CN110425688A - A kind of intelligent control method and device of air conditioner - Google Patents
A kind of intelligent control method and device of air conditioner Download PDFInfo
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- CN110425688A CN110425688A CN201910627811.7A CN201910627811A CN110425688A CN 110425688 A CN110425688 A CN 110425688A CN 201910627811 A CN201910627811 A CN 201910627811A CN 110425688 A CN110425688 A CN 110425688A
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
-
- 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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
-
- 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
- F24F2110/10—Temperature
-
- 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
- F24F2110/20—Humidity
-
- 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
- F24F2110/30—Velocity
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The present invention relates to air-conditioning technical fields, more particularly to the intelligent control method and device of a kind of air conditioner, data source is obtained first, and the data source includes the number and categorical data of the data source, and the categorical data includes the one or more of temperature value, humidity value, wind speed；And then recommendation information is generated according to the categorical data, the recommendation information includes one or more of recommended temperature value, recommendation humidity value, recommendation wind speed；The operation that the recommendation information controls the air conditioner is triggered finally by air conditioner, the present invention can make the indoor environment demand of air conditioner intelligent Matching user.
Description
Technical field
The present invention relates to air-conditioning technical fields, and in particular to a kind of intelligent control method and device of air conditioner.
Background technique
With the development of development of Mobile Internet technology, many household electrical appliances have all accessed internet, can pass through mobile phone, tablet computer
Equal mobile terminals easily control household electrical appliances to realize, these technologies all make to realize preferably interaction body between user and household electrical appliances
It tests.
However, user is distant using APP (application refers exclusively to application software or client in the terminals such as mobile phone)
When controlling air conditioner, can only the state current to air conditioner be remotely controlled, air conditioner also only passively receives the behaviour of user
It instructs, the operation of the parameters such as temperature value, humidity value, wind speed will be repeatedly set when user uses every time, and the prior art is not
The parameter being arranged when user uses every time can be efficiently used, air conditioner is unable to the indoor environment demand of intelligent Matching user.
Summary of the invention
The purpose of the present invention is to provide a kind of intelligent control method of air conditioner and devices, it is intended to make air conditioner intelligent
Indoor environment demand with user.
To achieve the goals above, the present invention the following technical schemes are provided:
A kind of intelligent control method of air conditioner, comprising the following steps:
Data source is obtained, the data source includes the number and categorical data of the data source, and the categorical data includes
The one or more of temperature value, humidity value, wind speed；
Recommendation information is generated according to the categorical data, the recommendation information includes recommended temperature value, recommends humidity value, pushes away
Recommend one or more of wind speed；
By triggering the operation that the recommendation information controls the air conditioner to air conditioner.
Further, it described the step of recommendation information is generated according to the categorical data, specifically includes:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is the total of the categorical data
Classification number obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m；
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
Further, the data source is one or more, and when the data source is one, the number of the data source is
Time series of the same data source at one or more time points is numbered, and the recommendation information is according to one or more of times
The corresponding categorical data of sequence number generates.
Further, when the data source is multiple, the number of the data source is that the identity information of multiple data sources is compiled
Number, according to multiple identity information numbers, corresponding categorical data generates the recommendation information for the last time.
It is further, described by before triggering the operating procedure that the recommendation information controls the air conditioner to air conditioner,
Further include: establish the number of the data source and the corresponding relationship of air conditioner.
A kind of intelligent controlling device of air conditioner, described device include: memory, processor and are stored in the storage
In device and the computer program that can run on the processor, the processor execute the computer program operate in it is following
In the module of device:
Data source obtains module, and for obtaining data source, the data source includes the number and classification number of the data source
According to the categorical data includes the one or more of temperature value, humidity value, wind speed；
Recommendation information generation module, for generating recommendation information according to the categorical data, the recommendation information includes pushing away
One or more of recommend temperature value, recommend humidity value, recommend wind speed；
Intelligent control module, for by triggering the operation that the recommendation information controls the air conditioner to air conditioner.
Further, the recommendation information generation module is specifically used for:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is the total of the categorical data
Classification number obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m；
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
Further, the data source is one or more, and the recommendation information generation module is used for:
When the data source is one, the number of the data source is same data source at one or more time points
Time series number, the recommendation information are numbered corresponding categorical data according to one or more of time serieses and are generated.
Further, the recommendation information generation module is used for:
When the data source is multiple, the identity information of multiple data sources is numbered into the number root as the data source
According to multiple identity information numbers, corresponding categorical data generates recommendation information for the last time.
Further, intelligent control module is also used to:
By establishing the data source before triggering the operation that the recommendation information controls the air conditioner to air conditioner
Number and air conditioner corresponding relationship.
The beneficial effects of the present invention are: the present invention discloses the intelligent control method and device of a kind of air conditioner, obtain first
Data source, the data source include the number and categorical data of the data source, and the categorical data includes temperature value, humidity
Value, the one or more of wind speed；And then recommendation information is generated according to the categorical data, the recommendation information includes recommended temperature
One or more of value, recommendation humidity value, recommendation wind speed；It is triggered described in the recommendation information control finally by air conditioner
The operation of air conditioner, the present invention can make the indoor environment demand of air conditioner intelligent Matching user.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow diagram of the intelligent control method of air conditioner of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of the intelligent controlling device of air conditioner of the embodiment of the present invention.
Specific embodiment
Clear, complete description is carried out to technical solution of the present invention below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel are obtained without making creative work so other embodiments, belong to protection scope of the present invention.
To solve the problems, such as that current air conditioner is unable to the indoor environment demand of intelligent Matching user when in use, with reference to Fig. 1,
A kind of intelligent control method of air conditioner provided in an embodiment of the present invention, comprising the following steps:
Step S100, data source is obtained, the data source includes the number and categorical data of the data source, the classification
Data include the one or more of temperature value, humidity value, wind speed；
Step S200, recommendation information is generated according to the categorical data, the recommendation information includes recommended temperature value, recommends
One or more of humidity value, recommendation wind speed；
Step S300, by triggering the operation that the recommendation information controls the air conditioner to air conditioner.
In the present embodiment, data are generated by controlling terminals such as the mobile terminals such as mobile phone, tablet computer or intelligent remote controllers
Source can call directly the data source, or the data source is stored in database and is used as historical record, in the present embodiment,
Historical record can store in the memory space that controlling terminal carries, and also can store in air conditioner or server.
In one embodiment, when the data source of acquisition only includes an information, the number of the data source is 1, institute
Stating categorical data is recommendation information；It in another embodiment, will be a plurality of described when obtaining data source comprising a plurality of information
Data source is numbered, and the comprehensive categorical data generates recommendation information.
The categorical data includes the one or more of temperature value, humidity value, wind speed, it will be appreciated that is the categorical data
It also may include more categorical datas including at least one in temperature value, humidity value, wind speed, for example, wind direction angle etc..
The classification that the categorical data includes determines the classification that the recommendation information can include.
By triggering the recommendation information to air conditioner, the air conditioner obtains the recommendation information, responds and execute institute
Recommendation information is stated, to control the operation of the air conditioner.
The above-mentioned terminal for being used to control air conditioner has communication module, which has can be with air conditioner or service
The function of device communication, can be connect by wireless modes such as WIFI, infrared or radio frequencies with air conditioner, can also be taken by network connection
Business device, when historical record stores in air conditioner or server, controlling terminal can pass through communication module and air conditioner or service
Device communication, obtains historical record from air conditioner or server.When controlling terminal passes through network attached server, can exist in advance
One user name of server registration, as user, this generates historical record in self-defined pattern and the historical record is uploaded to clothes
It is engaged in after device, by the user name, this is associated in self-defined pattern historical record generated with user, in this way, when one under user
It is secondary when being logged in other controlling terminals by this user name, after server authentication passes through, can equally call corresponding history
Record.
In an improved embodiment, described the step of recommendation information is generated according to the categorical data, specifically include:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is the total of the categorical data
Classification number obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m.
In one embodiment, the data source includes 60 datas, this 60 data is numbered respectively, then described
The total n=60 of number, the categorical data include temperature value, humidity value, wind speed, then total classification number m of the categorical data
=3.
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
When the information that acquisition data source is included is enough, categorical data can be learnt, be fitted the use habit of user.
The optimal environmental parameter of user and tolerable fluctuation range should be comprehensively considered by being fitted the recommendation information obtained, so as to intelligence
Match the indoor environment demand of user.
In the present embodiment, the data source is one or more, when the data source is one, the data source
Number is that time series of the same data source at one or more time points is numbered, and the recommendation information is according to one or more
A time series is numbered corresponding categorical data and is generated.
The above-mentioned terminal for controlling air conditioner includes unique identification information, such as the IMEI code of mobile phone,
The MAC Address etc. of computer can identify the quantity of the data source according to the identification information.When the data source is
At one, to distinguish a plurality of data that the data source is included, can be numbered according to time series to the data source into
Row number.
When the data source is one, it can be understood as the data source that single user sends, since each user is to room
The demand of interior environment is relatively stable.By the parameter of study user setting in the past, it can be fitted the use habit of user, so as to
With the indoor environment demand of intelligent Matching single user.
In one embodiment, when the data source is multiple, the number of the data source is the body of multiple data sources
Part information encoding, according to multiple identity informations numbers, corresponding categorical data generates the recommendation information for the last time.
When the data source is multiple, to distinguish a plurality of data that the data source is included, can be believed according to identity
The data source is numbered in breath number.
When the data source is multiple, it can be understood as the data source that multiple users send, when one room of more people coexistence
Between when, everyone is not quite similar at the demand to indoor environment, needs to meet more Man's Demands as much as possible.
In the present embodiment, multiple identity informations number the corresponding categorical data of last time it is understood that obtaining more
The data source that a user's last time is sent, the data source can be, the number that user triggers for the last time in time
According to source, it is also possible to the recommendation information of the history parameters triggered early period according to user generation, user touches for the last time in time
Send out recommendation information described, then the categorical data that data source is included is the recommendation information.Multiple data sources include each
Self-corresponding identity information number, multiple identity information numbers have also just corresponded to categorical data.
When multiple users coexist a Room, some users are not yet used as data source that categorical data was arranged, or need basis
Room environment independently sets categorical data, by learning the parameter of multiple user settings, can meet more people's as much as possible
Demand, so as to the indoor environment demand of the multiple users of intelligent Matching.
It is described to control the air conditioner by triggering the recommendation information to air conditioner in an improved embodiment
Before operating procedure, further includes: establish the number of the data source and the corresponding relationship of air conditioner.
The corresponding relationship of the number for establishing the data source and air conditioner, it can be understood as, the data source and institute
The mapping relations of air conditioner are stated, the mapping relations can be the corresponding air conditioner of a data source, and multiple data sources are corresponding
One air conditioner, multiple data sources correspond to more air conditioners, and a data source corresponds to more air conditioners, can be according to actual use need
It asks and is set.
In one embodiment, the air conditioner be stored with it is corresponding with data source number have a relationship, it is described logical
It crosses before the operating procedure that air conditioner triggers that the recommendation information controls the air conditioner, air conditioner identifies the recommendation information
In data source number, retain with it is described have identify that successful data source is numbered in relationship, give up and have in relationship with described
The data source of recognition failures is numbered, to establish the number of the data source and the corresponding relationship of air conditioner.
In one embodiment, the air conditioner not yet establishes the corresponding relationship with data source number, described by sky
Before adjusting device to trigger the operating procedure that the recommendation information controls the air conditioner, air conditioner identifies the number in the recommendation information
It is numbered according to source, retains the corresponding relationship of the air conditioner and data source number, to establish the number and air-conditioning of the data source
The corresponding relationship of device.
In this way, no matter whether the air conditioner has been stored with the corresponding relationship with data source number, all progress data brush
Newly, it is ensured that empty described by before triggering the operating procedure that the recommendation information controls the air conditioner to air conditioner
The corresponding relationship for adjusting device to number with data source is newest.
The number of the data source and the corresponding relationship of air conditioner are established, can satisfy different application scenarios demands, intelligence
Indoor environment demand of the user under different scenes can be matched.
With reference to Fig. 2, the present embodiment also provides a kind of intelligent controlling device of air conditioner, and described device includes: memory, place
The computer program managing device and storage in the memory and can running on the processor, the processor execute institute
Computer program is stated to operate in the module of following device:
Data source obtains module 100, and for obtaining data source, the data source includes the number and classification of the data source
Data, the categorical data include the one or more of temperature value, humidity value, wind speed；
Recommendation information generation module 200, for generating recommendation information according to the categorical data, the recommendation information includes
One or more of recommended temperature value, recommendation humidity value, recommendation wind speed；
Intelligent control module 300, for by triggering the operation that the recommendation information controls the air conditioner to air conditioner.
In an improved embodiment, the recommendation information generation module 200 is specifically used for:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is the total of the categorical data
Classification number obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m；
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
In one embodiment, the data source is one or more, and the recommendation information generation module 200 is used for:
When the data source is one, the number of the data source is same data source at one or more time points
Time series number, the recommendation information are numbered corresponding categorical data according to one or more of time serieses and are generated.
In an improved embodiment, the recommendation information generation module 200 is used for:
When the data source is multiple, the identity information of multiple data sources is numbered into the number root as the data source
According to multiple identity information numbers, corresponding categorical data generates recommendation information for the last time.
In an improved embodiment, intelligent control module 300 is also used to:
By establishing the data source before triggering the operation that the recommendation information controls the air conditioner to air conditioner
Number and air conditioner corresponding relationship.
A kind of intelligent controlling device of air conditioner can run on desktop PC, mobile phone, notebook, plate electricity
Brain and cloud server etc. calculate in equipment.A kind of intelligent controlling device of air conditioner, the system that can be run may include, but
It is not limited only to, processor, memory.It will be understood by those skilled in the art that the example is only a kind of intelligence of air conditioner
The example of control device does not constitute a kind of restriction of the intelligent controlling device to air conditioner, may include it is more than example or
Less component, perhaps combines certain components or different components, for example, a kind of air conditioner intelligent controlling device also
It may include input-output equipment, network access equipment, bus etc..
Alleged processor can be central processing unit (Central-Processing-Unit, CPU), can also be it
His general processor, digital signal processor (Digital-Signal-Processor, DSP), specific integrated circuit
(Application-Specific-Integrated-Circuit, ASIC), ready-made programmable gate array (Field-
Programmable-Gate-Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng, the processor is a kind of control centre of the intelligent controlling device operating system of air conditioner, using various interfaces and
Connection entirely a kind of intelligent controlling device of air conditioner can operating system various pieces.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, described in realization
A kind of various functions of the intelligent controlling device of air conditioner.The memory can mainly include storing program area and storing data
Area, wherein storing program area can application program needed for storage program area, at least one function (such as sound-playing function,
Image player function etc.) etc.；Storage data area, which can be stored, uses created data (such as audio data, electricity according to mobile phone
Script for story-telling etc.) etc..In addition, memory may include high-speed random access memory, it can also include nonvolatile memory, such as
Hard disk, memory, plug-in type hard disk, intelligent memory card (Smart-Media-Card, SMC), secure digital (Secure-
Digital, SD) card, flash card (Flash-Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
Although the description of the disclosure is quite detailed and especially several embodiments are described, it is not
Any of these details or embodiment or any specific embodiments are intended to be limited to, but should be considered as is by reference to appended
A possibility that claim provides broad sense in view of the prior art for these claims explanation, to effectively cover the disclosure
Preset range.In addition, the disclosure is described with inventor's foreseeable embodiment above, its purpose is to be provided with
Description, and those equivalent modifications that the disclosure can be still represented to the unsubstantiality change of the disclosure still unforeseen at present.
Claims (10)
1. a kind of intelligent control method of air conditioner, which comprises the following steps:
Data source is obtained, the data source includes the number and categorical data of the data source, and the categorical data includes temperature
The one or more of value, humidity value, wind speed；
Recommendation information is generated according to the categorical data, the recommendation information includes recommended temperature value, recommends humidity value, recommends wind
One or more of speed；
By triggering the operation that the recommendation information controls the air conditioner to air conditioner.
2. a kind of intelligent control method of air conditioner according to claim 1, which is characterized in that described according to the classification
Data generate the step of recommendation information, specifically include:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is total classification of the categorical data
Number, obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m；
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
3. a kind of intelligent control method of air conditioner according to claim 1, which is characterized in that the data source is one
Or it is multiple, when the data source is one, the number of the data source is same data source at one or more time points
Time series number, the recommendation information are numbered corresponding categorical data according to one or more of time serieses and are generated.
4. a kind of intelligent control method of air conditioner according to claim 3, which is characterized in that when the data source is more
When a, the number of the data source is the identity information number of multiple data sources, and the recommendation information is according to multiple identity
The corresponding categorical data of information encoding last time generates.
5. a kind of intelligent control method of air conditioner according to claim 1, which is characterized in that described by air conditioner
Before triggering the operating procedure that the recommendation information controls the air conditioner, further includes: establish the number of the data source and empty
Adjust the corresponding relationship of device.
6. a kind of intelligent controlling device of air conditioner, which is characterized in that described device includes: memory, processor and storage
In the memory and the computer program that can run on the processor, the processor execute the computer program
It operates in the module of following device:
Data source obtains module, and for obtaining data source, the data source includes the number and categorical data of the data source, institute
State the one or more that categorical data includes temperature value, humidity value, wind speed；
Recommendation information generation module, for generating recommendation information according to the categorical data, the recommendation information includes recommending temperature
One or more of angle value, recommendation humidity value, recommendation wind speed；
Intelligent control module, for by triggering the operation that the recommendation information controls the air conditioner to air conditioner.
7. a kind of intelligent controlling device of air conditioner according to claim 6, which is characterized in that the recommendation information generates
Module is specifically used for:
Enabling categorical data X is the data matrix of n × m, and wherein n is the sum of the number, and m is total classification of the categorical data
Number, obtains following raw data matrix:
Wherein, i=1,2 ... n, j=1,2 ... m；
It is calculated by the following formula the classification x of each data sourcejAverage value
It is calculated by the following formula xjAdjustable threshold sj:
It is calculated by the following formula to obtain recommendation information yj:
8. a kind of intelligent controlling device of air conditioner according to claim 6, which is characterized in that the data source is one
Or it is multiple, the recommendation information generation module is used for:
When the data source is one, the number of the data source is time of the same data source at one or more time points
Sequence number, the recommendation information are numbered corresponding categorical data according to one or more of time serieses and are generated.
9. a kind of intelligent controlling device of air conditioner according to claim 8, which is characterized in that the recommendation information generates
Module is used for:
When the data source is multiple, the identity information of multiple data sources is numbered into the number as the data source according to more
Corresponding categorical data generates recommendation information to a identity information number for the last time.
10. a kind of intelligent controlling device of air conditioner according to claim 6, which is characterized in that intelligent control module is also
For:
By establishing the volume of the data source before triggering the operation that the recommendation information controls the air conditioner to air conditioner
Corresponding relationship number with air conditioner.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111397151A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment and control method and device thereof |
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| CN104279713A (en) * | 2014-10-24 | 2015-01-14 | 珠海格力电器股份有限公司 | Air conditioner control method and system and air conditioner controller |
| CN105864961A (en) * | 2016-03-31 | 2016-08-17 | 广东美的制冷设备有限公司 | Control method and device for air conditioner and air conditioner |
| CN106871365A (en) * | 2017-03-09 | 2017-06-20 | 美的集团股份有限公司 | The progress control method of air-conditioner, device and air-conditioning system |
| CN109059180A (en) * | 2018-07-27 | 2018-12-21 | 广东美的制冷设备有限公司 | Control method, device, air conditioner and the computer readable storage medium of air conditioner |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111397151A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment and control method and device thereof |
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