WO2018105784A1 - Système de gestion d'énergie domestique utilisant une pluralité de capteurs - Google Patents

Système de gestion d'énergie domestique utilisant une pluralité de capteurs Download PDF

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Publication number
WO2018105784A1
WO2018105784A1 PCT/KR2016/014370 KR2016014370W WO2018105784A1 WO 2018105784 A1 WO2018105784 A1 WO 2018105784A1 KR 2016014370 W KR2016014370 W KR 2016014370W WO 2018105784 A1 WO2018105784 A1 WO 2018105784A1
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Prior art keywords
data
home energy
energy management
wall
machine learning
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PCT/KR2016/014370
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English (en)
Korean (ko)
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진병진
임근석
나종현
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(주)온테스트
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Priority to PCT/KR2016/014370 priority Critical patent/WO2018105784A1/fr
Publication of WO2018105784A1 publication Critical patent/WO2018105784A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
    • G01R11/30—Dynamo-electric motor meters
    • G01R11/32—Watt-hour meters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/14—Payment architectures specially adapted for billing systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Definitions

  • the present invention relates to a home energy management system using a plurality of sensors, and more particularly, using a plurality of sensors that can efficiently save energy in consideration of not only various spaces and space environments but also wall temperatures in the home.
  • Home energy management system using a plurality of sensors, and more particularly, using a plurality of sensors that can efficiently save energy in consideration of not only various spaces and space environments but also wall temperatures in the home.
  • HEMS Home Energy Management System
  • the home energy management system is a device for efficiently managing the energy consumption of home appliances using a smart grid, which includes general home appliances (refrigerators, washing machines, etc.), devices using renewable energy (solar, wind, etc.), and batteries. And various devices such as fuel cells.
  • HEMS home energy management system
  • Such a home energy management system provides an energy consumption information to a user in a specific form, thereby inducing the user to voluntarily conserve energy by identifying the actual energy consumption in the home.
  • the homes of the countries of the Middle East are usually in the form of detached houses of two or three stories, and operate a plurality of air conditioners.
  • a number of air conditioners are installed to efficiently operate the air conditioners. These air conditioners are controlled by zones, that is, by floors or sections, or by attaching temperature controllers to individual air conditioners. The operation of the air conditioner was controlled according to the temperature of the installed space.
  • this conventional method operates in accordance with the temperature regardless of whether there is a person or not, if there are several spaces (room 1, room 2, living room, etc.) in the building in a manner controlled by temperature. Therefore, there is a problem that the energy is wasted because the air conditioner is operated in a space without people.
  • conventional simulation techniques for managing the energy of a building simulate and manage the energy of a building by using a heat-related factor collected from a sensor.
  • Conventional simulation techniques mainly collect the room temperature, the outside temperature, the body temperature of the occupants in a heat-related factor and reflect them in the simulation.
  • these conventional simulation techniques are impossible to accurately simulate the energy flow of the building, it is impossible to know how the temperature of the building changes.
  • Embodiments of the present invention receive the wall temperature of the inner wall of the building through a relay through the relay, along with the control data of the package air conditioner covering the plurality of indoor spaces and the sensing data for the indoor space, the sensing data including the wall temperature And control data through big data analysis and machine learning analysis by machine learning engine, and relay the calculated control command through repeater to control package air conditioner. It is to provide a home energy management system using a plurality of sensors that can efficiently save energy in consideration of the wall temperature of a building.
  • embodiments of the present invention receives the wall temperature of the inner wall of the building and the wall surface temperature of the other inner wall through the relay through the repeater together with the control data of the package air conditioner covering the plurality of indoor space and the sensing data for the indoor space.
  • the control command is calculated through the big data analysis and the machine learning analysis of the sensing data and the adjustment data including the wall temperature and the wall surface temperature, and the calculated control command is relayed through the repeater to install the package air conditioner.
  • an apparatus regulator for controlling a package air conditioner for cooling operation through a duct connected to each of a plurality of indoor space;
  • a first repeater receiving adjustment data for adjusting the package air conditioner from the device controller and relaying the received adjustment data;
  • An indoor sensor unit configured to sense indoor environments for the plurality of indoor spaces, respectively, and installed on an inner wall of the space to sense a wall temperature;
  • a second repeater receiving sensing data and wall temperature data from the indoor sensor unit and relaying the received sensing data and wall temperature data;
  • a home energy controller for collecting and processing wall temperature data, sensing data, and adjustment data relayed from the first and second repeaters; And receiving the wall temperature data, the sensing data, and the adjustment data from the home energy controller in a big data format to build a database, and converting the received wall temperature data, the sensing data, and the adjustment data based on the constructed database into a machine learning engine.
  • a home energy management server for processing through big data analysis and machine learning analysis to calculate a control command, and transmitting the calculated control command to the home energy controller, wherein the home energy controller includes the calculated control command. It may be transmitted to the device controller via the first repeater, the device controller may be provided with a home energy management system for adjusting the package air conditioner according to the transmitted control command.
  • the home energy management system includes: a solar cell system providing power generated through a solar cell as an auxiliary power source to the package air conditioner; A power meter for measuring the amount of power consumed by the package air conditioner and the amount of power generated by the solar cell system; And a third repeater for relaying the amount of power consumption and generation power measured by the power meter to the home energy controller, wherein the home energy management server is configured to display the wall temperature data, the sensing data and the adjustment data, and the amount of power consumption and generation power.
  • the control command may be processed by processing through big data analysis and machine learning analysis by the machine learning engine.
  • the home energy management system may include: an outdoor sensor unit configured to generate outdoor sensing data by sensing an outdoor environment of a home; And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller, wherein the home energy management server includes the wall temperature data, the sensing data and the adjustment data, and the outdoor sensing data by a machine learning engine. Big data analysis and machine learning analysis can be used to generate control commands.
  • the home energy management system further includes 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 processes wall temperature data, sensing data, and adjustment data through big data analysis and machine learning analysis by a machine learning engine based on the constructed database and a reference database provided from an external home server to calculate a control command. Can be.
  • the indoor sensor unit may include a wall temperature sensor installed at an inner wall of the space and configured to sense a wall temperature, and may include at least one sensor of a temperature sensor, a humidity sensor, a thermal sensor, an in-room sensor, and an infrared sensor.
  • the home energy management server may control a control command by reflecting an adjustment priority of at least one of the priorities of indoor spaces, the priorities of each room, the priorities of each room, and the limits of the indoor spaces in the big data analysis and machine learning analysis. Can be calculated.
  • the home energy management server calculates the time required for stopping and restarting the package air conditioner by reflecting a heat transmission rate set in advance according to the material and thickness of the inner wall of the space in the big data analysis and the machine learning analysis, and calculating the calculated time required. Can be included in control commands.
  • a device regulator for controlling a package air conditioner for cooling operation through a duct connected to each of a plurality of indoor space;
  • a first repeater receiving adjustment data for adjusting the package air conditioner from the device controller and relaying the received adjustment data;
  • An indoor sensor unit configured to sense indoor environments for the plurality of indoor spaces, respectively, installed on an inner wall of the space to sense a first wall temperature, and a second wall temperature for the inner wall of the space and a different inner wall;
  • a second repeater receiving sensing data and first and second wall temperature data from the indoor sensor unit, and relaying the received sensing data and wall temperature data;
  • a home energy controller for collecting and processing first and second wall temperature data, sensing data, and regulating data relayed from the first and second repeaters; And receiving first and second wall temperature data, sensing data, and adjustment data from the home energy controller in a big data format to construct a database, and based on the constructed database, the received first and second wall temperature data.
  • a home energy management server configured to process the sensing data and the adjustment data through big data analysis and machine learning analysis by a machine learning engine, to calculate a control command, and to transmit the calculated control command to the home energy controller.
  • the home energy controller may transmit the calculated control command to the device controller via the first repeater, and the device controller may be provided with a home energy management system for adjusting the package air conditioner according to the transmitted control command. .
  • the home energy management system includes: a solar cell system providing power generated through a solar cell as an auxiliary power source to the package air conditioner; A power meter for measuring the amount of power consumed by the package air conditioner and the amount of power generated by the solar cell system; And a third repeater for relaying the consumption and power generation power measured by the power meter to the home energy controller, wherein the home energy management server includes the first and second wall temperature data, sensing data and adjustment data, and The power consumption and power generation can be processed through big data analysis and machine learning analysis by the machine learning engine to generate control commands.
  • the home energy management system may include: an outdoor sensor unit configured to generate outdoor sensing data by sensing an outdoor environment of a home; And a fourth repeater for relaying the generated outdoor sensing data to the home energy controller, wherein the home energy management server is configured to exchange the first and second wall temperature data, sensing data and adjustment data, and the outdoor sensing data.
  • the control command may be processed by processing through big data analysis and machine learning analysis by the machine learning engine.
  • the home energy management system further includes 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 processes the first and second wall temperature data, sensing data, and adjustment data through big data analysis and machine learning analysis by a machine learning engine based on the constructed database and a reference database provided from an external home server.
  • the control command can be calculated.
  • the indoor sensor unit includes a wall temperature sensor installed on an inner wall of the space and senses a first wall temperature, and includes an infrared sensor that senses a second wall temperature of the inner wall of the space and another inner wall, and includes a temperature sensor and humidity. It may include at least one or more of the sensor, the thermal sensor and the occupant sensor.
  • the home energy management server may control a control command by reflecting an adjustment priority of at least one of the priorities of indoor spaces, the priorities of each room, the priorities of each room, and the limits of the indoor spaces in the big data analysis and machine learning analysis. Can be calculated.
  • the home energy management server calculates the time required for stopping and restarting the package air conditioner by reflecting a heat transmission rate set in advance according to the material and thickness of the inner wall of the space in the big data analysis and the machine learning analysis, and calculating the calculated time required. Can be included in control commands.
  • Embodiments of the present invention receive the wall temperature of the inner wall of the building through a relay through the relay, along with the control data of the package air conditioner covering the plurality of indoor spaces and the sensing data for the indoor space, the sensing data including the wall temperature And control data through big data analysis and machine learning analysis by machine learning engine, and relay the calculated control command through repeater to control package air conditioner. Energy can be saved efficiently by considering the wall temperature of the building.
  • embodiments of the present invention receives the wall temperature of the inner wall of the building and the wall surface temperature of the other inner wall through the relay through the repeater together with the control data of the package air conditioner covering the plurality of indoor space and the sensing data for the indoor space.
  • the control command is calculated through the big data analysis and the machine learning analysis of the sensing data and the adjustment data including the wall temperature and the wall surface temperature, and the calculated control command is relayed through the repeater to install the package air conditioner.
  • FIG 1 and 2 are views illustrating the operation of a package air conditioner installed in a groove applied to embodiments of the present invention.
  • FIG. 3 is a block diagram of a home energy management system using a plurality of sensors according to embodiments of the present disclosure.
  • FIG. 4 is a block diagram of a home energy management system using a plurality of sensors according to embodiments of the present disclosure.
  • FIG. 5 is a detailed configuration diagram of an indoor sensor unit in a home energy management system using a plurality of sensors according to the first embodiment of the present invention.
  • FIG. 6 is a detailed configuration diagram of an indoor sensor unit in a home energy management system using a plurality of sensors according to a second embodiment of the present invention.
  • FIG. 7 is a diagram illustrating an implementation example in which a home energy management system using a plurality of sensors according to a first embodiment of the present invention is installed in a plurality of indoor spaces.
  • FIG. 8 is a diagram illustrating an implementation example in which a home energy management system using a plurality of sensors according to a second embodiment of the present invention is installed in a plurality of indoor spaces.
  • duct 110 appliance regulator
  • fourth repeater 11 home energy controller
  • first wall 302 second wall
  • 311 wall temperature sensor 312: infrared sensor
  • FIG 1 and 2 are views illustrating the operation of a package air conditioner installed in a groove applied to embodiments of the present invention.
  • buildings in the Middle East are facing north. All of me is to the north of the window.
  • the buildings in the Middle East are inhabited by multi-family homes. In general houses, multi-family families live together in two- or three-story buildings.
  • Packaged air conditioners are installed in these buildings to perform the cooling operation of the house.
  • the package air conditioner may be installed as a rooftop package air conditioner. Looking at the rooftop package air conditioner, a duct-shaped air vent and a ventilation system are installed on the roof. Depending on the size, five to eight tuyeres may be installed.
  • One packaged air conditioner covers two or three or 2.5 spaces or rooms.
  • These packaged air conditioners are directly connected to the rooftop air conditioning system and thermostat.
  • One thermostat is connected to each package air conditioner.
  • the ground floor of the building includes a living room and a reception room. There is a living room and a room on the 1st floor.
  • the 2nd Floor has a room and a laundry / housekeeper room.
  • the rooftop has an air conditioning blower system and a power terminal box.
  • the first basement of the building includes a living room, prayer room and room.
  • the ground floor of the building contains a living room, a reception room and a room. There is a living room and a room on the 1st floor.
  • the 2nd Floor has a living room, room and laundry / housekeeper room.
  • the rooftop has an air conditioning blower system and a power terminal box.
  • the user basically does not change the temperature once set. However, the user changes the temperature setting at seasonal or specific times.
  • Housekeeper resides on a separate floor.
  • the package air conditioner 101 may be installed as a rooftop packaged air conditioner.
  • a duct-like tuyeres and a ventilation system are installed on the roof of the building where the package air conditioner 101 is installed. Five to eight tuyeres may be installed depending on the size.
  • One package air conditioner 101 may cover 2 to N or 2.5 spaces or rooms. It is not limited to the number of specific rooms.
  • the package air conditioner 101 is cooled through a duct 102 connected to rooms 1 and 2, which are a plurality of indoor spaces, respectively.
  • the package air conditioner 101 is cooled through a duct 102 connected to a plurality of indoor spaces, a room 1 and a living room, respectively.
  • the package air conditioner 101 is cooled through a duct 102 connected to each of a plurality of indoor spaces, room 1, room 2, and living room.
  • the package air conditioner 101 is cooled through a duct 102 connected to each of a plurality of indoor spaces, a room 1, a kitchen, and a living room.
  • the package air conditioner 101 is cooled through a duct 102 connected to a plurality of indoor spaces, that is, rooms 1, 2, 3, 4, and 4, respectively.
  • the device controller 110 controls the package air conditioners 101 respectively connected to the rooms or the living rooms, which are the plurality of indoor spaces.
  • the package air conditioner 101 is directly connected to the rooftop air conditioner blowing system and the device controller 110 in a 1: 1.
  • One thermostat is connected to each package air conditioner.
  • the temperature control is a method of controlling with a temperature controller or a remote control.
  • One device controller 110 directly connected to the package air conditioner 101 is installed in any one space or room among a plurality of spaces covered by the package air conditioner 101.
  • the device controller 110 may be in room 1 or in living room 1. Here, the room 2 is not installed.
  • the appliance regulator 110 is also not present in room 3.
  • FIG. 3 is a block diagram of a home energy management system using a plurality of sensors according to embodiments of the present disclosure.
  • the home energy management system 100 may include a device controller 110, a first repeater 120, an indoor sensor unit 300, a second repeater 140, A home energy controller 11 and a home energy management server 12.
  • the device controller 110 controls the package air conditioner 101 that is cooled by the duct 102 connected to the plurality of indoor spaces, respectively.
  • the device controller 110 is a thermostat that controls the package air conditioner 101 and is connected 1: 1 with each package air conditioner.
  • the device controller 110 may communicate with the first repeater 120 via wire or wirelessly.
  • the device controller 110 may communicate with the first repeater 120 based on power line communication (PLC).
  • PLC power line communication
  • the first repeater 120 receives adjustment data for adjusting the package air conditioner 101 from the device controller 110.
  • the first repeater 120 relays the received adjustment data to the home energy controller 11.
  • the first repeater 120 may relay the adjustment data and the control command to the device controller 110 and the home energy controller 11 using PLC communication, respectively.
  • the indoor sensor unit 300 senses indoor environments for a plurality of indoor spaces, respectively, and is installed on an inner wall of the space to sense wall temperature.
  • the indoor sensor unit 300 may communicate with the first repeater 120 through wire or wirelessly.
  • the indoor sensor unit 300 includes a Bluetooth / BLE-based temperature / humidity sensor and periodically measures and transmits temperature / humidity to the home energy controller 11 via the first repeater 120. have.
  • the indoor sensor unit 300 may include a wall temperature sensor installed on an inner wall of the space and sense a wall temperature, and include at least one or more of a temperature sensor, a humidity sensor, a thermal sensor, an in-patient sensor, and an infrared sensor. Can be.
  • the indoor sensor unit 300 includes a wall temperature sensor installed on an inner wall of the space and senses a first wall temperature, and includes an infrared sensor sensing a second wall temperature of the inner wall of the space and another inner wall. It may include at least one sensor of the temperature sensor, humidity sensor, thermal sensor and occupant sensor.
  • the device controller 110 may communicate with the first repeater 120 based on power line communication (PLC).
  • PLC power line communication
  • the second repeater 140 receives the sensing data and the wall temperature data from the indoor sensor unit 300 and relays it to the home energy controller 11.
  • the second relay 140 may collect a Bluetooth Beacon Scanner, a Universally Unique IDentifier (UUID), and signal strength information, and collect the collected information using a PLC communication home energy controller. 11 can be transmitted.
  • UUID Universally Unique IDentifier
  • the home energy controller 11 collects and processes wall temperature data, sensing data, and adjustment data relayed from the first and second repeaters 120 and 140.
  • the home energy controller 11 receives and processes sensing data (eg, temperature, humidity, occupant, occupant location information, etc.), wall temperature data, and adjustment data collected from two or more repeaters, and then includes a home energy management server ( 12), and transmits the set temperature or humidity information received from the home energy management server 12 to the device controller.
  • the home energy management server 12 receives wall temperature data, sensing data, and adjustment data from the home energy controller 11 in a big data format and builds it into a database. Thereafter, the home energy management server 12 analyzes the wall temperature data, the sensing data, and the adjustment data received from the home energy controller 11 through the big data analysis and the machine learning analysis by the machine learning engine based on the established database. Processing to yield a control command.
  • the home energy management server 12 transmits the calculated control command to the home energy controller 11.
  • the home energy management server 12 is a server existing within the system.
  • the home energy management server 12 receives data collected from the home energy controller 11, stores the data in a database, and performs big data analysis and machine learning analysis through a machine learning engine. It is possible to provide the home energy controller 11 with an optimum control command (eg, temperature set value, restart time after stopping the air conditioner, etc.).
  • the home energy management server 12 reflects the adjustment priority that combines at least one of the priority of each indoor space, the priority of each hour, the priority of each room, and the limits of the indoor space to the big data analysis and machine learning analysis. Control command can be calculated.
  • the home energy management server 12 calculates the time required for stopping and restarting the package air conditioner 101 by reflecting the heat transmission rate set in advance according to the material and thickness of the inner wall of the space in the big data analysis and the machine learning analysis. The calculated time required can be included in the control command.
  • 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. Subsequently, the device controller 110 adjusts the package air conditioner 101 according to the control command transmitted from the first repeater 120.
  • the home energy management system 100 may further include a solar cell system 170, a power meter 150, and a third repeater 160.
  • the solar cell system 170 provides power generated through the solar cell to the package air conditioner 101 as an auxiliary power source.
  • the solar cell system 170 is a solar based PV module (eg, including an inverter) and may provide power generation information to the power meter 150.
  • the power meter 150 measures the amount of power consumed by the package air conditioner 101 and the amount of generated power generated by the solar cell system 170.
  • the power meter 150 may be connected to the solar cell system 170 and the package air conditioner 101 to measure the amount of power consumed and transmitted to the third repeater 160 using RS485 communication.
  • the third repeater 160 relays the amount of power consumption and generation power measured by the power meter 150 to the home energy controller 11.
  • the third repeater 160 may transmit power information and the power meter 150 connected to the package air conditioner 101 and the solar cell system 170 to the home energy controller 11 through PLC communication.
  • the home energy management server 12 receives wall temperature data, sensing data and regulation data, and power consumption and generation power from the home energy controller 11.
  • the home energy management server 12 may calculate the control command by processing the wall temperature data, the sensing data and the regulation data, the consumption and the generated power amount through the big data analysis and the machine learning analysis by the machine learning engine.
  • the home energy management system 100 may further include an outdoor sensor unit 180 and a fourth repeater 190.
  • the outdoor sensor unit 180 generates outdoor sensing data by sensing an outdoor environment of a home.
  • the outdoor sensor unit 180 may measure an external temperature / humidity through a weather station and transmit it to the fourth repeater 190.
  • the fourth repeater 190 relays the outdoor sensing data generated by the outdoor sensor unit 180 to the home energy controller 11.
  • the fourth repeater 190 may collect external temperature and humidity data of the outdoor environment and transmit the data to the home energy controller 11 through PLC communication.
  • the home energy management server 12 receives wall temperature data, sensing data and adjustment data, and outdoor sensing data from the home energy controller 11.
  • the home energy management server 12 may calculate the control command by processing the wall temperature data, the sensing data, the adjustment data, and the outdoor sensing data through big data analysis and machine learning analysis by the machine learning engine.
  • the home energy management system 100 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 the home energy management server 12 with a reference database for machine learning.
  • the external home server 13 is an external server that can support a database so that the home energy management server 12 performing machine learning can provide more effective results by providing a database for reference for machine learning. have.
  • the home energy management server 12 analyzes the wall temperature data, the sensing data, and the regulation data by the machine learning engine and the big data analysis and the machine learning analysis based on the built database and the reference database provided from the external home server 13. Can be processed to produce a control command.
  • the home energy controller 11 may communicate with the user terminal to monitor or control the state inside the home using a user terminal (eg, a smartphone, a smart pad, etc.) held by an externally located user.
  • a user terminal eg, a smartphone, a smart pad, etc.
  • FIG. 4 is a block diagram of a home energy management system using a plurality of sensors according to embodiments of the present disclosure.
  • the home energy management system 100 is the same as the embodiments of the present invention shown in FIG. 3, the device regulator 110 and the first repeater 120. ), An indoor sensor unit 300, a second repeater 140, a home energy controller 11, and a home energy management server 12.
  • FIG. 4 An embodiment of the present invention illustrated in FIG. 4 will be described based on differences from FIG. 3.
  • the package air conditioner 101 applied to the embodiment of the present invention includes 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, respectively, and controls the connected package air conditioners 101, respectively.
  • package air conditioner # 1 package air conditioner # 2,... , Package air conditioner #X is installed in the home.
  • device controller # 1 device controller # 2,... , Appliance conditioner #X, package air conditioner # 1, package air conditioner # 2,... It is connected to package air conditioner #X respectively.
  • the first repeater 120 receives a plurality of adjustment data for adjusting the plurality of package air conditioners 101 from the plurality of device controllers.
  • the first repeater 120 relays the received plurality of adjustment data to the home energy controller 11.
  • the home energy controller 11 collects and processes a plurality of adjustment data, wall temperature data, and sensing data relayed from the first and second repeaters 120 and 140.
  • the home energy management server 12 receives a plurality of control data, wall temperature data, and sensing data from the home energy controller 11 in a big data format and builds it into a database. Thereafter, the home energy management server 12 analyzes the big data analysis and the machine learning analysis by the machine learning engine on the plurality of adjustment data, wall temperature data, and sensing data received from the home energy controller 11 based on the established database. Processing through to calculate a plurality of control commands for each package air conditioner. The home energy management server 12 transmits the calculated plurality of control commands to the home energy controller 11.
  • the home energy controller 11 individually transmits a plurality of control commands calculated by the home energy management server 12 to each device controller 110 via the first repeater 120. Subsequently, the plurality of device controllers 110 respectively adjust the package air conditioners 101 according to control commands respectively transmitted from the first repeater 120.
  • FIG. 5 is a detailed configuration diagram of an indoor sensor unit in a home energy management system using a plurality of sensors according to the first embodiment of the present invention.
  • the indoor sensor unit 300 of the home energy management system 100 includes a wall temperature sensor 311, an infrared sensor 312, and a temperature / humidity sensor. 313 and the occupant sensor 314 and the data collection unit 320.
  • the indoor sensor unit 300 may further include an additional sensor A 315 and an additional sensor B 316 capable of sensing additional information of the indoor environment.
  • the wall temperature sensor 311 is provided on the first wall 301 which is an inner wall of the space.
  • the wall temperature sensor 311 generates wall temperature data by sensing a wall temperature of the inner wall.
  • the plurality of indoor sensors sense the indoor environment for the indoor space divided by the first wall 301.
  • the data collector 320 is connected to the wall temperature sensor 311, the infrared sensor 312, the temperature / humidity sensor 313, and the occupant sensor 314.
  • the data collector 320 may be wall temperature data of the first wall 301 sensed by the wall temperature sensor 311, and an infrared sensor 312, a temperature / humidity sensor 313, and an in-room sensor 314, respectively. Collect sensed sensing data. Subsequently, the data collector 320 transmits the collected wall temperature data and the sensing data to the second repeater 140.
  • FIG. 6 is a detailed configuration diagram of an indoor sensor unit in a home energy management system using a plurality of sensors according to a second embodiment of the present invention.
  • the indoor sensor unit 300 of the home energy management system 100 includes a wall temperature sensor 311, an infrared sensor 312, and a temperature / humidity sensor. 313 and the occupant sensor 314 and the data collection unit 320.
  • the indoor sensor unit 300 may further include an additional sensor A 315 and an additional sensor B 316 capable of sensing additional information of the indoor environment.
  • the wall temperature sensor 311 is provided on the first wall 301 which is an inner wall of the space.
  • the wall temperature sensor 311 generates first wall temperature data by sensing the wall temperature of the inner wall.
  • the infrared sensor 312 is installed at a position facing the second wall 302 which is an inner wall different from the inner wall of the space.
  • the infrared sensor 312 generates second wall temperature data by sensing the second wall temperature of the second wall 302 using infrared light. At this time, the second wall temperature is not the inner wall temperature of the second wall 302 but the surface temperature of the second wall 302.
  • the data collector 320 is connected to the wall temperature sensor 311, the infrared sensor 312, the temperature / humidity sensor 313, and the occupant sensor 314.
  • the data collector 320 includes first wall temperature data of the first wall 301 sensed by the wall temperature sensor 311 and a second wall of the second wall 302 sensed by the infrared sensor 312.
  • the sensing data collected by the temperature data, the temperature / humidity sensor 313, and the occupant sensor 314 are collected. Subsequently, the data collector 320 transmits the collected first and second wall temperature data and the sensing data to the second repeater 140.
  • the home energy management system 100 is a method of directly or indirectly measuring the wall temperature of a building and by measuring the wall temperatures of two sides, respectively.
  • the package air conditioner 101 can be controlled more accurately than the simulation technique.
  • the ascending and descending speed proceeds very slowly compared to the room temperature or body temperature. Therefore, when the user wants to stop the package air conditioner 101 at the time of going out or for a certain time, the home energy management system 100 does not operate the package air conditioner 101 and uses the heat permeation rate to maintain a time required to maintain a certain temperature It can be predicted. Through this, the home energy management system 100 may reduce the operating time of the package air conditioner 101 as much as possible to save energy.
  • the home energy management system 100 By measuring the wall temperature or the wall temperature of the inner wall of the building and the wall surface temperature of the other walls, it is possible to calculate the time required to restart the air conditioner by stopping the air conditioner according to the degree of heat transmission rate.
  • the thermal permeability is determined to some extent or the thermal permeability is known based on the material and thickness of the inner wall determined basically.
  • the home energy management system 100 adds a factor of the wall surface temperature or heat permeability as well as the wall temperature to the heat related sensing data.
  • the home energy management system 100 may control the package air conditioner 101 by calculating an effective duration through machine learning so that the home energy management system 100 may effectively use energy saving based on the plurality of sensing data.
  • the home energy management system 100 cares to allow the occupant to feel similar to the usual when the air conditioner does not operate or operates at the minimum energy use (temperature) during the required time. Energy can be saved effectively.
  • FIG. 7 is a diagram illustrating an implementation example in which a home energy management system using a plurality of sensors according to a first embodiment of the present invention is installed in a plurality of indoor spaces.
  • the home energy management system 100 may include a first repeater 120, an indoor sensor unit 300, and a second repeater 120 connected to the device controller 110. 140, home energy controller 11, and home energy management server 12.
  • the home energy management system 100 according to the first embodiment of the present invention may further include a solar cell system 170 and a power meter 150.
  • the first repeater 120 is installed in an indoor space in which the device controller 110 is installed.
  • the first repeater 120 receives adjustment data for adjusting the package air conditioner 101 from the device controller 110.
  • the second repeater 140 is installed in a plurality of different spaces in which the first repeater 120 is not installed.
  • the second repeater 140 receives sensing data and wall temperature data from the indoor sensor unit 300 installed in a plurality of different spaces and relays the sensing data and the wall temperature data to the home energy controller 11.
  • the indoor sensor unit 300 may include a wall temperature sensor installed on an inner wall of the space and sense a wall temperature, and may include at least one or more of a temperature sensor, a humidity sensor, a thermal sensor, an in-room sensor, and an infrared sensor.
  • the indoor sensor unit 300 may further include an illumination sensor for sensing the lighting of the indoor space, an entrance sensor for sensing the person entering and leaving the indoor space.
  • FIG. 8 is a diagram illustrating an implementation example in which a home energy management system using a plurality of sensors according to a second embodiment of the present invention is installed in a plurality of indoor spaces.
  • the home energy management system 100 may include a first repeater 120, an indoor sensor unit 300, and a second repeater 120 connected to the device controller 110. 140, home energy controller 11, and home energy management server 12.
  • the first repeater 120 is installed in an indoor space in which the device controller 110 is installed.
  • the first repeater 120 receives adjustment data for adjusting the package air conditioner 101 from the device controller 110.
  • the second repeater 140 is installed in a plurality of different spaces in which the first repeater 120 is not installed.
  • the second repeater 140 receives sensing data and wall temperature data from the indoor sensor unit 300 installed in a plurality of different spaces and relays the sensing data and the wall temperature data to the home energy controller 11.
  • the indoor sensor unit 300 includes a wall temperature sensor 311 installed on an inner wall of the space and senses a wall temperature, and includes an infrared sensor 312 that senses a second wall temperature for the inner wall of the space and another inner wall. do.
  • the indoor sensor unit 300 may further include a temperature / humidity sensor 313 and an occupant sensor 314.
  • the indoor sensor unit 300 may further include an illumination sensor for sensing the lighting of the indoor space, an entrance sensor for sensing the person entering and leaving the indoor space.
  • the wall temperature sensor 311 is installed on the first wall 301 which is the inner wall of the space and senses the wall temperature of the inner wall to generate the first wall temperature data.
  • the infrared sensor 312 is installed at a position facing the second wall 302 which is an inner wall different from the inner wall of the space, and senses the second wall temperature of the second wall 302 by using infrared rays to sense the second wall. Generate temperature data.
  • the infrared sensor 312 may generate the second wall temperature data by sensing the second wall temperature using the thermal image. At this time, the second wall temperature is not the inner wall temperature of the second wall 302 but the surface temperature of the second wall 302.

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Abstract

La présente invention concerne un système de gestion d'énergie domestique utilisant une pluralité de capteurs, et, plus spécifiquement, un système de gestion d'énergie domestique utilisant une pluralité de capteurs qui peuvent réduire efficacement de l'énergie en tenant compte de divers espaces ou environnements d'espace à l'intérieur d'une maison, la température du corps de paroi d'un bâtiment et similaires, par le biais de la réception de la température de corps de paroi de la paroi interne du bâtiment conjointement avec des données de réglage d'un climatiseur d'emballage couvrant une pluralité d'espaces intérieurs et de données de détection par rapport aux espaces intérieurs par l'intermédiaire d'un relais à travers un répéteur en calculant une instruction de commande par l'intermédiaire d'une analyse de mégadonnées et d'une analyse d'apprentissage de machine des données de détection et des données de réglage comprenant la température de corps de paroi par un moteur d'apprentissage de machine, en relayant l'instruction de commande calculée à travers le répéteur, et en commandant le conditionneur d'air.
PCT/KR2016/014370 2016-12-08 2016-12-08 Système de gestion d'énergie domestique utilisant une pluralité de capteurs WO2018105784A1 (fr)

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Publication number Priority date Publication date Assignee Title
KR20100128786A (ko) * 2009-05-29 2010-12-08 코오롱건설주식회사 지열 냉난방 공동 주택의 에너지 통합 모니터링 시스템
KR20110136382A (ko) * 2010-06-15 2011-12-21 주식회사 씨브이네트 환경센서를 통한 가정기기 제어 시스템 및 방법
KR101183263B1 (ko) * 2010-11-15 2012-09-26 자바정보기술 주식회사 스마트 그리드 환경에서의 지능형 홈 에너지 절감 시스템 및 방법
KR20130091573A (ko) * 2012-02-08 2013-08-19 한국전자통신연구원 공동주택단지에서의 최적 에너지 관리 및 에너지 설비 제어 연동 시스템
KR20130096455A (ko) * 2012-02-22 2013-08-30 부산대학교 산학협력단 홈 네트워크 서비스 제어를 위한 상황인지 서비스 제공 시스템 및 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100128786A (ko) * 2009-05-29 2010-12-08 코오롱건설주식회사 지열 냉난방 공동 주택의 에너지 통합 모니터링 시스템
KR20110136382A (ko) * 2010-06-15 2011-12-21 주식회사 씨브이네트 환경센서를 통한 가정기기 제어 시스템 및 방법
KR101183263B1 (ko) * 2010-11-15 2012-09-26 자바정보기술 주식회사 스마트 그리드 환경에서의 지능형 홈 에너지 절감 시스템 및 방법
KR20130091573A (ko) * 2012-02-08 2013-08-19 한국전자통신연구원 공동주택단지에서의 최적 에너지 관리 및 에너지 설비 제어 연동 시스템
KR20130096455A (ko) * 2012-02-22 2013-08-30 부산대학교 산학협력단 홈 네트워크 서비스 제어를 위한 상황인지 서비스 제공 시스템 및 방법

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