Quantitative evaluation method and device for cleaning effect of surface of cleaning part of cleaning equipment

Abstract

The invention relates to the technical field of intelligent electric appliances, and provides a quantitative evaluation method and device for the cleaning effect of the surface of a cleaning part of cleaning equipment, and the method comprises the steps: obtaining an actual smudginess value after the cleaning part in the cleaning equipment is cleaned, a smudginess value before the cleaning part is cleaned, and an initial smudginess value; wherein the initial dirt value is a reference value for quantitative evaluation of the cleaning effect of the cleaning part; determining the current cleaning rate of the cleaning part after cleaning based on the actual smudginess value, the smudginess value before cleaning and the initial smudginess value; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning part in the cleaning equipment; and determining a cleaning result of a cleaning part in the cleaning equipment based on the current cleaning rate. According to the quantitative evaluation method for the cleaning effect of the surface of the cleaning part of the cleaning equipment, quantitative evaluation can be conducted on the cleaning effect of the cleaning part of the cleaning equipment, the judgment accuracy and efficiency of the cleaning effect of the cleaning part of the cleaning equipment are effectively improved, and therefore the use experience of a user is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent electrical appliance technology, and in particular to a method and device for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, and also to an electronic device and a non-transitory computer-readable storage medium. Background Art

[0002] In recent years, with the continuous development of the economy and society, various smart appliances are being used more and more widely in people's daily lives. In particular, with the improvement of people's living standards, intelligent household cleaning equipment has gradually entered thousands of households, among which cleaning equipment has been favored by consumers in the market. Various smart cleaning devices already have the automatic cleaning function of cleaning parts. However, it is usually difficult to effectively judge the current self-cleaning effect, which brings inconvenience to users and affects the user experience. Therefore, how to provide a faster and more efficient quantitative judgment scheme for the cleaning effect of cleaning parts of cleaning equipment has become a problem that needs to be solved urgently. Summary of the invention

[0003] The present invention provides a method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, so as to solve the defect that the quantitative evaluation scheme for the cleaning effect of the surface of a cleaning component of a cleaning device in the prior art has high limitations, resulting in poor accuracy in judging the self-cleaning effect and affecting the user experience.

[0004] The present invention provides a method for quantitatively evaluating the cleaning effect of a surface of a cleaning component of a cleaning device, comprising:

[0005] Obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component;

[0006] Based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, determining a current cleaning rate of the cleaning component after cleaning; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device;

[0007] A cleaning result of a cleaning component in the cleaning device is determined based on the current cleaning rate.

[0008] Further, the determining of the current cleaning rate of the cleaning component after scrubbing based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value specifically includes:

[0009] determining a first difference between the actual soiling value and the soiling value before cleaning;

[0010] determining a second difference between the initial soiling value and the soiling value before cleaning;

[0011] A ratio of the first difference to the second difference is determined, and the ratio is determined as a current cleaning rate of the cleaning component after scrubbing.

[0012] Furthermore, the obtaining of the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning parts in the cleaning equipment includes: using a preset standard image shooting environment and equipment to perform dirtiness assessment on the surface of the cleaning equipment to obtain the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning parts in the cleaning equipment.

[0013] Furthermore, the method also includes: determining a cleaning effect of a cleaning component of the cleaning device based on a saturation value of an image corresponding to the cleaning component of the cleaning device.

[0014] Furthermore, after obtaining the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value, the method further includes:

[0015] Performing linear regression analysis on the obtained sample dirtiness value after cleaning, the sample dirtiness value before cleaning or the sample dirtiness limit value to obtain a corresponding linear regression model; wherein the linear regression model is used to evaluate the normalization of numerical values;

[0016] After the corresponding linear regression model is obtained, a cleanliness metric that meets the expected range of regression is determined based on the linear regression model.

[0017] Furthermore, before obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning device, the method further includes:

[0018] Acquire an image of a cleaning component in a cleaning device after cleaning, an image before cleaning, and an initial image;

[0019] Based on the image after cleaning, the image before cleaning and the initial image, the corresponding average saturation value is calculated, and based on the average saturation value, the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning device are determined.

[0020] The present invention also provides a device for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, comprising:

[0021] A dirtiness value acquisition unit, used to acquire an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component;

[0022] A cleaning rate determination unit, configured to determine a current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device;

[0023] A cleaning result determination unit is used to determine a cleaning result of a cleaning component in the cleaning device based on the current cleaning rate.

[0024] Furthermore, the cleaning rate determination unit is specifically used for:

[0025] determining a first difference between the actual soiling value and the soiling value before cleaning;

[0026] determining a second difference between the initial soiling value and the soiling value before cleaning;

[0027] A ratio of the first difference to the second difference is determined, and the ratio is determined as a current cleaning rate of the cleaning component after scrubbing.

[0028] Furthermore, the dirt value acquisition unit is used to use a preset standard image shooting environment and equipment to evaluate the dirtiness of the surface of the cleaning device to obtain the actual dirtiness value of the cleaning components in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value.

[0029] Furthermore, the method also includes: determining a cleaning effect of a cleaning component of the cleaning device based on a saturation value of an image corresponding to the cleaning component of the cleaning device.

[0030] Furthermore, after obtaining the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value, the method further includes:

[0031] A linear regression model building unit, used to perform linear regression analysis on the obtained sample dirtiness value after cleaning, the sample dirtiness value before cleaning or the sample dirtiness limit value to obtain a corresponding linear regression model; wherein the linear regression model is used to evaluate numerical normalization;

[0032] The cleaning result analysis unit is used to determine the cleaning metric that meets the expected range of regression based on the linear regression model after obtaining the corresponding linear regression model.

[0033] Furthermore, before obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning device, the method further includes:

[0034] A dirtiness value determination unit is used to obtain an image of a cleaning component in a cleaning device after cleaning, an image before cleaning, and an initial image; based on the image after cleaning, the image before cleaning, and the initial image, a corresponding average saturation value is calculated; and based on the average saturation value, an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of the cleaning component in the cleaning device are determined.

[0035] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of a method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of any of the cleaning devices described above are implemented.

[0036] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for quantitatively evaluating the cleaning effect of a surface of a cleaning component of a cleaning device as described in any one of the above.

[0037] The present invention provides a method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, by obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning, and the initial dirtiness value of the cleaning component in the cleaning device, and determining the current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, and then determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate. The method can quantitatively evaluate the cleaning effect of the cleaning component of the cleaning device, effectively improving the accuracy and efficiency of judging the cleaning effect of the cleaning component of the cleaning device, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a flow chart of a method for quantitatively evaluating the cleaning effect of a surface of a cleaning component of a cleaning device provided by the present invention;

[0040] Figure 2 It is a schematic structural diagram of a device for quantitatively evaluating the cleaning effect of a surface of a cleaning component of a cleaning device provided by the present invention;

[0041] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] It should be noted that the terms "first", "second", etc. in the specification of the present invention and the above-mentioned drawings are used to distinguish similar users, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0044] The following is a detailed description of an embodiment of the method for quantitatively evaluating the cleaning effect of the cleaning component surface of the cleaning device according to the present invention. Figure 1 As shown, it is a flow chart of the method for quantitatively evaluating the cleaning effect of the surface of the cleaning component of the cleaning equipment provided by the present invention, and the specific implementation process includes the following steps:

[0045] Step 101: obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component.

[0046] In an embodiment of the present invention, before executing this step, it is necessary to pre-execute a preset method for quantitatively evaluating the degree of dirtiness to obtain an image of the cleaning component in the cleaning device after cleaning, an image before cleaning, and an initial image, and calculate the corresponding average saturation value based on the image after cleaning, the image before cleaning, and the initial image, and determine the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value based on the average saturation value. Specifically, it includes: firstly, using a preset standard image shooting environment and equipment to clean the equipment to obtain multi-view images of the cleaning parts in the cleaning equipment, and respectively processing the multi-view images to obtain corresponding binary images, and determining multiple area contours corresponding to the dirty areas in the binary images, and then determining the image body in the multi-view images based on the multiple area contours, selecting pixel blocks of the image body, and calculating the average saturation value corresponding to the pixel blocks, and performing an average operation based on the average saturation value to determine the degree of dirtiness of the target cleaning parts, that is, obtaining the actual dirtiness value of the cleaning parts in the cleaning equipment after cleaning, the dirtiness value before cleaning, and the initial dirtiness value, and then quickly obtaining the calculated actual dirtiness value of the cleaning parts in the cleaning equipment after cleaning, the dirtiness value before cleaning, and the initial dirtiness value. Specifically, firstly, using a preset standard image shooting environment and equipment to clean the equipment to obtain the focus of the multi-view images, extract the cleaning parts images, and in the extraction and optimization process, a preset multi-level edge detection algorithm model (i.e., Canny algorithm) can be used to process the multi-view images to output corresponding binary images. Further, the binary image is corroded and expanded to achieve the purpose of denoising the edge, and then multiple regional contours existing in the binary image are found; each minimum enclosing rectangle containing each regional contour is obtained; the regional contour corresponding to the minimum enclosing rectangle that does not meet the preset conditions (for example, the area is too small or the contour center is not near the center of the image, etc.) is removed; specifically, the regional contour corresponding to the minimum preset condition rectangle whose center point position and length, width and other size parameters meet the expected conditions can be selected as the target regional contour, and then the target regional contour is used as the position of the image body. The multi-view image is converted into saturation-related information, and the pixel blocks of the image body are selected according to the above method, and their average saturation value is calculated. Each group of multi-view images (for example, three images with a 120-degree viewing angle) is processed in the same way, and then the average value is calculated, thereby obtaining a quantitative value of the degree of dirtiness of the cleaning component of the cleaning equipment. Correspondingly, the actual dirtiness value after cleaning can be the average saturation value calculated corresponding to the cleaning component image after cleaning or the average value of the average saturation values ​​corresponding to multiple cleaning component images after cleaning. The dirtiness value before cleaning may be an average saturation value calculated corresponding to the cleaning component image before cleaning or an average value of average saturation values ​​corresponding to a plurality of cleaning component images before cleaning.The initial dirtiness value may be an average saturation value calculated corresponding to a clean cleaning component image (i.e., a newly unpacked cleaning component image) or an average value of average saturation values ​​corresponding to multiple clean cleaning component images. In a specific implementation, the initial dirtiness value may be used as a reference value for quantitative evaluation of the cleaning effect of the cleaning component. The cleaning component may be a roller brush.

[0047] Step 102: Determine a current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device.

[0048] In an embodiment of the present invention, the first difference between the actual dirtiness value of the cleaning component after cleaning and the dirtiness value before cleaning is calculated, and the second difference between the initial dirtiness value and the dirtiness value before cleaning is calculated, and the ratio of the first difference and the second difference is further calculated, and the ratio is then determined as the current cleaning rate of the cleaning component after scrubbing. For example, the first difference (i.e., dirtiness value 2-dirtyness value 3) between the actual dirtiness value of the cleaning component after cleaning (i.e., dirtiness value 3) and the dirtiness value before cleaning (i.e., dirtiness value 2) is calculated; the second difference (i.e., dirtiness value 2-dirtyness value 1) between the initial dirtiness value (i.e., dirtiness value 1) and the dirtiness value before cleaning (i.e., dirtiness value 2) is calculated; the ratio of the first difference and the second difference is calculated, i.e., (dirtyness value 2-dirtyness value 3) / (dirtyness value 2-dirtyness value 1), and the corresponding cleaning rate can be obtained as a quantitative evaluation index of the cleaning effect.

[0049] Furthermore, after obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning, and the initial dirtiness value of the cleaning component in the cleaning device, the preset dirtiness limit value corresponding to the cleaning component in the cleaning device can also be obtained, and the initial cleaning rate of the cleaning component after the initial cleaning is determined based on the actual dirtiness value, the dirtiness limit value, and the initial dirtiness value. The initial cleaning rate is a quantitative evaluation index of the initial cleaning effect of the cleaning component in the cleaning device. In addition, since the bit depth of the digital system provided by the present invention is limited, the dirtiness value will have a maximum value, and the dirtiness limit value described in the present invention may refer to a preset possible maximum dirtiness value.

[0050] For example, the first difference (i.e., dirtiness value 2-dirtiness value 3) between the actual dirtiness value of the cleaning component after cleaning (i.e., dirtiness value 3) and the dirtiness limit value (i.e., dirtiness value 2) is calculated; the second difference (i.e., dirtiness value 2-dirtiness value 1) between the initial dirtiness value (i.e., dirtiness value 1) and the dirtiness limit value (i.e., dirtiness value 2) is calculated; the ratio of the first difference to the second difference is calculated, i.e., (dirtyiness value 2-dirtyiness value 3) / (dirtyiness value 2-dirtyiness value 1), and the corresponding cleaning rate can be obtained as a quantitative evaluation indicator of the cleaning effect.

[0051] In addition, after obtaining the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value, the obtained sample dirtiness value after cleaning, the sample dirtiness value before cleaning, or the sample dirtiness limit value can also be used for linear regression analysis to obtain a corresponding linear regression model; wherein the linear regression model is used to evaluate the normalization of the numerical values. After obtaining the corresponding linear regression model, the current cleaning rate of the cleaning component after cleaning is determined based on the linear regression model.

[0052] That is, the actual dirtiness value of the cleaning component (i.e., dirtiness value 1), the dirtiness value of the cleaning component before cleaning (i.e., dirtiness value 2) or the limit value of the dirtiness value (i.e., dirtiness limit value) are changed to fixed values ​​through a linear regression method (such as a first-order linear regression equation), and the dirtiness value of the cleaning component after cleaning (i.e., dirtiness value 3) is substituted into the corresponding regression equation to obtain the corresponding new value as a normalization treatment (letting the cleaning components in the cleanest state and the state before self-cleaning each time correspond to fixed values ​​respectively), and at this time, a quantitative evaluation index of the cleaning effect can be obtained. Assuming that after normalization, the expected cleanliness value range (i.e., the cleanliness rate threshold) is a to b, and the values ​​of a and b are set according to the expected values ​​(e.g., a is 0, b is 100), let dirtiness value 1 be z1, dirtiness value 2 be z2, and dirtiness value 3 be x, then after first-order linear regression, the function of cleanliness relative to dirtiness value 3 is: f(x) = (a(x-z1) + b(z2-x)) / (z2-z1). f(x) is the obtained cleanliness, which is the result obtained after first-order linear regression analysis.

[0053] Step 103: Determine the cleaning result of the cleaning components in the cleaning device based on the current cleaning rate.

[0054] In an embodiment of the present invention, after determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate, it also includes: obtaining an actual quantitative value corresponding to the current cleaning rate, comparing the actual quantitative value corresponding to the current cleaning rate with a preset cleaning rate threshold, and when the actual quantitative value corresponding to the current cleaning rate reaches or exceeds the cleaning rate threshold, triggering the cleaning component in the cleaning device to end the cleaning operation.

[0055] Furthermore, based on the standardized dirt adsorption process, this method has significant characteristics of coloring and decolorization after cleaning, so that the saturation value of the corresponding image can represent the effect of its self-cleaning process. For example, the darker the color, the worse the decolorization effect. Before the dirt adsorption process, select the washed or newly cleaned parts, and obtain the dirt value 1 of the clean cleaning parts through the dirt degree quantitative evaluation method, and then perform the standardized dirt adsorption process, and obtain the dirt value 2 through the dirt degree quantitative evaluation method. After the cleaning process, obtain the dirt value 3 through the dirt degree quantitative evaluation method. Through the above method, the cleaning rate for the current time can be obtained.

[0056] The present invention provides a method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, by obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning, and the initial dirtiness value of the cleaning component in the cleaning device, and determining the current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, and then determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate. The method can quantitatively evaluate the cleaning effect of the cleaning component of the cleaning device, effectively improving the accuracy and efficiency of judging the cleaning effect of the cleaning component of the cleaning device, thereby improving the user experience.

[0057] The following is a description of the device for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device provided by the present invention. The device for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device described below and the method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device described above can be referenced to each other.

[0058] refer to Figure 2 As shown, it is a schematic diagram of the structure of the cleaning effect quantitative evaluation device for the cleaning component surface of the cleaning device provided by the present invention. The cleaning effect quantitative evaluation device for the cleaning component surface of the cleaning device of the present invention specifically includes the following parts:

[0059] The dirtiness value acquisition unit 201 is used to acquire the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value; wherein the initial dirtiness value is a reference value for quantitative evaluation of the cleaning effect of the cleaning component;

[0060] A cleaning rate determination unit 202 is used to determine the current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device;

[0061] The cleaning result determination unit 203 is configured to determine a cleaning result of a cleaning component in the cleaning device based on the current cleaning rate.

[0062] Furthermore, the cleaning rate determination unit is specifically used for:

[0063] determining a first difference between the actual soiling value and the soiling value before cleaning;

[0064] determining a second difference between the initial soiling value and the soiling value before cleaning;

[0065] A ratio of the first difference to the second difference is determined, and the ratio is determined as a current cleaning rate of the cleaning component after scrubbing.

[0066] Furthermore, the dirt value acquisition unit is used to use a preset standard image shooting environment and equipment to evaluate the dirtiness of the surface of the cleaning device to obtain the actual dirtiness value of the cleaning components in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value.

[0067] Furthermore, the method also includes: determining a cleaning effect of a cleaning component of the cleaning device based on a saturation value of an image corresponding to the cleaning component of the cleaning device.

[0068] Furthermore, after obtaining the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning, and the initial dirtiness value, the method further includes:

[0069] A linear regression model building unit, used to perform linear regression analysis on the obtained sample dirtiness value after cleaning, the sample dirtiness value before cleaning or the sample dirtiness limit value to obtain a corresponding linear regression model; wherein the linear regression model is used to evaluate numerical normalization;

[0070] The cleaning result analysis unit is used to obtain a corresponding linear regression model, and the cleaning device cleaning component obtains a cleaning effect evaluation result within an expected range based on the linear regression model.

[0071] Furthermore, before obtaining the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning device, the method further includes:

[0072] A dirtiness value determination unit is used to obtain an image of a cleaning component in a cleaning device after cleaning, an image before cleaning, and an initial image; based on the image after cleaning, the image before cleaning, and the initial image, a corresponding average saturation value is calculated; and based on the average saturation value, an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of the cleaning component in the cleaning device are determined.

[0073] The cleaning effect quantitative evaluation device for the surface of the cleaning component of the cleaning equipment provided by the present invention obtains the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning equipment, and determines the current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning and the initial dirtiness value, and then determines the cleaning result of the cleaning component in the cleaning equipment based on the current cleaning rate. The method can quantitatively evaluate the cleaning effect of the cleaning component of the cleaning equipment, effectively improves the accuracy and efficiency of judging the cleaning effect of the cleaning component of the cleaning equipment, thereby improving the user experience.

[0074] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor 301, a communication interface 304, a memory 302 and a communication bus 303, wherein the processor 301, the communication interface 304 and the memory 302 communicate with each other through the communication bus 303. The processor 301 may call the logic instructions in the memory 302 to execute a method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device, the method comprising: obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component; based on the actual dirtiness value, the dirtiness value before cleaning and the initial dirtiness value, determining the current cleaning rate of the cleaning component after cleaning; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device; and determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate.

[0075] In addition, the logic instructions in the above-mentioned memory 302 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0076] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device provided by the above-mentioned methods, the method including: obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in the cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component; based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, determining a current cleaning rate of the cleaning component after cleaning; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device; and determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate.

[0077] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of the cleaning device, the method comprising: obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of the cleaning component in the cleaning device; wherein the initial dirtiness value is a reference value for the quantitative evaluation of the cleaning effect of the cleaning component; based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, determining a current cleaning rate of the cleaning component after cleaning; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device; and determining the cleaning result of the cleaning component in the cleaning device based on the current cleaning rate.

[0078] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for quantitatively evaluating the cleaning effect of a cleaning component surface of a cleaning device, characterized in that: include: Obtaining an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component; Based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, determining a current cleaning rate of the cleaning component after cleaning; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device; A cleaning result of a cleaning component in the cleaning device is determined based on the current cleaning rate.

2. The method for quantitatively evaluating the cleaning effect of the surface of the cleaning component of the cleaning equipment according to claim 1, characterized in that: The determining, based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value, of the current cleaning rate of the cleaning component after scrubbing specifically includes: determining a first difference between the actual soiling value and the soiling value before cleaning; determining a second difference between the initial soiling value and the soiling value before cleaning; A ratio of the first difference to the second difference is determined, and the ratio is determined as a current cleaning rate of the cleaning component after scrubbing.

3. The method for quantitatively evaluating the cleaning effect of the surface of the cleaning component of the cleaning equipment according to claim 1, characterized in that: The obtaining of the actual dirtiness value of the cleaning component in the cleaning device after cleaning, the dirtiness value before cleaning and the initial dirtiness value comprises: The dirtiness of the surface of the cleaning equipment is judged using a preset standard image shooting environment and equipment to obtain the actual dirtiness value of the cleaning parts in the cleaning equipment after cleaning, the dirtiness value before cleaning, and the initial dirtiness value.

4. The method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device according to claim 1, characterized in that: Also includes: The cleaning effect of the cleaning component of the cleaning device is determined based on the saturation value of the image corresponding to the cleaning component of the cleaning device.

5. The method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device according to claim 1, characterized in that: After obtaining the actual dirtiness value of the cleaning component after cleaning, the dirtiness value before cleaning and the initial dirtiness value in the cleaning device, the following is further included: Performing linear regression analysis on the obtained sample dirtiness value after cleaning, the sample dirtiness value before cleaning or the sample dirtiness limit value to obtain a corresponding linear regression model; wherein the linear regression model is used to evaluate the normalization of numerical values; After the corresponding linear regression model is obtained, a cleanliness metric that meets the expected range of regression is determined based on the linear regression model.

6. The method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device according to claim 1, characterized in that: Before obtaining the actual dirtiness value of the cleaning component after cleaning, the dirtiness value before cleaning, and the initial dirtiness value in the cleaning device, the method further includes: Acquire an image of a cleaning component in a cleaning device after cleaning, an image before cleaning, and an initial image; Based on the image after cleaning, the image before cleaning and the initial image, the corresponding average saturation value is calculated, and based on the average saturation value, the actual dirtiness value after cleaning, the dirtiness value before cleaning and the initial dirtiness value of the cleaning component in the cleaning device are determined.

7. A device for quantitatively evaluating the cleaning effect of a cleaning component surface of a cleaning device, characterized in that: include: A dirtiness value acquisition unit, used to acquire an actual dirtiness value after cleaning, a dirtiness value before cleaning, and an initial dirtiness value of a cleaning component in a cleaning device; wherein the initial dirtiness value is a reference value for quantitatively evaluating the cleaning effect of the cleaning component; A cleaning rate determination unit, configured to determine a current cleaning rate of the cleaning component after cleaning based on the actual dirtiness value, the dirtiness value before cleaning, and the initial dirtiness value; wherein the current cleaning rate is a quantitative evaluation index of the cleaning effect of the cleaning component in the cleaning device; A cleaning result determination unit is used to determine a cleaning result of a cleaning component in the cleaning device based on the current cleaning rate.

8. The device for quantitatively evaluating the cleaning effect of the surface of the cleaning component of the cleaning equipment according to claim 7, characterized in that: The cleaning rate determination unit is specifically used for: determining a first difference between the actual soiling value and the soiling value before cleaning; determining a second difference between the initial soiling value and the soiling value before cleaning; A ratio of the first difference to the second difference is determined, and the ratio is determined as a current cleaning rate of the cleaning component after scrubbing.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method for quantitatively evaluating the cleaning effect of the surface of the cleaning component of the cleaning device according to any one of claims 1 to 6 are implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for quantitatively evaluating the cleaning effect of the surface of a cleaning component of a cleaning device according to any one of claims 1 to 6 are implemented.

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