CN117232092A - Air conditioner dirty blocking detection method and system and air conditioner - Google Patents
Air conditioner dirty blocking detection method and system and air conditioner Download PDFInfo
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Abstract
The application provides an air conditioner filth blockage detection method and system and an air conditioner, wherein the method comprises the following steps: s100, acquiring a target image of a target area of the air conditioner, and performing binarization processing on the target image to obtain a target binarized image; s200, analyzing the target binarized image, and counting and calculating the proportion of black pixel points in the target binarized image; s300, judging whether a target area of the air conditioner is dirty or not according to the proportion of black pixel points in the target binarized image. The application realizes the intelligent judgment of the dirty blocking condition of the air conditioner through image analysis, solves the problems that the dirty blocking condition of the air conditioner in the prior art is mainly disassembled by manpower, then the dirty blocking condition is observed, the workload is large, and the time is often not enough, greatly reduces the difficulty of detecting the dirty blocking of the air conditioner, improves the efficiency of detecting the dirty blocking of the air conditioner, greatly expands the application scene of the application, and improves the user experience.
Description
Technical Field
The application relates to the technical field of air conditioner dirty blockage detection schemes, in particular to an air conditioner dirty blockage detection method and system and an air conditioner.
Background
Because the air pollution is more and more serious at present, especially in the region with big dust, after the air conditioner is installed for a period of time, serious dust can be accumulated on the filter screen and the evaporator, so that the filter screen and the evaporator are blocked. In the prior art, the air conditioner is mainly disassembled by manpower, and then the dirty blocking condition is observed, so that the workload is large and the time is often not enough.
Thus, the prior art is still to be further developed.
Disclosure of Invention
The application aims to overcome the defects of the prior art, and provides an air conditioner filth blockage detection method and system and an air conditioner, so as to solve the problems that the prior art mainly relies on manual disassembly of the air conditioner, and then filth blockage condition observation is carried out, so that the workload is large and the time is often not enough.
In order to achieve the above technical object, according to a first aspect of the present application, there is provided a method for detecting filth blockage of an air conditioner, the method comprising:
s100, acquiring a target image of a target area of the air conditioner, and performing binarization processing on the target image to obtain a target binarized image;
s200, analyzing the target binarized image, and counting and calculating the proportion of black pixel points in the target binarized image;
s300, judging whether a target area of the air conditioner is dirty or not according to the proportion of black pixel points in the target binarized image.
Specifically, the S100 further includes:
obtaining a target image of a target area of the air conditioner, carrying out gray processing on the target image to obtain a target gray image of the target area of the air conditioner, judging whether the gray value of each pixel point in the target gray image is larger than or equal to a second preset threshold value, and carrying out binarization processing on each pixel point in the target image according to a judging result.
Specifically, the binarizing processing is performed on each pixel point in the target image according to the judging result, including:
if the gray value of a pixel point in the target gray image is greater than or equal to a second preset threshold value, binarizing the pixel point into a white pixel point;
and if the gray value of a certain pixel point in the target gray image is smaller than a second preset threshold value, binarizing the pixel point into black pixel points.
Specifically, in S200, analyzing the target binarized image, and counting and calculating the proportion of black pixels in the target binarized image, including:
and counting the total number of the pixel points in the target binarized image and the total number of the black pixel points in the target binarized image, calculating the ratio of the total number of the black pixel points to the total number of the pixel points in the target binarized image, and taking the ratio as the proportion of the black pixel points.
Specifically, the S300 includes:
judging that the target area of the air conditioner is dirty and blocked if the proportion of the black pixel points is larger than or equal to a first preset threshold value;
if the proportion of the black pixel points is smaller than a first preset threshold value, judging that the target area of the air conditioner is not blocked.
Specifically, before step S100, the method further includes:
obtaining an initial image of a target area when the air conditioner is just delivered from the factory, carrying out gray processing on the initial image to obtain an initial gray image of the target area when the air conditioner is just delivered from the factory, obtaining gray values of all pixel points in the initial gray image, calculating products of the gray values of all pixel points in the initial gray image and a first preset proportion to serve as second preset thresholds corresponding to all pixel points, judging whether the gray values of all pixel points in the target gray image are larger than or equal to the second preset thresholds corresponding to all pixel points, and carrying out binarization processing on all pixel points in the target image according to judgment results.
Specifically, the method further comprises the following steps:
acquiring target images of a plurality of target areas of the air conditioner, wherein the target images of the plurality of target areas respectively correspond to images of a plurality of different areas of any part inside the air conditioner, and performing binarization processing on the target images of the plurality of target areas to obtain a plurality of target binarized images; analyzing the target binarization images, counting and calculating the proportion of black pixels in the target binarization images, counting the number of the target binarization images with the proportion of the black pixels being greater than or equal to a first preset threshold, judging whether the ratio of the number of the target binarization images with the proportion of the black pixels being greater than or equal to the first preset threshold to the total number of the target binarization images is greater than or equal to a third preset threshold, and judging whether the part of the air conditioner is dirty or not according to the judging result.
Specifically, the determining whether the component of the air conditioner is dirty or not according to the judging result includes:
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to a first preset threshold value to the total number of the target binarized images is greater than or equal to a third preset threshold value, judging that the part of the air conditioner is dirty and blocked;
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to the first preset threshold value to the total number of the target binarized images is smaller than the third preset threshold value, judging that the part of the air conditioner is not blocked.
According to a second aspect of the present application, there is provided an air conditioner filth blockage detection system, comprising:
the acquisition module is used for acquiring a target image of a target area of the air conditioner;
the control module is used for carrying out binarization processing on the target image to obtain a target binarized image; or the method is used for analyzing the target binarization image, counting and calculating the proportion of black pixel points in the target binarization image; or the target area of the air conditioner is judged whether to be dirty or not according to the proportion of black pixel points in the target binarized image.
According to a third aspect of the present application, there is provided an air conditioner comprising: a memory; and the processor is used for storing computer readable instructions on the memory, and the computer readable instructions realize the air conditioner filth blockage detection method when being executed by the processor.
The beneficial effects are that:
the method comprises the steps of obtaining a target image of a target area of an air conditioner, and performing binarization processing on the target image to obtain a target binarized image; analyzing the target binarized image, counting and calculating the proportion of black pixels in the target binarized image, and judging whether the proportion of black pixels is larger than or equal to a first preset threshold value; and judging whether the target area of the air conditioner is dirty or not according to the judging result. The problems that the air conditioner filth blockage in the prior art is mainly solved by manually disassembling the air conditioner firstly, then observing the filth blockage condition, the workload is large, and the time is often not enough are solved, the difficulty of detecting the air conditioner filth blockage is reduced to a great extent, the efficiency of detecting the air conditioner filth blockage is improved, the application scene of the application is greatly expanded, and the user experience is improved.
Drawings
FIG. 1 is a flowchart of an air conditioner filth blockage detection method provided in an embodiment of the application;
fig. 2 is a schematic structural diagram of an air conditioner filth blockage detection system according to an embodiment of the present application;
FIG. 3 is a control logic diagram of an air conditioner filth blockage detection method provided in an embodiment of the application;
FIG. 4 is a control logic diagram for binarizing a target image according to an embodiment of the present application;
FIG. 5 is a schematic diagram of binarizing a target image according to an embodiment of the present application;
fig. 6 is a schematic diagram of a system component of an air conditioner filth blockage detection system according to an embodiment of the application.
Detailed Description
In order to make the technical solution of the present application better understood by those skilled in the art, the technical solution of the present application will be clearly and completely described in the following with reference to the accompanying drawings, and based on the embodiments of the present application, other similar embodiments obtained by those skilled in the art without making any inventive effort should be included in the scope of protection of the present application. In addition, directional words such as "upper", "lower", "left", "right", and the like, as used in the following embodiments are merely directions with reference to the drawings, and thus, the directional words used are intended to illustrate, not to limit, the application.
The application will be further described with reference to the drawings and preferred embodiments.
Example 1
Referring to fig. 1-5, the present application provides a method for detecting filth blockage of an air conditioner, which includes:
s100, acquiring a target image of a target area of the air conditioner, and performing binarization processing on the target image to obtain a target binarized image.
Here, the step S100 includes:
the method comprises the steps of presetting a first preset threshold value, a second preset threshold value, a third preset threshold value and a first preset proportion.
Preferably, the first preset threshold is preferably 50%, the third preset threshold is preferably 60%, and the first preset proportion is preferably 90%.
It should be noted that, by a plurality of experiments, the first preset threshold is preferably 50%, the third preset threshold is preferably 60%, and the first preset proportion is preferably 90% for those skilled in the art, it is possible to better implement air conditioner filth blockage detection through image analysis.
Specifically, the S100 further includes:
obtaining a target image of a target area of the air conditioner, carrying out gray processing on the target image to obtain a target gray image of the target area of the air conditioner, judging whether the gray value of each pixel point in the target gray image is larger than or equal to a second preset threshold value, and carrying out binarization processing on each pixel point in the target image according to a judging result.
It can be understood that the range of gray values of each pixel point in the target gray image is [ 0, 255 ].
Specifically, the binarizing processing is performed on each pixel point in the target image according to the judging result, including:
if the gray value of a pixel point in the target gray image is greater than or equal to a second preset threshold value, binarizing the pixel point into a white pixel point;
and if the gray value of a certain pixel point in the target gray image is smaller than a second preset threshold value, binarizing the pixel point into black pixel points.
Specifically, before S100, the method further includes:
obtaining an initial image of a target area when the air conditioner is just delivered from the factory, carrying out gray processing on the initial image to obtain an initial gray image of the target area when the air conditioner is just delivered from the factory, obtaining gray values of all pixel points in the initial gray image, calculating products of the gray values of all pixel points in the initial gray image and a first preset proportion to serve as second preset thresholds corresponding to all pixel points, judging whether the gray values of all pixel points in the target gray image are larger than or equal to the second preset thresholds corresponding to all pixel points, and carrying out binarization processing on all pixel points in the target image according to judgment results.
Here, the second preset threshold is affected by the color, the position, etc. of the component corresponding to the target area of the air conditioner, and this embodiment is described by taking the filter screen 2 of the air conditioner as an example:
the gray value of a certain pixel point of an initial gray image of the filter screen 2 when the air conditioner just leaves the factory is x, the gray value of the certain pixel point is floated by a certain proportion according to the value of x, namely, the gray value of each pixel point in the initial gray image of the filter screen 2 when the air conditioner just leaves the factory is floated by a first preset proportion according to the value of x, the product of the gray value of each pixel point in the initial gray image of the filter screen 2 when the air conditioner just leaves the factory and the first preset proportion is used as a second preset threshold value corresponding to the gray value of each pixel point in the initial gray image of the filter screen 2 just leaves the factory, preferably, the product of the gray value of each pixel point in the initial gray image of the filter screen 2 when the air conditioner just leaves the factory and the 90% is used as a second preset threshold value corresponding to the gray value of each pixel point in the target gray image, if the gray value of a certain pixel point in the target gray image is larger than or equal to the second preset threshold value, the position indicated by the pixel point is judged to be not blocked, and the pixel point is binarized to be white; if the gray value of a certain pixel point in the target gray image is smaller than a second preset threshold value, judging that the position indicated by the pixel point is dirty, performing binarization processing on the pixel point into black pixel points, and finally obtaining a target binarized image of the filter screen 2 of the air conditioner, wherein the target binarized image divides the filter screen 2 of the air conditioner into a dirty blocking area a and a non-dirty blocking area b.
It can be understood that the ratio of the total number of the black pixels to the total number of the pixels of the target binarized image is calculated by counting the total number of the pixels of the target binarized image of the filter screen 2 of the air conditioner and the total number of the black pixels of the target binarized image, and the ratio is taken as the proportion of the black pixels. Then judging whether the proportion of the black pixel points is larger than or equal to a first preset threshold value; judging whether the proportion of the black pixel points is greater than or equal to 50%, and judging that the filter screen 2 of the air conditioner is dirty and blocked if the proportion of the black pixel points is greater than or equal to a first preset threshold value; if the proportion of the black pixel points is smaller than a first preset threshold value, judging that the filter screen 2 of the air conditioner is not blocked.
It can be understood that if the filter screen 2 of the air conditioner is judged to be dirty, the control module outputs an alarm signal related to the dirty blockage of the filter screen 2 of the air conditioner, immediately controls the dirty blockage state indicator lamp of the filter screen 2 of the air conditioner to work, carries out dirty blockage prompt of the filter screen 2, pushes related prompt information through the APP message, and prompts a user to clean the filter screen 2 in time.
Here, the indication lamp for indicating the dirt blocking state of the air conditioner filter screen 2 is disposed on the air conditioner display panel 1.
It can be understood that the method provided by the embodiment is also suitable for detecting the dirty blockage of the evaporator 3 of the air conditioner, if the dirty blockage of the evaporator 3 is detected, an alarm signal related to the dirty blockage of the evaporator 3 is output, the dirty blockage state indicator lamp of the evaporator 3 of the air conditioner is immediately controlled to work, the dirty blockage prompt of the evaporator 3 of the air conditioner is performed, relevant prompt information is pushed through an APP message, and a user is reminded to automatically start the self-cleaning function of the evaporator 3 or immediately manually start the self-cleaning function of the evaporator 3 after the shutdown is completed in the use.
Here, the indication lamp for indicating the state of the filth blockage of the air conditioner evaporator 3 is provided on the air conditioner display panel 1.
If the user cleans and starts up again, whether the filter screen 2 or the evaporator 3 of the air conditioner is dirty or not is detected again by the method provided by the embodiment, if the dirty or dirty detection result of the filter screen 2 or the evaporator 3 of the air conditioner is not dirty or dirty, the corresponding dirty or dirty indication lamp is controlled to be closed, and an alarm message of the APP is cleared, so that the normal use of the air conditioner is restored.
The application realizes the intelligent judgment of the dirty blocking condition of the air conditioner through image analysis, solves the problems that the dirty blocking condition of the air conditioner in the prior art is mainly disassembled by manpower, then the dirty blocking condition is observed, the workload is large, and the time is often not enough, greatly reduces the difficulty of detecting the dirty blocking of the air conditioner, improves the efficiency of detecting the dirty blocking of the air conditioner, greatly expands the application scene of the application, and improves the user experience.
Specifically, the method further comprises the following steps:
acquiring target images of a plurality of target areas of the air conditioner, wherein the target images of the plurality of target areas respectively correspond to images of a plurality of different areas of any part inside the air conditioner, and performing binarization processing on the target images of the plurality of target areas to obtain a plurality of target binarized images; analyzing the target binarization images, counting and calculating the proportion of black pixels in the target binarization images, counting the number of the target binarization images with the proportion of the black pixels being greater than or equal to a first preset threshold, judging whether the ratio of the number of the target binarization images with the proportion of the black pixels being greater than or equal to the first preset threshold to the total number of the target binarization images is greater than or equal to a third preset threshold, and judging whether the part of the air conditioner is dirty or not according to the judging result.
Here, the present embodiment will be described with reference to the filter screen 2 of the air conditioner as an example:
because the distance between the camera device 10 in the air conditioner and the filter screen 2 is possibly relatively short and the size of the target area acquired by the camera device 10 in the air conditioner is limited and is insufficient to cover the whole filter screen 2 of the air conditioner, the application acquires target images of a plurality of target areas of the air conditioner by dividing and covering the filter screen 2 of the air conditioner through a plurality of camera devices 10, wherein the target images of the target areas respectively correspond to images of different areas of the filter screen 2 in the air conditioner and carries out binarization processing on the target images of the target areas to acquire a plurality of target binarization images; analyzing a plurality of target binarization images and covering a filter screen 2 of an air conditioner, wherein at the moment, the application calculates and calculates the total number of black pixel points in the plurality of target binarization images and the total pixel points in the plurality of target binarization images, and then, judges whether the proportion of the black pixel points is larger than or equal to a first preset threshold value or not by calculating and calculating the proportion of the total number of the black pixel points in the plurality of target binarization images; if the proportion of the black pixel points is greater than or equal to a first preset threshold value, judging that the filter screen 2 of the air conditioner is dirty and blocked; if the proportion of the black pixel points is smaller than a first preset threshold value, judging that the filter screen 2 of the air conditioner is not blocked.
Preferably, the application also counts and calculates the number of target binarization images and the total number of target binarization images, the proportion of which is greater than or equal to a first preset threshold, and calculates the ratio of the number of target binarization images, the proportion of which is greater than or equal to the first preset threshold, to the total number of target binarization images, and if the ratio of the number of target binarization images, the proportion of which is greater than or equal to the first preset threshold, to the total number of target binarization images is greater than or equal to a third preset threshold, namely if the ratio of the proportion of black pixels, the proportion of the number of target binarization images, the proportion of which is greater than or equal to the first preset threshold, to the total number of target binarization images is greater than or equal to 60%, judging that the filter screen 2 of the air conditioner is blocked; if the ratio of the black pixel points to the target binarized images with the proportion larger than or equal to the first preset threshold value is smaller than 60%, judging that the filter screen 2 of the air conditioner is not blocked.
It will be appreciated that the method of the present embodiment described above is equally applicable to the detection of fouling of the evaporator 3 of an air conditioner.
Specifically, the determining whether the component of the air conditioner is dirty or not according to the judging result includes:
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to a first preset threshold value to the total number of the target binarized images is greater than or equal to a third preset threshold value, judging that the part of the air conditioner is dirty and blocked;
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to the first preset threshold value to the total number of the target binarized images is smaller than the third preset threshold value, judging that the part of the air conditioner is not blocked.
S200, analyzing the target binarized image, and counting and calculating the proportion of black pixel points in the target binarized image.
Specifically, the method further comprises the following steps:
judging whether the proportion of the black pixel points is larger than or equal to a first preset threshold value.
Specifically, in S200, analyzing the target binarized image, and counting and calculating the proportion of black pixels in the target binarized image, including:
and counting the total number of the pixel points in the target binarized image and the total number of the black pixel points in the target binarized image, calculating the ratio of the total number of the black pixel points to the total number of the pixel points in the target binarized image, and taking the ratio as the proportion of the black pixel points.
S300, judging whether a target area of the air conditioner is dirty or not according to the proportion of black pixel points in the target binarized image.
Specifically, the method further comprises the following steps:
judging whether the proportion of the black pixel points is larger than or equal to a first preset threshold value, and judging whether the target area of the air conditioner is dirty or not according to a judging result.
Specifically, the S300 further includes:
judging that the target area of the air conditioner is dirty and blocked if the proportion of the black pixel points is larger than or equal to a first preset threshold value;
if the proportion of the black pixel points is smaller than a first preset threshold value, judging that the target area of the air conditioner is not blocked.
It can be understood that the target image of the target area of the air conditioner is obtained, and binarization processing is carried out on the target image to obtain a target binarized image; analyzing the target binarized image, counting and calculating the proportion of black pixels in the target binarized image, and judging whether the proportion of black pixels is larger than or equal to a first preset threshold value; and judging whether the target area of the air conditioner is dirty or not according to the judging result. The problems that the air conditioner filth blockage in the prior art is mainly solved by manually disassembling the air conditioner firstly, then observing the filth blockage condition, the workload is large, and the time is often not enough are solved, the difficulty of detecting the air conditioner filth blockage is reduced to a great extent, the efficiency of detecting the air conditioner filth blockage is improved, the application scene of the application is greatly expanded, and the user experience is improved.
Example two
Referring to fig. 6, another embodiment of the present application provides an air conditioner filth blockage detection system, which includes:
the acquiring module 100 is configured to acquire a target image of a target area of the air conditioner.
It will be appreciated that the acquisition module 100 of the present application includes at least one camera device that is communicatively coupled to the control module 200.
The control module 200 is used for performing binarization processing on the target image to obtain a target binarized image; or is used for analyzing the target binarization image, counting and calculating the proportion of black pixel points in the target binarization image, or is used for judging whether the target area of the air conditioner is dirty or not according to the proportion of the black pixel points in the target binarization image.
The method includes the steps that a target image of a target area of an air conditioner is obtained, and binarization processing is carried out on the target image to obtain a target binarized image; analyzing the target binarized image, counting and calculating the proportion of black pixels in the target binarized image, and judging whether the proportion of black pixels is larger than or equal to a first preset threshold value; and judging whether the target area of the air conditioner is dirty or not according to the judging result. The problems that the air conditioner filth blockage in the prior art is mainly solved by manually disassembling the air conditioner firstly, then observing the filth blockage condition, the workload is large, and the time is often not enough are solved, the difficulty of detecting the air conditioner filth blockage is reduced to a great extent, the efficiency of detecting the air conditioner filth blockage is improved, the application scene of the application is greatly expanded, and the user experience is improved.
Example III
The application also provides another embodiment, in which a plurality of infrared correlation sensors are arranged on two sides of a filter screen of an air conditioner to detect dirt, the infrared correlation sensors are in communication connection with a control module, the control module counts whether the ratio of the number of the blocked infrared correlation sensors to the total number of the infrared correlation sensors is greater than or equal to a fourth preset threshold value, and if yes, the dirt blocking of the filter screen of the air conditioner is judged.
It can be understood that if judging that the filter screen of the air conditioner is dirty and blocked, the control module outputs an alarm signal related to the filter screen of the air conditioner, immediately controls the dirty and blocked state indicator lamp of the filter screen of the air conditioner to work, carries out dirty and blocked prompt of the filter screen, pushes related prompt information through the APP message, and prompts a user to clean the filter screen in time.
If the user is cleaned and the air conditioner is restarted, whether the filter screen of the air conditioner is dirty or not is detected again through the method provided by the embodiment, and if the dirty blockage detection result of the filter screen of the air conditioner is that the filter screen is not dirty, the corresponding dirty blockage indicator lamp is controlled to be closed, and an alarm message of the APP is cleared, so that the normal use of the air conditioner is restored.
The embodiment realizes the intelligent judgment of the air conditioner filth blocking condition through the detection of the infrared correlation sensor, solves the problems that the air conditioner filth blocking in the prior art mainly depends on manual disassembly of the air conditioner, and then filth blocking condition observation is carried out, has large workload and is often not timely enough, greatly reduces the difficulty of air conditioner filth blocking detection, improves the efficiency of air conditioner filth blocking detection, greatly expands the application scene of the application and improves the user experience.
Example IV
In a preferred embodiment, the present application also provides an air conditioner, including:
a memory; and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions implement the air conditioner filth blockage detection method described in the above embodiment when executed by the processor. The computer device may be broadly a server, a terminal, or any other electronic device having the necessary computing and/or processing capabilities. In one embodiment, the computer device may include a processor, memory, network interface, communication interface, etc. connected by a system bus. The processor of the computer device may be used to provide the necessary computing, processing and/or control capabilities. The memory of the computer device may include a non-volatile storage medium and an internal memory. The non-volatile storage medium may have an operating system, computer programs, etc. stored therein or thereon. The internal memory may provide an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface and communication interface of the computer device may be used to connect and communicate with external devices via a network. Which when executed by a processor performs the steps of the method of the application.
The present application may be implemented as a computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes steps of a method of an embodiment of the present application to be performed. In one embodiment, the computer program is distributed over a plurality of computer devices or processors coupled by a network such that the computer program is stored, accessed, and executed by one or more computer devices or processors in a distributed fashion. A single method step/operation, or two or more method steps/operations, may be performed by a single computer device or processor, or by two or more computer devices or processors. One or more method steps/operations may be performed by one or more computer devices or processors, and one or more other method steps/operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step/operation or two or more method steps/operations.
Those of ordinary skill in the art will appreciate that the method steps of the present application may be implemented by a computer program, which may be stored on a non-transitory computer readable storage medium, to instruct related hardware such as a computer device or a processor, which when executed causes the steps of the present application to be performed. Any reference herein to memory, storage, database, or other medium may include non-volatile and/or volatile memory, as the case may be. Examples of nonvolatile memory include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage, hard disk, solid state disk, and the like. Examples of volatile memory include Random Access Memory (RAM), external cache memory, and the like.
It can be understood that the target image of the target area of the air conditioner is obtained, and binarization processing is carried out on the target image to obtain a target binarized image; analyzing the target binarized image, counting and calculating the proportion of black pixels in the target binarized image, and judging whether the proportion of black pixels is larger than or equal to a first preset threshold value; and judging whether the target area of the air conditioner is dirty or not according to the judging result. The problems that the air conditioner filth blockage in the prior art is mainly solved by manually disassembling the air conditioner firstly, then observing the filth blockage condition, the workload is large, and the time is often not enough are solved, the difficulty of detecting the air conditioner filth blockage is reduced to a great extent, the efficiency of detecting the air conditioner filth blockage is improved, the application scene of the application is greatly expanded, and the user experience is improved.
The technical features described above may be arbitrarily combined. Although not all possible combinations of features are described, any combination of features should be considered to be covered by the description provided that such combinations are not inconsistent.
The above-described embodiments of the present application do not limit the scope of the present application. Any other corresponding changes and modifications made in accordance with the technical idea of the present application shall be included in the scope of the claims of the present application.
Claims (10)
1. An air conditioner filth blockage detection method is characterized by comprising the following steps:
s100, acquiring a target image of a target area of the air conditioner, and performing binarization processing on the target image to obtain a target binarized image;
s200, analyzing the target binarized image, and counting and calculating the proportion of black pixel points in the target binarized image;
s300, judging whether a target area of the air conditioner is dirty or not according to the proportion of black pixel points in the target binarized image.
2. The method for detecting filth blockage of an air conditioner according to claim 1, wherein the S100 further comprises:
obtaining a target image of a target area of the air conditioner, carrying out gray processing on the target image to obtain a target gray image of the target area of the air conditioner, judging whether the gray value of each pixel point in the target gray image is larger than or equal to a second preset threshold value, and carrying out binarization processing on each pixel point in the target image according to a judging result.
3. The method for detecting a filth blockage of an air conditioner according to claim 2, wherein the binarizing the pixel points in the target image according to the determination result comprises:
if the gray value of a pixel point in the target gray image is greater than or equal to a second preset threshold value, binarizing the pixel point into a white pixel point;
and if the gray value of a certain pixel point in the target gray image is smaller than a second preset threshold value, binarizing the pixel point into black pixel points.
4. The method for detecting filth blockage of an air conditioner according to claim 1, wherein the analyzing the target binarized image in S200, counting and calculating the proportion of black pixels in the target binarized image includes:
and counting the total number of the pixel points in the target binarized image and the total number of the black pixel points in the target binarized image, calculating the ratio of the total number of the black pixel points to the total number of the pixel points in the target binarized image, and taking the ratio as the proportion of the black pixel points.
5. The method for detecting filth blockage of an air conditioner according to claim 1, wherein the S300 includes:
judging that the target area of the air conditioner is dirty and blocked if the proportion of the black pixel points is larger than or equal to a first preset threshold value;
if the proportion of the black pixel points is smaller than a first preset threshold value, judging that the target area of the air conditioner is not blocked.
6. The method for detecting filth blockage of an air conditioner according to claim 1, further comprising, prior to step S100:
obtaining an initial image of a target area when the air conditioner is just delivered from the factory, carrying out gray processing on the initial image to obtain an initial gray image of the target area when the air conditioner is just delivered from the factory, obtaining gray values of all pixel points in the initial gray image, calculating products of the gray values of all pixel points in the initial gray image and a first preset proportion to serve as second preset thresholds corresponding to all pixel points, judging whether the gray values of all pixel points in the target gray image are larger than or equal to the second preset thresholds corresponding to all pixel points, and carrying out binarization processing on all pixel points in the target image according to judgment results.
7. The air conditioner filth blockage detection method of claim 1, further comprising:
acquiring target images of a plurality of target areas of the air conditioner, wherein the target images of the plurality of target areas respectively correspond to images of a plurality of different areas of any part inside the air conditioner, and performing binarization processing on the target images of the plurality of target areas to obtain a plurality of target binarized images; analyzing the target binarization images, counting and calculating the proportion of black pixels in the target binarization images, counting the number of the target binarization images with the proportion of the black pixels being greater than or equal to a first preset threshold, judging whether the ratio of the number of the target binarization images with the proportion of the black pixels being greater than or equal to the first preset threshold to the total number of the target binarization images is greater than or equal to a third preset threshold, and judging whether the part of the air conditioner is dirty or not according to the judging result.
8. The method for detecting filth blockage of an air conditioner according to claim 7, wherein the determining whether the part of the air conditioner is blocked according to the determination result comprises:
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to a first preset threshold value to the total number of the target binarized images is greater than or equal to a third preset threshold value, judging that the part of the air conditioner is dirty and blocked;
if the ratio of the number of the target binarized images with the proportion of the black pixel points being greater than or equal to the first preset threshold value to the total number of the target binarized images is smaller than the third preset threshold value, judging that the part of the air conditioner is not blocked.
9. An air conditioner filth blockage detection system, comprising:
the acquisition module is used for acquiring a target image of a target area of the air conditioner;
the control module is used for carrying out binarization processing on the target image to obtain a target binarized image; or the method is used for analyzing the target binarization image, counting and calculating the proportion of black pixel points in the target binarization image; or the target area of the air conditioner is judged whether to be dirty or not according to the proportion of black pixel points in the target binarized image.
10. An air conditioner, comprising:
a memory; and a processor having stored thereon computer readable instructions which when executed by the processor implement the air conditioning filth blockage detection method according to any one of claims 1 to 8.
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| CN202311207658.5A CN117232092A (en) | 2023-09-18 | 2023-09-18 | Air conditioner dirty blocking detection method and system and air conditioner |
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| CN202311207658.5A CN117232092A (en) | 2023-09-18 | 2023-09-18 | Air conditioner dirty blocking detection method and system and air conditioner |
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