CN107597776B - Cleaning method and device of cooking equipment and cooking equipment - Google Patents
Cleaning method and device of cooking equipment and cooking equipment Download PDFInfo
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- CN107597776B CN107597776B CN201710810195.XA CN201710810195A CN107597776B CN 107597776 B CN107597776 B CN 107597776B CN 201710810195 A CN201710810195 A CN 201710810195A CN 107597776 B CN107597776 B CN 107597776B
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Abstract
The invention discloses a cooking equipment cleaning method and device and cooking equipment. Wherein, the method comprises the following steps: acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; acquiring a chromatic value of a target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking equipment needs to be cleaned according to the judgment result. The invention solves the technical problems of low internal cleanliness of the cooking equipment and low user experience caused by long cleaning time when stains in the cooking equipment are cleaned in the related art.
Description
Technical Field
The invention relates to the technical field of images, in particular to a method and a device for cleaning cooking equipment and the cooking equipment.
Background
In the related art, in the case of a cooking device, while providing a delicious taste to people, there are problems in that stains are easily generated inside the cooking device due to the characteristics of high baking temperature, rich grease and protein in the baking content, and the like of the cooking device, and the inside is difficult to clean due to the accumulation of the stains for a long time. In the related art, when cleaning stains inside the cooking apparatus, the stains are generally cleaned once every preset time period, for example, about 3 months to half a year, according to the recommendation in the factory specification. However, this cleaning method cannot control the frequency of use, the baking content, the baking habit, etc. of the cooking device, and cannot clean the stains inside the cooking device according to the use habits of different users in real time, so that the cleanliness of the oven is affected for the users who often use the cooking device to bake due to the long cleaning time.
Aiming at the technical problems that when stains inside cooking equipment are cleaned in the related art, the cleaning time is long, the cleanliness inside the cooking equipment is low, and the user experience degree is low, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a cleaning method and device for cooking equipment and the cooking equipment, and aims to at least solve the technical problems that in the related art, when stains in the cooking equipment are cleaned, the cleanliness in the cooking equipment is low and the user experience is low due to long cleaning time.
According to an aspect of an embodiment of the present invention, there is provided a cleaning method of a cooking apparatus, including: acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; acquiring a chromatic value of the target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking equipment needs to be cleaned according to the judgment result.
Further, the preset condition includes at least one of: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; the second condition is that whether the ratio of the number of the determined target sub-images with chromaticity weights larger than a reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not is judged, wherein the target sub-images are sub-images corresponding to sub-areas in the target area in the target image, and the chromaticity weights of the target sub-images are average chromaticity weights of the sub-areas in each target sub-image; and under the third condition, judging whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of preset threshold values to the total number of the difference values of the target sub-images and exceeds a second preset ratio value.
Further, determining whether the cooking device needs to be cleaned according to the judgment result comprises: when the chromaticity value meets any one of the first condition, the second condition and the third condition, determining that the interior of the cooking device needs to be cleaned; or, when the chromaticity value satisfies any two or all of the first, second and third conditions, it is determined that the inside of the cooking apparatus needs to be cleaned.
Further, before determining whether a ratio of the number of the target sub-images of which the chromaticity weight is greater than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio among a plurality of target sub-images included in the target image, the method includes: determining a chromaticity weight of a first region and a chromaticity weight of a second region in each target sub-image, wherein the chromaticity weight of the first region is greater than the chromaticity weight of the second region; and obtaining the chromaticity weight of the target sub-image according to the chromaticity weight of the first region and the chromaticity weight of the second region in the target sub-image.
Further, before determining whether a difference between chrominance weights of each two target sub-images in the plurality of target sub-images is greater than a ratio of the number of preset thresholds to the total number of differences of the target sub-images and exceeds a second preset ratio, the method includes: acquiring a difference value of the chromaticity weight between each two target sub-images; filtering out target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the target sub-images; and determining the target sub-images with the chrominance weight difference values within a preset range in the plurality of target sub-images according to the filtering result.
Further, acquiring an image in the target area, and obtaining the target image includes: determining the target area through preset identification information, wherein the identification information is preset inside the cooking equipment, and the chromatic value of the identification information is different from the reference chromatic value inside the cooking equipment; and acquiring the determined image in the target area to obtain a target image.
Further, after acquiring the image of the target area, the method further comprises: preprocessing the image of the target area to obtain an image of a preset type, wherein the preset type comprises at least one of the following types: rectangle, square, round.
Further, the target area is a bottom surface area in an inner wall of the cooking apparatus.
According to another aspect of the embodiments of the present invention, there is also provided a cleaning device of a cooking apparatus, including: the acquisition unit is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; an acquisition unit configured to acquire a chromatic value of the target image; the judging unit is used for judging whether the chromatic value meets at least one preset condition or not; and the determining unit is used for determining whether the cooking equipment needs to be cleaned according to the judgment result.
According to another aspect of the embodiments of the present invention, there is also provided a cooking apparatus including: the image acquisition device is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; a processor for obtaining a chromatic value of the target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking apparatus needs to be cleaned according to the judgment result.
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a program, wherein the program executes a cleaning method of a cooking apparatus according to any one of the above.
According to another aspect of embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program performs the cleaning method of the cooking apparatus of any one of the above.
In the embodiment of the invention, the image in the target area can be collected to obtain the target image, the chromatic value of the target image is obtained, whether at least one preset condition is met or not is judged according to the chromatic value, and whether the cooking equipment needs to be cleaned or not is determined according to the judgment result. In this embodiment, can be through gathering the image of the inside target area of cooking equipment to whether need clean cooking equipment according to the chromatic value judgement of image, just so can the inside condition of real-time analysis cooking equipment, with the opportunity of determining clean cooking equipment, thereby when solving in the correlation technique when the inside spot of clearance cooking equipment, because the cleaning time is long leads to the inside cleanliness of cooking equipment low, the technical problem that user experience degree is low, reach the effect of timely, the inside spot of effectual clearance cooking equipment, keep cooking equipment's cleanliness.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a cleaning method of a cooking apparatus according to an embodiment of the present invention;
fig. 2 is a structural view of a cleaning apparatus of a cooking appliance according to an embodiment of the present invention;
fig. 3 is a schematic view of another cooking apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of cleaning a cooking appliance, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
The following embodiments can be applied to various cooking devices, and the specific type of the cooking device is not limited in the present invention, wherein the embodiments of the present invention can also be applied to other baking devices or various closed devices, and the collected images are analyzed by collecting real-time images of the inner wall of the device to determine a suitable time to clean up the stains inside the device.
In this embodiment, the kind of the cooking apparatus may include various kinds, such as an oven, a rice cooker, an electric steamer, a microwave oven, and the like. In the cooking apparatus, due to the nature of food to be cooked and the airtight inside the cooking apparatus, stains are easily generated inside the cooking apparatus, and it is necessary to clean the stains inside the cooking apparatus in time. Through the following embodiments, in the manner described, the timing for cleaning the stain can be clearly known, and the stain inside the cooking device can be cleaned in time.
For a better understanding of the embodiments, technical terms in the embodiments of the present application are explained below:
chroma: color is commonly represented by luminance and chrominance, which is the property of a color that excludes luminance, reflecting the hue and saturation of the color.
Chroma value: is the value of the chromaticity of the image.
Pixels, also called resolutions, refer to an array of horizontal and vertical pixels that can be displayed, the values of which generally correspond to several display modes.
For the cooking device in the embodiment of the present invention, the image inside the cooking device has a reference image, the reference image may be an image acquired for the first time when the cooking device is shipped, and the color of the reference image may be the same or different. Each reference image has corresponding pixel points and chromatic values, and the chromatic values can be black-white chromatic values or color chromatic values (namely RGB chromatic values). If the pixel point is 1366 × 768, it means that 1366 pixel points are divided in the horizontal direction and 768 pixel points are divided in the vertical direction of the display screen. The higher the resolution, the larger the range of receivable resolution, and the wider the display signal reception range.
The invention will now be described with reference to an alternative embodiment. Fig. 1 is a flowchart of a cleaning method of a cooking apparatus according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, collecting an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment.
The target area may be an area corresponding to an image captured by the image capturing device, and the range of the area may be an area for fixing the captured image after the image capturing device is fixed. The parameter of the target area may be a parameter for determining the target area according to the capability of the image capturing device to capture an image and the size of the area inside the cooking device, where the capability of the image capturing device to capture an image may refer to: the length and width of the captured image, the speed of capturing the image, the pixels of the image, the size of the stored image, etc., while for the area inside the cooking appliance, it may refer to: the area of the cooking device interior where the various sides are located may include, but is not limited to, the bottom surface, the top cover surface, the sides, etc.
The image capture device may be disposed at a variety of locations within the cooking device, including but not limited to: the upper center point, the side center point and the like, and when the cooking device is arranged, a position opposite to an area where more stains are generated can be selected to acquire an image of the area where the stains are generated in the cooking device. For example, in an oven, generally, baking is performed on the bottom surface, so that stains are easily generated on the bottom surface, and at this time, an image acquisition device may be arranged in the upper region of the oven, so as to conveniently acquire an image of the whole oven bottom region, and further determine whether to clean the stains.
For acquiring the image in the target region in the above step, obtaining the target image may include: determining a target area through preset identification information, wherein the identification information is preset in the cooking equipment, and the chromatic value of the identification information is different from the reference chromatic value in the cooking equipment; and acquiring the image in the determined target area to obtain a target image.
The area needing to acquire the image can be identified through the identification information, and a more regular image can be obtained through acquiring the image in the target area. The identification information may include, but is not limited to: a square, a circle, "+", "-", etc., by which a more distinct area can be determined in an area inside the cooking apparatus, for example, by which a rectangular target area is determined, with corresponding identification information at the corner positions of the rectangle. The color of the identification information is obviously different from that of a reference image inside the cooking equipment, and the chromaticity of the identification information is different, so that which part is a target area and which part is a non-target area can be distinguished, and the image inside the target area can be conveniently analyzed. Optionally, the rule types of the target area include, but are not limited to: square, rectangular, circular, trapezoidal, etc.
When the image is collected, the image in the target area is collected in a key mode, and a more regular image is obtained. Optionally, the color of the collected image may be determined according to the type of the image collecting device, for example, when the image collecting device collects a black-and-white image, the black-and-white image corresponding to the target area may be determined, where the chromaticity of the black-and-white image may be a gray scale, and the gray scale of the reference image is different from the gray scale of the image after the stain is generated, and at this time, it may be determined whether the chromaticity value of the gray scale image corresponding to the stain of the cooking device reaches a value that needs to be cleaned.
Preferably, the target area is a bottom surface area in an inner wall of the cooking apparatus.
Step S104, acquiring a chromatic value of the target image.
When obtaining the colorimetric value of the target image, the colorimetric value may be determined according to the type of the colorimetric value of the captured image, which includes but is not limited to: gray scale, color and the like, wherein for a gray scale image, a gray scale value needs to be determined, the gray scale value is taken as a chromatic value of a target image, and for a color image, RGB numerical values need to be determined so as to comprehensively determine the overall chromatic value of the image. Each target image may have a corresponding pixel, and the pixel may be a value of a pixel obtained by the length and width of the target image, and the value of the pixel is not limited in this application, for example, 1000 pixels.
Step S106, judging whether the chromatic value meets at least one preset condition.
And determining whether the colorimetric value meets a plurality of preset conditions through the acquired colorimetric value of the target image so as to determine whether the cooking equipment needs to be cleaned through the preset conditions.
And step S108, determining whether the cooking equipment needs to be cleaned according to the judgment result.
According to the method and the device, whether the cooking equipment needs to be cleaned or not is judged according to the preset conditions, the stain in the cooking equipment can be judged once in each preset time period, and therefore when the stain in the cooking equipment is more, a user can be informed of the fact that the stain needs to be cleaned by sending out prompt information, or the stain can be automatically cleaned through a stain cleaning device in the cooking equipment.
The cooking device may be provided with a stain cleaner inside, or may be cleaned in other manners, for example, the stain is decomposed into flowing oil stains by electric vibration or electromagnetic wave vibration, a stain storage is provided outside the cooking device, and the decomposed oil stains are transferred to the stain storage by the flow pipe.
Through the steps, the image in the target area can be collected firstly to obtain the target image, the chromatic value of the target image is obtained, whether at least one preset condition is met or not is judged according to the chromatic value, and whether the cooking equipment needs to be cleaned or not is determined according to the judgment result. In this embodiment, can be through gathering the image of the inside target area of cooking equipment to whether need clean cooking equipment according to the chromatic value judgement of image, just so can the inside condition of real-time analysis cooking equipment, with the opportunity of determining clean cooking equipment, thereby when solving in the correlation technique when the inside spot of clearance cooking equipment, because the cleaning time is long leads to the inside cleanliness of cooking equipment low, the technical problem that user experience degree is low, reach the effect of timely, the inside spot of effectual clearance cooking equipment, keep cooking equipment's cleanliness.
In the foregoing implementation steps, when determining whether the chroma value satisfies at least one preset condition, where the preset condition may include at least one of: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not under a first condition, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; judging whether the ratio of the number of the determined target sub-images with chromaticity weights larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, wherein the target sub-images are sub-images corresponding to sub-areas in a target area in the target image, and the chromaticity weights of the target sub-images are the average chromaticity weights of the sub-areas in each target sub-image; and judging whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of the preset threshold values to the total number of the difference values of the target sub-images and exceeds a second preset ratio value or not. The standard chromaticity difference value is a threshold value of the difference value between the preset reference image and the acquired chromaticity value of the image, and when the standard chromaticity difference value is exceeded, the chromaticity difference of the image can be determined to be large, and the cooking equipment may need to be cleaned.
For the first condition described above, the target image may be a whole image, i.e. an area containing the whole target area, e.g. 50cm in length and 40cm in width, which is a single whole image of the target area. After the target image of the target area is collected, the sizes of pixel points of the target image and the chromatic values of the target image are determined, and then the image with the chromatic values exceeding the standard chromatic difference value in the difference value between the chromatic value and the reference chromatic value in each pixel point in the target image is filtered through a preset filtering method. For example, there is food residue in the target area, and after the target image is acquired, the chroma value of the image of the area where the food residue is located and the chroma value of the image of other areas may exceed the preset standard chroma difference, and at this time, the image of the area where the food residue is located needs to be filtered.
Optionally, in the first condition, after filtering out an image with a large chromaticity difference, an average value of chromaticity values of images of pixel points corresponding to other regions may be determined, and after obtaining the average value of chromaticity values of the pixel points, the average value of chromaticity values is compared with the standard chromaticity difference to determine whether the average value of chromaticity values exceeds the standard chromaticity difference, and if the average value of chromaticity values exceeds the standard chromaticity difference, it is determined that the cooking device needs to be cleaned. For example, a plurality of colorimetric values, including 10,20,30,40,50,60, and 70, exist in a pixel point of the target image, and when the obtained average value of the colorimetric values is 40, the reference colorimetric value is 50, and the standard colorimetric difference value is 30, it can be determined that there is no part to be filtered out in the part, and it is not necessary to clean the cooking device.
For the second condition, the target image may include the target sub-image, and when the target sub-image is divided, the target image may be determined according to the actual length and width of the target region, or may be determined according to a preset threshold, for example, the target image may be divided into 100, then there are 100 target sub-images, each target sub-image may include a center region and an edge region, the chromaticity weight of each target sub-image is divided, the chromaticity weight of each target sub-image is compared with the chromaticity value of the reference image to obtain a plurality of chromaticity difference values of the target sub-images, and it is determined whether the chromaticity difference value of the target sub-image is greater than the chromaticity difference value of the reference image, through statistics of the number of the chromaticity difference values of the target sub-images which are greater than the chromaticity difference value of the reference image, it is determined whether the cooking device needs to be cleaned, and, the cooking appliance is determined to be required to be cleaned when the ratio to the total number of target sub-images exceeds a first preset ratio (e.g., 30%), and the cooking appliance is determined not to be required to be cleaned when the first preset ratio is not exceeded.
For the second condition, before determining whether a ratio of the number of the target sub-images, of which the chromaticity weight is greater than the reference chromaticity value, to the total number of the target sub-images exceeds a first preset ratio among a plurality of target sub-images included in the target image, the method includes: determining a chromaticity weight of a first region and a chromaticity weight of a second region in each target sub-image, wherein the chromaticity weight of the first region is greater than the chromaticity weight of the second region; and obtaining the chromaticity weight of the target sub-image according to the chromaticity weight of the first region and the chromaticity weight of the second region in the target sub-image.
According to the foregoing embodiment, the first region and the second region of the target sub-image may be divided, and after determining the chromaticity weight of the first region and the second region, the chromaticity weight of the target sub-image may be determined, that is, an average value of the chromaticity weights of the first region and the second region may be used as the chromaticity weight of the target sub-image, where the chromaticity weight of the first region is greater than the chromaticity weight of the second region, for example, the chromaticity weight of the first region is 50, and the chromaticity weight of the second region is 30. Optionally, after determining the chromaticity weight of the first region and the chromaticity weight of the second region, the chromaticity weight of the first region and the chromaticity weight of the second region may be adjusted. In this case, the chromaticity weight of the target sub-image may be determined by determining the chromaticity weight of the first region and the chromaticity weight of the second region and combining the priorities. For example, the chroma weight of the first region is a, the value corresponding to the priority is 1.2, the chroma weight of the second region is B, the value corresponding to the priority is 0.8, and when determining the chroma weight of the target sub-image, the chroma weight may be (a × 1.2+ B × 0.8)/2.
For the third condition, after the multiple target sub-images and the chrominance weight of each target sub-image are obtained, a part of images with the highest chrominance weight in the multiple target sub-images are filtered by another filtering method, for example, 5% of target sub-images with the highest chrominance weight are filtered. Optionally, before determining whether a difference between chrominance weights of each two target sub-images in the plurality of target sub-images is greater than a ratio of the number of preset thresholds to the total number of differences of the target sub-images and exceeds a second preset ratio, the method includes: acquiring the difference value of the chromaticity weight between every two target sub-images; filtering target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the plurality of target sub-images; and determining the target sub-images with the chrominance weight difference values within the preset range in the plurality of target sub-images according to the filtering result.
Optionally, after the target sub-images are filtered, a difference between chrominance values of every two target sub-images is determined, whether the difference between the chrominance values of every two target sub-images exceeds a preset threshold is determined, the number of chrominance values between the target sub-images exceeding the preset threshold is counted, whether the number exceeds a second preset ratio (30%) is determined, and under the condition that the number exceeds the second preset ratio, it is determined that the cooking device needs to be cleaned. For example, if the target sub-images have a (chroma value of 100), B (chroma value of 90), C (chroma value of 110), and D (chroma value of 50), and the preset threshold is 20, it is determined that the difference between A, B, C and D exceeds the preset threshold, and the difference between the number ratios exceeds 1/4 of the preset threshold, and does not exceed the second preset ratio, and at this time, it is determined that the cooking apparatus does not need to be cleaned.
In the above embodiment, determining whether the cooking apparatus needs to be cleaned according to the determination result includes: when the colorimetric value meets any one of the first condition, the second condition and the third condition, determining that the interior of the cooking device needs to be cleaned; alternatively, it is determined that the interior of the cooking apparatus needs to be cleaned when the chromaticity value satisfies any two or all of the first, second, and third conditions.
The first condition, the second condition, and the third condition may be used in combination, that is, after determining whether cleaning is required through the three conditions, if two or three conditions exist, it is determined that the cooking apparatus needs to be cleaned, the cooking apparatus may be cleaned, if one condition determines that the cooking apparatus needs to be cleaned, and the other condition determines that the cooking apparatus does not need to be cleaned, the target image may be collected again, and it may be determined whether cleaning of the cooking apparatus is required again.
For the above embodiment, after acquiring the image of the target region, this embodiment further includes: preprocessing the image of the target area to obtain an image of a preset type, wherein the preset type comprises at least one of the following types: rectangle, square, round. Wherein, the preprocessing may refer to processing the first acquired image, including but not limited to: filtering impurities, cutting images, dividing images and the like.
Through above-mentioned embodiment, can be through gathering the inside image of cooking equipment and carrying out the analysis to the image to help the user to judge the reality of clean cooking equipment, with the saving electric energy.
Taking an oven as an example of cooking equipment, a cleaning method of the cooking equipment in the invention is explained in detail.
The method comprises the steps of firstly setting an image acquisition device, wherein the image acquisition device can acquire an image of the inner wall of an oven (such as a baking appliance, and the baking appliance is used subsequently and is also called as an oven substitute) (black and white/color, black and white available gray scale is used as a judgment condition, and color can be judged by RGB values). In particular, a black and white camera may be employed as the image capture device in this example, with the oven cavity bottom panel as the identified active area.
Optionally, the inner wall of the oven can be added with a mark point for image recognition and comparison, the mark point can be in the shape of, but not only a square, a circle, "+" - ", and the like, and the mark easily recognized by the image acquisition equipment requires that the color of the mark is different from the color of the inner wall of the oven. The mark points serve as the identification patterns to help the processing unit to correct the acquired image, serve as the identification patterns to help the processing unit to judge the effective identification area, serve as the identification patterns, and the processing unit can correct the difference value of the patterns according to the color difference to filter the influence of the light intensity on the acquired image.
When judging whether the oven needs to be cleaned, the cleanliness inside the oven can be judged by adopting one of the following criteria or by combining the following criteria in actual judgment, and all the criteria are established on the basis that the identification area is an effective area (namely, only the part of the inner wall of the oven shot in the image is judged, and the invalid part does not participate in the judgment)
1) The colorimetric values (gray value, R value, G value, B value) of the effective region are calculated by the tail-biting average method (specific operation: the maximum edge value with the distribution quantity less than 1% -2% of the total amount of the samples is removed, so that the influence of small food residues on the overall judgment value can be filtered out), the average number of the chroma of the pixel points of the image is compared with the reference chroma of the panel, and if the difference value is more than 30, the situation that the inside of the oven needs to be cleaned is judged.
2) The method comprises the steps of performing area division (the percentage guaranteed effective division exceeds 20 parts) on an effective area by 100 parts, performing truncation average or weighted average on colorimetric values of area blocks respectively (performing weight division on the central part/edge part of each area, properly increasing the weight of the central area, and reducing the weight of the edge area), judging the colorimetric values of each area and a panel reference colorimetric value, judging that the current area exceeds the standard if the difference of the colorimetric values is greater than a noise value (preset 5), and judging that an oven needs to be cleaned if the number of the areas exceeding the standard is greater than 30% of the total number of samples.
3) The effective area is divided into 100 parts (the percentage of effective division is more than 20 parts), the chrominance values of the area blocks are respectively subjected to truncation average or weighted average (the weight of the central part/edge part of each area is divided, the weight of the central area is properly increased, the weight of the edge area is reduced), the data after area average is truncated (the data with the highest difference value of 5 percent is removed), the difference is carried out on the rest data in pairs, and if the proportion of the difference value larger than the noise value (5) is larger than 30 percent, the oven is judged to be required to be cleaned.
Because greasy dirt is easy to accumulate on the bottom surface, the bottom surface of the oven is optimally selected as an effective identification surface in the judgment area of the oven. The method can be applied to products with sealed cavities and high temperature and heavy oil pollution, such as electric ovens, electric steam boxes, microwave ovens and the like.
The oven cleanliness is identified once a day, and the time when the user is not in use is selected to capture an image of the identified area.
After the effective identification area is determined, the judgment conditions (1), (2) and (3) are used for joint judgment, if the two judgment conditions return to the condition that cleaning is needed, the user is reminded of cleaning, if only one of the two judgment conditions returns to the condition that cleaning is needed, the user is reminded of performing capturing and judgment again, if the two conditions return to the condition that cleaning is needed for the second time, the user is reminded of cleaning, otherwise, the identification is finished, and the result is that cleaning is not needed.
Through the embodiment, the time for cleaning the inside of the oven can be timely known, and a user is reminded of timely cleaning stains on the inner wall of the oven.
Fig. 2 is a structural view of a cleaning apparatus of a cooking appliance according to an embodiment of the present invention, as shown in fig. 2, the apparatus including: the acquisition unit 22 is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; an acquisition unit 24 configured to acquire a chromatic value of the target image; a judging unit 26, configured to judge whether the chroma value satisfies at least one preset condition; a determination unit 28 for determining whether the cooking apparatus needs to be cleaned according to the determination result.
In the above embodiment, the image in the target area may be collected by the collecting unit 22 to obtain the target image, the chromatic value of the target image is obtained by the obtaining unit 24, then the determining unit 26 determines whether at least one preset condition is met according to the chromatic value, and then the determining unit 28 determines whether the cooking device needs to be cleaned according to the determination result. In this embodiment, can be through gathering the image of the inside target area of cooking equipment to whether need clean cooking equipment according to the chromatic value judgement of image, just so can the inside condition of real-time analysis cooking equipment, with the opportunity of determining clean cooking equipment, thereby when solving in the correlation technique when the inside spot of clearance cooking equipment, because the cleaning time is long leads to the inside cleanliness of cooking equipment low, the technical problem that user experience degree is low, reach the effect of timely, the inside spot of effectual clearance cooking equipment, keep cooking equipment's cleanliness.
For the above-mentioned judging unit 26, the preset condition may include at least one of the following: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not under a first condition, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; judging whether the ratio of the number of the determined target sub-images with chromaticity weights larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, wherein the target sub-images are sub-images corresponding to sub-areas in a target area in the target image, and the chromaticity weights of the target sub-images are the average chromaticity weights of the sub-areas in each target sub-image; and judging whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of the preset threshold values to the total number of the difference values of the target sub-images and exceeds a second preset ratio value or not.
The cleaning device of the cooking apparatus comprises a processor and a memory, wherein the acquisition unit 22, the acquisition unit 24, the judgment unit 26, the determination unit 28 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
Fig. 3 is a schematic view of another cooking apparatus according to an embodiment of the present invention, as shown in fig. 3, the cooking apparatus including: the image acquisition device 31 is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; a processor 33, configured to obtain a chromatic value of the target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking apparatus needs to be cleaned according to the determination result.
In the cooking apparatus shown in fig. 3, the image acquisition device 31 may be used to acquire an image of the target area to obtain a target image, the processor 33 may be used to acquire a colorimetric value of the target image, and after the colorimetric value of the target image is acquired, whether the cooking apparatus needs to be cleaned is determined according to a determination result. The image of the target area of the cooking device can be used to analyze whether stains inside the cooking device need to be cleaned.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, the effect of timely and effectively cleaning stains inside the cooking equipment is achieved by adjusting the kernel parameters, and the cleanliness of the cooking equipment is improved.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the cleaning method of the cooking apparatus described above when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program executes the cleaning method of the cooking equipment when running.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; acquiring a chromatic value of a target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking equipment needs to be cleaned according to the judgment result.
The preset condition comprises at least one of the following conditions: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not under a first condition, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; judging whether the ratio of the number of the determined target sub-images with chromaticity weights larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, wherein the target sub-images are sub-images corresponding to sub-areas in a target area in the target image, and the chromaticity weights of the target sub-images are the average chromaticity weights of the sub-areas in each target sub-image; and judging whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of the preset threshold values to the total number of the difference values of the target sub-images and exceeds a second preset ratio value or not.
Optionally, the processor executes the program to implement the following steps: when the colorimetric value meets any one of the first condition, the second condition and the third condition, determining that the interior of the cooking device needs to be cleaned; alternatively, it is determined that the interior of the cooking apparatus needs to be cleaned when the chromaticity value satisfies any two or all of the first, second, and third conditions.
Optionally, the processor executes the program to implement the following steps: before judging whether the ratio of the number of the determined target sub-images with the chromaticity weight values larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, determining the chromaticity weight value of a first area and the chromaticity weight value of a second area in each target sub-image, wherein the chromaticity weight value of the first area is larger than the chromaticity weight value of the second area; and obtaining the chromaticity weight of the target sub-image according to the chromaticity weight of the first region and the chromaticity weight of the second region in the target sub-image.
Optionally, the processor executes the program to implement the following steps: before judging whether the difference value of the chromaticity weight value between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of preset threshold values to the total number of the difference values of the target sub-images and whether the difference value exceeds a second preset ratio value, acquiring the difference value of the chromaticity weight value between every two target sub-images; filtering target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the plurality of target sub-images; and determining the target sub-images with the chrominance weight difference values within the preset range in the plurality of target sub-images according to the filtering result.
Optionally, the processor executes the program to implement the following steps: determining a target area through preset identification information, wherein the identification information is preset in the cooking equipment, and the chromatic value of the identification information is different from the reference chromatic value in the cooking equipment; and acquiring the image in the determined target area to obtain a target image.
Optionally, the processor executes the program to implement the following steps: the method comprises the following steps of preprocessing an image of a target area after acquiring the image of the target area to obtain an image of a preset type, wherein the preset type comprises at least one of the following types: rectangle, square, round.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment; acquiring a chromatic value of a target image; judging whether the chromatic value meets at least one preset condition; and determining whether the cooking equipment needs to be cleaned according to the judgment result.
The preset condition comprises at least one of the following conditions: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not under a first condition, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; judging whether the ratio of the number of the determined target sub-images with chromaticity weights larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, wherein the target sub-images are sub-images corresponding to sub-areas in a target area in the target image, and the chromaticity weights of the target sub-images are the average chromaticity weights of the sub-areas in each target sub-image; and judging whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of the preset threshold values to the total number of the difference values of the target sub-images and exceeds a second preset ratio value or not.
Optionally, the program, when executed on a data processing device, is further adapted to perform the method steps of: when the colorimetric value meets any one of the first condition, the second condition and the third condition, determining that the interior of the cooking device needs to be cleaned; alternatively, it is determined that the interior of the cooking apparatus needs to be cleaned when the chromaticity value satisfies any two or all of the first, second, and third conditions.
Optionally, the program, when executed on a data processing device, is further adapted to perform the method steps of: before judging whether the ratio of the number of the determined target sub-images with the chromaticity weight values larger than the reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not in a plurality of target sub-images contained in the target image, determining the chromaticity weight value of a first area and the chromaticity weight value of a second area in each target sub-image, wherein the chromaticity weight value of the first area is larger than the chromaticity weight value of the second area; and obtaining the chromaticity weight of the target sub-image according to the chromaticity weight of the first region and the chromaticity weight of the second region in the target sub-image.
Optionally, the program, when executed on a data processing device, is further adapted to perform the method steps of: before judging whether the difference value of the chromaticity weight value between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of preset threshold values to the total number of the difference values of the target sub-images and whether the difference value exceeds a second preset ratio value, acquiring the difference value of the chromaticity weight value between every two target sub-images; filtering target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the plurality of target sub-images; and determining the target sub-images with the chrominance weight difference values within the preset range in the plurality of target sub-images according to the filtering result.
Optionally, the program, when executed on a data processing device, is further adapted to perform the method steps of: determining a target area through preset identification information, wherein the identification information is preset in the cooking equipment, and the chromatic value of the identification information is different from the reference chromatic value in the cooking equipment; and acquiring the image in the determined target area to obtain a target image.
Optionally, the program, when executed on a data processing device, is further adapted to perform the method steps of: the method comprises the following steps of preprocessing an image of a target area after acquiring the image of the target area to obtain an image of a preset type, wherein the preset type comprises at least one of the following types: rectangle, square, round.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A method of cleaning a cooking device, comprising:
acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment;
acquiring a chromatic value of the target image;
judging whether the chromatic value meets the following preset conditions;
determining whether the cooking apparatus needs to be cleaned according to the determination result,
the preset conditions include: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; the second condition is that whether the ratio of the number of the determined target sub-images with chromaticity weights larger than a reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not is judged, wherein the target sub-images are sub-images corresponding to sub-areas in the target area in the target image, and the chromaticity weights of the target sub-images are average chromaticity weights of the sub-areas in each target sub-image; the third condition is that whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images exceeds a second preset ratio value or not according to the ratio of the number of the difference values of the two target sub-images to the total number of the difference values of the target sub-images,
before judging whether the difference of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of preset thresholds to the total number of the difference values of the target sub-images and whether the difference value exceeds a second preset ratio, the method comprises the following steps: acquiring a difference value of the chromaticity weight between each two target sub-images; filtering out target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the target sub-images; and determining the target sub-images with the chrominance weight difference values within a preset range in the plurality of target sub-images according to the filtering result.
2. The method according to claim 1, wherein before determining whether a ratio of the number of target sub-images with chrominance weights larger than a reference chrominance value to the total number of the target sub-images exceeds a first preset ratio among a plurality of target sub-images included in the target image, the method includes:
determining a chromaticity weight of a first region and a chromaticity weight of a second region in each target sub-image, wherein the chromaticity weight of the first region is greater than the chromaticity weight of the second region;
and obtaining the chromaticity weight of the target sub-image according to the chromaticity weight of the first region and the chromaticity weight of the second region in the target sub-image.
3. The method of claim 1, wherein acquiring an image within the target region, obtaining the target image comprises:
determining the target area through preset identification information, wherein the identification information is preset inside the cooking equipment, and the chromatic value of the identification information is different from the reference chromatic value inside the cooking equipment;
and acquiring the determined image in the target area to obtain a target image.
4. The method of claim 1, wherein after acquiring the image of the target region, the method further comprises:
preprocessing the image of the target area to obtain an image of a preset type, wherein the preset type comprises at least one of the following types: rectangle, square, round.
5. The method of claim 1, wherein the target area is a floor area in an inner wall of the cooking apparatus.
6. A cleaning device for a cooking apparatus, comprising:
the acquisition unit is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment;
an acquisition unit configured to acquire a chromatic value of the target image;
the judging unit is used for judging whether the chromatic value meets the following preset conditions or not;
a determination unit for determining whether the cooking apparatus needs to be cleaned according to the determination result,
the preset conditions include: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; the second condition is that whether the ratio of the number of the determined target sub-images with chromaticity weights larger than a reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not is judged, wherein the target sub-images are sub-images corresponding to sub-areas in the target area in the target image, and the chromaticity weights of the target sub-images are average chromaticity weights of the sub-areas in each target sub-image; the third condition is that whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images exceeds a second preset ratio value or not according to the ratio of the number of the difference values of the two target sub-images to the total number of the difference values of the target sub-images,
before judging whether the difference of the chromaticity weight values between every two target sub-images in the plurality of target sub-images is larger than the ratio of the number of preset threshold values to the total number of the difference values of the target sub-images and whether the difference value exceeds a second preset ratio, the cleaning device of the cooking equipment is further used for: acquiring a difference value of the chromaticity weight between each two target sub-images; filtering out target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the target sub-images; and determining the target sub-images with the chrominance weight difference values within a preset range in the plurality of target sub-images according to the filtering result.
7. A cooking apparatus, characterized by comprising:
the image acquisition device is used for acquiring an image in a target area to obtain a target image, wherein the target area is an area inside the cooking equipment;
a processor for obtaining a chromatic value of the target image; judging whether the chromatic value meets the following preset conditions; and determining whether the cooking apparatus needs to be cleaned according to the determination result,
the preset conditions include: the method comprises the steps of judging whether a target chromaticity difference value exceeds a standard chromaticity difference value or not, wherein the target chromaticity difference value is the difference value between the chromaticity value of a target image and a reference chromaticity value, and the reference chromaticity value is the chromaticity value of a reference image inside the cooking equipment; the second condition is that whether the ratio of the number of the determined target sub-images with chromaticity weights larger than a reference chromaticity value to the total number of the target sub-images exceeds a first preset ratio or not is judged, wherein the target sub-images are sub-images corresponding to sub-areas in the target area in the target image, and the chromaticity weights of the target sub-images are average chromaticity weights of the sub-areas in each target sub-image; the third condition is that whether the difference value of the chromaticity weight values between every two target sub-images in the plurality of target sub-images exceeds a second preset ratio value or not according to the ratio of the number of the difference values of the two target sub-images to the total number of the difference values of the target sub-images,
before determining whether the difference between the chrominance weights of each two target sub-images in the plurality of target sub-images is greater than a ratio of the number of preset thresholds to the total number of the differences of the target sub-images, and the second preset ratio is exceeded, the processor is further configured to: acquiring a difference value of the chromaticity weight between each two target sub-images; filtering out target sub-images exceeding a preset chromaticity weight difference value in the chromaticity weight difference values among the target sub-images; and determining the target sub-images with the chrominance weight difference values within a preset range in the plurality of target sub-images according to the filtering result.
8. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the cleaning method of the cooking appliance of any one of claims 1 to 5.
9. A storage medium characterized by comprising a stored program, wherein the program performs a cleaning method of a cooking apparatus of any one of claims 1 to 5.
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| WO2019169613A1 (en) * | 2018-03-08 | 2019-09-12 | Midea Group Co., Ltd. | Smart rice cookers capable of mixed grain cooking and abnormal conditions detection |
| CN110584466B (en) * | 2018-06-13 | 2022-06-28 | 浙江绍兴苏泊尔生活电器有限公司 | Cooking appliance and prompting method and device thereof |
| CN110870695B (en) * | 2018-08-31 | 2022-04-22 | 佛山市顺德区美的电热电器制造有限公司 | Self-cleaning method of cooking appliance and cooking appliance |
| CN109393998A (en) * | 2018-10-10 | 2019-03-01 | 珠海格力电器股份有限公司 | A kind of cooking apparatus and its control method |
| CN111091029B (en) * | 2018-10-24 | 2022-05-17 | 宁波方太厨具有限公司 | Method for evaluating uniformity of baked food in oven |
| CN110179411B (en) * | 2019-06-03 | 2020-12-04 | 嘉应学院 | Cleaning robot based on image recognition |
| CN111025929B (en) * | 2019-12-27 | 2023-10-13 | 广东美的厨房电器制造有限公司 | Cleaning method and device for cooking equipment, electronic equipment and storage medium |
| CN111722560B (en) * | 2020-05-25 | 2021-10-15 | 珠海格力电器股份有限公司 | Cooking equipment self-cleaning method and device and cooking equipment |
| CN112337861A (en) * | 2020-09-15 | 2021-02-09 | 华帝股份有限公司 | Cleaning control method for cooking equipment and cooking equipment applying cleaning control method |
| CN113020126A (en) * | 2021-02-01 | 2021-06-25 | 武汉光谷航天三江激光产业技术研究院有限公司 | Online detection method and system, terminal equipment, storage medium and detection head |
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