CN107725453A - Fan and control method and system thereof - Google Patents
Fan and control method and system thereof Download PDFInfo
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- CN107725453A CN107725453A CN201710938898.0A CN201710938898A CN107725453A CN 107725453 A CN107725453 A CN 107725453A CN 201710938898 A CN201710938898 A CN 201710938898A CN 107725453 A CN107725453 A CN 107725453A
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000010801 machine learning Methods 0.000 claims abstract description 17
- 241000883990 Flabellum Species 0.000 claims description 19
- 238000004891 communication Methods 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 15
- 241001269238 Data Species 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000003909 pattern recognition Methods 0.000 claims description 5
- 241001075561 Fioria Species 0.000 claims description 4
- 238000012549 training Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 241000406668 Loxodonta cyclotis Species 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 230000010259 detection of temperature stimulus Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D25/00—Pumping installations or systems
- F04D25/02—Units comprising pumps and their driving means
- F04D25/08—Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/004—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids by varying driving speed
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a fan and a control method and a control system thereof. Wherein, the method comprises the following steps: acquiring image information of an air supply area of a fan; determining whether the image information contains a target object based on a first model, and acquiring first attribute information of the target object in the image under the condition that the image information contains the target object, wherein the first model is obtained through machine learning training according to a plurality of first sample data, and the first sample data comprises: the image information and the label corresponding to the image information are used for indicating whether the image information contains the target object and the first attribute information of the target object contained in the image information; and if the air supply area of the fan reaches the area where the target object is located, controlling the fan to adjust the operation parameters to the operation parameters corresponding to the first attribute information of the target object. The invention solves the technical problem of low intelligent degree of the fan in the prior art.
Description
Technical field
The present invention relates to home wiring control field, in particular to a kind of fan and its control method and system.
Background technology
With the popularization of intelligent appliance product, requirement more and more higher of the modern people for household appliances product, with realization pair
Fan functionality integrated optimization, but existing fan is usually simple more gear controls, and the simulation without the simulation of intelligence controls,
Prevent this product is from the ranks of the smart home effectively incorporated.Therefore different users and varying environment can not be met
Demand.
For fan in the prior art intelligence degree it is low the problem of, not yet propose effective solution at present.
The content of the invention
The embodiments of the invention provide a kind of fan and its control method and system, at least to solve fan in the prior art
The low technical problem of intelligence degree.
One side according to embodiments of the present invention, there is provided a kind of control method of fan, including：Obtain sending for fan
The image information in wind region；Determine whether image information includes destination object based on the first model, and mesh is included in image information
In the case of marking object, the first attribute information of destination object in image is obtained, wherein, the first model is according to multiple first samples
Data train to obtain by machine learning, and first sample data include：Label corresponding to image information and image information, label are used
First attribute information of the destination object included in whether instruction image information is comprising destination object and image information；If wind
The air-supply region of fan reaches region residing for destination object, and control fan adjusts operational factor to the first attribute letter of destination object
Operational factor corresponding to breath.
Further, in the case of not including destination object in image information, the pendulum wind velocity of fan is accelerated.
Further, in the case where the type of destination object is control main body, the second attribute letter of control main body is obtained
Breath, and according to the operational factor of the second attribute information adjustment fan；In the case where the type of destination object is target object, add
The pendulum wind velocity and/or reduction flabellum rotating speed of fast fan.
Further, the temperature in the second attribute information is obtained；It is less than preset temperature threshold value in the temperature of control main body
In the case of, when the air-supply region of fan, which reaches, controls region residing for main body, control fan accelerates pendulum wind velocity and/or reduced to fan
Leaf rotating speed.
Further, the age in the second attribute information is obtained based on the second model, wherein, the second model is according to multiple the
Two sample datas train to obtain by machine learning, and the second sample data includes：Control the image information of main body and for indicating
The label at the age of the control main body in image information；In the case where the age of control main body is less than default age threshold, inspection
Distance of the observing and controlling main body away from fan；When distance is less than pre-determined distance, control fan locking.
Further, the sex in the second attribute information is obtained based on the 3rd model, wherein, the 3rd model is according to multiple the
Three sample datas train to obtain by machine learning, and the 3rd sample data includes：Control the image information of main body and for indicating
The label of the sex of control main body in image information；Control main body sex be women in the case of, when the air-supply of fan
When region reaches region residing for control main body, control fan accelerates pendulum wind velocity and/or reduces flabellum rotating speed.
Further, the control instruction of detection control main body；When detecting the control instruction of control main body, according to described
Control instruction is controlled to the fan.
Further, the voice messaging received is detected, and the voice messaging is determined by parsing the voice messaging
In whether include the control instruction；Or the control instruction that detection is sent by the external communication device of the fan.
Another aspect according to embodiments of the present invention, a kind of control system of fan is additionally provided, including：Image collector
Put, the image information of the air-supply region for obtaining fan；Pattern recognition device, be connected with image collecting device, for based on
First model determines whether image information includes destination object, and in the case where image information includes destination object, obtains figure
The first attribute information of destination object as in, wherein, the first model is trained according to multiple first sample data by machine learning
Obtain, first sample data include：Label corresponding to image information and image information, label are used to indicate whether image information wraps
The first attribute information containing the destination object included in destination object and image information；Controller, it is connected with pattern recognition device,
If the air-supply region for fan reaches region residing for destination object, control fan adjusts operational factor to destination object
Operational factor corresponding to first attribute information.
Further, the first attribute information of the destination object includes the type of the destination object, wherein, the class
Type includes control main body and target object, and the controller is additionally operable in the situation that the type of the destination object is control main body
Under, the second attribute information of the control main body is obtained, and join according to the operation of second attribute information adjustment fan
Number；In the case where the type of the destination object is target object, accelerates the pendulum wind velocity of the fan and/or reduce flabellum
Rotating speed.
Further, fan also includes：Temperature collecting device, it is connected with controller, is for the type in destination object
In the case of controlling main body, the temperature that main body is controlled in the second attribute information is gathered；Wherein, controller is additionally operable in control main body
Temperature be less than preset temperature threshold value in the case of, when fan air-supply region reach control main body residing for region when, control wind
Fan accelerates pendulum wind velocity and/or reduces flabellum rotating speed.
Further, fan also includes：Infrared inductor, it is connected with controller, is for the type in destination object
In the case of controlling main body, detect and main body and the distance of fan are controlled in the second attribute information；Wherein, described image identification device
It is additionally operable to obtain the age for controlling main body described in second attribute information based on the second model, wherein, second model
Train to obtain by machine learning according to multiple second sample datas, second sample data includes：Control the image of main body
Information and the label at the age for indicating the control main body in described image information, the controller are additionally operable in the control
In the case that the age of main body is less than default age threshold, and the distance is less than pre-determined distance, the fan is controlled to lock.
Further, fan also includes：Voice module, it is connected with controller, for receiving voice messaging；Wherein, control
Device includes：Speech recognition equipment, for identifying in voice messaging whether include control instruction according to voice messaging.
Further, fan also includes：Wireless communication module, communicated with controller and external communication device, for receiving
The control instruction that external communication device is sent.
Another aspect according to embodiments of the present invention, additionally provides a kind of storage medium, and storage medium includes the journey of storage
Sequence, wherein, equipment performs the control method of above-mentioned any one fan where controlling storage medium when program is run.
Another aspect according to embodiments of the present invention, a kind of processor being additionally provided, processor is used for operation program, its
In, program performs the control method of above-mentioned any one fan when running.
Another aspect according to embodiments of the present invention, additionally provides a kind of fan, including the fan of above-mentioned any one
Control system.
In embodiments of the present invention, the image information of the air-supply region of fan is obtained, determines that image is believed based on the first model
Whether breath includes destination object, and in the case where image information includes destination object, obtains first of destination object in image
Attribute information, if the air-supply region of fan reaches region residing for destination object, control fan adjusts operational factor to target
Operational factor corresponding to first attribute information of object.Such scheme is determined by identifying the image information in fan air-supply region
First attribute information of destination object, so as to adjust the operational factor of fan according to the first attribute information of destination object, so as to
Corresponding with service accurately can be provided for a variety of destination objects in fan air-supply region, and then solve prior art
The low technical problem of the intelligence degree of middle fan.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of the control method of fan according to embodiments of the present invention；
Fig. 2 is the schematic diagram according to a kind of control method of optional fan of the embodiment of the present application；
Fig. 3 is the schematic diagram of the control system of fan according to embodiments of the present invention；And
Fig. 4 is the functional schematic according to a kind of control system of optional fan of the embodiment of the present application.
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.
Embodiment 1
According to embodiments of the present invention, there is provided a kind of embodiment of the control method of fan is, it is necessary to illustrate, in accompanying drawing
Flow the step of illustrating can be performed in the computer system of such as one group computer executable instructions, although also,
Show logical order in flow charts, but in some cases, can with different from order herein perform it is shown or
The step of description.
Fig. 1 is the flow chart of the control method of fan according to embodiments of the present invention, as shown in figure 1, this method is included such as
Lower step：
Step S102, obtain the image information of the air-supply region of fan.
Specifically, image collecting device can be arranged to fan head to obtain the image of the air-supply region of fan letter
Breath, when fan puts wind, air-supply region constantly changes, and the image information that image acquisition device arrives can also be according to blow zones
The change in domain and change.The cycle of image can be gathered with pre-set image harvester, so that image collecting device is according to week
Phase gathers the image information of current air-supply region.
Step S104, determine whether image information includes destination object based on the first model, and mesh is included in image information
In the case of marking object, the first attribute information of destination object in image is obtained, wherein, the first model is according to multiple first samples
Data train to obtain by machine learning, and first sample data include：Label corresponding to image information and image information, label are used
First attribute information of the destination object included in whether instruction image information is comprising destination object and image information.
Specifically, above-mentioned destination object can be the target object that any user or user specify, such as：Drink
Product or food etc., above-mentioned first attribute information can be used for the type for characterizing destination object, that is, be used to determine destination object to use
Family or target object.
In a kind of optional embodiment, following a variety of first sample data can be provided to carry out machine learning：Do not wrap
The image information and its label of destination object are included, includes the image information and its label of the destination object of the first attribute information.Will
As above sample data is sent into initial empty model and learnt so that model has the of the destination object that judges in image information
The ability of one attribute information, reuse the model that test data obtains to obtained study and test, in the feelings being successfully tested
The first attribute information for training obtained model to be determined for destination object in image information is determined under condition.
Step S106, if the air-supply region of fan reaches region residing for destination object, control fan adjusts operational factor
Operational factor corresponding to whole the first attribute information to destination object.
Specifically, the operational factor of said fans can include：Wind velocity and/or flabellum rotating speed are put, wherein, put wind velocity
For characterizing the rotating speed on fan head during wind is put, flabellum rotating speed is used for the air output for controlling fan, and flabellum rotating speed is bigger,
The air output of fan is bigger.
In above-mentioned steps, the first different attribute informations corresponds to the different operational factor of fan, and the first attribute information
Corresponding operational factor can be in the processor for default in fan, can also be by being artificially configured.
From the foregoing, it will be observed that the above embodiments of the present application obtain the image information of the air-supply region of fan, it is true based on the first model
Determine whether image information includes destination object, and in the case where image information includes destination object, obtain target pair in image
The first attribute information of elephant, if the air-supply region of fan reaches region residing for destination object, control fan adjusts operational factor
Operational factor corresponding to whole the first attribute information to destination object.Such scheme is by identifying that the image in fan air-supply region is believed
Cease to determine the first attribute information of destination object, join so as to adjust the operation of fan according to the first attribute information of destination object
Number, so as to accurately provide corresponding with service for a variety of destination objects in fan air-supply region, and then is solved
The low technical problem of the intelligence degree of fan in the prior art.
Optionally, according to the above embodiments of the present application, after the image information of air-supply region of fan is obtained, above-mentioned side
Method also includes：In the case of not including destination object in image information, accelerate the pendulum wind velocity of fan.
Specifically, in the case of not including destination object in image information, it may be determined that the air-supply region of fan does not have
Air-supply demand, therefore in order to reduce the energy consumption of fan, in the case of not including destination object in image information, accelerate fan
Wind velocity is put, so that fan can put wind faster, for the region air-supply with air-supply demand.
Optionally, according to the above embodiments of the present application, the first attribute information of destination object includes the type of destination object,
Wherein, type includes control main body and target object, when the air-supply region of fan reaches region residing for destination object, controls wind
Fan adjusts operational factor to operational factor corresponding to the first attribute information of destination object, including：
Step S1061, in the case where the type of destination object is control main body, obtain the second attribute letter of control main body
Breath, and according to the operational factor of the second attribute information adjustment fan.
Specifically, above-mentioned control main body can be user, control main body can be included by controlling the second attribute information of main body
Age, temperature, sex, with the information such as the distance of fan.
Step S1063, destination object type be target object in the case of, accelerate fan pendulum wind velocity and/or
Reduce flabellum rotating speed.
Specifically, above-mentioned target object can be the object for controlling main body selected, for example, user can select warm-served food, when
When air-supply region reaches region residing for warm-served food, accelerate the pendulum wind velocity of fan, quickly to leave region residing for warm-served food, or reduce fan
Leaf rotating speed, to reduce air output of the fan to region residing for warm-served food.
Further, fan can be with the preset model for being used to identify the dining state of control main body, so as to according to control
The dining state of main body is controlled to the operational factor of fan.
Optionally, according to the above embodiments of the present application, second attribute information for controlling main body is obtained, and according to described
Second attribute information adjusts the operational factor of the fan, including：
Step S10611, obtain the temperature that main body is controlled in the second attribute information.
Step S10613, in the case where the temperature of control main body is less than preset temperature threshold value, when the air-supply region of fan
When reaching region residing for control main body, control fan accelerates the pendulum wind velocity of the fan and/or reduces flabellum rotating speed.
In a kind of optional embodiment, the temperature of user can be detected by temperature sensor, due to each user couple
The perception of temperature may be different, cause temperature of each user under same environment also to differ, thus such scheme with
In the case that the temperature at family is less than preset temperature, reduces the rotating speed of fan or accelerate pendulum wind velocity, it is relatively low to temperature so as to reduce
User air output.
Optionally, according to the above embodiments of the present application, second attribute information for controlling main body is obtained, and according to described
Second attribute information adjusts the operational factor of the fan, including：
Step S10615, the age that main body is controlled in second attribute information is obtained based on the second model, wherein, it is described
Second model trains to obtain according to multiple second sample datas by machine learning, and second sample data includes：Control master
The image information of body and the label at the age for indicating the control main body in described image information.
In above-mentioned steps, the age information of control main body is determined based on the second model, in a kind of optional embodiment,
Second sample data can include：The image information of control main body comprising all age group, and for indicating to control main body
The label at age, initial model is trained to obtain the second model using above-mentioned second sample data, so that the second model is known
Not Kong Zhi the degree of accuracy at age of main body be higher than the default degree of accuracy.
Step S10617, in the case where the age of destination object is less than default age threshold, detect the second attribute information
Middle control distance of the main body away from fan.
Specifically, in above-mentioned steps, can be by way of infrared human body sensing between detected target object and fan
Distance.
Step S10619, when distance is less than pre-determined distance, control fan locking.
In a kind of optional embodiment, it is 10 years old to set default age threshold, and pre-determined distance is 0.3 meter, is passing through figure
As information identifies that the age for determining destination object is less than 10 years old, and apart from the case that the distance of fan is less than 0.3 meter, in order to anti-
Only children closely produce very much dangerous apart from fan, and control fan locking is with out of service.
Optionally, according to the above embodiments of the present application, second attribute information for controlling main body is obtained, and according to described
Second attribute information adjusts the operational factor of the fan, including：
Step S10621, the sex that main body is controlled in second attribute information is obtained based on the 3rd model, wherein, it is described
3rd model trains to obtain according to multiple 3rd sample datas by machine learning, and the 3rd sample data includes：Control master
The label of the image information of body and the sex for indicating the control main body in described image information；
Step S10623, control main body sex be women in the case of, when fan air-supply region reach control master
Residing for body during region, control fan accelerates the pendulum wind velocity of the fan and/or reduces flabellum rotating speed.
Under same temperature environment, usual women has relatively low air-supply demand for male, therefore when identification
When to go out to control main body be women, reduce the air output to women by accelerating pendulum wind velocity and/or reducing flabellum rotating speed, so that
It can be felt comfortably cool using the masculinity and femininity of same fan.
Optionally, according to the above embodiments of the present application, operational factor is adjusted to the target pair controlling the fan
Corresponding to the first attribute information of elephant while operational factor, the above method also includes：
Step S108, the control instruction of detection control main body.
In the control process of fan, the control instruction of real-time measure and control main body, as a kind of optional embodiment, inspection
Surveying the control instruction of destination object can include：The voice messaging received is detected, and voice is determined by parsing voice messaging
Whether include control instruction in information；Or the control instruction that detection is sent by the external communication device of fan.For example, it can pass through
The mobile terminal to be communicated with fan issues control instruction to fan.
Step S1010, when detecting the control instruction of control main body, fan is controlled according to control instruction.
In above-mentioned steps, when detecting the control instruction of control main body, fan is controlled according to control instruction,
So as to have highest to control priority the control instruction for controlling main body, so that user's request can not be met in the intelligent control of fan
In the case of fan, and then the further comfort level for improving user controlled with user instruction.
Further, in the case where being not detected by control instruction, keep controlling the fan by operational factor adjust to
Operational factor corresponding to first attribute information of the destination object.
In a kind of optional embodiment, user A is women, then, can root when fan pendulum wind reaches region residing for user A
The rotating speed of flabellum is reduced according to recognition result or accelerates pendulum wind velocity, but user A is larger to the demand of the air output of fan, therefore use
Family A can change the flabellum rotating speed of fan or pendulum wind velocity by issuing control instruction to fan, so as to make user A more
Comfortably.
Above-mentioned steps are applied to the intelligent control result and the unmatched situation of user institute required airflow of fan, and the application is above-mentioned
The control method for the fan that embodiment proposes can not only meet the demand of multiple users in same environment simultaneously, additionally it is possible to
Meet the single demand of user, so that user has higher comfort level.
Fig. 2 be according to a kind of schematic diagram of the control method of optional fan of the embodiment of the present application, with reference to shown in Fig. 2,
The gear that fan selects after startup optimization according to user is blown, meanwhile, the image information in acquisition fan air-supply region,
By the type of the first attribute information, i.e. destination object that destination object is determined to identification image information, according to destination object
First attribute information is target object or control main body, fan is controlled respectively, with the pendulum wind velocity by changing fan
The actual air output of fan is adjusted with flabellum rotating speed.In the case that destination object is target object, according to what is pre-set
Operational factor corresponding to object adjusts the operational factor of fan.When the feelings that the first attribute information of destination object is control main body
Under condition, the age of main body is controlled by analyzing image information analysis, and sense by infrared human body and determine that the age is less than preset value
Control main body and fan distance, determine that to control main body be children, works as detection when controlling the age of main body to be less than preset value
When the children arrived and the distance of fan are less than pre-determined distance, fan is turned off, to be protected to children.At the same time it can also root
Controlled in wireless is carried out to the gear of fan according to by the terminal device that wireless network communicates with fan, so as to adjust the reality of fan
Air output.
Embodiment 2
According to embodiments of the present invention, there is provided a kind of embodiment of the control system of fan, Fig. 3 are implemented according to the present invention
The schematic diagram of the control system of the fan of example, as shown in figure 3, the system includes：
Image collecting device 30, the image information of the air-supply region for obtaining fan.
Pattern recognition device 32, is connected with image collecting device, for determining whether image information wraps based on the first model
Containing destination object, and in the case where image information includes destination object, the first attribute information of destination object in image is obtained,
Wherein, the first model trains to obtain according to multiple first sample data by machine learning, and first sample data include：Image is believed
Label corresponding to breath and image information, label are used to indicate whether image information includes what is included in destination object and image information
First attribute information of destination object.
Controller 34, is connected with pattern recognition device, if the air-supply region for fan reaches area residing for destination object
Domain, control fan adjust operational factor to operational factor corresponding to the first attribute information of destination object.
Optionally, the target pair is included according to the above embodiments of the present application, the first attribute information of the destination object
The type of elephant, wherein, the type includes control main body and target object, the controller are additionally operable in the destination object
In the case that type is control main body, the second attribute information of the control main body is obtained, and according to second attribute information
Adjust the operational factor of the fan；In the case where the type of the destination object is target object, accelerate the fan
Put wind velocity and/or reduce flabellum rotating speed.
Optionally, also included according to the above embodiments of the present application, the fan：
Temperature collecting device, it is connected with the controller, in the feelings that the type of the destination object is control main body
Under condition, the temperature that main body is controlled in the second attribute information is gathered；Wherein, the controller is additionally operable to the temperature in the control main body
In the case that degree is less than preset temperature threshold value, when region residing for the air-supply region arrival control main body of the fan, control
The fan is made to accelerate pendulum wind velocity and/or reduce flabellum rotating speed.
Optionally, also included according to the above embodiments of the present application, the fan：
Infrared inductor, it is connected with the controller, in the feelings that the type of the destination object is control main body
Under condition, detect and main body and the distance of the fan are controlled in the second attribute information；Wherein, described image identification device is additionally operable to base
The age that main body is controlled described in second attribute information is obtained in the second model, wherein, second model is according to multiple
Second sample data trains to obtain by machine learning, and second sample data includes：Control the image information and use of main body
In the label at the age for indicating the control main body in described image information, the controller is additionally operable to the year in the control main body
In the case that age is less than default age threshold, and the distance is less than pre-determined distance, the fan is controlled to lock.
Optionally, also included according to the above embodiments of the present application, the fan：
Voice module, it is connected with the controller, for receiving voice messaging；Wherein, the controller includes：Voice is known
Other device, for identifying in the voice messaging whether include control instruction according to the voice messaging.
Optionally, also included according to the above embodiments of the present application, the fan：
Wireless communication module, communicated with the controller and external communication device, for receiving the external communication device
The control instruction of transmission.
The control system of said fans can also realize the control method of other fans in embodiment 1, and here is omitted.
Fig. 4 is according to a kind of functional schematic of the control system of optional fan of the embodiment of the present application, with reference to Fig. 4 institutes
Showing, master control IC is controller, and the control system of fan can complete the multiple functions shown in Fig. 4 by above-mentioned hardware, including：
Image recognition, temperature acquisition, radio communication, gear selection, Voice command and status display etc..
Embodiment 3
According to embodiments of the present invention, there is provided a kind of storage medium, storage medium include the program of storage, wherein, in institute
State the control method that equipment where controlling the storage medium during program operation performs any one fan in embodiment 1 to 8.
Embodiment 4
According to embodiments of the present invention, there is provided a kind of processor, processor are used for operation program, wherein, described program fortune
The control method of the fan of any one in embodiment 1 is performed during row.
Embodiment 5
According to embodiments of the present invention, there is provided the control system of any one fan in a kind of fan, including embodiment 2.
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 (17)
- A kind of 1. control method of fan, it is characterised in that including：Obtain the image information of the air-supply region of the fan；Determine whether described image information includes destination object based on the first model, and contain the target in described image packet In the case of object, the first attribute information of destination object in described image is obtained, wherein, first model is according to multiple the One sample data trains to obtain by machine learning, and the first sample data include：Image information and described image information pair The label answered, the label include for indicating whether described image information is included in the destination object and described image information Destination object the first attribute information；If region residing for the air-supply region arrival destination object of the fan, controls the fan to adjust operational factor To operational factor corresponding to the first attribute information of the destination object.
- 2. according to the method for claim 1, it is characterised in that obtain the air-supply region of the fan image information it Afterwards, methods described also includes：In the case of not including the destination object in described image information, accelerate the pendulum wind velocity of the fan.
- 3. according to the method for claim 1, it is characterised in that the first attribute information of the destination object includes the mesh The type of object is marked, wherein, the type includes control main body and target object, when described in the air-supply region arrival of the fan Residing for destination object during region, the first attribute information for controlling the fan to adjust operational factor to the destination object corresponds to Operational factor, including：In the case where the type of the destination object is the control main body, the second attribute letter of the control main body is obtained Breath, and according to the operational factor of second attribute information adjustment fan；In the case where the type of the destination object is target object, accelerates the pendulum wind velocity of the fan and/or reduce fan Leaf rotating speed.
- 4. according to the method for claim 3, it is characterised in that obtain the second attribute information of the control main body, and root The operational factor of the fan is adjusted according to second attribute information, including：Obtain the temperature that main body is controlled described in second attribute information；In the case where the temperature of the control main body is less than preset temperature threshold value, when described in the air-supply region arrival of the fan When controlling region residing for main body, control the fan to accelerate pendulum wind velocity and/or reduce flabellum rotating speed.
- 5. according to the method for claim 3, it is characterised in that obtain the second attribute information of the control main body, and root The operational factor of the fan is adjusted according to second attribute information, including：The age that main body is controlled described in second attribute information is obtained based on the second model, wherein, the second model root Train to obtain by machine learning according to multiple second sample datas, second sample data includes：Control the image letter of main body Breath and the label at the age for indicating the control main body in described image information；In the case where the age of the control main body is less than default age threshold, detects and controlled described in second attribute information Distance of the main body processed away from the fan；When the distance is less than pre-determined distance, the fan is controlled to lock.
- 6. according to the method for claim 3, it is characterised in that obtain the second attribute information of the control main body, and root The operational factor of the fan is adjusted according to second attribute information, including：The sex that main body is controlled described in second attribute information is obtained based on the 3rd model, wherein, the 3rd model root Train to obtain by machine learning according to multiple 3rd sample datas, the 3rd sample data includes：Control the image letter of main body The label of breath and the sex for indicating the control main body in described image information；In the case where the sex for controlling main body is women, when the air-supply region of the fan reaches the control main body institute When locating region, control the fan to accelerate pendulum wind velocity and/or reduce flabellum rotating speed.
- 7. the method according to any one in claim 1 to 6, it is characterised in that join controlling the fan to run Number is adjusted to while operational factor, methods described also includes corresponding to the first attribute information of the destination object：The control instruction of detection control main body；When detecting the control instruction of the control main body, the fan is controlled according to the control instruction.
- 8. according to the method for claim 7, it is characterised in that the control instruction of the destination object is detected, including：The voice messaging received is detected, and whether is determined by parsing the voice messaging in the voice messaging including described Control instruction；OrThe control instruction that detection is sent by the external communication device of the fan.
- A kind of 9. control system of fan, it is characterised in that including：Image collecting device, the image information of the air-supply region for obtaining the fan；Pattern recognition device, it is connected with described image harvester, for whether determining described image information based on the first model Comprising destination object, and in the case where described image packet contains the destination object, destination object in described image is obtained The first attribute information, wherein, first model trains to obtain according to multiple first sample data by machine learning, described First sample data include：Label corresponding to image information and described image information, the label are used to indicate that described image is believed Whether breath includes the first attribute information of the destination object included in the destination object and described image information；Controller, it is connected with described image identification device, if the air-supply region for the fan reaches the destination object Residing region, control the fan to adjust operational factor to operation corresponding to the first attribute information of the destination object and join Number.
- 10. system according to claim 9, it is characterised in that the first attribute information of the destination object includes described The type of destination object, wherein, the type includes control main body and target object,The controller is additionally operable to, in the case where the type of the destination object is the control main body, obtain the control master Second attribute information of body, and according to the operational factor of second attribute information adjustment fan；In the destination object Type be target object in the case of, accelerate the fan pendulum wind velocity and/or reduce flabellum rotating speed.
- 11. system according to claim 10, it is characterised in that the fan also includes：Temperature collecting device, it is connected with the controller, for being the feelings for controlling main body in the type of the destination object Under condition, the temperature that main body is controlled described in second attribute information is gathered；Wherein, the controller is additionally operable in the case where the temperature of the control main body is less than preset temperature threshold value, when described When the air-supply region of fan reaches region residing for the control main body, control the fan to accelerate pendulum wind velocity and/or reduce fan Leaf rotating speed.
- 12. system according to claim 10, it is characterised in that the fan also includes：Infrared inductor, it is connected with the controller, for being the feelings for controlling main body in the type of the destination object Under condition, detect and main body and the distance of the fan are controlled described in second attribute information；Wherein, described image identification device is additionally operable to obtain based on the second model controls main body described in second attribute information Age, wherein, second model trains to obtain according to multiple second sample datas by machine learning, second sample Data include：Control the image information and the label at the age for indicating the control main body in described image information of main body, institute State controller to be additionally operable to be less than default age threshold at the age of the control main body, and the distance is less than the feelings of pre-determined distance Under condition, the fan is controlled to lock.
- 13. system according to claim 9, it is characterised in that the fan also includes：Voice module, it is connected with the controller, for receiving voice messaging；Wherein, the controller includes：Speech recognition equipment, it is for being identified according to the voice messaging in the voice messaging It is no to include control instruction.
- 14. system according to claim 9, it is characterised in that the fan also includes：Wireless communication module, communicate with the controller and external communication device, sent for receiving the external communication device Control instruction.
- A kind of 15. 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 fan in equipment perform claim requirement 1 to 8 described in any one control method.
- A kind of 16. 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 control method of the fan described in any one in 1 to 8.
- 17. a kind of fan, it is characterised in that include the control system of the fan described in any one in claim 9 to 14.
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| CN201710938898.0A CN107725453B (en) | 2017-10-09 | 2017-10-09 | Fan and control method and system thereof |
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| CN201710938898.0A CN107725453B (en) | 2017-10-09 | 2017-10-09 | Fan and control method and system thereof |
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| CN108361218A (en) * | 2018-05-21 | 2018-08-03 | 上海理工大学 | A kind of intelligent fan |
| CN109098994A (en) * | 2018-08-13 | 2018-12-28 | 广东美的环境电器制造有限公司 | The control method of fan based on air-supply type definition, apparatus and system |
| CN109406819A (en) * | 2018-12-17 | 2019-03-01 | 上海集成电路研发中心有限公司 | A method of measurement rotation speed of the fan |
| CN111237232A (en) * | 2020-01-20 | 2020-06-05 | 浪尖设计集团有限公司 | Fan self-defining method and fan |
| CN111412153A (en) * | 2020-03-31 | 2020-07-14 | 佛山市云米电器科技有限公司 | Air supply mode operation method, system and computer readable storage medium |
| CN113076782A (en) * | 2020-01-03 | 2021-07-06 | 佛山市云米电器科技有限公司 | Fan control method, device and computer readable storage medium |
| WO2022027993A1 (en) * | 2020-08-03 | 2022-02-10 | 广东美的环境电器制造有限公司 | Electric fan control method and apparatus, electric fan, and computer readable storage medium |
| WO2022217938A1 (en) * | 2021-04-15 | 2022-10-20 | 青岛海尔空调器有限总公司 | Rotation speed adjustment method and apparatus for air deflector, and air conditioner |
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