Dish-washing machine cleanliness evaluation method, dish-washing machine, device and computer equipment

Abstract

The invention relates to a dishwasher cleanliness evaluation method, a dishwasher device, computer equipment, a storage medium and a computer program product. The method comprises the steps that under the condition that tableware placed in the dish-washing machine is washed, first type residual information collected by a first type collection assembly for the dish-washing machine and second type residual information collected by a second type collection assembly for the tableware are obtained; the first type collection assembly and the second type collection assembly are different types of assemblies arranged in the dish washing machine; identifying the residue of the tableware according to the second type of residue information, and determining the tableware cleanliness of the tableware based on the residue; and determining the washing cleanliness of the dish-washing machine based on the dish-washing machine cleanliness represented by the first type of residual information and the tableware cleanliness. By adopting the method, the accuracy of cleanliness evaluation can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of household appliances, and in particular to a method for evaluating the cleanliness of a dishwasher, a dishwasher, a device, a computer equipment, a storage medium and a computer program product. Background Art

[0002] With the development of household appliance technology, dishwashers have emerged. They can use high-pressure water flow and special detergents to more thoroughly clean stains and grease on tableware, ensuring the hygiene and cleanliness of tableware.

[0003] In order to better evaluate the cleaning process of the dishwasher, the cleanliness of the dishwasher can be tested after the dishwasher finishes washing the dishes, so as to determine the washing effect of the dishwasher, so as to subsequently improve the washing performance of the dishwasher. The traditional supervision method is generally for testers to check the cleanliness of the dishwasher. However, since the testers inevitably have a certain degree of subjectivity in the inspection process, the cleanliness evaluation process of the dishwasher is inaccurate. Summary of the invention

[0004] Based on this, it is necessary to propose a dishwasher cleanliness assessment method, a dishwasher, an apparatus, a computer device, a computer-readable storage medium and a computer program product to address the technical problem that the traditional dishwasher cleanliness assessment process is inaccurate.

[0005] In a first aspect, the present application provides a method for evaluating the cleanliness of a dishwasher. The method comprises:

[0006] When the tableware placed in the dishwasher is washed, first type of residual information collected by the first type collection component for the dishwasher and second type of residual information collected by the second type collection component for the tableware are obtained; the first type collection component and the second type collection component are different types of components arranged in the dishwasher;

[0007] identifying residues of the tableware according to the second type of residue information, and determining tableware cleanliness of the tableware based on the residues;

[0008] The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

[0009] In one of the embodiments, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensing unit and a turbidity sensing unit;

[0010] The obtaining of the first type of residue information collected by the first type collection component for the dishwasher includes:

[0011] Acquiring turbidity information collected from the washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher have been washed and before the washing water in the dishwasher has not flowed out;

[0012] Acquiring humidity information collected from the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed;

[0013] The method further comprises:

[0014] Based on at least one of the turbidity information or the humidity information, a dishwasher cleanliness of the dishwasher is determined.

[0015] In one embodiment, the second type of residual information includes a residual image; and identifying the tableware residue according to the second type of residual information includes:

[0016] Extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features;

[0017] Determining the residue distribution information of the tableware according to the area where the residue corresponding to the residue type is located in the residue image;

[0018] An edge pixel position of the residue is identified in the residue image, and residue size information of the residue is determined according to the edge pixel position.

[0019] In one embodiment, determining the tableware cleanliness of the tableware based on the residue comprises:

[0020] Determining a total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0021] determining a total tableware area of ​​the tableware from the residual image;

[0022] Based on the area ratio of the total area of ​​the residues to the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

[0023] In one embodiment, determining the washing cleanliness of the dishwasher based on the dishwasher cleanliness represented by the first type of residue information and the tableware cleanliness includes:

[0024] Normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain a normalized tableware cleanliness and a normalized dishwasher cleanliness;

[0025] The normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher are statistically analyzed to determine the washing cleanliness degree of the dishwasher.

[0026] In one embodiment, the performing statistical analysis on the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher to determine the washing cleanliness of the dishwasher comprises:

[0027] Determining a linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0028] Determining a nonlinear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0029] The washing cleanliness degree of the dishwasher is determined by combining the linear influencing factor and the nonlinear influencing factor.

[0030] In a second aspect, the present application further provides a dishwasher. The dishwasher comprises: a first type of collection component, a second type of collection component, and a controller; the first type of collection component and the second type of collection component are connected to the controller; the first type of collection component, the second type of collection component, and the controller are all arranged in the dishwasher;

[0031] The first type collection component is used to collect information from the dishwasher to obtain the first type of residual information when the dishes placed in the dishwasher are washed.

[0032] The second type collection component is used to collect information on the tableware after the tableware is washed to obtain the second type of residual information;

[0033] The controller is configured to obtain the first type of residue information and the second type of residue information, identify the residues of the tableware according to the second type of residue information, and determine the tableware cleanliness of the tableware based on the residues;

[0034] The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

[0035] In one of the embodiments, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensing unit and a turbidity sensing unit;

[0036] The turbidity sensor unit is used to collect turbidity information of the washing water in the dishwasher after the dishes placed in the dishwasher are washed and before the washing water in the dishwasher flows out;

[0037] The humidity sensing unit is used to collect humidity information of the dishwasher when the dishes placed in the dishwasher are washed.

[0038] In a third aspect, the present application also provides a dishwasher cleanliness evaluation device. The device comprises:

[0039] An information acquisition module, configured to acquire, when the tableware placed in the dishwasher is washed, first type of residual information collected by the first type acquisition component for the dishwasher and second type of residual information collected by the second type acquisition component for the tableware; the first type acquisition component and the second type acquisition component are different types of components arranged in the dishwasher;

[0040] a tableware cleanliness determination module, configured to identify the residues of the tableware according to the second type of residue information, and determine the tableware cleanliness of the tableware based on the residues;

[0041] The washing cleanliness determination module is used to determine the washing cleanliness of the dishwasher based on the dishwasher cleanliness represented by the first type of residue information and the tableware cleanliness.

[0042] In a fourth aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0043] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the steps of the above method when executed by a processor.

[0044] In a sixth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0045] The above-mentioned dishwasher cleanliness evaluation method, device, computer equipment, storage medium and computer program product, when the tableware placed in the dishwasher is washed, obtains the first type of residual information collected by the first type acquisition component for the dishwasher and the second type of residual information collected by the second type acquisition component for the tableware, and can determine the residual situation of the residue in the dishwasher and the residual situation of the residue on the tableware, and can more comprehensively determine the residual situation after the dishwasher is washed, which is conducive to improving the accuracy of the subsequent washing cleanliness determined based on the residual situation. Further, the residue of the tableware is identified according to the second type of residual information, which can improve the accuracy of the residue identification, and then the tableware cleanliness of the tableware is determined based on the residue, which can further determine the cleanliness of the tableware after the dishwasher is washed, which is conducive to improving the accuracy of the determination of the tableware cleanliness. Finally, based on the dishwasher cleanliness represented by the first type of residual information and the tableware cleanliness, the washing cleanliness of the dishwasher is determined. Since the first type of acquisition component and the second type of acquisition component are different types of components arranged in the dishwasher, it is equivalent to being able to comprehensively evaluate the washing cleanliness of the dishwasher based on the residual information collected by the two types of acquisition components, which is conducive to improving the accuracy of the dishwasher cleanliness evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A diagram showing an application environment of a method for evaluating the cleanliness of a dishwasher in one embodiment;

[0047] Figure 2 is a schematic flow chart of a method for evaluating the cleanliness of a dishwasher in one embodiment;

[0048] Figure 3 A schematic diagram of a flow chart of a step for determining the cleanliness of a dishwasher in one embodiment;

[0049] Figure 4 is a schematic flow chart of a tableware residue identification step in one embodiment;

[0050] Figure 5 It is a schematic flow chart of a step of determining the cleanliness of tableware in one embodiment;

[0051] Figure 6 A schematic diagram of a flow chart of a step for determining the degree of cleanliness of a dishwasher in one embodiment;

[0052] Figure 7 A schematic diagram of a flow chart of a step for determining the degree of cleanliness of a dishwasher in another embodiment;

[0053] Figure 8 is a flow chart of a method for evaluating the cleanliness of a dishwasher in another embodiment;

[0054] Fig. 9A schematic diagram showing how the degree of washing cleanliness varies with humidity data and water drop density data in one embodiment;

[0055] Fig.10 A schematic diagram showing how the degree of washing cleanliness varies with stain data and turbidity data in one embodiment;

[0056] Fig.11 is a flow chart of a method for evaluating the cleanliness of a dishwasher in another embodiment;

[0057] Fig.12 is a schematic diagram of a first type acquisition component in one embodiment;

[0058] Fig.13 is a structural block diagram of a dishwasher cleanliness evaluation device in one embodiment;

[0059] Fig.14 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] The dishwasher cleanliness evaluation method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. The controller 13 communicates with the dishwasher 10, the first type acquisition component 11, and the second type acquisition component 12 through the network. The controller 13 may be a controller deployed in the dishwasher 10. The first type acquisition component 11 and the second type acquisition component 12 are also provided in the dishwasher 10. The first type acquisition component 11 and the second type acquisition component 12 are different types of acquisition components. For example, in the present application, the first type acquisition component 11 may be a humidity sensor unit or a turbidity sensor unit, and the second type acquisition component 12 may be an image acquisition component. Specifically, during the process of evaluating the cleanliness of the dishwasher, the controller 13 obtains the first type of residual information collected by the first type acquisition component 11 for the dishwasher 10 and the second type of residual information collected by the second type acquisition component 12 for the dishes when the dishes placed in the dishwasher 10 are washed; the first type acquisition component 11 and the second type acquisition component 12 are different types of components arranged in the dishwasher 10; the residues of the dishes are identified according to the second type of residual information, and the tableware cleanliness of the dishes is determined based on the residues; the washing cleanliness of the dishwasher 10 is determined based on the dishwasher cleanliness represented by the first type of residual information and the tableware cleanliness.

[0062] In one embodiment, Figure 2 As shown, a method for evaluating the cleanliness of a dishwasher is provided. Figure 1 The controller 13 in the embodiment is used as an example to illustrate, and the following steps are included:

[0063] Step S202, when the dishes placed in the dishwasher are washed, first type residue information collected by the first type collection component on the dishwasher and second type residue information collected by the second type collection component on the dishes are obtained.

[0064] Among them, the dishwasher can use high-pressure water flow and special detergent to more thoroughly clean the stains and grease on the tableware to ensure the hygiene and cleanliness of the tableware. The first type of acquisition component and the second type of acquisition component are different types of components arranged in the dishwasher. For example, in the present application, the first type of acquisition component can be a humidity sensor unit or a turbidity sensor unit, and the second type of acquisition component can be an image acquisition component. The first type of residual information is the information of the residue collected by the first type of acquisition component for the dishwasher, and the second type of residual information is the information of the residue collected by the second type of acquisition component for the tableware.

[0065] Specifically, the dishwasher will wash the dishes placed in the dishwasher. After washing is completed, the first type of residual information collected by the first type collection component for the dishwasher can be obtained to determine the washing condition in the dishwasher, and the second type of residual information collected by the second type collection component for the dishes can be obtained to determine the washing condition on the dishes. In a specific embodiment, the first type of residual information includes humidity information and turbidity information, and the first type of collection component includes a humidity sensor unit and a turbidity sensor unit. Therefore, the controller can obtain the turbidity information collected by the turbidity sensor unit for the washing water that has not flowed out of the dishwasher, and the humidity information collected by the humidity sensor unit for the dishwasher. In another specific embodiment, according to actual conditions, only the turbidity information or humidity information of the washing water that has not flowed out of the dishwasher can be collected.

[0066] Step S204: identifying the residues of the tableware according to the second type of residue information, and determining the tableware cleanliness of the tableware based on the residues.

[0067] The residue refers to the objects left on the tableware after the dishwasher finishes washing the tableware. The residue can be, for example, stains or water stains. The tableware cleanliness can be used to characterize the cleanliness of the tableware.

[0068] Specifically, after obtaining the second type of residue information, the controller can first identify the tableware residue according to the second type of residue information. Since the type and residue situation of the residue are associated with the tableware cleanliness of the tableware, the controller can determine the tableware cleanliness of the tableware according to the residue.

[0069] In a specific embodiment, the second type of residual information includes a residual image. The controller can perform image feature extraction on the residual image, determine the type of residue contained in the residual image based on the extracted residual image features, determine the residue distribution information of the tableware according to the area where the residues corresponding to the residue type are located in the residual image, identify the edge pixel position of the residue in the residual image, and determine the residue size information of the residue based on the edge pixel position.

[0070] In another specific embodiment, a residue recognition model may be pre-established, and the second type of residue information may be input into the residue recognition model, and the output obtained is the residue of the tableware.

[0071] Optionally, the controller can determine the total residue area corresponding to the residue based on the residue distribution information and the residue size information, determine the total tableware area of ​​the tableware from the residue image, and determine the tableware cleanliness of the tableware corresponding to the residue type based on the area ratio of the total residue area and the total tableware area, wherein the tableware cleanliness is inversely correlated with the area ratio.

[0072] Optionally, the controller can also obtain a preset maximum residue area value, and determine the total residue area corresponding to the residue based on the residue distribution information and the residue size information. If the total residue area is greater than the above maximum residue area value, it is considered that the tableware cleanliness of the tableware is low.

[0073] Step S206: determining the washing cleanliness of the dishwasher based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

[0074] The dishwasher cleanliness refers to the cleanliness of the housing corresponding to the dishwasher. The washing cleanliness refers to the overall washing cleanliness of the dishwasher. It can be understood that the washing cleanliness of the dishwasher is determined by the dishwasher cleanliness and the tableware cleanliness.

[0075] Specifically, after determining the tableware cleanliness of the tableware, the controller can evaluate the washing cleanliness of the dishwasher in combination with the dishwasher cleanliness represented by the first type of residue information and the tableware cleanliness.

[0076] In a specific embodiment, the controller can normalize the tableware cleanliness and the dishwasher cleanliness respectively to obtain the normalized tableware cleanliness and the dishwasher cleanliness, perform statistical analysis on the normalized tableware cleanliness and the dishwasher cleanliness, and determine the washing cleanliness of the dishwasher.

[0077] In another specific embodiment, the controller may obtain weights pre-set for the dishwasher and the tableware, respectively, and perform statistical analysis on the cleanliness of the dishwasher and the cleanliness of the tableware based on the weights to further determine the washing cleanliness of the dishwasher.

[0078] In the above-mentioned dishwasher cleanliness evaluation method, when the tableware placed in the dishwasher is washed, the first type of residual information collected by the first type acquisition component for the dishwasher and the second type of residual information collected by the second type acquisition component for the tableware can be obtained, so that the residual situation of the residue in the dishwasher and the residual situation of the residue on the tableware can be determined, and the residual situation after the dishwasher is washed can be determined more comprehensively, which is conducive to improving the accuracy of the subsequent washing cleanliness determined based on the residual situation. Further, the residue of the tableware is identified according to the second type of residual information, which can improve the accuracy of the residue identification, and then the tableware cleanliness of the tableware is determined based on the residue, which can further determine the cleanliness of the tableware after the dishwasher is washed, which is conducive to improving the accuracy of the determination of the tableware cleanliness. Finally, based on the dishwasher cleanliness represented by the first type of residual information and the tableware cleanliness, the washing cleanliness of the dishwasher is determined. Since the first type of acquisition component and the second type of acquisition component are different types of components arranged in the dishwasher, it is equivalent to being able to comprehensively evaluate the washing cleanliness of the dishwasher based on the residual information collected by the two types of acquisition components, which is conducive to improving the accuracy of the dishwasher cleanliness evaluation. In one embodiment, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensor unit and a turbidity sensor unit. In the case of this embodiment, Figure 3 As shown, obtaining the first type of residue information collected by the first type collection component for the dishwasher includes:

[0079] Step S302, obtaining turbidity information collected from the washing water that has not flowed out of the dishwasher;

[0080] Step S304, obtaining humidity information collected for the dishwasher;

[0081] Dishwasher cleanliness assessment methods also include:

[0082] Step S306: determining the dishwasher cleanliness of the dishwasher based on at least one of the turbidity information or the humidity information.

[0083] The turbidity information is collected by the turbidity sensor unit after the dishes placed in the dishwasher are washed and before the washing water in the dishwasher flows out, and can be used to characterize the dirtiness of the washing water in the last washing of the dishwasher, thereby reflecting the washing capacity of the dishwasher. The humidity information is collected by the humidity sensor unit after the dishes placed in the dishwasher are washed, and characterizes the humidity in the dishwasher after the washing is completed, and can be used to characterize the drying capacity of the dishwasher.

[0084] Specifically, the first type of collection component includes a humidity sensing unit and a turbidity sensing unit, which can be used to collect humidity information and turbidity information in the dishwasher, so as to determine the washing condition of the dishwasher, that is, the controller can obtain turbidity information collected for the washing water that has not flowed out of the dishwasher, and obtain humidity information collected for the dishwasher, and determine the dishwasher cleanliness of the dishwasher based on at least one of the turbidity information or the humidity information. That is, the dishwasher cleanliness of the dishwasher can be determined only based on the turbidity information, or only based on the humidity information, or based on the turbidity information and the humidity information.

[0085] In this embodiment, the first type of collection component includes a humidity sensor unit and a turbidity sensor unit, so that the turbidity information and humidity information of the dishwasher can be collected respectively, and the washing condition of the dishwasher can be determined from multiple aspects.

[0086] In one embodiment, the second type of residual information includes a residual image. In the case of this embodiment, Figure 4 As shown, identifying the tableware residue according to the second type of residue information includes:

[0087] Step S402 : extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features.

[0088] Among them, image features refer to various visual attributes or patterns in an image that can be used to identify, distinguish or describe the image content.

[0089] Specifically, the second type of residual information includes a residual image. After acquiring the residual image, the controller needs to perform image feature extraction on the residual image, determine the residual image features in the residual image, and determine the type of residue contained in the residual image based on the residual image features. For example, the type of residue contained in the determined residual image may be stains or water stains or both stains and water stains.

[0090] Step S404, determining the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image.

[0091] The region refers to the region where the residue is located in the residue image, and the approximate position of the residue in the residue image can be determined. The residue distribution information refers to the distribution status of the residue in a specific environment or space.

[0092] Specifically, the controller can determine the distribution information of the residue on the tableware and the distribution status of the residue according to the area where the residue corresponding to the residue type is located in the residual image. For example, if the residue type is a stain, and the area where the stain is located in the residual image is the left side or the right side of the bottom of the tableware, then it can be determined that the residue distribution information corresponding to the stain on the tableware is distributed at the bottom of the tableware.

[0093] Step S406, identifying edge pixel positions of the residue in the residue image, and determining residue size information of the residue according to the edge pixel positions.

[0094] The edge pixel position refers to the coordinate position of the pixel point located at the edge of the object or the boundary between different regions in the residual image. The residue size information refers to the size information of the residue, which can reflect the size of the residue.

[0095] Specifically, after determining the residue type and residue distribution information of the residue, it is also necessary to determine the residue size information of the residue, that is, the edge pixel position of the residue can be first identified in the residual image, and the size of the residue can be calculated according to the edge pixel position to determine the residue size information of the residue.

[0096] In this embodiment, by performing image feature extraction on the residual image, determining the type of residues and the residue distribution information, and then determining the residue size information of the residues based on the edge pixel position of the residues in the residual image, the detailed information of the residues on the tableware can be determined, so as to facilitate the subsequent determination of the cleanliness of the tableware.

[0097] In one embodiment, Figure 5 As shown, the tableware cleanliness of tableware is determined based on the residue, including:

[0098] Step S502, determining the total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0099] Step S504, determining the total tableware area of ​​the tableware from the residual image;

[0100] Step S506: determining the tableware cleanliness of the tableware corresponding to the type of residue based on the area ratio of the total area of ​​the residue to the total area of ​​the tableware.

[0101] The total residue area refers to the total area occupied by the residue in the residue image, which can reflect the residue situation in the tableware and thus determine the cleaning effect of the dishwasher. The cleanliness of the tableware is inversely correlated with the area ratio.

[0102] Specifically, the controller can perform calculations based on the residue distribution information and the residue size information to determine the total residue area of ​​the residue, determine the total tableware area of ​​the tableware from the residue image, and determine the tableware cleanliness of the tableware corresponding to the residue type based on the area ratio of the total residue area and the total tableware area. It can be understood that the larger the area ratio, the more residue there is and the worse the tableware cleanliness. For example, the residue distribution information can be that the residue exists on the left and right sides of the bottom of the tableware, and the residue size information is 1 square centimeter on the left side of the bottom and 0.5 square centimeters on the right side of the bottom, then the total residue area is 1.5 square centimeters.

[0103] In a specific embodiment, there are multiple types of residues. Then, for each residue type, the total residue area corresponding to the residue type can be determined, and the weight corresponding to each residue type can be determined. The residue area corresponding to each residue type is calculated based on the above weights to determine the total residue area. Then, based on the area ratio of the total residue area to the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined.

[0104] In this embodiment, the controller determines the total residue area corresponding to the residues based on the residue distribution information and the residue size information, and determines the tableware cleanliness of the tableware corresponding to the residue type based on the area ratio of the total residue area and the total area of ​​the tableware, thereby ensuring the accuracy of the determination of the tableware cleanliness.

[0105] In one embodiment, Figure 6 As shown, based on the dishwasher cleanliness represented by the first type of residue information and the tableware cleanliness, determining the washing cleanliness of the dishwasher includes:

[0106] Step S602, normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain the normalized tableware cleanliness and the normalized dishwasher cleanliness;

[0107] Step S604: Statistically analyze the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher to determine the washing cleanliness of the dishwasher.

[0108] Among them, the normalized cleanliness of tableware is the cleanliness obtained after the tableware cleanliness is normalized, and the cleanliness of the dishwasher is the cleanliness obtained after the dishwasher cleanliness is normalized.

[0109] Specifically, in order to better balance the impact of tableware cleanliness and dishwasher cleanliness on the washing cleanliness of the dishwasher, the tableware cleanliness and dishwasher cleanliness can be normalized to values ​​in the interval [0, 1]. That is, the maximum tableware cleanliness value and the minimum tableware cleanliness value corresponding to the tableware cleanliness, as well as the maximum and minimum dishwasher cleanliness values ​​corresponding to the dishwasher cleanliness can be obtained. The tableware cleanliness is normalized based on the maximum and minimum tableware cleanliness values ​​to obtain the normalized tableware cleanliness corresponding to the tableware cleanliness, and the dishwasher cleanliness is normalized based on the maximum and minimum dishwasher cleanliness values ​​to obtain the normalized dishwasher cleanliness corresponding to the dishwasher cleanliness. Finally, the normalized tableware cleanliness and the normalized dishwasher cleanliness are statistically analyzed to determine the washing cleanliness of the dishwasher.

[0110] In this embodiment, by normalizing the tableware cleanliness and the dishwasher cleanliness, the effects of the tableware cleanliness and the dishwasher cleanliness on the washing cleanliness of the dishwasher can be better balanced, which is beneficial to improving the accuracy of the dishwasher cleanliness assessment.

[0111] In one embodiment, Figure 7 As shown, statistical analysis is performed on the normalized cleanliness of tableware and the normalized cleanliness of the dishwasher to determine the washing cleanliness of the dishwasher, including:

[0112] Step S702, determining the linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0113] Step S704, determining a nonlinear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0114] Step S706: Determine the washing cleanliness of the dishwasher by combining the linear influencing factor and the nonlinear influencing factor.

[0115] Among them, the linear impact factor refers to the impact factor with a linear impact relationship on the washing cleanliness of the dishwasher, which is determined by the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher. The nonlinear impact factor refers to the impact factor with a nonlinear impact relationship on the washing cleanliness of the dishwasher, which is determined by the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher.

[0116] Specifically, in order to make the obtained washing cleanliness data more reliable, the washing cleanliness of the dishwasher can be determined by combining the influencing factors with a linear influence relationship and the influencing factors with a nonlinear influence relationship for the washing cleanliness of the dishwasher. That is, the linear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher can be determined, and the nonlinear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher can be determined. The washing cleanliness of the dishwasher can be determined by combining the linear influence factors and the nonlinear influence factors.

[0117] In this embodiment, the linear influencing factor that linearly affects the washing cleanliness of the dishwasher and the nonlinear influencing factor that nonlinearly affects the washing cleanliness of the dishwasher are determined based on the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher. This can make the obtained washing cleanliness data more reliable, which is conducive to improving the accuracy of the dishwasher cleanliness assessment.

[0118] In a specific embodiment, Figure 8 As shown, a method for evaluating the cleanliness of a dishwasher is also provided, comprising:

[0119] Step S801, start;

[0120] Step S802, normal washing. The dishwasher washes the dishes normally;

[0121] Step S803, obtaining turbidity data D collected after washing of dishes in the dishwasher is completed and before washing water in the dishwasher flows out;

[0122] The turbidity data D of the last rinse is obtained through the turbidity sensor unit, which is used to preliminarily judge the cleaning effect; wherein the turbidity data D is the turbidity information;

[0123] Step S804, washing is finished and washing water flows out;

[0124] Step S805, obtaining water drop density data W and stain data T on the tableware;

[0125] The water drop density data W and the stain data T are normalized data obtained by processing the image recognition model after the second type of residual information collected by the second type collection component. The types of residues include two types: water droplets and stains.

[0126] Step S806, obtaining humidity data H in the dishwasher;

[0127] The humidity data H in the dishwasher after washing is obtained through the humidity sensing unit; wherein the humidity data H is the cleanliness of the dishwasher represented by the humidity information;

[0128] Step S807, comprehensively analyzing and determining the washing cleanliness of the dishwasher;

[0129] in It is the degree of washing cleanliness of the dishwasher when the residue type is water stains, H is the residual humidity data, and W is the water drop density data. In the interval [0,1], the larger the value, the better the cleaning effect. The drying effects after washing in different washing programs are generally quite different. H and W are relatively dispersed in the interval [0,1]. Therefore, after mathematical processing, The distribution of H and W is relatively even. Fig. 9 As shown, The schematic diagram showing the changes in H and W can more intuitively reflect the cleaning situation inside the dishwasher at that time.

[0130] The turbidity data and stain data are processed (both are in the range of [0,1]). The specific logic is as follows: in is the degree of washing cleanliness of the dishwasher when the residue type is stains, D is the turbidity data, and T is the stain data. In the interval [0,1], the larger the value, the better the cleaning effect. Among them, this treatment can make R2 have a larger gradient when D and T are small. Different washing programs generally have a certain cleaning ability, that is, D and T are basically distributed in the interval [0, 0.5]. Therefore, after mathematical processing, The distribution of D and T has a larger gradient in the range of [0, 0.5] and a smaller gradient in the interval of [0.5, 1]. Fig.10 As shown, The schematic diagram of the changes in D and T can intuitively reflect the cleaning effect after a certain washing, and can also make a clear distinction between different washing results.

[0131] Step S808, end.

[0132] In a specific embodiment, Fig.11 As shown, a method for evaluating the cleanliness of a dishwasher is also provided, comprising:

[0133] Step S1101, when the dishes placed in the dishwasher are washed, obtaining turbidity information collected from the washing water that has not flowed out of the dishwasher and humidity information collected from the dishwasher;

[0134] The turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher are washed and before the washing water in the dishwasher flows out; the humidity information is collected by the humidity sensing unit after the dishes placed in the dishwasher are washed;

[0135] Step S1102, obtaining the second type of residue information collected by the second type collection component on the tableware;

[0136] Wherein, the second type of residual information includes residual images; the first type of acquisition component and the second type of acquisition component are different types of components arranged in the dishwasher;

[0137] Step S1103, determining the dishwasher cleanliness of the dishwasher based on at least one of the turbidity information or the humidity information;

[0138] Step S1104, extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features;

[0139] Step S1105, determining the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image;

[0140] Step S1106, identifying edge pixel positions of the residue in the residue image, and determining residue size information of the residue according to the edge pixel positions;

[0141] Step S1107, determining the total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0142] Step S1108, determining the total tableware area of ​​the tableware from the residual image, and determining the tableware cleanliness of the tableware corresponding to the type of the residual based on the area ratio of the total area of ​​the residual to the total area of ​​the tableware;

[0143] Among them, tableware cleanliness is negatively correlated with area ratio;

[0144] Step S1109, normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain the normalized tableware cleanliness and the normalized dishwasher cleanliness;

[0145] Step S1110, determining the linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0146] Step S1111, determining a nonlinear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0147] Step S1112, combining the linear influencing factor and the nonlinear influencing factor to determine the washing cleanliness of the dishwasher.

[0148] Based on the same inventive concept, Figure 1The embodiment of the present application further provides a dishwasher 10, comprising: a first type collection component 11, a second type collection component 12, and a controller 13; the first type collection component 11 and the second type collection component 12 are connected to the controller 13; the first type collection component 11, the second type collection component 12 and the controller 13 are all arranged in the dishwasher 10;

[0149] The first type collection component 11 is used to collect information from the dishwasher 10 to obtain first type residual information when the dishes placed in the dishwasher 10 are washed.

[0150] The second type collection component 12 is used to collect information about the tableware after the tableware is washed to obtain the second type of residual information;

[0151] A controller 13, configured to obtain first type residue information and second type residue information, identify residues of the tableware according to the second type residue information, and determine tableware cleanliness of the tableware based on the residues;

[0152] The washing cleanliness of the dishwasher 10 is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the dishes.

[0153] The specific implementation of this embodiment has been embodied in the above embodiments and will not be repeated here.

[0154] In one embodiment, the first type of residual information includes humidity information and turbidity information; Fig.12 As shown, the first type collection component 11 includes a humidity sensing unit 111 and a turbidity sensing unit 112 .

[0155] In the case of this embodiment, the turbidity sensor unit 112 is used to collect turbidity information of the washing water in the dishwasher 10 after the dishes placed in the dishwasher 10 are washed and before the washing water in the dishwasher 10 flows out;

[0156] The humidity sensing unit 111 is used to collect humidity information of the dishwasher 10 when the dishes placed in the dishwasher 10 are washed.

[0157] The specific implementation of this embodiment has been embodied in the above embodiments and will not be repeated here.

[0158] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0159] Based on the same inventive concept, the embodiment of the present application also provides a dishwasher cleanliness assessment device for implementing the above-mentioned dishwasher cleanliness assessment method. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above-mentioned method, so the specific limitations in one or more dishwasher cleanliness assessment device embodiments provided below can refer to the above-mentioned limitations on the dishwasher cleanliness assessment method, and will not be repeated here.

[0160] In one embodiment, Fig.13 As shown, a dishwasher cleanliness evaluation device 1300 is provided, comprising: an information acquisition module 1302, a dishware cleanliness determination module 1304 and a washing cleanliness determination module 1306, wherein:

[0161] The information acquisition module 1302 is used to acquire, when the dishes placed in the dishwasher are washed, the first type of residual information collected by the first type collection component for the dishwasher and the second type of residual information collected by the second type collection component for the dishes; the first type collection component and the second type collection component are different types of components arranged in the dishwasher;

[0162] a tableware cleanliness determination module 1304, configured to identify tableware residues according to the second type of residue information, and determine tableware cleanliness of the tableware based on the residues;

[0163] The washing cleanliness determination module 1306 is used to determine the washing cleanliness of the dishwasher based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

[0164] In one embodiment, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensor unit and a turbidity sensor unit. In the case of this embodiment, the information acquisition module 1302 is specifically used to:

[0165] Acquiring turbidity information collected for washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher have been washed and before the washing water in the dishwasher has flowed out;

[0166] Acquiring humidity information collected for the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed;

[0167] The dishwasher cleanliness evaluation device 1300 further includes a dishwasher cleanliness determination module, which is specifically configured to determine the dishwasher cleanliness of the dishwasher based on at least one of the turbidity information or the humidity information.

[0168] In one embodiment, the second type of residual information includes residual images. In this embodiment, the tableware cleanliness determination module 1304 is used to:

[0169] Extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features;

[0170] Determine the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image;

[0171] The edge pixel positions of the residues are identified in the residue image, and the residue size information of the residues is determined according to the edge pixel positions.

[0172] In one embodiment, the tableware cleanliness determination module 1304 is further configured to:

[0173] Determine a total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0174] determining a total tableware area of ​​the tableware from the residual image;

[0175] Based on the area ratio of the total area of ​​the residues and the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

[0176] In one embodiment, the washing cleanliness determination module 1306 includes:

[0177] A normalization submodule, used to normalize the tableware cleanliness and the dishwasher cleanliness respectively, to obtain the normalized tableware cleanliness and the normalized dishwasher cleanliness;

[0178] The statistical analysis submodule is used to perform statistical analysis on the normalized cleanliness of tableware and the normalized cleanliness of the dishwasher to determine the washing cleanliness of the dishwasher.

[0179] In one embodiment, the statistical analysis submodule is specifically used for:

[0180] Determine the linear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0181] Determine the nonlinear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0182] The linear and nonlinear influencing factors are combined to determine the washing cleanliness of the dishwasher.

[0183] Each module in the above-mentioned dishwasher cleanliness evaluation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0184] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.14 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for evaluating the cleanliness of a dishwasher is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0185] Those skilled in the art will understand that Fig.14The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0186] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0187] When the dishes placed in the dishwasher are washed, first type of residual information collected by the first type collection component for the dishwasher and second type of residual information collected by the second type collection component for the dishes are obtained; the first type collection component and the second type collection component are different types of components arranged in the dishwasher;

[0188] identifying residues of the tableware according to the second type of residue information, and determining tableware cleanliness of the tableware based on the residues;

[0189] The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the dishes.

[0190] In one embodiment, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensor unit and a turbidity sensor unit. In the case of this embodiment, the processor further implements the following steps when executing the computer program:

[0191] Acquiring turbidity information collected for washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher have been washed and before the washing water in the dishwasher has flowed out;

[0192] Acquiring humidity information collected for the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed;

[0193] Based on at least one of the turbidity information or the humidity information, a dishwasher cleanliness of the dishwasher is determined.

[0194] In one embodiment, the second type of residual information includes a residual image. In the case of this embodiment, the processor further implements the following steps when executing the computer program:

[0195] Extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features;

[0196] Determine the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image;

[0197] The edge pixel positions of the residues are identified in the residue image, and the residue size information of the residues is determined according to the edge pixel positions.

[0198] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0199] Determine a total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0200] determining a total tableware area of ​​the tableware from the residual image;

[0201] Based on the area ratio of the total area of ​​the residues and the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

[0202] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0203] Normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain the tableware normalized cleanliness and the dishwasher normalized cleanliness;

[0204] The normalized cleanliness of tableware and dishwasher was statistically analyzed to determine the washing cleanliness of the dishwasher.

[0205] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0206] Determine the linear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0207] Determine the nonlinear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0208] The linear and nonlinear influencing factors are combined to determine the washing cleanliness of the dishwasher.

[0209] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0210] When the dishes placed in the dishwasher are washed, first type of residual information collected by the first type collection component for the dishwasher and second type of residual information collected by the second type collection component for the dishes are obtained; the first type collection component and the second type collection component are different types of components arranged in the dishwasher;

[0211] identifying residues of the tableware according to the second type of residue information, and determining tableware cleanliness of the tableware based on the residues;

[0212] The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the dishes.

[0213] In one embodiment, the first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensor unit and a turbidity sensor unit. In the case of this embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0214] Acquiring turbidity information collected for washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher have been washed and before the washing water in the dishwasher has flowed out;

[0215] Acquiring humidity information collected for the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed;

[0216] Based on at least one of the turbidity information or the humidity information, a dishwasher cleanliness of the dishwasher is determined.

[0217] In one embodiment, the second type of residual information includes a residual image. In the case of this embodiment, the computer program further implements the following steps when executed by the processor:

[0218] Extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features;

[0219] Determine the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image;

[0220] The edge pixel positions of the residues are identified in the residue image, and the residue size information of the residues is determined according to the edge pixel positions.

[0221] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining the total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0222] determining a total tableware area of ​​the tableware from the residual image;

[0223] Based on the area ratio of the total area of ​​the residues and the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

[0224] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain the tableware normalized cleanliness and the dishwasher normalized cleanliness;

[0225] The normalized cleanliness of tableware and dishwasher was statistically analyzed to determine the washing cleanliness of the dishwasher.

[0226] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining a linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0227] Determine the nonlinear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0228] The linear and nonlinear influencing factors are combined to determine the washing cleanliness of the dishwasher.

[0229] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0230] When the dishes placed in the dishwasher are washed, first type of residual information collected by the first type collection component for the dishwasher and second type of residual information collected by the second type collection component for the dishes are obtained; the first type collection component and the second type collection component are different types of components arranged in the dishwasher;

[0231] identifying residues of the tableware according to the second type of residue information, and determining tableware cleanliness of the tableware based on the residues;

[0232] The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the dishes.

[0233] In one embodiment, the first type of residual information includes humidity information and turbidity information; the first type of collection component includes a humidity sensor unit and a turbidity sensor unit. In the case of this embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining turbidity information collected for the washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensor unit after the dishes placed in the dishwasher are washed and before the washing water in the dishwasher flows out;

[0234] Acquiring humidity information collected for the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed;

[0235] Based on at least one of the turbidity information or the humidity information, a dishwasher cleanliness of the dishwasher is determined.

[0236] In one embodiment, the second type of residual information includes a residual image. In the case of this embodiment, when the computer program is executed by the processor, the following steps are also implemented: extracting image features for the residual image, and determining the type of residue contained in the residual image based on the extracted residual image features;

[0237] Determine the distribution information of the tableware residues according to the area where the residues corresponding to the residue types are located in the residue image;

[0238] The edge pixel positions of the residues are identified in the residue image, and the residue size information of the residues is determined according to the edge pixel positions.

[0239] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining the total residue area corresponding to the residue based on the residue distribution information and the residue size information;

[0240] determining a total tableware area of ​​the tableware from the residual image;

[0241] Based on the area ratio of the total area of ​​the residues and the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

[0242] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain the tableware normalized cleanliness and the dishwasher normalized cleanliness;

[0243] The normalized cleanliness of tableware and dishwasher was statistically analyzed to determine the washing cleanliness of the dishwasher.

[0244] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining a linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher;

[0245] Determine the nonlinear influence factors of the normalized cleanliness of tableware and the normalized cleanliness of dishwasher on the washing cleanliness of dishwasher;

[0246] The linear and nonlinear influencing factors are combined to determine the washing cleanliness of the dishwasher.

[0247] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0248] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0249] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0250] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating the cleanliness of a dishwasher, characterized in that: The method comprises: When the tableware placed in the dishwasher is washed, first type of residual information collected by the first type collection component for the dishwasher and second type of residual information collected by the second type collection component for the tableware are obtained; the first type collection component and the second type collection component are different types of components arranged in the dishwasher; identifying residues of the tableware according to the second type of residue information, and determining tableware cleanliness of the tableware based on the residues; The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

2. The method according to claim 1, characterized in that: The first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensing unit and a turbidity sensing unit; The obtaining of the first type of residue information collected by the first type collection component for the dishwasher includes: Acquiring turbidity information collected from the washing water that has not flowed out of the dishwasher; the turbidity information is collected by the turbidity sensing unit after the dishes placed in the dishwasher have been washed and before the washing water in the dishwasher has not flowed out; Acquiring humidity information collected from the dishwasher; the humidity information is collected by the humidity sensing unit when the dishes placed in the dishwasher are washed; The method further comprises: Based on at least one of the turbidity information or the humidity information, a dishwasher cleanliness of the dishwasher is determined.

3. The method according to claim 1, characterized in that The second type of residual information includes a residual image; and identifying the tableware residue according to the second type of residual information includes: Extracting image features from the residual image, and determining the type of residues contained in the residual image based on the extracted residual image features; Determining the residue distribution information of the tableware according to the area where the residue corresponding to the residue type is located in the residue image; An edge pixel position of the residue is identified in the residue image, and residue size information of the residue is determined according to the edge pixel position.

4. The method according to claim 3, characterized in that The step of determining the tableware cleanliness of the tableware based on the residue comprises: Determining a total residue area corresponding to the residue based on the residue distribution information and the residue size information; determining a total tableware area of ​​the tableware from the residual image; Based on the area ratio of the total area of ​​the residues to the total area of ​​the tableware, the tableware cleanliness of the tableware corresponding to the residue type is determined; the tableware cleanliness is inversely correlated with the area ratio.

5. The method according to claim 1, characterized in that The determining the washing cleanliness of the dishwasher based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware includes: Normalizing the tableware cleanliness and the dishwasher cleanliness respectively to obtain a normalized tableware cleanliness and a normalized dishwasher cleanliness; The normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher are statistically analyzed to determine the washing cleanliness degree of the dishwasher.

6. The method according to claim 5, characterized in that The statistical analysis of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher to determine the washing cleanliness of the dishwasher includes: Determining a linear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher; Determining a nonlinear influence factor of the normalized cleanliness of the tableware and the normalized cleanliness of the dishwasher on the washing cleanliness of the dishwasher; The washing cleanliness degree of the dishwasher is determined by combining the linear influencing factor and the nonlinear influencing factor.

7. A dishwasher, characterized in that: The dishwasher comprises: a first type of collection component, a second type of collection component, and a controller; the first type of collection component and the second type of collection component are connected to the controller; the first type of collection component, the second type of collection component and the controller are all arranged in the dishwasher; The first type collection component is used to collect information from the dishwasher to obtain the first type of residual information when the dishes placed in the dishwasher are washed. The second type collection component is used to collect information on the tableware after the tableware is washed to obtain the second type of residual information; The controller is configured to obtain the first type of residue information and the second type of residue information, identify the residues of the tableware according to the second type of residue information, and determine the tableware cleanliness of the tableware based on the residues; The washing cleanliness of the dishwasher is determined based on the cleanliness of the dishwasher represented by the first type of residue information and the cleanliness of the tableware.

8. The dishwasher according to claim 7, characterized in that The first type of residual information includes humidity information and turbidity information; the first type of acquisition component includes a humidity sensing unit and a turbidity sensing unit; The turbidity sensor unit is used to collect turbidity information of the washing water in the dishwasher after the dishes placed in the dishwasher are washed and before the washing water in the dishwasher flows out; The humidity sensing unit is used to collect humidity information of the dishwasher when the dishes placed in the dishwasher are washed.

9. A dishwasher cleanliness evaluation device, characterized in that: The device comprises: An information acquisition module, configured to acquire, when the tableware placed in the dishwasher is washed, first type of residual information collected by the first type acquisition component for the dishwasher and second type of residual information collected by the second type acquisition component for the tableware; the first type acquisition component and the second type acquisition component are different types of components arranged in the dishwasher; a tableware cleanliness determination module, configured to identify the residues of the tableware according to the second type of residue information, and determine the tableware cleanliness of the tableware based on the residues; The washing cleanliness determination module is used to determine the washing cleanliness of the dishwasher based on the dishwasher cleanliness represented by the first type of residue information and the tableware cleanliness.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

11. A 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 according to any one of claims 1 to 6 are implemented.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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