CN110210998A - Wisdom based on deep learning builds Adaptive synthesis management-control method - Google Patents
Wisdom based on deep learning builds Adaptive synthesis management-control method Download PDFInfo
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- CN110210998A CN110210998A CN201910416762.2A CN201910416762A CN110210998A CN 110210998 A CN110210998 A CN 110210998A CN 201910416762 A CN201910416762 A CN 201910416762A CN 110210998 A CN110210998 A CN 110210998A
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- 230000003044 adaptive effect Effects 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000013135 deep learning Methods 0.000 title claims abstract description 9
- 230000015572 biosynthetic process Effects 0.000 title claims abstract description 8
- 238000003786 synthesis reaction Methods 0.000 title claims abstract description 8
- 238000003062 neural network model Methods 0.000 claims abstract description 20
- 238000010276 construction Methods 0.000 claims abstract description 13
- 230000005662 electromechanics Effects 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 7
- 238000005265 energy consumption Methods 0.000 claims description 6
- 238000011217 control strategy Methods 0.000 abstract description 6
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
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- 238000013527 convolutional neural network Methods 0.000 description 1
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- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000007618 network scheduling algorithm Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
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Abstract
A kind of wisdom building Adaptive synthesis management-control method based on deep learning, is related to technical field of the electromechanical equipment, the solution is to manage wisdom building.This method manages each electromechanical equipment in wisdom building first with manually, and acquires wisdom construction characteristic data input neural network model in real time during artificial control and be trained；And the work condition state of each electromechanical equipment in wisdom building is predicted using neural network model；If prediction result is consistent with artificial control result, it is transferred to automatic pipe diameter design, each electromechanical equipment in wisdom building is managed using neural network model；And under automatic pipe diameter design, if there is the control of each electromechanical equipment in manpower intervention wisdom building, then terminates automatic pipe diameter design, be transferred to artificial pipe diameter design.Method provided by the invention, can be according to the control strategy of electromechanical equipment in the adaptive adjustment wisdom building of variation of use demand.
Description
Technical field
The present invention relates to the technologies of electromechanical equipment, adaptive comprehensive more particularly to a kind of wisdom building based on deep learning
Close the technology of management-control method.
Background technique
Wisdom building has become the new trend of Building technology development, and wisdom is built all using building as platform, using BA system
System (Building Automation System, abbreviation BA system) has to control the electromechanical equipment in building and perceives, passes
The synthesis intelligent capability of defeated, memory, reasoning, judgement and decision forms the intergrant coordinated each other with people, building, environment, is people
Safe and efficient, convenient and sustainable development function environment building is provided.
Wisdom builds management and the operational objective for having safe and healthy, comfortable, cleaning, convenience, energy conservation, green, low-carbon etc.,
Realize the control strategy for uniformly needing to form a large amount of electromechanical equipment of these targets.Due to Form of Architecture is different, Various Functions,
User is different, and each target, each system have an a large amount of coupling again, and the customization complexity of control strategy has exceeded expectation, and BA
The horizontal height of systematic difference is largely dependent on the depth of engineer's customization, debugging, adjustment, when use demand changes
Can not adjust automatically, require manual intervention readjustment, have hysteresis quality, growing life and work can not be able to satisfy
Living environment's demand.
Summary of the invention
For above-mentioned defect existing in the prior art, technical problem to be solved by the invention is to provide a kind of energy bases
The wisdom based on deep learning of the adaptive adjustment control strategy of the variation of use demand builds Adaptive synthesis management-control method.
In order to solve the above-mentioned technical problem, a kind of wisdom building based on deep learning provided by the present invention is adaptive comprehensive
Close management-control method, which is characterized in that specific step is as follows:
A neural network model is first constructed, then implements artificial pipe diameter design；
Under artificial pipe diameter design, each electromechanical equipment in wisdom building is managed using manually, and during artificial control
Acquisition wisdom construction characteristic data in real time, and the wisdom construction characteristic data of acquisition input neural network model is trained；
Wisdom construction characteristic data include that each electromechanics in environmental parameter, building energy consumption and the wisdom building of wisdom building is set
Standby work condition state, wisdom building in each region stream of people's situation；
Under artificial pipe diameter design, according to the people in each region in the environmental parameter of wisdom building, building energy consumption and wisdom building
Stream situation predicts the work condition state of each electromechanical equipment in wisdom building using neural network model；If prediction result with
Artificial control result is consistent, then terminates artificial pipe diameter design, be transferred to automatic pipe diameter design；
Under automatic pipe diameter design, according to the wisdom construction characteristic data acquired in real time, intelligence is managed using neural network model
Each electromechanical equipment in intelligent building；And under automatic pipe diameter design, if there is each electromechanics in manpower intervention wisdom building is set
Standby control then terminates automatic pipe diameter design, is transferred to artificial pipe diameter design.
Wisdom provided by the invention based on deep learning builds Adaptive synthesis management-control method, and it is special first to acquire wisdom building
Sign data are trained neural network model, neural network model are automatically formed according to different use requirements various
Then the control strategy of optimization recycles the neural network model after training to set to manage each electromechanics in wisdom building
It is standby, when the use demand of wisdom building changes, the control strategy of the adaptive adjusting and optimizing of neural network model energy.
Specific embodiment
Technical solution of the present invention is described in further detail below in conjunction with specific embodiment, but the present embodiment and is not had to
It is all that protection scope of the present invention should all be included in using similar structure and its similar variation of the invention in the limitation present invention, this
Pause mark in invention indicates the relationship of sum, and the English alphabet in the present invention is case sensitive.
A kind of wisdom building Adaptive synthesis management-control method based on deep learning, special provided by the embodiment of the present invention
Sign is, the specific steps are as follows:
A neural network model is first constructed, then implements artificial pipe diameter design；
Under artificial pipe diameter design, each electromechanical equipment in wisdom building is managed using manually, and during artificial control
Acquisition wisdom construction characteristic data in real time, and the wisdom construction characteristic data of acquisition input neural network model is trained；
Wisdom construction characteristic data include that each electromechanics in environmental parameter, building energy consumption and the wisdom building of wisdom building is set
Standby work condition state, stream of people's situation (stream of people's situation can using camera acquire) in each region in wisdom building；Wisdom building
Environmental parameter includes temperature, the humidity, illumination, air quality (carbon dioxide, formaldehyde in air etc. of wisdom building local environment
The concentration of harmful substance)；
Under artificial pipe diameter design, according to the people in each region in the environmental parameter of wisdom building, building energy consumption and wisdom building
Stream situation predicts the work condition state of each electromechanical equipment in wisdom building using neural network model；If prediction result with
Artificial control result is consistent, then terminates artificial pipe diameter design, be transferred to automatic pipe diameter design；
Under automatic pipe diameter design, according to the wisdom construction characteristic data acquired in real time, intelligence is managed using neural network model
Each electromechanical equipment in intelligent building；And under automatic pipe diameter design, if there is each electromechanics in manpower intervention wisdom building is set
Standby control then terminates automatic pipe diameter design, is transferred to artificial pipe diameter design.
In the embodiment of the present invention, the neural network model can be using multilayer perceptron, convolutional neural networks, circulation mind
Through network, depth confidence network scheduling algorithm.
The building of wisdom described in the embodiment of the present invention can be single building, be also possible to the combination of multiple buildings.
Claims (1)
1. a kind of wisdom based on deep learning builds Adaptive synthesis management-control method, which is characterized in that specific step is as follows:
A neural network model is first constructed, then implements artificial pipe diameter design；
Under artificial pipe diameter design, each electromechanical equipment in wisdom building is managed using manually, and during artificial control
Acquisition wisdom construction characteristic data in real time, and the wisdom construction characteristic data of acquisition input neural network model is trained；
Wisdom construction characteristic data include that each electromechanics in environmental parameter, building energy consumption and the wisdom building of wisdom building is set
Standby work condition state, wisdom building in each region stream of people's situation；
Under artificial pipe diameter design, according to the people in each region in the environmental parameter of wisdom building, building energy consumption and wisdom building
Stream situation predicts the work condition state of each electromechanical equipment in wisdom building using neural network model；If prediction result with
Artificial control result is consistent, then terminates artificial pipe diameter design, be transferred to automatic pipe diameter design；
Under automatic pipe diameter design, according to the wisdom construction characteristic data acquired in real time, intelligence is managed using neural network model
Each electromechanical equipment in intelligent building；And under automatic pipe diameter design, if there is each electromechanics in manpower intervention wisdom building is set
Standby control then terminates automatic pipe diameter design, is transferred to artificial pipe diameter design.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910416762.2A CN110210998A (en) | 2019-05-20 | 2019-05-20 | Wisdom based on deep learning builds Adaptive synthesis management-control method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910416762.2A CN110210998A (en) | 2019-05-20 | 2019-05-20 | Wisdom based on deep learning builds Adaptive synthesis management-control method |
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| Publication Number | Publication Date |
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| CN110210998A true CN110210998A (en) | 2019-09-06 |
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| CN201910416762.2A Pending CN110210998A (en) | 2019-05-20 | 2019-05-20 | Wisdom based on deep learning builds Adaptive synthesis management-control method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110691453A (en) * | 2019-10-18 | 2020-01-14 | 浪潮软件集团有限公司 | Method for efficiently managing and controlling intelligent street lamp by adopting artificial intelligence technology |
-
2019
- 2019-05-20 CN CN201910416762.2A patent/CN110210998A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110691453A (en) * | 2019-10-18 | 2020-01-14 | 浪潮软件集团有限公司 | Method for efficiently managing and controlling intelligent street lamp by adopting artificial intelligence technology |
| CN110691453B (en) * | 2019-10-18 | 2021-07-13 | 浪潮软件股份有限公司 | Method for efficiently managing and controlling intelligent street lamp by adopting artificial intelligence technology |
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| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190906 |
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| WD01 | Invention patent application deemed withdrawn after publication |