CN112923537A - Air conditioner control method, air conditioner and computer readable storage medium - Google Patents
Air conditioner control method, air conditioner and computer readable storage medium Download PDFInfo
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- CN112923537A CN112923537A CN201911244451.9A CN201911244451A CN112923537A CN 112923537 A CN112923537 A CN 112923537A CN 201911244451 A CN201911244451 A CN 201911244451A CN 112923537 A CN112923537 A CN 112923537A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/79—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/08—Air-flow control members, e.g. louvres, grilles, flaps or guide plates
- F24F13/10—Air-flow control members, e.g. louvres, grilles, flaps or guide plates movable, e.g. dampers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Fluid Mechanics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application provides an air conditioner control method, an air conditioner and a computer readable storage medium, wherein the method comprises the following steps: determining whether a user exists in a blowing area of the air conditioner; if a user exists in the blowing area of the air conditioner, acquiring sign data of the user; acquiring a target image including the user, and acquiring clothing attribute information of the user according to the target image; and determining a blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, and operating according to the blowing strategy. This application can intelligent control air conditioner air supply for the user does not receive the adverse effect that the straight-face air conditioner bloies and brings, improves the intelligent degree of air conditioner, very big improvement user experience.
Description
Technical Field
The present application relates to the field of intelligent air conditioners, and in particular, to an air conditioner control method, an air conditioner, and a computer-readable storage medium.
Background
Nowadays, an air conditioner is a necessary product for daily life of people, and the temperature of the existing air conditioner can be manually adjusted by a user, or the air conditioner automatically adjusts the temperature according to the temperature of the external environment or the body temperature of the user, and the like. Along with the development of intelligent technology, the air conditioner also can confirm user's comfort level according to the humiture of indoor environment to control the air conditioner according to user's comfort level and adjust the temperature.
However, the above air-conditioning control methods are all based on a method that a user is not located in an air-conditioning blowing area, and if the user is in an air-conditioning blowing state directly, the body surface temperature of the user changes rapidly, which is likely to cause discomfort. For example, some users dislike the cold air blowing, and are very vulnerable to diseases when the users are directly in the cold air blowing of the air conditioner and the clothes worn by the users are not warm enough.
Therefore, how to provide a more intelligent air conditioner control method is an urgent problem to be solved at present.
Disclosure of Invention
The present disclosure is directed to an air conditioner control method, an air conditioner and a computer readable storage medium, and aims to provide a more intelligent air conditioner control method.
In a first aspect, the present application provides an air conditioning control method, including:
determining whether a user exists in a blowing area of the air conditioner;
if a user exists in the blowing area of the air conditioner, acquiring sign data of the user; and
acquiring a target image including the user, and acquiring clothing attribute information of the user according to the target image;
and determining a blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, and operating according to the blowing strategy.
In a second aspect, the present application also provides an air conditioner comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the air conditioner control method as described above.
In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements the steps of the air conditioner control method as described above.
The application provides an air conditioner control method, an air conditioner and a computer readable storage medium, when a user is determined to exist in an air blowing area of the air conditioner, sign data of the user and a target image including the user are obtained, clothing attribute information of the user is obtained according to the target image, then an air blowing strategy of the air conditioner is determined according to the sign data and the clothing attribute information, the air conditioner can be intelligently controlled to blow air according to the air blowing strategy, the user is enabled not to be affected by air blowing of a straight-face air conditioner, the intelligent degree of the air conditioner is improved, and user experience is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an air conditioner control method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an air conditioner blower in an embodiment of the present application;
FIG. 3 is a flow chart illustrating sub-steps of the air conditioning control method of FIG. 1;
fig. 4 is a schematic view of a scene for implementing the air conditioner control method according to the embodiment;
fig. 5 is a schematic block diagram of a structure of an air conditioner according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation. In addition, although the division of the functional blocks is made in the device diagram, in some cases, it may be divided in blocks different from those in the device diagram.
The embodiment of the application provides an air conditioner control method, an air conditioner and a computer readable storage medium. The air conditioner control method can be applied to an air conditioner or control equipment, and the air conditioner can be a wall-mounted air conditioner, a vertical cabinet air conditioner, a window air conditioner, a ceiling air conditioner and the like. The control equipment can be electronic equipment such as a mobile phone, a tablet personal computer, a notebook computer and a desktop computer, and also can be intelligent equipment such as an intelligent refrigerator, an intelligent television and an intelligent washing machine. The following explanation will be given taking an example in which the air conditioning control method is applied to an air conditioner.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating an air conditioner control method according to an embodiment of the present disclosure.
As shown in fig. 1, the air conditioning control method includes steps S101 to S104.
And S101, determining whether a user exists in the blowing area of the air conditioner.
When the air conditioner is in an open state, the air conditioner supplies air outwards through the air deflector, wherein the air conditioner can be a wall-mounted air conditioner or a vertical cabinet air conditioner and the like, the air deflector is used for controlling the air supply direction of the air conditioner, and the air supply can be cold air, normal-temperature air or warm air. When a user receives air blowing of the air conditioner, namely the user is directly in the air blowing state of the air conditioner, whether the user exists in the air blowing area of the air conditioner or not needs to be determined so as to perform subsequent processing, discomfort caused by stimulation of air blowing of the air conditioner is avoided, and control of the air conditioner is more intelligent.
In one embodiment, a user controls the air conditioner to be started through a button, a control or a remote controller, after the air conditioner is started, a camera installed on the air conditioner shoots an image of a blowing area of the air conditioner, and whether the user exists in an actual area corresponding to the blowing area in the image is judged according to the image. Wherein, this camera can be monocular camera or binocular camera, also can be 2D camera or degree of depth camera, and this application does not do specifically and restricts. It should be noted that the camera may be set at a fixed point, and the air blowing area of the air conditioner may also be set in advance.
Illustratively, as shown in fig. 2, the camera a is fixedly installed on the top of the air conditioner, and an area B, which may be a three-dimensional space area, is set as a blowing area of the air conditioner according to the actual situation of the air conditioner. The camera A collects images in the range of the area B, the collected images are sent to a processor of the air conditioner, and whether a user exists in the images or not is judged through the processor.
The specific method for judging whether the user exists in the image may be: detecting whether the face of the user exists in the image or not through a face recognition technology, and if the face of the user exists in the image, determining that the user is in the blowing area of the air conditioner; if the face of the user is not detected in the image, the user is not considered to be in the blowing area of the air conditioner. The face recognition technology comprises face recognition of geometric features, face recognition based on feature face (PCA), face recognition of a neural network, face recognition of elastic image matching and the like.
It can be understood that the image including the user can also be collected by a camera installed on other equipment or by a monitoring system, and then the image is sent to the air conditioner, and the air conditioner determines whether the user is in the blowing area of the air conditioner according to the received image.
Specifically, after the air conditioner receives the image including the user, the method for determining whether the user is in the blowing area of the air conditioner comprises the following steps: first relative position information between the user and the camera can be determined according to the received image; acquiring second relative position information between the air conditioner and the camera, and obtaining third relative position information between the user and the air conditioner according to the first relative position information and the second relative position information; acquiring a current blowing strategy of the air conditioner, and determining a blowing area of the air conditioner according to the current blowing strategy; and determining whether a user exists in the blowing area of the air conditioner according to the third relative position information and the blowing area of the air conditioner.
It should be noted that the second relative position information between the air conditioner and the camera may be preset according to actual conditions, the first relative position information, the second relative position information, and the third relative position information may be relative position coordinates, and another piece of relative position information may be obtained through any two pieces of relative position information among the first relative position information, the second relative position information, and the third relative position information. The blowing area of the air conditioner can be determined through a blowing mode, a blowing gear and a temperature control gear in a blowing strategy, whether a user is in the blowing area of the air conditioner is determined through third relative position information between the user and the air conditioner, and if the relative position information corresponding to the blowing area of the air conditioner comprises the third relative position information, the user is determined to be in the blowing area of the air conditioner.
In one embodiment, position information of a user is acquired, and whether the user is located in a blowing area of an air conditioner is determined according to the position information. It should be noted that the air conditioner can be in communication connection with the intelligent wearable device worn by the user, and the position information of the user is acquired through the intelligent wearable device; or, acquiring the position information of the user through other indoor human body positioning technologies, wherein the indoor human body positioning technologies include, but are not limited to, an infrared positioning technology, an ultrasonic indoor positioning technology, a Radio Frequency Identification (RFID) indoor positioning technology, a ZigBee indoor positioning technology, a bluetooth indoor positioning technology, and the like. Alternatively, the air conditioner may collect an image including the user, and determine relative location information between the user and the air conditioner from the image. The present application is not particularly limited.
Further, the specific method for determining whether the user is located in the blowing area of the air conditioner according to the location information includes: acquiring a current blowing strategy of the air conditioner, determining a blowing area of the air conditioner according to the current blowing strategy, and determining a position information set of the blowing area; and determining whether the user is located in the blowing area of the air conditioner according to the position information set and the position information of the user. Wherein, should blow the tactics at present and include at least one kind in mode, the gear of blowing and the control by temperature change gear, should blow the mode and include fixed blowing and sweep the air supply.
It should be noted that the blowing area of the air conditioner may be preset, or may be determined based on a blowing mode, a blowing gear and/or a temperature control gear in a blowing strategy. It can be understood that, if the air conditioner is in a blowing mode of sweep blowing, the blowing area of the air conditioner is larger when the angular range of the sweep blowing is larger; if the air conditioner is in a fixed blowing mode, the blowing area of the air conditioner is larger when the blowing angle of the air deflector of the air conditioner is larger (closer to the horizontal). Similarly, if the blowing gear of the air conditioner is larger, the blowing area of the air conditioner is larger; the smaller the blowing gear of the air conditioner is, the smaller the blowing area of the air conditioner is. When the temperature control gear is smaller than a preset gear threshold value, the air blowing area of the air conditioner is increased to a preset area, optionally, the preset gear threshold value is 20 ℃, and the preset area is an area within a range of 1 meter outside the air blowing area. The present application is not particularly limited.
Specifically, the method for determining whether the user is located in the blowing area of the air conditioner includes: and judging whether the position information of the user is located in the position information set, if the position information of the user is located in the position information set of the blowing area, considering that the user is located in the blowing area of the air conditioner, and if the position information of the user is not located in the position information set of the blowing area, considering that the user is not located in the blowing area of the air conditioner. The position information may be a three-dimensional position coordinate, and the position information set may be a set of three-dimensional position coordinates. Optionally, the position information of the user may be a three-dimensional position coordinate of the face of the user or a three-dimensional position coordinate of the intelligent wearable device, and the position information set of the blowing area is formed by combining the three-dimensional position coordinates of the blowing area.
And S102, if a user exists in the blowing area of the air conditioner, acquiring sign data of the user.
And if the user exists in the blowing area of the air conditioner, acquiring the physical sign data of the user. Specifically, the sign data of the user can be acquired through the intelligent wearable device worn by the user, namely the sign data of the user is acquired by the intelligent wearable device and sent to the air conditioner, and the air conditioner receives the sign data and stores and subsequently analyzes the received sign data. It should be noted that, this air conditioner and intelligent wearing equipment communication connection, intelligent wearing equipment include intelligent wrist-watch, intelligent bracelet, intelligent glasses, intelligent dress etc. and user's sign data include but not limited to human blood pressure, blood sugar, blood oxygen, body temperature and rhythm of the heart etc. and this body temperature can be user's body surface temperature.
In one embodiment, the temperature information of a user is collected through an infrared thermometer installed on the air conditioner, and the collected temperature information is sent to the air conditioner so that the air conditioner can store and subsequently process the received temperature information. The infrared thermometer is a non-contact infrared thermometer and can quickly measure the transient temperature of the moving object and the object.
Step S103, obtaining a target image including the user, and obtaining clothing attribute information of the user according to the target image.
The clothing attribute information at least comprises clothing material information or clothing type information. Specifically, the target image is processed based on a preset clothing material classification model to obtain clothing material information of a user; and/or processing the target image based on a preset clothing type classification model to obtain clothing type information of the user. The material information of the garment includes cotton, polyester fiber, chiffon, leather, wool, velvet, and the like, and the type information of the garment includes short sleeves, short pants, long sleeves, trousers, skirts, jackets, cotton-padded clothes, down jackets, silk cotton-padded clothes, and the like.
The clothing material classification model and the clothing type classification model can be obtained through model training based on a deep learning neural network, such as a deep learning MobileNet v2-SSD network, and can also be obtained through training by adopting other networks such as VGG-SSD networks. Illustratively, a deeply learned MobileNetv2-SSD network is iteratively trained through a training sample set that includes target images of various types of clothing that the user is wearing. And performing iterative training on the clothing type classification model by using a target image including clothing of each type of the user until the deeply learned MobileNet v2-SSD network converges, thereby obtaining the clothing type classification model. The clothing type information of the user can be accurately obtained by detecting the target image including the user through the clothing type classification model.
In an embodiment, the garment type classification model includes a preprocessing sublayer, a human body part detection sublayer and a garment attribute classification sublayer, the preprocessing sublayer is used for preprocessing the target image, the preprocessing process includes smoothing denoising, erosion, expansion and the like, and meanwhile, the target image is further processed according to the actual situation, such as edge detection, gray scale change, spot detection, depth detection and the like. The human body part detection sublayer is used to detect and mark parts of a person in a target image, such as the head, chest, shoulders, waist, thighs, calves, and the like. The clothing attribute classification sublayer may be a binary decision tree (SVM-BDT) for classifying the types of clothing of the user. The classification result of the clothing type information in the target image can be more accurate through the human body part detection sublayer and the clothing attribute classification sublayer in the clothing type classification model.
Further, processing the target image based on a preset clothing type classification model to obtain clothing type information of the user, including: inputting the target image into a trained clothing type classification model for detection, and outputting a predicted clothing type and a predicted probability corresponding to the predicted clothing type; and if the prediction probability corresponding to the predicted clothing type is larger than a preset threshold value, taking the predicted clothing type as the clothing type information of the user. It should be noted that the preset threshold may be set according to an actual situation, and the preset threshold is not specifically limited herein, and optionally is 0.6.
When the prediction probability corresponding to the predicted clothing type is smaller than or equal to the preset threshold value, the predicted clothing type corresponding to the maximum prediction probability is selected as the clothing type information of the user, and therefore the effectiveness of the output result is guaranteed.
In an embodiment, the specific manner of obtaining the clothing material information of the user is as follows: inputting the target image into a trained clothing material classification model for detection, and outputting a predicted clothing material and a first prediction probability corresponding to the predicted clothing material; and if the first prediction probability corresponding to the predicted clothing material is larger than the first preset threshold value, taking the predicted clothing material as the clothing material information of the user. It should be noted that the first preset threshold may be set according to an actual situation, and the application is not specifically limited herein, and optionally, the first preset threshold is 0.7. The establishment of the clothing material classification model can refer to the clothing type classification model, and the description is omitted here.
And S104, determining a blowing strategy of the air conditioner according to the sign data and the clothing attribute information, and operating according to the blowing strategy.
After the sign data and the clothing attribute information of the user are obtained, the air blowing strategy of the air conditioner is determined according to the sign data and the clothing attribute information, and the air conditioner is controlled to operate according to the air blowing strategy, so that the air blowing of the air conditioner does not cause discomfort to the user, and the user experience is improved. Specifically, a preset blowing strategy and a mapping relation table between physical sign data and clothing attribute information are obtained, wherein the physical sign data and the clothing attribute information have a corresponding relation with the blowing strategy; and determining the air blowing strategy of the air conditioner according to the mapping relation table, the physical sign data and the clothing attribute information.
The blowing strategy comprises a blowing mode, a blowing gear and/or a temperature control gear, the physical sign data comprise human body blood pressure, body surface temperature, heart rate and the like, and the garment attribute information is garment material information and/or garment type information. It should be noted that the mapping relationship table may be set according to actual situations, and this is not specifically limited in this application. Optionally, when the body surface temperature in the collected physical sign data of the user is 35 degrees and the garment type information is short sleeves, it is determined that the blowing strategy of the air conditioner is sweep air supply and the blowing gear is middle gear.
It is understood that the vital sign data may also be a variation value within a preset time. For example, if the temperature drop value of the body surface temperature in the collected physical sign data of the user within 1 minute is greater than 1 degree and the clothing type information of the user is short sleeves, it is determined that the blowing strategy of the air conditioner is that the temperature control gear is 26 degrees.
In an embodiment, the blowing strategy comprises at least one of a blowing mode, a blowing gear and a temperature control gear, and the blowing mode, the blowing gear and/or the temperature control gear of the air conditioner are determined according to the physical sign data and the clothing attribute information. As shown in fig. 3, a method for determining a blowing mode, a blowing gear, and/or a temperature control gear of an air conditioner includes sub-steps S1041 to S1042.
And a substep S1041 of obtaining an identity of the user and obtaining historical habit information of the user blowing in the blowing area based on the identity.
The air conditioner can directly acquire the identity of the user through the intelligent wearable device, and the identity corresponds to the user only. The air conditioner may also acquire the user's identity through biometric recognition, for example, acquiring an image including the user's face, and recognizing the unique identity of the user through a face recognition technology, which includes geometric feature face recognition, feature face (PCA) -based face recognition, neural network face recognition, and elastic image matching face recognition. The historical records which are left when the user blows in the blowing area every time are used as historical habit information of the user, the historical habit information is stored in a storage of the air conditioner, and each historical habit information records physical sign data and clothing attribute information of the user and a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner corresponding to the physical sign data and the clothing attribute information. Based on the identified user identity, historical habit information of the user blowing in the blowing area can be inquired from the storage, and corresponding adjusting parameters are generated based on the historical habit information, so that the controller of the air conditioner can control the air conditioner to operate according to the adjusting parameters, and the intelligent degree of the air conditioner is improved.
And the substep S1042 is used for determining the blowing mode, the blowing gear and/or the temperature control gear of the air conditioner according to the historical habit information, the physical sign data and the clothing attribute information.
After a plurality of historical habit information of a user blowing in a blowing area is obtained, the number of the historical habit information which is consistent with each historical habit information is determined, one historical habit information corresponding to the maximum number of the historical habit information which is consistent with each historical habit information is selected as target historical habit information, and a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner are determined according to the target historical habit information, sign data and clothing attribute information.
It can be understood that when the acquired historical habit information does not conform to the acquired physical sign data and the acquired clothing attribute information or the historical habit information is not acquired, a preset mapping relation table can be inquired, and the air blowing mode, the air blowing gear and/or the temperature control gear of the air conditioner can be determined through the mapping relation table, the physical sign data and the clothing attribute information. It should be noted that the physical sign data and the clothing attribute information in the mapping relationship table have a corresponding relationship with the blowing mode, the blowing gear and/or the temperature control gear of the air conditioner, and the mapping relationship table can be set according to the actual situation, which is not specifically limited in the present application. The air conditioner is controlled to operate according to the blowing mode, the blowing gear and/or the temperature control gear, so that the blowing of the air conditioner cannot cause discomfort to a user, and the operation of the air conditioner is more humanized.
Referring to fig. 4, fig. 4 is a schematic view of a scene for implementing the air conditioner control method according to the embodiment.
As shown in fig. 4, the air conditioner a blows air into the blowing area thereof, the user C is located in the blowing area, and the user C wears the intelligent wearable device B on the hand. The intelligent wearable device B sends the position information of the user C to the air conditioner A, the air conditioner A receives the position information sent by the intelligent wearable device B, and the user C is determined to exist in the blowing area of the air conditioner A based on the position information. Then, the air conditioner a receives the sign data of the user C sent by the intelligent wearable device B, the sign data may include the body surface temperature of the user C, and the air conditioner a performs subsequent operations based on the sign data and adjusts the air blowing to the user C.
According to the air conditioner control method provided by the embodiment, when the user is determined to exist in the air blowing area of the air conditioner, the physical sign data of the user and the target image including the user are obtained, the clothing attribute information of the user is obtained according to the target image, then the air blowing strategy of the air conditioner is determined according to the physical sign data and the clothing attribute information, the air conditioner can be intelligently controlled to blow air, the user is not affected by the air blowing of the straight-face air conditioner, the intelligent degree of the air conditioner is improved, and the user experience is greatly improved.
Referring to fig. 5, fig. 5 is a schematic block diagram of an air conditioner according to an embodiment of the present disclosure. The air conditioner can be a wall-mounted air conditioner, a vertical cabinet air conditioner, a window air conditioner, a ceiling air conditioner and the like.
As shown in fig. 5, the air conditioner includes a processor, a memory, and a network interface connected through a system bus, wherein the memory may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any of the air conditioning control methods.
The processor is used for providing calculation and control capacity and supporting the operation of the whole air conditioner.
The internal memory provides an environment for running a computer program in a nonvolatile storage medium, and the computer program, when executed by the processor, causes the processor to execute any one of the air-conditioning control methods.
The network interface is used for network communication, such as sending assigned tasks and the like. It will be understood by those skilled in the art that the configuration shown in fig. 5 is a block diagram of only a portion of the configuration associated with the present application, and does not constitute a limitation on the air conditioner to which the present application is applied, and a particular air conditioner may include more or less components than those shown in the drawings, or combine certain components, or have a different arrangement of components.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of:
determining whether a user exists in a blowing area of the air conditioner;
if a user exists in the blowing area of the air conditioner, acquiring sign data of the user; and
acquiring a target image including the user, and acquiring clothing attribute information of the user according to the target image;
and determining a blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, and operating according to the blowing strategy.
In one embodiment, when the processor determines the blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, the processor is configured to implement:
and determining a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner according to the physical sign data and the clothing attribute information.
In one embodiment, when the processor determines the blowing mode, the blowing gear and/or the temperature control gear of the air conditioner according to the physical sign data and the clothing attribute information, the processor is configured to implement:
acquiring an identity of the user, and acquiring historical habit information of the user in blowing in a blowing area based on the identity;
and determining a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner according to the historical habit information, the physical sign data and the clothing attribute information.
In one embodiment, when the processor determines the blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, the processor is configured to implement:
acquiring a preset blowing strategy and a mapping relation table between physical sign data and clothing attribute information, wherein the physical sign data and the clothing attribute information have a corresponding relation with the blowing strategy;
and determining the air blowing strategy of the air conditioner according to the mapping relation table, the physical sign data and the clothing attribute information.
In one embodiment, the processor is configured to implement the garment attribute information at least comprising garment material information or garment type information; when the clothing attribute information of the user is obtained according to the target image, the method is used for realizing that:
processing the target image based on a preset clothing material classification model to obtain clothing material information of the user; and/or
And processing the target image based on a preset clothing type classification model to obtain clothing type information of the user.
In an embodiment, when the processor implements the preset clothing type classification model based on, and processes the target image to obtain the clothing type information of the user, the processor is configured to implement:
inputting the target image into a trained clothing type classification model for detection, and outputting a predicted clothing type and a predicted probability corresponding to the predicted clothing type;
and if the prediction probability corresponding to the predicted clothing type is larger than a preset threshold value, taking the predicted clothing type as the clothing type information of the user.
In one embodiment, the processor, in effecting the determining whether the user is present within the blowing area of the air conditioner, is configured to effect:
and acquiring the position information of the user, and determining whether the user is located in the blowing area of the air conditioner according to the position information.
In one embodiment, the processor, in implementing the determining whether the user is located in the blowing area of the air conditioner according to the location information, is configured to implement:
acquiring a current blowing strategy of the air conditioner, determining a blowing area of the air conditioner according to the current blowing strategy, and determining a position information set of the blowing area;
and determining whether the user is located in the blowing area of the air conditioner according to the position information set and the position information of the user.
It should be noted that, as will be clearly understood by those skilled in the art, for convenience and brevity of description, the specific working process of the air conditioner described above may refer to the corresponding process in the foregoing embodiment of the air conditioner control method, and details are not described herein again.
Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, where the computer program includes program instructions, and a method implemented when the program instructions are executed may refer to various embodiments of the air conditioner control method in the present application.
The computer-readable storage medium may be an internal storage unit of the air conditioner, such as a hard disk or a memory of the air conditioner, according to the foregoing embodiment. The computer readable storage medium may also be an external storage device of the air conditioner, such as a plug-in hard disk provided on the air conditioner, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like.
It is to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments. While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An air conditioner control method, comprising:
determining whether a user exists in a blowing area of the air conditioner;
if a user exists in the blowing area of the air conditioner, acquiring sign data of the user; and
acquiring a target image including the user, and acquiring clothing attribute information of the user according to the target image;
and determining a blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information, and operating according to the blowing strategy.
2. The air conditioner control method of claim 1, wherein the determining the blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information comprises:
and determining a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner according to the physical sign data and the clothing attribute information.
3. The air conditioner control method of claim 2, wherein the determining a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner according to the physical sign data and the clothing attribute information comprises:
acquiring an identity of the user, and acquiring historical habit information of the user in blowing in a blowing area based on the identity;
and determining a blowing mode, a blowing gear and/or a temperature control gear of the air conditioner according to the historical habit information, the physical sign data and the clothing attribute information.
4. The air conditioner control method of claim 1, wherein the determining the blowing strategy of the air conditioner according to the physical sign data and the clothing attribute information comprises:
acquiring a preset blowing strategy and a mapping relation table between physical sign data and clothing attribute information, wherein the physical sign data and the clothing attribute information have a corresponding relation with the blowing strategy;
and determining the air blowing strategy of the air conditioner according to the mapping relation table, the physical sign data and the clothing attribute information.
5. The air-conditioning control method according to any one of claims 1 to 4, wherein the clothing attribute information includes at least clothing material information or clothing type information; the obtaining of the clothing attribute information of the user according to the target image includes:
processing the target image based on a preset clothing material classification model to obtain clothing material information of the user; and/or
And processing the target image based on a preset clothing type classification model to obtain clothing type information of the user.
6. The air conditioner control method of claim 5, wherein the processing the target image based on the preset clothing type classification model to obtain the clothing type information of the user comprises:
inputting the target image into a trained clothing type classification model for detection, and outputting a predicted clothing type and a predicted probability corresponding to the predicted clothing type;
and if the prediction probability corresponding to the predicted clothing type is larger than a preset threshold value, taking the predicted clothing type as the clothing type information of the user.
7. The air conditioner control method as claimed in any one of claims 1 to 4, wherein the determining whether the user exists in the blowing area of the air conditioner comprises:
and acquiring the position information of the user, and determining whether the user is located in the blowing area of the air conditioner according to the position information.
8. The air conditioner control method of claim 7, wherein the determining whether the user is located in a blowing area of the air conditioner according to the location information comprises:
acquiring a current blowing strategy of the air conditioner, determining a blowing area of the air conditioner according to the current blowing strategy, and determining a position information set of the blowing area;
and determining whether the user is located in the blowing area of the air conditioner according to the position information set and the position information of the user.
9. An air conditioner, characterized in that the air conditioner comprises a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the air conditioner control method according to any one of claims 1 to 8.
10. A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the air-conditioning control method according to any one of claims 1 to 8.
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