CN109140665A - Control the method, apparatus and air-conditioning device of air-conditioning - Google Patents
Control the method, apparatus and air-conditioning device of air-conditioning Download PDFInfo
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- CN109140665A CN109140665A CN201811014406.XA CN201811014406A CN109140665A CN 109140665 A CN109140665 A CN 109140665A CN 201811014406 A CN201811014406 A CN 201811014406A CN 109140665 A CN109140665 A CN 109140665A
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- air
- information
- conditioning device
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- preset model
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
Abstract
The invention discloses a kind of method, apparatus and air-conditioning device for controlling air-conditioning.Wherein, this method comprises: obtaining the object information of at least one object in predeterminable area；It is handled using object information of the preset model at least one object, obtain the operation data of air-conditioning device corresponding at least one object, wherein, preset model is obtained using multi-group data by neural network learning training, and every group of data in multi-group data include: object information and the corresponding operation data of object information；Control air-conditioning device is adjusted the environmental parameter of the subregion where the object according to the corresponding operation data of at least one object.The present invention solves the technical issues of same air-conditioning can not be adjusted for the demand of different objects simultaneously.
Description
Technical field
The present invention relates to airconditioning control fields, fill in particular to a kind of method, apparatus for controlling air-conditioning and air-conditioning
It sets.
Background technique
With the continuous improvement of living standards, requirement of the people to quality of the life is also higher and higher.In the modern life, the mankind
The mosts of the time such as work, amusement, life be in interior, therefore, demand of the people to Indoor Environmental Quality increases accordingly.It is right
Comfortably, energy conservation, the pursuit of healthy indoor environment are also higher and higher.It is empty meanwhile with the raising that people require indoor environment
Adjusting system is also among continuously improving, and current air-conditioning system is from initial stage simple cooling and warming to comfortable, energy saving direction
Development.
Currently, user can be using intelligentized control methods scheme controls such as client control, voice control, limb action controls
Air-conditioning, above-mentioned Intelligentized control method free user from traditional remote control control.For example, user is after work
Remote network control can be carried out by operating parameter of the control air-conditioning software on mobile phone terminal to the air-conditioning in family, realized to family
Preheating, pre-cooling and humidity adjustment air cleaning of front yard environment etc., alternatively, dynamic by the sound or limbs of acquisition user at home
Realize the control to air conditioner operation parameters.
However, in above-mentioned control process, it is still necessary to which user is configured to the operating parameter of air-conditioning or air-conditioning can only
Cooling and warming is carried out according to pre-set wind speed, swing flap angle, it can not be effectively according to all ages and classes, pair of different conditions
Cooling and warming as carrying out specific region.
It can not yet be proposed at present simultaneously aiming at the problem that demand of different objects is adjusted above-mentioned same air-conditioning
Effective solution scheme.
Summary of the invention
The embodiment of the invention provides a kind of method, apparatus and air-conditioning device for controlling air-conditioning, at least to solve same sky
Adjust the technical issues of can not being adjusted simultaneously for the demand of different objects.
According to an aspect of an embodiment of the present invention, a kind of method for controlling air-conditioning is provided, comprising: obtain predeterminable area
The object information of at least one interior object；It is handled, is obtained using object information of the preset model at least one object
The operation data of air-conditioning device corresponding at least one object, wherein preset model is to pass through nerve net using multi-group data
Network learning training obtains, and every group of data in multi-group data include: object information and the corresponding operation number of object information
According to；Control air-conditioning device according to the corresponding operation data of at least one object to the environmental parameter of the subregion where the object into
Row is adjusted.
According to another aspect of an embodiment of the present invention, a kind of device for controlling air-conditioning is additionally provided, comprising: module is obtained,
For obtaining the object information of at least one object in predeterminable area；Processing module, for using preset model at least one
The object information of a object is handled, and the operation data of air-conditioning device corresponding at least one object is obtained, wherein default
Model is obtained using multi-group data by neural network learning training, and every group of data in multi-group data include: object
Information and the corresponding operation data of object information；Control module, it is corresponding according at least one object for controlling air-conditioning device
Operation data the environmental parameter of the subregion where the object is adjusted.
According to another aspect of an embodiment of the present invention, a kind of air-conditioning device is additionally provided, comprising: sensor, for acquiring
Obtain the object information of at least one object in predeterminable area；Controller, for using preset model at least one object
Object information handled, obtain the operation data of air-conditioning device corresponding at least one object, and control air-conditioning device
The environmental parameter of the subregion where the object is adjusted according at least one object corresponding operation data, wherein pre-
If model is obtained using multi-group data by neural network learning training, every group of data in multi-group data include: pair
Image information and the corresponding operation data of object information.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which includes storage
Program, wherein the method that program executes control air-conditioning.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is used to run program,
In, the method for control air-conditioning is executed when program is run.
In embodiments of the present invention, using the operation data for determining air-conditioning device corresponding to object based on neural network
Mode, after the object information for obtaining at least one object in predeterminable area, air-conditioning is using preset model at least one
The object information of object is handled, and the operation data of air-conditioning device corresponding at least one object is obtained, and finally control is empty
Adjust device that the environmental parameter of the subregion where the object is adjusted according at least one object corresponding operation data.Its
In, preset model is obtained using multi-group data by neural network learning training, and every group of data in multi-group data are wrapped
It includes: object information and the corresponding operation data of object information.
In above process, different object informations corresponds to different operation datas, therefore, exists in predeterminable area more
In the case where a object, can be obtained the operation data of multiple air-conditioning devices, so air-conditioning device for different objects according to this
Object corresponding operation data operation, to reach the refrigeration or heating for carrying out specific region according to the demand of different objects
Purpose, and then realize the technical effect for improving users'comfort.
It can be seen that scheme provided herein can not be carried out for the demand of different objects simultaneously with same air-conditioning
The technical issues of adjustment.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of method flow diagram for controlling air-conditioning according to an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of optional preset model according to an embodiment of the present invention；
Fig. 3 is a kind of schematic diagram of optional neural network according to an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram of optional convolutional neural networks according to an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of optional wind deflector angle according to an embodiment of the present invention；
Fig. 6 is a kind of flow chart of optional wind deflector angle according to an embodiment of the present invention；And
Fig. 7 is a kind of apparatus structure schematic diagram for controlling air-conditioning according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of the method for controlling air-conditioning is provided, it should be noted that in attached drawing
The step of process illustrates can execute in a computer system such as a set of computer executable instructions, although also,
Logical order is shown in flow chart, but in some cases, it can be to be different from shown by sequence execution herein or retouch
The step of stating.
Fig. 1 is the method flow diagram of control air-conditioning according to an embodiment of the present invention, as shown in Figure 1, this method includes as follows
Step:
Step S102 obtains the object information of at least one object in predeterminable area.
It should be noted that predeterminable area includes multiple subregions, it is one or more right to may exist in each subregion
As object also may not be present.In addition, the object information of at least one object is including at least one of following: at least one object
The physical condition information of quantity, the body temperature of the position of at least one object and at least one object, at least one object,
In, whether the physical condition information of at least one object may include: the age bracket of at least one object, is pregnant, health
Data (such as, if just sick, if having legacy disease etc.).
Optionally, air-conditioning device has sensor, which can include but is not limited to common imaging sensor, red
Outer imaging sensor.Wherein, the sensor of air-conditioning device can acquire the object information of the object in predeterminable area.For example, passing
In the case that sensor is common imaging sensor, sensor can acquire the image information in predeterminable area, in air-conditioning device
Controller further carries out identifying processing to image information, to obtain the object information of at least one object.
Step S104 is handled using object information of the preset model at least one object, obtain and at least one
The operation data of the corresponding air-conditioning device of object, wherein preset model is to pass through neural network learning training using multi-group data
It obtains, every group of data in multi-group data include: object information and the corresponding operation data of object information.
Optionally, in step S104, the relevant algorithm of neural network can be used to be trained preset model, wherein
Algorithm relevant to neural network can include but is not limited to feedback neural network algorithm, proposed algorithm etc..In addition, nerve net
Network structure may include full Connection Neural Network, convolutional neural networks, Recognition with Recurrent Neural Network it is one or more.
It should be noted that by the available operation data corresponding at least one object of preset model, i.e., it is different
Object may the operation data of object be different, and operation data corresponding with object may make the comfort level of the object most
It is good.It can be seen that the operation data for the air-conditioning device for making each object reach optimum reelability quality can be obtained by step S104.
Step S106 controls air-conditioning device according to the corresponding operation data of at least one object to the sub-district where the object
The environmental parameter in domain is adjusted.
It should be noted that the operation data of air-conditioning device is including at least one of following: the running frequency of compressor, wind-guiding
Plate angle degree, air quantity grade, rotation speed of fan etc..
Optionally, after obtaining the corresponding operation data of different objects, the controller in air-conditioning device can be according to difference
The different physical conditions of object, present position difference, control air-conditioning device exports different air quantity, wind to different subregions
The environmental parameters such as speed and temperature, to realize the mesh of the refrigeration or heating that carry out specific region according to the demand of different objects
's.
It based on scheme defined by above-mentioned steps S102 to step S106, can know, be determined using based on neural network
The mode of the operation data of air-conditioning device corresponding to object, in the object information for obtaining at least one object in predeterminable area
Later, air-conditioning is handled using object information of the preset model at least one object, is obtained corresponding at least one object
Air-conditioning device operation data, finally control air-conditioning device according to the corresponding operation data of at least one object to the object institute
The environmental parameter of subregion be adjusted.Wherein, preset model is to pass through neural network learning training using multi-group data
It obtains, every group of data in multi-group data include: object information and the corresponding operation data of object information.
It is easily noted that, different object informations corresponds to different operation datas, therefore, exists in predeterminable area
In the case where multiple objects, can be obtained the operation data of multiple air-conditioning devices, so air-conditioning device for different objects according to
The corresponding operation data operation of the object, to reach the refrigeration or heating for carrying out specific region according to the demand of different objects
Purpose, and then realize improve users'comfort technical effect.
It can be seen that scheme provided herein can not be carried out for the demand of different objects simultaneously with same air-conditioning
The technical issues of adjustment.
It should be noted that being handled to obtain operation number using object information of the preset model at least one object
According to before, air-conditioning device is firstly the need of the object information for obtaining at least one object.Optionally, air-conditioning device can be based on following three
The object information of any one or more in kind of mode to obtain at least one object.
Mode one: obtaining the object information of at least one object by the way of image analysis, and detailed process may include
Following steps:
Step S10, the graphic images based on thermal imaging sensor acquisition predeterminable area；
Step S12, analyzes graphic images, determines that the quantity of at least one object predeterminable area Nei, institute are in place
It sets and body temperature；
Step S14, compare at least one object body temperature and default body temperature grade, obtain comparison result；
Step S16, based on the image information in camera acquisition predeterminable area；
Step S18 determines the physical condition information of at least one object according to image information and comparison result.
Specifically, thermal imaging sensor can acquire the image in predeterminable area, graphic images are obtained, wherein thermal imaging
The distribution situation of heat in characterization image predeterminable area, optionally, the deeper part of color in graphic images shows this
Heat is higher in the corresponding region in part, that is, shows that object is more in the corresponding region in the part.In addition, in predeterminable area memory
Object it is less when, the shade in graphic images can also characterize the body temperature of each object.As shown in the above, lead to
Cross acquisition predeterminable area graphic images can determine the quantity of existing object in predeterminable area, the position distribution of object with
And the information such as body temperature of object.After obtaining the body temperature of object, controller is by the body temperature of each object and default body temperature grade
It is compared, determines the body temperature grade where the body temperature of each object.Optionally, presetting body temperature grade can be divided into: normal level
(be not higher than 37.5 degrees Celsius), low-heat grade (37.3-38 degrees Celsius), in isocratic hot grade (38.1-39 degrees Celsius), high fever etc.
Grade (39.1-41 degrees Celsius), ultra high grade (41 degrees Celsius or more).Body temperature grade where body temperature according to each object can be first
Walk and determine whether the object sick, then in conjunction with camera image information in collected predeterminable area, for example, each
The facial image of object, dress of each object etc. further determine that the physical condition information of object.For example, detecting object A
Body temperature grade be low-heat grade, and by camera the collected object image determine object A wear clothing want
More than other people, also, the face of object A is more wan and sallow than other objects.Controller can determine that object A is in sick state as a result,.
Mode two: obtaining the object information of at least one object in such a way that image analysis is combined with user's input,
Detailed process may include steps of:
Step S20, the graphic images based on thermal imaging sensor acquisition predeterminable area；
Step S22, analyzes graphic images, determines that the quantity of at least one object predeterminable area Nei, institute are in place
It sets and body temperature；
Step S22 obtains the physical condition information of at least one object input.
It should be noted that obtaining at least one object in the scheme defined by above-mentioned steps S20 to step S22
The method of quantity, position and body temperature is identical as method defined by step S10 to step S12, and it is superfluous that details are not described herein
It states.Wherein, with mode one the difference is that, in mode two, the physical condition information of at least one object is led to by object
Input is crossed to obtain.
Mode three: the object letter of at least one object is obtained in such a way that image analysis is combined with data base querying
Breath, detailed process may include steps of:
Step S30, the graphic images based on thermal imaging sensor acquisition predeterminable area；
Step S32, analyzes graphic images, determines that the quantity of at least one object predeterminable area Nei, institute are in place
It sets and body temperature；
Step S34 obtains the registration information of at least one object；
Step S36 is inquired from hospital database according to registration information and is obtained the physical condition information of at least one object.
It should be noted that obtaining at least one object in the scheme defined by above-mentioned steps S30 to step S32
The method of quantity, position and body temperature is identical as method defined by step S10 to step S12, and it is superfluous that details are not described herein
It states.
In addition, at least one object can be registered in the application program of control air-conditioning device, at this point, air-conditioning device can
Get the registration information of at least one object, wherein may include but be not limited to the correspondent party of registration object in registration information
Formula, name, head portrait etc..After obtaining registration information, inquiry reaches from the hospital database in cloud believes client with registration
The physical condition information of the corresponding object of manner of breathing, wherein the contact method, name and disease of patient are stored in hospital database
It goes through.
It should be noted that it is right that at least one can be obtained by the combination of any one or more in three of the above mode
The object information of elephant, and then preset model can be used to handle the object information of at least one object for controller.Make
Before being handled with object information of the preset model at least one object, controller firstly the need of building presetting module,
In, the building process of presetting module is as follows:
Step S40 obtains data set, wherein data set includes the information data in space where multiple groups air-conditioning device；
Step S42, pre-processes data set, the data set that obtains that treated；
Step S44, to treated, data set is trained to obtain preset model；
Step S46 stores preset model into model server, wherein model server is for storing preset model.
Specifically, the sensor of air-conditioning device is obtained by acquisition different time sections, the multipacket message data of different spaces
Data set.It after obtaining data set needs that data set is normalized to meet requirement of the neural network to data set
Pretreatment, training sample of the data set as neural network that make that treated are trained preset model.It completes to default
After training, preset model is stored in model server for model.
It should be noted that data set exists in the form of multi dimensional numerical matrix after dataset construction.In addition, mould
Newest preset model is stored in type server.Optionally, newest preset model is only stored in model server, for example,
The first preset model is stored in model server, after being updated to obtain the second preset model to the first preset model,
The second preset model is replaced into the first preset model in model server.
In addition it is also necessary to explanation, model server can be with cloud server, the side of air-conditioning device by wireless communication
Formula obtains the preset model in model server and/or is updated to the preset model in model server.
In addition, after obtaining preset model, controller using preset model to the object information of at least one object into
Row processing, obtains the operation data of air-conditioning device corresponding at least one object, specific method may include steps of:
Step S1040 obtains newest preset model from model server；
Step S1042 is analyzed based on object information of the newest preset model at least one object, is run
Data.
In a kind of optional scheme, the structural schematic diagram of preset model as shown in Figure 2.As shown in Figure 2, preset model
Input be step S102 in object information, including number of objects, the location information of each object, each object body temperature,
Whether age bracket, the object of each object are pregnant, whether health, the target value of object setting and object are for comfort for object
Feedback information.By object information input preset model before, controller first to object information carry out linear process and/or
Nonlinear Processing.Wherein, linear processing methods include but is not limited to normalize linear processing methods, and non-linear processing methods include
But it is not limited to the processing methods such as logarithmic transformation, square root transformation, cubic root transformation.
It should be noted that preset model is obtained based on neural network learning, and the structure packet of neural network algorithm
Include full Connection Neural Network, convolutional neural networks and Recognition with Recurrent Neural Network.Wherein, full Connection Neural Network include input layer,
Hidden layer and output layer, as shown in Figure 3.The number of nodes of input layer is determined by the data inputted, wherein input layer includes number of objects
Amount, whether the location information of each object, the body temperature of each object, the age bracket of each object, object are pregnant, whether object is good for
Health, the target value of object setting and object are for 7 data such as the feedback informations of comfort, then the node of input layer is 7.It is hidden
The number of plies and every layer of number of nodes for hiding layer are determined by the quality of algorithm output result, wherein if result poor fitting, hidden layer
The number of plies and the increase appropriate of every layer of number of nodes；If over-fitting, the number of plies of hidden layer and every layer of number of nodes are appropriate
It reduces.Only one layer of output layer, number of nodes is determined by the type exported, as shown in figure 3, the output of preset model is compressor
The frequency of operation, wind deflector angle, air quantity grade and other etc. 4 outputs, then number of nodes is 4.And there are 4 grades in air quantity grade
In the case where, frequency, the wind deflector angle of compressor operation, in addition 4 grades of air quantity, then preset model has 6 outputs, right at this time
The output layer number of nodes answered is 6.
Optionally, Fig. 4 is the schematic diagram of convolutional neural networks, wherein convolutional neural networks are also classified into three layers, that is, input
Layer, hidden layer, output layer.Wherein, the number of nodes of input layer is determined by the data inputted, for example, by number of objects, each object
Location information, the body temperature of each object, the age bracket of each object, object whether be pregnant, object whether health, object setting
Target value and object for comfort the node of 7 data as input layer such as feedback information, since need will be above-mentioned
Data become Input matrix preset model, therefore the data of input need to be become even number, general to pass through addition input data, example
Such as, the mode of environment temperature, the Input matrix of available 2*4.The Primary layer of hidden layer has convolutional layer, pond layer, and some has
Full articulamentum, according to reality output result consider, convolutional layer and pond layer are that together, there is a convolutional layer, behind will connect
One pond layer generally has multiple convolution, pond layer, behind connect one or two full articulamentum.Output layer only has one layer, section
Points are determined by the type exported.
It should be noted that can reach the operation data of air-conditioning device after preset model is handled, for example, compressor
Running frequency, wind deflector angle, air quantity etc..Wherein, controller wind deflector angle can be by the radiable sector of air-conditioning device institute
Region division then navigates to first piece small at the small fan-shaped region of equivalent as shown in figure 5, the angle of each small sector is 25 degree
Fan-shaped wind deflector angle is 25 degree, and second piece of fan-shaped wind deflector is 50 degree.
In order to improve the comfort level of user, in control air-conditioning device according to the corresponding operation data of at least one object to this
After the environmental parameter of subregion where object is adjusted, controller also can receive at least one object for air-conditioning device
The feedback information for the case where adjusting environmental parameter, and preset model is updated according to feedback information.Specific method may include: to obtain
The feedback information of at least one object；
Step S50 judges whether air-conditioning device is held in the case where feedback information indicates at least one subject comfort difference
Row power-off operation；
Step S52 carries out more preset model according to feedback information in the case where air-conditioning device executes power-off operation
Newly, and by updated preset model it is stored in model server；
Step S54 adjusts operation data according to feedback information in the case where air-conditioning device is not carried out power-off operation
It is whole.
Step S56 is executed in the case where feedback information indicates the good situation of at least one subject comfort and is obtained predeterminable area
The step of object information of at least one interior object.
It should be noted that at least one object can be by modes such as voice, limb actions to air-conditioning device input feedback
Information.
In a kind of optional scheme, controller controls air-conditioning device according to the corresponding operation data of at least one object to this
The environmental parameter of subregion where object is adjusted, and may include steps of:
Step S60 obtains each object in the subregion and the corresponding operation data of each object of predeterminable area；
Step S62, corresponding operation data control air-conditioning device adjusts the subregion where the object according to each object
Environmental parameter, wherein environmental parameter includes at least one of following: temperature, humidity.
It should be noted that air-conditioning device by thermal imaging, camera acquire picture carry out picture recognition technology with
And user oneself input, hospital data the modes such as obtain and obtain the number of objects, each of at least one object in predeterminable area
The location information of object, each personnel body temperature, everyone age bracket, whether be pregnant, whether health and users'comfort
The parameters such as feedback information.Obtain compressor of air conditioner running frequency, wind deflector angle, air quantity grade in real time by neural network
Equal air conditioner operation parameters, thus realize for different crowd, different physical conditions in different positions but be based on the same sky
Under tune, air-conditioning exports optimum temperature and humidity, improves user experience.
In a kind of optional scheme, Fig. 6 shows a kind of method of optional control air-conditioning.It will be appreciated from fig. 6 that control is empty
The process of tune is as follows: specifically, air-conditioning device loads newest pre- from model server after user opens air-conditioning device
If model, while sensor acquisition target information is controlled, and pre-process to collected object information.Due to air-conditioning device
The preset model of initial loading is public model, all scenes is applicable in, but may not be that this scene most has model.
Therefore, it after obtaining preset model, needs to carry out preset model based on the collected information data of current scene institute online
Repetitive learning carries out neural metwork training, establishes using collecting and by pretreated object information as training sample
With the most matched preset model of current scene, operation data is further obtained, and make air-conditioning device according to operation data to right
As the environmental parameter of the subregion at place is adjusted.During the environmental parameter to subregion is adjusted, air-conditioning device is also
It can receive the feedback information of object feedback, and judge whether feedback information indicates that the comfort of object is good.Wherein, in comfort
In good situation, air-conditioning device executes the step of obtaining object information.In the case where comfort is poor, air-conditioning device is detected
Whether power-off operation is executed.In the case where air-conditioning device is not carried out power-off operation, is adjusted and run according to the feedback information of object
Parameter, for example, adjusting revolving speed, the aperture of electric expansion valve etc. of blower in air-conditioning device；Power-off operation is executed in air-conditioning device
In the case where, updated preset model is stored into model server.
Embodiment 2
According to embodiments of the present invention, a kind of Installation practice for controlling air-conditioning is additionally provided, it should be noted that the device
The method of control air-conditioning in executable embodiment 1.Wherein, Fig. 7 is the device knot of control air-conditioning according to an embodiment of the present invention
Structure schematic diagram, as shown in fig. 7, the device includes: to obtain module 701, processing module 703 and control module 705.
Wherein, module 701 is obtained, for obtaining the object information of at least one object in predeterminable area, wherein at least
The object information of one object includes at least one of following: the quantity of at least one object, the position of at least one object and
The physical condition information of the body temperature of at least one object, at least one object；Processing module 703, for using preset model pair
The object information of at least one object is handled, and the operation data of air-conditioning device corresponding at least one object is obtained,
In, preset model is obtained using multi-group data by neural network learning training, and every group of data in multi-group data are wrapped
It includes: object information and the corresponding operation data of object information；Control module 705, for controlling air-conditioning device according at least one
The environmental parameter of the subregion where the object is adjusted in the corresponding operation data of a object.
It should be noted that above-mentioned acquisition module 701, processing module 703 and control module 705 correspond to embodiment 1
In step S102 to step S106, the example and application scenarios that three modules and corresponding step are realized be identical but unlimited
In 1 disclosure of that of above-described embodiment.
In a kind of optional scheme, obtaining module includes: the first acquisition module, the first determining module, comparison module, the
Two acquisition modules and the second determining module.Wherein, the first acquisition module, for acquiring predeterminable area based on thermal imaging sensor
Graphic images；First determining module determines at least one object in predeterminable area for analyzing graphic images
Quantity, position and body temperature；Comparison module, for compare at least one object body temperature and default body temperature grade, obtain
To comparison result；Second acquisition module, for based on the image information in camera acquisition predeterminable area；Second determining module,
For determining the physical condition information of at least one object according to image information and comparison result.
It should be noted that above-mentioned first acquisition module, the first determining module, comparison module, the second acquisition module and
Second determining module corresponds to the step S10 to step S18 in embodiment 1, and five modules are shown with what corresponding step was realized
Example is identical with application scenarios, but is not limited to the above embodiments 1 disclosure of that.
In a kind of optional scheme, obtaining module includes: third acquisition module, third determining module and the first acquisition
Module.Wherein, third acquisition module, for the graphic images based on thermal imaging sensor acquisition predeterminable area；Third determines
Module determines quantity, position and the body of at least one object predeterminable area Nei for analyzing graphic images
Temperature；First obtains module, for obtaining the physical condition information of at least one object input.
It should be noted that above-mentioned third acquisition module, third determining module and first, which obtain module, corresponds to implementation
Step S20 to step S22 in example 1, the example and application scenarios that three modules and corresponding step are realized are identical but unlimited
In 1 disclosure of that of above-described embodiment.
In a kind of optional scheme, obtaining module includes: the 4th acquisition module, the 4th determining module, the second acquisition mould
Block and enquiry module.Wherein, the 4th acquisition module, for the thermograph based on thermal imaging sensor acquisition predeterminable area
Picture；4th determining module determines quantity, the institute of at least one object predeterminable area Nei for analyzing graphic images
In position and body temperature；Second obtains module, for obtaining the registration information of at least one object；Enquiry module is used for basis
Registration information is inquired from hospital database obtains the physical condition information of at least one object.
It should be noted that above-mentioned 4th acquisition module, the 4th determining module, the second acquisition module and enquiry module pair
The example and application scenarios phase that should be realized in the step S30 to step S36 in embodiment 1, four modules with corresponding step
Together, but it is not limited to the above embodiments 1 disclosure of that.
In a kind of optional scheme, the device of air-conditioning is controlled further include: third obtains module, first processing module, instruction
Practice module and memory module.Wherein, third obtains module, for obtaining data set, wherein data set includes multiple groups air-conditioning dress
The information data in space where setting；First processing module, for being pre-processed to data set, the data set that obtains that treated；
Training module, for data set to be trained to obtain preset model to treated；Memory module, for storing preset model extremely
In model server, wherein model server is for storing preset model.
Correspond to it should be noted that above-mentioned third obtains module, first processing module, training module and memory module
Step S40 to step S46 in embodiment 1, four modules are identical as example and application scenarios that corresponding step is realized, but
It is not limited to the above embodiments 1 disclosure of that.
In a kind of optional scheme, processing module includes: the 4th acquisition module and analysis module.Wherein, it the 4th obtains
Modulus block, for obtaining newest preset model from model server；Analysis module, for being based on newest preset model pair
The object information of at least one object is analyzed, and operation data is obtained.
It should be noted that above-mentioned 4th acquisition module and analysis module correspond to the step S1040 in embodiment 1 extremely
Step S1042, two modules are identical as example and application scenarios that corresponding step is realized, but are not limited to the above embodiments 1
Disclosure of that.
In a kind of optional scheme, the device of air-conditioning is controlled further include: the 5th obtains module, judgment module, updates mould
Block and adjustment module.Wherein, the 5th module is obtained, for obtaining the feedback information of at least one object；Judgment module is used for
In the case where feedback information indicates at least one subject comfort difference, judge whether air-conditioning device executes power-off operation；It updates
Module, for being updated according to feedback information to preset model, and will more in the case where air-conditioning device executes power-off operation
Preset model after new is stored in model server；Module is adjusted, for the case where air-conditioning device is not carried out power-off operation
Under, operation data is adjusted according to feedback information.
In a kind of optional scheme, the device of air-conditioning is controlled further include: the 6th obtains module and execution module.Its
In, the 6th obtains module, for obtaining the feedback information of at least one object；Execution module, for feedback information indicate to
In a few good situation of subject comfort, the step for obtaining the object information of at least one object in predeterminable area is executed
Suddenly.
In a kind of optional scheme, control module includes: the 7th acquisition module and adjustment module.Wherein, it the 7th obtains
Modulus block, for obtaining each object in the subregion and the corresponding operation data of each object of predeterminable area；Adjustment module,
The environmental parameter of the subregion where the object is adjusted for corresponding operation data control air-conditioning device according to each object,
In, environmental parameter includes at least one of following: temperature, humidity.
It should be noted that the above-mentioned 7th obtains module and adjustment module corresponding to the step S60 in embodiment 1 to step
Rapid S62, two modules are identical as example and application scenarios that corresponding step is realized, but it is public to be not limited to the above embodiments 1 institute
The content opened.
Embodiment 3
According to embodiments of the present invention, a kind of air-conditioning device embodiment is additionally provided, it should be noted that the air-conditioning device can
The method for executing the control air-conditioning in embodiment 1.Wherein, which includes: sensor and controller.
Wherein, sensor, for acquiring the object information for obtaining at least one object in predeterminable area；Controller is used
It is handled in using object information of the preset model at least one object, obtains air-conditioning dress corresponding at least one object
The operation data set, and air-conditioning device is controlled according to the corresponding operation data of at least one object to the subregion where the object
Environmental parameter be adjusted, wherein preset model using multi-group data by neural network learning training obtain, multiple groups
Every group of data in data include: object information and the corresponding operation data of object information.
From the foregoing, it will be observed that by the way of the operation data for determining air-conditioning device corresponding to object based on neural network,
After the object information for obtaining at least one object in predeterminable area, air-conditioning is using preset model to pair of at least one object
Image information is handled, and the operation data of air-conditioning device corresponding at least one object is obtained, and is finally controlled air-conditioning device and is pressed
The environmental parameter of the subregion where the object is adjusted according at least one object corresponding operation data.Wherein, it presets
Model is obtained using multi-group data by neural network learning training, and every group of data in multi-group data include: object
Information and the corresponding operation data of object information.
It is easily noted that, different object informations corresponds to different operation datas, therefore, exists in predeterminable area
In the case where multiple objects, can be obtained the operation data of multiple air-conditioning devices, so air-conditioning device for different objects according to
The corresponding operation data operation of the object, to reach the refrigeration or heating for carrying out specific region according to the demand of different objects
Purpose, and then realize improve users'comfort technical effect.
It can be seen that scheme provided herein can not be carried out for the demand of different objects simultaneously with same air-conditioning
The technical issues of adjustment.
It should be noted that the object information of at least one object is including at least one of following: the number of at least one object
The physical condition information of amount, the body temperature of the position of at least one object and at least one object, at least one object.
In a kind of optional scheme, thermal imaging sensor acquire predeterminable area graphic images, controller to heat at
As image is analyzed, quantity, position and the body temperature of at least one object predeterminable area Nei are determined, and compare at least one
The body temperature of a object and default body temperature grade, obtain comparison result.Then, the image information in camera acquisition predeterminable area,
Controller determines the physical condition information of at least one object according to image information and comparison result.
In another optional scheme, thermal imaging sensor acquires the graphic images of predeterminable area, and controller is to warm
Image is analyzed, and determines quantity, position and the body temperature of at least one object predeterminable area Nei, meanwhile, control
Device obtains the physical condition information of at least one object input.
There is also a kind of optional scheme, thermal imaging sensor acquires the graphic images of predeterminable area, and controller is to warm
Image is analyzed, and determines quantity, position and the body temperature of at least one object predeterminable area Nei.Controller obtains
The registration information of at least one object, and inquired from hospital database according to registration information and obtain the body of at least one object
Status information.
Optionally, handled using object information of the preset model at least one object, obtain and at least one
Before the operation data of the corresponding air-conditioning device of object, controller obtains data set, and pre-processes to data set, obtains everywhere
Data set after reason, then to treated, data set is trained to obtain preset model, finally stores preset model to model
In server, wherein model server includes the information in space where multiple groups air-conditioning device for storing preset model, data set
Data.
In a kind of optional scheme, controller obtains newest preset model from model server, and based on newest
Preset model the object information of at least one object is analyzed, obtain operation data.
Wherein, air-conditioning device is being controlled according to the corresponding operation data of at least one object to the subregion where the object
Environmental parameter be adjusted after, controller obtains the feedback information of at least one object.At least one is indicated in feedback information
In the case where a subject comfort difference, judge whether air-conditioning device executes power-off operation；Power-off operation is executed in air-conditioning device
In the case of, preset model is updated according to feedback information, and updated preset model is stored in model server；
In the case where air-conditioning device is not carried out power-off operation, operation data is adjusted according to feedback information.Refer in feedback information
Show in the good situation of at least one subject comfort, executes the object information for obtaining at least one object in predeterminable area
Step.
In a kind of optional scheme, controller obtains each object in the subregion and each object pair of predeterminable area
The operation data answered, and corresponding operation data control air-conditioning device adjusts the subregion where the object according to each object
Environmental parameter, wherein environmental parameter includes at least one of following: temperature, humidity.
Embodiment 4
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which includes storage
Program, wherein the method that program executes control air-conditioning provided by embodiment 1.
Embodiment 5
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is used to run program,
In, the method for control air-conditioning provided by embodiment 1 is executed when program is run.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (13)
1. a kind of method for controlling air-conditioning characterized by comprising
Obtain the object information of at least one object in predeterminable area；
It is handled, is obtained and at least one described object pair using object information of the preset model at least one object
The operation data for the air-conditioning device answered, wherein the preset model is trained by neural network learning using multi-group data
It arrives, every group of data in the multi-group data include: the object information and the corresponding operation number of the object information
According to；
The air-conditioning device is controlled according to the corresponding operation data of at least one described object to the subregion where the object
Environmental parameter is adjusted.
2. the method according to claim 1, wherein the object information of at least one object includes at least such as
It is one of lower: the body of the quantity of at least one object, the position of at least one object and at least one object
The physical condition information of at least one warm, described object, wherein obtain the object letter of at least one object in predeterminable area
Breath, comprising:
The graphic images of the predeterminable area are acquired based on thermal imaging sensor；
The graphic images are analyzed, determine that the quantity of at least one object in the predeterminable area, institute are in place
It sets and body temperature；
The body temperature of at least one object described in comparing and default body temperature grade, obtain comparison result；
The image information in the predeterminable area is acquired based on camera；
The physical condition information of at least one object is determined according to described image information and the comparison result.
3. the method according to claim 1, wherein the object information of at least one object includes at least such as
It is one of lower: the body of the quantity of at least one object, the position of at least one object and at least one object
The physical condition of at least one warm, described object, wherein obtain the object information of at least one object in predeterminable area, packet
It includes:
The graphic images of the predeterminable area are acquired based on thermal imaging sensor；
The graphic images are analyzed, determine that the quantity of at least one object in the predeterminable area, institute are in place
It sets and body temperature；
Obtain the physical condition information of at least one object input.
4. the method according to claim 1, wherein the object information of at least one object includes at least such as
It is one of lower: the body of the quantity of at least one object, the position of at least one object and at least one object
The physical condition of at least one warm, described object, wherein obtain the object information of at least one object in predeterminable area, packet
It includes:
The graphic images of the predeterminable area are acquired based on thermal imaging sensor；
The graphic images are analyzed, determine that the quantity of at least one object in the predeterminable area, institute are in place
It sets and body temperature；
Obtain the registration information of at least one object；
It is inquired from hospital database according to the registration information and obtains the physical condition information of at least one object.
5. the method according to claim 1, wherein in pair using preset model at least one object
Image information is handled, and before obtaining the operation data of air-conditioning device corresponding at least one described object, the method is also
Include:
Obtain data set, wherein the data set includes the information data in space where air-conditioning device described in multiple groups；
The data set is pre-processed, the data set that obtains that treated；
Treated that data set is trained to obtain the preset model to described；
The preset model is stored into model server, wherein the model server is for storing the preset model.
6. according to the method described in claim 5, it is characterized in that, using preset model to the object of at least one object
Information is handled, and the operation data of air-conditioning device corresponding at least one described object is obtained, comprising:
Newest preset model is obtained from the model server；
The object information of at least one object is analyzed based on the newest preset model, obtains the operation number
According to.
7. according to the method described in claim 5, it is characterized in that, at least one is right according to described controlling the air-conditioning device
After being adjusted as environmental parameter of the corresponding operation data to the subregion where the object, the method also includes:
Obtain the feedback information of at least one object；
In the case where the feedback information indicates that at least one described subject comfort is poor, judge whether the air-conditioning device is held
Row power-off operation；
In the case where the air-conditioning device executes the power-off operation, the preset model is carried out according to the feedback information
It updates, and updated preset model is stored in the model server；
In the case where the air-conditioning device is not carried out the power-off operation, according to the feedback information to the operation data into
Row adjustment.
8. according to the method described in claim 5, it is characterized in that, at least one is right according to described controlling the air-conditioning device
After being adjusted as environmental parameter of the corresponding operation data to the subregion where the object, the method also includes:
Obtain the feedback information of at least one object；
In the case where the feedback information indicates the good situation of at least one described subject comfort, the acquisition predeterminable area is executed
The step of object information of at least one interior object.
9. the method according to claim 1, wherein controlling the air-conditioning device according at least one described object
The environmental parameter of the subregion where the object is adjusted in corresponding operation data, comprising:
Each object is obtained in the subregion and the corresponding operation data of each object of the predeterminable area；
The ring for the subregion that the air-conditioning device is adjusted where the object is controlled according to the corresponding operation data of each object
Border parameter, wherein the environmental parameter includes at least one of following: temperature, humidity.
10. a kind of device for controlling air-conditioning characterized by comprising
Module is obtained, for obtaining the object information of at least one object in predeterminable area；
Processing module, for being handled using object information of the preset model at least one object, obtain with it is described
The operation data of the corresponding air-conditioning device of at least one object, wherein the preset model is to pass through nerve using multi-group data
What network learning and training obtained, every group of data in the multi-group data include: the object information and object letter
Cease corresponding operation data；
Control module, for controlling the air-conditioning device according to the corresponding operation data of at least one described object to the object institute
The environmental parameter of subregion be adjusted.
11. a kind of air-conditioning device characterized by comprising
Sensor, for acquiring the object information for obtaining at least one object in predeterminable area；
Controller, for being handled using object information of the preset model at least one object, obtain with it is described extremely
The operation data of few corresponding air-conditioning device of an object, and it is corresponding according at least one described object to control the air-conditioning device
Operation data the environmental parameter of the subregion where the object is adjusted, wherein the preset model be use multiple groups
Data are obtained by neural network learning training, every group of data in the multi-group data include: the object information with
And the corresponding operation data of the object information.
12. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution
Benefit require any one of 1 to 9 described in control air-conditioning method.
13. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 9 described in control air-conditioning method.
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| CN201811014406.XA CN109140665A (en) | 2018-08-31 | 2018-08-31 | Control the method, apparatus and air-conditioning device of air-conditioning |
| PCT/CN2018/119603 WO2020042417A1 (en) | 2018-08-31 | 2018-12-06 | Air conditioner control method and device, and air conditioning device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811014406.XA CN109140665A (en) | 2018-08-31 | 2018-08-31 | Control the method, apparatus and air-conditioning device of air-conditioning |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110207338A (en) * | 2019-05-20 | 2019-09-06 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, device, storage medium and air-conditioning |
| CN110578987A (en) * | 2019-08-08 | 2019-12-17 | 安徽美博智能电器有限公司 | Cloud-based air conditioner fireproof system and method and storage medium |
| CN110736233A (en) * | 2019-10-29 | 2020-01-31 | 珠海格力电器股份有限公司 | Air conditioner control method and device |
| CN110749055A (en) * | 2019-10-29 | 2020-02-04 | 珠海格力电器股份有限公司 | Method, device and system for controlling air conditioner |
| CN110865666A (en) * | 2019-12-09 | 2020-03-06 | Oppo广东移动通信有限公司 | Temperature control method, temperature control device, storage medium and electronic equipment |
| CN111306091A (en) * | 2020-03-31 | 2020-06-19 | 佛山市云米电器科技有限公司 | Intelligent household equipment, intelligent air outlet system and control method for change of air outlet section of intelligent air outlet system |
| CN111561771A (en) * | 2020-06-16 | 2020-08-21 | 重庆大学 | Intelligent air conditioner temperature adjusting method |
| CN116481128A (en) * | 2023-05-10 | 2023-07-25 | 佛山市清源科技有限公司 | Air purification system, air purification method, and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5860286A (en) * | 1997-06-06 | 1999-01-19 | Carrier Corporation | System monitoring refrigeration charge |
| CN104374053A (en) * | 2014-11-25 | 2015-02-25 | 珠海格力电器股份有限公司 | Intelligent control method, device and system |
| CN105910225A (en) * | 2016-04-18 | 2016-08-31 | 浙江大学 | Air conditioner load control system and method based on personnel information detection |
| CN108181837A (en) * | 2017-11-28 | 2018-06-19 | 珠海格力电器股份有限公司 | Control method and control device |
| CN108279573A (en) * | 2018-02-05 | 2018-07-13 | 北京智能管家科技有限公司 | Control method, device, intelligent appliance based on human body detection of attribute and medium |
| CN108413588A (en) * | 2018-02-12 | 2018-08-17 | 北京工业大学 | A kind of personalized air-conditioner control system and method based on thermal imaging and BP neural network |
| CN108426349A (en) * | 2018-02-28 | 2018-08-21 | 天津大学 | Air-conditioning personalized health management method based on complex network and image recognition |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1167914C (en) * | 2002-12-05 | 2004-09-22 | 上海交通大学 | Individuality air conditioner |
| CN105890109B (en) * | 2016-03-31 | 2018-09-14 | 华南理工大学 | A kind of room air conditioner long-acting performance detection and optimizing operation method online |
| CN107816781A (en) * | 2017-10-31 | 2018-03-20 | 珠海格力电器股份有限公司 | The control method and device of air-conditioning |
| CN108019901A (en) * | 2017-11-16 | 2018-05-11 | 青岛安森克电子有限公司 | A kind of orientation adjustment air-conditioning |
-
2018
- 2018-08-31 CN CN201811014406.XA patent/CN109140665A/en active Pending
- 2018-12-06 WO PCT/CN2018/119603 patent/WO2020042417A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5860286A (en) * | 1997-06-06 | 1999-01-19 | Carrier Corporation | System monitoring refrigeration charge |
| CN104374053A (en) * | 2014-11-25 | 2015-02-25 | 珠海格力电器股份有限公司 | Intelligent control method, device and system |
| CN105910225A (en) * | 2016-04-18 | 2016-08-31 | 浙江大学 | Air conditioner load control system and method based on personnel information detection |
| CN108181837A (en) * | 2017-11-28 | 2018-06-19 | 珠海格力电器股份有限公司 | Control method and control device |
| CN108279573A (en) * | 2018-02-05 | 2018-07-13 | 北京智能管家科技有限公司 | Control method, device, intelligent appliance based on human body detection of attribute and medium |
| CN108413588A (en) * | 2018-02-12 | 2018-08-17 | 北京工业大学 | A kind of personalized air-conditioner control system and method based on thermal imaging and BP neural network |
| CN108426349A (en) * | 2018-02-28 | 2018-08-21 | 天津大学 | Air-conditioning personalized health management method based on complex network and image recognition |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110207338A (en) * | 2019-05-20 | 2019-09-06 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, device, storage medium and air-conditioning |
| CN110578987A (en) * | 2019-08-08 | 2019-12-17 | 安徽美博智能电器有限公司 | Cloud-based air conditioner fireproof system and method and storage medium |
| CN110736233A (en) * | 2019-10-29 | 2020-01-31 | 珠海格力电器股份有限公司 | Air conditioner control method and device |
| CN110749055A (en) * | 2019-10-29 | 2020-02-04 | 珠海格力电器股份有限公司 | Method, device and system for controlling air conditioner |
| CN110865666A (en) * | 2019-12-09 | 2020-03-06 | Oppo广东移动通信有限公司 | Temperature control method, temperature control device, storage medium and electronic equipment |
| CN111306091A (en) * | 2020-03-31 | 2020-06-19 | 佛山市云米电器科技有限公司 | Intelligent household equipment, intelligent air outlet system and control method for change of air outlet section of intelligent air outlet system |
| CN111561771A (en) * | 2020-06-16 | 2020-08-21 | 重庆大学 | Intelligent air conditioner temperature adjusting method |
| CN116481128A (en) * | 2023-05-10 | 2023-07-25 | 佛山市清源科技有限公司 | Air purification system, air purification method, and storage medium |
| CN116481128B (en) * | 2023-05-10 | 2023-11-24 | 佛山市清源科技有限公司 | Air purification system, air purification method, and storage medium |
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| Publication number | Publication date |
|---|---|
| WO2020042417A1 (en) | 2020-03-05 |
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Application publication date: 20190104 |