CN108958046A - A kind of house control system and its control method - Google Patents
A kind of house control system and its control method Download PDFInfo
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- CN108958046A CN108958046A CN201810675681.XA CN201810675681A CN108958046A CN 108958046 A CN108958046 A CN 108958046A CN 201810675681 A CN201810675681 A CN 201810675681A CN 108958046 A CN108958046 A CN 108958046A
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012360 testing method Methods 0.000 claims description 26
- 238000012549 training Methods 0.000 claims description 26
- 230000005484 gravity Effects 0.000 claims description 15
- 238000004140 cleaning Methods 0.000 claims description 14
- 238000003066 decision tree Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 description 88
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 230000009885 systemic effect Effects 0.000 description 2
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- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention belongs to Intelligent housing field, a kind of house control system and its control method are disclosed.In embodiments of the present invention, the user's top n function items of frequency of use sequence from high to low in the home control application program are obtained first, and the M function items that may be used according to user using the historical data supposition user of the home control application program, then the icon of N number of function items and the M function items is arranged in the predeterminated position of the home control application program.The common function of user and the shortcut of function that may be used are placed on the predeterminated position of Application Program Interface by the above method by the present invention, and user needs to avoid cumbersome search operation, promote the usage experience of user in use, click directly on.
Description
Technical field
The invention belongs to Intelligent housing field more particularly to a kind of house control system and its control methods.
Background technique
The development of smart home brings great convenience for people's lives, enriches people's lives, has saved use
The time at family.
But at present in the APP using intelligent home control system in application, more than application operating and complicated, certain functions
The function of finding needs can just be jumped by needing the operation of multilayer, and when pressing return key, when needing certain functions again still
The operation for needing step by step can just jump to the function, and operation is both cumbersome and intermediate many step users do not need at all,
Such experience seriously affects the usage experience that user applies this.
Summary of the invention
The control method for being designed to provide a kind of house control system of the embodiment of the present invention, it is intended to solve current household
The function selection course complexity of control system is cumbersome, the problem of affecting user experience.
In order to solve the above-mentioned technical problem, the present invention is implemented as follows: a kind of control method of house control system, institute
It states house control system to be controlled by corresponding home control application program, the described method comprises the following steps:
The user's top n function items of frequency of use sequence from high to low in the home control application program are obtained,
Wherein, N is positive integer；
The M function that may be used according to user using the historical data supposition user of the home control application program
, wherein M is positive integer；
The default of the home control application program is arranged in the icon of N number of function items and the M function items
Position.
Further, the acquisition user in the home control application program frequency of use sequence from high to low
The step of top n function items, comprising:
User is carried out in the domestic applications program using the target data of each function items according to loss of time function
It calculates, obtains the rate of specific gravity of each function items；
Determine that frequency of use sorts from high to low top n function in the domestic applications program according to the rate of specific gravity
?.
Further, described to speculate that user make using the historical data of the home control application program according to user
The step of M function items, comprising:
Cleaning is acquired using the historical data of the home control application program to user；
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio；
The training set and test set are calculated and verified according to preset algorithm, obtains probabilistic model and cluster mould
Type；
Decision tree is promoted by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that the M that user may use
A function items.
Further, described that the training set and test set are calculated and verified according to preset algorithm, obtain probability
The step of model and Clustering Model, comprising:
Calculate the training set by Bayes formula, obtain the first result set, by first result set and
The test set is simultaneously verified, and aforesaid operations are repeated, debug out optimized parameter, obtains the probabilistic model；
The training set is calculated by two points of cluster formula, the second result set is obtained, passes through second result set and institute
It states test set and is verified, aforesaid operations are repeated, debug out optimized parameter, obtain the Clustering Model.
Further, the icon of N number of function items and the M function items is arranged in the home control application journey
The step of predeterminated position of sequence, comprising:
The predeterminated position of the homepage of the home control application program is divided into two regions；
The shortcut icon of N number of function items is shown in the first area of the predeterminated position；
The shortcut icon of the M function items is shown in the second area of the predeterminated position.
The embodiment of the invention also provides a kind of house control system, the house control system passes through corresponding household control
Application program processed is controlled, and the house control system includes:
Acquiring unit, for obtain user in the home control application program frequency of use sequence from high to low
Top n function items, wherein N is positive integer；
Presumption units, for that may be made according to user using the historical data recommended user of the home control application program
M function items, wherein M is positive integer；
Setting unit is answered for being arranged the icon of N number of function items and the M function items in the home control
With the predeterminated position of program.
Further, the acquiring unit is specifically used for:
User is carried out in the domestic applications program using the target data of each function items according to loss of time function
It calculates, obtains the rate of specific gravity of each function items；
Determine that frequency of use sorts from high to low top n function in the domestic applications program according to the rate of specific gravity
?.
Further, the presumption units are specifically used for:
Cleaning is acquired using the historical data of the home control application program to user；
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio；
The training set and test set are calculated and verified according to preset algorithm, obtains probabilistic model and cluster mould
Type；
Decision tree is promoted by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that the M that user may use
A function items.
Further, the presumption units also particularly useful for:
Calculate the training set by Bayes formula, obtain the first result set, by first result set and
The test set is simultaneously verified, and aforesaid operations are repeated, debug out optimized parameter, obtains the probabilistic model；
The training set is calculated by two points of cluster formula, the second result set is obtained, passes through second result set and institute
It states test set and is verified, aforesaid operations are repeated, debug out optimized parameter, obtain the Clustering Model.
Further, the predeterminated position of the homepage of the home control application program is divided into two regions；
The shortcut icon of N number of function items is shown in the first area of the predeterminated position；
The shortcut icon of the M function items is shown in the second area of the predeterminated position.
In embodiments of the present invention, user's frequency of use in the home control application program is obtained first to sort from height
To the top n function items in low, and speculate that user may using the historical data of the home control application program according to user
Then the icon of N number of function items and the M function items is arranged and answers in the home control by the M function items used
With the predeterminated position of program.The present invention passes through the above method for the shortcut of the common function of user and the function that may be used
It is placed on the predeterminated position of Application Program Interface, user needs to avoid cumbersome search operation in use, click directly on,
Promote the usage experience of user.
Detailed description of the invention
Fig. 1 is the flow chart of the control method of house control system provided in an embodiment of the present invention；
Fig. 2 is the flow chart of the control method for the house control system that first embodiment of the invention provides；
Fig. 3 is the flow chart of the control method for the house control system that second embodiment of the invention provides；
Fig. 4 is the flow chart of the control method for the house control system that third embodiment of the invention provides；
Fig. 5 is the circuit theory schematic diagram of house control system provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Specific implementation of the invention is described in detail below in conjunction with specific embodiment:
Fig. 1 shows the flow chart of the control method of house control system provided in an embodiment of the present invention, for the ease of saying
It is bright, part related to the embodiment of the present invention is only listed, details are as follows:
The embodiment of the invention provides a kind of control method of house control system, which passes through corresponding
Home control application program (i.e. app) is controlled, and the described method comprises the following steps:
Step S10 obtains the user's top n of frequency of use sequence from high to low in the home control application program
Function items, wherein N is positive integer.
In embodiments of the present invention, fast operating is carried out to the function being commonly used in order to facilitate user, it is necessary first to obtain
Take the family top n function items of frequency of use sequence from high to low in the home control application program.Specifically, according to
Loss of time function (log logarithm loss function) uses in the domestic applications program user the target data of each function items
It is calculated, obtaining the rates of specific gravity of each function items, (loss of time is longer, shows that the rate of specific gravity of corresponding function items is lower；
The loss of time is shorter, shows that the rate of specific gravity of corresponding function items is higher), the domestic applications are then determined according to the rate of specific gravity
Top n function items of the frequency of use sequence from high to low (rate of specific gravity from high to low) in program.Wherein, target data includes but not
It is limited to be access times, the time duration of each function items etc. data.As a preferred embodiment of the present invention, the numerical value of N is 4.
Step S20, the M that may be used according to user using the historical data supposition user of the home control application program
A function items, wherein M is positive integer；
In embodiments of the present invention, not only need to obtain user in the sequence of different time sections frequency of use from high to low
Top n function, also to speculate in user may M function to be used.
The icon of N number of function items and the M function items is arranged in the home control application journey step S30
The predeterminated position of sequence.
In the present invention is implemented, the M function items that obtains N number of frequency of use function items from high to low and may use
Afterwards, the icon of N number of function items and the M function items will be arranged in the default position of the home control application program
It sets, is convenient for user's selection operation, promotes the convenience of operation.
Embodiment one
Fig. 2 shows the flow charts of the control method of the house control system of first embodiment of the invention offer, in order to just
In explanation, part related to the embodiment of the present invention is only listed, details are as follows:
As a preferred embodiment of the present invention, step S20 includes:
Step S201 is acquired cleaning using the historical data of the home control application program to user.
Specifically, the data such as time, operational motion, equipment state, subscriber identity data of acquisition user's operation APP, and
These data are arranged with different labels, identity property field, operating time, mode of operation, the operation interface APP, interface are pressed
Button, interface stay time, device type etc. can also include room where equipment, device activation date, equipment state ginseng
Number, user id, user location (save, city, area), and the process of identity property field is to be converted into the form that can be used for machine learning,
Time dimension (section) can set half an hour as a unit, needed according to user or data that systemic presupposition selection needs into
Row brush choosing cleaning, obtains target data.
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio by step S202.At this
In inventive embodiments, it is preferred that the preset ratio of training set and test set is 7:3.
Step S203 is calculated and is verified to the training set and test set according to preset algorithm, obtains probabilistic model
And Clustering Model；
Step S204 promotes decision tree by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that Yong Huke
The M function items that can be used.
In embodiments of the present invention, it calculates and verifies by the cleaning to historical data, thus it is speculated that go out the M that user may use
A function items are more in line with the use habit of user, promote the usage experience of user.
Embodiment two
Fig. 3 shows the flow chart of the control method of the house control system of second embodiment of the invention offer, in order to
Convenient for explanation, part related to the embodiment of the present invention is only listed, details are as follows:
It should be noted that the embodiment of the present invention two based on the above embodiment one, specifically, step S203, comprising:
Step S2031 calculates the instruction by Bayes formula (Naive Bayesian classification)
Practice collection, obtains the first result set, by first result set and the test set and verified, above-mentioned behaviour is repeated
Make, debugs out optimized parameter, obtain the probabilistic model；
Specifically, bringing formula NaiveBayes (Am) (wherein m is training set) by Bayesian probability (formula 1) and obtaining
To the probability size of a variety of labels of the user, i.e. the first result set.Test set is substituted by calculated model, is verified,
Aforesaid operations are repeated, debug out optimized parameter, obtain probabilistic model Model (A).
Wherein, P (A) indicates prior probability, shows that the probability size that A event occurs occurs, and P (A | B) indicates posterior probability,
Show the probability size that A event occurs in the case where B event occurs, ∑ nj indicates to sum to all values of j to n.
Step S2032 calculates the training set by two points of cluster formula (bisecting K-means) and obtains the second knot
Fruit collection, by second result set and the test set and is verified, aforesaid operations is repeated, debug out optimal ginseng
Number, obtains the Clustering Model.
Specifically, substituting into formula BisectingKMeans (Am), (wherein m is trained by two points of K-means (formula 2)
Collection), obtain Clustering Model, i.e. the second result set, test set brought by calculated Clustering Model, is verified, repeatedly into
Row aforesaid operations, debug out optimized parameter, obtain Clustering Model Model (B).
Wherein, Euclidean distance is to judge the calculation method of distance between vector, and formula indicates 2 vector a in n-dimensional space
The distance of=(x1, x2 ... xn), b=(y1, y2 ... yn), the bigger similarity of distance is smaller, and the about small similarity of distance is bigger.
Embodiment three
Fig. 4 shows the flow chart of the control method of the house control system of third embodiment of the invention offer, in order to
Convenient for explanation, part related to the embodiment of the present invention is only listed, details are as follows:
As a preferred embodiment of the present invention, step S30 includes:
The predeterminated position of the homepage of the home control application program is divided into two regions by step S301；
Step S302 shows the shortcut icon of N number of function items in the first area of the predeterminated position；
Step S303 shows the shortcut icon of the M function items in the second area of the predeterminated position.
Specifically, by the predeterminated position of the homepage of home control application program, (obvious position, is directly grasped convenient for user
Make) be divided into two regions, can above up and down two regions, be also possible to left and right two regions, specifically according to user selection set
It sets or systemic presupposition, the shortcut icon of N number of function items is shown in the first area of the predeterminated position, described
The second area of predeterminated position shows the shortcut icon of the M function items.
In embodiments of the present invention, user's frequency of use in the home control application program is obtained first to sort from height
To the top n function items in low, and speculate that user may using the historical data of the home control application program according to user
Then the icon of N number of function items and the M function items is arranged and answers in the home control by the M function items used
With the predeterminated position of program.The present invention passes through the above method for the shortcut of the common function of user and the function that may be used
It is placed on the predeterminated position of Application Program Interface, user needs to avoid cumbersome search operation in use, click directly on,
Promote the usage experience of user.
Fig. 5 shows the circuit theory schematic diagram of house control system provided in an embodiment of the present invention, for ease of description,
Part related to the embodiment of the present invention is only listed, details are as follows:
The embodiment of the invention provides a kind of house control system, which passes through corresponding household control
Application program processed is controlled, and the house control system includes: acquiring unit 100, presumption units 200 and setting unit
300；
Acquiring unit 100 sorts for obtaining user's frequency of use in the home control application program from high to low
In top n function items, wherein N is positive integer；Presumption units 200, for using the home control application journey according to user
The M function items that the historical data recommended user of sequence may use, wherein M is positive integer；Setting unit 300, being used for will be described
The predeterminated position of the home control application program is arranged in the icon of N number of function items and the M function items.
As a preferred embodiment of the present invention, acquiring unit 100 is specifically used for:
User is carried out in the domestic applications program using the target data of each function items according to loss of time function
It calculates, obtains the rate of specific gravity of each function items；
Determine that frequency of use sorts from high to low top n function in the domestic applications program according to the rate of specific gravity
?.
As a preferred embodiment of the present invention, presumption units 200 are specifically used for:
Cleaning is acquired using the historical data of the home control application program to user；
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio；
The training set and test set are calculated and verified according to preset algorithm, obtains probabilistic model and cluster mould
Type；
Decision tree is promoted by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that the M that user may use
A function items.
As a preferred embodiment of the present invention, presumption units 200 also particularly useful for:
The test set is calculated by Bayes formula and is verified, and aforesaid operations are repeated, debug out most
Excellent parameter obtains the probabilistic model；
The training set is calculated by two points of cluster formula and is verified, and aforesaid operations are repeated, debug out optimal
Parameter obtains the Clustering Model.
As a preferred embodiment of the present invention, setting unit 300 is specifically used for:
The predeterminated position of the homepage of the home control application program is divided into two regions；
The shortcut icon of N number of function items is shown in the first area of the predeterminated position；
The shortcut icon of the M function items is shown in the second area of the predeterminated position.
It should be noted that the embodiment of the present invention is corresponding with the embodiment of the control method of above-mentioned house control system,
Working principle and mode are corresponding applicable, just repeat no more here.
In embodiments of the present invention, user's frequency of use in the home control application program is obtained first to sort from height
To the top n function items in low, and speculate that user may using the historical data of the home control application program according to user
Then the icon of N number of function items and the M function items is arranged and answers in the home control by the M function items used
With the predeterminated position of program.The present invention passes through the above method for the shortcut of the common function of user and the function that may be used
It is placed on the predeterminated position of Application Program Interface, user needs to avoid cumbersome search operation in use, click directly on,
Promote the usage experience of user.
It will be appreciated by those skilled in the art that only being carried out according to function logic for each unit that above-described embodiment includes
It divides, but is not limited to the above division, as long as corresponding functions can be realized；In addition, the tool of each functional unit
Body title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
Those of ordinary skill in the art be further appreciated that implement the method for the above embodiments be can
It is completed with instructing relevant hardware by program, the program can be stored in a computer-readable storage medium
In, described storage medium, including ROM/RAM, disk, CD etc..
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
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of control method of house control system, which is characterized in that the house control system passes through corresponding household control
Application program processed is controlled, and the described method comprises the following steps:
Obtain the user's top n function items of frequency of use sequence from high to low in the home control application program, wherein
N is positive integer；
M function items may using of user are speculated using the historical data of the home control application program according to user,
In, M is positive integer；
The icon of N number of function items and the M function items is arranged in the predeterminated position of the home control application program.
2. the control method of house control system according to claim 1, which is characterized in that the acquisition user is described
In home control application program the step of top n function items of the frequency of use sequence from high to low, comprising:
User is calculated in the domestic applications program using the target data of each function items according to loss of time function,
Obtain the rate of specific gravity of each function items；
Determine that frequency of use sorts from high to low top n function items in the domestic applications program according to the rate of specific gravity.
3. the control method of house control system according to claim 1, which is characterized in that described to use institute according to user
State home control application program historical data speculate user may use M function items the step of, comprising:
Cleaning is acquired using the historical data of the home control application program to user；
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio；
The training set and test set are calculated and verified according to preset algorithm, obtains probabilistic model and Clustering Model；
Decision tree is promoted by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that the M function that user may use
It can item.
4. the control method of house control system according to claim 3, which is characterized in that described according to preset algorithm pair
The step of training set and test set are calculated and are verified, and probabilistic model and Clustering Model are obtained, comprising:
The training set is calculated by Bayes formula, obtains the first result set, by first result set and described
Test set is simultaneously verified, and aforesaid operations are repeated, debug out optimized parameter, obtains the probabilistic model；
The training set is calculated by two points of cluster formula, the second result set is obtained, passes through second result set and the survey
Examination collects and is verified, and aforesaid operations are repeated, debug out optimized parameter, obtain the Clustering Model.
5. the control method of house control system according to claim 1, which is characterized in that by N number of function items and
The step of predeterminated position of the home control application program is arranged in the icon of the M function items, comprising:
The predeterminated position of the homepage of the home control application program is divided into two regions；
The shortcut icon of N number of function items is shown in the first area of the predeterminated position；
The shortcut icon of the M function items is shown in the second area of the predeterminated position.
6. a kind of house control system, which is characterized in that the house control system passes through corresponding home control application program
It is controlled, the house control system includes:
Acquiring unit, for obtaining the user preceding N of frequency of use sequence from high to low in the home control application program
A function items, wherein N is positive integer；
Presumption units, for what may be used according to user using the historical data recommended user of the home control application program
M function items, wherein M is positive integer；
Setting unit, for being arranged the icon of N number of function items and the M function items in the home control application journey
The predeterminated position of sequence.
7. house control system according to claim 6, which is characterized in that the acquiring unit is specifically used for:
User is calculated in the domestic applications program using the target data of each function items according to loss of time function,
Obtain the rate of specific gravity of each function items；
Determine that frequency of use sorts from high to low top n function items in the domestic applications program according to the rate of specific gravity.
8. house control system according to claim 6, which is characterized in that the presumption units are specifically used for:
Cleaning is acquired using the historical data of the home control application program to user；
The historical data for being acquired cleaning is divided into training set and test set according to preset ratio；
The training set and test set are calculated and verified according to preset algorithm, obtains probabilistic model and Clustering Model；
Decision tree is promoted by gradient and integrates the probabilistic model and the Clustering Model, thus it is speculated that the M function that user may use
It can item.
9. the control method of house control system according to claim 8, which is characterized in that the presumption units are also specific
For:
The training set is calculated by Bayes formula, obtains the first result set, by first result set and described
Test set is simultaneously verified, and aforesaid operations are repeated, debug out optimized parameter, obtains the probabilistic model；
The training set is calculated by two points of cluster formula, the second result set is obtained, passes through second result set and the survey
Examination collects and is verified, and aforesaid operations are repeated, debug out optimized parameter, obtain the Clustering Model.
10. house control system according to claim 6, which is characterized in that the setting unit is specifically used for:
The predeterminated position of the homepage of the home control application program is divided into two regions；
The shortcut icon of N number of function items is shown in the first area of the predeterminated position；
The shortcut icon of the M function items is shown in the second area of the predeterminated position.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109710134A (en) * | 2018-12-29 | 2019-05-03 | 联想(北京)有限公司 | A kind of display methods and electronic equipment |
| CN109991868A (en) * | 2019-04-18 | 2019-07-09 | 珠海格力电器股份有限公司 | household appliance control method and device |
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| CN109991868A (en) * | 2019-04-18 | 2019-07-09 | 珠海格力电器股份有限公司 | household appliance control method and device |
| CN109991868B (en) * | 2019-04-18 | 2020-11-20 | 珠海格力电器股份有限公司 | Household appliance control method and device |
| CN111443849A (en) * | 2020-04-15 | 2020-07-24 | 中国银行股份有限公司 | Transaction menu generation method, device, readable medium and equipment |
| CN114675551A (en) * | 2022-02-23 | 2022-06-28 | 青岛海尔科技有限公司 | Method and device for determining operation behavior, storage medium and electronic device |
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