CN106369739A - Air conditioner control method, air conditioner controller and air conditioner system - Google Patents
Air conditioner control method, air conditioner controller and air conditioner system Download PDFInfo
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Abstract
The embodiment of the invention provides an air conditioner control method, an air conditioner controller and an air conditioner system and relates to the technical field of air conditioners. The operating state of the air conditioner is not needed to be controlled by a user, so that intelligence of air conditioner control is realized. The air conditioner controller comprises a detection unit, a processing unit and a control unit, wherein the detection unit is used for collecting an environmental parameter and a user characteristic parameter; the processing unit is used for calculating an air conditioner operating parameter according to the environmental parameter and the user characteristic parameter collected by the detection unit and a neural network model trained by a neural network; and the control unit is used for outputting the air conditioner operating parameter calculated by the processing unit to the air conditioner and controlling the air conditioner to operate by means of the air conditioner operating parameter. The embodiment of the invention is used for air conditioner control.
Description
Technical field
Embodiments of the invention are related to air-conditioning technical field, more particularly, to a kind of air conditioning control method and air-conditioner controller and
Air conditioning system.
Background technology
At present, the air conditioner intelligent epoch already arrive, and user can be controlled using app control, Voice command, limb action
Have started to use Deng intelligentized control method pattern, these Intelligentized control methods are mainly user from traditional remote control control
Free.For example, can pass through after work in summer user on the app with regard to airconditioning control on mobile phone terminal in family
The operational factor of air-conditioning carry out remote network control, realize the preheating to home environment, pre-cooling and humidity adjustment air net
Change etc., or pass through at home to gather the control to air conditioner operation parameters of the sound or limb action realization of user；But it is above-mentioned
In control process, remain and need user to be actively engaged in the operational factor setting to air-conditioning, and user can not accurately judge sky
Whether the operational factor adjusted is currently optimal, be still based in prior art user judge the control of air-conditioning is made
Decision-making, does not therefore enable real intellectuality.
Content of the invention
Embodiments of the invention provide a kind of air conditioning control method and air-conditioner controller and air conditioning system, and being capable of need not
User is controlled the intellectuality it is achieved that airconditioning control to the running status of air-conditioning.
In a first aspect, a kind of air-conditioner controller, comprising:
Detector unit, for gathering ambient parameter and user characteristicses parameter；
Processing unit, for gather according to described detector unit ambient parameter, user characteristicses parameter and by nerve net
The neural network model of network training calculates air conditioner operation parameters；
Control unit, for the air conditioner operation parameters calculating to the described processing unit of air-conditioning output, is transported by described air-conditioning
Line parameter controls the operation of air-conditioning.
Second aspect, a kind of air conditioning control method of offer, comprising:
Collection ambient parameter and user characteristicses parameter；
According to described ambient parameter, user characteristicses parameter and the neural network model calculating air-conditioning by neural metwork training
Operational factor；
Export described air conditioner operation parameters to air-conditioning, control the operation of air-conditioning by described air conditioner operation parameters.
In such scheme, air-conditioner controller includes detector unit, processing unit and control unit, and wherein detector unit can
Collection ambient parameter and user characteristicses parameter；Processing unit can be according to the ambient parameter of detector unit collection, user characteristicses ginseng
Number and the neural network model calculating air conditioner operation parameters by neural metwork training；Control unit can be described to air-conditioning output
The air conditioner operation parameters that processing unit calculates, control the operation of air-conditioning by described air conditioner operation parameters；It is achieved thereby that air-conditioning
The ambient parameter of the current operation of air conditioner of controller direct basis and user characteristicses parameter realize air conditioner operation parameters are adjusted
Whole, and by air conditioner operation parameters control air-conditioning operation, and without user, the running status of air-conditioning is controlled it is achieved that
The intellectuality of airconditioning control.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable
Other accompanying drawings are obtained according to these accompanying drawings.
A kind of structural representation of air conditioning system that Fig. 1 provides for embodiments of the invention；
A kind of structural representation of air-conditioner controller that Fig. 2 provides for embodiments of the invention；
A kind of structural representation of air-conditioner controller that Fig. 3 provides for another embodiment of the present invention；
A kind of schematic flow sheet of air conditioning control method that Fig. 4 provides for embodiments of the invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
The system architecture of embodiment of the present invention description and business scenario are in order to more clearly the explanation present invention is implemented
The technical scheme of example, does not constitute the restriction for technical scheme provided in an embodiment of the present invention, those of ordinary skill in the art
Understand, the appearance of the differentiation with system architecture and new business scene, technical scheme provided in an embodiment of the present invention is for similar
Technical problem, equally applicable.
The ultimate principle of the technical scheme that embodiments of the invention provide is: air-conditioner controller can be according to the environment of collection
Parameter, user characteristicses parameter and the neural network model calculating air conditioner operation parameters by neural metwork training；And it is defeated to air-conditioning
Go out air conditioner operation parameters, control the operation of air-conditioning by air conditioner operation parameters.Compared to prior art, user can be completely free of
Remote control or the operation of client, are controlled the intelligence it is achieved that airconditioning control without user to the running status of air-conditioning
Change.
The specific scheme present invention being provided with reference to following examples illustrates:
With reference to shown in Fig. 1, embodiments of the invention are applied to following air conditioning system 10, including, air-conditioner controller 11 and sky
Adjust 12, additionally can include cloud server 13.
With reference to shown in Fig. 2, there is provided air-conditioner controller 11 as shown in Figure 1, comprising:
Detector unit 111, for gathering ambient parameter and user characteristicses parameter；
Processing unit 112, for gather according to described detector unit 111 ambient parameter, user characteristicses parameter and by
The neural network model of neural metwork training calculates air conditioner operation parameters；
Control unit 113, for the air conditioner operation parameters calculating to the described processing unit 112 of air-conditioning output, by described
Air conditioner operation parameters control the operation of air-conditioning.
Wherein, detector unit 111 include at least one for the sensor of user characteristicses parameter acquisition and at least one
Sensor for ambient parameter collection.Wherein be used for user characteristicses parameter acquisition sensor can according to infrared, image, regard
The sensors such as feel, heat feel are realized；Sensor for ambient parameter collection can be according to analog sensed such as temperature, humidity, wind speed
Device is realized.
In such scheme, air-conditioner controller includes detector unit, processing unit and control unit, and wherein detector unit can
Collection ambient parameter and user characteristicses parameter；Processing unit can be according to the ambient parameter of detector unit collection, user characteristicses ginseng
Number and the neural network model calculating air conditioner operation parameters by neural metwork training；Control unit can be described to air-conditioning output
The air conditioner operation parameters that processing unit calculates, control the operation of air-conditioning by described air conditioner operation parameters；It is achieved thereby that air-conditioning
The ambient parameter of the current operation of air conditioner of controller direct basis and user characteristicses parameter realize air conditioner operation parameters are adjusted
Whole, and by air conditioner operation parameters control air-conditioning operation, and without user, the running status of air-conditioning is controlled it is achieved that
The intellectuality of airconditioning control.
Additionally, being to realize wide applicability for different users and environment, neural network model can be same as all previous
The parameter training of collection obtains, and specific processing unit 112 is additionally operable to, and goes through according to neutral net and described detector unit 111
The ambient parameter of secondary collection and neural network model described in user characteristicses parameter training.
Wherein different user is different for the demand under varying environment, needs air-conditioning to maintain current ambient conditions, then empty
Adjusting needs to be adjusted to certain running status, is embodied in different air conditioner operation parameters.And neural network learning is this
Corresponding air conditioner operation parameters just can be exported in the case of known users, environment after corresponding relation.
Described ambient parameter at least includes indoor and outdoor temperature, humidity, wind speed, wind direction；Described user characteristicses parameter is at least
Include the following: age, sex, figure, health index, kinestate, specific group；Described air conditioner operation parameters at least include as
Lower quantization parameter: compressor frequency, humidification moisture removal, rotation speed of the fan, wind deflector direction.Above-mentioned ambient parameter, user characteristicses
Parameter, air conditioner operation parameters can refine further, not only as described above, every with environment, user's physiological feature and air-conditioning
Relevant all should being included of operational factor.Additionally, can be led to by the different environment of laboratory simulation in neural network model
Cross neural network learning, for testing the environmental demand of different user, user covers all ages and classes, sex, figure, health, motion
The colony of situation and specific group, according to accounting, the number of users participating in test ensures that the number of groups possessing certain feature is more than
1.Additionally, the sample data for detector unit collection (such as removes substantially inaccurate or also noisy sample through preliminary treatment
Notebook data) after be trained by neutral net, neutral net include at least the following nerve with fit non-linear system capability
Network: feed-forward neutral net bp, radial ba-sis function network rbf network, it is certainly not limited to above two, other have plan
Close higher-dimension, the model of Complex Nonlinear System ability.The neural network model of training is converted into software program and is loaded into sky
Adjust in controller.
Additionally, with reference to shown in Fig. 3, air-conditioner controller also includes communication unit 114, connect cloud server, for by institute
State neural network model to send to described cloud server, described cloud server is used for storing described neural network model, with
Just user is at least operated to described neural network model as follows in described cloud server: modification, upgrading or download.As figure
Shown in 1 when including cloud server, online neural network model can be modified by cloud server and download,
Or neural network model is carried out upgrade to next group air-conditioner dispatching from the factory and prepared the neural network model of redaction.
Based on above-mentioned air conditioning system, provide a kind of air conditioning control method, with reference to shown in Fig. 4, comprise the steps:
101st, collection ambient parameter and user characteristicses parameter.
Described ambient parameter at least includes indoor and outdoor temperature, humidity, wind speed, wind direction；Described user characteristicses parameter is at least
Include the following: age, sex, figure, health index, kinestate, specific group.
102nd, according to described ambient parameter, user characteristicses parameter and the neural network model calculating by neural metwork training
Air conditioner operation parameters.
Wherein needed to obtain neural network model first before step 102, the nerve net that embodiments of the invention provide
The acquisition methods of network model are: according to ambient parameter and the user characteristicses ginseng of neutral net and all previous collection of described detector unit
Number trains described neural network model.Wherein, neutral net includes at least the following nerve with fit non-linear system capability
Network: feed-forward neutral net, radial basis function neural network.；Described air conditioner operation parameters at least include quantifying as follows to join
Number: compressor frequency, humidification moisture removal, rotation speed of the fan, wind deflector direction.
103rd, export described air conditioner operation parameters to air-conditioning, control the operation of air-conditioning by described air conditioner operation parameters.
In such scheme, air-conditioner controller includes detector unit, processing unit and control unit, and wherein detector unit can
Collection ambient parameter and user characteristicses parameter；Processing unit can be according to the ambient parameter of detector unit collection, user characteristicses ginseng
Number and the neural network model calculating air conditioner operation parameters by neural metwork training；Control unit can be described to air-conditioning output
The air conditioner operation parameters that processing unit calculates, control the operation of air-conditioning by described air conditioner operation parameters；It is achieved thereby that air-conditioning
The ambient parameter of the current operation of air conditioner of controller direct basis and user characteristicses parameter realize air conditioner operation parameters are adjusted
Whole, and by air conditioner operation parameters control air-conditioning operation, and without user, the running status of air-conditioning is controlled it is achieved that
The intellectuality of airconditioning control.
Additionally, further comprising, step 104, neural network model is sent to described cloud server, described high in the clouds
Server is used for storing described neural network model, so that user is carried out to described neural network model in described cloud server
At least operate as follows: modification, upgrading or download.As shown in Figure 1 when including cloud server, can be existed by cloud server
Line is modified to neural network model and is downloaded, or neural network model is carried out upgrade to next group air-conditioner and dispatch from the factory
Prepare the neural network model of redaction.
It should be noted that control unit 113 and communication unit 114 can be real using following form in such scheme
Existing: transceiver, transmitting-receiving port, transmission circuit etc., processing unit 112 can be for the processor individually set up it is also possible to integrated
Some processor of control node is realized, in addition it is also possible to be stored in air-conditioner controller in the form of program code
In memorizer, called and executed by some processor of air-conditioner controller the function of above processing unit 111.Described here
Processor can be a central processing unit (central processing unit, cpu), or specific integrated circuit
(application specific integrated circuit, asic), or be arranged to implement the embodiment of the present invention
One or more integrated circuits.
The above, the only specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art the invention discloses technical scope
Interior, change or replacement can be readily occurred in, all should be included within the scope of the present invention.Therefore, the present invention
Protection domain should be defined by described scope of the claims.
Claims (12)
1. a kind of air-conditioner controller is it is characterised in that include:
Detector unit, for gathering ambient parameter and user characteristicses parameter；
Processing unit, for gather according to described detector unit ambient parameter, user characteristicses parameter and instructed by neutral net
The neural network model practiced calculates air conditioner operation parameters；
Control unit, for the air conditioner operation parameters calculating to the described processing unit of air-conditioning output, is joined by described operation of air conditioner
The operation of numerical control air-conditioning.
2. air-conditioner controller according to claim 1 is it is characterised in that described processing unit is additionally operable to, according to nerve net
The ambient parameter of network and all previous collection of described detector unit and neural network model described in user characteristicses parameter training.
3. air-conditioner controller according to claim 1 is it is characterised in that also include, communication unit, connects cloud service
Device, for sending described neural network model to described cloud server, described cloud server is used for storing described nerve
Network model, so that user is at least operated to described neural network model as follows in described cloud server: modification, upgrading
Or download.
4. air-conditioner controller according to claim 1 is it is characterised in that described neutral net has plan including at least following
Close the neutral net of nonlinear system ability: feed-forward neutral net, radial basis function neural network.
5. air-conditioner controller according to claim 1 is it is characterised in that described ambient parameter at least includes indoor and outdoor temperature
Degree, humidity, wind speed, wind direction；Described user characteristicses parameter at least includes the following: age, sex, figure, health index, motion
State, specific group；Described air conditioner operation parameters at least include following quantization parameter: compressor frequency, humidification moisture removal, fan
Rotating speed, wind deflector direction.
6. air-conditioner controller according to claim 1 is it is characterised in that described detector unit includes at least one is used for
The sensor of family characteristic parameter collection and the sensor that at least one gathers for ambient parameter.
7. a kind of air conditioning control method is it is characterised in that include:
Collection ambient parameter and user characteristicses parameter；
According to described ambient parameter, user characteristicses parameter and the neural network model calculating operation of air conditioner by neural metwork training
Parameter；
Export described air conditioner operation parameters to air-conditioning, control the operation of air-conditioning by described air conditioner operation parameters.
8. air conditioning control method according to claim 7 is it is characterised in that methods described also includes: according to neutral net
And the ambient parameter of all previous collection of described detector unit and neural network model described in user characteristicses parameter training.
9. air conditioning control method according to claim 7 is it is characterised in that methods described also includes, by described nerve net
Network model sends to described cloud server, and described cloud server is used for storing described neural network model, so that user exists
Described cloud server is at least operated as follows to described neural network model: modification, upgrading or download.
10. air conditioning control method according to claim 7 is it is characterised in that described neutral net includes at least following tool
There is the neutral net of fit non-linear system capability: feed-forward neutral net, radial basis function neural network.
11. air conditioning control methods according to claim 7 are it is characterised in that described ambient parameter at least includes indoor and outdoor
Temperature, humidity, wind speed, wind direction；Described user characteristicses parameter at least includes the following: age, sex, figure, health index, fortune
Dynamic state, specific group；Described air conditioner operation parameters at least include following quantization parameter: compressor frequency, humidification moisture removal, wind
Fan rotating speed, wind deflector direction.
A kind of 12. air conditioning systems are it is characterised in that include air-conditioning and the airconditioning control as described in any one of claim 1-6
Device.
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| CN109297140A (en) * | 2018-10-15 | 2019-02-01 | 宁波溪棠信息科技有限公司 | A kind of air conditioning control method based on artificial intelligence |
| WO2020098405A1 (en) * | 2018-11-15 | 2020-05-22 | 广东美的制冷设备有限公司 | Control method for air conditioner, air conditioner and storage medium |
| CN109631255A (en) * | 2018-12-10 | 2019-04-16 | 珠海格力电器股份有限公司 | Air conditioner control method and device, storage medium and air conditioner |
| CN109899937A (en) * | 2019-03-12 | 2019-06-18 | 王馨仪 | Comfort level and the foreseeable air conditioning system of section and method based on LSTM model |
| CN110094837A (en) * | 2019-04-30 | 2019-08-06 | 珠海格力电器股份有限公司 | Intelligent control device and method for air conditioner |
| CN112443943A (en) * | 2019-08-30 | 2021-03-05 | 珠海格力电器股份有限公司 | Model training method based on small amount of labeled data, control system and air conditioner |
| CN110925936A (en) * | 2019-10-24 | 2020-03-27 | 珠海格力电器股份有限公司 | Air conditioner control method and device, computer equipment and storage medium |
| CN110805995A (en) * | 2019-11-27 | 2020-02-18 | 广东美的制冷设备有限公司 | Control method, device, controller and storage medium for air conditioning equipment |
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| CN111750491B (en) * | 2020-05-14 | 2022-01-18 | 海信（山东）空调有限公司 | Air conditioner and air conditioner control method based on neural network |
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Address after: 266736 Hisense Road 1, South Village Town, Pingdu City, Qingdao, Shandong Applicant after: Hisense (Shandong) Air-conditioning Co., Ltd. Address before: 266100 Zhuzhou Road, Laoshan District, Qingdao, Shandong Province, No. 151 Applicant before: Hisense (Shandong) Air-conditioning Co., Ltd. |
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| CB02 | Change of applicant information | ||
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Address after: 266100 Zhuzhou Road, Laoshan District, Qingdao, Shandong Province, No. 151 Applicant after: Hisense (Shandong) Air-conditioning Co., Ltd. Address before: 266736 Hisense Road 1, South Village Town, Pingdu City, Qingdao, Shandong Applicant before: Hisense (Shandong) Air-conditioning Co., Ltd. |
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| RJ01 | Rejection of invention patent application after publication | ||
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Application publication date: 20170201 |