CN111076365A - Method for automatically adjusting refrigerating capacity and heating capacity of air conditioner and air conditioner - Google Patents
Method for automatically adjusting refrigerating capacity and heating capacity of air conditioner and air conditioner Download PDFInfo
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- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims description 12
- 238000001816 cooling Methods 0.000 claims description 10
- 230000003044 adaptive effect Effects 0.000 abstract description 2
- 238000004134 energy conservation Methods 0.000 abstract description 2
- 230000003993 interaction Effects 0.000 description 4
- 238000013519 translation Methods 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
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Classifications
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
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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
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
Abstract
The invention relates to a method for automatically adjusting the refrigerating capacity and the heating capacity of an air conditioner and the air conditioner, wherein a three-dimensional model of a space where the air conditioner is located is established through a binocular camera technology to obtain spatial layout information; acquiring the optimal refrigerating capacity or heating capacity of the air conditioner adaptive to the space according to the space layout information of the air conditioner; the refrigerating capacity or the heating capacity of the air conditioner can be automatically adjusted according to the calculation result, the problem that the room area and the size of the room are not matched with the refrigerating capacity or the heating capacity of the air conditioner can be effectively solved, energy conservation is realized, and the energy of the air conditioner is more effectively utilized.
Description
Technical Field
The invention relates to a method for automatically adjusting the refrigerating capacity and the heating capacity of an air conditioner and the air conditioner, in particular to a method for automatically adjusting the refrigerating capacity and the heating capacity of the air conditioner based on a binocular camera technology and the air conditioner.
Background
At present, with the rapid development of the field of artificial intelligence and the increasing demand of people on intelligent home and novel human-computer interaction. At present, intelligent voice sound boxes on the market bloom all the time, voice interaction technology is mature, and voice interaction is applied to household appliances, such as voice air conditioners, gradually increasing. The household appliance application based on the image non-inductive interaction technology is still in an exploration stage, and due to the fact that the target cannot be accurately estimated due to the limitation of the monocular camera, the defects of the monocular camera can be well overcome through the binocular camera technology. The prior art of energy-saving cooling and heating of household air conditioners according to the layout of rooms has not been solved, for example, 1 air conditioner is installed at 8m by a user2In the room, the refrigerating capacity and the heating capacity of the air conditioner are both too high, and the energy-saving effect cannot be achieved.
Disclosure of Invention
The invention provides a method for automatically adjusting the refrigerating capacity and the heating capacity of an air conditioner and the air conditioner.
Specifically, the method comprises the following steps:
a method for automatically adjusting the refrigerating capacity and the heating capacity of an air conditioner realizes the automatic adjustment of the refrigerating capacity or the heating capacity of a space where the air conditioner is located through a binocular camera technology, and comprises the following steps:
s1, establishing a three-dimensional model of the space where the air conditioner is located through a binocular camera technology to obtain spatial layout information;
s2, acquiring the optimal refrigerating capacity or heating capacity of the air conditioner for adapting to the space;
and S3, the air conditioner automatically adjusts the refrigerating capacity or the heating capacity according to the calculation result.
Preferably, step S1 further includes:
s11: collecting a target image in a space where an air conditioner is located, and calibrating a binocular camera two-phase machine;
s12: correcting the two acquired images according to the calibration result;
s13: matching pixel points of the two corrected images;
s14: calculating the depth of each pixel in the image to obtain a target depth map;
s15: and acquiring target depth maps of a plurality of areas of the space where the air conditioner is located, and establishing a three-dimensional model of the space where the air conditioner is located.
Preferably, the calibration method for the binocular camera two-phase machine in step S11 is as follows: and calibrating the binocular camera by a Zhang-friend calibration method.
Preferably, the two acquired images are corrected in step S12 in the following manner: and correcting the target original image through a Hartley algorithm.
Preferably, the method for matching pixel points of the two corrected images in step S13 is as follows: and matching pixel points of the two corrected images by adopting an image matching algorithm based on gray level.
Preferably, the manner of calculating the depth of each pixel in step S14 is as follows: the depth of each pixel in the image is calculated by the formula z ═ f × b/d.
Preferably, the step S2 is to obtain the optimal cooling capacity or heating capacity of the space where the air conditioning should be performed on the cloud server.
Preferably, the method for acquiring the optimal cooling capacity or heating capacity in step S2 is as follows: and obtaining the optimal refrigerating capacity or heating capacity by matching the spatial layout information of the air conditioner with the spatial layout information in the cloud server database.
The invention also provides an air conditioner which adopts the method for automatically adjusting the refrigerating capacity or the heating capacity.
Preferably, the air conditioner provided by the invention comprises a camera module, a communication module, a controller and a compressor, wherein the camera module is used for collecting images of a space where the air conditioner is located; the communication module is used for realizing the communication between the air conditioner and the cloud server; the controller is used for adjusting the refrigerating capacity parameter or the heating capacity parameter of the compressor; and the compressor is used for realizing the adjustment of the refrigerating capacity or the heating capacity of the air conditioner.
According to the invention, the three-dimensional model of the space where the air conditioner is located is established through the binocular camera technology, the layout information of the space where the air conditioner is located can be obtained, the refrigerating capacity or the heating capacity most suitable for the space is automatically corrected according to the layout information of the space where the air conditioner is located, and the energy waste is avoided.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
FIG. 1 is a schematic view of a hollow-core control process in example 1 of the present invention;
fig. 2 is a flowchart of acquiring spatial layout information of an air conditioner in embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good 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 good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
According to the invention, the three-dimensional model of the space where the air conditioner is located is established through the binocular camera technology, the layout information of the space where the air conditioner is located can be obtained, the refrigerating capacity or the heating capacity of the space is automatically adjusted according to the layout information of the space where the air conditioner is located, the problem that the area and the size of a room are not matched with the refrigerating capacity or the heating capacity of the air conditioner is solved, the energy is effectively utilized, the use feeling of a user is improved, and the requirements of the user can be better met.
Example 1:
as shown in fig. 1-2, this embodiment provides a method for adjusting the cooling capacity and the heating capacity of an air conditioner based on a binocular camera technology, so that the air conditioner can automatically adjust the cooling capacity or the heating capacity according to the spatial layout information where the air conditioner is located, and the method includes the following steps:
s1, establishing a three-dimensional model of the space where the air conditioner is located through a binocular camera technology to obtain spatial layout information;
preferably, the binocular camera both can be air conditioner self-contained, also can set up independently, and this embodiment is preferred, and the binocular camera is air conditioner self-contained.
Preferably, the establishment of the three-dimensional model of the space where the air conditioner is located is performed in a controller of the air conditioner.
Preferably, step S1 further includes:
s11: collecting an image of a space where an air conditioner is located, and calibrating a binocular camera two-phase machine;
preferably, the chessboard diagram for realizing the calibration is attached to an object in the space where the air conditioner is located, the object is a target in the space where the air conditioner is located, and the image of the environment of the space where the air conditioner is located is collected through a binocular camera of the air conditioner.
Preferably, the binocular camera two-phase machine is calibrated by a Zhang-Zhengyou calibration method, and internal and external parameters, a left camera baseline, a right camera baseline, a camera focal length and a homography matrix which affect the visual field of a binocular camera intersection region are obtained.
Preferably, the internal and external parameters include internal parameters and external parameters, wherein the internal parameters include: mapping relations of the object shot by the binocular camera and the actual object on an x axis and a y axis; the offset relationship between the camera center and the image center; the installation angle of the camera and the lens is different; the external parameters include: translation and rotation parameters in the x-direction; translation and rotation parameters in the y-direction; translation and rotation parameters in the z-direction.
S12: correcting the two acquired images according to the calibration result;
preferably, the target original image is corrected by a Hartley algorithm, and the two corrected images are located on the same plane and are parallel to each other. The Hartley algorithm mainly comprises the steps of carrying out projection transformation on a right image in an original image shot by a binocular camera, mapping an epipolar point on the right image to an infinitely distant point in the horizontal direction, and enabling epipolar lines on the right image to be parallel to each other and to be parallel to a horizontal scanning line of the image; and then searching for projective transformation on the left image to minimize the parallax between corresponding points on the transformed image.
S13: matching pixel points of the two corrected images;
preferably, the two corrected images are subjected to pixel matching by adopting a gray-scale-based image matching algorithm, and specifically, the gray-scale-based image matching algorithm comprises an average absolute difference algorithm, an absolute error sum algorithm, an error square sum algorithm, an average error square sum algorithm, a sequential similarity detection algorithm and the like. The embodiment preferably adopts a sequential similarity detection algorithm, which refers to a process that an image matching technology searches for a corresponding or similar module in another image (a search graph) according to a known image module (a template graph).
S14: calculating the depth of each pixel in the image according to the pixel point matching result to obtain a target depth map;
preferably, by the formula: z-f b/d, the depth z of each pixel in the image is calculated, the pixel depth refers to the number of bits used to store each pixel, and is used to measure the resolution of the image. The pixel depth determines the number of possible colors per pixel of the color image or determines the number of possible gray levels per pixel of the gray scale image. F in the formula of z ═ f × b/d is the focal length of the camera in the binocular camera, which has been obtained in step S12; b is the lateral distance between the two cameras in the binocular camera, which has been obtained in step S12; d is the parallax.
Preferably, the parallax d is obtained by matching pixel points.
Preferably, when the depth of each pixel in the image is obtained, the depth of all pixels in the image is integrated to obtain a target depth map in the acquired image, where the target depth map reflects the target depth in the image, and the target depth is the distance from the target object to the plane of the binocular camera.
S15: and acquiring target depth maps of a plurality of areas of the space where the air conditioner is located, and establishing a three-dimensional model of the space where the air conditioner is located.
Preferably, targets with different directions, different distances and different heights are arranged in a plurality of areas of the space where the air conditioner is located, target depth maps are obtained, the real physical distances between the targets and the air conditioner are obtained by combining the obtained multi-area target depth maps, a three-dimensional model of the space where the air conditioner is located is built on the basis, and information such as layout, depth, area and volume of the room where the air conditioner is located, residual space of the room and the like is obtained.
And S2, acquiring the optimal cooling capacity or heating capacity of the space where the air conditioner is located.
Preferably, the air conditioner sends the spatial layout information of the air conditioner to the cloud server through the communication module or the wifi module, and the cloud server intelligently calculates the optimal refrigerating capacity or heating capacity suitable for the room where the air conditioner is located.
Preferably, the air conditioner can also realize the communication with the cloud server through the wifi module.
Specifically, the cloud server is provided with a database, the database is classified according to information such as layout, depth, area and volume of a room and remaining space of the room, each type corresponds to different refrigerating capacity or heating capacity according to different numerical value ranges of the type, and the cloud server acquires optimal refrigerating capacity or heating capacity by matching acquired space layout information with space layout information in the cloud server database.
Preferably, the larger the room depth is, the larger the air-conditioning air supply amount is, and the room depth is the distance between two opposite and farthest walls.
Preferably, the size of the remaining space of the room can be obtained through the area and layout information of the room, and the rotating speed rate of the air conditioner compressor is adjusted according to the remaining space, wherein the larger the remaining space is, the higher the rotating speed of the compressor is, and the faster the cooling or heating rate of the air conditioner is.
And S3, the air conditioner automatically adjusts the refrigerating capacity or the heating capacity according to the calculation result.
The cloud server feeds the calculated optimal refrigerating capacity or heating capacity back to the air conditioner, the air conditioner receives a calculation result from the cloud server through the communication module or the wifi module and transmits the calculation result to the controller of the air conditioner, and the controller adjusts refrigerating capacity or heating capacity parameters of the compressor according to the calculation result of the cloud server, so that automatic adjustment of the refrigerating capacity or heating capacity of the air conditioner is achieved.
The embodiment provides a method for adjusting the refrigerating capacity and the heating capacity of an air conditioner based on a binocular camera technology, a three-dimensional model of a space where the air conditioner is located is established through the binocular camera technology, a cloud server intelligently calculates the optimal refrigerating capacity or the heating capacity of the air conditioner according to the established three-dimensional model and feeds the optimal refrigerating capacity or the heating capacity back to the air conditioner to achieve automatic adjustment of the refrigerating capacity or the heating capacity of the air conditioner, the problem that the room area and the size of the room are not matched with the refrigerating capacity or the heating capacity of the air conditioner is effectively solved, and energy is effectively utilized.
Example 2:
the present embodiment provides an air conditioner, which employs the method for automatically adjusting cooling capacity or heating capacity provided in embodiment 1, and the air conditioner includes a camera module, a communication module, a controller, and a compressor, wherein the camera module is configured to collect an image of a space where the air conditioner is located, and in this embodiment, a binocular camera is further preferably employed; the communication module is used for realizing the communication between the air conditioner and the cloud server; the controller is used for adjusting the refrigerating capacity parameter or the heating capacity parameter of the compressor; and the compressor is used for realizing the adjustment of the refrigerating capacity or the heating capacity of the air conditioner. The air conditioner that this embodiment provided can realize the automatically regulated to refrigerating output or heating volume, and the energy can be saved has reduced the energy waste.
In conclusion, the three-dimensional model of the space where the air conditioner is located is established through the binocular camera technology, and the spatial layout information is obtained; acquiring the optimal refrigerating capacity or heating capacity of the air conditioner adaptive to the space according to the space layout information of the air conditioner; the refrigerating capacity or the heating capacity of the air conditioner can be automatically adjusted according to the calculation result, the problem that the room area and the size of the room are not matched with the refrigerating capacity or the heating capacity of the air conditioner can be effectively solved, energy conservation is realized, and the energy of the air conditioner is more effectively utilized.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for automatically adjusting the refrigerating capacity and the heating capacity of an air conditioner is characterized in that: the air conditioner is provided with a binocular camera and implements the following control:
s1, establishing a three-dimensional model of the space where the air conditioner is located through a binocular camera technology to obtain the spatial layout information;
s2, acquiring the optimal refrigerating capacity or heating capacity of the air conditioner adapting to the space;
and S3, the air conditioner automatically adjusts the refrigerating capacity or the heating capacity according to the calculation result.
2. The method of claim 1, wherein the step S1 further comprises:
s11: collecting a target image in the space where the air conditioner is located, and calibrating a binocular camera two-phase machine;
s12: correcting the two acquired images according to the calibration result;
s13: matching pixel points of the two corrected images;
s14: calculating the depth of each pixel in the image to obtain a target depth map;
s15: and acquiring target depth maps of a plurality of areas of the space where the air conditioner is located, and establishing a three-dimensional model of the space where the air conditioner is located.
3. The method according to claim 2, wherein the calibration of the binocular camera two-phase camera in the step S11 is performed by: and calibrating the binocular camera by a Zhang-friend calibration method.
4. The method according to claim 2, wherein the two acquired images are corrected in step S12 by: and correcting the target original image through a Hartley algorithm.
5. The method according to claim 2, wherein the manner of performing pixel matching on the two corrected images in step S13 is as follows: and matching pixel points of the two corrected images by adopting an image matching algorithm based on gray level.
6. The method of claim 2, wherein the depth of each pixel is calculated in step S14 by: the depth of each pixel in the image is calculated by the formula z ═ f × b/d.
7. The method as claimed in claim 1, wherein the step S2 of obtaining the optimal cooling capacity or heating capacity for the space where the air conditioner is located is performed on a cloud server.
8. The method as claimed in claim 1, wherein the optimum cooling capacity or heating capacity is obtained in step S2 by: and matching the spatial layout information of the air conditioner with the spatial layout information in the cloud server database to obtain the optimal refrigerating capacity or heating capacity.
9. An air conditioner characterized in that it employs the method of any one of claims 1 to 8.
10. The air conditioner according to claim 9, wherein the air conditioner comprises a camera module, a communication module, a controller and a compressor, wherein the camera module is used for collecting images of a space where the air conditioner is located; the communication module is used for realizing the communication between the air conditioner and the cloud server; the controller is used for adjusting the refrigerating capacity parameter or the heating capacity parameter of the compressor; and the compressor is used for realizing the adjustment of the refrigerating capacity or the heating capacity of the air conditioner.
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Application publication date: 20200428 |