioner is installed is identified (610), the processor 120 adjusts the intensity of wind emitted through a plurality of outlets to be the same, respectively. 1 drive module can be controlled. In this case, the temperature at each location may be different according to the arrangement of objects.

Meanwhile, according to an embodiment, when arrangement information of an object in a space where a system air conditioner is installed is obtained (620), the processor 120 may differently control the intensity of wind emitted through a plurality of air outlets based on this information. . Alternatively, the processor 120 may differently adjust the angles of the louvers corresponding to the plurality of outlets based on this.

According to an example, the processor 120 may first obtain a thermal image corresponding to the space and obtain structure information of the space based on the obtained thermal image. When it is identified that the object 600 is disposed in the space in the left direction 522 of the installed space according to the acquired structure information of the space, the wind strength corresponding to the left direction 611 corresponds to the wind strength corresponding to the other directions. It is possible to control the first driving module to be smaller.

According to another example, the processor 120 may control the second driving module to adjust angles of louvers provided in a plurality of outlets. For example, the processor 120 may adjust the angle of the louver corresponding to the left direction 621 to control the second driving module so that the wind can be emitted in a shorter distance than before the angle adjustment.

Accordingly, the temperature of the space where the system air conditioner is installed can be maintained uniformly.

6B is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.

According to an embodiment, according to FIG. 6B, before structural information on a space in which a system air conditioner is installed is identified (530), the processor 120 adjusts the intensity of wind emitted through a plurality of outlets to be the same. 1 drive module can be controlled. In this case, the temperature at each position may be different according to the arrangement of the objects. For example, when a window is disposed in an upper right portion of a space, the upper right portion of the space may have a different temperature value than other spaces.

Meanwhile, according to an embodiment, when object arrangement information for a space in which a system air conditioner is installed is acquired (640), the processor 120 may differently control the intensity of wind emitted through a plurality of outlets based on this information. . Alternatively, the processor 120 may adjust the angle of the louver corresponding to the plurality of outlets based on this.

According to an example, the processor 120 may first obtain a thermal image corresponding to the space, and obtain object arrangement information in the space based on the obtained thermal image. If the space in the right direction 641 of the installed space is identified as larger than the space in the other directions according to the acquired object arrangement information, the wind strength corresponding to the right direction 641 corresponds to the wind strength corresponding to the other directions. It is possible to control the first driving module to be larger.

Accordingly, the temperature of the space where the system air conditioner is installed can be maintained uniformly.

7A is a diagram for explaining a control method of an electronic device according to an exemplary embodiment.

According to an embodiment, according to FIG. 7A , before user movement pattern information for a space where a system air conditioner is installed is identified (710), the processor 120 determines that the intensity of wind emitted through a plurality of outlets is the same. The first driving module may be controlled to do so. In this case, the temperature at each position may be different according to the structure of the space.

Meanwhile, according to an embodiment, when user movement pattern information for a space where a system air conditioner is installed is acquired (720), the processor 120 may differently control the intensity of wind emitted through a plurality of outlets based on this information. there is. According to an example, the processor 120 may first acquire a thermal image corresponding to a space, and based on this, obtain movement pattern information of the user. According to the acquired movement pattern information of the user, the processor 120 may identify the space as a dynamic space and a static space.

When the spaces in the upward direction 721 and the left direction 722 of the installed space are identified as static spaces, the wind strength corresponding to the upward direction 721 and the wind strength corresponding to the left direction 722 are measured in the other directions. The first driving module may be controlled to be smaller than the wind strength corresponding to .

According to another example, the processor 120 may control the second driving module to adjust angles of louvers provided in a plurality of outlets. For example, the processor 120 may control the second driving module so that the wind can be emitted in a shorter distance than before adjusting the angle by adjusting the angle of the louver corresponding to the upward direction 721 and the left direction 722. there is.

Accordingly, it is possible to efficiently use energy by adjusting the air volume or wind direction for a space in which the user does not move.

7B is a diagram for explaining a control method of an electronic device according to an embodiment.

According to FIG. 7B , according to an embodiment, before structural information on a space in which a system air conditioner is installed is identified (730), the processor 120 sets the first intensity of wind discharged through a plurality of outlets to be the same, respectively. The drive module can be controlled. However, when the user is located only in a specific space, there arises a problem in that the same wind does not need to be emitted to the rest of the space.

According to an embodiment, when user movement pattern information for a space in which a system air conditioner is installed is acquired (740), the processor 120 may differently control the intensity of wind emitted through a plurality of outlets based on this information. According to an example, the processor 120 may first acquire a thermal image corresponding to a space, and based on this, obtain movement pattern information of the user. According to the acquired movement pattern information of the user, the processor 120 may identify the space as a dynamic space and a static space.

If the spaces in the upward direction (721) and left direction (722) of the installed space are identified as static spaces according to the acquired movement pattern information, the wind strength corresponding to the upward direction (741) and the left direction (742) are identified. The first driving module may be controlled so that the intensity of the wind is smaller than the intensity of wind corresponding to the other directions.

Meanwhile, according to an example, in this case, the wind strength as well as the wind type may be identified. For example, the processor 120 may control the driving module to emit indirect wind in the dynamic space identified based on the user's movement pattern information, and control the driving module to emit direct wind in the static space. As another example, the processor 120 may control the driving module so that the wind strength of the plurality of outlets is the same when it is identified that the user does not move even though the user's location is identified based on the user's movement pattern.

Accordingly, it is possible to efficiently use energy by adjusting the air volume or wind direction for a space in which the user does not move.

8 is a diagram for explaining a detailed configuration of an electronic device according to an exemplary embodiment.

Referring to FIG. 8 , the electronic device 100' includes a memory 110, a processor 120, a thermal image sensor 130, a first driving module 140, a second driving module 150, and a communication interface 160. , a user interface 170, a speaker 180, and a microphone 190. Among the components shown in FIG. 8 , detailed descriptions of components overlapping those shown in FIG. 2 will be omitted.

The thermal image sensor 130 is a sensor that detects infrared energy emitted, transmitted, or reflected when an object is irradiated with infrared rays at a temperature of absolute 0 degrees (0°K) or higher, and obtains a temperature value based on this. According to an example, the thermal image sensor 130 may be a PIR sensor (Passive Infrared Sensor). The PIR sensor is an infrared human body detection sensor that can detect the motion of an object through infrared light, and can detect a change in the amount of infrared energy detected within a specific angular range and based on this, detect the motion of the object. According to another example, the thermal image sensor 130 may be an infrared array sensor. A sensor that radiates infrared rays and obtains a temperature value corresponding to a specific space in a grid form based on an infrared energy value reflected from a specific space where the infrared rays are irradiated, and identifies a specific space as a plurality of grids, and each A temperature value corresponding to the grid may be acquired.

According to an embodiment, the first driving module 140 is a module included in the system air conditioner, and is a module that adjusts the intensity of wind emitted through an outlet provided in the air conditioner or generates wind. In addition to this, the first driving module 140 may adjust the temperature of the wind discharged through the outlet or the type of wind. For example, the first driving module 140 may emit indirect wind or direct wind through an air outlet according to a command of the processor 120 .

According to one example, the first driving module 140 closes the air outlet (or discharge port) with blades provided in the air conditioner, and allows wind to be discharged through perforated holes provided in the blades (eg, non-wind airflow). method) You can also adjust the intensity of the wind emitted. According to another example, the first driving module may adjust the wind strength through a damper provided inside the air conditioner. A damper is a valve that stops or regulates the air flow of an air conditioner such as an air conditioner.

In addition, the processor 120 may adjust the strength of the wind emitted through the air outlet not only through the first driving module 140 but also through the second driving module 150 .

According to an embodiment, the second driving module 150 may adjust an angle of a louver corresponding to an air outlet provided in the air conditioner. According to an example, the processor 120 may adjust an opening degree (eg, an aperture ratio) of the air outlet (or discharge port) by adjusting the angle of the louver through the second driving module 150 .

The communication interface 160 may perform communication with a network device (not shown) such as another user terminal.

According to an embodiment, the communication interface 160 may include a wireless communication module, for example, a Wi-Fi module or a Bluetooth module. However, it is not limited thereto, and the communication interface 160 may be used in addition to the above-described communication method such as zigbee, 3rd generation (3G), 3rd generation partnership project (3GPP), long term evolution (LTE), LTE-A (LTE Advanced), 4G (4th Generation), 5G (5th Generation), etc., various wireless communication standards, infrared communication (IrDA, Infrared Data Association) technology, etc. may perform communication.

The user interface 170 is a component for the electronic device 100' to perform an interaction with a user. For example, the user interface 170 may include at least one of a touch sensor, a motion sensor, a button, a jog dial, a switch, a microphone, or a speaker, but is not limited thereto.

The speaker 180 includes a tweeter for high-pitched sound reproduction, a midrange for mid-range sound reproduction, a woofer for low-pitched sound reproduction, a subwoofer for extremely low-pitched sound reproduction, an enclosure for controlling resonance, and an input to the speaker. It may be made of a crossover network that divides the electric signal frequency to be band-by-band.

The speaker 180 may output a sound signal to the outside of the electronic device 100'. The speaker 180 may output multimedia reproduction, recording reproduction, various notification sounds, and voice messages. The electronic device 100' may include an audio output device such as a speaker 180, or may include an output device such as an audio output terminal. In particular, the speaker 180 may provide acquired information, information processed/produced based on the obtained information, a response result to a user's voice, or an operation result in the form of voice.

The microphone 190 may refer to a module that acquires sound and converts it into an electrical signal, and may be a condenser microphone, a ribbon microphone, a moving coil microphone, a piezoelectric element microphone, a carbon microphone, or a micro electro mechanical system (MEMS) microphone. In addition, non-directional, bi-directional, unidirectional, sub-cardioid, super-cardioid, and hyper-cardioid may be implemented.

9 is a flowchart illustrating a method of controlling an electronic device according to an exemplary embodiment.

According to the control method of the electronic device shown in FIG. 9 , first, location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a plurality of air outlets disposed in different directions is installed (S910).

Thereafter, location information and temperature information of each of a plurality of regions are input to the learned neural network model (S920).

Thereafter, at least one of structure information corresponding to the space or arrangement information of objects in the space is acquired (S930).

Thereafter, control information for controlling at least one of the operation of a plurality of tuyere or the intensity of wind emitted through the plurality of tuyere is obtained based on at least one of structure information corresponding to a space or arrangement information of an object in the space. (S940).

On the other hand, the electronic device is implemented as a system air conditioner, and the control method determines the intensity of wind emitted through at least one of a plurality of outlets based on at least one of structural information corresponding to a space or arrangement information of an object in the space, and the remaining wind strength The step of controlling to be different from the strength of the wind emitted through the louver angle of at least one of the plurality of outlets based on at least one of the structure information corresponding to the space or the arrangement information of the object in the space is different from the other louver angles A step of controlling to do so may be further included.

In addition, the electronic device is implemented as a server that controls the system air conditioner, and the control method may further include transmitting the obtained control information to the system air conditioner through a communication interface.

On the other hand, the control method includes the step of obtaining movement pattern information of a user in a space by inputting location information and temperature information corresponding to each of a plurality of regions to a learned neural network model, and controlling the space based on the user's movement pattern information in the space. It may further include identifying a static space and a dynamic space, and in step S940 , a plurality of air outlets are provided based on structure information corresponding to the space, arrangement information of objects in the space, and information on the identified static space and dynamic space. Control information for controlling at least one of the operation of or the intensity of wind emitted through a plurality of outlets may be obtained.

Here, the movement pattern information of the user in the space includes information on the movement pattern of the user over time, and the step of identifying the space as a static space and a dynamic space includes changing the space over time based on the movement pattern information of the user over time. Identifying the static space and the dynamic space in units of intervals and obtaining control information includes the operation of a plurality of tuyeres in units of time intervals based on the information on the identified static and dynamic spaces, or emitted through a plurality of tuyeres. Control information for controlling at least one of wind strength may be obtained.

Here, the step of obtaining the control information may include determining at least one of an operation of a first tuyere disposed in the static space direction among a plurality of tuyeres or an intensity of wind discharged through the first tuyere, and a second tuyere disposed in the dynamic space direction. Control information for controlling differently from at least one of the operation of the tuyere or the strength of the wind emitted through the second outlet may be obtained.

Also, in the step of identifying the space as a static space and a dynamic space, the space may be identified as a static space and a dynamic space based on movement pattern information of the user within the space and motion information of the user acquired in real time.

Meanwhile, the learned neural network model learns to acquire at least one of structure information corresponding to a specific space or arrangement information of an object in a specific space based on learning data including location information and temperature information corresponding to each of a plurality of regions. may be a model.

According to various embodiments described above, the operation of the air conditioner can be controlled according to spatial structure information obtained based on a thermal image, object arrangement information, and movement pattern information of a user. Accordingly, it is possible to efficiently operate the air conditioner according to the characteristics of the space, and the user's satisfaction can be improved.

Meanwhile, the methods according to various embodiments of the present disclosure described above may be implemented in the form of an application that can be installed in an existing electronic device. Alternatively, the above-described methods according to various embodiments of the present disclosure may be performed using a deep learning-based artificial neural network (or deep artificial neural network), that is, a learning network model. In addition, the methods according to various embodiments of the present disclosure described above may be implemented only by upgrading software or hardware of an existing electronic device. In addition, various embodiments of the present disclosure described above may be performed through an embedded server included in the electronic device or an external server of the electronic device.

Meanwhile, according to an exemplary embodiment of the present disclosure, the various embodiments described above may be implemented as software including instructions stored in a machine-readable storage media (eg, a computer). can A device is a device capable of calling a stored command from a storage medium and operating according to the called command, and may include a display device (eg, the display device A) according to the disclosed embodiments. When a command is executed by a processor, the processor may perform a function corresponding to the command directly or by using other components under the control of the processor. An instruction may include code generated or executed by a compiler or interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium does not contain a signal and is tangible, but does not distinguish whether data is stored semi-permanently or temporarily in the storage medium.

Also, according to one embodiment, the method according to various embodiments described above may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. The computer program product may be distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)) or online through an application store (eg Play Store™). In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a storage medium such as a manufacturer's server, an application store server, or a relay server's memory.

In addition, each of the components (eg, modules or programs) according to various embodiments described above may be composed of a single object or a plurality of entities, and some sub-components among the aforementioned sub-components may be omitted, or other sub-components may be used. Components may be further included in various embodiments. Alternatively or additionally, some components (eg, modules or programs) may be integrated into one entity and perform the same or similar functions performed by each corresponding component prior to integration. According to various embodiments, operations performed by modules, programs, or other components may be executed sequentially, in parallel, repetitively, or heuristically, or at least some operations may be executed in a different order, may be omitted, or other operations may be added. can

Although the preferred embodiments of the present disclosure have been shown and described above, the present disclosure is not limited to the specific embodiments described above, and is common in the technical field belonging to the present disclosure without departing from the gist of the present disclosure claimed in the claims. Of course, various modifications and implementations are possible by those with knowledge of, and these modifications should not be individually understood from the technical spirit or perspective of the present disclosure.

100: electronic device 110: memory
120: processor

Claims (16)

a memory in which a learned neural network model is stored;
Obtaining location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a plurality of air outlets arranged in different directions is installed,
Obtaining at least one of structure information corresponding to the space or arrangement information of objects in the space by inputting the obtained position information and temperature information to the learned neural network model;
Obtaining control information for controlling at least one of the operation of the plurality of outlets or the strength of wind emitted through the plurality of outlets based on at least one of structure information corresponding to the space and arrangement information of objects in the space An electronic device comprising a processor; According to claim 1,
The electronic device is implemented as the system air conditioner,
The system air conditioner,
thermal imaging sensor; and
a first driving module generating wind discharged to each of the plurality of outlets; and
A second driving module for adjusting angles of louvers provided in the plurality of air outlets; further comprising,
the processor,
Based on at least one of structure information corresponding to the space or arrangement information of an object in the space, the intensity of wind emitted through at least one of the plurality of outlets is different from the intensity of wind emitted through the other outlets. 1 control the drive module,
Based on at least one of structure information corresponding to the space or arrangement information of an object in the space, the second driving module is controlled so that the angle of at least one of the louvers of the plurality of outlets is different from the angle of the other louvers. Device. According to claim 1,
The electronic device is implemented as a server that controls the system air conditioner,
The server,
It further includes a communication interface;
An electronic device that transmits the obtained control information to the system air conditioner through the communication interface. According to claim 1,
the processor,
obtaining movement pattern information of a user in the space by inputting location information and temperature information of each of the plurality of regions to the learned neural network model;
Identifying the space as a static space and a dynamic space based on the user's movement pattern information in the space;
At least one of the operation of the plurality of outlets or the intensity of wind emitted through the plurality of outlets based on structure information corresponding to the space, arrangement information of objects in the space, and information on the identified static space and dynamic space. An electronic device that acquires control information for controlling one. According to claim 4,
The movement pattern information of the user in the space,
It includes the user's movement pattern information over time,
the processor,
Identifying the space as a static space and a dynamic space in units of time intervals based on the user's movement pattern information over time;
Obtaining control information for controlling at least one of the operation of the plurality of tuyeres or the strength of wind emitted through the plurality of tuyere units in units of the time interval based on the information on the identified static space and dynamic space. electronic device. According to claim 4,
the processor,
At least one of the operation of a first tuyere disposed in the static space direction or the strength of wind discharged through the first tuyere among the plurality of tuyere is controlled by the operation of a second tuyere disposed in the dynamic space direction or the second tuyere An electronic device that obtains control information for controlling differently from at least one of wind strength emitted through an air outlet. According to claim 4,
the processor,
An electronic device that identifies the space as a static space and a dynamic space based on movement pattern information of the user within the space and movement information of the user acquired in real time. According to claim 1,
The trained neural network model,
An electronic device learned to acquire at least one of structure information corresponding to a specific space or arrangement information of an object in the specific space based on learning data including location information and temperature information of each of a plurality of regions. In the control method of an electronic device,
obtaining location information and temperature information of each of a plurality of areas included in a space in which a system air conditioner having a plurality of air outlets disposed in different directions is installed;
acquiring at least one of structure information corresponding to the space or object arrangement information in the space by inputting position information and temperature information of each of the plurality of regions to the learned neural network model; and
Obtaining control information for controlling at least one of the operation of the plurality of outlets or the strength of wind emitted through the plurality of outlets based on at least one of structure information corresponding to the space and arrangement information of objects in the space A control method comprising the; step of doing. According to claim 9,
The electronic device is implemented as the system air conditioner,
The control method,
Based on at least one of structure information corresponding to the space or arrangement information of an object in the space, the intensity of the wind emitted through at least one of the plurality of outlets is controlled to be different from the intensity of the wind emitted through the others. step; and
Further comprising, controlling a louver angle of at least one of the plurality of outlets to be different from the rest of the louver angles based on at least one of structure information corresponding to the space or arrangement information of objects in the space. method. According to claim 9,
The electronic device is implemented as a server that controls the system air conditioner,
The control method,
Transmitting the obtained control information to the system air conditioner through a communication interface; further comprising a control method. According to claim 9,
Obtaining the control information,
obtaining movement pattern information of the user within the space by inputting location information and temperature information of each of the plurality of regions to the learned neural network model;
identifying the space as a static space and a dynamic space based on the user's movement pattern information within the space; and
At least one of the operation of the plurality of outlets or the intensity of wind emitted through the plurality of outlets based on structure information corresponding to the space, arrangement information of objects in the space, and information on the identified static space and dynamic space. Acquiring control information for controlling one; further comprising a control method. According to claim 12,
The movement pattern information of the user in the space,
It includes the user's movement pattern information over time,
Identifying the space as a static space and a dynamic space,
Identifying the space as a static space and a dynamic space in units of time intervals based on the user's movement pattern information over time;
Obtaining the control information,
Obtaining control information for controlling at least one of the operation of the plurality of tuyeres or the strength of wind emitted through the plurality of tuyere units in units of the time interval based on the information on the identified static space and dynamic space. control method. According to claim 12,
Obtaining the control information,
At least one of the operation of a first tuyere disposed in the static space direction or the strength of wind discharged through the first tuyere among the plurality of tuyere is controlled by the operation of a second tuyere disposed in the dynamic space direction or the second tuyere A control method for obtaining control information for controlling differently from at least one of the strengths of wind emitted through the tuyere. According to claim 12,
Identifying the space as a static space and a dynamic space,
The control method of identifying the space as a static space and a dynamic space based on the movement pattern information of the user within the space and the user's movement information obtained in real time. According to claim 9,
The trained neural network model,
Learning to acquire at least one of structure information corresponding to a specific space or arrangement information of an object in the specific space based on learning data including location information and temperature information of each of a plurality of regions.

Images