KR20180065600A - Home energy management system - Google Patents

Abstract

Embodiments of the present invention provides a home energy management system capable of considering various spaces in a home, an environment of a space and the like and efficiently reducing energy by receiving control data of a package air conditioner covering a plurality of indoor spaces and sensing data on indoor spaces through repeating through a repeater and outputting a control command through big data analysis and machine learning analysis by a machine learning engine and repeating the outputted control command through a repeater to control the package air conditioner. The home energy management system comprises a machine controller, a first repeater, an indoor sensor unit, a second repeater, a home energy controller, and a home energy management server.

Description

Home Energy Management System {HOME ENERGY MANAGEMENT SYSTEM}

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a home energy management system, and more particularly, to a home energy management system capable of efficiently reducing energy in consideration of various spaces and spatial environments in a groove.

Recently, as a part of the green energy business, the importance of the Home Energy Management System (HEMS) for the Smart Grid has been growing as the Smart Grid is getting attention.

The home energy management system is a device for efficiently managing the energy consumption of home appliances by utilizing the Smart Grid, which includes general appliances (refrigerator, washing machine, etc.), renewable energy (solar, wind, etc.) , A fuel cell, and the like.

Currently, most residential energy management systems are implemented in a home server with automatic control level based on a home network system. In most cases, energy consumption information is provided to users by day / week / month through IHD (In-Home Display) Based on this information, encourage voluntary energy savings through awareness of energy consumption. Accordingly, the government is making policy efforts to promote green homes through various incentives and regulations to encourage energy saving and use of green energy.

Recently, Home Energy Management System (HEMS: Home Energy Management System), which is equipped with monitoring and analysis function of energy consumption in existing home server, has been developed and supplied mainly to new apartments. And control functions linked to network technology.

Such a home energy management system has a merit that the user can induce the user to take an action to save energy by voluntarily grasping the actual energy consumption in the home by providing the energy consumption information to the user in a specific form.

On the other hand, the introduction of various renewable energy such as solar energy, solar heat, geothermal energy, and wind power is actively being considered in response to the international and continuous increase in energy prices and the risk of environmental destruction. Especially, in the case of solar power generation, the case of applying to buildings in the form of BIPV (Building Integrated Photovoltaic system) is increasing.

However, this conventional home energy management system only provides simple energy consumption, so there is no information on patterns and devices that use energy consumption inefficiently, and there is a difficulty in maintaining user participation persistence in voluntary energy saving . In addition, for efficient BIPV control, optimized energy charging / discharging control and common energy related equipment control such as condenser control, electric blind, horizontal canopy, etc. are taken into consideration in consideration of energy consumption status information and weather information. Central control is required.

On the other hand, the housing of the countries in the Middle East is usually a two to three-storey single-family house, and operates a large number of air conditioners.

These Middle East buildings are equipped with a number of air conditioners in order to operate the air conditioner efficiently, and these air conditioners are controlled by zone, that is, each floor or section, or each air conditioner is equipped with a temperature controller, The operation of the air conditioner was controlled according to the temperature of the installed space.

However, this conventional method operates only in accordance with temperature regardless of whether there are people or not, when there are several spaces (room 1, room 2, living room, etc.) in the building controlled by temperature. Therefore, there is a problem that the air conditioner is operated even in a space where there is no human being, thereby wasting energy.

In addition, it is difficult to integrate control of many air conditioners that use a large amount of energy in a building, and it is difficult to monitor them individually. Therefore, a plan to reduce unnecessary energy wastage is urgently sought.

On the other hand, users in the Middle East do not change the air conditioner temperature once set. However, the user changes the temperature setting by season or at a specific time. Looking at the season (seasonally), during February to October, the user does not perform the temperature operation after setting the specific temperature. During November through January, the user does not use or at least uses the package air conditioner (A / C).

If you look at morning, lunch, and evening by day, the user will use the fixed value once and do not change it. However, the daily temperature of the Middle East reveals that the daily variations of morning, lunch and evening are quite large.

However, the countries of the Middle East are countries where the oil money base is accumulated, and the air conditioner is always on as a desert country. In particular, Kuwait is supporting 95% of the electricity rate in the country, and it habitually operates the air conditioner throughout the year, which is a waste problem.

Korean Patent Publication No. 10-2016-0047015 (published on May 02, 2016)

Embodiments of the present invention include receiving control data of a package air conditioner covering a plurality of indoor spaces and sensed data of an indoor space through a relay through a repeater and controlling the data through analysis of big data and analysis of machine learning by a machine learning engine A home energy management system capable of efficiently saving energy in consideration of various spaces and spatial environments inside a groove by calculating a command and controlling the package air conditioner by relaying the calculated control command through a repeater .

According to a first aspect of the present invention, there is provided an air conditioner comprising: a device conditioner that adjusts a cooling air conditioner package air conditioner through a duct connected to each of a plurality of indoor spaces; A first repeater for receiving conditioning data for adjusting the package air conditioner from the device conditioner and relaying the received conditioning data; An indoor sensor unit for sensing an indoor environment of each of the plurality of indoor spaces; A second relay for receiving sensing data from the indoor sensor unit and relaying the received sensing data; A home energy controller for collecting and processing relayed control and sensing data from the first and second repeaters; And receiving the adjustment and sensing data from the home energy controller in a big data format and building the database into a database and analyzing the received adjustment and sensing data based on the constructed database with a big data analysis and a machine learning analysis by a machine learning engine And a home energy management server for calculating the control command and transmitting the calculated control command to the home energy controller, wherein the home energy controller transmits the calculated control command via the first relay to the device controller And the device controller may be provided with a home energy management system for controlling the package air conditioner according to the transmitted control command.

The home energy management system includes: a solar cell system that supplies power generated by a solar cell to the package air conditioner as an auxiliary power source; A power meter for measuring an amount of power consumed in the package air conditioner and an amount of generated power generated in the solar cell system; And a third repeater for relaying the consumed and generated power amount measured by the power meter to the home energy controller, wherein the home energy management server calculates the control and sensing data and the consumption and generation power amount by a machine learning engine Big data analysis and machine learning analysis can be performed to calculate the control command.

The home energy management system includes: an outdoor sensor unit for sensing an outdoor environment of a groove to generate outdoor sensing data; And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller, wherein the home energy management server transmits the control and sensing data and the outdoor sensing data to a large data analysis and machine It is possible to calculate the control command by processing through the running analysis.

Wherein the home energy management system further comprises at least one external home server connected to the home energy management server through an external network and providing a reference database for machine learning to the home energy management server, The management server can calculate the control command by processing the adjustment and sensing data based on the constructed database and the reference database provided from the external home server through the big data analysis and the machine learning analysis by the machine learning engine.

The indoor sensor unit may further include at least one of a temperature sensor, a humidity sensor, a heat sensor, a occupant sensor, and an infrared sensor.

The home energy management server reflects the adjustment priority in combination with at least one of the priority for each indoor space, the priority for each room, the priority for each room, and the limit range for each indoor space in the big data analysis and machine learning analysis, Can be calculated.

According to a second aspect of the present invention, there is provided an air conditioner comprising: a device controller for controlling a cooling air conditioner package air conditioner through a duct connected to each of a plurality of indoor spaces; An indoor sensor unit for sensing an indoor environment of each of the plurality of indoor spaces; A first repeater for receiving adjustment data for adjusting the package air conditioner from the device conditioner, receiving sensing data from the indoor sensor unit, and relaying the received conditioning and sensing data; A home energy controller for collecting and processing relayed control and sensing data from the first repeater; And receiving the adjustment and sensing data from the home energy controller in a big data format and building the database into a database and analyzing the received adjustment and sensing data based on the constructed database with a big data analysis and a machine learning analysis by a machine learning engine And a home energy management server for calculating the control command and transmitting the calculated control command to the home energy controller, wherein the home energy controller transmits the calculated control command via the first relay to the device controller And the device controller may be provided with a home energy management system for controlling the package air conditioner according to the transmitted control command.

The home energy management system includes: a solar cell system that supplies power generated by a solar cell to the package air conditioner as an auxiliary power source; A power meter for measuring an amount of power consumed in the package air conditioner and an amount of generated power generated in the solar cell system; And a third repeater for relaying the consumed and generated power amount measured by the power meter to the home energy controller, wherein the home energy management server calculates the control and sensing data and the consumption and generation power amount by a machine learning engine Big data analysis and machine learning analysis can be performed to calculate the control command.

The home energy management system includes: an outdoor sensor unit for sensing an outdoor environment of a groove to generate outdoor sensing data; And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller, wherein the home energy management server transmits the control and sensing data and the outdoor sensing data to a large data analysis and machine It is possible to calculate the control command by processing through the running analysis.

Wherein the home energy management system further comprises at least one external home server connected to the home energy management server through an external network and providing a reference database for machine learning to the home energy management server, The management server can calculate the control command by processing the adjustment and sensing data based on the constructed database and the reference database provided from the external home server through the big data analysis and the machine learning analysis by the machine learning engine.

The indoor sensor unit may further include at least one of a temperature sensor, a humidity sensor, a heat sensor, a occupant sensor, and an infrared sensor.

The home energy management server reflects the adjustment priority in combination with at least one of the priority for each indoor space, the priority for each room, the priority for each room, and the limit range for each indoor space in the big data analysis and machine learning analysis, Can be calculated.

Embodiments of the present invention include receiving control data of a package air conditioner covering a plurality of indoor spaces and sensed data of an indoor space through a relay through a repeater and controlling the data through analysis of big data and analysis of machine learning by a machine learning engine And controlling the package air conditioner by relaying the calculated control command through the repeater, energy can be efficiently saved in consideration of various spaces and spatial environments in the groove.

1 and 2 are views showing the operation of a package air conditioner installed in a groove according to embodiments of the present invention.
3 is a block diagram of a home energy management system according to a first embodiment of the present invention.
4 is a configuration diagram of a home energy management system according to a second embodiment of the present invention.
5 is a configuration diagram of a home energy management system according to a third embodiment of the present invention.
6 is a configuration diagram of a home energy management system according to a fourth embodiment of the present invention.
FIG. 7 is a view showing a room layout and a cooling operation in which the home energy management system according to the first embodiment of the present invention is installed.
8 is a view showing a room layout and a cooling operation in which the home energy management system according to the third embodiment of the present invention is installed.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. The present invention will be described in detail with reference to the portions necessary for understanding the operation and operation according to the present invention. In describing the embodiments of the present invention, description of technical contents which are well known in the art to which the present invention belongs and which are not directly related to the present invention will be omitted. This is for the sake of clarity of the present invention without omitting the unnecessary explanation.

In describing the constituent elements of the present invention, the same reference numerals may be given to constituent elements having the same name, and the same reference numerals may be given to different drawings. However, even in such a case, it does not mean that the corresponding component has different functions according to the embodiment, or does not mean that it has the same function in different embodiments, and the function of each component is different from that of the corresponding embodiment Based on the description of each component in FIG.

1 and 2 are views showing the operation of a package air conditioner installed in a groove according to embodiments of the present invention.

First, prior to the description of FIG. 1 and FIG. 2, a description will be given of building characteristics of the Middle East where the package air conditioner applied to the embodiments of the present invention is installed.

Generally, the buildings in the Middle East are northbound. I am on the north side of every window. And the buildings in the Middle East are inhabited by people from all over the world. In the case of general houses, multi-family members live together in the second or third floor building.

A package air conditioner is installed in such a building to perform the cooling operation of the house. The package air conditioner can be installed as a loop top air conditioner. Looking at the roof-top package air conditioner, duct ventilation and ventilation systems are installed on the roof. Depending on the size, five to eight tuyeres may be installed.

One package air conditioner covers 2 to 3 or 2.5 rooms or rooms.

These packaged air conditioners are directly connected to the roof air conditioner and the thermostat. There is one thermostat connected to each package air conditioner.

Looking at the general three-story building structure, there is a living room and a reception room on the ground floor of the building. There is a living room and a room on the 1st Floor. The 3rd Floor (2nd Floor) has a room and a laundry / housekeeper room. Rooftop has an air conditioning system and a power terminal box.

On the other hand, in the general three-story and underground-based building structure, there is a living room, a prayer room and a room on the first basement of the building. The ground floor of the building has a living room, a reception room and a room. There is a living room and a room on the 1st Floor. The 3rd Floor (2nd Floor) has a living room, a room and a laundry / housekeeper room. Rooftop has an air conditioning system and a power terminal box.

In the meantime, let's look at air conditioner operation patterns that users of the Middle East operate package air conditioners.

For the basics, the user does not change the temperature once it is set by default. However, the user changes the temperature setting by season or at a specific time.

Looking at the season (seasonally), during February to October, the user does not perform the temperature operation after setting the specific temperature. During November through January, the user does not use or at least uses the package air conditioner (A / C).

On a season by season basis, families will leave their homes during the summer, during the Christmas season and during Ramadan, and if they live only in Housekeeper, they will maintain a minimal energy use. The floor where the Housekeeper resides exists as a separate space.

If you look at morning, lunch, and evening by day, the user will use the fixed value once and do not change it. Looking at the weather conditions of the Middle East, the daily variations of morning, lunch and dinner are quite large.

The cooling operation in the characteristics and the room layout of the package air conditioner applied to the home energy management system according to the embodiments of the present invention will be described.

1 and 2, the package air conditioner 101 may be installed as a roof top packaged air conditioner. In the roof of the building in which the package air conditioner 101 is installed, a ventilation duct in the form of a duct and a ventilation system are installed. Depending on the size of the tuyere, five to eight tanks can be installed.

One package air conditioner 101 can cover 2 to N, or 2.5 rooms or rooms. But is not limited to the number of specific rooms.

For example, as shown in FIG. 1 (a), the package air conditioner 101 performs a cooling operation through a duct 102 connected to a room 1 and a room 2, which are a plurality of indoor spaces.

As shown in FIG. 1 (b), the package air conditioner 101 performs a cooling operation through a duct 102 connected to a room 1 and a living room, which are a plurality of indoor spaces.

2 (a), the package air conditioner 101 performs a cooling operation through a duct 102 connected to the rooms 1, 2, and the living room, which are a plurality of indoor spaces.

As shown in FIG. 2 (b), the package air conditioner 101 performs a cooling operation through a duct 102 connected to a room 1, a kitchen, and a living room, which are a plurality of indoor spaces.

2 (a), the package air conditioner 101 performs a cooling operation through a duct 102 connected to the rooms 1, 2, 3, and 4 to N, which are a plurality of indoor spaces.

The device controller 110 controls the package air conditioner 101 connected to the plurality of indoor spaces or the living room, respectively.

The package air conditioner 101 is directly connected to the roof air conditioner blowing system and the device controller 110 in a 1: 1 ratio. There is one thermostat connected to each package air conditioner. Here, the temperature control can be controlled by a temperature controller or a remote controller.

One device controller 110 directly connected to the package air conditioner 101 is installed in any one of a plurality of spaces covered by the package air conditioner 101. The device controller 110 may be present in room 1 or in living room 1. Here, it is not installed in Room 2. The device controller 110 does not exist in Room 3 either.

3 is a block diagram of a home energy management system according to a first embodiment of the present invention.

3, the home energy management system 100 according to the first embodiment of the present invention includes a device controller 110, a first repeater 120, an indoor sensor unit 130, a second repeater 140 ), A home energy controller (11), and a home energy management server (12).

The specific configuration and operation of each component of the home energy management system 100 according to the first embodiment of the present invention will be described below.

The device controller 110 controls the air conditioner 101 that performs the cooling operation through a duct 102 connected to each of a plurality of indoor spaces. The device controller 110 is a thermostat for controlling the package air conditioner 101, and is connected to each package air conditioner 1: 1. The device controller 110 may communicate with the first repeater 120 via wire or wireless. For example, the device controller 110 may communicate with the first repeater 120 based on Power Line Communication (PLC).

And the first repeater 120 receives conditioning data to adjust the package air conditioner 101 from the device conditioner 110. [ The first repeater 120 relays the received adjustment data to the home energy controller 11. Here, the first repeater 120 can relate control data and control commands to the device controller 110 and the home energy controller 11 using PLC communication, respectively.

The indoor sensor unit 130 senses indoor environments for a plurality of indoor spaces, respectively. Here, the indoor sensor unit 130 may include at least one indoor sensor 131 of a temperature sensor, a humidity sensor, a heat sensor, a occupant sensor, and an infrared sensor. The indoor sensor unit 130 can communicate with the first repeater 120 through wired or wireless communication. For example, the indoor sensor unit 130 includes a Bluetooth (BLE) -based on / humidity sensor, periodically measures temperature and humidity by the home energy controller 11 via the first relay 120, have.

The device controller 110 can communicate with the first repeater 120 based on power line communication (PLC).

The second repeater 140 receives sensing data from the indoor sensor unit 130 and relays the sensed data to the home energy controller 11. Here, the second repeater 140 may collect a Bluetooth Beacon Scanner, a Universally Unique IDentifier (UUID) and signal strength information, and transmit the collected information to a home energy controller (11).

The home energy controller 11 then collects and processes the relayed conditioning and sensing data from the first and second repeaters 120 and 140. Here, the home energy controller 11 receives and processes the sensing data (e.g., temperature, humidity, occupant, occupant position information, etc.) collected from two or more repeaters and transmits the sensed data to the home energy management server 12, And transmits the set temperature and humidity information received from the energy management server 12 to the device controller.

The home energy management server 12 receives adjustment and sensing data from the home energy controller 11 in a big data format and builds it into a database. Then, the home energy management server 12 processes the adjustment and sensing data received from the home energy controller 11 based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine, . Then, the home energy management server 12 transmits the calculated control command to the home energy controller 11. As described above, the home energy management server 12 is a server existing in the system, receives data collected from the home energy controller 11 and stores the data in a database, and performs a big data analysis and a machine learning analysis through a machine learning engine (For example, a temperature set value) to the home energy controller 11. [

Here, the home energy management server 12 reflects the adjustment priority combined with at least one of the priorities by the indoor space, the priority by time, the priority by the room, and the limit range by the indoor space in the big data analysis and machine learning analysis So that the control command can be calculated.

Then, the home energy controller 11 transmits the control command calculated by the home energy management server 12 to the device controller 110 via the first repeater 120. Then, the device controller 110 adjusts the package air conditioner 101 in accordance with the control command transmitted from the first repeater 120.

Meanwhile, the home energy management system 100 according to the first embodiment of the present invention may further include a solar cell system 170, a power meter 150, and a third repeater 160.

The solar cell system 170 provides the power generated by the solar cell to the package air conditioner 101 as an auxiliary power source. Here, the solar cell system 170 is a solar-based PV module (including an inverter), and can provide power generation information to the power meter 150.

The power meter 150 measures the amount of power consumed in the package air conditioner 101 and the amount of generated power generated in the solar cell system 170. Here, the power meter 150 measures the amount of power consumed by connecting to the solar cell system 170 and the package air conditioner 101, and transmits the measured power consumption to the third repeater 160 using RS485 communication.

The third repeater 160 relays the consumption and generated power measured by the power meter 150 to the home energy controller 11. The third repeater 160 may transmit the power information to the home energy controller 11 using the PLC communication and the power meter 150 connected to the package air conditioner 101 and the solar cell system 170.

Then, the home energy management server 12 receives the adjustment and sensing data and the consumed and generated power amount from the home energy controller 11. Then, the home energy management server 12 can process the control and sensing data and the consumption and power generation amount through a big data analysis and a machine learning analysis by a machine learning engine to calculate a control command.

Meanwhile, the home energy management system 100 according to the first embodiment of the present invention may further include an outdoor sensor unit 180 and a fourth relay unit 190.

The outdoor sensor unit 180 senses the outdoor environment of the groove and generates outdoor sensing data. Here, the outdoor sensor unit 180 can measure the external temperature / humidity and the like through the weather station and transmit it to the fourth relay unit 190.

The fourth relay 190 relays the outdoor sensing data generated by the outdoor sensor 180 to the home energy controller 11. Here, the fourth repeater 190 may collect outside temperature and humidity data of the outdoor environment and transmit it to the home energy controller 11 using PLC communication.

Then, the home energy management server 12 receives the adjustment and sensing data and the outdoor sensing data from the home energy controller 11. Then, the home energy management server 12 may process control and sensing data and outdoor sensing data through a big data analysis and a machine learning analysis by a machine learning engine to calculate control commands.

Meanwhile, the home energy management system 100 according to the first embodiment of the present invention may further include at least one external home server 13.

The external home server 13 is connected to the home energy management server 12 through an external network and provides a reference database for machine learning to the home energy management server 12. [ Here, the external home server 13 is an external server, and can provide a reference database for machine learning so that the home energy management server 12, which performs machine learning, can support the database so as to provide more effective results have.

Thereafter, the home energy management server 12 processes the adjustment and sensing data based on the constructed database and the reference database provided from the external home server 13 through a big data analysis and a machine learning analysis by a machine learning engine, Command can be calculated.

Meanwhile, the home energy controller 11 can communicate with the user terminal so as to monitor or control the state of the inside of the home using a user terminal (e.g., smart phone, smart pad, etc.) possessed by an external user.

4 is a configuration diagram of a home energy management system according to a second embodiment of the present invention.

4, the home energy management system 100 according to the second embodiment of the present invention includes a device controller 110, a first repeater 110, An indoor sensor unit 130, a second repeater 140, a home energy controller 11, and a home energy management server 12.

The second embodiment of the present invention will be described focusing on differences from the first embodiment.

First, the package air conditioner 101 applied to the second embodiment of the present invention comprises a plurality of package air conditioners 101. The device controller 110 also has a plurality of device controllers 110 connected to the plurality of package air conditioners 101 to control the package air conditioner 101 connected thereto.

For example, package air conditioner # 1, package air conditioner # 2, ... , And a package air conditioner #X is installed in the home. Correspondingly, device controller # 1, device controller # 2, ... , Device controller #X, package air conditioner # 1, package air conditioner # 2, ... , And the package air conditioner #X, respectively.

The first repeater 120 receives a plurality of control data for controlling the plurality of package air conditioners 101 from a plurality of device controllers. The first repeater 120 relays the received plurality of adjustment data to the home energy controller 11.

Then, the home energy controller 11 collects and processes a plurality of control data and sensing data relayed from the first and second repeaters 120 and 140.

The home energy management server 12 receives a plurality of adjustment data and sensing data from the home energy controller 11 in a big data format and constructs the database as a database. Thereafter, the home energy management server 12 processes a plurality of adjustment data and sensing data received from the home energy controller 11 based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine And calculates a plurality of control commands for each package air conditioner. Then, the home energy management server 12 transmits the calculated plurality of control commands to the home energy controller 11.

Then, the home energy controller 11 individually transmits the plurality of control commands calculated by the home energy management server 12 to the respective device controllers 110 via the first repeater 120. Then, the plurality of device controllers 110 respectively adjust the package air conditioner 101 according to the control command transmitted from the first repeater 120, respectively.

5 is a configuration diagram of a home energy management system according to a third embodiment of the present invention.

5, the home energy management system 100 according to the third embodiment of the present invention includes a device controller 110, a first repeater 120, an indoor sensor unit 130, a home energy controller 11 And a home energy management server 12.

The specific configuration and operation of each component of the home energy management system 100 according to the third embodiment of the present invention will be described below.

The device controller 110 controls the air conditioner 101 that performs the cooling operation through a duct 102 connected to each of a plurality of indoor spaces.

The indoor sensor unit 130 senses indoor environments for a plurality of indoor spaces, respectively. Here, the indoor sensor unit 130 may include at least one of a temperature sensor, a humidity sensor, a heat sensor, a occupant sensor, and an infrared sensor.

And the first repeater 120 receives conditioning data to adjust the package air conditioner 101 from the device conditioner 110. [ In addition, the first relay 120 receives the sensing data from the indoor sensor unit 130. The first repeater 120 relays the received adjustment and sensing data to the home energy controller 11.

Thereafter, the home energy controller 11 collects and processes the relayed control and sensing data from the first relay 120.

The home energy management server 12 receives adjustment and sensing data from the home energy controller 11 in a big data format and builds it into a database. Then, the home energy management server 12 processes the adjustment and sensing data received from the home energy controller 11 based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine, . Then, the home energy management server 12 transmits the calculated control command to the home energy controller 11.

Here, the home energy management server 12 reflects the adjustment priority combined with at least one of the priorities by the indoor space, the priority by time, the priority by the room, and the limit range by the indoor space in the big data analysis and machine learning analysis So that the control command can be calculated.

Then, the home energy controller 11 transmits the control command calculated by the home energy management server 12 to the device controller 110 via the first repeater 120. Then, the device controller 110 adjusts the package air conditioner 101 in accordance with the control command transmitted from the first repeater 120.

Meanwhile, the home energy management system 100 according to the third embodiment of the present invention may further include a solar cell system 170, a power meter 150, and a third repeater 160.

The solar cell system 170 provides the power generated by the solar cell to the package air conditioner 101 as an auxiliary power source.

The power meter 150 measures the amount of power consumed in the package air conditioner 101 and the amount of generated power generated in the solar cell system 170.

The third repeater 160 relays the consumption and generated power measured by the power meter 150 to the home energy controller 11.

Then, the home energy management server 12 receives the adjustment and sensing data and the consumed and generated power amount from the home energy controller 11. Then, the home energy management server 12 can process the control and sensing data and the consumption and power generation amount through a big data analysis and a machine learning analysis by a machine learning engine to calculate a control command.

Meanwhile, the home energy management system 100 according to the third embodiment of the present invention may further include an outdoor sensor unit 180 and a fourth relay unit 190.

The outdoor sensor unit 180 senses the outdoor environment of the groove and generates outdoor sensing data.

The fourth relay 190 relays the outdoor sensing data generated by the outdoor sensor 180 to the home energy controller 11.

Then, the home energy management server 12 receives the adjustment and sensing data and the outdoor sensing data from the home energy controller 11. Then, the home energy management server 12 may process control and sensing data and outdoor sensing data through a big data analysis and a machine learning analysis by a machine learning engine to calculate control commands.

Meanwhile, the home energy management system 100 according to the third embodiment of the present invention may further include at least one external home server 13.

The external home server 13 is connected to the home energy management server 12 through an external network and provides a reference database for machine learning to the home energy management server 12. [

Thereafter, the home energy management server 12 processes the adjustment and sensing data based on the constructed database and the reference database provided from the external home server 13 through a big data analysis and a machine learning analysis by a machine learning engine, Command can be calculated.

6 is a configuration diagram of a home energy management system according to a fourth embodiment of the present invention.

6, the home energy management system 100 according to the fourth embodiment of the present invention includes a device controller 110, a first repeater 110, a second repeater 110, An indoor sensor unit 130, a home energy controller 11, and a home energy management server 12.

The fourth embodiment of the present invention will be described focusing on differences from the third embodiment.

First, the package air conditioner 101 applied to the fourth embodiment of the present invention comprises a plurality of package air conditioners 101. The device controller 110 also has a plurality of device controllers 110 connected to the plurality of package air conditioners 101 to control the package air conditioners 101 connected thereto.

For example, package air conditioner # 1, package air conditioner # 2, ... , And a package air conditioner #X is installed in the home. Correspondingly, device controller # 1, device controller # 2, ... , Device controller #X, package air conditioner # 1, package air conditioner # 2, ... , And the package air conditioner #X, respectively.

The first repeater 120 receives a plurality of control data for controlling the plurality of package air conditioners 101 from the plurality of device controllers 110. The first repeater 120 relays the received plurality of adjustment data to the home energy controller 11.

Then, the home energy controller 11 collects and processes a plurality of control data and sensing data relayed from the first repeater 120.

The home energy management server 12 receives a plurality of adjustment data and sensing data from the home energy controller 11 in a big data format and constructs the database as a database. Thereafter, the home energy management server 12 processes a plurality of adjustment data and sensing data received from the home energy controller 11 based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine And calculates a plurality of control commands for each package air conditioner (101). Then, the home energy management server 12 transmits the calculated plurality of control commands to the home energy controller 11.

Then, the home energy controller 11 individually transmits the plurality of control commands calculated by the home energy management server 12 to the respective device controllers 110 via the first repeater 120. Then, the plurality of device controllers 110 respectively adjust the package air conditioner 101 according to the control command transmitted from the first repeater 120, respectively.

FIG. 7 is a view showing a room layout and a cooling operation in which the home energy management system according to the first embodiment of the present invention is installed.

As shown in FIG. 7, the package air conditioner 101 performs the cooling operation in the room 1 and the room 2 through the duct 102 connected to the room 1 and the room 2, respectively. The package air conditioner 101 regulates the temperature of the rooms 1 and 2 by the blowing intensity and the blowing temperature.

The indoor sensor unit 130 includes sensors A, B, C, and D, respectively. Each sensor is connected to the second repeater 140 to transmit sensing data to the home energy controller 11 through the second repeater 140.

The first repeater 120 receives the adjustment data for adjusting the package air conditioner 101 from the device conditioner 110 and relays the received adjustment data to the home energy controller 11. [

In a groove in which the home energy management system 100 according to the first embodiment of the present invention is not installed, the desired temperature of the occupant of room 1 and the occupant of room 2 may be different. In this case, the room temperature is maintained in the same manner according to the setting of room 1. [ Here, the bodily sensation temperature (degree of coldness) is sensed at a position where air blown through the air outlet of the duct 102 is cooled more coldly. Sensor A or sensor C> sensor B or sensor D depending on the position in which each sensor is installed.

If room 1 is empty and room 2 is occupied, if the room 2 temperature is kept the same according to the setting of room 1, the room temperature of room 1 can not be controlled and energy may be wasted.

Meanwhile, the home energy management system 100 according to the first embodiment of the present invention automatically controls the temperatures of the room 1 and the room 2 through the communication between the device controller 110 and the first and second repeaters 120 and 140 Can be adjusted. This is to save wasted energy.

If room 1 is vacant and only room 2 is occupied, home energy management system 100 provides sensing data sensed by each sensor and control data from appliance controller 110 to home energy management server 12 It is possible to automatically calculate the blowing intensity and the blowing temperature of the package air conditioner 101 by calculating the control command through the big data analysis and the machine learning.

8 is a view showing a room layout and a cooling operation in which the home energy management system according to the third embodiment of the present invention is installed.

As shown in FIG. 8, the package air conditioner 101 performs the cooling operation to the rooms 1, 2, and the living room through the duct 102 connected to the rooms 1, 2, and the living room, respectively. The package air conditioner 101 regulates the temperature of room 1, room 2 and living room by the blowing intensity and the blowing temperature.

The indoor sensor unit 130 includes sensors A, B, C, D, E and F, respectively. Each sensor is connected to the first repeater 120 to transmit sensing data to the home energy controller 11 through the first repeater 120.

The first repeater 120 receives adjustment data for adjusting the package air conditioner 101 from the device controller 110 and the first repeater 120 receives the control data from the sensor A, the sensor B, the sensor C, Sensor D, sensor E, and sensor F, respectively. In addition, the first repeater 120 relays the received control data to the home energy controller 11.

In a groove in which the home energy management system 100 according to the third embodiment of the present invention is not installed, the desired temperature of the occupant of room 1 may differ from that of occupant of room 2 and occupant of living room. In this case, the room temperature is maintained in the same manner according to the setting of room 1. [ Here, the bodily sensation temperature (degree of coldness) is sensed at a position where air blown through the air outlet of the duct 102 is cooled more coldly. Sensor A, sensor C or sensor E> sensor B, sensor D or sensor F depending on the position where each sensor is installed.

At this time, the device controller 110 exists only in the living room, and the temperature is adjusted on the living room basis.

If the living room and the room 1 are empty, and the room 2 is occupied only by the occupant in the room 2, if the room temperature of the room 2 is maintained according to the setting of the living room, .

Meanwhile, the home energy management system 100 according to the third embodiment of the present invention can automatically adjust the temperatures of the rooms 1, 2, and the living room through communication between the device controller 110 and the first repeater 120 . This is to save wasted energy.

If room 1 and the living room are vacant and only room 2 is occupied, home energy management system 100 transmits sensing data sensed by each sensor and control data from appliance controller 110 to home energy management server 12, It is possible to automatically control the blowing intensity and the blowing temperature of the package air conditioner 101 by calculating the control command through the big data analysis and the machine learning.

In the meantime, the air conditioning control priority in the room layout in which the package air conditioner 101 is applied will be described. For example, a room layout divided into a living room, a kitchen, a room 1, a room 2, and a bedroom 5 is assumed. It is not limited to a specific room layout.

If the priorities are individually considered, the home energy management server 12 sets priorities differently according to the representative room as the indoor space. For example, the home energy management server 12 can set priorities for the indoor spaces in the order of the first floor living room, the second floor living room, and the third floor living room.

Next, the home energy management server 12 sets priorities differently according to the time priority. For example, the home energy management server 12 may set different priorities by dividing into weekday or weekend and morning, afternoon, and night (sleep).

Then, the home energy management server 12 sets priorities differently according to the threshold value range of each indoor space. For example, the home energy management server 12 may set different priorities so that the home energy management server 12 operates in the upper and lower limits of the set temperature in accordance with the discrimination characteristics of the living room, the kitchen, and the room.

In addition, the home energy management server 12 may set priorities differently according to the priority of each room in consideration of the indoor space occupied by the occupants.

As shown in Table 1, when the plurality of priorities are combined, the home energy management server 12 determines at least one of the priority for each indoor space, the priority for each room, the priority for each room, The control command can be calculated using the combined adjustment priority.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or essential characteristics thereof. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: Home Energy Management System 101: Package Air Conditioner
102: duct 110:
120: first repeater 130: indoor sensor unit
131: Indoor sensor 140: Second repeater
150: Power meter 160: Third repeater
170: solar cell system 180: outdoor sensor unit
190: Fourth repeater 11: Home energy controller
12: home energy management server 13: external home server

Claims (12)

A device controller for controlling a cooling air conditioner package air conditioner through ducts respectively connected to a plurality of indoor spaces;
A first repeater for receiving conditioning data for adjusting the package air conditioner from the device conditioner and relaying the received conditioning data;
An indoor sensor unit for sensing an indoor environment of each of the plurality of indoor spaces;
A second relay for receiving sensing data from the indoor sensor unit and relaying the received sensing data;
A home energy controller for collecting and processing relayed control and sensing data from the first and second repeaters; And
Receiving the adjustment and sensing data from the home energy controller in a big data format and constructing the database as a database and analyzing the received adjustment and sensing data based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine And a home energy management server for calculating the control command and transmitting the calculated control command to the home energy controller,
Wherein the home energy controller transmits the calculated control command to the device controller via the first repeater, and the device controller adjusts the package air conditioner according to the transmitted control command. The method according to claim 1,
A solar cell system for supplying power generated by the solar cell to the package air conditioner as an auxiliary power source;
A power meter for measuring an amount of power consumed in the package air conditioner and an amount of generated power generated in the solar cell system; And
Further comprising a third repeater for relaying the consumption and generated power measured by the power meter to the home energy controller,
Wherein the home energy management server calculates the control command by processing the adjustment and sensing data and the consumption and generation power through a big data analysis and a machine learning analysis by a machine learning engine. The method according to claim 1,
An outdoor sensor unit for sensing the outdoor environment of the groove to generate outdoor sensing data; And
And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller,
Wherein the home energy management server processes the adjustment and sensing data and the outdoor sensing data through a big data analysis and a machine learning analysis by a machine learning engine to calculate a control command. The method according to claim 1,
Further comprising at least one external home server connected to the home energy management server through an external network and providing a reference database for machine learning to the home energy management server,
The home energy management server processes the adjustment and sensing data based on the constructed database and a reference database provided from an external home server through a big data analysis and a machine learning analysis by a machine learning engine to calculate a home energy Management system. The method according to claim 1,
The indoor sensor unit includes:
A home temperature sensor, a temperature sensor, a humidity sensor, a heat sensor, an occupant sensor, and an infrared sensor. The method according to claim 1,
Wherein the home energy management server comprises:
A home energy management system that calculates a control command by reflecting a control priority, which is a combination of at least one of a priority for each indoor space, a priority for each time, a priority for each room, and a limit range for each indoor space, . A device controller for controlling a cooling air conditioner package air conditioner through ducts respectively connected to a plurality of indoor spaces;
An indoor sensor unit for sensing an indoor environment of each of the plurality of indoor spaces;
A first repeater for receiving adjustment data for adjusting the package air conditioner from the device conditioner, receiving sensing data from the indoor sensor unit, and relaying the received conditioning and sensing data;
A home energy controller for collecting and processing relayed control and sensing data from the first repeater; And
Receiving the adjustment and sensing data from the home energy controller in a big data format and constructing the database as a database and analyzing the received adjustment and sensing data based on the constructed database through a big data analysis and a machine learning analysis by a machine learning engine And a home energy management server for calculating the control command and transmitting the calculated control command to the home energy controller,
Wherein the home energy controller transmits the calculated control command to the device controller via the first repeater, and the device controller adjusts the package air conditioner according to the transmitted control command. 8. The method of claim 7,
A solar cell system for supplying power generated by the solar cell to the package air conditioner as an auxiliary power source;
A power meter for measuring an amount of power consumed in the package air conditioner and an amount of generated power generated in the solar cell system; And
Further comprising a third repeater for relaying the consumption and generated power measured by the power meter to the home energy controller,
Wherein the home energy management server calculates the control command by processing the adjustment and sensing data and the consumption and generation power through a big data analysis and a machine learning analysis by a machine learning engine. 8. The method of claim 7,
An outdoor sensor unit for sensing the outdoor environment of the groove to generate outdoor sensing data; And
And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller,
Wherein the home energy management server processes the adjustment and sensing data and the outdoor sensing data through a big data analysis and a machine learning analysis by a machine learning engine to calculate a control command. 8. The method of claim 7,
Further comprising at least one external home server connected to the home energy management server through an external network and providing a reference database for machine learning to the home energy management server,
The home energy management server processes the adjustment and sensing data based on the constructed database and a reference database provided from an external home server through a big data analysis and a machine learning analysis by a machine learning engine to calculate a home energy Management system. 8. The method of claim 7,
The indoor sensor unit includes:
A home temperature sensor, a temperature sensor, a humidity sensor, a heat sensor, an occupant sensor, and an infrared sensor. 8. The method of claim 7,
Wherein the home energy management server comprises:
A home energy management system that calculates a control command by reflecting a control priority, which is a combination of at least one of a priority for each indoor space, a priority for each time, a priority for each room, and a limit range for each indoor space, .

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