KR20240010525A - Ai switch based on occupancy - Google Patents

Abstract

The AI switch installed in each household includes a data collection unit that collects energy usage information for that household; an occupancy detection unit that generates occupancy information for the corresponding household; And a smart home control unit that controls at least one of temperature, lighting, outlets, and ventilation of the unit using a preset algorithm based on the energy use information or control information generated based on occupancy through the occupancy information. do. The presence detection unit includes a moving body information generator that detects and analyzes a high-frequency waveform in a preset range from frequency data and generates moving body information including the number and duration of repeated cycles of the high-frequency waveform. The occupancy status is determined based on the pattern of the occupancy information for a certain period of time, and the occupancy status is determined as occupancy, non-occupancy, and sleep based on the period and duration of the high-frequency waveform for the most recent time preset from the moving body information. It is judged to be at least one of the following.

Description

AI SWITCH BASED ON OCCUPANCY}

The present invention relates to an occupancy-based AI switch installed in each household of an apartment complex.

A thermostat is a device that automatically adjusts the temperature in a specific location to maintain the required level. Automatic thermostats have the advantage of efficiently managing energy by automatically detecting the indoor temperature and automatically adjusting the indoor temperature. Conventional automatic thermostats provide the function of automatically adjusting the indoor temperature by detecting the presence or absence of occupants in the room through a separate occupancy detection device. However, if the user is in a resting or sleeping state and does not move, the inactivity is detected. There was a problem that the human body could not be detected, resulting in unnecessary energy waste.

In addition, in the case of a conventional standby power automatic cutoff device, automatic standby power cutoff is possible, but the technology for automatically restoring power to cut off home appliances is not applied, so there is the inconvenience of having to manually restore power to the user.

To improve this, by attaching an presence sensor to the personal computer or power strip when the personal computer is turned off, the power to the power strip connected to the monitor, printer, etc., which is an accessory device, is cut off when no human body is detected around the personal computer. A technology to restore power when a human body is detected has been developed and commercialized.

However, this has the problem of being impractical because it can only be implemented in limited places and equipment, such as computer desks, in a computer-using environment.

In addition, technology has been introduced to automatically cut off standby power when the mechanical power button is in the OFF state in home appliances connected to an automatic standby power cutoff device, and then restore power at the same time when the user turns the mechanical power button to ON. As most power buttons on home appliances that consume power have been replaced with electronic touch buttons, these have not become widely available due to the inconvenience of use.

Prior art: Korean Patent No. 10-0725925

We would like to provide an AI switch that generates occupancy information for the corresponding household and determines whether the household is occupied based on the pattern of occupancy information for a certain period of time.

An AI switch that collects energy usage information for the household and controls at least one of the temperature, lighting, outlets, and ventilation of the household based on a preset algorithm based on the energy usage information or control information generated based on occupancy. We would like to provide.

However, the technical challenges that this embodiment aims to achieve are not limited to the technical challenges described above, and other technical challenges may exist.

As a means to achieve the above-described technical problem, an embodiment of the present invention includes a data collection unit that collects energy use information of the corresponding household; an occupancy detection unit that generates occupancy information for the corresponding household; And a smart home control unit that controls at least one of temperature, lighting, outlets, and ventilation of the unit using a preset algorithm based on the energy use information or control information generated based on occupancy through the occupancy information. We want to provide an AI switch that The presence detection unit includes a moving body information generator that detects and analyzes a high-frequency waveform in a preset range from frequency data and generates moving body information including the number and duration of repeated cycles of the high-frequency waveform. The occupancy status is determined based on the pattern of the occupancy information for a certain period of time, and the occupancy status is determined as occupancy, non-occupancy, and sleep based on the period and duration of the high-frequency waveform for the most recent time preset from the moving body information. It is judged to be at least one of the following.

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

According to one of the above-described means for solving the problems of the present invention, occupancy information for the corresponding household is generated through an AI switch installed in each household of the apartment complex, and whether the household is occupied is determined based on the pattern of the occupancy information for a certain period of time. It is possible to provide an AI switch that determines the state and classifies it into occupancy state, sleeping state, and non-occupancy state.

The energy usage information of that household is collected through the AI switch installed in each household of the apartment complex, and the AI switch reads the temperature of that household using a machine learning algorithm based on the energy usage information or control information generated based on occupancy. An AI switch can be provided that controls the device to be adjusted differently depending on the state, sleeping state, and non-occupancy state.

It is possible to provide an AI switch that combines the functions of a cooling/heating temperature controller with an existing standby power cutoff switch.

Through an AI switch with a built-in smart sensor using IoT technology, we will provide an AI switch that provides convenience and comfort in apartment complexes and provides energy-saving driving by applying machine learning algorithms based on big data in smart homes. You can.

It is possible to provide an AI switch that prevents unnecessary energy waste by eliminating elements of unnecessary energy waste by detecting the presence of non-actors.

FIG. 1A is an exemplary diagram illustrating a smart home system according to an embodiment of the present invention, and FIG. 1B is an exemplary diagram illustrating a household in which an AI switch is installed according to an embodiment of the present invention.
Figure 2 is a configuration diagram of an AI switch according to an embodiment of the present invention.
3A and 3B are exemplary diagrams showing frequency data according to an embodiment of the present invention.
Figure 4 is a flowchart of a method of controlling at least one of temperature, lighting, outlets, and ventilation of the corresponding household in an AI switch according to an embodiment of the present invention.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts that are not related to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected," but also the case where it is "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, this does not mean excluding other components unless specifically stated to the contrary, but may further include other components, and one or more other features. It should be understood that it does not exclude in advance the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In this specification, 'part' includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more pieces of hardware, and two or more units may be realized using one piece of hardware.

In this specification, some of the operations or functions described as being performed by a terminal or device may instead be performed on a server connected to the terminal or device. Likewise, some of the operations or functions described as being performed by the server may also be performed on a terminal or device connected to the server.

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

FIG. 1A is an exemplary diagram illustrating a smart home system according to an embodiment of the present invention, and FIG. 1B is an exemplary diagram illustrating a household in which an AI switch is installed according to an embodiment of the present invention. Referring to FIG. 1A, the smart home system 1 includes an AI switch 110 and a cloud server 120.

Referring to FIG. 1B, the AI switch 110 installed in each household of the apartment building 100 uses the air conditioning device 102, lighting device 103, etc. to control the temperature, lighting, outlets, and ventilation of the corresponding household 101. etc. can be controlled.

Each component of the smart home system 1 of FIG. 1A is generally connected through a network. For example, as shown in FIG. 1A, the AI switch 110 installed in each household of the apartment complex 100 may be connected to the cloud server 120 simultaneously or at time intervals.

A network refers to a connection structure that allows information to be exchanged between nodes such as terminals and servers. Examples of such networks include 3G, 4G, 5G, Wi-Fi, Bluetooth, and the Internet. , LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), etc., but are not limited thereto.

For example, the cloud server 120 may be connected to the AI switch 110 installed in each household of the apartment complex 100 through a network. The network refers to a communication method between the cloud server 120 and the AI switch 110, and the network may be an Internet network (external network).

The AI switch 110 is installed in each household of the apartment complex 100, and the AI switch 110 can manage the energy of the corresponding household 101.

The AI switch 110 may include a temperature sensor that measures the indoor temperature of the corresponding unit 101 of the apartment complex 100. For example, environmental sensors may include a CO ₂ sensor, a humidity sensor, and an air cleanliness measurement sensor.

The AI switch 110 can collect energy use information of the corresponding household 101. Here, the energy usage information includes the energy usage of the household 101 measured by the AI switch 110, heating information of each room of the household 101, lighting information of each room of the household 101, and the household It may include outlet information for each room in (101).

The AI switch 110 can refine the collected energy usage information into learning data through a preprocessing process of a machine learning algorithm. For example, the AI switch 110 can refine the collected energy use information into learning data, such as by refining broken data or data that is not normally collected and calculating instantaneous values as average values.

The AI switch 110 can generate occupancy information for the corresponding household 101. Here, the AI switch 110 may include occupancy detection means including a moving body sensor, a camera, a Lidar sensor, a thermal image sensor, and a far-infrared sensor.

For example, when the AI switch 110 includes a moving body detection sensor, the moving body detection sensor may transmit electromagnetic waves from the AI switch 110 in a preset direction and receive reflected electromagnetic waves reflected by the moving body. Here, electromagnetic waves may have a frequency of 9Ghz to 15Ghz. At this time, the AI switch 110 can extract frequency data from data of reflected electromagnetic waves, amplify the frequency data, and then remove noise.

Thereafter, the AI switch 110 may detect and analyze a high-frequency waveform in a preset range from the frequency data and generate moving body information including the period and duration of the high-frequency waveform.

The AI switch 110 can determine whether the corresponding household 101 is occupied based on the pattern of occupancy information for a certain period of time. For example, the AI switch 110 may determine occupancy as at least one of occupancy, non-occupancy, and sleep based on the period and duration of the high-frequency waveform for the most recent time preset from the moving body information.

The AI switch 110 can control the temperature, lighting 103, outlets, ventilation, etc. of the corresponding household 101 based on a preset algorithm based on energy usage information or control information generated based on occupancy.

For example, the AI switch 110 may be a temperature control switch, a lighting control switch, a standby power cutoff switch, a ventilation control switch, or an integrated switch that controls at least one of temperature, lighting, outlets, and ventilation.

To this end, the AI switch 110 learns the generation pattern of the corresponding household 101 based on energy usage information or occupancy, creates a temperature control schedule based on the generation pattern, and operates based on the generated temperature control schedule. Temperature, lighting (103), outlets, and ventilation can be controlled.

The AI switch 110 may operate in an artificial intelligence mode in which the AI switch 110 automatically adjusts the temperature of the household 101 when the household 101 is occupied.

The AI switch 110 can control the temperature of the corresponding household 101 to be lowered or raised by a preset temperature when the household 101 is not occupied.

The AI switch 110 can be controlled to turn off the lights of the corresponding household 101 or control dimming of the illumination intensity when the household 101 is not occupied. Here, the presence detection sensor is included in the AI switch 110 including the lighting control function, so that when the non-occupancy of the user 130 is detected, the light 103 connected to the AI switch 110 is turned off to provide convenience for the user 130. It can provide performance and energy savings at the same time. For example, the AI switch 110 turns on the light 103 in the occupancy state, turns the light 103 off or dims in the sleeping state, and turns the light 103 on in the non-occupancy state. It can be turned off.

In addition, the AI switch 110 continuously analyzes data from the presence detection sensor to analyze whether the user 130 is in a sleeping state, and automatically turns on the lighting 103 when it is determined that the user 130 is in a sleeping state. can be turned off.

The AI switch 110 blocks the standby power of the outlets of the household 101 when the occupancy status of the household 101 is changed from non-occupancy to occupied. , it can be controlled to restore power to the outlets of the corresponding household 101.

In the present invention, the AI switch 110, which is an automatic standby power cutoff switch, includes an occupancy detection sensor so that the non-occupancy of the user 130 is detected and the power consumption of the home appliance connected to the outlet of the standby power automatic cutoff switch is below a preset value. In this case, standby power automatic blocking technology is applied, which cuts off the power to the corresponding outlet and restores power to the blocked outlet when the presence of the user 130 is detected. Here, the standby power blocking technology is a technology that detects and blocks the standby power of home appliances, and is a technology that saves energy by blocking the standby power consumption when it is lower than the standby power blocking value set by the user 130.

In the conventional case, automatic shutdown of standby power was possible, but the technology for automatically restoring power to cut-off home appliances was not applied, so there was the inconvenience of requiring users to manually restore power.

However, in the present invention, the AI switch 110, which is a standby power automatic cutoff switch, includes an occupancy detection sensor, so that when the AI switch 110 detects the absence of the user 130, the home appliance connected to the outlet of the AI switch 110 When the power consumption of the product is below a preset value, the power to the corresponding outlet is cut off, and when the presence of the user 130 is detected, the power to the blocked outlet can be restored.

In addition, the existing standby power automatic cut-off switch has the inconvenience of having the user 130 manually set the standby power value and have to manually restore the blocked outlet when the standby power is detected and the outlet is turned off. However, in the present invention, by combining the standby power automatic disconnect switch technology with the occupancy detection technology, the user 130 can detect the presence of the user 130 without having to manually set the standby power value and perform any actions to restore the blocked outlet. Depending on availability, it automatically blocks standby power and automatically restores power to the blocked outlet, increasing user convenience and preventing energy waste due to standby power.

The AI switch 110 may operate in a sleep mode when the presence of the corresponding household 101 is sleep.

The AI switch 110 can control the lighting 103 of the corresponding household 101 to be turned off when the occupant of the corresponding household 101 is asleep.

When the occupancy status of the corresponding household 101 is sleeping, the AI switch 110 cuts off the standby power of the outlets of the corresponding household 101, and when the occupancy status of the corresponding household 101 changes from sleeping to occupancy, the AI switch 110 It can be controlled to restore power to the outlets of the household 101.

The AI switch 110 can determine whether each room in the corresponding household 101 is occupied.

The AI switch 110 controls the temperature, lighting, outlets, and ventilation of each room of the household 101 using a machine learning algorithm based on energy usage information or control information generated based on the occupancy of each room. You can.

The AI switch 110 may transmit the collected energy usage information to the cloud server 120 and receive an algorithm from the cloud server 120. For example, the AI switch 110 may transmit energy usage information to the cloud server 120 at preset intervals. On the other hand, when the AI switch 110 includes a machine learning algorithm, the updated algorithm is received based on the energy usage information collected from the cloud server 120 to update the machine learning algorithm included in the AI switch 110. can do.

In addition, the AI switch 110 can adjust the temperature of the corresponding household 101 based on information on one of a plurality of modes received from a user terminal (not shown). The plurality of modes may include, for example, power saving mode, normal mode, and comfort mode.

The AI switch 110 can measure and monitor the energy usage of the corresponding household 101.

Additionally, the AI switch 110 may periodically collect instantaneous power for each outlet within the household 101, monitor standby power, and block standby power. For example, the AI switch 110 determines a power value corresponding to standby power for each outlet based on the collected instantaneous power for each outlet, and if the current instantaneous power is less than or equal to the power value corresponding to standby power for a preset time, The current instantaneous power can be judged as standby power.

The AI switch 110 can predict energy usage and expected fees after a preset time of the corresponding household 101 based on the measured energy usage and temperature control schedule. In addition, the AI switch 110 can predict energy usage and expected fees after a preset time of the corresponding household 101 for each mode for a plurality of modes from a user terminal (not shown).

For another example, the AI switch 110 may operate the ventilation device when the CO ₂ concentration collected from the CO ₂ sensor exceeds a preset value depending on the presence of the user 130 in the corresponding household 101. . For another example, the AI switch 110 may operate a ventilation device when the humidity collected from the humidity sensor exceeds a preset value.

The AI switch 110 may notify crime prevention information based on information collected from a crime prevention sensor installed in a preset area within the corresponding household 101.

The AI switch 110 may participate in demand response by receiving demand management information from a demand management server (not shown) and controlling the air conditioning and heating devices in the corresponding household 101 based on the demand management information.

The AI switch 110 can detect the inflow of external air into the corresponding household 101.

The AI switch 110 may monitor CO ₂ concentration per unit time from information collected from the CO ₂ sensor and detect the inflow of external air based on the CO ₂ concentration per unit time.

The AI switch 110 can output the temperature of the corresponding household 101, whether the user 130 is present, the amount of energy used, and the status of the lighting 103. Additionally, the AI switch 110 can output energy usage and estimated fees after a preset time.

The cloud server 120 includes a machine learning algorithm and can generate a machine learning algorithm for the corresponding generation 101 based on the energy usage information received from the AI switch 110. Here, the energy usage information includes the energy usage of the household 101 measured by the AI switch 110, the heating information of each room of the household 101, the lighting information of each room of the household 101, and the household (101) 101) may include outlet information for each room.

The cloud server 120 may periodically update the generated machine learning algorithm.

The cloud server 120 may transmit the machine learning algorithm created and updated for the corresponding generation 101 to the AI switch 110.

The user terminal (not shown) uses an application associated with the AI switch 110 to receive input of the presence or absence of the user 130 and controls the temperature, lighting, outlets, ventilation, etc. of the corresponding household 101 (AI switch 110). ) can be requested.

A user terminal (not shown) may request automatic driving from the AI switch 110 according to the user's 130 pattern. For example, a user terminal (not shown) may request advance cooling or heating according to a time schedule, interference analysis of the user 130 according to a set temperature, automatic operation according to occupancy, etc., to the AI switch 110.

A user terminal (not shown) can present a user mode and display usage and fee predictions for each mode on the display. When one of the plurality of modes is selected as the user terminal (not shown), information about the selected mode can be transmitted to the AI switch 110. The plurality of modes may include, for example, power saving mode, normal mode, and comfort mode.

According to an embodiment of the present invention, the AI switch 110 determines the user occupancy in the corresponding household 101 as non-occupancy based on the occupancy data detected by the occupancy detection sensor of the AI switch 110 and sets the preset standby power. If the power consumption value used by home appliances currently connected to the outlet of the AI switch (110) is lower than the cutoff value, the power to the outlet is controlled to be cut off, and after being cut off, the occupancy detection sensor of the AI switch (110) detects the presence of the power. If this is detected, it can be controlled to restore power to the corresponding outlet. Whether to use the standby power automatic shutdown and recovery function can be set remotely using the AI switch 110 or a smartphone app.

According to another embodiment of the present invention, the AI switch 110 monitors the occupancy data detected by the occupancy detection sensor of the AI switch 110 for a certain period of time to determine whether the user in the corresponding household 101 is present and sleeping, If it is determined that the user is not present or sleeping for a certain period of time, the light 103 connected to the AI switch 110 can be turned off by turning off the power. At this time, whether to use the non-occupant lights off function and the lights off function when sleeping can be remotely set using the AI switch 110 or an app on the user terminal (not shown).

Figure 2 is a configuration diagram of an AI switch according to an embodiment of the present invention. 1A to 2, the AI switch 110 includes an environmental sensor 210, a data collection unit 220, an occupancy detection unit 230, an occupancy determination unit 240, and a smart home control unit 250. can do.

The environmental sensor 210 may include a temperature sensor that measures the indoor temperature of the corresponding household 101 of the apartment complex 100. For example, the environmental sensor 210 may include a CO ₂ sensor, a humidity sensor, and an air cleanliness measurement sensor.

The data collection unit 220 may collect energy use information of the corresponding household 101. Here, the energy usage information includes the energy usage of the household 101 measured by the AI switch 110, the heating information of each room of the household 101, the lighting information of each room of the household 101, and the household (101) 101) may include outlet information for each room.

The occupancy detection unit 230 may generate occupancy information for the corresponding household 101.

The occupancy detection unit 230 may include occupancy detection means including a moving body sensor, a camera, a Lidar sensor, a thermal image sensor, and a far-infrared sensor.

When the occupancy detection unit 230 includes a moving body detection sensor 231, the occupancy detection unit 230 may include a frequency extraction unit 232, a preprocessing unit 233, and a moving body information generation unit 234. .

The moving body detection sensor 231 may transmit electromagnetic waves in a preset direction from the AI switch 110 and receive reflected electromagnetic waves reflected by the moving body. Here, electromagnetic waves may have a frequency of 9Ghz to 15Ghz.

The moving body detection sensor 231 is configured to have high sensitivity and can detect the moving body of the user 130 even when the user 130 moves even slightly.

The frequency extractor 232 may extract frequency data from data of reflected electromagnetic waves.

The preprocessor 233 can remove noise after amplifying the frequency data. Frequency data will be explained in detail through FIGS. 3A and 3B.

In addition, the occupancy detection unit 230 can detect occupancy by tracking the user's 130 body in the corresponding household 101. For example, when the user 130 enters the large room through the living room within the corresponding household 101 and sleeps, the occupancy detection unit 230 detects the user 130's presence in the living room, then detects the large room, and then detects the living room. After detection, the moving body of the user 130 can be detected in the form of not detecting a large room or not detecting a living room. At this time, if the occupancy detection unit 230 detects that there is no movement of the user 130 after the user 130 moves to the large room through the living room, it may determine that there are occupants in the large room. .

3A and 3B are exemplary diagrams showing frequency data according to an embodiment of the present invention.

FIG. 3A is an exemplary diagram showing frequency data when there is no body according to an embodiment of the present invention. Referring to FIG. 3A, it can be seen that when the moving body does not exist, the waveform of the frequency data 310 appears relatively stable. At this time, when the moving object does not exist, the frequency data 310 may be derived as a waveform of the frequency data 320 amplified by the frequency extractor 232 and the preprocessor 233 and then noise removed.

Figure 3b is an exemplary diagram showing frequency data when a moving body exists according to an embodiment of the present invention. Referring to FIG. 3B, when a moving body exists, it can be seen that the waveform of the frequency data 330 is distorted by the moving body into a high-frequency pulse shape or a low-frequency pulse shape. At this time, when a moving object exists, the frequency data 330 may be derived as a waveform of the frequency data 340 amplified by the frequency extractor 232 and the preprocessor 233 and then noise removed.

Returning to FIG. 2 , the moving body information generator 234 may detect and analyze a high-frequency waveform in a preset range from the frequency data and generate moving body information including the period and duration of the high-frequency waveform. For example, the moving body information generator 234 may detect and analyze a high-frequency waveform in a preset range from the frequency data, thereby generating moving body information including the number and duration of the cycle in which the high-frequency waveform was repeated.

The occupancy determination unit 240 may determine whether the corresponding household is occupied based on a pattern of occupancy information for a certain period of time.

If the occupancy information collected during the preset recent time is not used, the occupancy state and the non-occupancy state may occur together depending on whether intermittent tossing and turning is detected during the user 130's sleep time, so the corresponding household ( This is because 101) cannot accurately determine whether the user 130 is present.

In addition, when determining occupancy based on occupancy information generated during a preset recent time, the purpose is to exclude the possibility of incorrectly determining that a non-occupancy state is an occupancy state due to temporary noise.

The occupancy determination unit 240 may determine occupancy as at least one of occupancy, non-occupancy, and sleep based on the period and duration of the high-frequency waveform for the most recent time preset from the moving body information.

The smart home control unit 250 can control the temperature, lighting, outlets, ventilation, and illuminance sensors of the corresponding household 101 based on a preset algorithm based on energy usage information or control information generated based on occupancy. . Here, the preset algorithm may be a machine learning algorithm generated based on energy usage information. For example, the smart home controller 250 may control the temperature of the corresponding household 101 by controlling the air conditioner 102 of the corresponding household 101 based on a preset algorithm or control information.

The smart home control unit 250 may cause the AI switch 110 to operate in an artificial intelligence mode that automatically adjusts the temperature of the corresponding household 101 when the household 101 is occupied.

If the household 101 is occupied, the smart home controller 250 may turn on the lights of the household or control dimming of the lighting according to the illuminance level of the illuminance sensor.

If the household 101 is not occupied, the smart home controller 250 can control the temperature of the household 101 to be lowered or raised by a preset temperature.

The smart home control unit 250 may cause the AI switch 110 to operate in sleep mode when the occupancy of the corresponding household 101 is sleep. Here, the sleep mode may increase the temperature to a preset temperature (e.g., +A°C) in the case of heating after a certain time (t+1), and switch to the artificial intelligence mode when converted to the occupied state.

The smart home controller 250 may turn off the lights 103 of the corresponding household 101 or control dimming of the illumination intensity when the household 101 is not occupied.

The smart home controller 250 may control the lighting 103 of the corresponding household 101 to be turned off when the occupant of the corresponding household 101 is asleep.

The smart home control unit 250 can control the light 103 to turn on or not turn on based on setting information when the occupancy status of the corresponding household 101 changes from non-occupancy to occupancy or sleeping. there is.

The smart home control unit 250 may block the standby power of the outlets of the corresponding household 101 when the household 101 is not occupied. For example, if the power consumption monitored by the AI switch 110 is less than a certain watt (W), the smart home controller 250 may block the standby power of the corresponding outlets.

When the occupancy status of the corresponding household 101 changes from non-occupant to occupied, the smart home control unit 250 may control to restore power to the outlets of the corresponding household 101.

The smart home control unit 250 may block the standby power of the outlets of the corresponding household 101 when the occupant of the corresponding household 101 is sleeping. Thereafter, when the occupancy status of the corresponding household 101 changes from sleeping to occupancy, the smart home control unit 250 can control to restore power to the outlets of the corresponding household 101.

The occupancy determination unit 240 may determine whether each room of the corresponding household 101 is occupied.

The smart home control unit 250 controls the temperature, lighting, outlets, and ventilation of each room of the household 101 using a machine learning algorithm based on energy usage information or control information generated based on the occupancy of each room. You can control it to do so.

In addition, the AI switch 110 may further include an energy usage monitoring unit (not shown) and a lighting control unit (not shown).

The energy usage monitoring unit (not shown) can measure and monitor the energy usage of the corresponding household 101.

The lighting control unit (not shown) may control the lighting 103 of the corresponding household 101 based on a preset algorithm, control information, or control by the user 130.

Figure 4 is a flowchart of a method of controlling at least one of temperature, lighting, outlets, and ventilation of the corresponding household using an AI switch installed in each household according to an embodiment of the present invention. The method of controlling at least one of the temperature, lighting, outlet, and ventilation of the household performed by the AI switch 110 installed in each household shown in FIG. 4 is smart home control according to the embodiment shown in FIGS. 1A to 3B. It includes steps that are processed in time series in system (1). Therefore, even if the content is omitted below, a method of controlling at least one of the temperature, lighting, outlet, and ventilation of the household performed by the AI switch 110 installed in each household according to the embodiment shown in FIGS. 1A to 3B It also applies to

In step S410, the AI switch 110 installed in each household can collect energy use information for that household.

In step S420, the AI switch 110 installed in each household can generate occupancy information for that household.

In step S430, the AI switch 110 installed in each household may determine whether the household is occupied based on a pattern of occupancy information for a certain period of time.

In step S440, the AI switch 110 installed in each household controls at least one of temperature, lighting, outlets, and ventilation of the household based on a preset algorithm based on energy usage information or control information generated based on occupancy. You can.

In the above description, steps S410 to S440 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present invention. Additionally, some steps may be omitted or the order between steps may be switched as needed.

Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and non-volatile media, removable and non-removable media. Additionally, computer-readable media may include computer storage media. Computer storage media includes both volatile and non-volatile, 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 description of the present invention described above is for illustrative purposes, and those skilled in the art will understand that the present invention can be easily modified into other specific forms without changing the technical idea or essential features of the present invention. will be. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

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

100: apartment complex
110: AI switch
120: Cloud server
210: environmental sensor
220: Data collection unit
230: Occupancy detection unit
231: Moving body detection sensor
232: Frequency extraction unit
233: Preprocessing unit
234: Fuselage information generation unit
240: Occupancy judgment unit
250: Smart home control unit

Claims (14)

In the AI switch installed in each household,
A data collection unit that collects energy use information for the household;
an occupancy detection unit that generates occupancy information for the corresponding household; and
A smart home control unit that controls at least one of temperature, lighting, outlets, and ventilation of the household using a preset algorithm based on the energy use information or control information generated based on occupancy through the occupancy information; ,
The presence detection unit includes a moving body information generator that detects and analyzes a high-frequency waveform in a preset range from frequency data and generates moving body information including the number and duration of repeated cycles of the high-frequency waveform,
Regarding the presence of the above,
It is determined based on the pattern of the occupancy information for a certain period of time,
AI switch, wherein the occupancy is determined as at least one of occupancy, non-occupancy, and sleep based on the period and duration of the high-frequency waveform for the most recent time preset from the moving body information.
According to claim 1,
The occupancy detection unit includes a moving body detection sensor, a camera, and a Lidar sensor.
An AI switch that includes an occupancy detection means further including at least one of a sensor), a thermal image sensor, and a far-infrared sensor.
According to claim 2,
When the presence detection unit includes the moving body detection sensor, the moving body detection sensor transmits electromagnetic waves in a preset direction from the AI switch and receives reflected electromagnetic waves reflected by the moving body,
The presence detection unit is a frequency extraction unit that extracts the frequency data from the data of the reflected electromagnetic wave.
AI switch, which further includes.
According to claim 3,
The occupancy detection unit is a preprocessor that amplifies the frequency data and then removes noise.
AI switch, which further includes.
According to claim 1,
The smart home control unit causes the AI switch to operate in an artificial intelligence mode that automatically adjusts the temperature of the household when the household is occupied.
According to claim 1,
The smart home control unit determines whether the household is occupied based on a preset algorithm based on the energy use information or control information generated based on the occupancy status, and when the household is occupied, the smart home controller controls the household according to the amount of illumination of the illuminance sensor. AI switch turns on the lights or controls the dimming of the illuminance.
According to claim 1,
The smart home control unit controls the temperature of the household to be lowered or raised by a preset temperature when the household is not occupied.
According to claim 1,
The smart home control unit is an AI switch that turns off the lights of the corresponding household or controls dimming of the illumination intensity when the corresponding household is not occupied.
According to claim 1,
When the occupancy status of the relevant household is non-occupant, the smart home control unit blocks standby power of the outlets of the relevant household, and when the occupancy status of the relevant household changes from non-occupant to occupied, the smart home control unit blocks the standby power of the outlets of the relevant household. AI switch, which controls to restore power.
According to claim 1,
The smart home control unit causes the AI switch to operate in a sleep mode when the occupancy of the corresponding household is sleep.
According to claim 1,
The smart home control unit controls the lights of the corresponding household to turn off when the household is asleep.
According to claim 1,
When the occupancy status of the corresponding household is sleeping, the smart home controller cuts off the standby power of the outlets of the corresponding household, and when the occupancy status of the corresponding household changes from sleeping to occupancy, turns on the power of the outlets of the corresponding household. AI switch, which controls recovery.
According to claim 1,
The energy usage information includes at least one of the energy usage of the household, heating information of each room of the household, lighting information of each room of the household, and outlet information of each room of the household, AI switch.
According to claim 1,
The preset algorithm is a machine learning algorithm generated based on the energy usage information.