CN108917111A - A kind of intelligent air conditioner and its control method - Google Patents
A kind of intelligent air conditioner and its control method Download PDFInfo
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- CN108917111A CN108917111A CN201810823425.0A CN201810823425A CN108917111A CN 108917111 A CN108917111 A CN 108917111A CN 201810823425 A CN201810823425 A CN 201810823425A CN 108917111 A CN108917111 A CN 108917111A
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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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- 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
-
- 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
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The present invention provides a kind of intelligent air conditioner and its control method, the intelligent air conditioner control method includes the following steps:S1:Acquire the historical behavior data of air conditioner user and the historical operating parameter of air conditioner;S2:According to the historical behavior data, determine that the prediction of the air conditioner uses the time;S3:The time is used according to the prediction of the air conditioner, the opening time of the air conditioner is set;S4:According to the historical operating parameter, the unlatching operating parameter of the air conditioner is set;S5:According to the opening time and the unlatching operating parameter, the air conditioner operation is controlled.Intelligent air conditioner control method of the present invention selects the opening time of air conditioner and the operating parameter of air conditioner based on the daily habits of user, is conducive to improve user's comforts of use, control method is more intelligent, humanized.
Description
Technical field
The present invention relates to air-conditioning technical field, in particular to a kind of intelligent air conditioner and its control method.
Background technique
Air conditioner plays increasingly important role as a kind of household items in daily life.For air conditioner
It uses, most people all follows simple repeat pattern, such as summer, after going back home, opens the refrigeration mode of air-conditioning, leaves home
When the refrigeration mode of air-conditioning is closed;Winter after going back home, opens the heating mode of air-conditioning, by the heating mould of air-conditioning when leaving home
Formula is closed.Key at present to the control mode majority of air conditioner using manually controlling, i.e., on manual operation air conditioner remote controler
To control air-conditioning.
However, the intelligence degree of this control method is insufficient, bring some inconvenience to people's lives, for example, scorching
The summer of heat or the winter of cold, people are then turned on air-conditioning after entering room, since the refrigeration of air-conditioning and heating are required to centainly
Time, after causing people to enter room in certain time, indoor environment is constantly in uncomfortable state.
Summary of the invention
In view of this, the present invention is directed to propose a kind of intelligent air conditioner control method, to solve air conditioner in the prior art
The problem of control method intelligence degree deficiency.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way:
A kind of intelligent air conditioner control method, the intelligent air conditioner control method include the following steps:
S1:Acquire the historical behavior data of air conditioner user and the historical operating parameter of air conditioner;
S2:According to the historical behavior data, determine that the prediction of the air conditioner uses the time;
S3:The time is used according to the prediction of the air conditioner, the opening time of the air conditioner is set;
S4:According to the historical operating parameter, the unlatching operating parameter of the air conditioner is set;
S5:According to the opening time and the unlatching operating parameter, the air conditioner operation is controlled.
Further, the historical behavior data of the acquisition air conditioner user include:Acquire the user time of returning home,
Time of getting home of the user, the user location information.
Further, the operating parameter includes open mode, set temperature, wind file mode, pendulum wind mode.
Further, the open mode includes heating mode, refrigeration mode, dehumidification mode, air supply pattern, automatic mold
Formula.
Further, the historical operating parameter of the acquisition air conditioner include acquire the air conditioner history open mode,
History set temperature, history wind file mode, history put wind mode.
Further, described according to the historical behavior data, determine that the prediction of air conditioner includes following step using the time
Suddenly:
S21:Collect and record getting home the time for the user in a period of time;
S22:It is got home the time according to described, determines that the prediction of the air conditioner uses the time.
Further, described according to the historical behavior data, determine that the prediction of air conditioner includes following step using the time
Suddenly:
S201:The time of returning home of the user, the time of getting home of the user, the use were collected and recorded in a period of time
The location information at family;
S202:According to the time of returning home of the user, get home time and the location information of the user of the user,
Calculate the average speed in user's way home;
S203:The real-time positioning information of the user is acquired, and acquires corresponding real-time time;
S204:According to the real-time positioning information, the real-time time, the average speed, the pre- of the user is calculated
Measure the time;
S205:It is got home the time according to the prediction, determines that the prediction of the air conditioner uses the time.
Further, described according to the historical operating parameter, the unlatching operating parameter that the air conditioner is arranged includes such as
Lower step:
S41:The operating parameter of the air conditioner in a period of time is acquired, and acquires the corresponding fortune of the operating parameter
The row time;
S42:The operating parameter that the runing time reaches a certain duration is recorded;
S43:The record data are analyzed, the most operating parameter of number of run is denoted as service work ginseng
Number;
S44:Set the service work parameter to the unlatching operating parameter of the air conditioner.
Compared with the existing technology, intelligent air conditioner control method of the present invention has the advantage that:
(1) intelligent air conditioner control method of the present invention, opening for air conditioner is selected based on the daily habits of user
The operating parameter for opening time and air conditioner is conducive to improve user's comforts of use, and control method is more intelligent, human nature
Change.
(2) intelligent air conditioner control method of the present invention, according to user get home the time set air conditioner from
The dynamic opening time, according to the daily setup parameter of user, to set the unlatching operating parameter of air conditioner, so that the opening time is more
Meet the daily daily schedule of user, while the operating parameter of air conditioner more meets user demand, is conducive to improve air conditioner
Intelligent level keeps the intelligent air-conditioning system control method associated with the actual demand of user, to realize controlling party
Personage's interaction of method.
(3) the automatic opening time of intelligent air conditioner control method of the present invention, air conditioner is not only decided by user
Departure time, additionally depend on real-time positioning information, automatically turn on the time can according to the real-time positioning information of user ceaselessly into
Row amendment, so that the automatic opening time of air conditioner can change according to daily actual conditions, air conditioner is automatically turned on
The setting of time is more accurate, it is flexible with it is intelligent.
It is insufficient to solve current air conditioner intelligence degree another object of the present invention is to propose a kind of intelligent air conditioner
The problem of.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way:
A kind of intelligent air conditioner, the intelligent air conditioner include:
Data acquisition module, the history run for historical behavior data and the air conditioner to the air conditioner user
Parameter is acquired, and is recorded;
Analysis module receives the data of the data acquisition module record, analyzes the data, and analysis is tied
Fruit is recorded;
Control module receives the analysis of the analysis module as a result, according to the analysis as a result, judging the air conditioner
The unlatching operating parameter of opening time and the air conditioner determine the control instruction to air conditioner, and the control are referred to
Order is sent to the air conditioner;
The data acquisition module, the analysis module communicate to connect between the control module.
Further, the data acquisition module includes:
Behavioral data acquisition module, the behavioral data acquisition module be used to record the user the time of returning home,
The time of getting home, the location information;
Operating parameter acquisition module, the operating parameter acquisition module are used to acquire the operation ginseng of the air conditioner
Number;
It is communicated to connect between the operating parameter acquisition module and the behavioral data acquisition module.
Possessed advantage is identical compared with the existing technology with above-mentioned intelligent air conditioner control method for the intelligent air conditioner,
Details are not described herein.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of intelligent air conditioner control method described in the embodiment of the present invention 1;
Fig. 2 is the flow chart that the prediction of air conditioner described in the embodiment of the present invention 2 determines method using the time;
Fig. 3 is the flow chart that air conditioner described in the embodiment of the present invention 2 opens operating parameter setting method;
Fig. 4 is the flow chart that the prediction of air conditioner described in the embodiment of the present invention 3 determines method using the time.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Embodiment 1
It is the flow chart of intelligent air conditioner control method in the present embodiment referring to Fig. 1, Fig. 1.
The present embodiment provides a kind of intelligent air conditioner control method, which includes the following steps:
S1:Acquire the historical behavior data of air conditioner user and the historical operating parameter of air conditioner;
S2:According to historical behavior data, determine that the prediction of air conditioner uses the time;
S3:The time is used according to the prediction of air conditioner, the opening time of air conditioner is set;
S4:According to historical operating parameter, the unlatching operating parameter of air conditioner is set;
S5:According to the opening time and operating parameter is opened, control air conditioner operation.
The opening time of intelligent air conditioner control method provided in this embodiment, air conditioner can make with the prediction of air conditioner
It is identical with the time, can also be different, it oneself can be configured according to the needs of users;When the opening time of setting air conditioner is earlier than pre-
When surveying using the time, the as pre- open function of air conditioner;The present embodiment is by taking the pre- open function of air conditioner as an example, to the intelligence
Air-conditioner control method is explained.
It is sampled first with big data, acquisition air conditioner user historical behavior data interior for a period of time, by user
Historical behavior data are analyzed, and prediction user may need to open the time of air conditioner, which is determined as air-conditioning
The prediction of device uses the time, is denoted as T1;To improve the comfort level that user uses air conditioner, when user being made to enter room, room temperature is
Reached a more appropriate temperature, by the opening time of air conditioner be set as prediction using before the time sometime, note
Air-conditioning is opened, T2 is T1-15min at this time for T2, such as user's selection when predicting using 15 minutes before the time.
After user opens pre- open function, system can judge automatically the opening time of air conditioner according to this method, daily meeting
Air conditioner is automatically turned in the opening time in judgement, without the daily manually opened pre- open function of user;And the air conditioner is opened
The determination for opening the time is to make on the basis of based on analyzing user's history behavioral data, rather than mechanical set
It is set to sometime point;The air-conditioning opening time determined with this method, it is easypro once going home to experience that family on the one hand can be used
Suitable temperature, on the other hand, the opening time of air conditioner meets the use habit of user, avoids the daily manual setting air-conditioning of user
The unlatching of device or pre- open function.
It is sampled also with big data, acquires the historical operating parameter of air conditioner in a period of time, the historical operating parameter
As user is accustomed to the usage behavior of air conditioner, by the analysis to user's usage behavior, to predict that user opens air conditioner
When the operating parameter that may select determine operating parameter when air conditioner is opened according to the prediction, that is, determine opening for air conditioner
Open operating parameter.
By the unlatching operating parameter for the air conditioner that this method determines, meet the use habit of user, meets user's sense
Under the premise of feeling comfortable, does not need user and frequently air conditioner is configured, make the use of air conditioner that can accomplish personage's friendship
Mutually, more intelligent.
After opening pre- open function, system can determine the opening time of air conditioner and holding for air conditioner according to the above method
Operating parameter is opened, after the opening time determined by arrival system, air conditioner is automatically turned on, while air conditioner is according to system determination
Operating parameter is run.
Intelligent air conditioner control method provided in this embodiment, the unlatching of air conditioner is selected based on the daily habits of user
The operating parameter of time and air conditioner is conducive to improve user's comforts of use, and control method is more intelligent, human nature
Change.
Embodiment 2
Referring to fig. 2, Fig. 3, Fig. 2 are the flow chart that air conditioner prediction determines method using the time in the present embodiment;Fig. 3 is this
Air conditioner opens the flow chart of operating parameter setting method in embodiment.
On the basis of embodiment 1, in intelligent air conditioner control method provided in this embodiment, the history of air conditioner user
Behavioral data includes getting home the time for user.
In the present embodiment, according to historical behavior data, determine that the prediction of air conditioner is included the following steps using the time:
S21:Collect and record getting home the time for user in a period of time;
S22:It is got home the time according to daily, determines that the prediction of air conditioner uses the time.
It is sampled using big data, acquisition user is interior for a period of time to get home the time, and carries out statistical to the time of getting home
Analysis counts most one of frequency of occurrence and gets home the time, the prediction which is set as user is got home the time;According to
Existence general knowledge, prediction time of getting home is time that user may need to open air conditioner, which is opened air conditioner
The prediction that time is determined as air conditioner uses the time.
By analyzing the time of getting home interior for a period of time user, the time of getting home for taking frequency of occurrence most is air-conditioning
The prediction of device uses the time, determines the opening time of air conditioner using the time further according to the prediction, the sky determined using this method
The device opening time is adjusted, the daily daily schedule of user is met, the intelligentized control method for being conducive to improve air conditioner is horizontal.
After setting the opening time of air conditioner, further according to the historical operating parameter of air conditioner, that is, user
Usage behavior is accustomed to that the unlatching operating parameter of air conditioner is arranged, and the unlatching operating parameter in the present embodiment refers to that air conditioner is automatic
The operating parameter set automatically when unlatching;The operating parameter of air conditioner includes open mode, set temperature, the wind file mould of air conditioner
Formula, pendulum wind mode, wherein open mode includes the routine of the air conditioners such as heating mode, refrigeration mode, dehumidification mode, air supply pattern
Setting pattern;The usage behavior habit of user is accustomed to the air conditioner operating parameter being arranged, i.e. air-conditioning in referring to user for a period of time
The historical operating parameter of device, the historical operating parameter include the history open mode of air conditioner, history set temperature, history wind file
Mode, history put wind mode;Specifically, the unlatching operating parameter that air conditioner is arranged includes following step according to historical operating parameter
Suddenly:
S41:The operating parameter of air conditioner in a period of time is acquired, and acquires the corresponding runing time of operating parameter;
S42:The operating parameter that runing time reaches a certain duration is recorded;
S43:Record data are analyzed, the most operating parameter of number of run is denoted as service work parameter;
S44:Set service work parameter to the unlatching operating parameter of air conditioner.
Air conditioner operation parameters set by user in certain period of time are analyzed, it is therefore an objective to the section is grasped by data
The setting habit of user in time, is accustomed to judge that user may select when air conditioner automatically turns on according to the setting of user
Operating parameter, set the unlatching operating parameter of air conditioner, according to the operating parameter that user may select to ensure air-conditioning
The demand that operating parameter of the device when automatically turning on meets user avoids while providing the user with a comfortable environment
User is after air conditioner automatic opening, it is also necessary to again according to the setting for needing to carry out air conditioner various parameters of oneself, make
The control method for obtaining air conditioner is more intelligent and humanized.
When analyzing the operating parameter of air conditioner, while the runing time of each operating parameter is acquired, and only record fortune
The row time reaches the operating parameter of a certain duration, and the specific value of the duration can be set by user, it is therefore an objective to remove one
A little meaningless data, such as since air-conditioning etc. is opened in the maloperation of user, to reduce analysis data, analysis difficulty is reduced,
Improve analysis efficiency.
Intelligent air conditioner control method provided in this embodiment, getting home the time and set the automatic of air conditioner according to user
Opening time, according to the daily setup parameter of user, to set the unlatching operating parameter of air conditioner, so that the opening time more accords with
The daily daily schedule at family is shared, while the operating parameter of air conditioner more meets user demand, is conducive to the intelligence for improving air conditioner
Energyization is horizontal, keeps the intelligent air conditioner control method associated with the actual demand of user, to realize control method
Personage's interaction.
Embodiment 3
Referring to fig. 4, Fig. 4 is the flow chart that air conditioner prediction determines method using the time in the present embodiment.
As different from Example 2, the historical behavior data of air conditioner user further include returning home for user in the present embodiment
Time, user location information;Historical behavior data provided in this embodiment according to air conditioner user, determine the pre- of air conditioner
Survey is included the following steps using the time:
S201:The positioning for collecting and recording in a period of time the time of returning home of user, the time of getting home of user, user is believed
Breath;
S202:According to time, the time of getting home and the location information of returning home, the average speed in user's way home is calculated;
S203:The real-time positioning information of user is acquired, and acquires corresponding real-time time;
S204:According to real-time positioning information, real-time time, average speed, the prediction for calculating user is got home the time;
S205:It is got home the time according to prediction, determines that the prediction of air conditioner uses the time.
Time of returning home in the present embodiment refers to the departure time that the places such as user's subsidiary company are set out when returning home.One section of acquisition
User's daily return home time, the time of getting home and location information in time calculates user's subsidiary company according to location information and gets home
Distance, further according to return home the time with get home the time calculate user go home required for spend time, counted according to away from discrete time
The speed that user's subsidiary company is got home is calculated, the average value of speed in a period of time is taken, as average speed;When user opens air-conditioning
When the automatic opening function of device or pre- open function, the real-time positioning information of system acquisition user is calculated between user and family
Real-time range;And acquire real-time time corresponding with the location information;According to real-time range and average speed, calculate user from
It gets home the time that may need to spend, which is added with real-time time collected, i.e., at the positioning
The possibility that user can be calculated is got home the time, i.e. the prediction of user is got home the time;The time is got home further according to the prediction to determine sky
The prediction of device is adjusted to use the time;The prediction of air conditioner is identical using time that can get home with the prediction of user time, can also not
Together, user can according to circumstances self-setting.
After the automatic opening function of opening air conditioner, when system calculates air conditioner according to the real-time positioning information of user
Prediction is used between the time further according to the prediction using the air conditioner opening time and prediction of time and setting using after the time
Relationship, calculate the opening time of air conditioner, then the opening time is compared with real-time time, real-time time, which reaches, to be set
When the fixed opening time, air conditioner is automatically turned on.
Since real-time positioning information is changed frequently, so being got home the time according to the calculated prediction of real-time positioning information
Constantly changing, the opening time of air conditioner also changes correspondingly, so that the automatic opening time of air conditioner not only determines
In the departure time of user, real-time positioning information is additionally depended on, automatically turning on the time can be according to the real-time positioning information of user not
That stops is modified, so that the automatic opening time of air conditioner can change according to daily actual conditions, air conditioner is certainly
The setting of dynamic opening time is more accurate, it is flexible with it is intelligent.
Embodiment 4
The present embodiment provides a kind of intelligent air conditioner, which includes:Data acquisition module, for air conditioner
The historical behavior data of user and the historical operating parameter of air conditioner are acquired, and are recorded;Analysis module receives data
Acquisition module recorded data is analyzed recorded, and analysis result is recorded;Control module receives
The analysis of analysis module is as a result, based on the analysis results, judging the opening time of air conditioner and opening operating parameter, determine to air-conditioning
The control instruction of device, and the control instruction is sent to air conditioner;Data acquisition module, analysis module are led between control module
Letter connection.
Specifically, returning home first by the way that data acquisition module is interior for a period of time to user when the intelligent air conditioner is run
Time, the time of getting home, location information and the open mode of air conditioner set by user, set temperature, wind file in a period of time
The data such as mode, pendulum wind mode are acquired, and are recorded;The record result of data acquisition module is sent to by communication signal
Analysis module, analysis module by for statistical analysis to the time of returning home of user collected, the time of getting home, location information,
Judge that user is possible to get home the time, which is set as the daily of user and is got home the time;According to this it is daily get home when
Between determine air conditioner prediction use the time;Next, analysis module continues the open mode to air conditioner collected, setting
The data such as temperature, wind file mode, pendulum wind mode are analyzed, and judge the setting habit in user's period;And it will determine
Prediction be accustomed to by communication signal being sent to control module using the setting of time and user, control module is according to above-mentioned pre-
The opening time for determining air conditioner using the time is surveyed, is accustomed to determining the open mode of air conditioner according to the setting of user;Work as user
When opening the automatic opening function of air conditioner, control module generates control command, and the control command is sent to air conditioner.
Intelligent air conditioner provided in this embodiment, by data acquisition module to the historical behavior data and air-conditioning of user
The historical operating parameter of device is acquired, and is determined that air conditioner automatically turns on the time according to the daily daily schedule of user, is passed through
The setting of user is accustomed to setting operating parameter when air conditioner automatically turns on, so that the operation of the intelligent air conditioner more meets use
The demand at family is conducive to improve user's comforts of use, realizes personage's interaction of intelligent air conditioner, intelligent air conditioner more intelligence
Energyization, hommization.
Embodiment 5
On the basis of embodiment 4, the data acquisition module in the present embodiment includes behavioral data acquisition module and operation
Parameter collection module, wherein behavioral data acquisition module is used to record return home time, the time of getting home, the location information of user;Fortune
Row parameter collection module is used to acquire the operating parameter of air conditioner;Between operating parameter acquisition module and behavioral data acquisition module
Communication connection.
Behavioral data acquisition module can be cell phone application, which can be the dedicated APP of air-conditioning, or with
The shared APP of other smart homes.
When using the intelligent air conditioner, the automatic opening function of air conditioner can be opened by cell phone application, or open function in advance
Can, automatically turning on function or the relevant parameter of pre- open function can be set automatically by system, can also be manually set.
It, can also will be corresponding by the cell phone application when not needing automatic opening or the pre- open function using air conditioner
Function is closed;Cell phone application is connected with operating parameter acquisition module by communication signal, and cell phone application can check that operating parameter is adopted
Collect the operating parameter of module air conditioner collected, when necessary, manual modification can also be carried out to corresponding operating parameter.
Data acquisition module is divided into behavior data acquisition module and operating parameter by intelligent air conditioner provided in this embodiment
Acquisition module two parts are respectively acquired historical behavior data and the usage behavior habit of user, so that data acquisition
Work can carry out simultaneously, improve the working efficiency of intelligent air conditioner;On the other hand, by cell phone application, it can be achieved that whenever and wherever possible
Air conditioner is controlled, so that air conditioner is more convenient to use.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of intelligent air conditioner control method, which is characterized in that the intelligent air conditioner control method includes the following steps:
S1:Acquire the historical behavior data of air conditioner user and the historical operating parameter of air conditioner;
S2:According to the historical behavior data, determine that the prediction of the air conditioner uses the time;
S3:The time is used according to the prediction of the air conditioner, the opening time of the air conditioner is set;
S4:According to the historical operating parameter, the unlatching operating parameter of the air conditioner is set;
S5:According to the opening time and the unlatching operating parameter, the air conditioner operation is controlled.
2. intelligent air conditioner control method according to claim 1, which is characterized in that the acquisition air conditioner user's goes through
History behavioral data includes:Acquire the time of returning home of the user, the time of getting home of the user, the user location information.
3. intelligent air conditioner control method according to claim 1, which is characterized in that the operating parameter includes opening mould
Formula, set temperature, wind file mode, pendulum wind mode.
4. intelligent air conditioner control method according to claim 3, which is characterized in that the open mode includes heating mould
Formula, refrigeration mode, dehumidification mode, air supply pattern, automatic mode.
5. intelligent air conditioner control method according to claim 4, which is characterized in that the history fortune of the acquisition air conditioner
Row parameter includes acquiring the air conditioner history open mode, history set temperature, history wind file mode, history to put wind mode.
6. intelligent air conditioner control method according to claim 2, which is characterized in that described according to the historical behavior number
According to determining that the prediction of air conditioner is included the following steps using the time:
S21:Collect and record getting home the time for the user in a period of time;
S22:It is got home the time according to described, determines that the prediction of the air conditioner uses the time.
7. intelligent air conditioner control method according to claim 2, which is characterized in that described according to the historical behavior number
According to determining that the prediction of air conditioner is included the following steps using the time:
S201:Collect and record in a period of time the time of returning home of the user, the time of getting home of the user, the user
Location information;
S202:According to the time of returning home of the user, get home time and the location information of the user of the user, calculate
Average speed in user's way home;
S203:The real-time positioning information of the user is acquired, and acquires corresponding real-time time;
S204:According to the real-time positioning information, the real-time time, the average speed, predicting for the user is calculated
Family's time;
S205:It is got home the time according to the prediction, determines that the prediction of the air conditioner uses the time.
8. intelligent air conditioner control method according to claim 5, which is characterized in that described to be joined according to the history run
Number, the unlatching operating parameter that the air conditioner is arranged include the following steps:
S41:When acquiring the operating parameter of the air conditioner in a period of time, and acquiring the corresponding operation of the operating parameter
Between;
S42:The operating parameter that the runing time reaches a certain duration is recorded;
S43:The record data are analyzed, the most operating parameter of number of run is denoted as service work parameter;
S44:Set the service work parameter to the unlatching operating parameter of the air conditioner.
9. a kind of intelligent air conditioner, which is characterized in that the intelligent air conditioner includes:
Data acquisition module, the historical operating parameter for historical behavior data and the air conditioner to the air conditioner user
It is acquired, and is recorded;
Analysis module receives the data of data acquisition module record, analyzes the data, and will analysis result into
Row record;
Control module receives the analysis of the analysis module as a result, according to the analysis as a result, judging the unlatching of the air conditioner
The unlatching operating parameter of time and the air conditioner determine the control instruction to air conditioner, and the control instruction are sent out
It send to the air conditioner;
The data acquisition module, the analysis module communicate to connect between the control module.
10. intelligent air conditioner according to claim 9, which is characterized in that the data acquisition module includes:
Behavioral data acquisition module, the behavioral data acquisition module are used to record time of returning home, described of the user
It gets home time, the location information;
Operating parameter acquisition module, the operating parameter acquisition module are used to acquire the operating parameter of the air conditioner;
It is communicated to connect between the operating parameter acquisition module and the behavioral data acquisition module.
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---|---|---|---|---|
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103994558A (en) * | 2014-05-07 | 2014-08-20 | 广东美的制冷设备有限公司 | Air-conditioner control method, intelligent terminal and air-conditioner control system |
CN104633865A (en) * | 2015-02-09 | 2015-05-20 | 广东美的制冷设备有限公司 | Control method and device for air conditioner |
EP2790082A3 (en) * | 2013-04-11 | 2015-07-08 | Honeywell International Inc. | A system and method with geo location triggering automatic action |
CN105202687A (en) * | 2014-06-11 | 2015-12-30 | 广东美的制冷设备有限公司 | Control method and system for air-conditioner, air-conditioner and remote controller |
CN105318499A (en) * | 2015-09-30 | 2016-02-10 | 广东美的制冷设备有限公司 | User behavior self-learning air conditioning system and control method thereof |
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 |
CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | A kind of airconditioning control parameter determination device and method, air-conditioning and server |
CN106440203A (en) * | 2016-09-28 | 2017-02-22 | 四川长虹电器股份有限公司 | Method for pre-appointing starting of intelligent air conditioner |
US20170198933A1 (en) * | 2016-01-12 | 2017-07-13 | Optimum Energy | Predictive free cooling |
CN107429932A (en) * | 2015-03-09 | 2017-12-01 | 大金工业株式会社 | Air conditioning control device |
KR20180040172A (en) * | 2016-10-11 | 2018-04-20 | 엘지전자 주식회사 | Air conditoiner and control metohd thereof |
-
2018
- 2018-07-25 CN CN201810823425.0A patent/CN108917111A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2790082A3 (en) * | 2013-04-11 | 2015-07-08 | Honeywell International Inc. | A system and method with geo location triggering automatic action |
CN103994558A (en) * | 2014-05-07 | 2014-08-20 | 广东美的制冷设备有限公司 | Air-conditioner control method, intelligent terminal and air-conditioner control system |
CN105202687A (en) * | 2014-06-11 | 2015-12-30 | 广东美的制冷设备有限公司 | Control method and system for air-conditioner, air-conditioner and remote controller |
CN104633865A (en) * | 2015-02-09 | 2015-05-20 | 广东美的制冷设备有限公司 | Control method and device for air conditioner |
CN107429932A (en) * | 2015-03-09 | 2017-12-01 | 大金工业株式会社 | Air conditioning control device |
CN105318499A (en) * | 2015-09-30 | 2016-02-10 | 广东美的制冷设备有限公司 | User behavior self-learning air conditioning system and control method thereof |
US20170198933A1 (en) * | 2016-01-12 | 2017-07-13 | Optimum Energy | Predictive free cooling |
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 |
CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | A kind of airconditioning control parameter determination device and method, air-conditioning and server |
CN106440203A (en) * | 2016-09-28 | 2017-02-22 | 四川长虹电器股份有限公司 | Method for pre-appointing starting of intelligent air conditioner |
KR20180040172A (en) * | 2016-10-11 | 2018-04-20 | 엘지전자 주식회사 | Air conditoiner and control metohd thereof |
Non-Patent Citations (1)
Title |
---|
朱佳佳,赵妍: "智能家居", 《物联网的应用与挑战》 * |
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