CN109407525A - Building energy saving automatic control system and method based on artificial intelligence - Google Patents
Building energy saving automatic control system and method based on artificial intelligence Download PDFInfo
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- CN109407525A CN109407525A CN201810836054.XA CN201810836054A CN109407525A CN 109407525 A CN109407525 A CN 109407525A CN 201810836054 A CN201810836054 A CN 201810836054A CN 109407525 A CN109407525 A CN 109407525A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000011217 control strategy Methods 0.000 claims abstract description 57
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000004134 energy conservation Methods 0.000 claims abstract description 17
- 238000007405 data analysis Methods 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000005265 energy consumption Methods 0.000 claims description 13
- 238000009790 rate-determining step (RDS) Methods 0.000 claims description 9
- 238000010438 heat treatment Methods 0.000 claims description 6
- 238000004393 prognosis Methods 0.000 claims description 6
- 238000012098 association analyses Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000008859 change Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010921 in-depth analysis Methods 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The present invention provides a kind of building energy saving automatic control system and method based on artificial intelligence, including manual control module and intelligent building control module, in which: manual control module carries out personalized control to building equipment according to actual needs for building user；Intelligent building control module is used for the building data based on actual monitoring, carries out intelligent control to building equipment.The present invention automatically generates the optimal control policy of building equipment using artificial intelligence technology, instead of the expert control strategy system of current automatic building control system field mainstream, human expert is not needed to formulate, optimize the control strategy of building equipment, whole development, the debugging cost of building energy conservation project can be significantly reduced；The present invention has comprehensively considered a variety of building data, carries out global optimum's prediction of building energy saving, realizes the maximization of building energy saving effect, and factor of the present invention due to considering personnel in building does not sacrifice user's body-sensing comfort level while saving energy.
Description
Technical field
The present invention relates to building automation and coutrol fields, and in particular, to a kind of building energy saving based on artificial intelligence is automatic
Control system and method.
Background technique
Automatic building control system (referred to as: building control system) plays vital influence to the energy-saving effect of building.
However, the building control system of current mainstream, relies primarily on the Optimal Control Strategy of the heating and ventilating equipment of human expert formulation, regulates and controls related
Device energy conservation is realized in the operation of equipment.Such method has following defect in practical application:
1. poor universality: different building projects generally require and engage heating and ventilation project expert to optimize its building control system again
Control strategy；
2. high labor cost: experienced expert is engaged, it is costly.For example, in order to reach required energy-saving efficiency, building
The formulation and its debugging cycle for controlling system control strategy may be longer, cause actual cost of labor in the cost of Energy-saving Projects
In accounting it is very high；
3. energy-saving effect is unstable: often having ignored personnel's distribution in building, human comfort, external environment, the energy
Influence of the factors such as price change to building energy consumption.In addition, the control rule that human expert derives, is influenced by personal experience, it can
It can not be most energy-efficient control strategy；
4. sacrifice building user body-sensing comfort level: do not consider different crowd body-sensing difference and thus caused by room temperature
The difference of subjective experience, direct result are, in order to realize the energy conservation of building, to reduce the comfort level of different residents.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of building energy saving based on artificial intelligence is automatic
Control system and method.
A kind of building energy saving automatic control system based on artificial intelligence provided according to the present invention, including manual control mould
Block and intelligent building control module, in which:
Manual control module carries out personalized control to building equipment according to actual needs for building user；
Intelligent building control module is used for the building data based on actual monitoring, carries out intelligent control to building equipment.
Preferably, the intelligent building control module includes building control strategy generation module and building equipment control mould
Block, in which:
Building control strategy generation module is used for the building data based on actual monitoring, automatically generates device energy conservation control plan
Slightly；
Building equipment control module is used to execute the device energy conservation control strategy of building control strategy generation module generation, adjusts
Control the operating parameter of building equipment.
Preferably, the building control strategy generation module includes building data acquisition module, building data analysis module
And building energy saving control strategy generation module, in which:
Building data acquisition module is for obtaining the building data arrived based on actual monitoring；
Building data analysis module is used to analyze the building data of building data acquisition module acquisition, predicts different in building
Dynamic need of the personnel to indoor environment comfort level in the energy consumption trend of region different periods and the region；
It is that building energy saving control strategy generation module is used to analyze based on building data analysis module as a result, generation optimal is set
Standby control strategy.
Preferably, the building data include building energy consumption, heating and ventilating equipment operation conditions, festivals or holidays presupposed information, meteorology
Predictive information, energy power supply price, human comfort information, stream of people's distributed intelligence and/or user information.
It preferably, further include memory module, the memory module includes number for storing building data, the memory module
According to library server or remote data storage center.
Preferably, the building energy saving control strategy generation module with algorithm include clustering algorithm, sorting algorithm,
Prediction algorithm, association analysis algorithm, sharp group's point analysis algorithm, collaborative filtering parser and/or What-if simulation analysis are calculated
Method.
A kind of base of the building energy saving automatic control system according to above-mentioned based on artificial intelligence provided according to the present invention
In the building energy saving autocontrol method of artificial intelligence, include the following steps:
Manual control step: personalized control is carried out to building equipment according to actual needs to building user；
Intelligent building rate-determining steps: the building data based on actual monitoring carry out intelligent control to building equipment.
Preferably, the intelligent building rate-determining steps include:
Building control strategy generation step: the building data based on actual monitoring automatically generate device energy conservation control strategy；
Building equipment rate-determining steps: executing the device energy conservation control strategy that building control strategy generation step generates, regulation
The operating parameter of building equipment.
Preferably, the building control strategy generation step includes:
Building data acquisition step: the building data arrived based on actual monitoring are obtained；
Building data analysis step: analyzing the building data of acquisition, predicts the energy consumption of different zones different periods in building
Dynamic need of the personnel to indoor environment comfort level in trend and the region；
Energy Saving Control algorithm steps: based on the analysis of building data analysis step as a result, generation optimal device control algolithm.
It preferably, further include storing step, the storing step is for storing building data.
Compared with prior art, the present invention have it is following the utility model has the advantages that
1, the present invention automatically generates the optimal control policy of building equipment (such as heating and ventilating equipment) using artificial intelligence technology,
Instead of the expert control strategy system of current automatic building control system field mainstream, human expert is not needed to formulate, optimize building
The control strategy of space equipment can significantly reduce whole development, the debugging cost of building energy conservation project；
2, the present invention has comprehensively considered a variety of building data (energy prices, climatic environment, equipment running status, Ren Yuanxin
Breath etc. factors), carry out global optimum's prediction of building energy saving, realize the maximization of building energy saving effect, overcome because
Human expert experience is insufficient, and the Energy Saving Control strategy frequently resulted in is not optimal problem；
3, the present invention does not sacrifice user's body-sensing comfort level while saving energy due to considering the factor of personnel in building.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is the system diagram of the building energy saving automatic control system of the invention based on artificial intelligence；
The step of Fig. 2 is the building energy saving autocontrol method of the invention based on artificial intelligence is schemed；
Fig. 3 is the first implementation steps figure of the building energy saving autocontrol method of the invention based on artificial intelligence；
Fig. 4 is the second implementation steps figure of the building energy saving autocontrol method of the invention based on artificial intelligence；
Fig. 5 is the third implementation steps figure of the building energy saving autocontrol method of the invention based on artificial intelligence.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
As shown in Figure 1, a kind of building energy saving automatic control system based on artificial intelligence provided according to the present invention, including
Manual control module and intelligent building control module, in which: manual control module is used for building user according to actual needs, such as
Situations such as festivals or holidays arrangement, body-sensing comfort level, carries out personalized control to building equipment；Intelligent building control module is for being based on
The building data of actual monitoring carry out intelligent control to building equipment.The intelligent building control module includes building control plan
Slightly generation module and building equipment control module, building control strategy generation module are used for the building data based on actual monitoring,
Such as stream of people's distribution etc. in weather data, energy prices alteration trend, building, automatically generate device energy conservation control strategy；Building are set
Standby control module is used to execute the device energy conservation control strategy of building control strategy generation module generation, regulates and controls the fortune of building equipment
Row parameter.The building control strategy generation module includes building data acquisition module, building data analysis module and energy conservation
Control algolithm module, building data acquisition module is for obtaining the building data arrived based on actual monitoring, such as weather data, energy
Stream of people's distribution etc. in source price change trend, building；Building data analysis module is used to analyze the acquisition of building data acquisition module
Building data, and calculated using the analysis for including but is not limited to the data driven type that big data analysis is combined with physics energy consumption analysis
Method, building data acquired in depth analysis, and predict energy consumption trend and region of different zones different periods in building
Dynamic need of the interior personnel to indoor environment comfort level；Building energy saving control strategy generation module is used to analyze based on building data
Module analysis as a result, the operating status current in conjunction with building equipment carries out automated tuning to the control parameter model of equipment,
And generate optimal device control strategy.
Further, the building data include but is not limited to building energy consumption, heating and ventilating equipment operation conditions, festivals or holidays it is default
Information, weather prognosis information, energy power supply price, human comfort information, stream of people's distributed intelligence and/or user information.This hair
The bright optimization that Energy Saving Control is carried out using weather prognosis information；The weather prognosis information includes but is not limited to derive to work as ground vapour
The weather station that the weather prognosis information and building issued as department are installed.The present invention comprehensively considers in energy saving optimizing
Various pricing informations, the pricing information include but is not limited to the energy prices information of different periods, price of powering on demand, correlation
Pricing information allow user to modify update and addition in the later period.The user information, is including but not limited to used for
Age, gender, regular job use habit etc. realize energy saving purpose, by being based on while to meet user's body-sensing comfort level
The repetitive exercise of the building energy saving automatic control system of artificial intelligence and update, control the building energy saving based on artificial intelligence automatically
System processed carries out the optimization of Energy Saving Control.
More specifically, the building energy saving automatic control system based on artificial intelligence further includes memory module, the storage
For module for storing building data, the memory module includes database server or remote data storage center.
In more detail, the building energy saving control strategy generation module with algorithm include clustering algorithm, classification calculate
Method, prediction algorithm, association analysis algorithm, sharp group's point analysis algorithm, collaborative filtering parser and/or What-if simulation analysis
Algorithm.
As shown in Fig. 2, what is provided according to the present invention a kind of controls automatically according to the above-mentioned building energy saving based on artificial intelligence
The building energy saving autocontrol method based on artificial intelligence of system processed, includes the following steps: manual control step: using building
Family carries out personalized control to building equipment according to actual needs；Intelligent building rate-determining steps: the building number based on actual monitoring
According to building equipment progress intelligent control.The intelligent building rate-determining steps include: building control strategy generation step: being based on
The building data of actual monitoring, automatically generate device energy conservation control strategy；Building equipment rate-determining steps: building control strategy is executed
The device energy conservation control strategy that generation step generates, regulates and controls the operating parameter of building equipment.
The building control strategy generation step includes: building data acquisition step: obtaining the building arrived based on actual monitoring
Space data；Building data analysis step: analyzing the building data of acquisition, predicts that the energy consumption of different zones different periods in building becomes
Dynamic need of the personnel to indoor environment comfort level in gesture and the region；Building energy saving control strategy generation step: it is based on building
Space data analysis step analysis as a result, generate optimal device control strategy.
It further, further include storing step, the storing step is for storing building data.
The present invention generates energy consumption of building tendency chart by building data, and analyzes all kinds of building based on intelligent algorithm and set
Standby hierarchical energy power and total energy consumption tendency chart, ultimately generates optimal device control strategy.
In specific implementation, the present invention can not need artificial interference, as shown in Figure 3, wherein Architectural Equipment sets for building
It is standby, by obtaining building data, analysis data, forming control strategy, control building equipment, form circulation.
The present invention can not also directly carry out artificial interference, as shown in figure 4, by relevant festivals or holidays/weather prognosis information/
Pricing information/user information is inputted as building data, is generated by intelligent algorithm and is suggested that control strategy carries out building and sets
Standby control.The process of study needs period regular hour, and opposite artificial interference is slow.
The present invention can be combined with artificial interference and artificial intelligence suggests that control strategy realizes Building equipment control, such as Fig. 5
Shown, artificial interference can fast implement the control on demand of Architectural Equipment, can form control by the feedback learning of artificial intelligence
Molding formula realizes lasting optimum control.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (10)
1. a kind of building energy saving automatic control system based on artificial intelligence, which is characterized in that including manual control module and intelligence
Energy building control module, in which:
Manual control module carries out personalized control to building equipment according to actual needs for building user；
Intelligent building control module is used for the building data based on actual monitoring, carries out intelligent control to building equipment.
2. the building energy saving automatic control system according to claim 1 based on artificial intelligence, which is characterized in that the intelligence
Energy building control module includes building control strategy generation module and building equipment control module, in which:
Building control strategy generation module is used for the building data based on actual monitoring, automatically generates device energy conservation control strategy；
Building equipment control module is used to execute the device energy conservation control strategy of building control strategy generation module generation, regulates and controls building
The operating parameter of space equipment.
3. the building energy saving automatic control system according to claim 2 based on artificial intelligence, which is characterized in that the building
Space control strategy generation module includes that building data acquisition module, building data analysis module and building energy saving control strategy are raw
At module, in which:
Building data acquisition module is for obtaining the building data arrived based on actual monitoring；
Building data analysis module is used to analyze the building data of building data acquisition module acquisition, predicts different zones in building
Dynamic need of the personnel to indoor environment comfort level in the energy consumption trend of different periods and the region；
Building energy saving control strategy generation module be used for based on building data analysis module analyze as a result, generation optimal device control
System strategy.
4. the building energy saving automatic control system according to claim 1 based on artificial intelligence, which is characterized in that the building
Space data include building energy consumption, heating and ventilating equipment operation conditions, festivals or holidays presupposed information, weather prognosis information, the energy power supply price,
Human comfort information, stream of people's distributed intelligence and/or user information.
5. the building energy saving automatic control system according to claim 1 based on artificial intelligence, which is characterized in that further include
Memory module, the memory module include database server or long-range number for storing building data, the memory module
According to storage center.
6. the building energy saving automatic control system according to claim 3 based on artificial intelligence, which is characterized in that the building
Space Energy Saving Control policy generation module with algorithm include clustering algorithm, sorting algorithm, prediction algorithm, association analysis algorithm,
Sharp group's point analysis algorithm, collaborative filtering parser and/or What-if simulation analysis algorithm.
7. a kind of building energy saving automatic control system according to claim 1-6 based on artificial intelligence based on
The building energy saving autocontrol method of artificial intelligence, which comprises the steps of:
Manual control step: personalized control is carried out to building equipment according to actual needs to building user；
Intelligent building rate-determining steps: the building data based on actual monitoring carry out intelligent control to building equipment.
8. the building energy saving autocontrol method according to claim 7 based on artificial intelligence, which is characterized in that the intelligence
Can building rate-determining steps include:
Building control strategy generation step: the building data based on actual monitoring automatically generate device energy conservation control strategy；
Building equipment rate-determining steps: executing the device energy conservation control strategy that building control strategy generation step generates, and regulates and controls building
The operating parameter of equipment.
9. the building energy saving autocontrol method according to claim 7 based on artificial intelligence, which is characterized in that the building
Space control strategy generation step includes:
Building data acquisition step: the building data arrived based on actual monitoring are obtained；
Building data analysis step: analyzing the building data of acquisition, predicts the energy consumption trend of different zones different periods in building,
And dynamic need of the personnel to indoor environment comfort level in the region；
Building energy saving control strategy generation step: based on the analysis of building data analysis step as a result, generating optimal device control
Strategy.
10. the building energy saving autocontrol method according to claim 7 based on artificial intelligence, which is characterized in that also wrap
Storing step is included, the storing step is for storing building data.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109978248A (en) * | 2019-03-19 | 2019-07-05 | 深圳睿捷科技服务有限公司 | Building equipment information processing method and device based on artificial intelligence |
| CN110296506A (en) * | 2019-06-13 | 2019-10-01 | 上海依图网络科技有限公司 | A kind of method and device of building air-conditioner control |
| CN111308901A (en) * | 2020-03-10 | 2020-06-19 | 张伟 | Building energy-saving system based on computer |
| CN112394697A (en) * | 2020-11-24 | 2021-02-23 | 中国铁路设计集团有限公司 | Railway station building equipment monitoring and energy management system, program and storage medium |
| CN112947158A (en) * | 2021-01-29 | 2021-06-11 | 安徽建筑大学 | Building intelligent electrical control system |
| CN115616931A (en) * | 2022-12-16 | 2023-01-17 | 广东美的暖通设备有限公司 | Control method, control device, controller, control system, and storage medium |
| CN117073147A (en) * | 2023-10-12 | 2023-11-17 | 方恒通风设备(江苏)有限公司 | Intelligent air conditioner control method and system for building automatic control |
| CN117170273A (en) * | 2023-08-07 | 2023-12-05 | 桂林电子科技大学 | Intelligent electricity-saving control system based on Internet |
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| CN117073147A (en) * | 2023-10-12 | 2023-11-17 | 方恒通风设备(江苏)有限公司 | Intelligent air conditioner control method and system for building automatic control |
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