KR20220135943A - Method for controlling environment of target area by detecting occupancy of target area - Google Patents

Abstract

A method for controlling an environment of a target region by detecting occupancy of the target region in a server comprises the following steps of: collecting sensing data from a plurality of sensors installed in a target region; storing the collected sensing data in a database in a time sequential manner; determining whether the target region is occupied by applying a preset occupancy pattern to the sensing data for a predetermined time in the sensing data stored in a time sequential manner and generating occupancy information based on a result of determining whether the target region is occupied; and controlling at least one of a temperature, a lamp, an outlet, and ventilation of the target region based on the generated occupancy information.

Description

{METHOD FOR CONTROLLING ENVIRONMENT OF TARGET AREA BY DETECTING OCCUPANCY OF TARGET AREA}

The present invention relates to a method for controlling the environment of a target area by sensing the presence of a target area.

A thermostat is a device that automatically adjusts the temperature of a specific place to maintain the required constant value. The automatic thermostat has an advantage in that energy can be efficiently managed by automatically adjusting the indoor temperature by detecting the indoor temperature by itself. The conventional automatic temperature control device provides a function of automatically adjusting the room temperature by detecting the presence of occupants in the room through a separate occupancy detection device. The human body could not be detected, and thus there was a problem in that unnecessary energy wasted.

In addition, in the case of the conventional automatic standby power cutoff device, it is possible to cut off standby power, but the technology for automatically restoring the power of the blocked home appliance is not applied, so there is an inconvenience in that the user has to manually restore the power.

To improve this, by attaching an occupancy sensor to the personal computer or multi-tap when the power of the personal computer is turned off, when no human body is detected around the personal computer, the power of the multi-tap connected to the monitor, printer, etc. is cut off, A technology that restores power when a human body is detected has been developed and commercialized.

However, since this can be implemented only in limited places and devices such as a computer desk in an environment using a computer, there is a problem in that it is not practical.

In addition, a technology has been introduced that automatically cuts off standby power when the mechanical power button is OFF in the home appliance connected to the standby power automatic shutoff device, and then restores power at the same time when the user operates the mechanical power button to the ON state. As most of the power buttons of home appliances that consume power have been replaced with electronic touch buttons, this also has not been widely distributed due to the inconvenience of use.

Prior art: Korean Patent No. 10-0725925

An object of the present invention is to provide an environment control method for collecting sensing data from a plurality of sensors installed in a target area and storing the collected sensing data in a database in time series.

To provide an environment control method for determining whether a target area is occupancy by applying a preset occupancy pattern to sensing data for a predetermined time among the sensed data stored in time series, and generating occupancy information based on the determined occupancy. .

An object of the present invention is to provide an environment control method for controlling at least one of temperature, lighting, outlet, and ventilation of a target area based on occupancy information.

However, the technical problems to be achieved by the present embodiment are not limited to the technical problems described above, and other technical problems may exist.

As a means for achieving the above-described technical problem, an embodiment of the present invention includes the steps of: collecting sensing data from a plurality of sensors installed in a target area; storing the collected sensing data in a database time-series; determining whether the target area is occupant by applying a preset occupancy pattern to sensing data for a predetermined time among the sensed data stored in time series, and generating occupancy information based on the determined occupancy status; It is possible to provide an environment control method comprising controlling at least one of temperature, lighting, outlet, and ventilation of the target area based on occupancy information.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description.

According to any one of the above-described problem solving means of the present invention, the server collects sensing data from a plurality of sensors installed in a target area of a commercial target building, such as a factory, an office, etc., and for a predetermined time among the time-series stored sensing data By applying a preset occupancy pattern to the sensing data of It is possible to provide an environment control method for controlling the temperature, lighting, outlet, ventilation, etc. of the target area according to the occupancy or non-occupancy of the occupancy.

It is possible to provide an environment control method for controlling the AI terminal to differently adjust the temperature of the target area of the target building according to the occupancy state or the non-occupancy state based on occupancy information received from the server.

By applying a machine learning algorithm based on big data in a smart building by an AI terminal with a built-in smart sensor using IoT technology, it provides convenience and comfort to the target building and provides an environment control method that provides energy-saving operation can do.

It is possible to provide an environmental control method for preventing unnecessary energy waste by removing an element of unnecessary energy waste by detecting the presence of an innocent person.

1A is an exemplary diagram illustrating a smart building control system according to an embodiment of the present invention, and FIG. 1B is an exemplary diagram illustrating a target area of a target building in which an AI terminal according to an embodiment of the present invention is installed. .
2 is a flowchart of a method for controlling an environment of a target area by detecting the presence of a target area in a server according to an embodiment of the present invention.
3A and 3B are exemplary diagrams illustrating pulses for a body according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated, and one or more other features However, it is to be understood that the existence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded in advance.

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware.

Some of the operations or functions described as being performed by the terminal or device in this specification may be instead performed by a server connected to the terminal or device. Similarly, some of the operations or functions described as being performed by the server may also be performed in a terminal or device connected to the corresponding server.

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

1A is an exemplary diagram illustrating a smart building control system according to an embodiment of the present invention, and FIG. 1B is an exemplary diagram illustrating a target area of a target building in which an AI terminal according to an embodiment of the present invention is installed. . Referring to FIG. 1A , the smart building control system 1 includes a plurality of sensors 110 , a server 120 , and an AI terminal 130 .

Referring to FIG. 1B , the AI terminal 130 installed for each target area 101 of the target building 100 uses the air conditioning unit 102 , the lighting 103 , etc. to control the temperature, lighting, and outlet of the target area 101 . and ventilation, etc. can be controlled. Here, also, the target building 100 may be a commercial building such as a factory or an office.

In addition, the target area 101 may be divided for each floor of the target building 100 or for each zone of each floor.

Each component of the smart building control system 1 of FIG. 1A is generally connected through a network. For example, as shown in FIG. 1A , a plurality of sensors 110 or AI terminals 130 installed in each target area of a target building 100 may be connected to the server 120 at the same time or at a time interval.

The network refers to a connection structure in which information exchange is possible between each node such as terminals and servers, and examples of such networks include 3G, 4G, 5G, Wi-Fi, Bluetooth, Internet. , LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), and the like.

For example, the server 120 may be connected to a plurality of sensors 110 or AI terminals 130 installed in each target area of the target building 100 through a network. The network means a communication method between the server 120 and the plurality of sensors 110 or the AI terminal 130, and the network may be an Internet network (external network).

The plurality of sensors 110 may be installed in each target area 101 of the target building 100 . The plurality of sensors 110 may include a moving body detection sensor, a camera, a lidar sensor, a thermal image sensor, a far-infrared sensor, a speaker, and the like.

The plurality of sensors 110 may detect a moving body in the target area 101 , and may transmit sensing data for the detected moving body to the server 120 . For example, the plurality of sensors 110 may generate digitized sensing data such that a pulse for a moving body detected in the target area 101 is quantified, and transmit the generated sensing data to the server 120 .

For example, in the case of a moving body detecting sensor, the moving body detecting sensor may transmit an electromagnetic wave in a predetermined direction and receive a reflected electromagnetic wave reflected by the moving body. Here, the electromagnetic wave may have a frequency of 9Ghz to 15Ghz. In addition, the moving body detection sensor is configured with high sensitivity, so that even if the user 140 moves even a little, the moving body of the user 140 can be detected. The moving body detection sensor may generate digitized sensing data based on the reflected electromagnetic wave data, and transmit the generated sensing data to the server 120 .

The server 120 may collect sensing data from a plurality of sensors 110 installed in the target area 101 and store the collected sensing data in a database in time series.

The server 120 determines whether the target area 101 is occupancy by applying a preset occupancy pattern to the sensed data for a predetermined period of time-series stored sensing data, and generates occupancy information based on the determined occupancy. can do.

For example, the server 120 extracts data of more than a preset decibel (dB) from the sensed data for a predetermined time as motion data, and determines whether the target area 101 is occupancy or not based on the extracted motion data. It can be judged as one of the occupancy. Here, the server 120 may determine whether the target area 101 is occupant when the motion data is extracted from the sensing data for a predetermined time more than a preset number of times.

The server 120 may control the temperature, lighting, outlet, ventilation, etc. of the target area based on the generated occupancy information. To this end, the server 120 may transmit the occupancy information generated in order to control at least one of the temperature, lighting, outlet, and ventilation of the target area 101 by the AI terminal 130 to the AI terminal 130 .

In addition, the server 120 may detect whether occupancy is present by tracking the body of the user 140 in the target area 101 . For example, when the user 140 enters the office through the conference room in the target area 101, the server 120 detects the occupancy of the user 140 after the conference room is detected, the office is detected after the conference room is not detected. It is possible to track the body of the user 140 in the form. At this time, when the server 120 detects that there is no movement of the user 140 in the conference room after the user 140 moves to the office through the conference room, the server 120 may determine that there are occupants in the office.

The AI terminal 130 may manage the energy of the target area 101 . For example, the AI terminal 130 may be installed on each floor of the target building 100 to manage the energy of the corresponding floor. For another example, the AI terminal 130 may be installed for each zone of the corresponding floor of the target building 100 to manage energy in the corresponding zone.

The AI terminal 130 may include a temperature sensor that measures the indoor temperature of the target area 101 of the target building 100 . For example, the environmental sensor may include a CO ₂ sensor, a humidity sensor, and an air cleanliness measurement sensor.

The AI terminal 130 may collect energy use information of the target area 101 . Here, the energy use information includes energy usage of the target area 101 measured by the AI terminal 130 , heating/cooling information of the target area 101 , lighting information of the target area 101 , and outlet information of the target area 101 . and the like.

AI terminal 130 transmits the collected energy use information to the server 120 or a separate cloud server (not shown), and can receive a machine learning algorithm from the server 120 or a separate cloud server (not shown). have. For example, the AI terminal 130 may transmit energy use information to the server 120 or a separate cloud server (not shown) at every preset period. In contrast, when the AI terminal 130 includes a machine learning algorithm, the AI terminal ( 130) may be updated.

The AI terminal 130 may refine the collected energy use information into learning data through a preprocessing process of a machine learning algorithm. For example, the AI terminal 130 may refine broken data or data that is not normally collected with respect to the collected energy use information and refine it into learning data such as calculating an instantaneous value as an average value. The AI terminal 130 may receive occupancy information from the server 120 to control at least one of temperature, lighting, outlet, and ventilation of the target area 101 .

For example, when the AI terminal 130 determines that the target area 101 is occupancy based on the occupancy information received from the server 120, the AI terminal 130 operates the target area ( 101) can automatically adjust the temperature.

For example, when the AI terminal 130 determines that the target area 101 is not occupied based on the occupancy information received from the server 120, the target area 101 is illuminated according to the amount of illuminance of the illuminance sensor. can be turned on, or dimming of the illuminance can be controlled.

For example, when the AI terminal 130 determines that the target area is not occupancy based on the occupancy information received from the server 120, the AI terminal 130 controls the temperature of the target area 101 to be lowered or higher by a preset temperature. can do.

For example, when the AI terminal 130 determines that the target area 101 is non-occupancy based on the occupancy information received from the server 120 , turns off the lighting of the target area 101 or dims the illuminance. can be controlled In this case, whether or not to use the non-occupancy light-off function may be set remotely by an app of the AI terminal 130 or the manager terminal (not shown).

For example, when the AI terminal 130 determines that the target area is not occupied based on the occupancy information received from the server 120 , the AI terminal 130 cuts off standby power of the outlets of the target area 101 and after a preset time When it is determined that the target area 101 is occupant after a preset time based on the occupancy information of the , power of the outlets of the target area 101 may be restored.

According to an embodiment of the present invention, when the occupancy information received from the server 120 includes a non-occupancy of the target area 101 , the AI terminal 130 is a home appliance currently connected to the outlet of the AI terminal 130 . When the power consumption value of ' corresponds to the preset standby power cutoff value, the power of the corresponding outlet is controlled to be cut off, and after being cut off, the occupancy information received by the AI terminal 130 from the server 120 is displayed in the target area 101 . In the case of including the occupancy of the outlet, it can be controlled to restore the power of the corresponding outlet.

Standby power refers to power consumption in a standby condition in which the device does not perform a main function of the device or waits for a turn-on signal from the outside while the device is connected to an external power source.

At this time, if the power consumption value of the home appliance corresponds to the preset standby power cutoff value, the power of the corresponding outlet is cut off, and when the presence of the user 140 is detected, the standby power blocking technology to restore the power of the blocked outlet This applies. Here, the standby power cut-off technology is a technology that detects and blocks the standby power of the home appliance in the target area. When the power consumption is lower than the standby power cutoff value set by the user 140, it is a technology to cut it and save energy.

In the conventional case, it is possible to cut off standby power, but the technology for automatically recovering the power of a blocked home appliance is not applied, so there is an inconvenience in that the user has to manually restore the power.

However, in the present invention, when the AI terminal 130 receives occupancy information including the non-occupancy of the user 140 from the server 120, the AI terminal 130 sets the power consumption of the home appliance connected to the outlet in advance. If the value is less than the value, the power of the outlet is cut off, and then, when occupancy information including the occupancy of the user 140 after a preset time is received from the server 120, the power of the blocked outlet can be automatically restored. have.

In addition, in the existing standby power cut-off switch, the user 140 manually sets the standby power value and when standby power is detected and the power of the outlet is cut off, the user 140 has to manually restore the blocked outlet. However, in the present invention, by combining the occupancy detection technology with the standby power cut-off switch technology, the user 140 manually sets the standby power value and does not perform any action to restore the blocked outlet. Depending on whether or not the standby power is automatically cut off and the power of the automatically shut off outlet is restored, the user's convenience is increased, thereby preventing energy wastage due to the standby power.

The AI terminal 130 may be a temperature control switch, a lighting control switch, a standby power cutoff switch, a ventilation control switch, and may be an integrated switch for controlling at least one of temperature, lighting, outlet, and ventilation.

To this end, the AI terminal 130 learns the pattern of the target area 101 based on energy use information or occupancy, generates a temperature control schedule based on the pattern of the target area 101, and controls the generated temperature. Based on the schedule, it is possible to control the temperature, the lighting 103, the outlet and the ventilation.

In addition, the AI terminal 130 may adjust the temperature of the target area 101 based on information on one of a plurality of modes received from the manager terminal (not shown). The plurality of modes may include, for example, a power saving mode, a normal mode, and a comfortable mode.

The AI terminal 130 may measure and monitor the energy usage of the target area 101 .

Also, the AI terminal 130 may periodically collect instantaneous power for each outlet in the target area 101 to monitor standby power and cut off standby power. For example, the AI terminal 130 determines a power value corresponding to standby power for each outlet based on the collected instantaneous power for each outlet, and when the current instantaneous power is less than or equal to a power value corresponding to standby power for a preset time, The current instantaneous power may be determined as standby power.

The AI terminal 130 may predict the energy usage and expected charges after a preset time of the target area 101 of the target building 100 based on the measured energy usage and the temperature control schedule. In addition, the AI terminal 130 may predict the energy usage and expected charge after a preset time of the target area 101 for each mode for a plurality of modes from the manager terminal (not shown).

As another example, the AI terminal 130 may operate the ventilation device when the concentration of CO ₂ collected from the CO ₂ sensor according to the presence of the user 140 in the target area 101 exceeds a preset value. . For another example, the AI terminal 130 may operate the ventilation device when the humidity collected from the humidity sensor exceeds a preset value.

In addition, the AI terminal 130 may notify the crime prevention information based on the information collected from the crime prevention sensor installed in a preset area within the target area 101 .

In addition, the AI terminal 130 may participate in a demand response by receiving demand management information from a demand management server (not shown), and controlling the air conditioning unit in the target area 101 based on the demand management information. .

Also, the AI terminal 130 may detect an inflow of external air into the target area 101 .

In addition, the AI terminal 130 may monitor the CO ₂ concentration per unit time from information collected from the CO ₂ sensor, and detect the inflow of outside air based on the CO ₂ concentration per unit time.

In addition, the AI terminal 130 may output the temperature of the target area 101 , whether the user 140 is occupant, energy usage, the state of the lighting 103 , and the like. In addition, the AI terminal 130 may output energy usage and expected charges after a preset time.

Although not shown in FIGS. 1A and 1B , the smart building control system 1 may further include a separate cloud server (not shown). The cloud server (not shown) includes a machine learning algorithm, and may generate a machine learning algorithm for the target area 101 based on the energy use information received from the AI terminal 130 . Here, the energy use information includes energy usage of the target area 101 measured by the AI terminal 130, heating information of each room in the target area 101, lighting information of each room in the target area 101, and the target area ( 101) of each room outlet information, etc. may be included.

A cloud server (not shown) may periodically update the generated machine learning algorithm.

The cloud server (not shown) may transmit the machine learning algorithm generated and updated for the target area 101 to the AI terminal 130 .

The manager terminal (not shown) may request the AI terminal 130 to control the temperature, lighting, outlet, ventilation, etc. of the target area 101 by using an application associated with the AI terminal 130 . For example, when the target area 101 of the target building 100 is a special purpose room for research, such as a lab room, the manager terminal (not shown) uses an application associated with the AI terminal 130, and the target area 101 ) may be requested to the AI terminal 130 to control the temperature, lighting, outlet, and ventilation.

The manager terminal (not shown) may request automatic driving to the AI terminal 130 according to the pattern of the user 140 . For example, the manager terminal (not shown) may request the AI terminal 130 for pre-heating/cooling according to a time schedule, interference analysis of the user 140 according to a set temperature, and automatic operation according to occupancy.

The manager terminal (not shown) may present a manager mode to display usage and charge predictions for each mode on the display. Manager terminal (not shown) When any one of a plurality of modes is selected as the manager mode, information on the selected mode may be transmitted to the AI terminal 130 . The plurality of modes may include, for example, a power saving mode, a normal mode, and a comfortable mode.

2 is a flowchart of a method for controlling an environment of a target area by detecting the presence of a target area in a server according to an embodiment of the present invention. The method of controlling the environment of the target area 101 by detecting the presence of the target area 101 shown in FIG. 2 is time-series in the smart building control system 1 according to the embodiment shown in FIGS. 1A and 1B. steps to be processed. Therefore, even if omitted below, the method of controlling the environment of the target area 101 by sensing the presence of the target area 101 according to the embodiment shown in FIGS. 1A and 1B is also applied.

In step S210 , the server 120 may collect sensing data from a plurality of sensors 110 installed in the target area 101 . The sensed data may be, for example, a digitized pulse of a moving body sensed by the plurality of sensors 110 in the target area 101 . Here, the sensing data will be briefly described in detail with reference to FIGS. 3A and 3B .

3A and 3B are exemplary diagrams illustrating pulses for a body according to an embodiment of the present invention.

3A is an exemplary diagram illustrating a pulse for a moving body when there is no moving body in the target area 101 according to an embodiment of the present invention. Referring to FIG. 3A , when the moving body does not exist, it can be seen that the waveform of the pulse 310 for the moving body is relatively stable. At this time, when the moving body does not exist, the pulse 310 for the moving body may be amplified by each of the plurality of sensors 110 and then subjected to a noise removal 320 process to generate digitized sensing data.

3B is an exemplary diagram illustrating a pulse for a moving body when the moving body is present according to an embodiment of the present invention. Referring to FIG. 3B , when a moving body is present, it can be seen that the waveform of the pulse 330 for the moving body is distorted in the form of a high-frequency pulse or a low-frequency pulse by the moving body. At this time, when the moving body is present, the pulse 330 for the moving body may be amplified by each of the plurality of sensors 110 and then subjected to a noise removal 340 process to generate digitized sensing data.

In step S220, the server 120 may store the collected sensing data in a database time-series.

In step S230, the server 120 determines whether the target area is occupancy by applying a preset occupancy pattern to the sensed data for a predetermined time among the sensed data stored in time series, and generates occupancy information based on the determined occupancy. can do.

For example, in step S230, the server 120 extracts data of more than a preset decibel (dB) from the sensed data for a predetermined time as motion data, and whether the target area 101 is present based on the extracted motion data. may include the step of determining either occupancy or non-occupancy.

For another example, in step S230, the server 120 may include determining whether or not the target area 101 is occupant when the motion data is extracted from the sensing data for a predetermined time more than a preset number of times. .

In step S240 , the server 120 may control at least one of temperature, lighting, outlet, and ventilation of the target area 101 based on the generated occupancy information.

Although not shown in FIG. 2 , the method further includes transmitting the generated occupancy information to the AI terminal 130 so that at least one of temperature, lighting, outlet, and ventilation of the target area 101 is controlled by the AI terminal 130 . can do.

In the above description, steps S210 to S240 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order between the steps may be switched.

Conventionally, by detecting the user's movement in the target area in real time, the AI terminal determines whether the user is present in the target area. In this case, if the user exists in the target area but does not move, the AI terminal erroneously determines that the user is not present in the target area.

In order to improve this point, the present application stores the sensed data collected from a plurality of sensors in the server time-series and cumulatively in the database, so that when the user 140 actually exists in the target area 101 but no motion is detected It can provide an advantage that it is possible to determine whether the user 140 is occupant or not in the target area 101 according to the extraction frequency of a movement greater than or equal to a preset decibel using the sensed data for a predetermined time.

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. Also, computer-readable media may include computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The foregoing description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. 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 likewise components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: target building
110: a plurality of sensors
120: server
130: AI terminal

Claims (11)

A method for controlling an environment of a target area by detecting the presence of a target area in a server, the method comprising:
collecting sensing data from a plurality of sensors installed in the target area;
storing the collected sensing data in a database time-series;
determining whether the target area is occupant by applying a preset occupancy pattern to the sensed data for a predetermined time among the time-series stored sensing data, and generating occupancy information based on the determined occupancy; and
Controlling at least one of temperature, lighting, outlet, and ventilation of the target area based on the generated occupancy information
A method for controlling the environment, comprising:
The method of claim 1,
The step of generating the occupancy information includes:
extracting data of more than a preset decibel (dB) from the sensed data for the predetermined time as motion data; and
and determining whether the target area is occupant as either an occupant or a non-occupant based on the extracted motion data.
3. The method of claim 2,
The step of generating the occupancy information includes:
and determining whether the target area occupies the occupancy when the motion data is extracted more than a preset number of times from the sensed data for the predetermined time.
The method of claim 1,
The sensing data is a digitized pulse for a moving body sensed by the plurality of sensors in the target area.
The method of claim 1,
The method further comprising transmitting the generated occupancy information to the AI terminal so that at least one of temperature, lighting, outlet, and ventilation of the target area is controlled by the AI terminal.
6. The method of claim 5,
When it is determined that the target area is occupancy based on the occupancy information, the temperature of the target area is automatically adjusted through an operation of an artificial intelligence mode of the AI terminal.
6. The method of claim 5,
When it is determined that the target area is not occupancy based on the occupancy information, the lighting of the target area is turned on or dimming of the illuminance is controlled by the AI terminal according to the amount of illuminance of the illuminance sensor. .
6. The method of claim 5,
When it is determined that the target area is not occupancy based on the occupancy information, the temperature of the target area is lowered or increased by a preset temperature by the AI terminal.
6. The method of claim 5,
When it is determined that the target area is not occupied based on the occupancy information, the lighting of the target area is turned off or dimming of illuminance is controlled by the AI terminal.
6. The method of claim 5,
When it is determined that the target area is not occupancy based on the occupancy information, standby power of the outlets in the target area is cut off by the AI terminal, and based on the occupancy information after the preset time, after the preset time When it is determined that the target area is occupancy, the power of the outlets in the target area is restored by the AI terminal.
The method of claim 1,
Wherein the plurality of sensors include at least one of a moving body detection sensor, a camera, a lidar sensor, a thermal image sensor, a far-infrared sensor, and a speaker.

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