CN108253587B - The method of adjustment and device of air cleanliness - Google Patents
The method of adjustment and device of air cleanliness Download PDFInfo
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- CN108253587B CN108253587B CN201711236579.1A CN201711236579A CN108253587B CN 108253587 B CN108253587 B CN 108253587B CN 201711236579 A CN201711236579 A CN 201711236579A CN 108253587 B CN108253587 B CN 108253587B
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
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Abstract
The invention discloses a kind of method of adjustment of air cleanliness and devices.Wherein, this method comprises: obtaining the monitoring picture of air-conditioning interior zone；Monitoring picture is analyzed, determines the corresponding pollution level of dirt on air-conditioning interior zone；Obtain air quality parameters；According to air quality parameters, the air parameter delta data of predeterminable area in preset time period is predicted, prediction result is obtained；According to prediction result and pollution level, judge whether to need to adjust air cleanliness；In the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust air cleanliness.The present invention solve in the related technology due to can not active detecting air quality data, cause air that can not detect in time when occurring abnormal, cause the uncomfortable technical problem of user.
Description
Technical field
The present invention relates to detection of air-conditioning technical fields, in particular to the method for adjustment and dress of a kind of air cleanliness
It sets.
Background technique
In the related technology, for the air detection in room, generally by temperature temperature detector and wet is arranged in a room
Degree detection is counted to detect the data of the Temperature and Humidity module of air, alternatively, detecting air parameter, this inspection by other air detecting devices
Survey mode can not adjust in time aerial temperature and humidity, can only be that user is actively seeing temperature when aerial temperature and humidity occurs abnormal
After the data that degree temperature detector and humidity detector detect, by experience to determine whether needing to adjust the temperature and humidity in room,
Alternatively, whether actively compare air parameter abnormal, and at this moment, temperature and humidity and air quality in room may be very poor,
There is no being timely adjusted, user can be allowed to feel uncomfortable.In addition, the cleannes for air can not also adjust in time,
It when air cleanliness is lower in a room, can not detect in time, if user enters, change back and feel apparent discomfort, will affect use
The experience sense at family.
For it is above-mentioned in the related technology due to can not active detecting air cleanliness, when causing air cleanliness poor without
Method is detected and is adjusted in time, causes the uncomfortable technical problem of user, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of method of adjustment of air cleanliness and devices, at least to solve in the related technology
Due to can not active detecting air quality data, cause air that can not detect in time when occurring abnormal, cause user uncomfortable
Technical problem.
According to an aspect of an embodiment of the present invention, a kind of method of adjustment of air cleanliness is provided, comprising: obtain empty
Adjust the monitoring picture of interior zone；The monitoring picture is analyzed, determines that the dirt on the air-conditioning interior zone is corresponding
Pollution level；Obtain air quality parameters；According to the air quality parameters, predeterminable area in preset time period is predicted
Air parameter delta data, obtains prediction result；According to the prediction result and the pollution level, judge whether to need to adjust
Air cleanliness；In the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust air cleaner
Degree.
Further, the monitoring picture is analyzed, determines the corresponding dirt of dirt on the air-conditioning interior zone
Dye degree includes: to be analyzed by preset model the monitoring picture, with the determination pollution level, wherein described pre-
If model is to be obtained according to multi-group data by machine learning training, each group of data in the multi-group data include prison
Control the corresponding relationship of picture and pollution level.
Further, according to the air quality parameters, the air parameter for predicting predeterminable area in preset time period becomes
Change data, obtaining prediction result includes: the weather report parameters obtained in the preset time period；Joined according to the air quality
The several and weather report parameters, predict the air parameter delta data of the predeterminable area, obtain the prediction result.
Further, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust sky
Gas cleannes include: in the case where judging to need to adjust air cleanliness, according to the prediction result and the pollution journey
It spends and determines air adjusting parameter；According to the air adjusting parameter, the target adjustment gear of air adjustment equipment is determined；According to true
The target adjustment gear for the air adjustment equipment made starts the air adjustment equipment；Adjust the gear of air adjustment equipment
To the target adjustment gear, to adjust air cleanliness.
Further, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust sky
Gas cleannes include: the region picture for obtaining the predeterminable area；The region picture is analyzed, it is described default to judge
Region whether there is user；Judging that the predeterminable area there are in the case where user, determines user type；According to the use
Family type and the air adjusting parameter determine starting time point and the starting duration of the air adjustment equipment.
Further, judging the predeterminable area, there are in the case where user, determine that user type includes: from described
The facial image of at least one user is obtained in the picture of region；The facial image of at least one user is identified, with
Determine the age stratum of at least one user；Based at least one user age stratum determine it is described at least one
User type belonging to user.
Further, judging the predeterminable area, there are in the case where user, determine that user type includes: from described
The facial image of at least one user is obtained in the picture of region；By identifying the facial image of at least one user, determine
The physical fitness information of at least one user；It is described at least based on the physical fitness information determination of at least one user
User type belonging to one user.
Further, the monitoring picture for obtaining air-conditioning interior zone includes: to obtain region picture shooting instruction；According to described
Region picture shooting instruction obtains the monitoring picture of target area in air-conditioning, to obtain the monitoring figure of the air-conditioning interior zone
Piece, wherein the target area includes at least: filtering web area, heat exchanger zones, air-conditioner air outlet region.
According to another aspect of an embodiment of the present invention, the adjustment device of air cleanliness is additionally provided, comprising: first obtains
Unit, for obtaining the monitoring picture of air-conditioning interior zone；Analytical unit is determined for analyzing the monitoring picture
The corresponding pollution level of dirt on the air-conditioning interior zone；Second acquisition unit, for obtaining air quality parameters and
Weather forecast in one predetermined amount of time；Predicting unit, for predicting in preset time period according to the air quality parameters
The air parameter delta data of predeterminable area, obtains prediction result；Judging unit, for according to the prediction result and the dirt
Dye degree judges whether to need to adjust air cleanliness；Execution unit, in the feelings for judging to need to adjust air cleanliness
Under condition, starting air adjustment equipment is to adjust air cleanliness.
Further, the analytical unit includes: the first analysis module, for passing through preset model to the monitoring picture
It is analyzed, with the determination pollution level, wherein the preset model is trained by machine learning according to multi-group data
It arrives, each group of data in the multi-group data include the corresponding relationship for monitoring picture and pollution level.
Further, the predicting unit includes: the first acquisition module, for obtaining the weather in the preset time period
Forecast parameter；Prediction module, for predicting the predeterminable area according to the air quality parameters and the weather report parameters
Air parameter delta data, obtain the prediction result.
Further, the execution unit includes: the first determining module, for judging to need to adjust air cleanliness
In the case where, air adjusting parameter is determined according to the prediction result and the pollution level；Second determining module is used for basis
The air adjusting parameter determines the target adjustment gear of air adjustment equipment；Starting module, for according to the air determined
The target adjustment gear for adjusting equipment starts the air adjustment equipment；Module is adjusted, for adjusting the shelves of air adjustment equipment
Position is to the target adjustment gear, to adjust air cleanliness.
Further, the execution unit further include: second obtains module, for obtaining the administrative division map of the predeterminable area
Piece；Second analysis module, for analyzing the region picture, to judge the predeterminable area with the presence or absence of user；The
Three determining modules, for judging that the predeterminable area there are in the case where user, determines user type；4th determines mould
Block, for according to the user type and the air adjusting parameter, determine the air adjustment equipment starting time point and
Starting duration.
Further, the third determining module includes: the first acquisition submodule, for obtaining from the region picture
The facial image of at least one user；It identifies submodule, is identified for the facial image at least one user, with
Determine the age stratum of at least one user；First determines submodule, for the age based at least one user
Stratum determines user type belonging at least one described user.
Further, the third determining module includes: the second acquisition submodule, for obtaining from the region picture
The facial image of at least one user；Second determines submodule, for passing through the facial image for identifying at least one user,
Determine the physical fitness information of at least one user；Third determines submodule, for based at least one user's
Physical fitness information determines user type belonging at least one described user.
Further, the first acquisition unit includes: third acquisition submodule, is referred to for obtaining region picture shooting
It enables；4th acquisition submodule, for obtaining the monitoring picture of target area in air-conditioning according to the region picture shooting instruction,
To obtain the monitoring picture of the air-conditioning interior zone, wherein the target area includes at least: filtering web area, heat exchanger
Region, air-conditioner air outlet region.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, the storage medium includes storage
Program, wherein described program operation when control the storage medium where equipment execute sky described in above-mentioned any one
The method of adjustment of gas cleannes.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, the processor is used to run program,
Wherein, the method for adjustment of air cleanliness described in above-mentioned any one is executed when described program is run.
In embodiments of the present invention, can first get the monitoring picture of air-conditioning interior zone, then to monitoring picture into
Row analysis, determines the pollution level of the dirt on air-conditioning interior zone, furthermore it is possible to get air matter by presetting module
Parameter is measured, and according to the air quality parameters, predicts air parameter delta data, obtains prediction result, it finally can basis
The pollution level of prediction result and the dirt determined judges whether to need to adjust air cleanliness, is judging to need to adjust
In the case where air cleanliness, starting air adjustment equipment is to adjust air cleanliness.In this embodiment it is possible to by sky
It adjusts interior zone to carry out photographic analysis, and gets air quality parameters in real time, to realize that Autonomic prediction air parameter changes
Data, the pollution level of the dirt of binding analysis carry out autonomous control adjustment air cleanliness, it can realize and set by air-conditioning etc.
Standby to realize, the adjust automatically of air cleanliness allows user to feel easypro to keep the air cleanliness of control area clean in real time
It is suitable, so solve in the related technology due to can not active detecting air quality data, cause air can not be timely when occurring abnormal
Detection, causes the uncomfortable technical problem of user.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the method for adjustment of air cleanliness according to an embodiment of the present invention；
Fig. 2 is the schematic diagram of the adjustment device of air cleanliness according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
The present invention is understood for the convenience of the user, and part term or noun involved in the present invention are explained below:
Pixel: being the minimum unit that can be shown on computer screen, for indicating the unit of image, referring to can be shown
Horizontal and vertical pixel array, the pixel in screen is more, and the resolution ratio of picture is higher, and the image the fine and smooth true to nature.
Binaryzation: to the picture of camera shooting, most of is color image, and color 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, can simply define foreground information is black, and background information is white, and here it is binary pictures.
CNN, convolutional neural networks describe the operation to input picture, one group of output describe picture material classification or
The probability of classification identifies the image of input, to export the probability of the object in image；Pass through a series of convolution levels
More abstract concept is built up, including establishes multiple neurons, and establishes corresponding input layer and output layer, thus will input
Node be constantly associated with by neuron, obtain optimization object, generally will include convolutional layer, filter layer, pass through forward conduction, damage
It loses function, backward conduction and function to update and be used as a learning cycle, to each trained picture, program will repeat fixed number
Purpose periodic process, to continue to optimize trained learning outcome.
To scheme to search figure, after getting image, result is ranked up by deep learning, and passes through the three of user record
The sequence loss function that tuple data (inquiry picture clicks picture and do not click on picture) carrys out training pattern, to be sorted
As a result, model can detect main body automatically after image is opened in input one, then according to ranking score height discharge related object
As a result.
Transfer learning is substantially images match, is applied model in every field by transfer learning, specifically data
The vector representation X of picture in library is moved on the image X1 in other field by linear transformation, by quoting random Fourier
Migration transformation is changed into nonlinear function, the image then needed by function.
According to embodiments of the present invention, a kind of embodiment of the method for the adjustment of air cleanliness is provided, it should be noted that
Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and
It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts
The step of showing or describing.
Following embodiment can be applied in various electrical equipments, for electrical equipment type without limitation, including but
Be not limited to: washing machine, air-conditioning, refrigerator, electric cooker etc. explain to the present invention in the application by taking air-conditioning as an example.
In following embodiments, it can be adapted for various air-conditioning equipments, wherein the type of air-conditioning is not limited in the present invention
It is fixed, can include but is not limited to: wall built-up air conditioner, vertical air conditioner, convertible frequency air-conditioner, floor standing air-conditioner, smallpox air conditioner, window machine,
Movable air conditioner, embedded type air conditioner.Wherein, have multiple components in washing machine, mainly include water pump, blower and pipe-line system,
It can specifically include: compressor, condenser, evaporator, four-way valve, check valve capillary module.In the related technology, for air-conditioning
Use, usually according to the operation of air conditioner temperature of user setting, in conjunction with temperature outside current indoor, to indoor temperature and humidity parameter into
Row is adjusted, but this mode, can not be adjusted according to the air parameter and user type of predeterminable area to air cleanliness
It is whole, under normal circumstances, user be experience it is uncomfortable after, can just adjust air cleanliness, still, at this moment air cleanliness can
Can be very low, it has adjusted very late, has gone down for a long time, the peculiar smell of predeterminable area can be difficult to shed, and cannot effectively clean.This hair
In bright, dirt classification and soil level can be determined by taking pictures, and get air quality parameters, predict air cleaner
Running parameter is spent, carries out reaching from main regulation and making user more comfortable using air-conditioning in time.
Air-conditioning can be set in a variety of environment in following embodiments, including but not limited to: Office Area, meeting room, family
Bedroom, parlor, plant area etc., the present invention in for air-conditioning specific suitable environment without limitation, emphasis of the present invention is to relatively closed
The air cleanliness of environment be adjusted, so that air cleanliness be kept to meet normal parameter.
Below with reference to preferred implementation steps, the present invention will be described, and Fig. 1 is that air according to an embodiment of the present invention is clear
The flow chart of the method for adjustment of cleanliness, as shown in Figure 1, this method comprises the following steps:
Step S102 obtains the monitoring picture of air-conditioning interior zone.
Wherein, air-conditioning interior zone can be the region where all parts of air-conditioning, carry out to each region in air-conditioning inside
It takes pictures, can be monitored picture, air-conditioning interior zone may include multiple target areas, and the monitoring picture got may also
Including plurality of pictures, clean condition whole inside air-conditioning can be determined by plurality of pictures.
For above-mentioned steps, the monitoring picture for obtaining air-conditioning interior zone includes: to obtain region picture shooting instruction；According to
Region picture shooting instruction obtains the monitoring picture of target area in air-conditioning, to obtain the monitoring picture of air-conditioning interior zone,
In, target area includes at least: filtering web area, heat exchanger zones, air-conditioner air outlet region.
The target area of air-conditioning involved in the embodiment of the present invention not only includes that above-mentioned filter screen, heat exchanger, air-conditioning go out
Air port can also include other target areas, above-mentioned filter screen can be arranged in air-conditioning for filtering dirt
The web-shaped product of dirt, can be set in air-conditioning air inlet and air outlet, may have dirt on air-conditioning interior zone, especially
It is that dirt in air can be easy to contamination on filter screen, permanent accumulation will form dirty area, and different dirts,
Color and Polluted area are also different, for example, oil smoke can form yellow stains for a long time.And for air-conditioning heat exchanger, it can refer to
Heat exchanger components in air-conditioning, air-conditioner air outlet region can be positioned at air-conditioner air outlet overall region, monitor picture obtaining
When, it can be taken pictures by camera to air-conditioning interior zone, to obtain the monitoring picture.
Optionally, one or more cameras are set around air-conditioning or room, and the quantity of the camera is not done specifically
It limits, for example, 2,5 etc., region captured by camera can be fixed.The region of camera shooting can be basis
The position of camera setting, shoots corresponding region, and the region of shooting can be set to predeterminable area, for example, parlor region, sleeping
Chamber region, Administrative Area, can also be to it is specific place carry out image taking, as to the region where air-conditioning interior zone into
Row image taking obtains monitoring picture.The present invention can be divided into camera group to multiple cameras, and every group may include multiple take the photograph
As head, with the image in the same region of determination, for example, parlor region is arranged three cameras as one group of camera, is obtained
To multiple images, to guarantee that the image in parlor region obtains integrality.
The type of the application of image in to(for) shooting is not specifically limited, for example, black white image (is also possible to grayscale image
Picture), color image the image of shooting can be sent in database after shooting obtains image, with save shooting figure
Piece, and the picture is analyzed, desired content is obtained, can store especially for the picture of air-conditioning interior zone shooting
To database, and processor can get monitoring picture in time, and analyze picture.
In addition, above-mentioned can be when transmitting picture sends picture by communication module, which guarantees camera
Data transmission between database, including transmission of video, picture transfer etc..
Step S104 analyzes monitoring picture, determines the corresponding pollution level of dirt on air-conditioning interior zone.
Through the above steps, the corresponding pollution level of dirt on air-conditioning interior zone can be determined, wherein pollution journey
Degree may include pollution category and the class of pollution, and in specific determine, dirt classification and the dirt that can distinguish dirt are corresponding
The class of pollution, the present invention without limitation, can pre-save a variety of dirt classifications, get for specific dirt classification
After new monitoring picture, dirt classification can be analyzed in time, which can include but is not limited to: floating dust, flue gas, body
Taste, alkali, amine, virus, bacterium, and for the fin of evaporator in air-conditioning often in dampness, algae easy to breed, accumulation
The shape of dirt, different dirts, color and infection may be inconsistent, by analyzing monitoring picture, can determine
Dirt classification out.
For the class of pollution, can be and different dirt classifications and the corresponding class of pollution of Polluted area, specific dirt
Dye grade can be it is predetermined, for example, setting the class of pollution be 5 grades, wherein the 1st grade for pollute it is most light, pollution type
It may indicate that simple floating dust pollution, chemical classes pollution can't be related to, and Polluted area is smaller, can be easy to clear
Reason, it is the 5th grade most heavy to pollute, it can be the pollution of virus, bacterium class, and Polluted area is larger, need to clear up for a long time.
Optionally, monitoring picture is analyzed, determines that the corresponding pollution level of the dirt on air-conditioning interior zone includes:
Monitoring picture is analyzed by preset model, to determine pollution level, wherein preset model is passed through according to multi-group data
Machine learning training obtains, and each group of data in multi-group data, which include that monitoring picture is corresponding with pollution level grade, closes
System.
The model that the corresponding relationship of monitoring picture and pollution level can be established, after inputting newest monitoring picture,
It can be with the corresponding pollution level of output monitoring picture by the model.The present invention, can before using model analysis pollution level
To establish model, and training pattern, when establishing model, model can be established by CNN, with each monitoring picture and right
The pollution level answered establishes model, and in input monitoring picture, can determine pollution level in time, can pass through one
The mode of the corresponding neuron of picture, establishes the relationship between monitoring picture and pollution level.After inputting newest picture,
It can use the corresponding pollution level of output layer output picture in CNN.
For above-mentioned steps, in analysis picture, binaryzation analysis mode can be first used, to having significant difference in image
Place separated, to determine the variation in picture, compared especially by with the picture in historical time section, really
The place for making existing variation, since the formation of dirt needs a period of time, two pictures of comparison front and back can be obtained accurately
Changed region in picture.For example, there is obvious expansion in the dirty area in picture in two days, by dividing picture
Analysis, determines the region where dirt, and obtains dirt and change position.By dirt distribution situation can it is more acurrate really
Dirt classification is made, for example, floating layer is in deposition, it may appear that dotted dirt, oil smoke will appear apparent color change, thus
It can be relatively easy to analyze dirt classification.And save the soil analysis time.
Step S106 obtains air quality parameters.
In the step, air quality parameters can be got respectively, wherein when obtaining air quality parameters, can be
Air quality is detected by the air sensing device being arranged in air-conditioning or room, for example, detecting room by temperature inductor
Between temperature parameter, by humidity sensor detect room humidity parameter, by PM2.5 detect its detect outside air PM2.5 ginseng
Number detects air peculiar smell parameter by air peculiar smell inductor.
It wherein, may include: the weather report parameters obtained in preset time period in above-mentioned steps；Joined according to air quality
Several and weather report parameters, predict the air parameter delta data of predeterminable area, obtain prediction result.
And for weather report parameters, it can be through communication module, it is logical with weather forecast center or weather forecast software
News connection, to get the weather report parameters in the first predetermined amount of time, which can be self-setting, example
Such as, one day following, 1 hour, 8 hours etc., the content of weather forecast may include the air quality parameters of perimeter, including temperature
Humidity parameter, PM2.5 etc..
Step S108 predicts the air parameter variation number of predeterminable area in preset time period according to air quality parameters
According to obtaining prediction result.
Wherein, the air parameter delta data that predeterminable area in predetermined amount of time is predicted in the step, can be to room
Interior air parameter delta data is predicted, for example, prediction air themperature data, humidity data, PM2.5 data, air
Peculiar smell parameter etc..Preset time period can be the period of user's self-setting, and such as 1 day, 5 hours etc..
Passing through air quality parameters and weather report parameters, when predicting the air parameter delta data of predeterminable area,
It can also be predicted by another model (such as the second model), which can be is obtained by multi-group data training
, the second model can be the model of the corresponding relationship of air quality parameters, weather report parameters and air parameter delta data.
In prediction, can be predicted in conjunction with the size of predeterminable area in conjunction with current point in time, to obtain accurately
Air parameter delta data.
Step S110 judges whether to need to adjust air cleanliness according to prediction result and pollution level.
When judging, need to be judged according to prediction result and the pollution level of dirt, for example, current external PM2.5 compared with
It is more, in prediction, since air-conditioning needs to be entered the wind by outside, it may be such that the PM2.5 in room is more and more, can predict sky
The variation of gas cleannes is very fast, lower.
Step S112, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust sky
Gas cleannes.
Wherein, when judgement needs to adjust air cleanliness, can also judge whether to need to clear up empty according to pollution level
The dirt on interior zone is adjusted, in the case where judging to need to clear up the dirt on air-conditioning interior zone, issues default prompt
Information, the dirt which is used to that user to be prompted to clear up on air-conditioning interior zone.
Through the above steps, the monitoring picture of air-conditioning interior zone can be first got, then monitoring picture is divided
Analysis, determines the corresponding pollution level of dirt on air-conditioning interior zone, furthermore it is possible to get air matter by presetting module
The weather report parameters in parameter and preset time period are measured, and according to the air quality parameters and weather report parameters, are predicted
Air parameter delta data obtains prediction result, finally can judge whether to need to adjust according to prediction result and pollution level
Air cleanliness, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust air cleaner
Degree.In this embodiment it is possible to by air-conditioning interior zone carry out photographic analysis, and get in real time air quality parameters and
Weather report parameters, to realize Autonomic prediction air parameter delta data, the pollution level of binding analysis carrys out autonomous control tune
Whole air cleanliness, it can it realizes and is realized by equipment such as air-conditionings, the adjust automatically of air cleanliness, with real-time holding control
The air cleanliness in region is clean, and user is allowed to feel comfortable, and then solves in the related technology due to can not active detecting air matter
Data are measured, causes air that can not detect in time when occurring abnormal, causes the uncomfortable technical problem of user.
In above-described embodiment, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust
Whole air cleanliness include: in the case where judging to need to adjust air cleanliness, it is true according to prediction result and pollution level
Determine air adjusting parameter；According to air adjusting parameter, the target adjustment gear of air adjustment equipment is determined；According to the sky determined
The target adjustment gear of controlled atmosphere finishing equipment, starting air adjust equipment；The gear of air adjustment equipment is adjusted to target adjustment shelves
Position, to adjust air cleanliness.
The adjustment gear for needing to adjust air adjustment equipment can be determined by above embodiment.Air adjustment
Equipment can be plurality of devices, be not specifically limited in the present invention, for example, air purifier, air humidity adjustor etc..This
It is illustrated in inventive embodiments with air purifier in order to adjust equipment to the air in the present invention.Each air adjustment
Equipment can include multiple gears, such as 3 grades of gears of setting, and the first gear is set as air and adjusts smaller, third level setting
It is smaller for air adjustment, such as change within second scheduled time comparatively fast in prediction air cleanliness, air quality can degradation
When, determine that air adjusting parameter is higher, the gear that air purifier is at this moment arranged is 3 grades, needs to spend the tune compared with great dynamics
Whole air cleanliness.
Another optional embodiment, in the case where judging to need to adjust air cleanliness, starting air adjustment
Equipment includes: the region picture for obtaining predeterminable area to adjust air cleanliness；Region picture is analyzed, it is default to judge
Region whether there is user；Judging that predeterminable area there are in the case where user, determines user type；According to user type and
Air adjusting parameter determines starting time point and the starting duration of air adjustment equipment.
It in above embodiment, is acquired to region picture, in acquisition, is also possible to get by camera
Region picture, predeterminable area can be above-mentioned region, such as parlor, bedroom, study, Office Area, after obtaining region picture,
Region picture can be analyzed, to judge that predeterminable area with the presence or absence of user, here, in analysis, can use two
Value analysis mode, analyzes with the presence or absence of user.Analysis when, can by being compared with history area picture, thus
It determines whether that there are users, or by being compared with the unmanned picture of preset reference, determines whether that there are users, such as in advance
If someone in region, then there can be apparent personage's delta data in picture.
In addition, for that, there are in the case where user, can be analyzed user type in determining picture, the present invention
Middle user type can refer to first kind user type, which can be including but not limited to: old man, small
Child, young people etc..According to different user types, when adjusting air cleanliness, when needing to adjust starting time point and starting
It is long, starting time point and starting duration are not specially limited in the present invention, starting duration can be according to prediction result and
Soil types adjust, for example, can determine that starting duration is more, such as 1 small when predicting that air cleanliness decline is more
When.
Another optional embodiment, judging that predeterminable area there are in the case where user, determines user type packet
It includes: obtaining the facial image of at least one user from the picture of region；The facial image of at least one user is identified, with
Determine the age stratum of at least one user；Use belonging at least one user is determined based on the age stratum of at least one user
Family type.
Wherein, above-mentioned facial image can be the image corresponding to user, and multiple use can be stored in advance in the database
The image at family, including body physical characteristic image, face image, hair style image, facial image etc., each user is corresponding with
Multiple images can identify image after getting user's facial image, when carrying out recognition of face in this application,
It can be and be compared the image stored in the facial image of shooting and database, it here can be by scheme to search figure and migration
Image in database is compared the mode of study with the facial image of the shooting, to find immediate user's figure
Picture, in data such as the corresponding user type of database purchase image, age of user.After analyzing facial image, it can determine
The age stratum of user obtains the type of user by the determination of the age stratum to user.
Above-mentioned age stratum can include but is not limited to: the year at the age at 0-15 years old age, 16-55 years old, 56-65 years old
The age of age, 66 or more is determining age stratum, can also be and analyzes the wrinkle of personage, five official rank features in image,
So that it is determined that age stratum out.
Optionally, judging that predeterminable area there are in the case where user, determines user type further include: from region picture
The middle facial image for obtaining at least one user；By identifying the facial image of at least one user, at least one user is determined
Physical fitness information；User type belonging at least one user is determined based on the physical fitness information of at least one user.
Wherein, above-mentioned user type can be the user type of the second class, and the user type of second class can refer to
The corresponding user type of the physical characteristic information of user, for example, face feature, wrinkle feature, hair style feature etc., above-mentioned body element
Matter information may include the health status of body, the present invention in can by the way that the corresponding physical condition of user is stored in advance,
It determines user type, is also possible to determine the physical fitness information of user by picture analyzing, which can be with
Include: face, wrinkle, can also determine the health information of user after further analysis, may include but unlimited
In: bluntness, whether catch a cold, the information such as fatigue strength.
By the analysis to user's body quality information, user type can be more accurately known, thus according to user's tune
Whole air-conditioning parameter, for example, old man is needed to reduce wind file in adjustment, it can for young people with slower purification air
To improve wind file, with fast purification air.
In above-described embodiment, the real time monitoring picture of available air-conditioning interior zone, and detect indoor air quality feelings
Condition, such as PM2.5 predict the variation of indoor air quality in predetermined amount of time in conjunction with weather forecast, in conjunction with air-conditioning inner area
The information such as the type of the dirt on domain and the pollution level of dirt, and then whether needed to be improved to client alert room air, such as
Fruit needs to be improved, and can automatically turn on air purifier in family, and automatically determine gear, further, can also be according to current
User type also determines time and the duration for opening clarifier, and adjust the gear of clarifier for example whether there is child old man.
Fig. 2 is the schematic diagram of the adjustment device of air cleanliness according to an embodiment of the present invention, as shown in Fig. 2, the device
It may include: first acquisition unit 21, for obtaining the monitoring picture of air-conditioning interior zone；Analytical unit 22, for monitoring
Picture is analyzed, and determines the corresponding pollution level of dirt on air-conditioning interior zone；Second acquisition unit 23, for obtaining sky
Gas mass parameter；Predicting unit 24, for according to air quality parameters, predicting the air ginseng of predeterminable area in preset time period
Number delta data, obtains prediction result；Judging unit 25, for judging whether to need to adjust according to prediction result and pollution level
Whole air cleanliness；Execution unit 26, in the case where judging to need to adjust air cleanliness, starting air adjustment to be set
For to adjust air cleanliness.
Through the foregoing embodiment, the monitoring picture of air-conditioning interior zone can be got by first acquisition unit 21, so
It is analyzed afterwards by 22 pairs of monitoring pictures of analytical unit, determines the corresponding pollution level of dirt on air-conditioning interior zone,
Furthermore it is possible to get air quality parameters by second acquisition unit 23, and by predicting unit 24 according to the air quality
Parameter predicts air parameter delta data, obtains prediction result, finally can by judging unit 25 according to prediction result and
Pollution level judges whether to need to adjust air cleanliness, is judging to need to adjust air cleanliness by execution unit 26
In the case where, starting air adjustment equipment is to adjust air cleanliness.In this embodiment it is possible to by air-conditioning interior zone
Photographic analysis is carried out, and gets air quality parameters and weather forecast in real time, to realize that Autonomic prediction air parameter changes
Data, the corresponding pollution level of the dirt of binding analysis carry out autonomous control adjustment air cleanliness, it can realization passes through air-conditioning
Etc. equipment realize that the adjust automatically of air cleanliness allows user to feel to keep the air cleanliness of control area clean in real time
Comfortably, so solve in the related technology due to can not active detecting air quality data, when air being caused to occur abnormal can not and
When detect, cause the uncomfortable technical problem of user.
Wherein, above-mentioned analytical unit 22 may include: the first analysis module, for by preset model to monitoring picture into
Row analysis, to determine pollution level, wherein preset model is to be obtained according to multi-group data by machine learning training, multiple groups
Each group of data in data include the corresponding relationship for monitoring picture and pollution level.
Optionally, predicting unit 24 may include: the first acquisition module, for obtaining the weather forecast in preset time period
Parameter；Prediction module, for predicting the air parameter variation number of predeterminable area according to air quality parameters and weather report parameters
According to obtaining prediction result.
In addition, execution unit 26 includes: the first determining module, for judging to need the case where adjusting air cleanliness
Under, air adjusting parameter is determined according to prediction result and pollution level；Second determining module is used for according to air adjusting parameter,
Determine the target adjustment gear of air adjustment equipment；Starting module, for the target tune according to the air adjustment equipment determined
Whole gear, starting air adjust equipment；Module is adjusted, for adjusting the gear of air adjustment equipment to target adjustment gear, with
Adjust air cleanliness.
Optionally, execution unit 26 can also include: the second acquisition module, for obtaining the region picture of predeterminable area；
Second analysis module, for analyzing region picture, to judge predeterminable area with the presence or absence of user；Third determining module,
For judging that predeterminable area there are in the case where user, determines user type；4th determining module, for according to user class
Type and air adjusting parameter determine starting time point and the starting duration of air adjustment equipment.
It may include: the first acquisition submodule for above-mentioned third determining module, for being obtained from the picture of region
The facial image of at least one user；It identifies submodule, is identified for the facial image at least one user, with determination
The age stratum of at least one user；First determines submodule, determines at least for the age stratum based at least one user
User type belonging to one user.
In addition, above-mentioned third determining module can also include: the second acquisition submodule, for obtained from the picture of region to
The facial image of a few user；Second determines submodule, for the facial image by identifying at least one user, determines extremely
The physical fitness information of a few user；Third determines submodule, true for the physical fitness information based at least one user
User type belonging at least one fixed user.
Include: third acquisition submodule for the first acquisition unit 21 in above-mentioned apparatus, is clapped for obtaining region picture
Take the photograph instruction；4th acquisition submodule, for obtaining the monitoring picture of target area in air-conditioning according to region picture shooting instruction,
To obtain the monitoring picture of air-conditioning interior zone, wherein target area includes at least: filtering web area, heat exchanger zones, air-conditioning
Air outlet region.
The adjustment device of above-mentioned air cleanliness can also include processor and memory, above-mentioned first acquisition unit
21, analytical unit 22, second acquisition unit 23, predicting unit 24, judging unit 25, execution unit 26 etc. are used as program unit
Storage in memory, executes above procedure unit stored in memory by processor to realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, air parameter is detected by adjusting kernel parameter, to be adjusted to be suitble to the air cleanliness of predeterminable area.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, storage medium includes the journey of storage
Sequence, wherein equipment where control storage medium executes the adjustment side of the air cleanliness of above-mentioned any one in program operation
Method.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, processor is used to run program,
In, program executes the method for adjustment of the air cleanliness of above-mentioned any one when running.
The embodiment of the invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of the monitoring picture for obtaining air-conditioning interior zone when executing program；
Monitoring picture is analyzed, determines the corresponding pollution level of dirt on air-conditioning interior zone；Obtain air quality parameters；Root
According to air quality parameters, the air parameter delta data of predeterminable area in preset time period is predicted, prediction result is obtained；According to
Prediction result and pollution level judge whether to need to adjust air cleanliness；In the feelings for judging to need to adjust air cleanliness
Under condition, starting air adjustment equipment is to adjust air cleanliness.
Optionally, when above-mentioned processor executes program, monitoring picture can also be analyzed by preset model, with true
Determine pollution level, wherein preset model is to obtain according to multi-group data by machine learning training, each in multi-group data
Group data include the corresponding relationship for monitoring picture and pollution level.
Optionally, when above-mentioned processor executes program, the weather report parameters in preset time period can also be obtained；According to
Air quality parameters and weather report parameters predict the air parameter delta data of predeterminable area, obtain prediction result.
Optionally, when above-mentioned processor executes program, can also in the case where judging to need to adjust air cleanliness,
Air adjusting parameter is determined according to prediction result and pollution level；According to air adjusting parameter, the mesh of air adjustment equipment is determined
Mark adjustment gear；According to the target adjustment gear for the air adjustment equipment determined, starting air adjusts equipment；Adjust air tune
The gear of finishing equipment is to target adjustment gear, to adjust air cleanliness.
Optionally, when above-mentioned processor executes program, the region picture of predeterminable area can also be obtained；To region picture into
Row analysis, to judge predeterminable area with the presence or absence of user；Judging that predeterminable area there are in the case where user, determines user class
Type；According to user type and air adjusting parameter, starting time point and the starting duration of air adjustment equipment are determined.
Optionally, when above-mentioned processor executes program, the face of at least one user can also be obtained from the picture of region
Image；The facial image of at least one user is identified, to determine the age stratum of at least one user；Based at least one
The age stratum of a user determines user type belonging at least one user.
Optionally, when above-mentioned processor executes program, the face of at least one user can also be obtained from the picture of region
Image；By identifying the facial image of at least one user, the physical fitness information of at least one user is determined；Based at least one
The physical fitness information of a user determines user type belonging at least one user.
Optionally, when above-mentioned processor executes program, region picture shooting instruction can also be obtained；It is clapped according to region picture
Instruction is taken the photograph, the monitoring picture of target area in air-conditioning is obtained, to obtain the monitoring picture of air-conditioning interior zone, wherein target area
Domain includes at least: filtering web area, heat exchanger zones, air-conditioner air outlet region.
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step: the monitoring picture of air-conditioning interior zone is obtained；Monitoring picture is analyzed, is determined empty
Adjust the corresponding pollution level of dirt on interior zone；Obtain air quality parameters；According to air quality parameters, predict default
The air parameter delta data of predeterminable area, obtains prediction result in period；According to prediction result and pollution level, judgement is
It is no to need to adjust air cleanliness；In the case where judging to need to adjust air cleanliness, starting air adjustment equipment is to adjust
Whole air cleanliness.
Optionally, when above-mentioned data processing equipment executes program, monitoring picture can also be divided by preset model
Analysis, to determine pollution level, wherein preset model is to be obtained according to multi-group data by machine learning training, multi-group data
In each group of data include monitor picture and pollution level corresponding relationship.
Optionally, when above-mentioned data processing equipment executes program, the weather forecast ginseng in preset time period can also be obtained
Number；According to air quality parameters and weather report parameters, the air parameter delta data of predeterminable area is predicted, obtain prediction knot
Fruit.
Optionally, when above-mentioned data processing equipment executes program, can also judge to need to adjust air cleanliness
In the case of, air adjusting parameter is determined according to prediction result and pollution level；According to air adjusting parameter, determine that air adjustment is set
Standby target adjustment gear；According to the target adjustment gear for the air adjustment equipment determined, starting air adjusts equipment；Adjustment
Air adjusts the gear of equipment to target adjustment gear, to adjust air cleanliness.
Optionally, when above-mentioned data processing equipment executes program, the region picture of predeterminable area can also be obtained；To region
Picture is analyzed, to judge predeterminable area with the presence or absence of user；Judging that predeterminable area there are in the case where user, determines
User type；According to user type and air adjusting parameter, starting time point and the starting duration of air adjustment equipment are determined.
Optionally, when above-mentioned data processing equipment executes program, at least one user can also be obtained from the picture of region
Facial image；The facial image of at least one user is identified, to determine the age stratum of at least one user；It is based on
The age stratum of at least one user determines user type belonging at least one user.
Optionally, when above-mentioned data processing equipment executes program, at least one user can also be obtained from the picture of region
Facial image；By identifying the facial image of at least one user, the physical fitness information of at least one user is determined；It is based on
The physical fitness information of at least one user determines user type belonging at least one user.
Optionally, when above-mentioned data processing equipment executes program, region picture shooting instruction can also be obtained；According to region
Picture shooting instruction, obtains the monitoring picture of target area in air-conditioning, to obtain the monitoring picture of air-conditioning interior zone, wherein
Target area includes at least: filtering web area, heat exchanger zones, air-conditioner air outlet region.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of method of adjustment of air cleanliness characterized by comprising
Obtain the monitoring picture of air-conditioning interior zone；
The monitoring picture is analyzed, determines the corresponding pollution level of dirt on the air-conditioning interior zone；
Obtain air quality parameters；
According to the air quality parameters, the air parameter delta data of predeterminable area in preset time period is predicted, is obtained pre-
Survey result；
According to the prediction result and the pollution level, judge whether to need to adjust air cleanliness；
In the case where judging to need to adjust air cleanliness, starting air adjustment equipment to adjust air cleanliness,
Wherein, according to the air quality parameters, the air parameter delta data of predeterminable area in preset time period is predicted, is obtained
It include: the weather report parameters obtained in the preset time period to prediction result；According to air quality parameters and described
Weather report parameters predict the air parameter delta data of the predeterminable area, obtain the prediction result.
2. determining the air-conditioning the method according to claim 1, wherein analyzing the monitoring picture
The corresponding pollution level of dirt on interior zone includes:
The monitoring picture is analyzed by preset model, with the determination pollution level, wherein the preset model is
Obtained according to multi-group data by machine learning training, each group of data in the multi-group data include monitoring picture with
The corresponding relationship of pollution level.
3. the method according to claim 1, wherein in the case where judging to need to adjust air cleanliness,
Starting air adjusts equipment to adjust air cleanliness
In the case where judging to need to adjust air cleanliness, air is determined according to the prediction result and the pollution level
Adjusting parameter；
According to the air adjusting parameter, the target adjustment gear of air adjustment equipment is determined；
According to the target adjustment gear for the air adjustment equipment determined, start the air adjustment equipment；
The gear of air adjustment equipment is adjusted to the target adjustment gear, to adjust air cleanliness.
4. according to the method described in claim 3, it is characterized in that, in the case where judging to need to adjust air cleanliness,
Starting air adjusts equipment to adjust air cleanliness
Obtain the region picture of the predeterminable area；
The region picture is analyzed, to judge the predeterminable area with the presence or absence of user；
Judging that the predeterminable area there are in the case where user, determines user type；
According to the user type and the air adjusting parameter, starting time point and the starting of the air adjustment equipment are determined
Duration.
5. according to the method described in claim 4, it is characterized in that, the case where judging the predeterminable area there are users
Under, determine that user type includes:
The facial image of at least one user is obtained from the region picture；
The facial image of at least one user is identified, to determine the age stratum of at least one user；
User type belonging at least one described user is determined based on the age stratum of at least one user.
6. according to the method described in claim 4, it is characterized in that, the case where judging the predeterminable area there are users
Under, determine that user type includes:
The facial image of at least one user is obtained from the region picture；
By identifying the facial image of at least one user, the physical fitness information of at least one user is determined；
User type belonging at least one described user is determined based on the physical fitness information of at least one user.
7. the method according to claim 1, wherein the monitoring picture for obtaining air-conditioning interior zone includes:
Obtain region picture shooting instruction；
According to the region picture shooting instruction, the monitoring picture of target area in air-conditioning is obtained, to obtain inside the air-conditioning
The monitoring picture in region, wherein the target area includes at least: filtering web area, heat exchanger zones, air conditioning exhausting mouth region
Domain.
8. a kind of adjustment device of air cleanliness characterized by comprising
First acquisition unit, for obtaining the monitoring picture of air-conditioning interior zone；
Analytical unit determines the corresponding dirt of dirt on the air-conditioning interior zone for analyzing the monitoring picture
Dye degree；
Second acquisition unit, for obtaining air quality parameters；
Predicting unit, the air parameter for according to the air quality parameters, predicting predeterminable area in preset time period become
Change data, obtains prediction result；
Judging unit, for judging whether to need to adjust air cleanliness according to the prediction result and the pollution level；
Execution unit, in the case where judging to need to adjust air cleanliness, starting air adjustment equipment to be to adjust sky
Gas cleannes,
The predicting unit includes: the first acquisition module, for obtaining the weather report parameters in the preset time period；Prediction
Module, for predicting that the air parameter of the predeterminable area becomes according to the air quality parameters and the weather report parameters
Change data, obtains the prediction result.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 7 described in air cleanliness adjustment side
Method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 7 described in air cleanliness method of adjustment.
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| CN109358546B (en) * | 2018-10-29 | 2020-01-07 | 珠海格力电器股份有限公司 | Control method, device and system of household appliance |
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| CN108253587A (en) | 2018-07-06 |
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