CN107860101A - Parameter regulation means and device, the air-conditioning equipment of air-conditioning equipment - Google Patents
Parameter regulation means and device, the air-conditioning equipment of air-conditioning equipment Download PDFInfo
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- CN107860101A CN107860101A CN201710929624.5A CN201710929624A CN107860101A CN 107860101 A CN107860101 A CN 107860101A CN 201710929624 A CN201710929624 A CN 201710929624A CN 107860101 A CN107860101 A CN 107860101A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
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Abstract
The invention discloses a kind of parameter regulation means of air-conditioning equipment and device, air-conditioning equipment.Wherein, this method includes：Gather the image information of user；The identity of user is determined according to image information；Operational factor according to the identity adjustment air-conditioning equipment of user.The present invention solves the technical problem that air conditioner operation parameters can not be adjusted flexibly in correlation technique according to different user identity information and user preferences.
Description
Technical field
The present invention relates to air conditioner controlling technology field, a kind of parameter regulation means in particular to air-conditioning equipment and
Device, air-conditioning equipment.
Background technology
In correlation technique, the parameter adjustment for air-conditioning, the operational order usually sent according to air-conditioning remote control, so as to
Corresponding parameter adjustment is carried out, the ginseng of air-conditioning is not adjusted flexibly according to the environment where the hobby of different user and user
Counting, user often exists the too low of temperature tune when carrying out refrigerating/heating using air-conditioning, causes user to use uncomfortable,
Reduce user experience.
For air-conditioning fortune can not be adjusted flexibly in above-mentioned correlation technique according to different user identity information and user preferences
The technical problem of row parameter, effective solution is not yet proposed at present.
The content of the invention
The embodiments of the invention provide a kind of parameter regulation means of air-conditioning equipment and device, air-conditioning equipment, at least to solve
The technical problem of air conditioner operation parameters can not certainly be adjusted flexibly in correlation technique according to different user identity information and user preferences.
One side according to embodiments of the present invention, there is provided a kind of parameter regulation means of air-conditioning equipment, including：Collection
The image information of user；The identity of user is determined according to image information；Operation ginseng according to the identity adjustment air-conditioning equipment of user
Number.
Further, the identity of user is determined according to image information, including：Using image information as the first preset model
Input, determines the user identity corresponding to image information, wherein, the first preset model is to use multigroup number in the first database
Train what is obtained according to by machine learning, every group of data in the first database in multi-group data include：Image information and
For indicating the label of user identity corresponding to image information.
Further, it is determined that after user identity corresponding to image information, method also includes：Judge in specified database
With the presence or absence of user identity, and when judged result is no, image information is sent to designated equipment；Receive designated equipment foundation
The user identity that second preset model determines, wherein, the second preset model is to be passed through using the multi-group data in the second database
Machine learning trains what is obtained, and every group of data in the second database in multi-group data include：Image information and for referring to
Show the label of user identity corresponding to image information.
Further, designated equipment includes：Network side server or the equipment with air-conditioning equipment with correspondence.
Further, the identity according to user adjusts the operational factor of air-conditioning equipment, including：When multiple users be present,
Target operating parameters are determined according to the weight for each user's distribution in multiple users；Or when multiple users be present, foundation
Operational factor in multiple users corresponding to the user of highest priority determines target operating parameters.
Further, the identity according to user adjusts the operational factor of air-conditioning equipment, including：The first identity of user is believed
The input of breath and the second identity information of user with user in same geographic area as the 3rd preset model, determines target
Operational factor, wherein, the 3rd preset model trains to obtain using multi-group data by machine learning, every in multi-group data
Group data include：First identity information and operational factor corresponding with the first identity information, the second identity information and with this
Operational factor corresponding to two identity informations；Operational factor according to target operating parameters adjustment air-conditioning equipment.
Further, the identity according to user adjusts the operational factor of air-conditioning equipment, including：The identity information of user is made
For the input of the 3rd preset model, target operating parameters are determined, wherein, the 3rd preset model is to pass through machine using multi-group data
What learning training obtained, every group of data in multi-group data include：Identity information and operation ginseng corresponding with the identity information
Number；Operational factor according to target operating parameters adjustment air-conditioning equipment.
Further, the operational factor of air-conditioning equipment includes at least one of：Design temperature, the air-conditioning of air-conditioning equipment are set
The duration of operation of the standby wind speed, air-conditioning equipment in the case where specifying operational factor.
Another aspect according to embodiments of the present invention, a kind of air-conditioning equipment is additionally provided, including：Image capture module, use
In the image information of collection user；Processor, for determining the identity of user according to the image information；And the body according to user
The operational factor of part adjustment air-conditioning equipment.
Further, processor, the input using image information as the first preset model is additionally operable to, determines image information institute
Corresponding user identity, wherein, the first preset model is to be trained using the multi-group data in the first database by machine learning
Obtain, every group of data in the first database in multi-group data include：Image information and for indicating image information institute
The label of corresponding user identity.
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
Adjust the parameter regulation means of equipment.
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 parameter regulation means of the air-conditioning equipment described in above-mentioned any one are performed when described program is run.
In embodiments of the present invention, the image information of user can be collected by filming apparatus, and according to image information
The identity of user is determined, then the identity according to the user adjusts the operational factor of air-conditioning equipment.In embodiments of the present invention,
User identity can be determined, and air-conditioning equipment operational factor, the i.e. embodiment party are adjusted according to user identity according to the image of collection
In formula, operational factor can be adjusted, solving can not be according to difference in correlation technique flexibly according to the different identity of each user
The technical problem of air conditioner operation parameters is adjusted flexibly in subscriber identity information and user preferences, reaches the fortune that air-conditioning equipment is adjusted flexibly
The effect of row parameter.
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 a kind of flow chart of the parameter regulation means of air-conditioning equipment according to embodiments of the present invention；
Fig. 2 is a kind of structure chart of the parameter adjustment controls of air-conditioning equipment according to embodiments of the present invention；
Fig. 3 is a kind of schematic diagram of air-conditioning equipment 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.
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 the parameter adjustment of air-conditioning equipment, it is necessary to explanation
It is that can be performed the step of the flow of accompanying drawing illustrates in the computer system of such as one group computer executable instructions,
Also, although logical order is shown in flow charts, in some cases, can be with different from order execution herein
Shown or described step.
In following embodiments of the present invention, various electric equipments are can apply to, electric equipment can include but is not limited to：
Air-conditioning, refrigerator, washing machine etc., the present invention explain using air-conditioning as preferable objective for implementation to embodiments of the invention.
In following examples, air-conditioning can include the air-conditioning of multiple species, can include but is not limited to：By occupation mode,
Be divided into wall hanging machine, cabinet-type air conditioner, ceiling machine, window machine, movable air conditioner, embedded type air conditioner etc., by use environment, be divided into domestic air conditioning,
Business air conditioner.Air-conditioning in the embodiment of the present invention can use in a variety of contexts, including based on family, dining room, shop
The less user of usable floor area, can also include：The user that the large area such as Office Area, plant area, supermarket use.Wherein, working as
Preceding air-conditioning, will not be according to the environment temperature outside current indoor in use, often set a temperature data in long period
Parameter adjustment is made in change, and this parameter setting can cause what the temperature that user experiences was just as, it is impossible to sky is adjusted flexibly
The parameter of tune.In the embodiment of the present invention, the identity of user according to the image information of collection, can be determined, and according to user's body
The operational factor of air-conditioning equipment is adjusted flexibly in part.
Fig. 1 is a kind of flow chart of the parameter regulation means of air-conditioning equipment according to embodiments of the present invention, as shown in figure 1,
This method comprises the following steps：
Step S102, gather the image information of user.
Step S104, the identity of user is determined according to image information.
Step S106, the operational factor according to the identity adjustment air-conditioning equipment of user.
By above-described embodiment, the image information of user can be collected by filming apparatus, and it is true according to image information
The identity of user is made, then the identity according to the user adjusts the operational factor of air-conditioning equipment.In embodiments of the present invention, may be used
With the image according to collection, user identity is determined, and air-conditioning equipment operational factor, the i.e. embodiment are adjusted according to user identity
In, operational factor can be adjusted, solving can not be according to different use in correlation technique flexibly according to the different identity of each user
The technical problem of air conditioner operation parameters is adjusted flexibly in family identity information and user preferences, reaches the operation that air-conditioning equipment is adjusted flexibly
The effect of parameter.
In the present invention, one or more cameras can be set in the environment where user, to gather the image of user
Information, do not limit in the present invention, can include but is not limited to for the set location of camera：In the porch in each room
One camera is set, outside house, at the top of house etc., region can be gathered respectively by the camera of diverse location
The image of user, can be that each preset time period shoots an image when gathering image, then analyze in image whether
User be present, and after it user be present in determining image, analyze the identity of user.For the image of shooting in the present invention
Classification does not limit, and includes but is not limited to：Black white image (gray level image), coloured image (RGB image).When analyzing image,
The information in image can be analyzed according to binary image processing mode, specifically, in analysis, can be to multiple pictures in image
Vegetarian refreshments is compared with the pixel position in history image, and to determine the pixel having differences, then there will be difference
Pixel distinguish, obtain in image with the presence or absence of the identity information of user and user.
For above-mentioned user, the specific identity of user is not limited in the present invention, such as in the family, can be included
Multidigit kinsfolk, wherein, the user identity in each room is probably different, and there is also have whole families in same room
Front yard member, the image of each kinsfolk is probably identical, it is also possible to different.Each user when using air-conditioning, its
The parameter of setting is probably different, for example, kinsfolk includes 4 people, including user 1 (identity of father), user 2
(identity of mother), user 3, user 4, user 1 like that it is 22 degrees Celsius to set room conditioning temperature in historical process, user
It is 25 degrees Celsius that 2 hobbies, which set room conditioning temperature, and it is 10 degrees Celsius that user 3, which likes setting room conditioning temperature, and user 4 is with using
The temperature data that family is set is about identical.In different regions, it is understood that there may be multiple families, it is more in each kinsfolk
The air-conditioning data that individual user is set are probably different, therefore, can gather user's air-conditioning arrange parameter of different zones respectively,
So that subsequent analysis uses.
And for the wider region of territorial scope, can be in adjusting parameter, as far as possible with reference to the parameter of adjacent domain, this is
Due to the place that Regional disparity is larger, its air-conditioning parameter set may have bigger difference, for example, in northwest region, Yong Hushe
The air-conditioning indoor temperature put is 20 degrees Celsius, and in the Northeast, the air-conditioning indoor temperature that its user is set is 25 degrees Celsius, then
When with reference to the adjusting parameter of air-conditioning, it is adjusted according to the adjusting parameter of the user of nearby geographic location.In addition, for same
Area, due to Changes in weather situation, it is necessary to which the air-conditioning parameter of adjustment also can be different, for example, for rainy day, can be by air-conditioning temperature
Degree parameter properly increases, and in fine day, can suitably reduce air-conditioner temperature parameter.
For S104 in above-mentioned steps, it can include：Input using image information as the first preset model, it is determined that figure
User identity as corresponding to information, wherein, the first preset model is to pass through machine using the multi-group data in the first database
What learning training obtained, every group of data in the first database in multi-group data include：Image information and for indicate scheme
The label of user identity as corresponding to information.
, by the image photographed in history preset time period and the user identity determined, it can be entered by machine
The continuous learning training of row, to extract the characteristics of image corresponding to each user, so that after image is photographed, image is defeated
Enter to the first preset model, user identity can be exported by the first preset model, wherein, history preset time period can be used
The analysis time section that family is voluntarily set, for example, 1 year, 3 months etc..Can be that storage history is preset in the first above-mentioned database
The image information and the database of subscriber identity information shot in period, each user can be corresponding with multiple corresponding figures
Picture, in the first preset model, the label information of instruction user identity can be preserved, label can include but is not limited to：User
Clothing color that height data, user's face data, user's hair style data, the finger data of user, the hobby of user are worn etc., lead to
The label of user identity is crossed, user identity can be analyzed.Wherein, when analyzing user identity, multiple labels can be combined and believed
Breath is common to be determined.
It should be noted that it is determined that after user identity corresponding to image information, specified database can also be judged
In whether there is user identity, and judged result for it is no when, image information is sent to designated equipment；Receive designated equipment according to
The user identity determined according to the second preset model, wherein, the second preset model is to be led to using the multi-group data in the second database
Cross machine learning and train what is obtained, every group of data in the second database in multi-group data include：Image information and it is used for
Indicate the label of user identity corresponding to image information.Wherein, the designated equipment includes：Network side server is set with air-conditioning
The standby equipment with correspondence.
In the above-described embodiment, specified database can be the data that incidence relation is pre-established with the air-conditioning of user
Storehouse, can store the identity information of user in specified database, and the different members of each family can be established individually accordingly
Data group, each user can be corresponding with multiple images information.Can be server or and user in above-mentioned designated equipment
Relevant equipment, for example, the designated equipment is user terminal, air-conditioning panel etc., it can be stored in each user terminal
There are the identity information and image information of corresponding user, by dividing the image information stored in multiple different user terminals
Analysis, establishes the second preset model corresponding to each user terminal, the user images information of shooting is also stored in the second preset model
With corresponding subscriber identity information, and the image information collected is sent into the second database, second database is compared
In the first database, capacity is smaller, can individually store the image information and identity information of corresponding user.
Image and the subscriber identity information determined using the user stored in the second database, constantly allow machine to carry out
Learning training, so as to establish the second preset model, the subscriber identity information that is stored in the second preset model, image information, use
Family label, wherein, user tag can be the basic physical characteristic information of user, and it can also include but is not limited to：User's body
Clothing color that high data, user's face data, user's hair style data, the finger data of user, user preferences are worn etc..
Optionally, by above-mentioned designated equipment, the air-conditioning that can be used with user establishes incidence relation, in addition, taking the photograph
Established as incidence relation, designated equipment and external server or other users air-conditioning can also be established between head and designated equipment
Incidence relation.For example, communication module can be set on air-conditioning, it is connected with establishing with the communication of designated equipment and server, and
Camera and family gateway equipment are established into communication connection, wherein, the communication module can include but is not limited to：Wireless network card,
Bluetooth equipment, sensor etc..It is connected by camera with the communication that server is established, can be after image be photographed, by image
Send into database (including but is not limited to above-mentioned first database, the second database), to utilize the data of database purchase
Machine is trained, so as to establish corresponding model (including but is not limited to the first preset model, the second preset model).
For above-mentioned steps S106, it can include：When multiple users be present, foundation is each user in multiple users
The weight of distribution determines target operating parameters；Or when multiple users be present, the use according to highest priority in multiple users
Operational factor corresponding to family determines target operating parameters.
Both weight can be distributed each user, and the weighted that different user is set, it has weight for the parameter of entirety
Influence, for example, the air-conditioning parameter being commonly used in 22 degrees Celsius of houses where user that user 1 is set, then can carry
The weight of the high user, the weighted value for such as setting user 1 are 0.8, for the weighted value that other users 2 or user are set compared with
It is low, to adjust air conditioner operation parameters according to user 1.And for the different user in each family, its priority set
It is different, for example, setting the priority of user 1 to be more than the priority of user 2, the priority of user 2 is more than the preferential of user 3
Level, it is determined that after the highest priority of user 1, the operational factor that can set user 1 is as target operating parameters.Such as one
In individual room, user 1, user 2, user 3 be present, then the average air-conditioning temperature of the setting of user according to priority, can be determined
Degrees of data is 22 degrees Celsius, then the target operating parameters that can adjust air-conditioning are 22 degrees Celsius.
Wherein, can also be in the identity information according to analysis for the weight distribution of user, it is true in the status of family
It is fixed, for example, the arrange parameter that user 1 in one family is analyzed be present is to change parameter at any time, and the arrange parameter of user 2
For the parameter being easily modified, then the status that can determine user 1 be it is higher, the weight distribution of user 1 is larger.
In addition, in the operational factor according to the identity of user adjustment air-conditioning equipment, can include：By the first body of user
Input of the second identity information of part information and the user with user in same geographic area as the 3rd preset model, it is determined that
Target operating parameters, wherein, the 3rd preset model trains to obtain using multi-group data by machine learning, in multi-group data
Every group of data include：First identity information and operational factor corresponding with the first identity information, the second identity information and with
Operational factor corresponding to second identity information；Operational factor according to target operating parameters adjustment air-conditioning equipment.It can be with
Including：Input using the identity information of user as the 3rd preset model, determines target operating parameters, wherein, the 3rd default mould
Type trains to obtain using multi-group data by machine learning, and every group of data in multi-group data include：Identity information and
Operational factor corresponding with the identity information；Operational factor according to target operating parameters adjustment air-conditioning equipment.
Wherein, in above-mentioned embodiment, it is thus necessary to determine that go out the first identity information of active user, it is then determined that going out user institute
Other users in region, and by communication module, the second identity information of other users in unified geographic area is got, the
One identity information is different from the second identity information.It can gather in the same area, the image of multiple users, and analyze every
The identity information of individual user, the image of collection and analysis result are sent into database, utilize the image and body of multiple users
Part information is trained to machine, so that it is determined that going out the 3rd preset model.The first above-mentioned identity information can be current treats point
The identity information of the user of analysis, and the second identity information is the information around user to be analyzed, is determining the first identity letter
Breath and the second identity information after, can continuous learning training, to obtain the 3rd preset model of whole region.In the 3rd default mould
In type, the corresponding relation of multiple identity informations and air conditioner operation parameters be present, inputting the first identity information and the second identity letter
After breath, the 3rd preset model output target operating parameters can be utilized.
, can be using target operating parameters as adjustment in the operational factor according to target operating parameters adjustment air-conditioning equipment
Basic data, so as to which the current operational factor of air-conditioning is adjusted into target operating parameters, it can include in the target operating parameters
But it is not limited to：Refrigerating/heating temperature, wind speed, wind, refrigerating/heating time etc. are swept, wherein, the target operating parameters are appreciated that
To be adapted to the parameter of current environment, the parameter set from user using remote control may be different, it is also possible to identical..According to inspection
The running status of the air-conditioning equipment measured, it is determined that needing to adjust operational factor, the current operating parameter of air-conditioning equipment can wrap
Include but be not limited to：Wind is swept in current design temperature data, the wind speed of current setting, upper and lower wind-guiding, left and right, and remote control is utilized in user
When being controlled, it is also possible to set：Timing parameters, sleep parameters, cooling and warming parameter, lighting programmers, E are enjoyed.
Wherein, the ambient parameter in the embodiment of the present invention can include indoor and outdoor surroundingses parameter, can include but is not limited to：
Indoor temperature, indoor humidity, room air each element content, outdoor temperature, outside humidity, outdoor air each element content etc..
Detection means can be set in the indoor set and outdoor unit of air-conditioning respectively in the present invention, so as to detect the interior of air-conditioning equipment
External environment parameter, the detection means can include but is not limited to：Temperature and humidity tester/Temperature Humidity Sensor, Element detection instrument etc..
According to the ambient parameter of detection and above-mentioned running status, the operational factor of air-conditioning equipment is adjusted, by the operational factor of air-conditioning
It is adjusted to the data for being adapted to current environment.
Above-mentioned ambient parameter can be determined by one below mode：Pass through the indoor set and outdoor unit in air-conditioning equipment
The sensor collection of upper setting；Or the communication module by being set in air-conditioning equipment obtains from network side.Wherein, it is general empty
Tune can all have indoor set and outdoor unit two parts, by the combination of outdoor unit and indoor set, realize refrigeration and heating, the present invention
In different sensors can be respectively set for machine and outdoor unit indoors, the sensor can include it is multiple, pass through different sensings
Device gathers different parameters, for example, gathering current indoor environment parameter and Outdoor Air Parameters.Wherein, above-mentioned sensor
It can include but is not limited to：Temperature Humidity Sensor.In addition, the data transfer that be able to will be collected by communication network in the present invention
Into air-conditioning processor, the communication module in the embodiment of the present invention can include above-mentioned wireless network card etc., can also include it
The communication module of its netting twine connection.
Wherein, the operational factor of air-conditioning equipment of the invention can include at least one of：The setting temperature of air-conditioning equipment
The duration of operation of degree, the wind speed of air-conditioning equipment, air-conditioning equipment in the case where specifying operational factor.The design temperature of air-conditioning equipment can
To be according to current environment sets itself, for example, set indoor temperature as 22 degrees Celsius, and the wind speed of air-conditioning equipment can be
The wind speed of indoor setting, for example, gentle breeze is fast, the duration of operation under the specified operational factor of air-conditioning equipment can be set
Temperature duration, for example, set indoor temperature be 22 degrees Celsius, and set the duration of operation be 3 hours.
In the embodiment of the present invention, different embodiments can be combined the parameter of the air-conditioning equipment of the user of collection is carried out
Processing, to combine the data of historical period, adjust the parameter setting of air-conditioning.By the parameter for gathering particular user historical time section
Set, duration and change is set and the duration, with collect current weather conditions, the data such as outdoor temperature, with reference to
With other people parameter setting in region, air-conditioning parameter adjustment is carried out.
In gathered data, the image of kinsfolk can be gathered, and carry out recognition of face；Each member can also be gathered
To the arrange parameter and preference of air-conditioning；And the air-conditioning of cell and neighbouring user where gathering user are set, by collection
Identification, user's arrange parameter and the air-conditioning of preference and neighbouring user of user is set, the air parameter current to user
It is adjusted.And by default communication equipment, the user of identification change air-conditioning parameter, to carry out air-conditioning parameter adjustment, wherein,
Communication equipment can include but is not limited to：Air-conditioning panel, remote control or the mobile phone for binding APP.
Wherein, in adjustment, the data of history preset time period can be trained, to obtain corresponding model, with
Exemplified by design temperature, can learn first 10 days start after design temperature (study just start setting temperature and duration,
And the design temperature and duration changed afterwards, this process is learnt), while got and worked as by mixed-media network modules mixed-media
Preceding weather parameters (for example, current temperature data, humidity data, wind speed etc.), so as to adjust the operational factor of air-conditioning equipment.
For above-mentioned embodiment, the weight in the time of study can be divided, weighted value can be a model
Enclose, at first day 00:00 started, by the 10th day 23:59 moment terminated, and after full 10 days, calculated within every 1 day afterwards self study setting temperature
Degree.
It should be noted that for the data in 10 days, obtain the design temperature just started shooting and (correspond to above-described embodiment
Initial setup parameter) and outer shroud temperature (the current environment parameter for corresponding to above-described embodiment), the ginseng as outer shroud temperature today
Value is examined, if there is the weather of same outer shroud temperature in passing 10 days, the design temperature weight accounting 0.8 of this weather (corresponds to above-mentioned
First kind parameter distribution weight), if same weather, different set temperature, take design temperature average value.Other weather are set
Constant temperature degree is averaged, accounting 0.2 (the start design temperature for being likely to be user preferences)；
Hereafter duration, the duration accounting 0.8 under certain design temperature of same outdoor environment temperature, other days
The design temperature duration long accounting 0.2 of gas.Or circumstance temperature Du Laiding within the determination of duration, under same weather, warp
After a period of time, reach certain inner ring temperature, carried out the change of design temperature, take the average value of the inner ring temperature, accounting
0.8；Inner ring temperature during the change design temperature of other weather, takes the average value of inner ring temperature, accounting 0.2, is set as this
The foundation of the duration of constant temperature degree, that is, reach the inner ring temperature, the change with regard to carrying out design temperature.
By above-mentioned embodiment, the running temperature of current air-conditioning equipment according to the data in history 10 days, can be adjusted
Parameter, so as to reach the conventional parameter setting of collection user, duration and change setting and duration, work as with what is detected
The data such as preceding weather condition, outdoor temperature combine, and carry out the parameter adjustment of air-conditioning equipment, to solve the air-conditioning parameter manually set
It is not suitable with the effect of current environment.
Fig. 2 is a kind of structure chart of the parameter adjustment controls of air-conditioning equipment according to embodiments of the present invention, as shown in Fig. 2
The device includes：Collecting unit 21, for gathering the image information of user；Determining unit 23, for being determined according to image information
The identity of user；Adjustment unit 25, the operational factor for the identity adjustment air-conditioning equipment according to user.
In this embodiment it is possible to the image information of user is collected by the filming apparatus of collecting unit 21, and by true
Order member 23 determines the identity of user according to image information, is then adjusted by adjustment unit 25 according to the identity of the user empty
Adjust the operational factor of equipment.In embodiments of the present invention, user identity can be determined according to the image of collection, and according to user
Identity adjusts air-conditioning equipment operational factor, i.e., can be flexibly according to the different identity of each user, adjustment in the embodiment
Operational factor, solve air conditioner operation parameters can not be adjusted flexibly according to different user identity information and user preferences in correlation technique
Technical problem, reach the effect of the operational factor that air-conditioning equipment is adjusted flexibly.
Wherein, above-mentioned determining unit 23 can include：Determining module, for using image information as the first preset model
Input, determines the user identity corresponding to image information, wherein, the first preset model is to use multigroup number in the first database
Train what is obtained according to by machine learning, every group of data in the first database in multi-group data include：Image information and
For indicating the label of user identity corresponding to image information.
Optionally, device can also include judging unit, for it is determined that after user identity corresponding to image information,
Judge to whether there is user identity in specified database, and when judged result is no, image information is sent to designated equipment；
Receiving unit, the user identity determined for receiving designated equipment according to the second preset model, wherein, the second preset model is to adopt
Train what is obtained by machine learning with the multi-group data in the second database, every group of number in the second database in multi-group data
According to including：Image information and the label for indicating user identity corresponding to image information.
For in above-mentioned embodiment, designated equipment includes：Network side server has the pass that communicates with air-conditioning equipment
The equipment of system.
For above-mentioned adjustment unit 25, can include：First determining module, for when multiple users be present, according to being
The weight of each user's distribution determines target operating parameters in multiple users；Or when multiple users be present, according to multiple use
Operational factor in family corresponding to the user of highest priority determines target operating parameters.
For above-mentioned adjustment unit 25, can also include：First input module, for by the first identity information of user and
With the input of the second identity information of user of the user in same geographic area as the 3rd preset model, object run is determined
Parameter, wherein, the 3rd preset model trains to obtain using multi-group data by machine learning, every group of number in multi-group data
According to including：First identity information and operational factor corresponding with the first identity information, the second identity information and with second body
Operational factor corresponding to part information；Operational factor according to target operating parameters adjustment air-conditioning equipment.
For above-mentioned adjustment unit 25, can also include：Second input module, for using the identity information of user as
The input of three preset models, determines target operating parameters, wherein, the 3rd preset model is to pass through machine learning using multi-group data
What training obtained, every group of data in multi-group data include：Identity information and operational factor corresponding with the identity information；According to
According to the operational factor of target operating parameters adjustment air-conditioning equipment.
Fig. 3 is a kind of schematic diagram of air-conditioning equipment according to embodiments of the present invention, as shown in figure 3, the air-conditioning equipment can be with
Including：Image capture module 31, for gathering the image information of user；Processor 33, for determining to use according to the image information
The identity at family；And the operational factor of the identity adjustment air-conditioning equipment according to user.
The image information of user can be gathered by the information collecting device 31 in above-described embodiment, utilizes storage medium 33
Storage determines the identity of user, and the operational factor of the identity adjustment air-conditioning equipment according to user according to the image information, finally
The operational factor of air-conditioning equipment is adjusted to target operating parameters.In this embodiment it is possible to utilize the He of information collecting device 31
Storage medium 33, according to the environmental data of collection, adjust the service data of air-conditioning equipment.
For above-mentioned processor 33, the input using image information as the first preset model is additionally operable to, determines that image is believed
The corresponding user identity of breath, wherein, the first preset model is to pass through machine learning using the multi-group data in the first database
What training obtained, every group of data in the first database in multi-group data include：Image information and for indicate image believe
The label of user identity corresponding to breath.
The parameter adjustment controls of above-mentioned air-conditioning equipment can also include processor and memory, above-mentioned collecting unit 21,
Determining unit 23, adjustment unit 25 etc. in memory, memory are stored in by computing device as program unit storage
In said procedure unit realize corresponding function.
Kernel is included in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can set one
Or more, the operational factor of air-conditioning equipment is adjusted by adjusting kernel parameter, to be adjusted to the ginseng of environment where being adapted to user
Number.
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.
The embodiment of the present invention additionally provides a kind of storage medium, and storage medium includes the program of storage, wherein, transported in program
Equipment performs the parameter regulation means of the air-conditioning equipment of above-mentioned any one where controlling storage medium during row.
The embodiment of the present invention additionally provides a kind of processor, and processor is used for operation program, wherein, program performs when running
The parameter regulation means of the air-conditioning equipment of above-mentioned any one.
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：Gather the image information of user；According to image
Information determines the identity of user；Operational factor according to the identity adjustment air-conditioning equipment of user.
Alternatively, during above-mentioned computing device program, input that can also be using image information as the first preset model, really
Determine the user identity corresponding to image information, wherein, the first preset model is to be passed through using the multi-group data in the first database
Machine learning trains what is obtained, and every group of data in the first database in multi-group data include：Image information and for referring to
Show the label of user identity corresponding to image information.
Alternatively, during above-mentioned computing device program, can also judge to whether there is user identity in specified database, and
When judged result is no, image information is sent to designated equipment；Receive what designated equipment determined according to the second preset model
User identity, wherein, the second preset model is to train what is obtained by machine learning using the multi-group data in the second database,
Every group of data in second database in multi-group data include：Image information and for indicating user corresponding to image information
The label of identity.
Alternatively, can also be when multiple users be present during above-mentioned computing device program, foundation is every in multiple users
The weight of individual user's distribution determines target operating parameters；Or when multiple users be present, according to priority in multiple users most
Operational factor corresponding to high user determines target operating parameters.
Alternatively, during above-mentioned computing device program, can also by the first identity information of user and with user same
Input of the second identity information of user in geographic area as the 3rd preset model, determines target operating parameters, wherein, the
Three preset models train to obtain using multi-group data by machine learning, and every group of data in multi-group data include：The
One identity information and operational factor corresponding with the first identity information, the second identity information and corresponding with second identity information
Operational factor；Operational factor according to target operating parameters adjustment air-conditioning equipment.
Alternatively, can also be using the identity information of user as the 3rd preset model during above-mentioned computing device program
Input, determines target operating parameters, wherein, the 3rd preset model trains to obtain using multi-group data by machine learning,
Every group of data in multi-group data include：Identity information and operational factor corresponding with the identity information；According to object run
The operational factor of parameter adjustment air-conditioning equipment.
Alternatively, during above-mentioned computing device program, the operational factor of its air-conditioning equipment includes at least one of：Air-conditioning
The duration of operation of the design temperature of equipment, the wind speed of air-conditioning equipment, air-conditioning equipment in the case where specifying operational factor.
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：Gather the image information of user；The identity of user is determined according to image information；According to use
The operational factor of the identity adjustment air-conditioning equipment at family.
Alternatively, can also be using image information as the first preset model during above computer program product configuration processor
Input, determine the user identity corresponding to image information, wherein, the first preset model be using multigroup in the first database
Data train what is obtained by machine learning, and every group of data in the first database in multi-group data include：Image information with
And for indicating the label of user identity corresponding to image information.
Alternatively, during above computer program product configuration processor, can also judge in specified database with the presence or absence of use
Family identity, and when judged result is no, image information is sent to designated equipment；Designated equipment is received according to the second default mould
The user identity that type determines, wherein, the second preset model is to be instructed using the multi-group data in the second database by machine learning
Get, every group of data in the second database in multi-group data include：Image information and for indicating image information
The label of corresponding user identity.
Alternatively, can also be when multiple users be present during above computer program product configuration processor, foundation is multiple
The weight of each user's distribution determines target operating parameters in user；Or when multiple users be present, according in multiple users
Operational factor corresponding to the user of highest priority determines target operating parameters.
Alternatively, during above computer program product configuration processor, can also by the first identity information of user and with
Input of the second identity information of user of the family in same geographic area as the 3rd preset model, determine that object run is joined
Number, wherein, the 3rd preset model trains to obtain using multi-group data by machine learning, every group of data in multi-group data
Include：First identity information and operational factor corresponding with the first identity information, the second identity information and with second identity
Operational factor corresponding to information；Operational factor according to target operating parameters adjustment air-conditioning equipment.
Alternatively, can also be pre- as the 3rd using the identity information of user during above computer program product configuration processor
If the input of model, determines target operating parameters, wherein, the 3rd preset model is to be trained using multi-group data by machine learning
Obtain, every group of data in multi-group data include：Identity information and operational factor corresponding with the identity information；According to mesh
Mark the operational factor of operational factor adjustment air-conditioning equipment.
Alternatively, during above computer program product configuration processor, the operational factor of its air-conditioning equipment include it is following at least
One of：The design temperature of air-conditioning equipment, the wind speed of air-conditioning equipment, air-conditioning equipment are when the operation under specifying operational factor continues
Between.
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 (12)
- A kind of 1. parameter regulation means of air-conditioning equipment, it is characterised in that including：Gather the image information of user；The identity of the user is determined according to described image information；Identity according to the user adjusts the operational factor of the air-conditioning equipment.
- 2. according to the method for claim 1, it is characterised in that the identity of the user is determined according to described image information, Including：Input using described image information as the first preset model, determines the user identity corresponding to described image information, its In, first preset model is using the multi-group data in the first database to train what is obtained by machine learning, described the Every group of data in one database in multi-group data include：Image information and for indicating user's body corresponding to image information The label of part.
- 3. according to the method for claim 2, it is characterised in that determine user identity corresponding to described image information it Afterwards, methods described also includes：Judge to whether there is the user identity in specified database, and when judged result is no, described image information is sent out Deliver to designated equipment；The user identity that the designated equipment determines according to the second preset model is received, wherein, second preset model is to adopt Train what is obtained by machine learning with the multi-group data in the second database, it is every in multi-group data in second database Group data include：Image information and the label for indicating user identity corresponding to image information.
- 4. according to the method for claim 3, it is characterised in that the designated equipment includes：Network side server or with The equipment that the air-conditioning equipment has correspondence.
- 5. according to the method for claim 1, it is characterised in that the identity according to the user adjusts the air-conditioning equipment Operational factor, including：When multiple users be present, target operating parameters are determined according to the weight for each user's distribution in the multiple user； OrWhen multiple users be present, mesh is determined according to the operational factor corresponding to the user of highest priority in the multiple user Mark operational factor.
- 6. according to the method for claim 1, it is characterised in that the identity according to the user adjusts the air-conditioning equipment Operational factor, including：By the first identity information of the user and the second identity information of user with the user in same geographic area As the input of the 3rd preset model, target operating parameters are determined, wherein, the 3rd preset model is to be led to using multi-group data Cross machine learning and train what is obtained, every group of data in the multi-group data include：First identity information and with the first identity Operational factor corresponding to information, second identity information and operational factor corresponding with second identity information；The operational factor of the air-conditioning equipment is adjusted according to the target operating parameters.
- 7. according to the method for claim 1, it is characterised in that the identity according to the user adjusts the air-conditioning equipment Operational factor, including：Input using the identity information of the user as the 3rd preset model, determines target operating parameters, wherein, the described 3rd Preset model trains to obtain using multi-group data by machine learning, and every group of data in the multi-group data include： Identity information and operational factor corresponding with the identity information；The operational factor of the air-conditioning equipment is adjusted according to the target operating parameters.
- 8. method as claimed in any of claims 1 to 7, it is characterised in that the operational factor of the air-conditioning equipment Including at least one of：The design temperature of the air-conditioning equipment, the wind speed of the air-conditioning equipment, the air-conditioning equipment are being specified The duration of operation under operational factor.
- A kind of 9. air-conditioning equipment, it is characterised in that including：Image capture module, for gathering the image information of user；Processor, for determining the identity of the user according to the image information；And adjust institute according to the identity of the user State the operational factor of air-conditioning equipment.
- 10. air-conditioning equipment according to claim 9, it is characterised in that the processor, be additionally operable to described image information As the input of the first preset model, the user identity corresponding to described image information is determined, wherein, first preset model To train what is obtained by machine learning using the multi-group data in the first database, in first database in multi-group data Every group of data include：Image information and the label for indicating user identity corresponding to image information.
- A kind of 11. 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 equipment in equipment perform claim requirement 1 to 8 described in any one parameter adjustment Method.
- A kind of 12. 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 parameter regulation means of the air-conditioning equipment described in any one in 1 to 8.
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| CN201710929624.5A CN107860101A (en) | 2017-09-30 | 2017-09-30 | Parameter regulation means and device, the air-conditioning equipment of air-conditioning equipment |
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| CN201710929624.5A CN107860101A (en) | 2017-09-30 | 2017-09-30 | Parameter regulation means and device, the air-conditioning equipment of air-conditioning equipment |
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| CN107860101A true CN107860101A (en) | 2018-03-30 |
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| CN201710929624.5A Pending CN107860101A (en) | 2017-09-30 | 2017-09-30 | Parameter regulation means and device, the air-conditioning equipment of air-conditioning equipment |
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| CN110749051A (en) * | 2019-09-27 | 2020-02-04 | 青岛海尔空调器有限总公司 | Intelligent air conditioner control method and intelligent air conditioner |
| CN110779143A (en) * | 2019-10-23 | 2020-02-11 | 珠海格力电器股份有限公司 | Control method, device and equipment of air conditioner and air conditioner |
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| CN110736232A (en) * | 2019-10-29 | 2020-01-31 | 珠海格力电器股份有限公司 | Air conditioner control method and device |
| CN111306700A (en) * | 2020-03-10 | 2020-06-19 | 上海博泰悦臻电子设备制造有限公司 | Air conditioner control method and device and computer storage medium |
| CN111412173A (en) * | 2020-03-31 | 2020-07-14 | 佛山市云米电器科技有限公司 | Air supply parameter configuration method, system and computer readable storage medium |
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