KR20130082630A - Building energy management system and method for controlling the same - Google Patents

Building energy management system and method for controlling the same Download PDF

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Publication number
KR20130082630A
KR20130082630A KR1020110133007A KR20110133007A KR20130082630A KR 20130082630 A KR20130082630 A KR 20130082630A KR 1020110133007 A KR1020110133007 A KR 1020110133007A KR 20110133007 A KR20110133007 A KR 20110133007A KR 20130082630 A KR20130082630 A KR 20130082630A
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South Korea
Prior art keywords
data
facility
management system
energy management
building
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KR1020110133007A
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Korean (ko)
Inventor
지관식
조한별
정종훈
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엘지전자 주식회사
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Priority to KR1020110133007A priority Critical patent/KR20130082630A/en
Publication of KR20130082630A publication Critical patent/KR20130082630A/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/02Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Abstract

PURPOSE: A building energy management system and a control method thereof are provided to identify an optimal point in maintaining a building at which a combination of energy conservation and efficient operation of the building can be optimized by considering various factors regarding the operation of installed facilities in the building and perform maintenance at the identified optimal point. CONSTITUTION: One or more facilities (400) are installed in a building. At least one central controller (150) communicates with and controls the installed facilities. The central controller determines an energy consumption reduction rate of the facility and an optimal point at which the facility works most efficiently by considering the facility's equipment, operation, surroundings, and the user of the facility. The central controller automatically controls the facility regarding the optimal point. [Reference numerals] (110) Input unit; (120) Output unit; (130) Sensor unit; (140) Database; (150) Central controller; (200) Communication unit; (310) Web service module; (410) Multiple air conditioners; (420) Light

Description

FIELD OF THE INVENTION [0001] The present invention relates to a building energy management system and a control method thereof,

The present invention relates to a building energy management system and a control method thereof, and more particularly, to a building energy management system and a control method thereof that provide an optimal environment according to a building environment condition and enable efficient energy management.

In recent years, interest in building automation has been increasing in the central system to control facilities installed in buildings in order to save energy. That is, there is an increased interest in more efficiently and systematically managing facilities installed in buildings.

Particularly, a building energy management system is being developed that controls facilities that can appropriately adjust energy consumption for facilities installed in a building and provide a pleasant environment to a user. Such a building energy management system is a standard protocol for implementing an integrated network, for example, using a back-net.

However, in the conventional building energy management system, for example, when a multi-type air conditioner is used as a facility, the facility has been mainly controlled considering only the factors influencing the temperature change. As a result, the optimal control of the plant, which takes into account various environmental factors such as factors affecting energy consumption, user's personal taste, and operation pattern, has not been achieved.

Therefore, embodiments of the present invention can be applied to various types of buildings, such as a building, a building, a building, a building, And a control method of the building energy management system for controlling the facility so that the reduction of the power consumption and the efficient driving increase can be optimized at the same time.

In addition, embodiments of the present invention can be implemented by setting a minimum saving criterion for energy consumption or an element that emphasizes more in facility control for user-customized control, There is another purpose in providing a building energy management system and its control method.

Furthermore, an embodiment of the present invention is an external device or device for collecting and real-time device data and operation data, environmental data of the environment, and user data of the facility in the central control and / or individual control of the facility to reflect in the facility control Another object of the present invention is to provide a building energy management system and a control method thereof, which can provide an optimal environment according to a change of situation by interlocking the installed system.

A building energy management system according to an embodiment of the present invention includes at least one facility installed in a building; At least one central controller in communication with the facility and for centrally controlling the operation of the facility, wherein the central controller collectively considers device data, travel data, ambient environmental data, and user data of the facility. And determining an optimum point for optimizing a reduction rate of energy consumption and an increase rate of efficient driving of the facility, and automatically controlling the facility to meet the optimum point.

In an embodiment, the central controller comprises: a saving mode setting module for setting a minimum saving criterion of energy consumption for the facility according to a user input or preset criteria; And an optimum point calculating module for calculating an expected point of the energy consumption and an estimated increase rate of efficient driving based on the data and calculating an optimum point thereof.

In an embodiment, the building energy management system comprises: an individual controller for individually controlling the facility; And a web service module communicating with the central controller and facility and providing the facility data, the operational data, the environmental condition data, and the user data of the facility to the individual controller via the Internet, And the control data is separately provided to the central controller.

In the embodiment, the optimum point may be changed within a predetermined range according to whether or not it is interlocked with an external device, a characteristic of a building, or a user's preference.

In an embodiment, the building energy management system includes a database that is interlocked with the central controller and stores device data of the facility, operation data, environmental condition data, and user data, and logic for controlling the control pattern for the facility And further comprising:

In an embodiment, the building energy management system further includes at least one sensor unit installed in the building, for sensing the environmental condition data.

In an embodiment, the environmental condition data includes at least one of weather data, user reacquisition, spatial characteristics, user's connection position, current time, and external device interlocking, and the sensor unit includes an infrared sensor, A sensor, a body reaction sensor, a temperature sensor, a humidity sensor, a wind direction sensor, an illuminance sensor, and a timer sensor.

In an embodiment, the building energy management system includes an input unit for receiving the user data and a control command for the facility; And an output unit for displaying a current state and an operation result of the central controller.

In an embodiment, the building energy management system includes the facility and a communication unit for performing communication in the central control period.

In an embodiment, the communication unit is a backnet gateway.

According to another aspect of the present invention, there is provided a method of controlling a building energy management system, the method comprising: collecting device data, operation data, environmental condition data, and user data of a facility installed in a building; Calculating an expected reduction rate of energy consumption and an expected increase rate of efficient operation for the facility, taking into consideration the collected data collectively; Determining an optimum point of the calculated expected saving rate and an expected growth rate; And automatically controlling the facility to match the optimum point.

In an embodiment, the control method comprises the steps of: providing, via the Internet, the device data, the running data, the environmental condition data, and the user data to an individual controller; Generating control data for individually controlling the facility by taking into consideration the provided data collectively; Controlling the facility by providing the control data, and storing the control data in a database.

In an embodiment, the control method may include: storing the device data, driving data, surrounding environment state data, and user data; The method may further include updating the stored data in real time.

Further, a method of controlling a building energy management system according to another embodiment of the present invention includes: setting a minimum saving criterion of energy consumption for a facility installed in a building according to a user input or a preset reference; Collecting device data, operational data, environmental condition data, and user data of the facility; Calculating an estimated increase rate of efficient operation for the facility by taking into consideration the collected data collectively; Determining a minimum saving criterion of the set energy consumption and an optimum point of the calculated efficient drive increase rate; And automatically controlling the facility to match the optimum point.

In an embodiment, the control method includes the steps of: providing, via the Internet, device data of the facility, operation data, environmental condition data, and user data to an individual controller; Generating control data for individually controlling the facility by taking into consideration the provided data collectively; Controlling the facility by providing upper limb control data, and storing the control data in a database.

In an embodiment, the control method comprises the steps of: storing device data, driving data, ambient environmental state data, and user data of the facility; The method may further include updating the stored data in real time.

A building energy management system and a control method thereof according to an embodiment of the present invention can be applied to a variety of buildings such as weather data, usage pattern, convenience of operation, characteristics of a building or a building area, It is possible to more efficiently manage the energy by determining the optimum point satisfying both the reduction of the energy consumption and the increase of the efficient driving and controlling the equipment accordingly.

Further, a building energy management system and a control method thereof according to an embodiment of the present invention can set a minimum saving standard of energy consumption for a facility step by step, and if necessary, And by allowing the user to perform individual control of the facility through the web server, efficient energy management and user-customized facility control are possible.

Furthermore, the building energy management system and control method thereof according to an embodiment of the present invention collect device data and operation data of the facility, environmental data of the surrounding environment, and user data in real time, from which the control pattern for the facility is logic. By linking the database with the facility controller, it is possible to provide the optimum environment and further reduce the energy consumption rate as the situation changes.

1 is a block diagram of a building energy management system according to the present invention;
2 is a detailed block diagram of a central controller in a building energy management system according to the present invention;
3 is a graph showing optimum points related to control of a building energy management system according to the present invention;
4 is a flowchart illustrating a method of controlling a building energy management system according to an embodiment of the present invention.
5 is a flowchart illustrating another embodiment of a control method of a building energy management system according to the present invention.

Hereinafter, a building energy management system and a control method thereof according to the present invention will be described in detail with reference to the accompanying drawings.

Referring first to FIG. 1, FIG. 1 illustrates a configuration of a building energy management system according to the present invention.

The building energy management system includes at least one facility 400 and a central controller 150 communicating with the facility 400. The building energy management system includes an input unit 110, an output unit 120, a sensor unit 130 and a database 140. The building energy management system includes a web service module 310 and an individual controller 330 for individual control. . The building energy management system further includes a communication unit 200 that performs communication between the facility 400, the central controller 150, and the web service module 310.

The facility 400 is a power dissipation device installed in a building, for example, an air conditioner, a multi-air conditioner 410, heating, ventilation, air conditioning, lighting 420, a refrigerator, a sensor, a pump, Fan, boiler, and the like.

The central controller 150 communicates with one or more facilities 400 and centrally controls the operation of the facility 400. Specifically, the central controller 150 comprehensively considers the device data, the operation data, the environmental condition data, and the user data of the facility 400, And determines the optimum point to optimize the rate of increase of the drive.

Here, the device data includes information on the type of the facility 400, for example, the type of the device such as the multi-type air conditioner 410 and the illumination 420, the installation location of the facility 400, ) ≪ / RTI > itself.

In addition, the driving data includes, for example, an operation state of the facility 400, a driving pattern of the facility 400 according to a user, a location of the facility, or a corresponding area, and a driving history for a predetermined period of time.

The environmental condition data may include at least one of natural environmental condition data such as external weather data, sunshine temperature, temperature, humidity, and current time, and an anthropic environmental condition such as user reacquisition, space characteristics, user connection position, You can include all of your data. In addition, the user data may further include the current position of the user, the taste or preference of the user.

The optimum point may be changed within a predetermined range according to the external device of the central controller 150, for example, whether it is interlocked with the database 140, another system installed in the building, characteristics of the building, and user preference . In addition, the user may set a minimum saving standard of energy consumption for the facility 400 in advance.

The reduction rate of the energy consumption is optimized in consideration of the device data, the operation data, the environmental condition data, and the user data in a direction to further increase the energy saving. In addition, the rate of increase of the efficient driving is optimized in a direction to further increase the user satisfaction by comprehensively considering the device data, the operating data, the surrounding environment status data, and the user data. As described above, since the relationship between the reduction rate of energy consumption and the increase rate of efficient driving is inversely related to each other, the facility 400 is automatically controlled by determining an optimum point for optimizing them simultaneously.

The optimum point may be changed according to the characteristics of the building. That is, it can be categorized as a case where the energy consumption of the facility 400 is emphasized depending on the building and a case where the efficiency of the facility 400 is increased (for example, the comfort due to the efficient operation of the air conditioner is emphasized). Examples of the former include a company, a factory, a university, and the latter examples include a hospital, a nursing home, a bank, and a performance hall. For example, in a company or a factory, which is a large-scale building, the optimum point may be changed in a direction that emphasizes the reduction of energy consumption, and a special environment such as a hospital, a nursing home The optimum point can be changed in a direction that more emphasizes an increase in efficient driving or a user-customized control.

The central controller 150 automatically controls the facility 400 to meet the optimum point thus determined. Thus, efficient energy management of the building is possible.

Referring to FIG. 2, a detailed configuration of the central controller 150 is shown. 2, the central controller 150 includes a saving mode setting module 151 and an optimum point calculating module 153. [

The saving mode setting module 151 sets a minimum saving standard of energy consumption for the facility according to a user input or a preset reference. For example, a premium saving mode with a minimum energy saving standard of 3%, a normal saving mode with a minimum energy saving standard of 5%, and a minimum energy saving standard of 10% It is possible to implement any one of the economical saving modes. It is also possible to directly set the value of the minimum saving standard of energy consumption according to user input or predetermined criteria. Thus, the minimum saving standard of the energy consumption of the facility 400 can be set step by step through the saving mode setting module 151 so that the optimal environment can be set according to various environments.

The optimal point calculating module 153 numerically measures the expected reduction rate of the energy consumption and the expected increase rate of the efficient driving considering the device data, the running data, the surrounding environment state data, and the user data of the facility 400 in a comprehensive manner. The optimal point calculation module 153 calculates an optimum point for simultaneously optimizing the numerical estimated reduction rate and the expected rate of increase.

In this regard, FIG. 3 graphically shows the optimal points of the estimated saving rate and the estimated growth rate, which are quantified.

As shown, the x-axis of the graph represents the rate of increase in efficient driving of the facility, for example, the increase in comfort due to multi-climate control, and the y-axis of the graph represents the rate of energy savings. As described above, the 'optimal point' can be obtained by reflecting the various factors that are inversely related to the rate of efficient driving of the facility and the rate of energy consumption reduction, and can optimize both of them at the same time. According to the building energy management system of the present invention, it is possible to maximize the efficiency of the energy saving and the efficiency of the facility by taking the device data, the operation data, the surrounding environment state data, and the user data of the multi- have. That is, when the building energy management system according to the present invention is applied to the multi-type air conditioner 410, the rate of reduction of the energy consumption and the efficiency of the efficient driving of the facility are both adjusted to an optimum point do. The facility is automatically controlled according to such an optimum point. However, in the case where the energy saving rate is more important than the optimum point, the optimum point moves to the left along the curve of the graph, and in the special environment where the efficiency increase rate of the facility is more important, .

Referring again to FIG. 1, the database 140 is interlocked with the central controller 150 and stores device data, operation data, surrounding environment status data, and user data of the facility 400. In addition, the database 140 logicizes the control pattern for the facility 400 from the data. Also, the database 140 reflects the control data generated through the individual controller 330 on the control pattern and logicizes the control data.

The sensor unit 130 is installed in the building and senses the environmental condition data in real time. In an embodiment, the environmental condition data includes at least one of weather data, user reacquisition, spatial characteristics, user's connection location, current time, and external device interlocking. In addition, the sensor unit 130 may include an infrared sensor capable of detecting infrared rays, an action sensor for detecting movement of an object, a body reaction sensor for detecting a temperature of a person, a pulse or the like, A humidity sensor for sensing a change in humidity of the wind, a wind direction sensor for detecting the direction of wind, a light intensity sensor for sensing a change in illumination, and a timer sensor. The error occurrence rate can be lowered when the facility 400 is controlled through the combination of various sensors.

The input unit 110 receives the user data and / or receives monitoring and control commands for the facility 400.

The output unit 120 displays the current state of the central controller 150 and / or the operation result.

The communication unit 200 performs communication between the facility 400 and the central controller 150. In addition, the communication unit 200 performs communication between the facility 400 and the web service module 310. In addition, the communication unit 200 performs communication between the central controller 150 and the web service module 310. In an embodiment, the communication unit 200 is a backnet gateway. In this case it can be connected using an RS-485 communication cable.

The building energy management system according to the present invention further includes a web service module 310 and an individual controller 330 for individual control of the user to simultaneously satisfy the operational convenience of the actual user and the central manager of the facility 400 can do.

The web service module 310 is capable of communicating with the central controller 150 and one or more facilities 400. The web service module 310 provides the individual controller 330 with device data, operation data, environmental condition data, and user data of the facility 400 via the Internet. To this end, the web service module 310 includes a data extracting unit (not shown) for periodically receiving data stored in the database 140 through the communication unit 200, And a web server (not shown) that provides a protocol to provide the display information generated by the web page generator to the individual controller 330 via the Internet .

The individual controller 330 comprehensively considers data provided from the web service module 310 to generate control data for individually controlling one or more facilities 400. In addition, the individual controller 330 provides the generated control data to the central controller 150 to control the facility 400.

The control method of the building energy management system according to the present invention described above will now be described. 4 is a flowchart illustrating a method of controlling a building energy management system according to an embodiment of the present invention.

First, device data, operation data, environmental condition data, and user data of the facility are collected (S10). The estimated reduction rate of the energy consumption and the estimated increase rate of the efficient operation for the facility are all calculated in consideration of the collected data (S20). An optimum point for optimizing the estimated reduction rate of the calculated energy consumption and the expected increase rate of the efficient driving is determined (S30). The facility is automatically controlled so as to meet the determined optimum point (S40).

In an embodiment, the device data, operational data, ambient condition data, and user data may be logged in a traffic pattern and stored in a database. The stored data is updated in real time.

Further, in the embodiment, when the user attempts individual control of the facility, the device data, the driving data, the surrounding environment state data, and the user data stored in the database are provided to the individual controller via the Internet. And based on the provided data, control data for generating individual control of the facility is generated. The generated control data is reflected in the facility control, and stored in a database for the control pattern.

5 is a flowchart illustrating another embodiment of a control method of a building energy management system according to the present invention. First, according to a user input or a predetermined criterion, a minimum saving criterion of energy consumption for a facility installed in a building is set (S5). Then, the device data, the driving data, the environmental status data, and the user data of the facility is collected (S10). In consideration of the collected data, the expected increase rate of efficient driving of the facility is calculated (S20 ′). The optimum point for optimizing the minimum saving criteria of the set energy consumption and the increase rate of the calculated efficient driving is determined (S30 ′). Automatic control of the facility to meet the optimum point (S40). In this case, the device data, the driving data, the surrounding environment state data, and the user data may be logic and stored in a database. The stored data may be automatically updated in real time. When the user attempts individual control of the facility (S50), the device data, the driving data, the surrounding environment state data, and the user data stored in the database are provided to the individual controller via the Internet, and the provided data Based on the control data to control the facility is generated (S60). The generated control data is reflected in the facility control, and is databased and stored for the facility control pattern.

The building energy management system and the control method thereof according to the present invention may be modified or added depending on the characteristics of the building, such as office, food store, university, and hospital.

The building energy management system and its control method are applied to an office as follows. 4 and 5, the user data further includes an employee's ID, an in-house position of the employee, a control pattern of the employee, a connection position of the employee at the time of individual control, and the like. In addition, the user data is automatically updated when an intra-company seat shift or an employee is changed. In addition, not only the database 140, but also a pre-installed in-house system is interlocked with the central controller 150, and individual control is performed on the facility 400 through the IP connection of the employee.

The above-mentioned building energy management system and its control method are applied to a food store as follows. Referring to FIGS. 4 and 5, the ambient environment status data further includes an installation position and an operation state of a refrigerator or a refrigerator. For example, when the facility 400 is an HVAC (Heating, Ventilation, Air Conditioning), and a refrigerator or a refrigerating machine is installed in the vicinity, the temperature of the cooling / heating The settings should be different. Specifically, when the HVAC operates in the cooling mode, the blowing temperature is increased in the direction in which the refrigerating appliance or the refrigerating appliance is installed, and in the direction in which the refrigerating appliance or the refrigerating appliance is installed when the HVAC operates in the heating mode, Change the point. In particular, in consideration of the appropriate storage temperature of the product, the optimal point should be determined so that the temperature and the wind direction of the refrigerator or refrigerator where the product is displayed are sufficiently reflected in the control of the facility 400.

The above-mentioned building energy management system and its control method are applied to universities as follows. Referring to FIGS. 4 and 5, the environmental condition data further includes a user reacquisition, a peak time, and the like. In addition, the user data is further embodied by setting a school schedule, a lecture schedule, a reservation time, and the like. For example, in the case where the multi-air conditioner 410 is installed in the classroom, in order to optimize the reduction of energy consumption and the increase of efficient driving to the facility, for example, the operation of the air conditioner 410 is started before the start of the steel time, The optimum point can be determined so that the operation of the air conditioner 410 can be terminated.

If the environment condition data and the user data do not coincide with each other, for example, if the lecture time table is inconsistent with the user reacquisition, The point should be determined. Thereby reducing the energy consumption for the facility 400 and increasing the efficient driving can be optimized at the same time. In addition, for efficient energy management, the facility 400 can be controlled by interlocking the security system and / or access system installed in the university.

The case of applying the building energy management system and its control method to a hospital is as follows. In the hospital, the building energy management system according to the present invention can be applied for patient monitoring purposes. 4 and 5, the user data further includes a patient's name, ongoing treatment, specific constitution, and patient's condition. In addition, the sensor unit 130 further includes a body response sensor that can accurately monitor the condition of the patient in real time. Data of the patient's pulse, blood pressure, body temperature, blood sugar, etc. obtained from the body response sensor is stored in the database 140 by being logicized along with other data. As such, the optimum point should be determined to individually control the indoor unit blades of the facility 400, for example, VRF HVAC (Variable Refrigerant Flow Heating, Ventilation, Air Conditioning). That is, the existing optimal point for the VRF HVAC can be controlled in the temperature and / or humidity range where the patient's body temperature, blood pressure, pulse, etc. can be ideally maintained while monitoring the patient's condition in real time through the body response sensor can be changed. In addition, when the patient is discharged from the hospital, it is possible to link the system through the mobile device so that the updated control pattern can be equally applied to the facilities installed in the home.

As described above, the building energy management system and the control method thereof according to the embodiment of the present invention can be applied to various fields such as weather data, usage pattern, convenience of operation, characteristics of a building or a building area, Etc., to determine the optimum point that simultaneously satisfies the reduction of energy consumption and the increase of the efficient driving, and accordingly, the facility is controlled so that efficient energy management can be performed. In addition, data related to facilities can be provided to individual controllers through a web server, so that individual control of facilities can be realized, thereby enabling efficient energy management and customized facility control.

100 - central control system 110 - input
120 - output unit 130 - sensor unit
140 - Database 150 - Central Controller
200 - Communication unit 300 - Individual control system
310 - Web service module 330 - Individual controller
400 - Facilities 410 - Multi air conditioner
420 - Lighting equipment

Claims (16)

One or more facilities installed in the building;
At least one central controller in communication with the facility and for centrally controlling the operation of the facility,
The central controller comprises:
The optimum point for optimizing the reduction rate of energy consumption of the facility and the increase rate of efficient driving of the facility is determined by comprehensively considering the device data, operation data, environmental state data, and user data of the facility. It characterized in that the automatic control of the installation to comply with,
Building energy management system.
The method according to claim 1,
The central controller comprises:
A saving mode setting module configured to set a minimum saving criterion of the energy consumption according to a user input or a predetermined criterion; And
And an optimal point calculating module for calculating the optimum point by numerically calculating an expected saving rate of the energy consumption and an expected increase rate of efficient driving based on the data.
Building energy management system.
3. The method according to claim 1 or 2,
An individual controller for individually controlling the facility; And
A web service module in communication with the central controller and the facility, the web service module providing the device data, driving data, environmental condition data, and user data to the individual controller via the Internet;
Said individual controller comprising:
Generating control data for individually controlling the facility by collectively considering the data, and providing the control data to the central controller.
Building energy management system.
3. The method according to claim 1 or 2,
The optimum point is characterized in that it can be changed within a range determined according to whether or not interworking with the external device, the characteristics of the building, or the user preferences,
Building energy management system.
3. The method according to claim 1 or 2,
And a database interworking with the central controller and storing device data, driving data, ambient state data, and user data of the facility, and logicalizing a control pattern for the facility.
Building energy management system.
The method according to claim 1,
It is installed in the building, characterized in that it further comprises one or more sensor unit for sensing the ambient state data,
Building energy management system.
The method of claim 6,
Wherein the environmental condition data includes at least any one of weather data, user reacquisition, spatial characteristics, user connection location, current time, and external device interlocking,
Wherein the sensor unit includes at least one of an infrared sensor, an operation sensor, a body reaction sensor, a temperature sensor, a humidity sensor, a wind direction sensor, an illuminance sensor, and a timer sensor.
Building energy management system.
The method according to claim 1,
An input unit for receiving the user data and monitoring and control commands for the facility; And
Further comprising: an output unit for displaying the current state and operation results of the central controller,
Building energy management system.
The method according to claim 1,
Characterized in that it comprises a communication unit for performing communication between the facility and the central controller,
Building energy management system.
10. The method of claim 9,
Wherein the communication unit is a white-net gateway,
Building energy management system.
Collecting device data, operation data, environmental condition data, and user data for a facility installed in the building;
Calculating the expected reduction rate of energy consumption and the expected increase rate of efficient driving of the facility by comprehensively considering the collected data;
Determining an optimal point for the calculated expected savings rate and expected growth rate; And
And automatically controlling the facility to match the optimum point.
Control method of building energy management system.
12. The method of claim 11,
Providing, via the Internet, the device data, the operational data, the environmental condition data, and the user data to the respective controllers;
Generating control data for individually controlling the facility based on the provided data; And
Further comprising providing the control data to control the facility and storing the control data in a database,
Control method of building energy management system.
12. The method of claim 11,
Storing the device data, operational data, environmental condition data, and user data;
And updating the stored data in real time.
Control method of building energy management system.
Setting a minimum saving criterion of energy consumption for a facility installed in the building, according to user input or preset criteria;
Collecting device data, operational data, environmental condition data, and user data of the facility;
Calculating an expected increase rate of efficient driving of the facility by comprehensively considering the collected data;
Determining an optimal point for optimizing the set saving rate of the set energy consumption and the calculated rate of efficient driving; And
And automatically controlling the facility to match the optimal point.
Control method of building energy management system.
15. The method of claim 14,
Providing device data, operational data, environmental condition data, and user data of the facility to an individual controller over the Internet;
Generating control data for individually controlling the facility based on the provided data; And
Further comprising providing the control data to control the facility and storing the control data in a database,
Control method of building energy management system.
15. The method of claim 14,
Storing device data, operational data, environmental condition data, and user data of the facility; And
And updating the stored data in real time.
Control method of building energy management system.
KR1020110133007A 2011-12-12 2011-12-12 Building energy management system and method for controlling the same KR20130082630A (en)

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WO2015064857A1 (en) * 2013-10-31 2015-05-07 삼성에스디에스 주식회사 Apparatus and method for gathering active and passive data using probabilistic model in control network
KR20150095995A (en) * 2014-02-13 2015-08-24 주식회사 포스코아이씨티 Building Energy Management System Based on Context-Aware and Method for Managing Energy of Building Using The Same
KR20160081222A (en) * 2014-12-31 2016-07-08 주식회사 포스코아이씨티 System and Method for Verifying Prediction Algorithm of Energy Management System Using Virtual Environment
KR20190056634A (en) 2017-11-17 2019-05-27 한국전력공사 System for supporting building energy management, Method thereof, and Computer readable medium storage having the same method

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015064857A1 (en) * 2013-10-31 2015-05-07 삼성에스디에스 주식회사 Apparatus and method for gathering active and passive data using probabilistic model in control network
KR101534477B1 (en) * 2013-10-31 2015-07-07 삼성에스디에스 주식회사 Apparatus and method for active and passive data-gathering using stochastic models in a control network
US9477736B2 (en) 2013-10-31 2016-10-25 Samsung Sds Co., Ltd. Apparatus and method for active and passive data gathering using stochastic model in control network
KR20150095995A (en) * 2014-02-13 2015-08-24 주식회사 포스코아이씨티 Building Energy Management System Based on Context-Aware and Method for Managing Energy of Building Using The Same
KR101633969B1 (en) * 2014-02-13 2016-06-27 주식회사 포스코아이씨티 Building Energy Management System Based on Context-Aware and Method for Managing Energy of Building Using The Same
KR20160081222A (en) * 2014-12-31 2016-07-08 주식회사 포스코아이씨티 System and Method for Verifying Prediction Algorithm of Energy Management System Using Virtual Environment
KR20190056634A (en) 2017-11-17 2019-05-27 한국전력공사 System for supporting building energy management, Method thereof, and Computer readable medium storage having the same method

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