Method for identifying the dyeing of laundry to be washed and washing apparatus

Abstract

The present application relates to a dyeing identification method of laundry and a washing device. The dyeing identification method of laundry comprises the following steps: acquiring an image of laundry; comparing the image of laundry with images of easily-dyed laundry stored in a database; and determining whether the laundry is easily dyed based on the comparison result. By directly comparing the image of laundry with the images of easily-dyed laundry stored in the database to identify whether the laundry is easily dyed, the dyeing identification method can intuitively, quickly and accurately identify whether the laundry is easily dyed. The washing device can quickly identify whether the laundry is easily dyed using the dyeing identification method.

Description

Technical Field

[0001] This invention relates to the field of washing, specifically providing a method for identifying the staining of clothes to be washed and a washing device. Background Technology

[0002] Washing equipment, as a common household appliance, has been a part of people's lives for a long time. From the initial semi-automatic washing machines to the later fully automatic washing machines, and now to today's drum washing machines, it has undergone a long process of improvement. It can wash a large number of clothes at once, greatly facilitating people's washing work and saving a lot of labor time. However, among a batch of clothes, there may be clothes that are easily stained or faded, which can lead to the entire batch of clothes being contaminated and discolored. Since the staining of clothes cannot be directly observed with the naked eye, and there is currently no simple method to accurately determine it, the problem of clothing staining has always plagued people's lives.

[0003] To address the aforementioned problems, existing technologies have developed washing equipment capable of determining the staining status of laundry. For example, Chinese invention patent CN106637812B discloses a control method, device, and washing machine for a washing machine. This control method determines the fading risk value of the laundry by acquiring its material and color information, and then determines the color bleeding risk value. When color bleeding risk is determined, the washing machine is paused and an alarm is issued. However, the accuracy of this control method is not high enough, and by the time the judgment result is generated, some degree of color bleeding or staining may have already occurred between the laundry items. Therefore, this technical solution has room for improvement.

[0004] Accordingly, a new technical solution is needed in this field to solve the above-mentioned technical problems. Summary of the Invention

[0005] To address the technical problem of the inability to quickly, intuitively, and accurately identify the staining status of laundry in existing technologies, this invention provides a method for identifying the staining status of laundry. This method includes the following steps: acquiring an image of the laundry; comparing the image of the laundry with images of easily stainable clothing stored in a database; and determining, based on the comparison results, whether the laundry is prone to staining.

[0006] The database stores images of easily dyed clothing. By directly comparing the image of the garment to be washed with one-to-one images of easily dyed clothing in the database, it is determined whether the image of the garment to be washed matches an image of a specific easily dyed garment in the database. If the similarity between the two images exceeds a predetermined value, the two images are considered to match; conversely, if the similarity is below the predetermined value, the two images are considered to not match. If the two images match, it is determined that the garment to be washed belongs to the easily dyed clothing category already stored in the database, and therefore is easily dyed. This method, through image similarity matching, can intuitively and quickly identify whether a garment to be washed is easily dyed.

[0007] In the preferred embodiment of the above-mentioned method for identifying the staining of laundry, the step of determining whether the laundry is easily stained based on the comparison result further includes: if the comparison result shows that the image of the laundry matches the images of easily stained clothing stored in the database, then the laundry is determined to be easily stained, and hand washing is recommended. If the staining identification method determines that the laundry is easily stained, it recommends that the user hand wash it to avoid machine washing causing staining to other clothes.

[0008] In the preferred embodiment of the above-mentioned method for identifying the staining of laundry garments, the step of determining whether the laundry garment is easily stained based on the comparison result further includes: if the comparison result indicates that the image of the laundry garment does not match the images of easily stained garments stored in the database, then the color parameter CL and material parameter CM in the image of the laundry garment are obtained; the color fastness value CTO of the laundry garment is obtained by looking up a table based on the material parameter CM; the anti-staining index ASA of the laundry garment is calculated based on the color parameter CL, material parameter CM, and color fastness value CTO; the anti-staining index ASA is compared with a preset anti-staining threshold; when the anti-staining index ASA is less than the anti-staining threshold, it is determined that the laundry garment is easily stained, and hand washing of the laundry garment is recommended. When no image matching the laundry garment is found in the database, there are two situations: the first situation is that the laundry garment belongs to the category of garments that are not easily stained; the second situation is that although the laundry garment actually belongs to the category of easily stained garments, there is no image of such easily stained garments in the database. Therefore, further identification is required to obtain an accurate result on whether the laundry garment is easily stained. Specifically, firstly, based on the image of the garment to be washed, the color parameter CL and material parameter CM are obtained; then, based on the material parameter CM, the wash fastness value CTO of the garment is obtained by looking up a table; finally, the stain resistance index ASA of the garment is calculated using the color parameter CL, material parameter CM, and wash fastness value CTO. The stain resistance index ASA allows for a more accurate determination of whether the garment is prone to staining, thereby improving the accuracy of this method.

[0009] In the preferred embodiment of the above-mentioned method for identifying staining of laundry, when the anti-staining index (ASA) is greater than or equal to the anti-staining threshold, it is determined that the laundry is not easily stained, and machine washing is recommended. Since the laundry is determined to be not easily stained based on the anti-staining index (ASA), machine washing can be recommended because it will not cause staining problems.

[0010] In the preferred technical solution of the above-mentioned method for identifying staining of laundry, the anti-staining index ASA is calculated using the following formula: ASA = CTO * W1 + CM * W2 + CL * W3, where W1 is the first importance coefficient of the wash fastness parameter CTO, W2 is the second importance coefficient of the material parameter CM, and W3 is the third importance coefficient of the color parameter CL. This formula comprehensively considers the color parameters, material parameters, and wash fastness of the laundry and adjusts the importance of each index, resulting in a more accurate anti-staining index.

[0011] In the preferred embodiment of the above-mentioned method for identifying the staining of laundry, after providing a recommendation to hand-wash or machine-wash the laundry, the staining identification method further includes: obtaining user instructions; comparing the recommendation results with the user instructions; executing the recommendation results when the user instructions match; and processing the laundry according to the user instructions when the user instructions do not match. By allowing the user to participate in the specific identification process through their instructions, the method can fully utilize the user's life experience and preferences to correct the identification results, thereby further improving the accuracy of the identification results.

[0012] In the preferred embodiment of the above-mentioned method for identifying the staining of clothes to be washed, when the user's instructions are inconsistent with the recommended results, the image of the clothes to be washed and the corresponding user instructions are uploaded to the database. In this way, through machine self-learning, the database can be continuously improved, gradually deepening the understanding of the user's clothing, thereby continuously improving the recognition accuracy of this method.

[0013] In the preferred embodiment of the above-mentioned method for identifying the staining of laundry, the method further includes: when the recommendation result is to recommend machine washing of the laundry, or when the user's instruction changes the recommendation result from hand washing to machine washing, determining the number of anti-color-bleeding sheets that can be placed in the washing area based on the anti-staining index (ASA). The anti-color-bleeding sheets can quickly absorb dyes dissolved in water from easily staining clothing, effectively reducing color bleeding and staining between garments.

[0014] In the preferred embodiment of the above-mentioned method for identifying the staining of laundry, the method further includes: providing multiple washing zones; and assigning the laundry to a corresponding zone based on recommendations or user instructions. By placing the laundry in separate zones, the clothes in each washing zone can be effectively protected, preventing easily stainable clothes from mixing with less stainable clothes and avoiding contamination of the entire washing zone.

[0015] In addition, the present invention also provides a washing device that uses the above-described dyeing identification method for laundry to identify whether laundry is easily dyed. The washing device of the present invention, through the above-described dyeing identification method, can intuitively, quickly, and accurately identify whether laundry is easily dyed. Attached Figure Description

[0016] The preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which:

[0017] Figure 1 This is a flowchart of the dye identification method for clothes to be washed according to the present invention;

[0018] Figure 2 This is a flowchart of an embodiment of the dye identification method for clothes to be washed according to the present invention. Detailed Implementation

[0019] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0020] To address the technical problem of the inability to quickly and intuitively identify the staining condition of laundry in existing technologies, this invention provides a method for identifying the staining condition of laundry. For example... Figure 1 As shown, the method for identifying the staining of the garment to be washed includes the following steps:

[0021] Obtain an image of the clothes to be washed (step S1);

[0022] Compare the image of the clothes to be washed with the images of easily dyed clothes stored in the database (step S2);

[0023] Based on the comparison results, determine whether the garment to be washed is prone to staining (step S3). This staining identification method allows for a direct comparison between the image of the garment to be washed and images of easily stained garments already stored in the database, thus quickly and efficiently identifying whether the garment is prone to staining.

[0024] Figure 2 This is a flowchart illustrating an embodiment of the dye identification method for laundry of the present invention. Figure 2As shown, in one or more embodiments, the method for identifying the staining of laundry includes the following steps. First, step S1 is performed: acquiring an image of the laundry. In one or more embodiments, an image of the laundry being picked up and displayed by the user is acquired via a camera. The image can be a photograph or a video clip. Alternatively, an image of the laundry is acquired via a camera, in which case the image is a photograph. The camera can be directly mounted on the washing equipment, for example, mounted on or near the control panel of a drum washing machine. Alternatively, the camera can be mounted independently of the washing equipment.

[0025] like Figure 2 As shown, after acquiring the image of the garment to be washed, the staining recognition method proceeds to step S2: comparing the image of the garment to be washed with images of easily stainable clothing stored in the database to determine whether the image of the garment to be washed matches the images of easily stainable clothing stored in the database. In one or more embodiments, the database stores images of commonly available clothing and images of clothing preset by the user, and the database stores these clothing images in multiple categories. In one or more embodiments, the clothing image categories in the database include image categories for extremely easily stainable clothing, image categories for moderately easily stainable clothing, and image categories for clothing that is not easily stainable. In one or more embodiments, the database is a cloud platform data management system that, through connection to the Internet, acquires images of newly listed clothing in real time or periodically and classifies the image of each garment into the corresponding category according to the clothing's washing label. Alternatively, the database is an offline storage device.

[0026] In one or more embodiments, an image of the garment to be washed is directly compared with images of easily dyed clothing stored in a database to determine their similarity. When the similarity exceeds a predetermined threshold, the two images are considered to match, thus determining that the garment to be washed is easily dyed clothing. Conversely, when the similarity is below the predetermined threshold, the two images are considered to be mismatched, requiring further comparison and judgment. The predetermined threshold may be, for example, 90%, 95%, 98%, etc. In one or more embodiments, an image of the garment to be washed is compared with at least one of the patterns, designs, cutouts, or patchwork designs of the clothing in images of easily dyed clothing stored in a database. In one or more embodiments, an image of the garment to be washed is compared with the color arrangement and color matching of the clothing in images of easily dyed clothing stored in a database. In one or more embodiments, an image of the garment to be washed is compared with at least one of the styles, cuts, or patterns of the clothing in images of easily dyed clothing stored in a database. In one or more embodiments, an image of the garment to be washed is compared with at least one of the outer layer style, inner layer style, and inner and outer layer combination style of the clothing in images of easily dyed clothing stored in a database.

[0027] like Figure 2 As shown, if the comparison result in step S2 matches the image of the garment to be washed with an image of a easily dyed garment in the database, then the garment to be washed is confirmed to be easily dyed (including extremely easily dyed or relatively easily dyed). In one or more embodiments, when the similarity between the image of the garment to be washed and the image of an easily dyed garment in the database exceeds 90%, the comparison result is determined to be a match, and the garment to be washed is determined to be similar to or the same as an easily dyed garment stored in the database, thereby determining that the garment to be washed is easily dyed. In this case, the dyeing identification method proceeds to step S31: recommending hand washing of the garment to be washed. Accordingly, the easily dyed garment to be washed can be placed in a first washing area for accommodating all easily dyed garments. The first washing area may be, for example, a separately placed laundry basket or other suitable storage device, or a storage device integrated into the washing equipment. In one or more embodiments, the recommendation result is presented to the user via a display. Alternatively, the recommendation result is presented to the user via voice announcement. Alternatively, the recommendation result is presented to the user via indicator lights of different colors or shapes.

[0028] like Figure 2 As shown, after performing step S31, the colorimetric recognition method proceeds to step S4: obtaining user instructions. In one or more embodiments, user instructions are obtained through a control panel. Alternatively, user instructions are obtained through a microphone. Alternatively, user instructions are obtained through buttons or keypads. In one or more embodiments, user instructions include an approval instruction of at least one of agreeing, defaulting, or skipping, and also include an instruction to disagree with the recommendation and provide a correction. In one or more embodiments, user instructions include at least one of touch instructions, voice instructions, text instructions, facial expression instructions, or gesture instructions.

[0029] like Figure 2 As shown, after executing step S4, the colorimetric identification method proceeds to step S5: comparing the recommendation result with the user's instruction to determine whether the recommendation result is consistent with the user's instruction. In one or more embodiments, if the user's instruction is an approval instruction including at least one of agreeing, defaulting, or skipping, then the recommendation result is confirmed to be consistent with the user's instruction. In one or more embodiments, if the user's instruction includes a modification instruction, then the recommendation result is confirmed to be inconsistent with the user's instruction.

[0030] like Figure 2As shown, when the user's instruction matches the recommendation result, it is confirmed that the recommendation result is approved by the user, and step S51 is executed: execute the recommendation result. When the user's instruction does not match the recommendation result, it is confirmed that the user has modified the recommendation result, and step S52 is executed: execute the user instruction and process the laundry according to the user's instruction. In one or more embodiments, the recommendation result is to recommend machine washing the laundry, but the user's instruction does not match the recommendation result and requests hand washing. Accordingly, the laundry can be placed in a first washing area for easily dyed clothes. In one or more embodiments, the recommendation result is to recommend hand washing the laundry, but the user's instruction does not match the recommendation result and requests machine washing. Accordingly, the laundry can be placed in a second washing area for clothes that are not easily dyed. The second washing area may be, for example, a separately placed laundry basket or other suitable storage device, or placed directly in the washing drum of the washing equipment. Figure 2 As shown, after executing step S52, the staining recognition method executes step S53: uploading the image of the garment to be washed and the corresponding user instruction to the database. In one or more embodiments, the image of the garment to be washed is added to the corresponding category according to the user instruction. Once step S53 is completed, the staining recognition method ends.

[0031] like Figure 2 As shown, if the comparison result in step S2 indicates that the image of the garment to be washed does not match the images of easily dyed clothing stored in the database, the dyeing recognition method proceeds to step S321: obtaining the color parameter CL and material parameter CM in the image of the garment to be washed. In one or more embodiments, when the similarity between the image of the garment to be washed and the images of easily dyed clothing in the database does not exceed 90%, the comparison result is determined to be a mismatch. In one or more embodiments, the color parameter CL in the image of the garment to be washed includes at least one of hue, saturation, and brightness. In one or more embodiments, the color parameter CL is quantified and then classified into levels, as shown in Table 1 below, with the level range between 0 and 2. In one or more embodiments, the material parameter CM in the image of the garment to be washed includes at least one of fiber type, yarn structure, and fabric weave. In one or more embodiments, the material parameter CM in the image of the garment to be washed includes at least one of natural fiber and chemical fiber. In one or more embodiments, the material parameter CM in the image of the garment to be washed includes at least one of woven fabric, knitted fabric, non-woven fabric, or braided fabric. In one or more embodiments, the material parameter CM in the image of the garment to be washed includes at least one of pure cotton, linen, silk, synthetic fiber, fur, or leather. In one or more embodiments, the material parameter CM is quantified and then classified into levels, as shown in Table 1 below, with the level range between 0 and 2.

[0032] Table 1: Anti-staining indicators

[0033]

[0034] like Figure 2 As shown, after obtaining the color parameter CL and material parameter CM from the image of the garment to be washed, the dyeing identification method executes step S322: obtaining the wash fastness value CTO corresponding to the material parameter CM by looking up a table. In one or more embodiments, the wash fastness value CTO of the garment to be washed is obtained by querying the "Material-Wash Fastness Relationship Table," where the material parameter CM and the wash fastness value CTO have a one-to-one correspondence. In one or more embodiments, the "Material-Wash Fastness Relationship Table" is stored in a database. Alternatively, the "Material-Wash Fastness Relationship Table" can be obtained directly from the Internet. In one or more embodiments, the wash fastness value CTO is quantified and then classified into grades, with the grade range between 0 and 4, as shown in Table 1 above.

[0035] like Figure 2 As shown, after executing step S322, the staining identification method executes step S323: calculating the stain resistance index ASA of the garment to be washed based on the color parameter CL, material parameter CM, and wash fastness value CTO. In one or more embodiments, the stain resistance index ASA is calculated using the following formula: ASA = CTO * W1 + CM * W2 + CL * W3, where W1 is the first importance coefficient of the wash fastness parameter CTO, W2 is the second importance coefficient of the material parameter CM, and W3 is the third importance coefficient of the color parameter CL. In one or more embodiments, the stain resistance index ASA is graded, with different grades corresponding to different degrees of staining ease of the garment to be washed. In one or more embodiments, as shown in Table 1 above, the stain resistance index ASA is divided into 3 grades, where an ASA between 0 and 2 indicates that the garment to be washed is extremely easy to stain, an ASA between 3 and 5 indicates that the garment to be washed is relatively easy to stain, and an ASA between 6 and 8 indicates that the garment to be washed is not easy to stain. Accordingly, based on the anti-staining index, three separate washing areas can be provided: a first washing area for easily dyed clothes; a second washing area for moderately dyed clothes; and a third washing area for clothes that are not easily dyed. Alternatively, only two washing areas can be provided: a first washing area for easily and moderately dyed clothes; and a second washing area for clothes that are not easily dyed.

[0036] like Figure 2As shown, after calculating the anti-staining index ASA, the staining identification method executes step S324: comparing the anti-staining index ASA with a preset anti-staining threshold to determine whether the anti-staining index ASA is less than the preset anti-staining threshold. When the anti-staining index ASA is less than the preset anti-staining threshold, it is determined that the laundry is easily stained, and step S31 is executed: hand washing of the laundry is recommended. Accordingly, the laundry can be placed in the first washing area. In one or more embodiments, the anti-staining threshold is defined as 3. When the anti-staining index ASA is less than 3, the laundry belongs to the extremely easily stained level, and it is determined that the laundry is easily stained, and hand washing of the laundry is recommended. In one or more embodiments, the anti-staining threshold is defined as 6. When the anti-staining index ASA is less than 6, the laundry belongs to the extremely easily stained level or the relatively easily stained level, and it is determined that the laundry is easily stained, and hand washing of the laundry is recommended. Figure 2 As shown, after executing step S31, steps S4 and subsequent steps are executed sequentially. Specifically, during step S53, the image of the garment to be washed, color parameter CL, material parameter CM, wash fastness value CTO, and stain resistance index ASA are all uploaded to the database. These parameters correspond to the image of the garment to be washed and the color parameter CL, material parameter CM, wash fastness value CTO, and stain resistance index ASA. In one or more embodiments, user modification commands are also uploaded to the database.

[0037] like Figure 2 As shown, when the anti-staining index ASA is greater than or equal to the anti-staining threshold, it is determined that the laundry is not easily stained, and step S32 is executed: machine washing of the laundry is recommended. Accordingly, the laundry can be placed in the second washing area that contains clothes that are not easily stained. In one or more embodiments, the anti-staining threshold is defined as 3. When the anti-staining index ASA is greater than or equal to 3, the laundry belongs to the category of being relatively easy to stain or not easily stained, and it is determined that the laundry is not easily stained, and machine washing of the laundry is recommended. This threshold definition allows the washing equipment to have a larger washing range. In one or more embodiments, the anti-staining threshold is defined as 6. When the anti-staining index ASA is greater than or equal to 6, the laundry belongs to the category of not easily stained, and it is determined that the laundry is not easily stained, and machine washing of the laundry is recommended. This threshold definition ensures that the laundry is not easily stained. Figure 2As shown, after executing step S32, steps S4 and subsequent steps are executed sequentially. Specifically, during step S53, the image of the garment to be washed, color parameter CL, material parameter CM, wash fastness value CTO, and stain resistance index ASA are all uploaded to the database. A correspondence is established between the image of the garment and the color parameter CL, material parameter CM, wash fastness value CTO, and stain resistance index ASA. In one or more embodiments, user modification commands are also uploaded to the database.

[0038] In one or more embodiments, when the recommendation result is machine washing of the clothes to be washed, or when the user's instruction changes the recommendation from hand washing to machine washing, the number of anti-color-bleeding sheets to be placed in the corresponding washing area is determined based on the anti-staining index (ASA). In one or more embodiments, when the anti-staining index (ASA) is between 0 and 2, 3 anti-color-bleeding sheets are placed in the washing area; when the anti-staining index (ASA) is between 3 and 5, 2 anti-color-bleeding sheets are placed in the washing area; when the anti-staining index (ASA) is between 6 and 8, 1 anti-color-bleeding sheet is placed in the washing area, or no anti-color-bleeding sheet is placed. In one or more embodiments, when the recommendation result is machine washing of the clothes to be washed, or when the user's instruction changes the recommendation from hand washing to machine washing, the number of anti-color-bleeding sheets to be placed in the washing area is determined according to the user's instruction.

[0039] This method for identifying the staining of laundry requires image recognition technology to compare images of the laundry items. Data analysis is then used to obtain the color parameter (CL), material parameter (CM), and colorfastness to washing (CTO) value of the laundry items, ultimately yielding the stain resistance index (ASA). By combining the image comparison results and the ASA, the method can accurately, quickly, and efficiently identify whether a laundry item is prone to staining. Furthermore, this method has self-learning capabilities. When the recommended results differ from the user's instructions, the method uploads the image of the laundry item and the corresponding user instructions to a database. This allows the method to continuously improve the database, learn from user instructions and washing habits, and gradually deepen its understanding of the user and their washing preferences, thereby continuously improving the accuracy of the method.

[0040] In an alternative embodiment, if the comparison result in step S2 shows that the image of the garment to be washed does not match the images of easily dyed garments stored in the database, the staining identification method directly identifies the garment as not easily dyed and recommends machine washing. Using this method simplifies the staining identification process, making it faster, but the accuracy of staining identification may be somewhat affected.

[0041] The present invention also provides a washing device. The washing device includes, but is not limited to, a drum washing machine or a top-loading washing machine. The washing device uses a processor to identify whether the laundry is easily stained using any of the aforementioned methods for identifying the staining of laundry. In one or more embodiments, the method for identifying the staining of laundry is used to identify whether the laundry is easily stained before the laundry is placed in the corresponding washing area. In one or more embodiments, a camera captures the laundry being picked up and displayed by the user, and then the processor uses the aforementioned method for identifying the staining of laundry to determine whether the laundry is easily stained. The processor may be a processor integrated into the washing device or a separately provided processor.

[0042] 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 method for identifying the staining of clothes to be washed, characterized in that, The staining recognition method includes the following steps: Acquire an image of the garment to be washed; The image of the garment to be washed is compared with images of easily dyed garments stored in the database; Based on the comparison results, it is determined whether the laundry is prone to staining. The step of determining whether the garment to be washed is prone to staining based on the comparison results includes: If the comparison result shows that the image of the garment to be washed does not match the image of easily dyed clothing stored in the database, then the color parameter CL and material parameter CM in the image of the garment to be washed are obtained. Based on the material parameter CM, the color fastness value CTO of the garment to be washed is obtained by looking up a table. The anti-staining index ASA of the garment to be washed is calculated based on the color parameter CL, material parameter CM, and wash fastness value CTO. The anti-staining index ASA is compared with a preset anti-staining threshold; When the anti-staining index ASA is less than the anti-staining threshold, it is determined that the garment to be washed is prone to staining, and hand washing of the garment is recommended. The anti-staining index ASA is calculated using the following formula: ASA = CTO*W1 + CM*W2 + CL*W3 Wherein, W1 is the first importance coefficient of the wash fastness parameter CTO, W2 is the second importance coefficient of the material parameter CM, and W3 is the third importance coefficient of the color parameter CL.

2. The method for identifying the staining of clothes to be washed according to claim 1, characterized in that, The step of determining whether the laundry is prone to staining based on the comparison results further includes: If the comparison result shows that the image of the garment to be washed matches the image of easily dyed clothing stored in the database, then it is determined that the garment to be washed is easily dyed, and hand washing of the garment is recommended.

3. The method for identifying the dyeing of clothes to be washed according to claim 1, characterized in that, When the anti-staining index ASA is greater than or equal to the anti-staining threshold, it is determined that the garment to be washed is not easily stained, and machine washing of the garment is recommended.

4. The method for identifying the staining of clothes to be washed according to claim 3, characterized in that, After providing a recommendation to hand wash or machine wash the garment, the stain identification method further includes: Obtain user instructions; Compare the recommendation results with the user's instructions; When the user's instruction matches the recommendation result, the recommendation result is executed; When the user's instructions are inconsistent with the recommended results, the laundry is processed according to the user's instructions.

5. The method for identifying the staining of clothes to be washed according to claim 4, characterized in that, When the user's instructions do not match the recommended results, the image of the clothes to be washed and the corresponding user instructions are uploaded to the database.

6. The method for identifying the staining of clothes to be washed according to claim 4, characterized in that, The staining recognition method further includes: When the recommendation result is to recommend machine washing the clothes to be washed, or when the user's instruction changes the recommendation result from hand washing to machine washing, the number of anti-color bleeding sheets that can be placed in the washing area is determined based on the anti-staining index ASA.

7. The method for identifying the staining of clothes to be washed according to claim 4, characterized in that, The staining recognition method further includes: Multiple washing areas are provided; Based on the recommendation results or the user's instructions, the laundry is assigned to one of the multiple washing zones.

8. A washing device, characterized in that, The washing equipment uses the stain identification method for laundry as described in any one of claims 1-7 to identify whether the laundry is easily stained.

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