CN110513319B - Fan control method and device, storage medium and fan - Google Patents

Fan control method and device, storage medium and fan Download PDF

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Publication number
CN110513319B
CN110513319B CN201910902156.1A CN201910902156A CN110513319B CN 110513319 B CN110513319 B CN 110513319B CN 201910902156 A CN201910902156 A CN 201910902156A CN 110513319 B CN110513319 B CN 110513319B
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wind sweeping
parameter
fan
parameters
target
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CN110513319A (en
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李维
张君明
李自强
陈青青
王绪
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04DNON-POSITIVE-DISPLACEMENT PUMPS
    • F04D25/00Pumping installations or systems
    • F04D25/02Units comprising pumps and their driving means
    • F04D25/08Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation
    • F04D25/10Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation the unit having provisions for automatically changing direction of output air
    • F04D25/105Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation the unit having provisions for automatically changing direction of output air by changing rotor axis direction, e.g. oscillating fans
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04DNON-POSITIVE-DISPLACEMENT PUMPS
    • F04D27/00Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Positive-Displacement Air Blowers (AREA)

Abstract

The invention provides a fan control method, a device, a storage medium and a fan, wherein the method comprises the following steps: detecting target facial features of a user in a preset wind sweeping area; if the detected target facial features comprise the human face features in the preset human face authentication data, acquiring target wind sweeping parameters matched with the target facial features; and controlling a fan to sweep the air of the air sweeping area according to the acquired target air sweeping parameters. According to the method and the device, the target facial features of the users in the wind sweeping area are detected, the corresponding wind sweeping parameters are matched for the users in the wind sweeping area, and the wind sweeping area is swept according to the matched wind sweeping parameters, so that accurate air supply of different users is realized, the personalized air supply requirements of the users are met, and the user experience is improved.

Description

Fan control method and device, storage medium and fan
Technical Field
The invention relates to the technical field of household appliances, in particular to a fan control method, a fan control device, a storage medium and a fan.
Background
With the improvement of the living standard, household appliances such as air conditioners, purifiers, electric fans, kitchen utensils, lighting equipment, washing machines, refrigerators and the like have become essential living necessities of people. Some household appliances are developed towards intellectualization firstly, so that users can obtain more comfortable, more personalized and more automatic use experience, but the electric fan still adopts the traditional mode to provide the air supply function.
Although many fans can provide a multi-gear air supply mode at present, the fans cannot automatically adjust the air speed for users with different requirements, and cannot accurately supply air for different users, so that the user experience is influenced.
Disclosure of Invention
The present invention is directed to overcoming the above-mentioned problems and providing a method and an apparatus for controlling a fan, a storage medium, and a fan.
In an aspect of an embodiment of the present invention, a method for controlling a fan is provided, where the method includes:
detecting target facial features of a user in a preset wind sweeping area;
if the detected target facial features comprise the human face features in the preset human face authentication data, acquiring target wind sweeping parameters matched with the target facial features;
and controlling a fan to sweep the air of the air sweeping area according to the acquired target air sweeping parameters.
Optionally, the detecting target facial features of the user in the preset wind sweeping area includes:
dividing a wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan;
and in the sweeping process of the fan, sequentially detecting the target facial features of the users in each sweeping area.
Optionally, the dividing, along the oscillating direction of the fan, the wind sweeping range of the fan into at least two continuous wind sweeping regions according to a preset identification angle includes:
s31, taking the initial angle of the fan as the initial angle of the current wind sweeping area;
s32, calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and taking the rotation angle as the termination angle of the current wind sweeping area and the starting angle of the adjacent wind sweeping area when the rotation angle is equal to the identification angle;
and S33, detecting whether the oscillating direction of the fan changes, if the oscillating direction of the fan does not change, returning to the step S32, and if the oscillating direction of the fan changes, returning to the step S31.
Optionally, the method further comprises:
and if the moving direction of the fan is detected to be changed when the rotating angle is smaller than the identification angle, taking the rotating angle as the termination angle of the current wind sweeping area, and returning to the step S31.
Optionally, the detecting whether the moving direction of the fan changes includes:
acquiring first image information and/or second image information acquired in real time in the shaking process of the fan, wherein the first image information and the second image information are images respectively acquired by two image acquisition devices arranged at two sides of the fan;
and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
Optionally, the acquiring target wind sweeping parameters matched with the target facial features includes:
when the target facial features comprise a plurality of human face features, acquiring a wind sweeping parameter matched with each human face feature, and optimizing each acquired wind sweeping parameter according to a preset parameter optimization rule to obtain the target wind sweeping parameter;
and when the target facial features only comprise one face feature, acquiring a wind sweeping parameter matched with the face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
Optionally, the optimizing the acquired wind sweeping parameters according to a preset parameter optimization rule to obtain the target wind sweeping parameters includes:
judging whether the wind sweeping parameters are the same or not;
if the wind sweeping parameters are the same as the target wind sweeping parameters, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in each wind sweeping parameter;
if so, taking the lowest wind sweeping parameter as the target wind sweeping parameter, otherwise, judging whether each wind sweeping parameter is lower than a preset standard wind sweeping parameter or higher than the preset standard wind sweeping parameter;
if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
Optionally, the taking the first mean parameter as the target wind sweeping parameter includes:
judging whether the preset wind sweeping parameter list contains the first mean value parameter or not;
if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
Optionally, the method further comprises:
and if the target facial features of the user are not detected in the preset wind sweeping area or the detected target facial features do not contain the facial features in the face authentication data, controlling the fan to keep the current wind sweeping parameters to sweep the wind in the wind sweeping area.
In another aspect of the embodiments of the present invention, there is provided a fan control apparatus, including:
the detection module is used for detecting target facial features of users in a preset wind sweeping area;
the acquisition module is used for acquiring a target wind sweeping parameter matched with the target facial feature if the detected target facial feature contains the human face feature in the preset human face authentication data;
and the control module is used for controlling the fan to sweep the wind in the wind sweeping area according to the obtained target wind sweeping parameters.
Optionally, the detection module includes:
the area dividing unit is used for dividing the wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan;
and the detection unit is used for sequentially detecting the target facial features of the users in each wind sweeping area in the wind sweeping process of the fan.
Optionally, the area dividing unit includes:
the first configuration subunit is used for taking the initial angle of the fan as the initial angle of the current wind sweeping area;
the second configuration subunit is used for calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and when the rotation angle is equal to the identification angle, the rotation angle is used as an ending angle of the current wind sweeping area and a starting angle of an adjacent wind sweeping area;
and the detection subunit is used for detecting whether the shaking direction of the fan changes or not, if the shaking direction of the fan does not change, the second configuration subunit is returned, and if the shaking direction of the fan changes, the first configuration subunit is returned.
Optionally, the detecting subunit is further configured to, if it is detected that the moving direction of the fan changes when the rotation angle is smaller than the identification angle, use the rotation angle as a termination angle of the current wind sweeping area, and return to the first configuration subunit.
Optionally, the detecting subunit is specifically configured to acquire first image information and/or second image information acquired in real time during a shaking process of the fan, where the first image information and the second image information are images respectively acquired by two image acquisition devices disposed on two sides of the fan;
and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
Optionally, the obtaining module includes:
the first acquisition unit is used for acquiring the wind sweeping parameters matched with the human face features when the target facial features comprise a plurality of human face features, and optimizing the acquired wind sweeping parameters according to a preset parameter optimization rule to obtain the target wind sweeping parameters;
and the second acquisition unit is used for acquiring a wind sweeping parameter matched with the face feature when the target face feature only contains one face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
Optionally, the first obtaining unit is specifically configured to determine whether each of the wind sweeping parameters is the same; if the wind sweeping parameters are the same, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters; if the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters, taking the lowest wind sweeping parameters as the target wind sweeping parameters, and otherwise, judging whether the wind sweeping parameters are all lower than preset standard wind sweeping parameters or all higher than the preset standard wind sweeping parameters; if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
Optionally, the first obtaining unit is specifically further configured to determine whether the preset wind sweeping parameter list includes the first mean value parameter; if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
Optionally, the control module is further configured to control the fan to keep the current wind sweeping parameter to sweep the preset wind sweeping area when the target facial feature of the user is not detected in the preset wind sweeping area or the detected target facial feature does not include the face feature in the face authentication data.
Furthermore, the invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
Furthermore, the present invention also provides a fan comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method as described above when executing the program.
According to the fan control method, the fan control device, the storage medium and the fan, the corresponding wind sweeping parameters are matched for the users in the wind sweeping area through detecting the target facial features of the users in the wind sweeping area, wind sweeping is conducted on the wind sweeping area according to the matched wind sweeping parameters, accurate air supply of different users is achieved, the personalized air supply requirements of the users are met, and user experience is effectively improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart illustrating a fan control method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a step S11 in the fan control method according to the embodiment of the present invention;
fig. 3 is a block diagram of a fan control device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Fig. 1 schematically shows a flow chart of a fan control method according to an embodiment of the present invention. Referring to fig. 1, the fan control method provided in the embodiment of the present invention specifically includes steps S11 to S13, as follows:
and S11, detecting the target facial features of the user in the preset wind sweeping area.
In the embodiment of the invention, a user previously networks a mobile device and a fan through WIFI, then enters human face characteristics through application software on the mobile device and sets the wind sweeping parameters matched with the human face characteristics according to the requirements of the user, and the fan receives and stores the human face characteristics of the user by using an internal storage medium. The left side and the right side of the fan are respectively provided with an image acquisition device and an image processing device which rotate together with the fan. The image acquisition device is used for acquiring image information in real time in the shaking process of the fan, and the image processing device is used for carrying out feature analysis on the image information acquired by the image acquisition device so as to identify facial features in the image information and analyze the shaking direction of the fan.
After the fan is turned on, a user can select whether to turn on the intelligent wind sweeping mode through key or gesture operation, the fan starts to work in the intelligent wind sweeping mode when the fan is turned on, the head shaking function is automatically turned on along with the fan, and the fan automatically exits the intelligent wind sweeping mode when the user turns off the head shaking function or turns off the fan.
In the embodiment of the invention, the area division is carried out on the wind sweeping range of the fan in advance, and when the fan starts to work in an intelligent wind sweeping mode, the target facial features of users in each preset wind sweeping area are detected through the image acquisition devices and the image processing devices which are arranged on the left side and the right side of the fan.
The target facial features are facial features of all users in the wind sweeping area, and may include a plurality of facial features or only one facial feature.
And S12, if the detected target facial features comprise the human face features in the preset human face authentication data, acquiring target wind sweeping parameters matched with the target facial features.
And S13, controlling the fan to sweep the wind area according to the obtained target wind sweeping parameters.
According to the fan control method provided by the embodiment of the invention, the corresponding wind sweeping parameters are matched for the users in the wind sweeping area through detecting the target facial features of the users in the wind sweeping area, and the wind sweeping area is swept according to the matched wind sweeping parameters, so that accurate air supply of different users is realized, the personalized air supply requirements of the users are met, and the user experience is effectively improved.
In the embodiment of the invention, if the target facial features of the user are not detected in the preset wind sweeping area or the detected target facial features do not contain the facial features in the human face authentication data, the fan is controlled to keep the current wind sweeping parameters to sweep the wind sweeping area so as to maintain the existing wind sweeping state.
In the embodiment of the present invention, as shown in fig. 2, the step S11 of detecting the target facial features of the user in the preset sweep area specifically includes steps S21 to S22, as follows:
s21, dividing a wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan;
and S22, sequentially detecting the target facial features of the users in each wind sweeping area in the wind sweeping process of the fan.
In this embodiment, in S21, the wind sweeping range of the fan is divided into at least two continuous wind sweeping areas according to the preset identification angle, and the specific implementation flow includes the following steps not shown in the drawings:
s31, taking the initial angle of the fan as the initial angle of the current wind sweeping area;
s32, calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and taking the rotation angle as the termination angle of the current wind sweeping area and the starting angle of the adjacent wind sweeping area when the rotation angle is equal to the identification angle;
and S33, detecting whether the oscillating direction of the fan changes, if the oscillating direction of the fan does not change, returning to the step S32, and if the oscillating direction of the fan changes, returning to the step S31.
Further, if it is detected that the oscillating direction of the fan has changed when the rotation angle is smaller than the recognition angle, the rotation angle is set as the end angle of the current wind sweeping area, and the process returns to step S31.
In this embodiment, after the intelligent sweeping mode is started, the step of setting the identification angle according to the actual use scene by the user is entered, and after the setting is completed, the fan starts to work in the intelligent sweeping mode and the shaking function is automatically started accordingly.
In one embodiment, when the fan works, the size of the wind sweeping area is determined according to the set identification angle, so that the wind sweeping range of the fan is divided into at least two continuous wind sweeping areas. In this example, the recognition angle is set to 60 °, and the oscillating fan in the 180 ° sweep range is described to divide the sweep region. The recognition angle is set to 60 °, and three windswept areas can be divided. Wherein 0-60 degrees is a first wind sweeping area; 60-120 degrees are second wind sweeping areas; and 120-180 degrees is a third wind sweeping area. The oscillating angle of the fan is calculated by a processor according to the formula: the rotation angle (°) is calculated as a rotation time(s) x rotation speed (°/s). The fan starting work processor synchronously calculates, the initial angle of the fan when the fan starts to work is the starting angle of the first wind sweeping area, when the fan works to the rotation time(s) x rotation speed (DEG/s) which is the identification angle, the position is the ending angle of the first wind sweeping area and the starting angle of the second wind sweeping area, and the rest of the subsequent areas are similar.
In this embodiment, whether the oscillating direction of the fan changes can be detected in the following manner, which specifically includes: acquiring first image information and/or second image information acquired in real time in the shaking process of the fan, wherein the first image information and the second image information are images respectively acquired by two image acquisition devices arranged at two sides of the fan; and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
Specifically, the fan collects facial features of users in each wind sweeping area through the assembled image collecting device, and meanwhile, the recognized facial features are sent to the controller to be compared with face authentication data stored in the fan. The two assembled image acquisition devices work in a switching mode according to the oscillating direction, when the fan oscillates from left to right, the image acquisition device on the right side works, and the image acquisition device on the left side is closed; when the fan shakes the head from right to left, the image acquisition device on the left side works, the image acquisition device on the right side is closed, so that the image information acquired in real time in the shaking process of the fan can be subjected to characteristic analysis to judge the shaking direction of the fan, when the shaking direction of the fan is changed, the rotation time of the fan is cleared, and each area is divided again according to the previous method.
In the embodiment of the present invention, the target facial features are facial features of all users in the sweep area, and may include a plurality of facial features or only one facial feature. Therefore, the acquiring the target wind sweeping parameter matched with the target facial feature specifically includes: when the target facial features comprise a plurality of faces, acquiring a wind sweeping parameter matched with each face feature, and optimizing each acquired wind sweeping parameter according to a preset parameter optimization rule to obtain the target wind sweeping parameter; and when the target facial features only comprise one face feature, acquiring a wind sweeping parameter matched with the face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
In a specific embodiment, in the working process of the fan in the intelligent sweeping mode, when a plurality of facial features are recognized in a sweeping area and more than one facial feature can find the corresponding facial feature in the stored face authentication data, the sweeping parameters stored in the internal storage medium of each facial feature are called, the sweeping parameters are optimized by the controller according to a preset parameter optimization rule, and the target sweeping parameters are obtained through analysis and calculation; when only one facial feature is recognized in one wind sweeping area and the facial feature can find the corresponding facial feature in the stored face authentication data, the wind sweeping parameters stored in the internal storage medium of the facial feature are called and used as target wind sweeping parameters; when the facial features are not recognized in a wind sweeping area or the corresponding facial features are not found in the stored face authentication data, the existing wind sweeping state is continuously kept to sweep the wind for the area.
Further, the optimizing each acquired wind sweeping parameter according to a preset parameter optimization rule to obtain the target wind sweeping parameter specifically includes:
judging whether the wind sweeping parameters are the same or not;
if the wind sweeping parameters are the same as the target wind sweeping parameters, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in each wind sweeping parameter;
if the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters, taking the lowest wind sweeping parameters as the target wind sweeping parameters, and otherwise, judging whether the wind sweeping parameters are all lower than preset standard wind sweeping parameters or all higher than the preset standard wind sweeping parameters;
if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
The taking the first mean value parameter as the target wind sweeping parameter specifically includes: judging whether the preset wind sweeping parameter list contains the first mean value parameter or not; if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
In one embodiment, when a plurality of facial features are recognized in one wind sweeping area and more than one facial feature can find the corresponding facial feature in the stored face authentication data, the wind sweeping parameters stored in the internal storage medium of the user corresponding to each facial feature are called. The wind speed gears are used as wind sweeping parameters for explanation, the wind speed which can be selected from a preset wind sweeping parameter list is 10 gears, the wind speed which can be selected from a preset wind sweeping parameter list is 1 gear which is the lowest gear, and when a corresponding user selects the lowest gear in a certain area, the fan sweeps the wind in the area at the lowest gear rotating speed; when the gears of the fan selected by a user in a certain area are all less than or equal to a preset standard wind sweeping parameter, namely 5 gears, and no 1 gear exists, taking the average value of all the gears selected by the user in the area as a final rotating speed, and when the calculated average value does not correspond to an optional gear, taking the closest gear smaller than the average value as a working gear; when the fan gears selected by users in a certain area are all larger than or equal to 5 gears, taking the average value of all the user-selected gears in the area as the final rotating speed, and when the calculated average value does not correspond to the selectable gear, taking the closest gear larger than the average value as the working gear; when the gear of the fan selected by a user in a certain area is less than or greater than 5, taking the average value of all the user-selected gears in the area and subtracting one gear to be the final working gear, and when the calculated average value does not correspond to the selectable gear, taking the most similar gear less than the average value as the working gear; when the fan gear position selected by a user in a certain area is the same, the fan takes the gear position as the final working gear position.
According to the fan control method provided by the embodiment of the invention, the size of each wind sweeping area is determined in advance according to the identification angle set by a user, the wind sweeping area division is realized, then the user of each wind sweeping area is identified by using the image acquisition device and the image processing device, the relatively comfortable wind sweeping state of the user in the area is calculated according to the expected wind sweeping parameters preset by each user, the fan is controlled to accurately supply air to the area according to the calculated value, and the user experience is improved.
For simplicity of explanation, the method embodiments are described as a series of acts or combinations, but those skilled in the art will appreciate that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the embodiments of the invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Fig. 3 schematically shows a structural diagram of a fan control device according to an embodiment of the present invention. Referring to fig. 3, the fan control apparatus according to the embodiment of the present invention specifically includes a detection module 101, an acquisition module 102, and a control module 103, where:
the detection module 101 is used for detecting target facial features of users in a preset wind sweeping area;
the acquiring module 102 is configured to acquire a target wind sweeping parameter matched with the target facial feature if the detected target facial feature includes a face feature in preset face authentication data;
and the control module 103 is used for controlling the fan to sweep the wind in the wind sweeping area according to the obtained target wind sweeping parameters.
In this embodiment of the present invention, the detection module 101 specifically includes an area dividing unit and a detection unit, where:
the area dividing unit is used for dividing the wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan;
and the detection unit is used for sequentially detecting the target facial features of the users in each wind sweeping area in the wind sweeping process of the fan.
Further, the area dividing unit specifically includes a first configuration subunit, a second configuration subunit, and a detection subunit, where:
the first configuration subunit is used for taking the initial angle of the fan as the initial angle of the current wind sweeping area;
the second configuration subunit is used for calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and when the rotation angle is equal to the identification angle, the rotation angle is used as an ending angle of the current wind sweeping area and a starting angle of an adjacent wind sweeping area;
and the detection subunit is used for detecting whether the shaking direction of the fan changes or not, if the shaking direction of the fan does not change, the second configuration subunit is returned, and if the shaking direction of the fan changes, the first configuration subunit is returned.
And the detection subunit is further configured to, if it is detected that the oscillating direction of the fan changes when the rotation angle is smaller than the identification angle, use the rotation angle as a termination angle of the current wind sweeping area, and return to the first configuration subunit.
In this embodiment, the detecting subunit is specifically configured to acquire first image information and/or second image information acquired in real time during a shaking process of the fan, where the first image information and the second image information are images respectively acquired by two image acquisition devices arranged on two sides of the fan; and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
In an embodiment of the present invention, the obtaining module specifically includes a first obtaining unit and a second obtaining unit, where:
the first acquisition unit is used for acquiring the wind sweeping parameters matched with the human face features when the target facial features comprise a plurality of human face features, and optimizing the acquired wind sweeping parameters according to a preset parameter optimization rule to obtain the target wind sweeping parameters;
and the second acquisition unit is used for acquiring a wind sweeping parameter matched with the face feature when the target face feature only contains one face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
In this embodiment, the first obtaining unit is specifically configured to determine whether each of the wind sweeping parameters is the same; if the wind sweeping parameters are the same, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters; if the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters, taking the lowest wind sweeping parameters as the target wind sweeping parameters, and otherwise, judging whether the wind sweeping parameters are all lower than preset standard wind sweeping parameters or all higher than the preset standard wind sweeping parameters; if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
Further, the first obtaining unit is specifically configured to determine whether the preset wind sweeping parameter list includes the first mean value parameter; if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
In this embodiment of the present invention, the control module 103 is further configured to control the fan to keep the current wind sweeping parameter to sweep the preset wind sweeping area when the target facial feature of the user is not detected in the preset wind sweeping area or the detected target facial feature does not include the face feature in the face authentication data.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
According to the fan control method, the fan control device, the storage medium and the fan, the corresponding wind sweeping parameters are matched for the users in the wind sweeping area through detecting the target facial features of the users in the wind sweeping area, wind sweeping is conducted on the wind sweeping area according to the matched wind sweeping parameters, accurate air supply of different users is achieved, the personalized air supply requirements of the users are met, and user experience is effectively improved.
Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method as described above.
In this embodiment, the integrated module/unit of the fan control device may be stored in a computer readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In addition, the present invention further provides a fan, where the fan provided in the embodiment of the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the steps in the above-mentioned various embodiments of the fan control method, such as S11 to S13 shown in fig. 1. Alternatively, the processor implements the functions of the modules/units in the fan control device embodiments when executing the computer program, such as the detection module 101, the acquisition module 102, and the control module 103 shown in fig. 3.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the fan control apparatus. For example, the computer program may be divided into a detection module 101, an acquisition module 102, and a control module 103.
The fan may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the fan in this embodiment may include more or fewer components, or some components may be combined, or different components, for example, the fan may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is the control center for the fan and connects the various parts of the overall fan using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the fan by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (16)

1. A method of controlling a fan, the method comprising:
detecting target facial features of a user in a preset wind sweeping area;
if the detected target facial features comprise the human face features in the preset human face authentication data, acquiring target wind sweeping parameters matched with the target facial features;
when the target facial features comprise a plurality of human face features, acquiring a wind sweeping parameter matched with each human face feature, and optimizing each acquired wind sweeping parameter according to a preset parameter optimization rule to obtain the target wind sweeping parameter;
the method for optimizing the acquired wind sweeping parameters according to a preset parameter optimization rule to obtain the target wind sweeping parameters comprises the following steps: judging whether the wind sweeping parameters are the same or not;
if the wind sweeping parameters are the same as the target wind sweeping parameters, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in each wind sweeping parameter;
if so, taking the lowest wind sweeping parameter as the target wind sweeping parameter, otherwise, judging whether each wind sweeping parameter is lower than a preset standard wind sweeping parameter or higher than the preset standard wind sweeping parameter;
controlling a fan to sweep the wind area according to the acquired target wind sweeping parameters;
wherein the detecting target facial features of the user within the preset wind sweeping area comprises: dividing a wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan; sequentially detecting target facial features of users in each wind sweeping area in the wind sweeping process of the fan;
wherein, along the direction of shaking the head of fan, according to the at least two continuous areas of sweeping the wind of the wind scope division of sweeping the fan of predetermined identification angle, include:
s31, taking the initial angle of the fan as the initial angle of the current wind sweeping area;
s32, calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and taking the rotation angle as the termination angle of the current wind sweeping area and the starting angle of the adjacent wind sweeping area when the rotation angle is equal to the identification angle;
and S33, detecting whether the oscillating direction of the fan changes, if the oscillating direction of the fan does not change, returning to the step S32, and if the oscillating direction of the fan changes, returning to the step S31.
2. The fan control method according to claim 1, further comprising:
and if the moving direction of the fan is detected to be changed when the rotating angle is smaller than the identification angle, taking the rotating angle as the termination angle of the current wind sweeping area, and returning to the step S31.
3. The fan control method according to claim 1, wherein the detecting whether a moving direction of the fan changes comprises:
acquiring first image information and/or second image information acquired in real time in the shaking process of the fan, wherein the first image information and the second image information are images respectively acquired by two image acquisition devices arranged at two sides of the fan;
and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
4. The fan control method according to claim 1, wherein the obtaining of the target sweep parameter that matches the target facial feature comprises:
and when the target facial features only comprise one face feature, acquiring a wind sweeping parameter matched with the face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
5. The fan control method according to claim 4, wherein the optimizing each acquired sweep parameter according to a preset parameter optimization rule to obtain the target sweep parameter comprises:
if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
6. The fan control method according to claim 5, wherein the taking the first mean value parameter as the target sweep parameter comprises:
judging whether the preset wind sweeping parameter list contains the first mean value parameter or not;
if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
7. The fan control method according to any one of claims 1 to 6, further comprising:
and if the target facial features of the user are not detected in the preset wind sweeping area or the detected target facial features do not contain the facial features in the face authentication data, controlling the fan to keep the current wind sweeping parameters to sweep the wind in the wind sweeping area.
8. A fan control apparatus, the apparatus comprising:
the detection module is used for detecting target facial features of users in a preset wind sweeping area;
the acquisition module is used for acquiring a target wind sweeping parameter matched with the target facial feature if the detected target facial feature contains the human face feature in the preset human face authentication data;
the control module is used for controlling the fan to sweep the wind in the wind sweeping area according to the obtained target wind sweeping parameters;
wherein, the detection module includes: the area dividing unit is used for dividing the wind sweeping range of the fan into at least two continuous wind sweeping areas according to a preset identification angle along the oscillating direction of the fan; the detection unit is used for sequentially detecting the target facial features of the users in each wind sweeping area in the wind sweeping process of the fan;
wherein the area dividing unit includes: the first configuration subunit is used for taking the initial angle of the fan as the initial angle of the current wind sweeping area; the second configuration subunit is used for calculating a rotation angle according to the rotation time of the fan and the corresponding rotation speed along the oscillating direction of the fan, and when the rotation angle is equal to the identification angle, the rotation angle is used as an ending angle of the current wind sweeping area and a starting angle of an adjacent wind sweeping area; and the detection subunit is used for detecting whether the shaking direction of the fan changes or not, if the shaking direction of the fan does not change, the second configuration subunit is returned, and if the shaking direction of the fan changes, the first configuration subunit is returned.
9. The fan control apparatus according to claim 8, wherein the detecting subunit is further configured to, if it is detected that the oscillating direction of the fan has changed when the rotation angle is smaller than the identification angle, take the rotation angle as an end angle of a current wind sweeping area, and return to the first configuration subunit.
10. The fan control device according to claim 8, wherein the detection subunit is configured to obtain first image information and/or second image information that are acquired in real time during a shaking process of the fan, where the first image information and the second image information are images respectively acquired by two image acquisition devices disposed on two sides of the fan;
and performing characteristic analysis on the first image information and/or the second image information, and determining the shaking direction of the fan according to a characteristic analysis result.
11. The fan control apparatus of claim 8, wherein the obtaining module comprises:
the first acquisition unit is used for acquiring the wind sweeping parameters matched with the human face features when the target facial features comprise a plurality of human face features, and optimizing the acquired wind sweeping parameters according to a preset parameter optimization rule to obtain the target wind sweeping parameters;
and the second acquisition unit is used for acquiring a wind sweeping parameter matched with the face feature when the target face feature only contains one face feature, and taking the acquired wind sweeping parameter as the target wind sweeping parameter.
12. The fan control device according to claim 11, wherein the first obtaining unit is specifically configured to determine whether each of the sweep parameters is the same; if the wind sweeping parameters are the same, taking the wind sweeping parameters as the target wind sweeping parameters, otherwise, judging whether the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters; if the wind sweeping parameters consistent with the lowest wind sweeping parameters in a preset wind sweeping parameter list exist in the wind sweeping parameters, taking the lowest wind sweeping parameters as the target wind sweeping parameters, and otherwise, judging whether the wind sweeping parameters are all lower than preset standard wind sweeping parameters or all higher than the preset standard wind sweeping parameters; if all the wind sweeping parameters are lower than or higher than the preset standard wind sweeping parameters, calculating a first mean value parameter of all the wind sweeping parameters, and taking the first mean value parameter as the target wind sweeping parameter, otherwise, calculating a second mean value parameter of all the wind sweeping parameters, and taking the wind sweeping parameters which are smaller than the second mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameters.
13. The fan control device according to claim 12, wherein the first obtaining unit is further configured to determine whether the preset sweep parameter list includes the first mean parameter; if so, taking the first mean value parameter as the target wind sweeping parameter, otherwise, taking the wind sweeping parameter smaller than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is lower than a preset standard wind sweeping parameter, and taking the wind sweeping parameter larger than the first mean value parameter in the preset wind sweeping parameter list as the target wind sweeping parameter when each wind sweeping parameter is higher than the preset standard wind sweeping parameter.
14. The fan control device according to any one of claims 8 to 13, wherein the control module is further configured to control the fan to keep the current sweep parameters to sweep the preset sweep area when the target facial features of the user are not detected in the preset sweep area or the detected target facial features do not include the facial features in the face authentication data.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
16. A fan comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method according to any of claims 1-7 are performed when the program is executed by the processor.
CN201910902156.1A 2019-09-24 2019-09-24 Fan control method and device, storage medium and fan Active CN110513319B (en)

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