KR20150026230A - Self running building energy management system using bim data - Google Patents
Self running building energy management system using bim data Download PDFInfo
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- KR20150026230A KR20150026230A KR20130104773A KR20130104773A KR20150026230A KR 20150026230 A KR20150026230 A KR 20150026230A KR 20130104773 A KR20130104773 A KR 20130104773A KR 20130104773 A KR20130104773 A KR 20130104773A KR 20150026230 A KR20150026230 A KR 20150026230A
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- 238000007726 management method Methods 0.000 claims abstract description 150
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- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 17
- 238000007405 data analysis Methods 0.000 claims abstract description 14
- 238000004146 energy storage Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 12
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 10
- 238000005259 measurement Methods 0.000 claims abstract description 7
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 5
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Abstract
The present invention relates to a self-contained building energy management system using BIM data.
To this end, the present invention provides a building energy management system using BIM data, wherein the building energy management system comprises a management apparatus, a user terminal, and a facility management unit of each building, wherein the management apparatus includes a database, a BIM data processing unit, Wherein the BIM data of the building to be subjected to energy management is converted into data required for energy management, and the BIM data to be stored is stored in the database. A storage unit; A target energy storage unit for storing data including target energy according to the purpose of the space, the time zone, the type of energy, and the like; A meteorological station data storage unit in which meteorological data including meteorological data such as outside temperature and humidity are transmitted and stored as data of meteorological stations; And a unit price data storage unit for storing unit price data according to the type of energy, wherein the BIM data processing unit converts BIM data of a building, which is an object of energy management, into data required for energy management, The analysis unit analyzes the difference between the ambient condition and the target energy based on the data of the target energy storage unit and the weather station data storage unit, and the scenario derivation unit derives a scenario of equipment operation based on the data derived by the data analysis unit And the demand predicting unit predicts data including a demand amount according to the use of space, time zone, energy, and the amount of generated carbon dioxide according to the data derived by the scenario deriving unit, and the comparison deriving unit predicts, Measured in real time by The web server unit transmits and receives data to and from the communication unit of the user terminal and the facility management unit through the network, The user terminal includes a communication unit that allows a user to transmit and receive data to and from the management apparatus, and the facility management unit includes: a data collection server that receives measured data from a measurement sensor of each facility; And a communication unit for transmitting / receiving data of the data collection server to / from the management apparatus.
Description
The present invention relates to a self-contained building energy management system using BIM data. More particularly, the building energy management system comprises a management device, a user terminal, and a facility management unit for each building, By using the BIM data, we can derive a scenario of optimum operation of the facility and predict the amount of demand according to the purpose of the space, the time zone and the type of energy based on the data measured in real time, And a self-running building energy management system using BIM data.
Recent buildings are designed to have multiple uses, and buildings tend to become larger and more complex. Accordingly, equipment such as air-conditioning equipment, heating and cooling equipment, electric power equipment, pump equipment, elevator equipment, etc. are becoming larger and more complicated to manage, and a building energy management system (BEMS ) Have been developed in various ways.
Generally, the building energy management system (BEMS) refers to an integrated building energy management system for grasping indoor environment and energy use status, and reducing energy consumption through operation management of facility equipment and the like.
Meanwhile, the conventional building energy management system described above has the following problems.
First, even if the information on the shape and position of the building, the use of each room and the material of the building is lacking or the characteristic of the building is reflected, the user must input the numerical value individually. And there was an inconvenience that the user would fill in the numerical values one by one.
Also, even if information on the energy consumption is presented to the user, it is difficult for the general person who does not have expert knowledge of the facility equipment to make energy management efficient, and it is more difficult to achieve energy efficiency in a large and complicated building.
On the other hand, even if the sensors are individually installed in the equipment and the use of the energy is measured, only the information on the individual equipment is known, and it is difficult to effectively collect the energy consumption according to the space usage, the time zone, And it was accompanied by economic time burden to manage the sensors individually.
In addition, most building energy management systems are often aimed at maintenance of facilities rather than energy efficiency, so they can not accumulate historical data and can be applied to future energy management or other building cases There was no.
In addition, the users' energy consumption patterns are not understood and considered as variables of energy management.
Meanwhile, Korean Patent Registration No. 10-1151480 entitled " Simulation-based building energy management system and building energy management method using the same " (hereinafter referred to as " prior art document "
However, prior literature does not apply the simulation information of the building as a parameter of energy management, but it is used as an auxiliary data to inform the user of building operation more quantitatively and visually.
SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems, and it is an object of the present invention to provide an information processing system and a method, It is possible to effectively manage energy consumption according to the purpose of the space, the time zone, the kind of energy, etc., and to facilitate the management of the sensor. Further, The present invention is intended to provide a self-contained building energy management system using BIM data that can be applied to energy management and other building cases and can self-run the system itself by grasping the energy consumption patterns of users.
In order to solve the above problems, a self-contained building energy management system using BIM data according to the present invention is a building energy management system (BEMS) using BIM data, wherein the building energy management system (BEMS) The BIM data processing unit 120, the data analysis unit 130, and the scenario generation unit 130. The
The database 110 includes a user pattern storage unit 115 for storing energy consumption pattern data of a user transmitted from the
The data analyzing unit 130 analyzes the difference between the ambient condition and the target energy based on the data of the target energy storage unit 112 and the weather station data storage unit 113 according to the purpose of the space, A comparative analysis module 131 for analyzing the contents; And a performance analysis module (132) for analyzing performance of the facility apparatus.
The scenario derivation unit 140 generates the scenario data based on the data derived by the data analysis unit 130 and the data of the BIM data storage unit 111 and the energy cost data storage unit 114, An economics analysis module 141 for analyzing the economical efficiency of the operation; And a scenario derivation module 142 for deriving a scenario of facility equipment operation based on the data derived by the economics analysis module 141.
The comparison derivation unit 160 may calculate a demand amount based on the data measured in real time by the
The
In addition, the
Data stored in the database 110 is accumulated in the case book holder 116 for each case of each building and data stored in the case storing unit 116 is stored in another building based on case based reasoning (CBR) Is reflected in the scenario derivation unit (140) of the management apparatus (100) in the energy management of the management apparatus (100).
The self-contained building energy management system using the above-mentioned BIM data has the effect of making more accurate prediction by considering the shape and position of the building, the use of each room, and the materials of the building as variables by using the BIM data.
In other words, unlike the prior art literature, the three-dimensional data of BIM are not merely ancillary data that notify visual reality of building operation, but are considered as an active energy management variable.
In addition, it is possible to eliminate the inconvenience of the user writing information through the BIM data processing unit.
In addition, although the user can directly manage the equipment through the terminal, the manager who is an expert at the integrated control center manages the facility equipment remotely through the terminal, and energy consumption efficiency can be improved even in a large-sized and complicated building.
Further, the data collection server can be installed to effectively collect energy consumption depending on the purpose of the space, the time zone, the kind of energy, and the like.
In addition, information on databases of other cases is accumulated in the case storage section, which has an advantage that it can be applied to future energy management and other buildings.
Then, the energy consumption pattern of the user is stored in the user pattern storage unit, the data is provided to the scenario derivation unit, and the changed operation condition through the abnormality notification module of the comparison derivation unit is stored through the self- And is operated automatically in real time. It also communicates the changes to the user in real time.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing a configuration of a self-contained building energy management system using BIM data according to the present invention.
2 is a block diagram showing a schematic configuration of a self-contained building energy management system using BIM data according to the present invention.
3 is a block diagram illustrating a database of a self-contained building energy management system using BIM data according to the present invention.
4 is a block diagram showing a sub-configuration of a management apparatus of a self-contained building energy management system using BIM data according to the present invention.
5 is a block diagram showing a facility management unit and a facility apparatus of a self-contained building energy management system using BIM data according to the present invention.
6 is a block diagram illustrating an overall algorithm of a self-contained building energy management system using BIM data according to the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing the constitution of a self-contained building energy management system using BIM data according to the present invention, and can be classified into a plurality of buildings to be an energy management target, have.
The integrated control center includes the
Therefore, although the user can directly manage the user through the
In addition, each building to be managed includes a
2 is a block diagram showing a schematic configuration of a self-contained building energy management system using BIM data according to the present invention.
Specifically, the building energy management system (BEMS) is composed of a
At this time, the network may be implemented in various ways such as a wired / wireless Internet, an intranet, and a LAN.
The
The
The
The
The
The web server unit 170 of the
3, the database 110 of the
The BIM data storage unit 111 is a database in which BIM data of a building to be subjected to energy management is converted into data required for energy management and stored.
The BIM data of the building is input through the input unit 220 of the
The BIM (Building Information Modeling) is a digital model that provides a reliable basis for making decisions during the life cycle of a facility by physical or functional characteristics of a facility object in all fields including construction, civil engineering, and plant. It is meant to encompass business procedures.
The BIM data includes material information of a building, shape and position of a building, usage information of each room, and the like. Specifically, the material information of a building includes information such as a window and a wall. In one example, the window information includes information on a free glass and a frame of a window, and includes information such as a heat flow rate (U-factor) and a solar heat gain coefficient (SHGC) .
The location of the building includes a direction, and even a building of the same purpose may be a factor that greatly influences the management of temperature depending on whether it is a southward or a northward direction.
Therefore, the present invention can use the BIM data to take into account variables such as the shape and location of a building, the use of each room, and the materials of a building, thereby enabling a more accurate prediction related to energy management.
Meanwhile, the target energy storage unit 112 is a database for storing data including target energy according to the purpose of the space, the time zone, the type of energy, etc., inputted by the
In one embodiment, the user sets the temperature of the lobby to be 26 degrees or less between 2 o'clock and 5 o'clock in July and August, when the outdoor temperature is high. In order to reduce the total power consumption to 1000 kWH You can enter energy.
In addition, the weather station data storage unit 113 is a database in which meteorological station data including weather temperature, humidity, etc. are transmitted and stored in real time as data of a weather station, and the energy unit price data storage unit 114 stores the energy It is a database in which unit price data according to the kind is stored.
The energy unit price data storage unit 114 may store and store information that changes in real time through the terminal 200 by an administrator of the integrated control center.
At this time, the energy may include electricity, water, gas, oil, solar heat, and the like.
Meanwhile, the BIM data processing unit 120 of the
The data analysis unit 130 analyzes the difference between the ambient condition and the target energy based on the data of the target energy storage unit 112 and the weather station data storage unit 113.
Specifically, the data analysis unit 130 analyzes the difference between the ambient condition and the target energy based on the data of the target energy storage unit 112 and the weather station data storage unit 113 according to the purpose of the space, the time zone, A comparison analysis module 131 for analyzing and a performance analysis module 132 for analyzing the performance of the
The
At this time, the performance of the
Meanwhile, the scenario derivation unit 140 derives a scenario of facility equipment operation based on the data derived by the data analysis unit 130.
Specifically, the scenario derivation unit 140 generates the scenario data based on the data derived by the data analysis unit 130 and the data of the BIM data storage unit 111 and the energy cost data storage unit 114 And a scenario derivation module 142 for deriving a scenario of equipment operation based on the data derived by the economics analysis module 141 and the economic efficiency analysis module 141 for analyzing the economic efficiency of the facility.
For example, the economics analysis module 141 derives the expected cost by using the data of the BIM data storage unit 111 and the energy cost data storage unit 114, and the material of the walls constituting each room The degree of heat insulation and heat storage can be predicted, and the direction of each room can be taken into consideration. Further, information such as heat flow rate and solar heat acquisition coefficient can be additionally reflected, so that unnecessary energy consumption can be prevented And the scenario derivation module 142 may derive an optimal scenario by reflecting the same.
In one embodiment, a scenario may be drawn up that the air conditioner of the lobby is operated for 30 minutes on the basis of 09 o'clock so that the humidity of the lobby can be maintained at about 40% on the basis of 09 o'clock of the work time.
On the other hand, the demand predicting unit 150 predicts data including the amount of demand according to the purpose of the space, the time zone, the energy, and the amount of generated carbon dioxide according to the data derived by the scenario deriving unit 140.
Specifically, when the demand for using 100 kW of electric energy in the lobby from 08:00 to 09:00 is predicted by the scenario deriving unit 140, the electricity cost is calculated on the basis of the energy unit price, and the predicted generation amount of carbon dioxide .
The comparison deriving unit 160 estimates the amount of demand according to the purpose of the space, the time zone, and the type of energy based on the data measured in real time by the
Specifically, the comparison derivation unit 160 calculates a real-time demand based on the data measured in real time by the
At this time, the
Accordingly, the data collected by the
The comparison derivation unit 160 may be configured such that the
If the comparison result by the comparison derivation module 162 is out of the normal category, the abnormality notification module 163 determines that the abnormality has occurred and that the abnormality notification module 163 notifies the
Specifically, when the
That is, the real-time feedback of the user and the like can be performed through the abnormality notification module 163 of the comparison derivation unit 160 and is stored in the user pattern storage unit 115 of the
The
That is, the
The web server unit 170 transmits and receives data to and from the communication unit of the
The input unit 220 and the output unit 230 of the
At this time, the user or the like transmits and receives data to and from the
The database 110 includes a user pattern storage unit 115 for storing energy consumption pattern data of a user transmitted from the
The energy consumption pattern of the user stored in the user pattern storage unit 115 refers to data accumulated cumulatively information on operation of the equipment in a specific time period. The user pattern storage unit 115, as described above, Information about anomalous phenomenon is also stored together with the abnormality notification module 163, so that the
On the other hand, the data stored in the database 110 for each case of each building is stored in the case storage unit 116, and the data stored in the case storage unit 116 is stored in the case storage unit 116 based on case-based reasoning And may be reflected in the scenario derivation unit 140 of the
Therefore, the information of the database of the past cases is accumulated in the case storage unit 116, which can be applied to future energy management and other buildings.
On the other hand, the data stored in the case storage unit 116 can be used as academic data for analyzing interlinkage by classifying the factors that affect the energy management after the passive element and the active element.
This is reflected in the design of similar buildings and can be a good basis for eco-friendly building design.
The building energy management system using the BIM data according to the present invention described above is not limited to the above-described embodiments, and various modifications and changes may be made without departing from the spirit and scope of the present invention, It should be regarded as belonging to the scope of the scope of the patent claims to the extent that any person skilled in the art can make various changes and implement them.
100: management device 110: database
111: BIM data storage unit 112: target energy storage unit
113: weather station data storage unit 114: energy unit price data storage unit
115: User pattern storage unit 116: Case storage unit
120: BIM data processing unit 130:
131: comparison analysis module 132: performance analysis module
140: Scenario deriving part 141: Economic efficiency analysis module
142: scenario derivation module 150: demand forecast section
160: comparison derivation unit 161: real-time demand prediction module
162: comparison derivation module 163: abnormality notification module
170: Web server unit 180: Data conversion unit
200: user terminal 210: communication unit
220: input unit 230: display unit
300: facility management unit 310: data collection server
320: communication unit 330: management server
400: Equipment 410: Measuring sensor
Claims (8)
The building energy management system (BEMS) includes a management apparatus 100, a user terminal 200, and a facility management unit 300 of each building,
The management apparatus 100 includes a database 110, a BIM data processing unit 120, a data analysis unit 130, a scenario derivation unit 140, a demand prediction unit 150, a comparison derivation unit 160, (170)
The database (110)
A BIM data storage unit 111 in which BIM data of a building to be subjected to energy management is converted into data required for energy management and stored;
A target energy storage unit 112 for storing data including target energy according to the purpose of the space, time zone, type of energy, and the like;
A meteorological station data storage unit 113 in which meteorological data including time, outdoor temperature, humidity and the like are transmitted and stored as data of the meteorological office; And
And an energy unit price data storage unit 114 for storing unit price data according to the kind of energy,
The BIM data processing unit 120 converts BIM data of a building, which is an object of energy management, into data required for energy management,
The data analyzer 130 analyzes the difference between the ambient condition and the target energy based on the data of the target energy storage unit 112 and the weather station data storage unit 113,
The scenario derivation unit 140 derives a scenario of facility equipment operation based on the data derived by the data analysis unit 130,
The demand predicting unit 150 predicts data including the amount demanded according to the purpose of the space, the time zone and the energy, and the amount of generated carbon dioxide according to the data derived by the scenario deriving unit 140,
The comparison derivation unit 160 estimates the amount of demand according to the purpose of the space, the time zone, and the energy based on the data measured in real time by the facility management unit 300, and compares the demand with the data of the demand prediction unit 150 In addition,
The web server unit 170 transmits and receives data to and from the communication unit of the user terminal 200 and the facility management unit 300,
The user terminal 200 includes a communication unit 210 that enables a user to transmit and receive data to and from the management device 100,
The facility management unit (300)
A data collection server 310 for receiving measured data from the measurement sensor 410 of the facility 400 of each building;
A communication unit 320 for transmitting / receiving data of the data collection server 310 to / from the management device 100;
Wherein the BIM data is stored in the storage unit.
The database 110 includes a user pattern storage unit 115 for storing energy consumption pattern data of a user transmitted from the data collection server 310 of the facility management unit 300. The scenario derivation unit 140 ) Further derives a scenario of operation of the facility by considering the data of the user pattern storage unit (115) additionally. ≪ RTI ID = 0.0 > [10] < / RTI >
The data analysis unit 130 analyzes the data,
A comparison analysis module 131 for analyzing the difference between the ambient condition and the target energy based on the data of the target energy storage unit 112 and the weather station data storage unit 113 according to the purpose of the space, And
And a performance analysis module (132) for analyzing the performance of the facility apparatus.
The scenario derivation unit 140,
An economics analysis module 141 for analyzing the economy of the operation of the facility 400 based on the data derived by the data analysis unit 130 and the data of the BIM data storage unit 111 and the energy cost data storage unit 114 ); And
And a scenario derivation module (142) for deriving a scenario of equipment operation based on the data derived by the economics analysis module (141).
The comparison derivation unit (160)
A real-time demand prediction module 161 for predicting the amount of demand according to the type of space, time zone, and energy based on data measured in real time by the data collection server 310 of the facility management unit 300;
A comparison derivation module 162 for comparing the data derived by the real-time demand prediction module 161 with the data of the demand prediction unit 150 to determine whether an abnormal phenomenon has occurred; And
And an abnormality notification module (163) for informing the user of the abnormality through the web server unit (170) when an abnormality occurs in the data derived by the comparison derivation module (162) The operation condition is stored in the user pattern storage unit 115 through the self-running function, and then reflected in the scenario derivation unit 140 so as to be automatically operated in real time, and the BIM data is transmitted to the user in real time. Using self - running building energy management system.
The facility management unit 300 includes a management server 330 that controls the facilities 400 of each building. When the anomaly notification module 163 of the comparison derivation unit 160 notifies an abnormal phenomenon, Is connected to the web server unit (170) of the management apparatus (100) and is connected to the management server (330).
The management apparatus 100 includes a data conversion unit 180 that converts data of the data collection server 310 of the facility management unit 300 into data required for energy management. Building energy management system.
Data stored in the database 110 is accumulated in the case book holder 116 for each case of each building and data stored in the case storing unit 116 is stored in the case building based on case based reasoning (CBR) And is reflected in the scenario derivation unit (140) of the management apparatus (100) in energy management.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106996804A (en) * | 2017-04-01 | 2017-08-01 | 深圳市新科聚合网络技术有限公司 | Indoor air chemical pollution visualization system based on BIM |
| KR20180077516A (en) * | 2016-12-29 | 2018-07-09 | 한국에너지기술연구원 | System and Method for Predicting Performance of New and Renewable Energy System Based on Measured Data |
| KR20180111177A (en) * | 2017-03-31 | 2018-10-11 | 한국전력공사 | System and method for managing energy og building |
| KR20190071503A (en) * | 2017-12-14 | 2019-06-24 | 한전케이디엔주식회사 | Enhanced learning based energy usage virtual data generation system |
| KR102051600B1 (en) * | 2018-11-28 | 2020-01-08 | 주식회사 한일엠이씨 | Real-time operation support methods to improve energy efficiency of building HVAC systems |
| CN111629064A (en) * | 2020-06-02 | 2020-09-04 | 郑州铁路职业技术学院 | Building monitoring system based on BIM technology |
| KR20200142874A (en) * | 2019-06-13 | 2020-12-23 | 동의대학교 산학협력단 | Electronic device for simulating an energy consumed by a building based on extracted geomerty information of the building |
| CN112380661A (en) * | 2020-12-04 | 2021-02-19 | 升维科技有限公司 | Building management pipeline arrangement optimization system based on BIM |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180077516A (en) * | 2016-12-29 | 2018-07-09 | 한국에너지기술연구원 | System and Method for Predicting Performance of New and Renewable Energy System Based on Measured Data |
| KR20180111177A (en) * | 2017-03-31 | 2018-10-11 | 한국전력공사 | System and method for managing energy og building |
| CN106996804A (en) * | 2017-04-01 | 2017-08-01 | 深圳市新科聚合网络技术有限公司 | Indoor air chemical pollution visualization system based on BIM |
| KR20190071503A (en) * | 2017-12-14 | 2019-06-24 | 한전케이디엔주식회사 | Enhanced learning based energy usage virtual data generation system |
| KR102051600B1 (en) * | 2018-11-28 | 2020-01-08 | 주식회사 한일엠이씨 | Real-time operation support methods to improve energy efficiency of building HVAC systems |
| KR20200142874A (en) * | 2019-06-13 | 2020-12-23 | 동의대학교 산학협력단 | Electronic device for simulating an energy consumed by a building based on extracted geomerty information of the building |
| CN111629064A (en) * | 2020-06-02 | 2020-09-04 | 郑州铁路职业技术学院 | Building monitoring system based on BIM technology |
| CN111629064B (en) * | 2020-06-02 | 2023-06-02 | 郑州铁路职业技术学院 | Building monitoring system based on BIM technology |
| CN112380661A (en) * | 2020-12-04 | 2021-02-19 | 升维科技有限公司 | Building management pipeline arrangement optimization system based on BIM |
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