A washing machine and a method for intelligently recommending a laundry treatment program thereof

Abstract

The present application provides a kind of washing machine and its method of intelligent recommendation clothes processing program, by detecting the weight of clothes to be processed, and the volume and material information of clothes to be processed are collected to estimate the weight range of clothes to be processed in dry state, the dry and wet state of washing is judged by comparing the weight of clothes to be processed and the estimated weight range, and the processing program is recommended to user according to the judgment result;Or the change of water accumulation on washing machine window cushion before and after clothes to be processed are put into washing machine is detected, the dry and wet state of clothes to be processed is judged according to the detection result, and the processing program is recommended to user according to the judgment result;Through the above scheme, the intelligent level of washing machine is further improved, the operation amount of user is reduced, and the use experience of user is improved.

Description

Technical Field

[0001] This invention belongs to the field of washing machines, and specifically relates to a washing machine and a method for intelligently recommending clothing processing programs. Background Technology

[0002] With the continuous advancement of technology and the improvement of people's living standards, higher demands are being placed on the convenience and intelligence of home appliances. Most current smart washing machines can record users' frequently used washing routines and recommend commonly used programs based on user habits, avoiding complicated settings when washing clothes. Some smart washing machines can even collect information such as the material of the user's clothes and perform big data filtering on the collected information before recommending the optimal washing program. However, the above-mentioned smart washing solutions only match the parameters of the washing program according to the different materials of the clothes to be treated; they cannot recommend which treatment program to use based on the condition of the clothes, and therefore cannot be considered truly intelligent.

[0003] Currently, most users are not very concerned about the wear and tear on clothes during the washing process, but rather whether the clothes can be thoroughly cleaned and whether the washing machine is truly intelligent and can simplify the user's operation. Some special stains cannot be effectively removed by the washing machine. In such cases, users often choose to hand wash the clothes and then use the washing machine to spin-dry them. However, existing smart washing machines cannot directly recommend a spin-drying program based on the condition of the clothes, and users need to select the program manually, which reduces the user experience.

[0004] This invention is proposed to solve the above problems. Summary of the Invention

[0005] To address the problems in the prior art, this invention provides a washing machine and a method for intelligently recommending clothing processing programs. By determining the dryness or wetness of the clothes when they are placed in the washing machine, the invention recommends processing programs to the user, thereby further improving the intelligence level of the washing machine, reducing the amount of user operation, and enhancing the user experience.

[0006] To achieve the above objectives, the first aspect of the present invention provides a method for an intelligent clothing recommendation process, comprising the following steps:

[0007] S1. Determine the dryness or wetness of the clothing to be processed;

[0008] S2. Recommend a processing procedure based on the determination of the dryness or wetness of the clothes to be processed. The processing procedure is either a washing procedure or a spin-drying procedure.

[0009] In the above scheme, step S1 can determine the dryness or wetness of the clothes to be processed in a variety of ways. One way is: the washing machine detects the weight of the clothes to be processed and compares the weight of the clothes to be processed with a threshold to determine the dryness or wetness of the clothes to be processed.

[0010] Furthermore, if the weight of the clothes to be processed falls within the threshold, it is determined that the clothes to be processed are in a dry state, and the washing machine recommends a washing program to the user.

[0011] If the weight of the clothes to be processed is greater than the threshold, it is determined that the clothes are wet, and the washing machine recommends a spin-drying program to the user.

[0012] The above solution measures the weight of the clothing to be treated and compares the weight with a threshold to determine the dryness or wetness of the clothing. This method can make a relatively simple and approximate determination of the dryness or wetness of the clothing, making it convenient for users.

[0013] Another method is to detect and compare the amount of water accumulated on the washing machine window pad before and after the clothes are put in, and determine the dryness or wetness of the clothes based on the change in the amount of water accumulated on the washing machine window pad before and after the clothes are put in.

[0014] The specific judgment method of the above scheme is as follows: after the clothes to be treated are put into the washing tub, if the amount of water in the washing machine window gasket is increased, it is determined that the clothes to be treated are wet, and the washing machine recommends the user to perform the spin-drying program.

[0015] If the amount of water in the washing machine's door seal remains unchanged or decreases, it is determined that the clothes to be processed are dry, and the washing machine recommends a washing program to the user.

[0016] The above solution detects and compares the amount of water accumulated in the washing machine window seal before and after the clothes are put into the washing tub. It judges the dryness or wetness of the clothes based on the change in the amount of water in the window seal, which can more intuitively determine whether the clothes are wet. It is more accurate and intelligent.

[0017] Furthermore, the two methods mentioned above can be combined to determine the dryness or wetness of the clothes to be processed. Before and after the clothes are put into the washing tub, the amount of water accumulated on the washing machine window gasket is detected and compared. The dryness or wetness of the clothes to be processed is determined based on the change in the amount of water. At the same time, the washing machine detects the weight of the clothes to be processed and compares the weight of the clothes to be processed with a threshold to further determine the dryness or wetness of the clothes to be processed.

[0018] In the above scheme, if both judgment methods determine that the clothes to be treated are wet, then the clothes to be treated are confirmed to be wet, and the washing machine recommends the spin-drying program to the user.

[0019] If the two methods yield different results, then there are two possible judgment methods:

[0020] First, the system judges the condition based on the change in the amount of water in the washing machine's door seal. If the clothes to be processed are determined to be wet, the system recommends a spin-drying program to the user based on this judgment.

[0021] Conversely, if the garment to be processed is determined to be dry, the weight of the garment is compared with a threshold to determine its wet or dry state, and the corresponding processing procedure is recommended to the user based on this determination.

[0022] Furthermore, based on the above scheme, after recommending the washing program, the washing machine provides the recommended processing program to the user through the machine and prompts the user for confirmation. If the user confirms to execute the recommended processing program, the washing machine processes the clothes to be processed according to the recommended processing program.

[0023] In the above scheme, if the user decides not to perform the recommended processing procedure, the clothing to be processed will be processed according to the user's subsequent settings.

[0024] Furthermore, the washing machine described in this invention can also be connected to a big data platform, which can retrieve information such as the volume and material of the clothes to be processed, optimize the recommended processing program, and recommend the optimized processing program to the user.

[0025] Furthermore, in the above scheme, the threshold is a weight range obtained by the washing machine identifying the clothes to be processed and estimating the weight of the clothes to be processed in a dry state based on the volume and material of the clothes to be processed.

[0026] The washing machine collects information such as the volume and material of the clothes to be processed, and estimates the weight of the clothes to be processed to obtain a threshold. Then, it compares the detected weight of the clothes to be processed with the threshold to determine the dryness or wetness of the clothes. This avoids misjudgment caused by using a fixed threshold to judge the clothes to be processed because it cannot analyze the specific conditions of the clothes. This further improves the accuracy of judging the dryness or wetness of the clothes to be processed, and further enhances the intelligence of the washing machine and the user experience.

[0027] The above solution uses two methods to determine the dryness or wetness of the clothing to be treated, achieving complementarity between the two methods. It avoids misjudgment caused by relying solely on the weight of the clothing, which may be due to the clothing not being emptied or containing miscellaneous items such as keys, increasing its weight. It also avoids misjudgment caused by low moisture content in the clothing when relying solely on changes in the amount of water in the window seal. This results in a more accurate determination of the condition of the clothing to be treated.

[0028] Furthermore, the above solution can also directly use a humidity sensor to detect the dryness or wetness of the clothes to be treated, compare the detection results with preset dryness and humidity thresholds, and recommend a treatment procedure to the user based on the comparison results.

[0029] By directly using a humidity sensor to determine the dryness or wetness of the clothes to be processed, the washing machine can more accurately determine the dryness or wetness of the clothes, and thus recommend more accurate processing programs to the user that better meet the user's needs, thereby improving the intelligence of the washing machine and enhancing the user experience.

[0030] A second aspect of the present invention provides a washing machine, comprising:

[0031] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0032] The window seal water accumulation detection device is used to detect the amount of water accumulated on the washing machine window seal and transmit the water accumulation information to the controller.

[0033] Alternatively, as an alternative to the above solution, the washing machine includes:

[0034] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0035] The weight detection device is used to detect the weight of the clothing to be processed and transmit the weight information to the controller.

[0036] An information processing device is used to acquire the material and volume information of the garment to be processed and transmit the material and volume information to the controller.

[0037] Preferably, the information processing device includes an image acquisition unit and an image recognition unit.

[0038] Alternatively, as an alternative to the above solution, the washing machine includes:

[0039] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0040] The window seal water accumulation detection device is used to detect the amount of water accumulated on the washing machine window seal and transmit the water accumulation information to the controller.

[0041] The weight detection device is used to detect the weight of the clothing to be processed and transmit the weight information to the controller.

[0042] An information processing device is used to acquire the material and volume information of the garment to be processed and transmit the material and volume information to the controller.

[0043] Preferably, the information processing device includes an image acquisition unit and an image recognition unit.

[0044] Furthermore, to improve the accuracy of the detection, the washing machine includes:

[0045] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0046] Humidity detector: Detects the humidity value of the clothing to be treated and transmits the humidity value to the controller.

[0047] The beneficial effects of this invention are as follows: By collecting information such as the volume and material of the clothes to be processed through a washing machine and estimating the weight of the clothes in a dry state to obtain a threshold, a weight detection device detects the weight of the clothes to be processed. Then, the weight of the clothes to be processed is compared with the threshold to determine the dryness or wetness of the clothes. This avoids misjudgment caused by using a fixed threshold when judging the clothes to be processed, as it cannot be analyzed according to the specific conditions of the clothes. Furthermore, by detecting and comparing the amount of water accumulated in the washing machine window pad before and after the clothes are loaded, the dryness or wetness of the clothes to be processed is determined based on the change in the amount of water accumulated in the window pad before and after loading. This system provides a more intuitive way to determine the dryness or wetness of the clothing to be processed, improving accuracy. Furthermore, by combining two methods to assess the dryness or wetness of the clothing, it achieves complementarity between the two approaches. This avoids misjudgments caused by relying solely on the weight of the clothing, which could result in the clothing containing miscellaneous items such as keys, leading to an overestimation of its actual weight. It also avoids misjudgments caused by relying solely on changes in the amount of water in the window seal, which could result in low moisture content in the clothing. This further improves the accuracy of determining the dryness or wetness of the clothing, making the recommendations provided to users based on these assessments more valuable. Attached Figure Description

[0048] The accompanying drawings, as part of this invention, are provided to further illustrate the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation thereof. Clearly, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0049] Figure 1 This is a flowchart of the first intelligent clothing recommendation processing procedure described in this invention.

[0050] Figure 2 This is a flowchart of the second intelligent clothing recommendation processing procedure described in this invention.

[0051] Figure 3 This is a flowchart illustrating the combination of the two intelligent clothing recommendation processing methods described in this invention. Detailed Implementation

[0052] The preferred embodiments of the present invention are described below with reference to a flowchart illustrating the control method of the present invention. Those skilled in the art will understand that the following 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. For example, although the steps of the method of the present invention are described in a specific order, this order is not restrictive. Those skilled in the art can perform the steps in different orders without departing from the basic principles of the present invention.

[0053] In the description of this invention, it should be noted that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting the invention.

[0054] As an embodiment of the present invention, this embodiment provides a washing machine using the intelligent recommended clothing processing program method described in the present invention. Figure 1 The method shown is for intelligently selecting the processing program for clothes to be processed, which is used to determine the dry or wet state of the clothes to be processed in the washing machine, and intelligently recommend the corresponding processing program based on the determination result.

[0055] In this embodiment, after the user places the clothes to be processed into the washing tub, the washing machine's built-in image acquisition unit collects the volume and material information of the clothes and estimates their weight in a dry state to obtain thresholds a to b. Then, the weight detection device detects the weight of the clothes placed into the washing tub to obtain a weight value c. After receiving the thresholds a to b and the weight value c, the controller compares the weight value c with the thresholds a to b to determine the dryness or wetness of the clothes. The specific determination method is as follows:

[0056] If the weight value c falls within the threshold a to b, the controller determines that the clothes to be processed are dry and recommends a washing program to the user.

[0057] If the weight value c is greater than the threshold a to b, the controller determines that the clothes to be processed are wet and recommends a dehydration program to the user.

[0058] After completing the above judgment steps and recommending the processing procedure to the user, the user also needs to confirm the processing procedure recommended by the washing machine. If the user confirms to execute the recommended processing procedure, the washing machine will execute the recommended processing procedure to process the clothes to be processed.

[0059] Furthermore, as the user places the clothes to be processed into the washing tub multiple times, the above judgment method is repeated to detect the clothes to be processed each time. When the dryness and wetness of the clothes to be processed are different in two separate instances, the washing machine will issue a prompt to the user. If the user confirms that the clothes with different dryness and wetness are processed at the same time, the washing program will be recommended directly.

[0060] Another approach is to recommend a processing procedure to the user if they separate clothes in different wet and dry states, based on their assessment of the remaining clothes in the washing tub.

[0061] Based on the above solutions, the washing machine can also connect to a big data platform. After determining the dryness or wetness of the clothes to be processed, it can retrieve the parameters of the processing program based on the recommended processing program, combined with the collected information such as the material or brand of the clothes to be processed, and optimize the processing program. The optimized results are then recommended to the user, further improving the user experience.

[0062] Furthermore, the image acquisition unit collects image information of the clothes to be processed. The washing machine compares the image information with the data from a big data platform to determine the degree of soiling of the clothes. Based on the determination of the dryness or wetness of the clothes and the degree of soiling, the washing machine recommends a processing program to the user. This method can not only recommend washing or spin-drying programs based on the dryness or wetness of the clothes, but also recommend rinsing programs based on the degree of soiling, further improving the intelligence level of the washing machine.

[0063] As another embodiment of the present invention, this embodiment provides a washing machine using the intelligent recommended clothing processing program method described in the present invention. Figure 2 The method shown is for intelligently recommending clothing processing programs, which is used to determine the dryness or wetness of the clothes to be processed in a drum washing machine and intelligently recommend the corresponding processing program.

[0064] In this embodiment, before the user puts the clothes to be processed into the washing tub, the window gasket water accumulation detection device detects the amount of water in the window gasket, obtaining a water accumulation detection value A. After the clothes are put into the washing tub, the water accumulation in the window gasket is detected again, obtaining a water accumulation detection value B. After receiving the water accumulation detection values ​​A and B, the controller compares A and B to determine the dryness or wetness of the clothes to be processed. The specific determination method is as follows:

[0065] If the water accumulation detection value B is greater than the water accumulation detection value A, the controller determines that the clothes to be processed are wet clothes and directly recommends the dehydration program to the user.

[0066] If the water level B is less than or equal to the water level A, the controller determines that the clothes to be processed are dry and recommends a washing program to the user.

[0067] Users also need to confirm the washing machine's recommended processing program. If the user confirms the recommended processing program, the washing machine will execute the recommended processing program to process the clothes to be processed.

[0068] If the user decides not to follow the recommended procedure, the garments will be processed according to the user's own pre-defined procedure.

[0069] Building upon the aforementioned solution, the washing machine further detects the degree of soiling of the clothes to be treated and compares it with a preset soiling level to determine the soiling level. Based on the soiling level, it assesses the user's hand-washing intention and, combined with the results of detecting the dryness and wetness of the clothes, recommends a processing program to the user. Specifically:

[0070] If the washing machine determines that the clothes to be treated are highly soiled and are wet, it will recommend a washing program to the user.

[0071] If the washing machine determines that the clothes to be treated are of a low level of soiling and that the clothes are wet, the washing machine will recommend a rinse program to the user.

[0072] If the washing machine determines that the clothes to be treated are only lightly soiled and are wet, it will recommend a spin cycle to the user.

[0073] The above solution classifies the degree of soiling of the clothes to be treated and combines the degree of soiling with the dryness and wetness of the clothes to recommend a clothing treatment program to the user. This further categorizes the recommended treatment programs and improves the intelligence level of the washing machine.

[0074] As another embodiment of the present invention, this embodiment provides a washing machine using the intelligent recommended clothing processing program method of the present invention, which is used to determine the dry and wet state of the clothes to be processed in the drum washing machine and intelligently recommend the corresponding processing program.

[0075] In this embodiment, the following is used: Figure 3 The intelligent recommended clothing processing program shown involves the following steps: Before the user places the clothes into the washing tub, a water level detection device on the window gasket measures the amount of water, obtaining a water level detection value A. After the clothes are placed in the washing tub, the water level on the window gasket is measured again, obtaining a water level detection value B. The controller receives both water level detection values ​​A and B and compares them to determine the dryness or wetness of the clothes. The specific determination method is as follows:

[0076] If the water accumulation detection value B is greater than the water accumulation detection value A, the controller determines that the clothes to be processed are wet clothes and directly recommends the dehydration program to the user.

[0077] If the water level B is less than or equal to the water level A, the controller determines that the clothes to be processed are dry and recommends a washing program to the user.

[0078] Users also need to confirm the washing machine's recommended processing program. If the user confirms the recommended processing program, the washing machine will execute the recommended processing program to process the clothes to be processed.

[0079] If the user decides not to follow the recommended procedure, the garments will be processed according to the user's own pre-defined procedure.

[0080] Further, based on the above solutions, such as... Figure 1 As shown, if the water volume detection value B is less than or equal to the water volume detection value A, the controller determines that the clothes to be processed are dry. In this case, it does not recommend a washing program to the user and further confirms the dryness or wetness of the clothes to be processed, specifically:

[0081] The washing machine's built-in image acquisition unit collects the volume and material information of the clothes to be processed, and estimates the weight of the clothes in a dry state to obtain thresholds a to b. Then, the weight detection device detects the weight of the clothes placed in the washing tub to obtain a weight value c. After receiving the thresholds a to b and the weight value c, the controller compares the weight value c with the thresholds a to b to determine the dryness or wetness of the clothes to be processed. The specific determination method is as follows:

[0082] If the weight value c falls within the threshold a to b, the controller determines that the clothes to be processed are dry and recommends a washing program to the user.

[0083] If the weight value c is greater than the threshold a to b, the controller determines that the clothes to be processed are wet and recommends a dehydration program to the user.

[0084] After completing the above judgment steps and recommending the processing procedure to the user, the user also needs to confirm the processing procedure recommended by the washing machine. If the user confirms to execute the recommended processing procedure, the washing machine will execute the recommended processing procedure to process the clothes to be processed.

[0085] If the user decides not to follow the recommended procedure, the garments will be processed according to the user's own pre-defined procedure.

[0086] Furthermore, the above solution can also recommend rinsing programs to users based on the degree of soiling of the clothes to be treated, further improving the intelligence level of the washing machine.

[0087] The above solution uses two different detection methods to determine the dryness or wetness of the clothing to be processed, achieving complementarity between the two methods. This avoids misjudgments caused by relying solely on the weight of the clothing, which may result in the clothing weighing more than its actual weight if it contains debris such as keys. It also avoids misjudgments caused by low moisture content in the clothing when relying solely on changes in the amount of water accumulated in the window seal. This results in a more accurate determination of the condition of the clothing to be processed, improving the accuracy of the intelligent recommended clothing processing program.

[0088] As a further alternative to the above solution, the humidity of the clothes to be treated placed in the washing tub can be detected directly by a humidity sensor, and the humidity can be compared with a preset threshold to determine the dryness or wetness of the clothes to be treated, and the treatment program can be recommended to the user based on the determination result.

[0089] The aforementioned alternatives can more accurately determine the dryness or wetness of the clothes to be processed, and recommend processing programs that better meet the user's needs, further improving the intelligence level of the washing machine.

[0090] As another embodiment of the present invention, this embodiment provides a drum washing machine, the drum washing machine comprising:

[0091] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0092] The window seal water accumulation detection device is used to detect the amount of water accumulated on the washing machine window seal and transmit the water accumulation information to the controller.

[0093] The window mat water accumulation detection device detects the change in water accumulation on the window mat before and after the clothes to be treated are placed on it. Then the controller determines the dry and wet status of the clothes to be treated based on the change in water accumulation.

[0094] Because the amount of water on the window seat changes depending on the degree of wetness of the clothes to be treated, the above method cannot accurately determine the dryness or wetness of the clothes to be treated.

[0095] Furthermore, in this embodiment, to improve the accuracy of the judgment, the drum washing machine further includes:

[0096] The weight detection device is used to detect the weight of the clothing to be processed and transmit the weight information to the controller.

[0097] An information processing device is used to acquire the material and volume information of the garment to be processed and transmit the material and volume information to the controller.

[0098] Preferably, the information processing device includes an image acquisition unit and an image recognition unit.

[0099] If the controller determines that the clothes to be processed are dry based on the change in the amount of water accumulated in the window gasket, the image acquisition unit in the clothes to be processed information processing device collects the information of the clothes to be processed and estimates the weight threshold of the clothes to be processed in the dry state; at the same time, the weight detection device detects the actual weight of the clothes to be processed in the washing tub, and then the controller compares the actual weight of the clothes to be processed with the estimated threshold to determine the dry and wet state of the clothes to be processed.

[0100] As another embodiment of the present invention, this embodiment provides a pulsator washing machine, comprising:

[0101] The controller receives information about the dryness or wetness of the clothes to be processed and recommends a processing procedure.

[0102] The weight detection device is used to detect the weight of the clothing to be processed and transmit the weight information to the controller.

[0103] An information processing device is used to acquire the material and volume information of the garment to be processed and transmit the material and volume information to the controller.

[0104] Preferably, the information processing device includes an image acquisition unit and an image recognition unit.

[0105] The image acquisition unit in the garment information processing device collects information about the garments to be processed and estimates the weight threshold of the garments in a dry state. At the same time, the weight detection device detects the actual weight of the garments to be processed in the washing tub. Then, the controller compares the actual weight of the garments to be processed with the estimated threshold to determine the dry or wet state of the garments.

[0106] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-described technical content to create equivalent embodiments without departing from the scope of the present invention. The implementation schemes in the above embodiments can also be further combined or replaced. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for intelligently recommending clothing processing procedures, characterized in that, Includes the following steps: S1. Detect the change in the amount of water accumulated on the washing machine window pad before and after the clothes to be processed are put in, and determine the dry and wet state of the clothes to be processed based on the change in the amount of water accumulated. If the amount of water accumulated on the washing machine window pad increases, it is determined that the clothes to be processed are in a wet state. If the amount of water accumulated on the washing machine window pad remains unchanged or decreases, it is determined that the clothes to be processed are in a dry state. S2. If the clothes to be treated are wet, a spin cycle is recommended; if the clothes are dry, a wash cycle is recommended.

2. The method for intelligent clothing recommendation processing according to claim 1, characterized in that, After completing step S2, proceed to step S3, where the user is prompted to confirm the recommended processing procedure or make further adjustments. The clothing to be processed is then processed according to the processing procedure confirmed by the user.

3. A washing machine employing the method described in any one of claims 1-2, characterized in that, Includes a controller for receiving information on the dryness or wetness of the garments to be processed and recommending a processing procedure; The window seal water accumulation detection device is used to detect the amount of water accumulated on the washing machine window seal and transmit the water accumulation information to the controller.

4. A method for intelligently recommending clothing processing procedures, characterized in that, Includes the following steps: S1. Detect the change in the amount of water accumulated on the washing machine window pad before and after the clothes to be processed are put in, and determine the dry and wet state of the clothes to be processed based on the change in the amount of water accumulated. If the amount of water accumulated on the washing machine window pad increases, it is determined that the clothes to be processed are in a wet state. If the amount of water accumulated on the washing machine window pad remains unchanged or decreases, the washing machine detects the weight of the clothes to be processed and compares the weight of the clothes to be processed with a threshold to determine the dry and wet state of the clothes to be processed. The threshold is the weight range of the clothes to be processed in a dry state estimated by the washing machine based on the volume and material of the clothes to be processed after the clothes to be processed are identified. S2. Recommend a processing procedure based on the determination of the dryness or wetness of the clothes to be processed. The processing procedure is either a washing procedure or a spin-drying procedure.

5. The method for intelligent clothing recommendation processing according to claim 4, characterized in that, If the weight of the garment to be treated is greater than the threshold, the garment is determined to be wet and a spin-drying program is recommended. If the weight of the garment is within the threshold, the garment is determined to be dry and a washing program is recommended.

6. The method for intelligent clothing recommendation processing according to any one of claims 4-5, characterized in that, After completing step S2, proceed to step S3, where the user is prompted to confirm the recommended processing procedure or make further adjustments. The clothing to be processed is then processed according to the processing procedure confirmed by the user.

7. A washing machine employing the method as described in any one of claims 4-6, characterized in that, Includes a controller for receiving information on the dryness or wetness of the garments to be processed and recommending a processing procedure; The window seal water accumulation detection device is used to detect the amount of water accumulated on the washing machine window seal and transmit the water accumulation information to the controller.

8. The washing machine according to claim 7, characterized in that, It also includes a weight detection device for detecting the weight of the garment to be processed and transmitting the weight information to the controller; and an information processing device for acquiring the material and volume information of the garment to be processed and transmitting the material and volume information to the controller.

9. The washing machine according to claim 8, characterized in that, The information processing device includes an image acquisition unit and an image recognition unit.

Images