CN107883535A - Air conditioner control method and device - Google Patents
Air conditioner control method and device Download PDFInfo
- Publication number
- CN107883535A CN107883535A CN201711003540.5A CN201711003540A CN107883535A CN 107883535 A CN107883535 A CN 107883535A CN 201711003540 A CN201711003540 A CN 201711003540A CN 107883535 A CN107883535 A CN 107883535A
- Authority
- CN
- China
- Prior art keywords
- air
- conditioning
- user activity
- user
- activity information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000000694 effects Effects 0.000 claims abstract description 179
- 230000008569 process Effects 0.000 claims abstract description 18
- 238000004378 air conditioning Methods 0.000 claims description 207
- 238000012545 processing Methods 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 17
- 241000208340 Araliaceae Species 0.000 claims description 9
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 9
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 9
- 235000008434 ginseng Nutrition 0.000 claims description 9
- 238000010801 machine learning Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 abstract description 13
- 230000009471 action Effects 0.000 description 16
- 238000004458 analytical method Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 8
- 210000002569 neuron Anatomy 0.000 description 6
- 238000012549 training Methods 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 3
- 238000012937 correction Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 241000700647 Variola virus Species 0.000 description 1
- 230000004308 accommodation Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000036413 temperature sense Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an air conditioner control method and device. Wherein, the method comprises the following steps: acquiring historical operating parameters of the air conditioner and user activity information, wherein the historical operating parameters are related parameters of the air conditioner in the historical process, and the user activity information is related information of the user in motion; judging whether the operation parameters of the air conditioner need to be adjusted or not according to the user activity information and the historical operation parameters; when the operating parameters of the air conditioner need to be adjusted are judged, determining load adjustment parameters for adjusting the air conditioner; and according to the load adjustment parameters of the air conditioner, acquiring current air conditioner operation parameters corresponding to the user activity information so as to control the operation of the air conditioner. The invention solves the technical problems that the air conditioner cannot adjust the output parameters in time and the user experience is low in the related art because the temperature sensing device in the air conditioner cannot detect the change of the temperature in the environment in time.
Description
Technical field
The present invention relates to air conditioner controlling technology field, in particular to a kind of air conditioning control method and device.
Background technology
In correlation technique, the control for air-conditioning, indoor and outdoor temperature is usually sensed according to temperature sense bag, so as to adjust
The ability output of air-conditioning, wherein, air conditioning capacity output can be understood as compressor output size, for example, working as indoor environment temperature
During reduction, ability output reduces, and compressor output reduces；When indoor environment temperature raises, ability output increases, and compressor is defeated
Go out increase.It is currently employed according to technical scheme of the indoor and outdoor surroundingses temperature as detection judgement exporting change, due to sense
Thermometer bulb temperature sensor needs to be delayed, and tends not to sense the change of temperature in time, and indoor load change transitions are environment temperature
Change need a period of time, when causing air-conditioning system not change in time to personnel ability need be adjusted, influenceing personnel makes
Use comfortableness.
For in above-mentioned correlation technique because the temperature sensing device in air-conditioning can not detect in environment that temperature occurs in time
Change, cause air-conditioning to adjust output parameter in time, the relatively low technical problem of user experience, not yet propose at present effective
Solution.
The content of the invention
The embodiments of the invention provide a kind of air conditioning control method and device, at least to solve in correlation technique due to air-conditioning
In temperature sensing device can not detect that temperature changes in environment in time, cause air-conditioning to adjust output parameter in time, use
The relatively low technical problem of family Experience Degree.
One side according to embodiments of the present invention, there is provided a kind of air conditioning control method, including：Obtain the history of air-conditioning
Operational factor and user activity information, wherein, the historical operating parameter be historical process in operation of air conditioner relevant parameter, institute
It is the relevant information that user is moved to state user activity information；Joined according to the user activity information and the history run
Number, judges whether to need the operational factor for adjusting the air-conditioning；When judging to need to adjust the operational factor of the air-conditioning, really
The fixed load adjustment parameter being adjusted to the air-conditioning；According to the load adjustment parameter of the air-conditioning, obtain and the user
The corresponding current air conditioner operation parameters of action message, to control the operation of air conditioner.
Further, the historical operating parameter and user activity information for obtaining air-conditioning include：Obtained by default processing module
The parameter that air-conditioning is run in historical process is got, to obtain the historical operating parameter；Control is arranged on taking the photograph around air-conditioning
As head is taken pictures to obtain area image to predeterminable area；The area image is identified to obtain the User Activity
Information.
Further, the area image is identified is included with obtaining user activity information：By the area image
To obtain the user activity information in inputting into preset model, wherein, the preset model is more according to getting in advance
The area image of group predeterminable area and the corresponding relation of user activity information train to obtain model by machine learning.
Further, the user activity information comprises at least following information：Type, number of users, the use of user object
Family activity, wherein, if the historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's class
Type is to exceed the user type at default age the age, and according to the user activity information and the historical operating parameter, judgement is
The no operational factor for needing to adjust the air-conditioning includes：Whether the type for judging the user object is targeted customer's type；
In the case that the type for judging the user object is targeted customer's type, it is determined that the operation ginseng of air-conditioning need not be adjusted
Number；In the case where the type for judging the user object is not targeted customer's type, it is determined that needing to adjust the air-conditioning
Operational factor.
Further, if the historical operating parameter is operational factor corresponding with targeted customer's quantity, the target is used
Amount amount is the number of users beyond predetermined threshold value, and according to the user activity information and the historical operating parameter, judgement is
The no operational factor for needing to adjust the air-conditioning includes：Judge whether the number of users is targeted customer's quantity；Judging
In the case that the number of users is targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted；Described in judging
In the case that number of users is not targeted customer's quantity, it is determined that needing to adjust the operational factor of the air-conditioning.
Further, if the historical operating parameter is operational factor corresponding with goal activities amount, the goal activities
Amount, according to the user activity information and the historical operating parameter, judges whether beyond the User Activity amount of default activity
The operational factor for needing to adjust the air-conditioning includes：Judge whether the User Activity amount is goal activities amount；Judging
In the case of stating User Activity amount and being goal activities amount, it is determined that needing to adjust the operational factor of the air-conditioning；Described in judging
In the case that number of users is not targeted customer's quantity, it is determined that the operational factor of the air-conditioning need not be adjusted.
Another aspect according to embodiments of the present invention, a kind of air conditioning control device is additionally provided, including：First obtains list
Member, for obtaining the historical operating parameter and user activity information of air-conditioning, wherein, the historical operating parameter is in historical process
The relevant parameter of operation of air conditioner, the user activity information are the relevant information that user is moved；Judging unit, for basis
The user activity information and the historical operating parameter, judge whether to need the operational factor for adjusting the air-conditioning；It is it is determined that single
Member, for when judging to need to adjust the operational factor of the air-conditioning, it is determined that the load adjustment being adjusted to the air-conditioning
Parameter；Second acquisition unit, for the load adjustment parameter according to the air-conditioning, obtain corresponding with the user activity information
Current air conditioner operation parameters, to control the operation of air conditioner.
Further, the first acquisition unit includes：Acquisition module, for getting air-conditioning by default processing module
The parameter run in historical process, to obtain the historical operating parameter；Taking module, it is arranged on for controlling around air-conditioning
Camera predeterminable area is taken pictures to obtain area image；Identification module, for the area image to be identified
To obtain the user activity information.
Further, the identification module includes：Input submodule, for the area image to be inputted into preset model
In to obtain the user activity information, wherein, the preset model is according to the area of multigroup predeterminable area got in advance
Area image and the corresponding relation of user activity information train to obtain model by machine learning.
Further, the user activity information comprises at least following information：Type, number of users, the use of user object
Family activity, wherein, if the historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's class
Type is to exceed the user type at default age the age, and the judging unit includes：First judge module, for judging the user
Whether the type of object is targeted customer's type；First determining module, for judging that the type of the user object is institute
In the case of stating targeted customer's type, it is determined that the operational factor of air-conditioning need not be adjusted；Second determining module, for judging
In the case that the type of the user object is not targeted customer's type, it is determined that needing to adjust the operational factor of the air-conditioning.
Further, if the historical operating parameter is operational factor corresponding with targeted customer's quantity, the target is used
Amount amount is the number of users beyond predetermined threshold value, and the judging unit also includes：Second judge module, for judging the use
Whether amount amount is targeted customer's quantity；3rd determining module, for judging that the number of users is targeted customer's quantity
In the case of, it is determined that the operational factor of air-conditioning need not be adjusted；4th determining module, for judging the number of users not
In the case of being targeted customer's quantity, it is determined that needing to adjust the operational factor of the air-conditioning.
Further, if the historical operating parameter is operational factor corresponding with goal activities amount, the goal activities
Amount includes beyond the User Activity amount for presetting activity, the judging unit：3rd judge module, for judging that the user lives
Whether momentum is goal activities amount；5th determining module, for judging that the User Activity amount is the feelings of goal activities amount
Under condition, it is determined that needing to adjust the operational factor of the air-conditioning；6th determining module, for judging that the number of users is not
In the case of targeted customer's quantity, it is determined that the operational factor of the air-conditioning need not be adjusted.
Another aspect according to embodiments of the present invention, additionally provides a kind of storage medium, and the storage medium includes storage
Program, wherein, equipment where the storage medium is controlled when described program is run performs the sky described in above-mentioned any one
Control method.
Another aspect according to embodiments of the present invention, a kind of processor being additionally provided, the processor is used for operation program,
Wherein, the air conditioning control method described in above-mentioned any one is performed when described program is run.
In embodiments of the present invention, the historical operating parameter and user activity information of air-conditioning can be first obtained, according to user
Action message judges whether to need the operational factor for adjusting air-conditioning, when judging to need to adjust the operational factor of air-conditioning, it is determined that
The load adjustment parameter being adjusted to air-conditioning, finally according to the load adjustment parameter, obtain corresponding with user activity information
Current air conditioner operation parameters, so as to flexibly control air-conditioning operation.In this embodiment, air-conditioning can be believed according to User Activity
Breath, the operation of air-conditioning is adjusted flexibly, solves in correlation technique because the temperature sensing device in air-conditioning can not be detected in environment in time
Temperature changes, and causes air-conditioning to adjust output parameter, the relatively low technical problem of user experience in time.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of air conditioning control method according to embodiments of the present invention；
Fig. 2 is the schematic diagram of air conditioning control device according to embodiments of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so use
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or
Order beyond those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
The present invention is understood for the convenience of the user, and the part term or noun that are related in the present invention are explained below：
Pixel：It is the least unit that can be shown on computer screen, for representing the unit of image, referring to show
Horizontal and vertical pixel array, the pixel in screen is more, and the resolution ratio of picture is higher, and image is more fine and smooth true to nature.
Pixel：Refer to the numerical value of pixel.
CNN, convolutional neural networks describe the operation to input picture, export one group of classification for describing picture material or
The probability of classification, i.e., the image of input is identified, with the probability of the object in output image；Pass through a series of convolution levels
More abstract concept is built up, including establishes multiple neurons, and input layer and output layer corresponding to foundation, so as to input
Node constantly associated by neuron, obtain optimization object, typically can include convolutional layer, filter layer, pass through forward conduction, damage
Lose function, backward conduction and function renewal and be used as a learning cycle, to each training picture, program will repeat fixed number
Purpose periodic process, to continue to optimize training learning outcome.
To scheme to search figure, after image is got, result is ranked up by deep learning, and pass through user record three
Tuple data (inquiry picture, click on picture and do not click on picture) carrys out the sequence loss function of training pattern, so as to be sorted
As a result, after an image is inputted, model meeting automatic detection goes out main body, then according to ranking score height discharge related object
As a result.
Binaryzation：To the picture of camera shooting, most of is coloured image, and coloured image information contained amount is huge, right
In the content of picture, can simply be divided into prospect and background, first cromogram is handled, make picture only have foreground information with
Background information, it is black that can simply define foreground information, and background information is white, and here it is binary picture.
According to embodiments of the present invention, there is provided a kind of embodiment of the method for airconditioning control is, it is necessary to illustrate, in accompanying drawing
The step of flow illustrates can perform in the computer system of such as one group computer executable instructions, although also,
Logical order is shown in flow chart, but in some cases, can be to perform shown different from order herein or retouch
The step of stating.
Following examples can apply in various electric equipments, not limited for the type of electric equipment, including but
It is not limited to：Washing machine, air-conditioning, refrigerator, electric cooker etc., in the application by taking air-conditioning as an example, the present invention is explained.
In following embodiments, go for various air-conditioning equipments, wherein, the type in the present invention for air-conditioning does not limit
Fixed, it can include but is not limited to：Wall hanging air conditioner, floor standing air-conditioner, smallpox air conditioner, window machine, movable air conditioner, embedded sky
Adjust.Wherein, there are multiple parts in washing machine, mainly including water pump, blower fan and pipe-line system, it can specifically include：Compressor,
Condenser, evaporator, four-way valve, check valve capillary module.In correlation technique, the use for air-conditioning, usually according to
The operation of air conditioner temperature that family is set, with reference to temperature outside current indoor, indoor temperature and humidity parameter is adjusted, but this side
Formula, operational factor can not be adjusted flexibly according to the type, indoor occupant quantity, the manner of indoor occupant of indoor occupant, and
In the present invention, the operational factor of air-conditioning can be adjusted according to the action message of user, and can be in time according to current indoor personnel's number
The change of amount, indoor temperature is adjusted, predeterminable area can be taken pictures in the present invention, can be with when it is determined that having users
The active state of personnel in the graphical analysis room obtained according to shooting, according to number of users and the type of user, accommodation
The operational factor of air-conditioning.
Wherein, present invention could apply in various environment, can include but is not limited to：Family, Office Area, basement
, so as to analysis of user activities information, communication module can be passed through in real time according to default camera shooting image Deng, air-conditioning, will
Analysis result is transferred to air-conditioning, to allow air-conditioning that the method for operation of air-conditioning is adjusted flexibly according to user activity information.
With reference to preferable implementation steps, the present invention will be described, and Fig. 1 is air-conditioning control according to embodiments of the present invention
The flow chart of method processed, as shown in figure 1, this method comprises the following steps：
Step S102, the historical operating parameter and user activity information of air-conditioning are obtained, wherein, historical operating parameter is history
During operation of air conditioner relevant parameter, user activity information is the relevant information moved of user.
Wherein, the air-conditioning in the present invention can be domestic air conditioning or office air-conditioning, by taking domestic air conditioning as an example, in family
In each room, bedroom, kitchen, parlor etc. corresponding air-conditioning is installed, during operation of air conditioner, can constantly adjust
The operational factor of whole air-conditioning.By the acquisition to historical operating parameter, with reference to the other users information got, adjusting parameter.
Air-conditioning historical operating parameter in the present invention can include but is not limited to：Air-conditioning operation starting time, air-conditioning initial setting up are warm and humid
Degrees of data, air conditioner wind speed.Wherein, when obtaining the operational factor of air-conditioning, the environment of air-conditioning region can also be detected simultaneously
Humiture parameter etc. inside and outside information, including sensing chamber, thus can be warm and humid by historical operating parameter and the indoor and outdoor detected
Degree parameter compares, the reference data as adjustment air conditioner operation parameters.Historical operating parameter can be with obtaining time point phase
Operation of air conditioner data in the adjacent period, for example, 9 points to 10 air conditioner operation parameters of the morning can be obtained at 10 in the morning.
The region that each air-conditioning is adjusted can be different, for example, air-conditioning A adjusts bedroom 1, air-conditioning B adjusts bedroom 2,
Air-conditioning C adjusts parlor, and room is tempered in air-conditioning D regulations.Each air-conditioning can be thus allowed to adjust the ambient parameter of corresponding region,
To ensure the stability of regulation.For the air-conditioning of different using areas in the present invention, specific limit is not done to the place to use of air-conditioning
It is fixed, for example, parlor, bedroom, office, meeting room etc..
In addition, the specifying information in the present invention for user does not limit, user, can be according to itself before using air-conditioning
Sensation set air-conditioning initial operational parameter, during operation of air conditioner, can be according to user set air-conditioning it is initial
Operational factor adjusts.User may have different manners in each different region, for example, can deposit in the family
：See that TV, basis temper (including push-up, sit-ups, indoor set run etc.), the activity such as cook, can be deposited in office
：Office, exercise etc., different manners can have different activities, can be deposited in advance in the database of air-conditioning connection
Activity corresponding to various activities is stored up, and determines the grade of activity.
Wherein, above-mentioned steps S102 can include：Air-conditioning is got by default processing module in historical process to run
Parameter, to obtain historical operating parameter；The camera being arranged on around air-conditioning is controlled to be taken pictures to predeterminable area to obtain
Area image；Area image is identified to obtain user activity information.
For above-mentioned embodiment, default processing module can be connected with the control centre of air-conditioning, so as to get air-conditioning
Historical operating parameter.In addition, the present invention can set corresponding camera with shooting image around air-conditioning, camera can be with
Networked with air-conditioning, so that after shooting obtains image, the image that shooting obtains can be sent into the storage device where air-conditioning,
So as to allow air-conditioning to analyze shooting image., can be with reference to the image in each region to the user where region in same room with them
Action message is analyzed.In shooting image, user object can be taken pictures with emphasis, obtain the user object in room
Action message.The classification of the present invention of image in to(for) shooting does not limit, and includes but is not limited to：Black white image (gray-scale map
Picture), coloured image (RGB image).
Optionally, when being identified area image to obtain user activity information, can include：Area image is defeated
To obtain user activity information in entering into preset model, wherein, preset model is according to the multigroup predeterminable area got in advance
Area image and the corresponding relation of user activity information train to obtain model by machine learning.Wherein it is possible to pass through machine
The model that learning training obtains determines user activity information, emphasis can analyze people information in region, number of person,
Character activities type, character activities amount etc., the model can by the image shot in historical process, identify area image and
The corresponding relation of user activity information.Alternatively, it is also possible to establish neuron by CNN algorithms, each neuron can have correspondingly
Learning function, be trained with the image to input, so as to establish the pass between multiple images feature and user activity information
Connection relation, each image can be corresponding with a neuron, and neuron is divided into multilayer, and every layer of operation function can be consistent
, it can thus analyze the relation of area image and user activity information.Determining the area image pair of this shooting
After the user activity information answered, the image of this shooting can be stored in database, in case next time relatively uses, it is so logical
Continuous learning training is crossed, the learning functionality of machine can be utilized constantly to strengthen the degree of accuracy of analytical effect and analysis.
Optionally, it is above-mentioned when identification region image is to obtain user activity information, can also by with scheme to search figure or
The mode of binary conversion treatment handles image, to obtain user activity information, wherein, can be in number when use is to scheme to search figure
According to the image similarity highest image that search photographs with this time in storehouse, can be stored in database and the similarity highest
The action message of user corresponding to image, the action message using the action message as user corresponding to the image that this shoots.
When carrying out binary conversion treatment, can the information of notable difference in selective analysis image and history shooting image be present, for example,
A user is had more in image, significantly can be distinguished by image.
In addition, in analysis of user activities information, user activity information comprises at least following information：The class of user object
Type, number of users, User Activity amount, wherein, the type of user object can be distinguished as three classes, can include but unlimited
In：Child, young people, old man, it is determined that user object type when, can store each user couple in database in advance
The image information answered, with the matching database after image is got, Direct Analysis go out predeterminable area user or according to
The essential characteristic of user, analyzes the type of user object, and essential characteristic can include but is not limited to：Face feature, height, build
Deng can directly determine the type of user object by the analysis to essential characteristic., can be direct when analyzing number of users
By the binary conversion treatment of image, number of users is obtained, for example, a young people, two children etc..For User Activity amount,
It can be by continuously shot images, analyze the current manner of user, for example, just run in treadmill etc., so that it is determined that
Go out the action message of user.
Step S104, according to user activity information and historical operating parameter, judge whether to need the operation ginseng for adjusting air-conditioning
Number.
Wherein, if historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's type is the age
Beyond the user type at default age, according to user activity information and historical operating parameter, judge whether to need to adjust air-conditioning
Operational factor includes：Whether the type for judging user object is targeted customer's type；Judging that the type of user object is mesh
In the case of marking user type, it is determined that the operational factor of air-conditioning need not be adjusted；Judging that the type of user object is not mesh
In the case of marking user type, it is determined that needing to adjust the operational factor of air-conditioning.
Wherein, the default age in above-mentioned embodiment can pre-set, for example, 15 years old, 11 years old.Analyzing
When or according to the height of user object determine.
In addition, if historical operating parameter is operational factor corresponding with targeted customer's quantity, targeted customer's quantity be beyond
The number of users of predetermined threshold value, according to user activity information and historical operating parameter, judge whether to need the operation for adjusting air-conditioning
Parameter includes：Judge whether number of users is targeted customer's quantity；Judging that number of users is the situation of targeted customer's quantity
Under, it is determined that the operational factor of air-conditioning need not be adjusted；In the case where judging that number of users is not targeted customer's quantity, it is determined that
Need the operational factor of adjustment air-conditioning.
Wherein, above-mentioned predetermined threshold value can be adjusted according to the region area and air conditioner load parameter of air-conditioning adjustment
, for example, 1,3 etc..
If being operational factor corresponding with goal activities amount for historical operating parameter, goal activities amount is beyond default activity
The User Activity amount of amount, according to user activity information and historical operating parameter, judge whether to need the operational factor for adjusting air-conditioning
Including：Judge whether User Activity amount is goal activities amount；In the case where judging that User Activity amount is goal activities amount, really
Surely the operational factor of adjustment air-conditioning is needed；In the case where judging that number of users is not targeted customer's quantity, it is determined that need not
Adjust the operational factor of air-conditioning.
Wherein, above-mentioned default activity can be according to different manners, it is determined that corresponding default activity, example
Such as, when running on a treadmill, default activity can run 2000 steps.
Step S106, when judging to need to adjust the operational factor of air-conditioning, it is determined that the load being adjusted to air-conditioning is adjusted
Whole parameter.
Optionally, can be lived according to the type of user object, number of users, user it is determined that during load adjustment parameter
The determinations such as momentum, for example, when determining load adjustment parameter according to the type of user object, if historical operating parameter be for
The type of user object is young people, number of users 1, User Activity amount are small amount of exercise (without departing from default activity), this
When, it is unchanged in the user activity information for detecting current preset region, then it can not change air conditioner operation parameters；Detecting use
When the type of family object is changed into child from young people, load operation parameter can be turned down and (such as turn down air-supply shelves), prevent temperature mistake
The low situation for causing child to catch a cold occurs；(3 people are such as changed into from 1 people) when detecting number of users increase, load operation
Parameter can be heightened (for example, indoor set EXV valves are opened greatly)；It is changed into transporting greatly from small amount of exercise in the activity for detecting user object
Momentum, load operation parameter can be heightened (such as indoor set EXV valves are opened greatly), and the adjustment of every kind of load operation parameter can root
Change in real time according to different user activity informations.
Step S108, according to the load adjustment parameter of air-conditioning, obtain the current air-conditioning fortune corresponding with user activity information
Row parameter, to control operation of air conditioner.
For example, detecting number of users 3 people of increase, it is necessary to indoor valve in load operation parameter be heightened, to turn down room
Interior temperature.
By above-mentioned steps, the historical operating parameter and user activity information of air-conditioning can be first obtained, according to User Activity
Information judges whether to need the operational factor for adjusting air-conditioning, when judging to need to adjust the operational factor of air-conditioning, it is determined that to sky
The load adjustment parameter being adjusted is adjusted, finally according to the load adjustment parameter, obtains corresponding with user activity information work as
Preceding air conditioner operation parameters, so as to flexibly control the operation of air-conditioning.In this embodiment, air-conditioning can according to user activity information,
The operation of air-conditioning is adjusted flexibly, solves in correlation technique because the temperature sensing device in air-conditioning can not detect temperature in environment in time
Change, cause air-conditioning to adjust output parameter, the relatively low technical problem of user experience in time.
With reference to another embodiment, the present invention will be described.
The present invention can first gather corresponding User Activity region and user activity information, and it can include：With ground
Point information (parlor, bedroom, office, meeting room etc.)；User of service's information (adult, child)；(the small motion of librarian use mode
Amount, large amount of exercise)；Current indoor environment temperature (such as detects 23 degrees Celsius of current indoor)；Active user's preliminary set time；
Outdoor environment temperature (for example, outdoor temperature is 27 degrees Celsius).
Wherein, can be by the image information of the camera shooting predeterminable area of setting, with analysis when gathering information
Go out the relevant information (including manner, activity) that user in predeterminable area is moved or other are movable, can also lead to
Cross Temperature Humidity Sensor and get data of the Temperature and Humidity module.
It is then possible to following processing is done according to the information of collection：
(1) when detect room have the ability demand when, i.e., user using manual operator start after, unit first presses indoor and outdoor surroundingses
Temperature initially sets demand and opens operation.
(2) while interior machine camera brings into operation, and continuous a period of time detection site information (needs when unit is installed for the first time
Will, can subsequently need not), user of service's type x (adult/child), personnel amount y, manner information z (small amount of exercise/greatly
Amount of exercise) after, in summary data message, calculated load change correction factor A.
(3) load variations correction factor A is calculated according to algorithm, realizes following functions.
A) when the personnel that detect are that 1 adult does small amount of exercise activity, calculated load correction factor A is 1, i.e., such a shape
State is default conditions, it is not necessary to adjusts the service data of air-conditioning.
B) when detecting that personnel amount becomes more/few, calculated load amendment increase/reduction, at the same time, corresponding indoor set
EXV valves open big/reduction.
C) when testing staff's type adult becomes child or child becomes adult, calculated load amendment is decreased or increased, corresponding
Indoor set EXV valves reduce/opened greatly.
D) when detect personnel activity's type by the big transportation load of small motion quantitative change or large amount of exercise diminish amount of exercise when, calculate
Load amendment increases or reduced, and corresponding indoor set EXV valves open big/reduction.
By above-described embodiment, the user related information of predeterminable area can be gathered by default multiple equipment, is gathered
Each air-conditioning use occasion, environment temperature, number, capability distribution is carried out with reference to current environment indoor set capacity so as to reach timely
The effect of reaction lifting comfortableness and unit energy-conservation.
Fig. 2 is the schematic diagram of air conditioning control device according to embodiments of the present invention, as shown in Fig. 2 the device can include：
First acquisition unit 21, for obtaining the historical operating parameter and user activity information of air-conditioning, wherein, historical operating parameter is to go through
The relevant parameter of operation of air conditioner during history, user activity information are the relevant information that user is moved；Judging unit 23, use
According to user activity information and historical operating parameter, judge whether to need the operational factor for adjusting air-conditioning；Determining unit 25, use
When judging to need to adjust the operational factor of air-conditioning, it is determined that the load adjustment parameter being adjusted to air-conditioning；Second obtains
Unit 27, for the load adjustment parameter according to air-conditioning, the current air conditioner operation parameters corresponding with user activity information are obtained,
To control operation of air conditioner.
By above-described embodiment, the historical operating parameter and User Activity of the acquisition air-conditioning of first acquisition unit 21 can be passed through
Information, according to user activity information judge whether to need by judging unit 23 to adjust the operational factor of air-conditioning, judging to need
When adjusting the operational factor of air-conditioning, the load adjustment parameter that determines to be adjusted air-conditioning by determining unit 25 is finally led to
Second acquisition unit 27 is crossed according to the load adjustment parameter, obtains the current operation of air conditioner ginseng corresponding with user activity information
Number, so as to flexibly control the operation of air-conditioning.In this embodiment, air-conditioning can be adjusted flexibly according to user activity information in air-conditioning
Operation, solve not detecting that temperature changes in environment, leads in time due to the temperature sensing device in air-conditioning in correlation technique
Air-conditioning is caused to adjust output parameter, the relatively low technical problem of user experience in time.
Wherein, first acquisition unit 21 can include：Acquisition module, exist for getting air-conditioning by default processing module
The parameter run in historical process, to obtain historical operating parameter；Taking module, for controlling the shooting being arranged on around air-conditioning
Head is taken pictures to predeterminable area to obtain area image；Identification module, for being identified area image to obtain user
Action message.
In addition, identification module includes：Input submodule, for obtaining user during area image is inputted into preset model
Action message, wherein, preset model is the area image and user activity information according to the multigroup predeterminable area got in advance
Corresponding relation train to obtain model by machine learning.
For above-described embodiment, user activity information comprises at least following information：The type of user object, number of users,
User Activity amount, wherein, if historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's type is year
Age exceeds the user type at default age, and judging unit 23 can include：First judge module, for judging the class of user object
Whether type is targeted customer's type；First determining module, for judging that the type of user object is targeted customer's type
In the case of, it is determined that the operational factor of air-conditioning need not be adjusted；Second determining module, for judging the type of user object not
In the case of being targeted customer's type, it is determined that needing to adjust the operational factor of air-conditioning.
Optionally, if historical operating parameter is operational factor corresponding with targeted customer's quantity, targeted customer's quantity is super
Go out the number of users of predetermined threshold value, judging unit 23 can also include：Second judge module, for judge number of users whether be
Targeted customer's quantity；3rd determining module, in the case where judging that number of users is targeted customer's quantity, it is determined that being not required to
Adjust the operational factor of air-conditioning；4th determining module, for judging that number of users is not the situation of targeted customer's quantity
Under, it is determined that needing to adjust the operational factor of air-conditioning.
In addition, if historical operating parameter is operational factor corresponding with goal activities amount, goal activities amount is lived beyond default
The User Activity amount of momentum, judging unit 23 include：3rd judge module, for judging whether User Activity amount is goal activities
Amount；5th determining module, in the case where judging that User Activity amount is goal activities amount, it is determined that needing to adjust air-conditioning
Operational factor；6th determining module, in the case where judging that number of users is not targeted customer's quantity, it is determined that need not
Adjust the operational factor of air-conditioning.
Above-mentioned air conditioning control device can also include processor and memory, above-mentioned first acquisition unit 21, judging unit
23rd, determining unit 25, first acquisition unit 27 etc. store in memory as program unit, are stored in by computing device
Said procedure unit in memory realizes corresponding function.
Kernel is included in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can set one
Or more, by adjusting kernel parameter come the graphical analysis user profile according to shooting, to adjust running state of air conditioner, improve and use
The Experience Degree at family.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the form such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM), memory includes at least one deposit
Store up chip.
Another aspect according to embodiments of the present invention, additionally provides a kind of storage medium, and storage medium includes the journey of storage
Sequence, wherein, equipment performs the air conditioning control method of above-mentioned any one where controlling storage medium when program is run.
Another aspect according to embodiments of the present invention, a kind of processor being additionally provided, processor is used for operation program, its
In, program performs the air conditioning control method of above-mentioned any one when running.
The embodiments of the invention provide a kind of equipment, equipment includes processor, memory and storage on a memory and can
The program run on a processor, following steps are realized during computing device program：Obtain the historical operating parameter and use of air-conditioning
Family action message, wherein, historical operating parameter is the relevant parameter of operation of air conditioner in historical process, and user activity information is user
The relevant information moved；According to user activity information and historical operating parameter, judge whether to need the operation for adjusting air-conditioning
Parameter；When judging to need to adjust the operational factor of air-conditioning, it is determined that the load adjustment parameter being adjusted to air-conditioning；According to sky
The load adjustment parameter of tune, the current air conditioner operation parameters corresponding with user activity information are obtained, to control operation of air conditioner.
Optionally, above-mentioned processor can get air-conditioning in history mistake in configuration processor by default processing module
The parameter run in journey, to obtain historical operating parameter；The camera being arranged on around air-conditioning is controlled to clap predeterminable area
According to obtain area image；Area image is identified to obtain user activity information.
Optionally, above-mentioned processor is in configuration processor, to be used during can area image be inputted into preset model
Family action message, wherein, preset model is to be believed according to the area image of the multigroup predeterminable area got in advance with User Activity
The corresponding relation of breath trains to obtain model by machine learning.
Optionally, user activity information comprises at least following information：The type of user object, number of users, User Activity
Amount, wherein, if historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's type is the age beyond pre-
If the user type at age, optionally, above-mentioned processor is in configuration processor, it can be determined that whether the type of user object is mesh
Mark user type；In the case where the type for judging user object is targeted customer's type, it is determined that air-conditioning need not be adjusted
Operational factor；In the case where the type for judging user object is not targeted customer's type, it is determined that needing to adjust the fortune of air-conditioning
Row parameter.
Optionally, above-mentioned processor can be corresponding with targeted customer's quantity in historical operating parameter in configuration processor
Operational factor, targeted customer's quantity is the number of users beyond predetermined threshold value, is joined according to user activity information and history run
Number, the operational factor for judging whether to need to adjust air-conditioning include：Judge whether number of users is targeted customer's quantity；Judging
In the case that number of users is targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted；Judging number of users
In the case of not being targeted customer's quantity, it is determined that needing to adjust the operational factor of air-conditioning.
Optionally, above-mentioned processor can be corresponding with goal activities amount in historical operating parameter in configuration processor
Operational factor, goal activities amount exceed the User Activity amount of default activity, according to user activity information and historical operating parameter,
The operational factor for judging whether to need to adjust air-conditioning includes：Judge whether User Activity amount is goal activities amount；Judging to use
In the case that family activity is goal activities amount, it is determined that needing to adjust the operational factor of air-conditioning；Judging that number of users is not
In the case of targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted.
Present invention also provides a kind of computer program product, when being performed on data processing equipment, is adapted for carrying out just
The program of beginningization there are as below methods step：The historical operating parameter and user activity information of air-conditioning are obtained, wherein, history run ginseng
Number is the relevant parameter of operation of air conditioner in historical process, and user activity information is the relevant information that user is moved；According to
Family action message and historical operating parameter, judge whether to need the operational factor for adjusting air-conditioning；Judging to need to adjust air-conditioning
Operational factor when, it is determined that the load adjustment parameter being adjusted to air-conditioning；According to the load adjustment parameter of air-conditioning, obtain and use
The corresponding current air conditioner operation parameters of family action message, to control operation of air conditioner.
Optionally, above-mentioned data processing equipment can get air-conditioning by default processing module and exist in configuration processor
The parameter run in historical process, to obtain historical operating parameter；The camera being arranged on around air-conditioning is controlled to predeterminable area
Taken pictures to obtain area image；Area image is identified to obtain user activity information.
Optionally, above-mentioned data processing equipment is in configuration processor, during can area image be inputted into preset model with
User activity information is obtained, wherein, preset model is area image and the user of multigroup predeterminable area according to getting in advance
The corresponding relation of action message trains to obtain model by machine learning.
Optionally, user activity information comprises at least following information：The type of user object, number of users, User Activity
Amount, wherein, if historical operating parameter is operational factor corresponding with targeted customer's type, targeted customer's type is the age beyond pre-
If the user type at age, optionally, above-mentioned data processing equipment is in configuration processor, it can be determined that the type of user object is
No is targeted customer's type；In the case where the type for judging user object is targeted customer's type, it is determined that need not adjust
The operational factor of air-conditioning；In the case where the type for judging user object is not targeted customer's type, it is determined that needing to adjust sky
The operational factor of tune.
Optionally, above-mentioned data processing equipment can be and targeted customer's number in historical operating parameter in configuration processor
Operational factor corresponding to amount, targeted customer's quantity is the number of users beyond predetermined threshold value, according to user activity information and history
Operational factor, the operational factor for judging whether to need to adjust air-conditioning include：Judge whether number of users is targeted customer's quantity；
In the case of judging number of users and being targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted；Judging to use
In the case that amount amount is not targeted customer's quantity, it is determined that needing to adjust the operational factor of air-conditioning.
Optionally, above-mentioned data processing equipment can be and goal activities amount in historical operating parameter in configuration processor
Corresponding operational factor, goal activities amount exceed the User Activity amount of default activity, transported according to user activity information and history
Row parameter, the operational factor for judging whether to need to adjust air-conditioning include：Judge whether User Activity amount is goal activities amount；Sentencing
Break and in the case that User Activity amount is goal activities amount, it is determined that needing to adjust the operational factor of air-conditioning；Judging number of users
In the case that amount is not targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, others can be passed through
Mode is realized.Wherein, device embodiment described above is only schematical, such as the division of the unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
Connect, can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment methods described of the present invention whole or
Part steps.And foregoing storage medium includes：USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes
Medium.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
- A kind of 1. air conditioning control method, it is characterised in that including：The historical operating parameter and user activity information of air-conditioning are obtained, wherein, the historical operating parameter is that historical process is hollow The relevant parameter of row is allocated and transported, the user activity information is the relevant information that user is moved；According to the user activity information and the historical operating parameter, the operation for judging whether to need to adjust the air-conditioning is joined Number；When judging to need to adjust the operational factor of the air-conditioning, it is determined that the load adjustment ginseng being adjusted to the air-conditioning Number；According to the load adjustment parameter of the air-conditioning, the current operation of air conditioner ginseng corresponding with the user activity information is obtained Number, to control the operation of air conditioner.
- 2. according to the method for claim 1, it is characterised in that obtain the historical operating parameter and user activity information of air-conditioning Including：The parameter for getting air-conditioning by presetting processing module and being run in historical process, to obtain the historical operating parameter；The camera being arranged on around air-conditioning is controlled to be taken pictures to predeterminable area to obtain area image；The area image is identified to obtain the user activity information.
- 3. according to the method for claim 2, it is characterised in that the area image is identified to obtain User Activity Information includes：To obtain the user activity information during the area image is inputted into preset model, wherein, the preset model is The area image of multigroup predeterminable area and the corresponding relation of user activity information according to getting in advance are instructed by machine learning Get model.
- 4. according to the method for claim 1, it is characterised in that the user activity information comprises at least following information：Type, number of users, the User Activity amount of user object, wherein, if the historical operating parameter is and targeted customer's class Operational factor corresponding to type, targeted customer's type are to exceed the user type at default age the age, are lived according to the user Dynamic information and the historical operating parameter, the operational factor for judging whether to need to adjust the air-conditioning include：Whether the type for judging the user object is targeted customer's type；In the case where the type for judging the user object is targeted customer's type, it is determined that air-conditioning need not be adjusted Operational factor；In the case where the type for judging the user object is not targeted customer's type, it is determined that needing to adjust the air-conditioning Operational factor.
- 5. according to the method for claim 4, it is characterised in that if the historical operating parameter is and targeted customer's quantity pair The operational factor answered, targeted customer's quantity are the number of users beyond predetermined threshold value, according to the user activity information and The historical operating parameter, the operational factor for judging whether to need to adjust the air-conditioning include：Judge whether the number of users is targeted customer's quantity；In the case where judging that the number of users is targeted customer's quantity, it is determined that the operational factor of air-conditioning need not be adjusted；In the case where judging that the number of users is not targeted customer's quantity, it is determined that needing to adjust the operation ginseng of the air-conditioning Number.
- 6. according to the method for claim 4, it is characterised in that if the historical operating parameter is corresponding with goal activities amount Operational factor, the goal activities amount exceeds the User Activity amount of default activity, according to the user activity information and institute Historical operating parameter is stated, the operational factor for judging whether to need to adjust the air-conditioning includes：Judge whether the User Activity amount is goal activities amount；In the case where judging that the User Activity amount is goal activities amount, it is determined that needing to adjust the operation ginseng of the air-conditioning Number；In the case where judging that the number of users is not targeted customer's quantity, it is determined that the operation of the air-conditioning need not be adjusted Parameter.
- A kind of 7. air conditioning control device, it is characterised in that including：First acquisition unit, for obtaining the historical operating parameter and user activity information of air-conditioning, wherein, the history run ginseng Number is the relevant parameter of operation of air conditioner in historical process, and the user activity information is the relevant information that user is moved；Judging unit, for according to the user activity information and the historical operating parameter, judging whether to need described in adjustment The operational factor of air-conditioning；Determining unit, for when judging to need to adjust the operational factor of the air-conditioning, it is determined that being adjusted to the air-conditioning Load adjustment parameter；Second acquisition unit, for the load adjustment parameter according to the air-conditioning, obtain corresponding with the user activity information Current air conditioner operation parameters, to control the operation of air conditioner.
- 8. device according to claim 7, it is characterised in that the first acquisition unit includes：Acquisition module, it is described to obtain for the parameter for getting air-conditioning by presetting processing module and being run in historical process Historical operating parameter；Taking module, for controlling the camera being arranged on around air-conditioning to take pictures to obtain area image predeterminable area；Identification module, for the area image to be identified to obtain the user activity information.
- A kind of 9. storage medium, it is characterised in that the storage medium includes the program of storage, wherein, run in described program When control the storage medium where air conditioning control method in equipment perform claim requirement 1 to 6 described in any one.
- A kind of 10. processor, it is characterised in that the processor is used for operation program, wherein, right of execution when described program is run Profit requires the air conditioning control method described in any one in 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711003540.5A CN107883535A (en) | 2017-10-24 | 2017-10-24 | Air conditioner control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711003540.5A CN107883535A (en) | 2017-10-24 | 2017-10-24 | Air conditioner control method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107883535A true CN107883535A (en) | 2018-04-06 |
Family
ID=61782099
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711003540.5A Pending CN107883535A (en) | 2017-10-24 | 2017-10-24 | Air conditioner control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107883535A (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109405232A (en) * | 2018-09-04 | 2019-03-01 | 重庆工业职业技术学院 | Based on infrared temperature sensing and the dynamic air-conditioning Automatic adjustment method of human body |
| CN109737564A (en) * | 2018-12-20 | 2019-05-10 | 龙马智芯（珠海横琴）科技有限公司 | A kind of room temperature adjusting method and device |
| CN109974237A (en) * | 2019-04-01 | 2019-07-05 | 珠海格力电器股份有限公司 | Air conditioner and method and device for adjusting operation strategy of air conditioner |
| CN110410964A (en) * | 2019-06-27 | 2019-11-05 | 青岛海尔空调器有限总公司 | control method and control system of air conditioner |
| CN111160482A (en) * | 2019-12-31 | 2020-05-15 | 的卢技术有限公司 | Office place self-adaptive air conditioner control method and system based on deep learning |
| CN111322716A (en) * | 2020-02-24 | 2020-06-23 | 青岛海尔工业智能研究院有限公司 | Air conditioner temperature automatic setting method, air conditioner, equipment and storage medium |
| CN111397131A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
| WO2020199673A1 (en) * | 2019-04-01 | 2020-10-08 | 珠海格力电器股份有限公司 | Method and device for controlling household appliance, and household appliance |
| CN111750491A (en) * | 2020-05-14 | 2020-10-09 | 海信（山东）空调有限公司 | Air conditioner and air conditioner control method based on neural network |
| CN112230569A (en) * | 2020-09-24 | 2021-01-15 | 广州爱孕记信息科技有限公司 | Control method and device of detection equipment |
| CN112721566A (en) * | 2019-10-29 | 2021-04-30 | 长城汽车股份有限公司 | Air conditioner control method and device |
| CN112902406A (en) * | 2019-12-04 | 2021-06-04 | 佛山市云米电器科技有限公司 | Parameter setting method, device and computer readable storage medium |
| CN113251613A (en) * | 2021-05-07 | 2021-08-13 | 青岛海尔空调器有限总公司 | Method and device for air conditioner control and air conditioner |
| CN113310182A (en) * | 2021-04-15 | 2021-08-27 | 青岛海尔空调器有限总公司 | Control method of temperature adjusting equipment and electronic equipment |
| CN113357773A (en) * | 2021-05-31 | 2021-09-07 | 青岛海尔空调器有限总公司 | Method and device for air conditioner control and air conditioner |
| CN115854519A (en) * | 2022-12-23 | 2023-03-28 | 宁波奥克斯电气股份有限公司 | Air conditioner, control method and device thereof and readable storage medium |
| CN118149437A (en) * | 2024-05-11 | 2024-06-07 | 珠海格力电器股份有限公司 | Air conditioner control method, device and system and air conditioner |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012220061A (en) * | 2011-04-06 | 2012-11-12 | Panasonic Corp | Bathroom ventilating, heating and drying device |
| CN103557577A (en) * | 2013-10-30 | 2014-02-05 | 青岛海信日立空调***有限公司 | Camera-based air conditioner system and air conditioner control method |
| CN104075402A (en) * | 2014-06-19 | 2014-10-01 | 珠海格力电器股份有限公司 | Intelligent air conditioner control method and system |
| CN104864558A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, device and terminal |
| CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | Air conditioner control parameter determining device and method, air conditioner and server |
| CN106642578A (en) * | 2016-12-23 | 2017-05-10 | Tcl空调器(中山)有限公司 | Control method and device of air conditioner |
-
2017
- 2017-10-24 CN CN201711003540.5A patent/CN107883535A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012220061A (en) * | 2011-04-06 | 2012-11-12 | Panasonic Corp | Bathroom ventilating, heating and drying device |
| CN103557577A (en) * | 2013-10-30 | 2014-02-05 | 青岛海信日立空调***有限公司 | Camera-based air conditioner system and air conditioner control method |
| CN104075402A (en) * | 2014-06-19 | 2014-10-01 | 珠海格力电器股份有限公司 | Intelligent air conditioner control method and system |
| CN104864558A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, device and terminal |
| CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | Air conditioner control parameter determining device and method, air conditioner and server |
| CN106642578A (en) * | 2016-12-23 | 2017-05-10 | Tcl空调器(中山)有限公司 | Control method and device of air conditioner |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109405232A (en) * | 2018-09-04 | 2019-03-01 | 重庆工业职业技术学院 | Based on infrared temperature sensing and the dynamic air-conditioning Automatic adjustment method of human body |
| CN109737564A (en) * | 2018-12-20 | 2019-05-10 | 龙马智芯（珠海横琴）科技有限公司 | A kind of room temperature adjusting method and device |
| CN109974237A (en) * | 2019-04-01 | 2019-07-05 | 珠海格力电器股份有限公司 | Air conditioner and method and device for adjusting operation strategy of air conditioner |
| CN109974237B (en) * | 2019-04-01 | 2020-03-06 | 珠海格力电器股份有限公司 | Air conditioner and method and device for adjusting operation strategy of air conditioner |
| WO2020199673A1 (en) * | 2019-04-01 | 2020-10-08 | 珠海格力电器股份有限公司 | Method and device for controlling household appliance, and household appliance |
| CN110410964A (en) * | 2019-06-27 | 2019-11-05 | 青岛海尔空调器有限总公司 | control method and control system of air conditioner |
| CN110410964B (en) * | 2019-06-27 | 2021-07-23 | 青岛海尔空调器有限总公司 | Control method and control system of air conditioner |
| CN112721566A (en) * | 2019-10-29 | 2021-04-30 | 长城汽车股份有限公司 | Air conditioner control method and device |
| CN112902406A (en) * | 2019-12-04 | 2021-06-04 | 佛山市云米电器科技有限公司 | Parameter setting method, device and computer readable storage medium |
| CN111160482A (en) * | 2019-12-31 | 2020-05-15 | 的卢技术有限公司 | Office place self-adaptive air conditioner control method and system based on deep learning |
| CN111322716A (en) * | 2020-02-24 | 2020-06-23 | 青岛海尔工业智能研究院有限公司 | Air conditioner temperature automatic setting method, air conditioner, equipment and storage medium |
| CN111397131A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
| CN111397131B (en) * | 2020-03-30 | 2021-12-21 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
| CN111750491A (en) * | 2020-05-14 | 2020-10-09 | 海信（山东）空调有限公司 | Air conditioner and air conditioner control method based on neural network |
| CN111750491B (en) * | 2020-05-14 | 2022-01-18 | 海信（山东）空调有限公司 | Air conditioner and air conditioner control method based on neural network |
| CN112230569A (en) * | 2020-09-24 | 2021-01-15 | 广州爱孕记信息科技有限公司 | Control method and device of detection equipment |
| CN113310182A (en) * | 2021-04-15 | 2021-08-27 | 青岛海尔空调器有限总公司 | Control method of temperature adjusting equipment and electronic equipment |
| CN113251613A (en) * | 2021-05-07 | 2021-08-13 | 青岛海尔空调器有限总公司 | Method and device for air conditioner control and air conditioner |
| CN113357773A (en) * | 2021-05-31 | 2021-09-07 | 青岛海尔空调器有限总公司 | Method and device for air conditioner control and air conditioner |
| WO2022252720A1 (en) * | 2021-05-31 | 2022-12-08 | 青岛海尔空调器有限总公司 | Air conditioner control method and device, and air conditioner |
| CN115854519A (en) * | 2022-12-23 | 2023-03-28 | 宁波奥克斯电气股份有限公司 | Air conditioner, control method and device thereof and readable storage medium |
| CN118149437A (en) * | 2024-05-11 | 2024-06-07 | 珠海格力电器股份有限公司 | Air conditioner control method, device and system and air conditioner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107883535A (en) | Air conditioner control method and device | |
| CN107883541A (en) | Air conditioner control method and device | |
| CN107860101A (en) | Parameter adjusting method and device of air conditioning equipment and air conditioning equipment | |
| CN108050674A (en) | Control method and device of air conditioning equipment and terminal | |
| KR102648234B1 (en) | Data learning server and method for generating and using thereof | |
| CN107860100A (en) | Air outlet control method and terminal of air conditioner | |
| US10871302B2 (en) | Artificial intelligence air conditioner and control method thereof | |
| CN105005204B (en) | The intelligent engine system and method for smart home and wisdom scene of life can be triggered automatically | |
| CN107965828B (en) | Air suction state control method of range hood and range hood | |
| CN106444415A (en) | Smart home control method and system | |
| CN107816781A (en) | Control method and device of air conditioner | |
| KR20190118337A (en) | Air-conditioner with region selective operation, cloud server, and method of operating thereof | |
| CN107576022A (en) | Control method, air conditioner and the storage medium of air conditioner | |
| Jung et al. | Occupant-centered real-time control of indoor temperature using deep learning algorithms | |
| CN107166654A (en) | Air conditioner control method and device and air conditioner | |
| CN107860099A (en) | Air conditioner frosting detection method and device, storage medium and equipment | |
| CN104964395B (en) | Control method, device and equipment of air conditioner | |
| CN107869827A (en) | control method and device of air conditioner | |
| CN107883536A (en) | Parameter adjusting method and device of air conditioning equipment and terminal | |
| CN108151139A (en) | Control method of cabinet air conditioner, processor and storage medium | |
| CN107797459A (en) | Control method and device of terminal equipment, storage medium and processor | |
| CN108174832A (en) | Method and device for killing mosquito | |
| CN108052199A (en) | Control method and device of range hood and range hood | |
| CN108105136A (en) | Fan control method and device and fan | |
| CN107654406A (en) | Fan air supply control equipment, fan air supply control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180406 |