CN207555899U - A kind of central air-conditioning regulating system based on neural network prediction - Google Patents
A kind of central air-conditioning regulating system based on neural network prediction Download PDFInfo
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- CN207555899U CN207555899U CN201721598700.0U CN201721598700U CN207555899U CN 207555899 U CN207555899 U CN 207555899U CN 201721598700 U CN201721598700 U CN 201721598700U CN 207555899 U CN207555899 U CN 207555899U
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Abstract
The utility model discloses a kind of central air-conditioning regulating systems based on neural network prediction, including central controller, central controller is internally provided with nerve network controller and neural network prediction device, the input terminal of central controller is connected with power supply module, wind pressure detector and temperature sensor, the output terminal of central controller is connected with frequency converter and pressure fan, frequency converter is connected with air-conditioner set, air-conditioner set is connected with pressure fan, pressure fan is connected with wind pipe, and wind pressure detector and temperature sensor are arranged on wind pipe；The wind pressure situation of each air outlet of the wind pipe of wind pressure detector detection pressure fan is collected by central controller, and temperature sensor is in the collected indoor temperature of each air outlet institute and air outlet temperature information, prediction is trained in conjunction with nerve network controller and neural network prediction device, quickly obtain prediction result and feed back to central controller, it realizes dynamic regulation, has many advantages, such as that stability is good, fast response time.
Description
Technical field
The utility model is related to a kind of central air-conditioning, particularly a kind of central air-conditioning based on neural network prediction adjusts system
System.
Background technology
Central air-conditioning is a huge and complicated system, mainly includes air conditioner cold-heat source system, cooling water and freezing
Water system, control system etc., since system thermal capacity is big, the reasons such as inertia is big and ventilation shaft is longer so that whole system is deposited
It is a kind of multivariable between very big hysteresis quality, air conditioning energy consumption and each influence factor, close coupling, serious non-linear
Relationship, have very strong dynamic, current central air-conditioning mostly use conventional method（Such as CPC control becomes static pressure control
System, total air volume control etc.）It is influenced, but these methods are all based on theoretical foundation to carry out caused by system hysteresis quality to overcome
It adjusts, there are larger limitation, for the central air conditioner system with nonlinear characteristic, in stability and response speed
On be all difficult to reach preferable performance indicator.
Invention content
For overcome the deficiencies in the prior art, a kind of dynamic regulation of the utility model offer, stability are good, fast response time
Based on neural network prediction energy-saving central air-conditioning.
Technical solution is used by the utility model solves its technical problem：
A kind of central air-conditioning regulating system based on neural network prediction, including central controller, the central controller
Be internally provided with nerve network controller and neural network prediction device, the input terminal of the central controller is connected with power supply mould
Block, wind pressure detector and temperature sensor, the output terminal of the central controller are connected with frequency converter and pressure fan, the frequency conversion
Device is connected with air-conditioner set, and the air-conditioner set is connected with the pressure fan, and the pressure fan is connected with wind pipe, described
Wind pressure detector and the temperature sensor are arranged on the wind pipe.
The wind pressure detector and temperature sensor are arranged at the air outlet of the wind pipe.
The nerve network controller is BP neural network controller.
The neural network prediction device is Elman neural network prediction devices.
The model DS18B20 of the temperature sensor.
Chip signal in the central controller is S3C2416.
The beneficial effects of the utility model are：The utility model collects the detection air-supply of wind pressure detector by central controller
The wind pressure situation and temperature sensor of each air outlet of the wind pipe of machine are in the collected Indoor Temperature of each air outlet institute
Degree and air outlet temperature information, are trained prediction in conjunction with nerve network controller and neural network prediction device, quickly obtain
Prediction result simultaneously feeds back to central controller, realizes dynamic regulation, has many advantages, such as that stability is good, fast response time.
Description of the drawings
The utility model is further illustrated with reference to the accompanying drawings and examples.
Fig. 1 is the structure diagram of the utility model；
Fig. 2 is the nerve network controller of the utility model and neural network prediction device fundamental diagram.
Specific embodiment
With reference to Fig. 1, Fig. 2, a kind of central air-conditioning regulating system based on neural network prediction, including central controller, institute
The model S3C2416 of the main control chip in central controller is stated, the central controller is internally provided with neural network control
Device and neural network prediction device processed, in the present embodiment, the nerve network controller be BP neural network controller, the god
It is Elman neural network prediction devices through neural network forecast device, by the way that the BP neural network controller and Elman neural networks is pre-
It surveys device to be combined, can realize that the information acquired to the central controller carries out fast prediction；The central controller
Input terminal is connected with power supply module, wind pressure detector and temperature sensor, and the power supply module provides work electricity for whole system
Source, the model DS18B20 of the temperature sensor；The output terminal of the central controller is connected with frequency converter and pressure fan,
The frequency converter is connected with air-conditioner set, and the air-conditioner set is connected with the pressure fan, and the pressure fan is connected with outlet air
Pipeline, the wind pressure detector and temperature sensor are arranged at the air outlet of the wind pipe, can be improved accessed
Data reliability；Each air outlet of the wind pipe of wind pressure detector detection pressure fan is collected by central controller
Wind pressure situation and temperature sensor in the collected indoor temperature of each air outlet institute and air outlet temperature information, in conjunction with
Nerve network controller and neural network prediction device are trained prediction, quickly obtain prediction result and feed back to central control
Device realizes dynamic regulation, has many advantages, such as that stability is good, fast response time.
The operation principle of the utility model is as follows：
With reference to Fig. 1, Fig. 2, wherein, TOFor the set temperature of air-conditioning, TcFor wind duct temperature；TsFor total temperature difference；P is wind
Road static pressure, the wind duct temperature TO, total temperature difference TsIt is adopted with air duct static pressure p by the wind pressure detector and temperature sensor
Collection obtains；T is that the control of the nerve network controller exports, for controlling controlled device（Temperature, wind pressure etc.）With the god
Through neural network forecast device；TcmFor output temperature；TpThe predicted temperature predicted by the neural network prediction device；It is described defeated
Go out the error amount of temperature and predicted temperature；For the output temperature and set temperature error amount；Residual quantity is exported in order to control,
It is combined for the neural network prediction device、The value of the two and output temperature Tcm, it is trained obtained by prediction；Institute
It states neural network prediction device and nerve network controller and the control finally obtained is exported into residual quantityIt is transferred to the center control
Device, the central controller adjusts the frequency converter according to actual demand, so as to change the refrigerating capacity of the air-conditioner set；And lead to
The rotating speed of the pressure fan is overregulated to control the air output of wind pipe, finally realizes dynamic regulation.
Above embodiment cannot limit the protection domain of the invention, and the personnel of professional skill field are not departing from
In the case of the invention general idea, the impartial modification and variation done still fall within the range that the invention is covered
Within.
Claims (6)
1. a kind of central air-conditioning regulating system based on neural network prediction, including central controller, it is characterised in that in described
Centre controller is internally provided with nerve network controller and neural network prediction device, the input terminal connection of the central controller
There are power supply module, wind pressure detector and temperature sensor, the output terminal of the central controller is connected with frequency converter and pressure fan,
The frequency converter is connected with air-conditioner set, and the air-conditioner set is connected with the pressure fan, and the pressure fan is connected with outlet air
Pipeline, the wind pressure detector and the temperature sensor are arranged on the wind pipe.
2. the central air-conditioning regulating system according to claim 1 based on neural network prediction, it is characterised in that the wind
Pressure detector and temperature sensor are arranged at the air outlet of the wind pipe.
3. the central air-conditioning regulating system according to claim 1 based on neural network prediction, it is characterised in that the god
It is BP neural network controller through network controller.
4. the central air-conditioning regulating system according to claim 1 based on neural network prediction, it is characterised in that the god
It is Elman neural network prediction devices through neural network forecast device.
5. the central air-conditioning regulating system according to claim 1 based on neural network prediction, it is characterised in that the temperature
Spend the model DS18B20 of sensor.
6. the central air-conditioning regulating system according to claim 1 based on neural network prediction, it is characterised in that in described
It is S3C2416 to entreat the chip signal in controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721598700.0U CN207555899U (en) | 2017-11-27 | 2017-11-27 | A kind of central air-conditioning regulating system based on neural network prediction |
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| CN201721598700.0U CN207555899U (en) | 2017-11-27 | 2017-11-27 | A kind of central air-conditioning regulating system based on neural network prediction |
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| CN207555899U true CN207555899U (en) | 2018-06-29 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107655160A (en) * | 2017-11-27 | 2018-02-02 | 中山路得斯空调有限公司 | A kind of central air-conditioning regulating system based on neural network prediction |
| CN113217448A (en) * | 2021-06-01 | 2021-08-06 | 广东鑫钻节能科技股份有限公司 | Energy-saving control system for air blower |
-
2017
- 2017-11-27 CN CN201721598700.0U patent/CN207555899U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107655160A (en) * | 2017-11-27 | 2018-02-02 | 中山路得斯空调有限公司 | A kind of central air-conditioning regulating system based on neural network prediction |
| CN113217448A (en) * | 2021-06-01 | 2021-08-06 | 广东鑫钻节能科技股份有限公司 | Energy-saving control system for air blower |
| CN113217448B (en) * | 2021-06-01 | 2021-12-24 | 广东鑫钻节能科技股份有限公司 | Energy-saving control system for air blower |
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Address after: 528400 4th floor, building 1, Daling Industrial Zone, Torch Development Zone, Zhongshan City, Guangdong Province Patentee after: Guangdong ludes Environmental Technology Co.,Ltd. Address before: 528400 4th floor, building 1, Daling Industrial Zone, Torch Development Zone, Zhongshan City, Guangdong Province Patentee before: ZHONGSHAN LOTUSAIR Co.,Ltd. |
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