Clothing handling equipment and its control methods, control systems and storage media

Abstract

This invention relates to the field of clothing processing equipment technology, specifically providing a clothing processing device and its control method, control system, and storage medium, aiming to solve the problem of existing washing machines issuing erroneous warnings regarding color staining. The control method of this invention includes: determining the color information of the clothing to be washed; when the color information includes both dark and light colors, comparing the color information of the clothing to be washed with a color library; and, at least based on the comparison result, determining whether a color staining warning prohibiting mixed washing should be issued; wherein the color library includes multiple preset color units, each preset color unit includes multiple color information, allowing clothing belonging to the same preset color unit to be washed together. The control method of this invention can improve the accuracy of warning judgment, reduce interference to users, and effectively improve the user experience.

Description

Technical Field

[0001] This invention relates to the field of clothing processing equipment technology, and specifically provides a clothing processing device and its control method, control system and storage medium. Background Technology

[0002] With the increasing popularity of large-capacity, multi-functional washing machines, the types and quantities of clothes that washing machines can wash are increasing, which in turn increases the risk of color bleeding between clothes.

[0003] To reduce the risk of clothing staining during washing, patent application number 201610334940.3 provides a method for identifying the color of clothes inside a washing machine. The method includes the following steps: acquiring image information of clothes inside the washing machine; preprocessing the image information and segmenting the preprocessed image information into image regions; calculating the mean grayscale value and area of ​​each segmented image region, and determining whether there is a risk of staining based on the mean grayscale value and area of ​​each image region. This patent application's technical solution obtains the mean grayscale value and area of ​​each segmented image region through processing, determines whether there is a risk of staining based on the mean grayscale value and area of ​​each image region, and issues a staining warning for cases with a high risk of staining. While this technical solution can reduce the risk of staining to some extent, users have found that sometimes staining warnings are issued even when clothes can be washed normally, causing inconvenience and reducing the user experience. Summary of the Invention

[0004] The present invention aims to solve or at least alleviate the above-mentioned technical problems, namely, to solve the problem that existing washing machines are prone to issuing false warnings for coloring issues.

[0005] In a first aspect, the present invention provides a control method for a garment processing device, the control method comprising:

[0006] Determine the color information of the clothes to be washed; if the color information includes both dark and light colors, compare the color information of the clothes to be washed with a color library; based at least on the comparison result, determine whether a color staining warning that does not allow mixed washing should be issued; wherein, the color library includes multiple preset color units, each preset color unit includes multiple color information, and allows clothes to be washed belonging to the same preset color unit to be mixed.

[0007] The control method for a garment processing device provided by this invention, when the determined color information of the garments to be washed contains both dark and light colors, further compares the determined color information with a preset color library. This color library includes multiple preset color units, each containing multiple color information. The characteristics of the colors contained in each preset color unit have a certain correlation, indicating that garments with these colors will not cause staining problems even if mixed washing, or even if staining occurs, the impact on the garments is negligible. In such cases, the garment processing device does not need to issue a staining warning to the user before executing the washing program. The user can confidently mix and wash the garments, thus improving washing efficiency, saving water resources, and reducing interference with the user's washing operation while ensuring no staining occurs. For the garment processing device, this narrows the scope of scenarios requiring warnings, improves the accuracy of warning judgments, and establishes a garment mixing rule, effectively enhancing the user experience.

[0008] In this invention, color information is information that can at least characterize the hue, brightness, saturation and their combination of the color of clothing. It can be color name, color value, etc., and the color name and color value have a preset mapping relationship.

[0009] Furthermore, there are multiple ways to determine the color information of clothing to be washed. For example, color information can be obtained using image processing technology; color information can be obtained using a color sensor; or the color information of clothing can be obtained by directly identifying a tag that pre-stores the color information of the clothing, such as by reading an electronic tag (RFID tag). For example, taking the determination of the color name of clothing using image processing technology as an example, after determining the color value of the clothing using image processing technology, the determined color value is compared with a preset color value in a color library. Since the preset color value and color name have a preset mapping relationship, the corresponding color name can be indirectly obtained based on the comparison result. It should be noted that a piece of clothing can correspond to multiple color names simultaneously, because clothing can have multiple different colors at the same time. The color values ​​in this invention correspond to the RGB color space.

[0010] In this invention, the criteria for distinguishing between dark and light colors are pre-defined. For example, dark and light colors are distinguished by pre-defined color values. The pre-defined color values ​​can be a specific value, a number of specific color values, or a range formed by a combination of these color values. This is because, for the RGB color space, there are multiple variables in the feature vector representing color, and the accuracy of the results can be improved by adding a comparison benchmark.

[0011] Regarding the color library, it contains multiple preset color units, each including various colors, encompassing both dark and light shades. However, the dark and light colors share similar characteristics, such as similar hues. For example, one preset color unit might contain names like dark green, green, light green, and blue-green, while another might contain names like dark red, red, light red, pink, and light pink. During the stage of determining the color information of the clothes to be washed, the acquired color information can be compared one by one with each color information in each preset color unit to determine the corresponding color name. It is understandable that the color information used as a comparison object in determining the color name of the clothes can also be independent of each preset color unit; for example, all color names can be compared as a single comparison unit.

[0012] In addition, determining whether a staining warning needs to be issued can also be based on other characteristics of the clothing, such as the material characteristics of the clothing, the quantity of clothing, and so on.

[0013] In some feasible implementations of the control method for the aforementioned clothing processing equipment, the step of "comparing the color information of the clothes to be washed with a color library" includes:

[0014] Select the current preset color unit from the preset color units in the color library; compare the color information of the clothes to be washed with the color information of the current preset color unit.

[0015] The purpose of selecting the current preset color unit from the preset color units in the color library is to narrow the comparison range, reduce the amount of computation, speed up data processing, and thus improve the efficiency of determining whether an alert needs to be issued. The current preset color unit is one or more of the multiple preset color units in the color library. For example, the same color name can appear in different preset color units at the same time. This is because, referring to the color display method of the 12-hue wheel, yellow can be combined with red to produce yellow-orange, orange, red-orange, etc., and yellow can also be combined with blue to produce yellow-green, green, blue-green, etc. Therefore, for yellow, it can be combined with different colors to develop in different hue directions. Thus, for some colors, the same color can belong to different preset color units. The specific color arrangement rules are derived from several experimental tests.

[0016] Furthermore, there are several ways to determine the current preset color unit. For example, at least one preset color unit can be determined based on one of the color information of the clothes to be washed. Then, based on another color information of the clothes to be washed, the current preset color unit can be determined from the initially selected preset color units. Of course, the initially selected preset color units can be one or more. This method first classifies the color information of the clothes, such as into dark and light colors. One color name from the dark category is compared with each color information in the preset color units, and the preset color units containing that color name are filtered out. Then, another color name from the dark category (when there are multiple color names in the dark category) is further compared with the filtered preset color units, or a color name from the light category is further compared with the filtered preset color units. In this way, the current preset color unit can be determined.

[0017] In some feasible implementations of the control method for the aforementioned garment processing equipment, the step of "selecting the current preset color unit from the preset color units of the color library" includes:

[0018] At least one preset color unit is determined based on one of the color information of the clothes to be washed; and a current preset color unit is determined from the at least one preset color unit based on another of the color information of the clothes to be washed.

[0019] This provides a method for determining the current preset color unit when clothing contains two or more colors. Specifically, at least one preset color unit is determined using one of the color information of the clothing to be washed. Then, based on the other color information of the clothing to be washed, the current preset color unit is determined from the at least one preset color unit. This can quickly narrow down the range of color information comparison and improve the efficiency of early warning judgment. It is understandable that before selecting the color information to be compared, the color information can be classified based on its lightness / darkness characteristics, such as into dark and light categories. The dark category can contain at least one color, and the light category can contain at least one color. When "one of the color information" is a color from the dark category, then "the other color information" can be either another color from the dark category or a color from the light category.

[0020] In some feasible implementations of the control method for the aforementioned garment processing equipment, the step of "selecting the current preset color unit from the preset color units of the color library" includes:

[0021] At least one preset color unit is determined based on the dark color information of the clothes to be washed; the current preset color unit is determined based on the light color information of the clothes to be washed.

[0022] This provides a specific implementation method for determining the current preset color unit. At least one preset color unit is determined based on the dark-colored information among the color information of the clothes to be washed. Then, the current preset color unit is determined based on the light-colored information among the color information of the clothes to be washed. That is, the current preset color unit is determined using two colors with significant feature differences (dark and light colors) (e.g., using one color from the dark category and one color from the light category). Compared to methods that use colors with small feature differences (e.g., using two different colors from the dark category), this method can more accurately select the current preset color unit, thereby improving the efficiency of early warning judgment. This is because when one color from the light category used for comparison fails to match any color in the initially selected preset color unit, no further comparison is needed, and the result of not being able to mix colors can be directly concluded. In this case, the initially selected preset color unit becomes the current preset color unit.

[0023] In some feasible implementations of the control method for the above-mentioned clothing processing equipment, the color information includes at least the color name.

[0024] It is understandable that color information can also include color values, color spaces, etc.

[0025] In some feasible implementations of the control method for the aforementioned clothing processing equipment, the "determining the color information of the clothing to be washed" includes:

[0026] Acquire an image containing the clothes to be washed; segment the image into multiple sub-image regions; determine the color information of the clothes to be washed based on the color information of the multiple sub-image regions.

[0027] This provides a specific implementation method for determining the color information of clothes to be washed. By segmenting an image containing the clothes to be washed into multiple sub-image regions, and determining the color information of the clothes to be washed based on the color information of the multiple sub-image regions, the accuracy of the obtained color information can be improved.

[0028] It is understandable that images of clothing can be acquired through an image acquisition device configured in the clothing processing unit. This image acquisition device can acquire images of a single garment or, in cases where multiple garments are mixed together, images of multiple garments in their static state. For example, a user can insert one garment at a time, inserting multiple garments sequentially, with the image acquisition device acquiring an image after each insertion until the insertion is complete. The acquired images are then processed. In this scenario, segmenting a single image to obtain the garment's color name yields higher accuracy and effectively reduces the impact of uneven lighting, shadows, and other factors on color judgment. Alternatively, when a user inserts multiple garments at once, images of the mixed garments can be acquired. After image acquisition, to better correspond to the actual placement of the garments in the clothing processing unit, preprocessing can be performed before segmenting the image, such as removing image regions that do not contain garments, or parts of the image that are part of the garment's background.

[0029] After acquiring an image, there are various methods for image segmentation. For example, the image region can be uniformly divided into multiple sub-image regions, or regions with special significance representing different parts of the image can be segmented to ensure that the segmented regions meet the condition of region consistency and are mutually exclusive. For instance, the OTSU algorithm (Maximum Inter-Class Variance) is a commonly used algorithm. Its threshold is automatically selected, and it has relatively little impact on image brightness and contrast fluctuations. Therefore, one-dimensional or two-dimensional OTSU algorithms can be used for image segmentation. Since the OTSU algorithm is existing technology, it will not be described in detail in this invention.

[0030] It is understandable that the finer the image segmentation is theoretically, the better, that is, the more sub-image regions are divided, the better. However, considering the difficulty of data processing, the number of image regions in this invention is preferably less than 100, for example, divided into 50 sub-regions.

[0031] Furthermore, the color information of each sub-image region can be obtained through clustering algorithms. For example, the k-means clustering algorithm is an iterative clustering analysis algorithm. Its steps are: first, divide the data into K groups; then, randomly select K objects as initial cluster centers; then calculate the distance between each object and each seed cluster center; and assign each object to the nearest cluster center. The cluster centers and the objects assigned to them represent a cluster. In this invention, the image region is first divided into multiple sub-image regions. For each sub-image region, the k-means clustering algorithm is used to calculate the corresponding color value (RGB value). Then, the calculated color values ​​of each sub-image region are compared with the color values ​​in the color library to determine the color name corresponding to each sub-image region.

[0032] In some feasible implementations of the control method for the aforementioned garment processing equipment, the phrase "determining whether a dyeing warning that does not allow mixed washing needs to be issued, at least based on the comparison results" includes:

[0033] Obtain the material information of the clothes to be washed; based on the comparison results and the material information, determine whether a color-changing warning that does not allow mixed washing should be issued.

[0034] By obtaining further information about the material of the clothing, and determining whether a color and material information-based warning of dyeing should be issued, the accuracy of the warning judgment can be further improved.

[0035] Understandably, the material information of clothing can be obtained by identifying the electronic tags on the clothing; or by using image processing technology to identify the texture of the clothing and then determine its material, and so on.

[0036] It should be noted that the acquisition of clothing material information can be carried out simultaneously with the determination of color information, or it can be done before or after the determination of color information.

[0037] In a second aspect, the present invention also provides a control system for a garment processing device, the control system including a control module for executing the control method of the garment processing device described in any of the foregoing technical solutions.

[0038] In a third aspect, the present invention also provides a computer-readable storage medium adapted to store a plurality of program codes, the program codes being adapted to be loaded and run by a processor to perform the control method of the clothing processing device described in any of the foregoing technical solutions.

[0039] In a fourth aspect, the present invention also provides a garment processing device, the garment processing device including a memory and a processor, the memory being adapted to store a plurality of program codes, the program codes being adapted to be loaded and run by the processor to perform the control method of the garment processing device described in any of the foregoing technical solutions.

[0040] Those skilled in the art will understand that, since the aforementioned garment processing equipment, control system, and computer-readable storage medium are equipped with related software and hardware capable of executing the aforementioned control method, they possess all the technical effects that the aforementioned control method can achieve, and will not be elaborated further here. Attached Figure Description

[0041] The preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which:

[0042] Figure 1 This is a control flowchart of a washing machine provided in Embodiment 1 of the present invention;

[0043] Figure 2 This is a control flowchart of a washing machine provided in Embodiment 2 of the present invention. Detailed Implementation

[0044] First, it should be noted that the following embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. For example, although the following embodiments are explained in conjunction with a drum washing machine, this is not restrictive. The technical solution of the present invention is also applicable to pulsator washer-dryer combos, pulsator washing machines, drum washer-dryer combos, etc. This change in application does not deviate from the principles and scope of the present invention.

[0045] Secondly, to better illustrate the present invention, numerous specific details are set forth in the following detailed embodiments. Those skilled in the art should understand that the present invention can be practiced even without certain specific details.

[0046] In the description of this invention, terms such as "upper," "lower," "inner," "outer," "top," and "bottom," which indicate direction or positional relationships, are based on the actual direction or positional relationships in practical applications. This is merely for ease of description and does not indicate or imply that the device to be protected must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0047] This invention uses a drum washing machine as an example for illustration. First, the structure of the washing machine is described: The washing machine includes a cabinet, inside which are an inner drum and an outer drum, the inner drum being rotatably mounted on the outer drum. A door and an observation window are located near the drum opening on the cabinet. An image acquisition device is located near the top of the observation window on the door. This image acquisition device includes a light source, a camera, etc. The camera can acquire images of the inner drum with the assistance of the light source. It should be noted that in this embodiment of the invention, the image acquisition device acquires images of the clothes in a stationary state after the user simultaneously inserts one or more items of clothing into the drum.

[0048] The following is a reference to the appendix. Figure 1 Embodiment 1 of the present invention will be described.

[0049] like Figure 1 As shown, the washing machine control method provided in Embodiment 1 of the present invention includes the following steps:

[0050] S10. Determine the color information of the clothes to be washed.

[0051] In this embodiment, the color information includes color names, which have a preset mapping relationship with RGB color values. The color names are stored in a color library, for example, in the form of a data table, and each color name corresponds to one or more color values.

[0052] In this embodiment, the steps for obtaining the color name of the clothing include:

[0053] S101. Obtain an image containing the clothes to be washed.

[0054] Specifically, the washing machine acquires images of the clothes to be washed using its image acquisition device. After the image is captured by the camera of the image acquisition device, the image is first preprocessed to remove background areas (areas without clothes in the image), such as by cutting out the background. This allows the preprocessed image to better match the outline of the clothes to be washed, thereby reducing the impact of the background on color recognition.

[0055] S102. Divide the image into multiple sub-image regions.

[0056] Specifically, in this embodiment, the image is segmented using a grid method, resulting in relatively uniform sub-image regions. For example, the image may be divided into 50 sub-image regions based on its aspect ratio. Alternatively, a fixed-size movable window (a window in image processing technology) can be pre-defined, and image region segmentation can be achieved by moving the window across the entire image. Image region segmentation is a relatively mature existing technology; for example, the OTSU algorithm can be used for image segmentation, which will not be detailed here.

[0057] S103. Determine the color information of the clothes to be washed based on the color information of multiple sub-image regions.

[0058] Specifically, after dividing the image into multiple sub-image regions, a clustering algorithm, such as k-means clustering, is used to calculate the color value corresponding to each sub-image region. Then, the calculated color values ​​are compared with color values ​​in a color library for similarity assessment. The color name corresponding to the color value with the highest similarity is determined as the color name of that sub-image region. The similarity assessment is achieved by calculating the Euclidean distance between color values. Color values ​​are represented by vectors; that is, RGB color values ​​are also RGB vectors. By performing Euclidean distance calculations on the RGB vector corresponding to each sub-image region and the RGB vectors in the color library one by one, the color name corresponding to the RGB vector with the smallest distance is used as the color name of that sub-image region.

[0059] It's understandable that within a number of sub-image regions, there's a very high probability that multiple sub-image regions will have the same color name. For example, in 50 sub-image regions, if 30 are dark blue, 15 are light blue, and 5 are blue, then the final determined color name of the clothing will consist of dark blue + blue + light blue. Therefore, the color name of clothing doesn't just correspond to one color name; it can also correspond to multiple color names simultaneously.

[0060] Furthermore, if the frequency of color name repetition is less than the preset value, such as if the color name appears less than twice, it indicates that the color accounts for a very small proportion of the total color of the clothing. In this case, the color name can be removed in the subsequent color name determination process.

[0061] S20. When the color information includes both dark and light colors, compare the color information of the clothes to be washed with the color library.

[0062] Understandably, the color names of clothing can be categorized during the color name determination process. This is achieved by pre-categorizing the color names in a color library. The color names in the color library are pre-divided into dark and light categories. When determining the color name by calculating the Euclidean distance, the category of the clothing's color name can be determined simultaneously.

[0063] In this step, comparing the color information of the clothes to be washed with the color library means comparing the color name used to represent the clothes to be washed with the color name in each preset color unit in the color library.

[0064] Specifically, this step includes the following detailed steps:

[0065] S201. Select the current preset color unit from the preset color units in the color library.

[0066] In this embodiment, the preset color unit refers to multiple preset color units formed by classifying and combining all color names in the color library in a specific way. Each color unit contains several color names with similar characteristics. For example, this embodiment provides eight major categories of color names: white, black, red, yellow, blue, green, orange, and purple. That is, the color library includes eight preset color units, and each major category of color names contains several specific color names. For example, the blue unit includes multiple color names such as dark blue, blue, and light blue; the yellow unit includes multiple color names such as golden yellow, light yellow, bright yellow, and yellow-green; the white unit includes multiple color names such as milky white and bright white; the green unit includes multiple color names such as dark green, grass green, and light green; the black unit includes multiple color names such as black, dark gray, and light gray; and so on. It can be understood that because some colors have similar color differences, the same color name can belong to different color units. For example, red can be classified into the same category as purple, or it can be classified into the same category as orange.

[0067] The following provides a method for selecting the current preset color unit when there are more than two clothing color names.

[0068] S2011. Determine at least one preset color unit based on the color information of the dark-colored clothes to be washed.

[0069] S2012. Determine the current preset color unit based on the light-colored information in the color information of the clothes to be washed.

[0070] Specifically, taking clothing colors of dark blue, blue, and light blue as an example, during the color classification stage, dark blue and blue are categorized into the dark color category, and light blue is categorized into the light color category. Within the preset color units, dark blue belongs to both the blue and black units. In the initial selection process, firstly, based on dark blue, the blue and black units are selected from the eight preset color units in the color library. Then, based on light blue, the blue unit is filtered out from the blue and black units. Therefore, the blue unit is the current preset color unit. It can be understood that when the clothing color contains only two colors, the current preset color unit can be obtained in a single filtering step.

[0071] S202. Compare the color information of the clothes to be washed with the color information of the current preset color unit.

[0072] Specifically, the color values ​​corresponding to dark blue, blue, and light blue are compared one by one with the color values ​​in the selected blue unit to obtain the comparison results.

[0073] S30. At least based on the comparison results, determine whether a staining warning that does not allow mixed washing should be issued.

[0074] Specifically, after comparison, it was found that the colors in the existing clothes are all contained in the blue unit. Since the hues of the various colors in the blue unit are similar, even if the dark blue and blue have slight fading, it will not have much impact on the light blue clothes. Therefore, they can be washed together. Thus, there is no need to issue a stain warning to the user when the clothes contain both dark and light colors at the same time. That is, it is allowed to wash clothes belonging to the same preset color unit together.

[0075] Thus, even though the clothing contains both dark and light-colored garments, the control logic provided by this invention can effectively improve the accuracy of early warning judgments.

[0076] Example 2

[0077] The difference between this embodiment and embodiment 1 is that this embodiment combines the material and color of the clothing to determine whether a dyeing warning that does not allow mixed washing should be issued. Compared with embodiment 1, this can further improve the accuracy of the warning judgment and enhance the user experience.

[0078] Those skilled in the art will understand that the material of clothing has a significant impact on whether it will be stained or faded. For example, cotton clothing has a relatively high probability of being stained and fading, while polyester fabrics used to make sun-protective clothing have a very low probability of being stained and fading. Therefore, even if black polyester clothing is washed with white polyester clothing, the probability of staining is relatively small. Therefore, this embodiment, based on Embodiment 1, further incorporates the material of the clothing for judgment to further improve the accuracy of the early warning judgment.

[0079] Specifically, refer to Figure 2 As shown, the control method in this embodiment includes the following steps:

[0080] T10. Obtain the material information of the clothes to be washed.

[0081] Specifically, in this embodiment, the material information of the clothing is obtained by reading the electronic tag attached to the clothing, such as an RFID tag.

[0082] T20. Determine the color information of the clothes to be washed.

[0083] The specific methods and steps for determining the color information of clothing are described in step S10 and will not be detailed here.

[0084] T30. When the color information includes both dark and light colors, compare the color information of the clothes to be washed with the color library.

[0085] The specific methods and steps are described in step S20 and will not be detailed here.

[0086] T40. Based on the comparison results and material information, determine whether a dyeing warning that does not allow mixed washing should be issued.

[0087] Specifically, after obtaining the comparison results, the acquired material information is compared with the preset material information in the material library to determine whether there are materials that are prone to fading or staining. Once it is determined that there are materials that are prone to fading or staining, further judgment is made based on the corresponding material colors. Taking dark blue and light pink clothing colors as an example, a staining warning should be issued after judgment using the method in Example 1. However, if the dark blue clothing is made of pure cotton and the light pink clothing is made of polyester fiber, it indicates that even if the dark blue clothing fades, it will not affect the light pink clothing, and they can be washed together. In this case, a conclusion will be given that no warning is needed. For example, if both the dark blue and light pink clothing are made of pure cotton, it indicates a risk of staining, and a staining warning will be issued. If both the dark blue and light pink clothing are made of polyester fiber, no warning will be issued.

[0088] It is evident that combining information about the material of clothing can further improve the accuracy of early warning judgments.

[0089] It should be noted that the color classifications, color names, etc. in the above embodiments are merely exemplary and are intended to better understand the present invention. Therefore, the data, color names, etc. presented in the above examples should not constitute a limitation on the scope of protection of the present invention.

[0090] Furthermore, it is understandable that the process of obtaining clothing material information can take place before, during, or after the comparison of color information.

[0091] This invention also provides a garment processing device, which includes a memory and a processor. The memory is adapted to store multiple program codes, which are adapted to be loaded and run by the processor to execute the control method of the garment processing device in the foregoing embodiments.

[0092] This invention also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the control method of the clothing processing device in the foregoing embodiments.

[0093] Finally, this embodiment of the invention also provides a control system for a garment processing device, the control system including a control module for executing the control method of the garment processing device in the foregoing embodiments.

[0094] In the description of this invention, "module" and "processor" can include hardware, software, or a combination of both. A module may include hardware circuitry, various suitable sensors, communication ports, and memory, and may also include software components, such as program code, or a combination of software and hardware. A processor may be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and / or signal processing capabilities. The processor may be implemented in software, in hardware, or a combination of both. Non-transitory computer-readable storage media include any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc.

[0095] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable storage medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0096] Furthermore, it should be understood that since the control module is only used to illustrate the functional units of the system of the present invention, the physical device corresponding to the control module can be the processor itself, or a part of the processor's software, hardware, or a combination of software and hardware. Therefore, the number of control modules can be configured as needed.

[0097] Those skilled in the art will understand that the control module can be adaptively split. Specific splitting of the control module will not cause the technical solution to deviate from the principles of the present invention; therefore, the technical solutions after splitting will all fall within the protection scope of the present invention.

[0098] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A control method for a garment processing device, characterized in that, The control method includes: Determine the color information of the clothes to be washed; In cases where the color information includes both dark and light colors, the color information of the clothes to be washed is compared with the color library; At least based on the comparison results, determine whether a staining warning that does not allow mixed washing should be issued; The color library includes multiple preset color units, each preset color unit includes multiple color information, allowing clothes belonging to the same preset color unit to be washed together. The phrase "comparing the color information of the clothes to be washed with the color library" includes: At least one preset color unit is determined based on the color information of the dark-colored clothes to be washed; The current preset color unit is determined based on the light-colored information in the color information of the clothes to be washed; The color information of the clothes to be washed is compared with the color information of the current preset color unit.

2. The control method for the garment processing equipment according to claim 1, characterized in that, The color information includes at least the color name.

3. The control method for the garment processing equipment according to claim 1, characterized in that, The "determining the color information of the clothes to be washed" includes: Get an image containing the clothes to be washed; The image is segmented into multiple sub-image regions; The color information of the clothes to be washed is determined based on the color information of the multiple sub-image regions.

4. The control method for the garment processing equipment according to claim 1, characterized in that, The phrase "determining whether a staining warning disallowing mixed washing needs to be issued, at least based on the comparison results" includes: Obtain the material information of the clothes to be washed; Based on the comparison results and the material information, determine whether a dyeing warning that prohibits mixed washing needs to be issued.

5. A garment processing device, characterized in that, The garment processing device includes a memory and a processor, the memory being adapted to store a plurality of program codes, the program codes being adapted to be loaded and run by the processor to perform the control method of the garment processing device according to any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium is adapted to store a plurality of program codes, which are adapted to be loaded and run by a processor to perform the control method of the garment processing device according to any one of claims 1 to 4.

7. A control system for a garment processing device, characterized in that, The control system includes a control module, which is used to execute the control method of the garment processing equipment according to any one of claims 1 to 4.

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