Clothes washing control method, system and device and medium

Abstract

The invention relates to the field of smart home, and particularly provides a clothes washing control method, system and device and a medium. The method comprises the following steps: pre-establishing a mapping relation between a clothes stain image and a washing program; collecting a stain image of to-be-washed clothes; determining a washing program based on the mapping relation and the stain image of the to-be-washed clothes; and controlling the washing machine to wash according to the washing program. According to the invention, programs can be intelligently selected according to pollutant conditions of different clothes, and user satisfaction can be continuously learned, perfected and improved according to user feedback.

Description

Technical Field

[0001] The present invention relates to the field of smart home, and specifically provides a clothes washing control method, system, control device and medium. Background Art

[0002] As washing machines become more and more popular in households, people are becoming more and more dependent on them, and their requirements for the cleanliness of washing machines are also getting higher and higher. Due to the different work and living situations of different users, the degree of dirt on their clothes will also be different. So what kind of stains should be used for what kind of program? This professional question is a difficult problem to solve from the user's point of view. Many users often choose the same speed wash program regardless of the load or the stain. This not only fails to achieve the purpose of cleaning clothes, but also causes users to complain about the brand of the washing machine.

[0003] In daily life, clothes will inevitably be stained with different types of stains, such as:

[0004] 1. Oil stains: Oil stains from cooking food, such as oil stains from the exhaust vent of the range hood.

[0005] 2. Wine stains: Wine stains from drinking, such as wine stains on cups.

[0006] 3. Blood stains: Blood stains from bleeding, such as blood stains after injury.

[0007] 4. Sweat stains: Sweat stains from exercise or hot weather, such as sweat stains on the back of the hands.

[0008] 5. Dust: Dust from daily wear.

[0009] 6. Animal hair: hair from pets, such as dogs, cats and other pets.

[0010] 7. Plant sap: sap from plants, such as leaves, flowers, etc.

[0011] 8. Chemical substances: Stains from chemicals such as cosmetics and medicines.

[0012] 9. Mildew: Mildew stains that come from humid environments.

[0013] 10. Food residue: Stains from food residues accidentally stuck on while eating, such as bread, biscuits, fruits, etc., are particularly common on children's clothes.

[0014] These types of stains may vary depending on clothing material, color, washing method, etc. Each type of stain may require different cleaning methods and techniques to remove.

[0015] Users cannot select or set laundry programs by themselves to effectively and specifically clean stains on clothes and achieve satisfactory washing results.

[0016] Therefore, it is necessary to develop an efficient and intelligent clothing cleaning method for clothing stains. Summary of the invention

[0017] In order to overcome the above-mentioned defects, the present invention proposes a clothing washing control method, system, control device and medium, which can match different washing degrees for different stains and improve the clothing washing effect.

[0018] In a first aspect, the present invention provides a laundry washing control method, comprising:

[0019] Pre-establishing a mapping relationship between clothing stain images and washing programs;

[0020] Collecting stain images of clothes to be washed;

[0021] Determining a washing procedure based on the mapping relationship and the stain image of the laundry to be washed;

[0022] The washing machine is controlled to perform washing according to the washing program.

[0023] Furthermore, the establishing of a mapping relationship between the clothing stain image and the washing program includes:

[0024] Collect different clothing stain images;

[0025] A corresponding washing program is determined according to the stain image.

[0026] Furthermore, collecting different clothing stain images includes:

[0027] Collect clothing stain images of clothes of different materials and different types of stains.

[0028] Furthermore, the collecting of different clothing stain images also includes:

[0029] Collect clothing stain images with different stain areas, degrees of penetration into clothing, and stain residence time.

[0030] Further, the determining of the washing procedure comprises:

[0031] Determine wash time, amount of detergent, and type of detergent.

[0032] Furthermore, after controlling the washing machine to perform a washing step according to the washing program, the method further comprises:

[0033] Get the user's evaluation of the washing effect.

[0034] Furthermore, after the step of obtaining the user's evaluation of the current washing effect, the method further includes:

[0035] According to the evaluation, the mapping relationship is adjusted.

[0036] In a second aspect, the present invention provides a control device comprising a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the clothing washing control method described in any one of the technical solutions of the above-mentioned clothing washing control method.

[0037] In a third aspect, the present invention provides a laundry washing system, comprising:

[0038] An image recognition device for collecting images of stains on clothes to be washed;

[0039] The control device;

[0040] A washing machine for washing according to a washing program.

[0041] In a fourth aspect, the present invention provides a computer-readable storage medium storing a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute the clothing washing control method described in any one of the technical solutions of the above-mentioned clothing washing control method.

[0042] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0043] In implementing the technical solution of the present invention, a washing program that matches the stains on the clothes to be washed can be found most efficiently, avoiding the problem of insufficient stain cleaning caused by users selecting their own programs.

[0044] The present invention enables users to select corresponding washing programs for different stains during the process of washing clothes, thereby achieving more targeted washing, improving user experience, and improving the washing effect of stains.

[0045] The present invention can continuously adjust and improve the washing program according to user feedback, thereby improving the washing effect and user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In addition, similar numbers in the figures are used to represent similar components, among which:

[0047] Figure 1 is a schematic flow chart of main steps of a method for controlling laundry washing according to an embodiment of the present invention;

[0048] Figure 2 is a schematic flow chart of main steps for establishing a mapping relationship between a clothing stain image and a washing program according to an embodiment of the present invention;

[0049] Figure 3 is a flow chart of a step of obtaining a user's evaluation of the washing effect according to an embodiment of the present invention;

[0050] Figure 4 is a flowchart diagram including the step of adjusting the mapping relationship according to the evaluation according to an embodiment of the present invention;

[0051] Figure 5 is a schematic flow chart of main steps of a method for controlling laundry washing according to an application scenario of the present invention;

[0052] Figure 6 It is a schematic diagram of the main structure block diagram of a clothes washing system according to the present invention. DETAILED DESCRIPTION

[0053] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0054] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, and memories, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program codes, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and the like. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B", and may include only A, only B, or A and B. The singular terms "one" and "the" may also include plural forms.

[0055] The present invention provides a laundry washing control method, system, control device and medium, referring to Figure 1 ,include:

[0056] S100, pre-establishing a mapping relationship between a clothing stain image and a washing program;

[0057] S200, collecting stain images of the clothes to be washed;

[0058] S300, determining a washing procedure based on the mapping relationship and the stain image of the laundry to be washed;

[0059] S400, controlling the washing machine to wash according to the washing program.

[0060] The present invention firstly explores which washing program can achieve the best washing effect without damaging the clothing material for different clothing stains through preliminary experiments and other means, and then matches the clothing stains with specific washing programs. Thus, a mapping relationship between clothing stain images and washing programs is established, forming a database of which washing programs are used for different clothing stains.

[0061] During the actual washing process, the washing machine collects the stain image at the stain position of the clothes to be washed, compares the actual collected stain image of the clothes to be washed with the stain image in the pre-established database, finds the stain image in the database that is closest to the stain image of the clothes to be washed, and uses the washing program corresponding to the closest stain image as the actual washing program for washing. In this way, the washing method that matches the stain of the clothes to be washed can be found most efficiently, that is, the washing program, eliminating the problem of users selecting programs by themselves, which leads to insufficient stain cleaning.

[0062] Image recognition technology is used to compare the actual collected stain images of the clothes to be washed with the stain images in the pre-established database to find the most similar images. Image recognition technology is a method of identifying and distinguishing different types of images through computer vision technology. In the laundry industry, this technology can be used to identify different types of stains to determine the best washing method. For example:

[0063] Feature extraction: For each stain image, it is necessary to extract key feature points in the image, such as color, shape, size, etc. These feature points can be used to compare the stains on the clothes to be washed with the stains in the database to determine which stain is more suitable for washing. Calculate image feature points: For each image, it is necessary to calculate its feature points, which usually include color, shape, size, etc. These feature points can be used to compare the stains on the clothes to be washed with the stains in the database.

[0064] Calculate image similarity: For two images, we need to calculate their similarity, usually using algorithms such as Euclidean distance or cosine similarity. These similarities can be used to determine the degree of similarity between two images.

[0065] Analyze image features: For each image, you need to analyze its features to determine which features are most important for cleaning stains. For example, if color and shape are very important for cleaning stains, you need to focus on these features.

[0066] Pattern recognition: For each stain image, pattern recognition is required to determine the type and extent of the stain.

[0067] Artificial Intelligence: Machine learning algorithms can be used to train models to recognize different types of stains. For example, deep learning algorithms can be used to train models to select the best washing method based on the type and severity of the stain.

[0068] Data enhancement: To improve recognition accuracy, data enhancement techniques can be used to increase the amount of training data. For example, data enhancement techniques such as rotation, scaling, flipping, and blurring can be used to increase the amount of training data and improve recognition accuracy.

[0069] In one embodiment, referring to Figure 2 The establishment of a mapping relationship between the clothing stain image and the washing program includes:

[0070] S110, collecting different clothing stain images;

[0071] S120, determining a corresponding washing procedure according to the stain image.

[0072] Since this step is to establish a database, the database includes several sample images, each sample image is a stain image at a stain position on a piece of clothing, and each sample image corresponds to a washing program corresponding to the sample image. The stains in the sample image can be effectively cleaned by using the washing program.

[0073] Therefore, the more samples there are in the database, the easier it is to find sample images with higher similarity to the stain images of the clothes to be washed during the image recognition and comparison process before actual washing.

[0074] The method for establishing a mapping relationship in this embodiment is an experience accumulation method, which can be achieved through continuous summarization and optimization.

[0075] The mapping relationship between the clothing stain image and the washing program can also be established in advance by other means. In one application scenario, the mapping relationship between clothing stains and washing programs can be established by classifying and coding clothing stains and then matching the stains with the corresponding washing programs. This method requires systematic classification of clothing stains and establishing a mapping relationship between stains and washing programs.

[0076] In another application scenario, the mapping relationship between clothing stains and washing programs can be established by creating a clothing stain database and a washing program database, and then matching the stains with the corresponding washing programs. This method requires the establishment of a mapping relationship between stains and washing programs, and the storage and management in the database.

[0077] In another application scenario, the mapping relationship between clothing stains and washing programs can be established by training a machine learning model. First, a large amount of data on clothing stains and washing programs is collected, and then the model is trained using this data so that it can automatically match the corresponding washing program according to the stain type. This artificial intelligence method requires a large amount of data and advanced machine learning technology.

[0078] In one embodiment, collecting different clothing stain images includes:

[0079] Collect clothing stain images of clothes of different materials and different types of stains.

[0080] Different Types of Stains Types of stains, such as oil stains, wine stains, blood stains, sweat stains, dust, food residues, etc.

[0081] Clothes made of different materials such as cotton, linen, wool, chemical fiber, etc.

[0082] When it comes to cleaning stains on clothes, clothes of different materials have different degrees of adhesion to stains and the difficulty of cleaning them, for example:

[0083] Fabric clothing: Stains on fabric clothing are more difficult to remove because fabric clothing is thicker and stains are more difficult to remove. However, some special types of stains, such as ink and ballpoint pen, may be easier to remove.

[0084] Wool: Wool stain removal requires extra care because wool is soft and easily damaged. Some special stains, such as dog and cat hair, may be easier to clean. However, for more stubborn stains, you may need to use a professional wool cleaner and washing cycle.

[0085] Synthetic clothing: Synthetic clothing is more easily damaged, and some special stains, such as ink and oil stains on the surface of some synthetic fibers, may be easier to clean. However, for more stubborn stains, you may need to use a professional synthetic fiber cleaner and washing program to clean.

[0086] Some stains, such as oil and ink, may be easily removed. However, some stubborn stains, such as dirt and grime, may require more advanced detergents and washing programs. When washing clothes, different cleaning methods should be used according to the different materials of the clothes to avoid damage to the clothes and inadequate cleaning of stains.

[0087] In one embodiment, collecting different clothing stain images further includes:

[0088] Collect data on clothes with different stain areas, degree of penetration into clothes, and stain residence time.

[0089] Object stain image.

[0090] Stain area: refers to the area of ​​the clothing surface covered by the stain.

[0091] Degree of penetration into clothing: refers to how deeply the stain has penetrated into the clothing.

[0092] Stain residence time: refers to the time from when the stain is attached to when it is accurately cleaned.

[0093] Different stain areas have different effects on the washing program. The larger the stain area, the larger the area that needs to be cleaned, because the cleaning area that needs to be considered will also increase accordingly.

[0094] Different degrees of penetration into clothing have different effects on the washing process. The deeper the stain penetrates into the clothing, the more effective detergents and methods are needed to clean it because the stain has penetrated deep into the clothing fibers.

[0095] Different stain residence times have different effects on the washing program. The longer the stain stays, the tighter it is bound to the clothing fibers and the more vigorously it requires cleaning.

[0096] The washing procedure is determined to include:

[0097] Determine wash time, amount of detergent, and type of detergent.

[0098] For different stains, choose different washing programs, which can not only protect the clothing material from damage caused by excessive cleaning, but also improve the stain removal effect.

[0099] for example:

[0100] Oil stains are easier to clean because they are grease-based. For example, when cleaning sportswear, underwear, etc., you can use detergents containing oils, such as washing powder or liquid detergents containing surfactants, to remove oil stains.

[0101] For coffee stains, you can use a caffeinated detergent, such as caffeinated laundry detergent or liquid detergent. You can also use hydrogen peroxide to remove coffee stains.

[0102] For iodine stains, use a detergent that contains bleach, such as laundry detergent or liquid detergent with bleach.

[0103] For pen stains, you can use a detergent containing ethanol, such as laundry detergent or liquid detergent containing ethanol.

[0104] Different washing methods and detergents are suitable for different types of stains. If the wrong choice is made, it may damage the clothes or reduce their service life, and it may also cause incomplete and insufficient cleaning.

[0105] Reference Figure 3 After controlling the washing machine to perform a washing step according to the washing program, the method further includes:

[0106] S500: Obtain the user's evaluation of the washing effect.

[0107] By obtaining the user's evaluation of the washing effect each time, it can be known whether the stains on the clothes are washed sufficiently during the washing process.

[0108] In an application scenario, the evaluation may be: very satisfied, satisfied, dissatisfied, etc.

[0109] When the user chooses "very satisfied", it means that the washing program obtained according to the mapping relationship can meet the requirements of washing the stains on the clothes. When the user chooses "unsatisfied", it means that this washing program cannot meet the requirements of thoroughly and fully removing the stains on the clothes. In order to improve user experience and user satisfaction, it is necessary to adjust the washing program for the stains on the clothes to better meet user requirements and achieve better washing results.

[0110] In one embodiment, referring to Figure 4 After the step of obtaining the user's evaluation of the washing effect, the method further includes:

[0111] S600: Adjust the mapping relationship according to the evaluation.

[0112] In an application scenario, refer to Figure 5 , S001: Collect stain images of clothes to be washed, identify the stains and materials of the clothes to be washed through the high-definition camera built into the washing machine, and take a photo of the clothes at the location of the stain that is most difficult to clean A.

[0113] S002: Perform image comparison from the pre-established mapping relationship, compare the image A acquired by the washing machine with the images in the pre-established mapping relationship database, and find the image X that is closest to the image A.

[0114] S003, find the washing program W corresponding to the image X from the mapping relationship. According to the guidance of the mapping relationship, the washing program W can clean the stains in the image X, and further clean the stains in the image A similar to the image X. Therefore, the washing program W is used as the predetermined washing program for this washing.

[0115] S004, the user puts the clothes corresponding to image A into the washing machine and prepares to wash them according to washing program W.

[0116] S005, weighing the clothes to determine the weight of the load.

[0117] S006, finally determining the program parameters according to the washing program W and the load weight.

[0118] S007, the computer board receives program parameters.

[0119] S008, washing machine program automatically adjusted.

[0120] S009, start washing.

[0121] S010, washing is finished.

[0122] S011, mandatory reminder after taking out the clothes, whether the user is satisfied.

[0123] S012: If the user feedback is satisfactory, the washing is finished, indicating that the stain washing can be completed according to the guidance in the mapping relationship.

[0124] S013, if the user feedback is not satisfactory, the user fills in suggestions and adjusts the mapping relationship.

[0125] For example, when a user is dissatisfied, it means that the washing program W cannot fully and thoroughly clean the stains. The background records the stain photos and user suggestions, the background program is upgraded, and the user is recorded.

[0126] Image A is mapped to a more intensive washing program and summarized into a mapping relationship to facilitate the next user selection and execution of the washing machine. In this way, the washing machine can continuously learn and improve based on user feedback to improve user satisfaction.

[0127] The main technical problem solved by the present invention is that users do not select corresponding washing programs for different stains during the process of washing clothes, and thus cannot fully utilize the washing function of the washing machine to wash clothes cleanly and complain that the washing machine is not easy to use.

[0128] The present invention can select specific washing methods for different types of stains, which has the following advantages:

[0129] Improve washing effect: Different types of stains require different detergents and washing methods to be effectively cleaned, which is more targeted.

[0130] Avoid damaging your clothes: Using the wrong washing method can cause your clothes to get damaged or stained, and setting up appropriate washing methods for different types of stains can help prevent this from happening.

[0131] Save energy: The correct washing method can ensure that the detergent can fully play its role and reduce the waste of detergent and water.

[0132] Protect the environment: Correct washing methods can prevent detergent from entering the water source and reduce pollution to the environment.

[0133] Reduce laundry costs: Using wash methods tailored to different types of stains can reduce the amount of detergent and water used, reducing laundry costs.

[0134] Improve the quality of life: Correct washing methods can ensure that clothes are clean, soft and comfortable, and improve people's quality of life.

[0135] Furthermore, the present invention also provides a control device. In one embodiment of the control device according to the present invention, the control device includes a processor and a storage device, the storage device can be configured to store a program for executing the laundry control method of the above method embodiment, and the processor can be configured to execute the program in the storage device, which includes but is not limited to the program for executing the laundry control method of the above method embodiment. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The control device can be a control device device formed by various electronic devices.

[0136] Further, refer to Figure 6 The present invention also provides a clothes washing system, comprising:

[0137] An image recognition device for collecting images of stains on clothes to be washed;

[0138] The control device;

[0139] A washing machine for washing according to a washing program.

[0140] The image recognition device may be a camera disposed on the washing machine, preferably a high-definition camera.

[0141] The image recognition device and the control device are integrated on the washing machine, so that the user only needs to purchase a washing system of the present invention to conveniently complete the entire process of image recognition, washing program selection and washing, without the need for additional supporting equipment. The application range is wide and suitable for promotion and use.

[0142] The clothes washing system of the present invention can intelligently select programs according to the contaminants of different clothes. In one application scenario, a high-definition camera is added to the washing machine. Each time the clothes are washed, the most difficult-to-remove stains on the clothes are taken to the camera for photos before washing. Then, after the control device such as the electric board set on the washing machine receives this information, it can quickly identify the type of stains based on the background big data, that is, the preset mapping relationship, and evaluate the program that needs to be selected for washing such clothes. It can be adjusted intelligently on the panel. After the parameters are adjusted in place, the user puts in the clothes and starts washing.

[0143] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art can understand that in order to achieve the effects of the present invention, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present invention.

[0144] It is understood by those skilled in the art that the present invention implements all or part of the processes in the method of the above embodiment, and can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0145] Furthermore, the present invention also provides a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium can be configured to store a program for executing the laundry control method of the above-mentioned method embodiment, and the program can be loaded and run by the processor to implement the above-mentioned laundry control method. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present invention is a non-temporary computer-readable storage medium.

[0146] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present invention, the physical devices corresponding to these modules may be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only schematic.

[0147] Those skilled in the art will appreciate that the modules in the device can be adaptively split or merged. Such splitting or merging of specific modules will not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or merging will fall within the protection scope of the present invention.

[0148] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for controlling laundry washing, characterized in that: include: Pre-establishing a mapping relationship between clothing stain images and washing programs; Collecting stain images of clothes to be washed; Determining a washing procedure based on the mapping relationship and the stain image of the laundry to be washed; The washing machine is controlled to perform washing according to the washing program.

2. The method according to claim 1, characterized in that: The step of establishing a mapping relationship between the clothing stain image and the washing program includes: Collect different clothing stain images; A corresponding washing program is determined according to the stain image.

3. The method according to claim 2, characterized in that The collecting of different clothing stain images comprises: Collect clothing stain images of clothes of different materials and different types of stains.

4. The method according to claim 3, characterized in that The collecting of different clothing stain images also includes: Collect clothing stain images with different stain areas, degrees of penetration into clothing, and stain residence time.

5. The method according to claim 1 or 2, characterized in that: The washing procedure is determined to include: Determine wash time, amount of detergent, and type of detergent.

6. The method according to claim 1, characterized in that After controlling the washing machine to perform a washing step according to the washing program, the method further includes: Get the user's evaluation of the washing effect.

7. The method according to claim 6, characterized in that After the step of obtaining the user's evaluation of the current washing effect, the method further includes: According to the evaluation, the mapping relationship is adjusted.

8. A control device, comprising a processor and a storage device, wherein the storage device is suitable for storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by the processor to execute the laundry washing control method according to any one of claims 1 to 7.

9. A clothes washing system, characterized in that: include: An image recognition device for collecting images of stains on clothes to be washed; The control device according to claim 8; A washing machine for washing according to a washing program.

10. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the laundry washing control method according to any one of claims 1 to 7.

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