Method for laundry care control, electronic device and laundry equipment

Abstract

The embodiment of the application discloses a nursing control method of a washing machine, an electronic device and a washing device, and belongs to the technical field of washing machine control. The method comprises the following steps: obtaining the washing type and the clothing state information of the clothing after washing, wherein the clothing state information comprises the clothing weight of the clothing; inputting the user clothing taking interval time, the clothing weight and the washing type into a nursing start time calculation model to obtain the nursing start time; determining the nursing operation duration and the nursing parameters of the clothing nursing according to the clothing state information; and performing the nursing operation at the nursing start time according to the nursing operation duration and the nursing parameters. The embodiment of the application can dynamically adjust the nursing parameters, the duration and the start time of the nursing by using the clothing state information, so as to realize the precise and personalized nursing control. Not only the possibility of odor generated by the clothing in the inner drum of the washing machine is effectively reduced, but also the intelligent level and the sanitary performance of the device are significantly improved, and the use experience of the user is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of washing machine control, in particular to a nursing control method of a washing machine, an electronic device and a washing device. BACKGROUND

[0002] With the rapid development of modern social economy and the significant improvement of residents' living standards, the gradual perfection of the smart home ecosystem makes the washing machine, as an efficient, convenient and intelligent household appliance, its functions and performance continue to upgrade, has become one of the indispensable smart home appliances in modern families.

[0003] However, in the actual use of the washing machine, after the completion of the laundry, since the user usually does not immediately perform the airing process, the clothes left in the inner drum are prone to cause odor due to factors such as residual moisture, environmental temperature and humidity conditions, and bacterial growth. This problem is particularly pronounced in humid or hot environments. SUMMARY

[0004] The embodiments of the present application provide a nursing control method of a washing machine, an electronic device and a washing device to at least solve the technical problem of odor caused by factors such as residual moisture, environmental temperature and humidity conditions, and bacterial growth after the completion of the laundry in the related art.

[0005] According to a first aspect of the embodiments of the present application, a nursing control method of a washing machine is provided, comprising:

[0006] obtaining the washing type and the laundry state information of the laundry after washing, the laundry state information at least including the laundry weight of the laundry;

[0007] inputting the user's clothes taking interval time, the laundry weight and the washing type into a nursing start time calculation model to obtain the nursing start time, the user's clothes taking interval time being determined based on the user's historical clothes taking time data;

[0008] determining the nursing running time and the nursing parameters for the laundry nursing according to the laundry state information;

[0009] performing the nursing operation at the nursing start time according to the nursing running time and the nursing parameters.

[0010] In combination with the first aspect, in an optional implementation manner of the embodiments of the present application, the laundry state information includes the temperature, the humidity and the dirtiness degree of the laundry, and determining the nursing running time and the nursing parameters for the laundry nursing according to the laundry state information comprises:

[0011] determining the nursing running time according to the dirtiness degree;

[0012] determining the nursing parameters according to the temperature and the humidity.

[0013] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the nursing start time calculation model is trained in the following manner:

[0014] obtaining model input data, the model input data including historical clothes weight, historical washing type and historical clothes taking time data;

[0015] determining the interval time of optimal start of nursing corresponding to the record of the model input data as the training label of the model input data;

[0016] taking the model input data as input, comparing the training label and the target nursing start time output by the nursing start time calculation model;

[0017] training the nursing start time calculation model based on the difference between the training label and the target nursing start time.

[0018] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the dirtiness degree is determined based on the pH value of the clothes, when the pH value of the clothes is in a first pH value interval, the dirtiness degree is determined as a first degree, when the pH value of the clothes is in a second pH value interval, the dirtiness degree is determined as a second degree, and when the pH value of the clothes is in a third pH value interval, the dirtiness degree is determined as a third degree, wherein the dirtiness degrees corresponding to the first degree, the second degree and the third degree decrease in turn; and determining the nursing running time according to the dirtiness degree, comprising:

[0019] when the dirtiness degree is the first degree, determining the nursing running time as a first time length;

[0020] when the dirtiness degree is the second degree, determining the nursing running time as a second time length;

[0021] when the dirtiness degree is the third degree, determining the nursing running time as a third time length, wherein the first time length is greater than the second time length, and the second time length is greater than the third time length.

[0022] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the nursing parameter is determined according to the temperature and the humidity, comprising:

[0023] classifying the clothes according to the temperature and the humidity;

[0024] determining the nursing parameter based on the classification result and a preset nursing parameter reference table.

[0025] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the humidity is the humidity of the clothes, and the clothes are classified according to the temperature and the humidity, comprising:

[0026] obtaining the environmental humidity of the environment around the clothes;

[0027] determine a humidity type of the laundry according to the laundry humidity, the humidity type comprising at least a high humidity type, a moderate humidity type and a low humidity type;

[0028] determine an ambient temperature and humidity type according to the ambient humidity and temperature, the ambient temperature and humidity type comprising at least a high temperature and high humidity type, a high temperature and low humidity type, a low temperature and high humidity type, a low temperature and low humidity type and a moderate type;

[0029] classify the laundry in combination with the humidity type and the ambient temperature and humidity type.

[0030] In combination with the first aspect, in an optional implementation manner of the embodiments of the present application, the method for determining the humidity type of the laundry according to the laundry humidity comprises the following steps.

[0031] if the laundry humidity is greater than or equal to the first laundry humidity threshold value, the humidity type is determined as the high humidity type;

[0032] if the laundry humidity is greater than the second laundry humidity threshold value and less than the first laundry humidity threshold value, the humidity type is determined as the moderate humidity type;

[0033] if the laundry humidity is less than or equal to the second laundry humidity threshold value, the humidity type is determined as the low humidity type.

[0034] In combination with the first aspect, in an optional implementation manner of the embodiments of the present application, the first laundry humidity threshold value is 60%, and the second laundry humidity threshold value is 45%.

[0035] In combination with the first aspect, in an optional implementation manner of the embodiments of the present application, the method for determining the care parameter based on the classification result and the preset care parameter reference table comprises the following steps.

[0036] query the corresponding care temperature, fan speed and fan opening duration from the preset care parameter reference table according to the classification result;

[0037] determine the care temperature, fan speed and fan opening duration as the care parameter.

[0038] In combination with the first aspect, in an optional implementation manner of the embodiments of the present application, according to the care running time length and the care parameter, after the care operation is executed at the care starting time, the method further comprises the following steps.

[0039] monitor the change of the laundry humidity in real time during the care process, and stop the care operation when the laundry humidity decreases to below the preset threshold value;

[0040] determine that the user needs to take out the laundry or needs to stop the care operation, and immediately terminate the care operation and unlock the washing machine door.

[0041] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the washing type of the laundry after washing and the laundry state information are acquired, and the laundry state information includes the laundry weight of the laundry, including:

[0042] determining whether the laundry in the drum is taken out after the washing program ends;

[0043] when the laundry is not taken out, acquiring the washing type of the laundry and the laundry state information.

[0044] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the user clothes taking interval time, the laundry weight and the washing type are input to the care start time calculation model to obtain the care start time, including:

[0045] determining whether the laundry is taken out after the washing program ends according to the laundry weight;

[0046] when the laundry is not taken out, inputting the user clothes taking interval time, the laundry weight and the washing type to the care start time calculation model to obtain the care start time.

[0047] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the method further includes:

[0048] acquiring target laundry state information when the care operation is performed;

[0049] adjusting the care parameters according to the target laundry state information.

[0050] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the method further includes:

[0051] detecting environmental information during the care operation;

[0052] when the distance to the care end is a preset time length, determining whether to extend the care running time length according to the environmental information and adjusting the care parameters accordingly;

[0053] if yes, extending the care time length and continuing to perform the care program according to the adjusted preset care parameters.

[0054] With reference to the first aspect, in an optional implementation of the embodiments of the present application, the method further includes:

[0055] detecting the humidity information of the laundry in the drum at a certain time interval multiple times during the care process;

[0056] when the multiple times of detected humidity information indicates that the care effect does not reach a preset effect;

[0057] adjusting the care parameters and extending the care time length.

[0058] The laundry machine nursing control method provided by the embodiment of the present application first acquires the laundry state information after the laundry is washed, then determines the nursing start time, the nursing operation duration and the nursing parameters for the laundry nursing according to the laundry state information, and finally executes the nursing operation according to the nursing operation duration and the nursing parameters at the nursing start time. Through the scheme, the nursing parameters, the duration and the start time of the nursing are dynamically adjusted by using the laundry state information, so that the precise and personalized nursing control is realized. Not only the possibility of producing odor of the laundry in the inner drum of the laundry machine is effectively reduced, but also the intelligent level and the sanitary performance of the equipment are significantly improved, and the use experience of the user is improved.

[0059] According to a second aspect of the embodiment of the present application, a laundry machine nursing control device is provided, comprising:

[0060] The acquisition unit is configured to acquire the washing type and the laundry state information of the laundry after the laundry is washed, and the laundry state information comprises the laundry weight of the laundry.

[0061] The first determination unit is configured to input the user laundry taking interval time, the laundry weight and the washing type into a nursing start time calculation model to obtain the nursing start time, and the user laundry taking interval time is determined based on the historical laundry taking time data of the user.

[0062] The second determination unit is configured to determine the nursing operation duration and the nursing parameters for the laundry nursing according to the laundry state information.

[0063] The processing unit is configured to execute the nursing operation at the nursing start time according to the nursing operation duration and the nursing parameters.

[0064] According to a third aspect of the embodiment of the present application, the present application provides an electronic device, comprising a memory and a processor, which are communicatively connected with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the laundry machine nursing control method of the first aspect or any of the corresponding embodiments.

[0065] According to a fourth aspect of the embodiment of the present application, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are run by a processor to implement the laundry machine nursing control method of any of the above aspects.

[0066] According to a fifth aspect, the present specification provides a computer program product or computer program, the computer program product comprising a computer program stored in a computer readable storage medium; the processor of the computer device reads the computer program from the computer readable storage medium, and the processor executes the computer program to implement the care control method of the washing machine according to any one of the above aspects.

[0067] The technical effects obtained by the second aspect to the fifth aspect are similar to the technical effects obtained by the corresponding technical means in the first aspect, and will not be described here. BRIEF DESCRIPTION OF DRAWINGS

[0068] Figure 1 is a flowchart of the care control method of the washing machine provided by the embodiments of the present application;

[0069] Figure 2 is a specific flowchart of the care control method of the washing machine provided by the embodiments of the present application;

[0070] Figure 3 is a structure diagram of the care start time calculation model provided by the embodiments of the present application;

[0071] Figure 4 is a classification result diagram provided by the embodiments of the present application;

[0072] Figure 5 is a structure diagram of the care control device of the washing machine provided by the embodiments of the present application;

[0073] Figure 6 is a structure diagram of the electronic device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0074] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the present application.

[0075] It should be understood that "multiple" mentioned herein refers to two or more. In the description of the embodiments of the present application, " / " represents the meaning of or, for example, A / B can represent A or B; "and / or" herein is only a description of the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent: A exists alone, A and B exist together, and B exists alone. In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, "first", "second" and the like are used to distinguish the same items or similar items with basically the same function and role. The skilled in the art can understand that "first", "second" and the like do not limit the quantity and execution order, and "first", "second" and the like do not necessarily mean different.

[0076] In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device containing a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0077] As in the background art, with the rapid development of modern social economy and the significant improvement of residents' living standards, the gradual perfection of the smart home ecosystem makes the washing machine as a kind of efficient, convenient and intelligent household appliance, its function and performance continue to upgrade, has become one of the indispensable smart home appliances in modern family.

[0078] However, in the actual use of the washing machine, after the completion of the laundry, since the user usually does not immediately perform the airing process, the clothes left in the inner drum are prone to cause odor due to factors such as residual moisture, environmental temperature and humidity conditions, and bacterial growth. This problem is particularly pronounced in humid or hot environments.

[0079] Therefore, there is an urgent need in the market for an innovative solution to achieve precise control of the care parameters, thereby effectively reducing the risk of odor generation in the inner drum after the completion of the laundry, improving user experience and the hygiene performance of the device.

[0080] Based on this, the embodiments of the present application provide a care control method of a washing machine, referring to the flowchart of the care control method of the washing machine shown in Figure 1 The method includes the following processing procedures.

[0081] S101: Obtain the state information of the laundry after washing.

[0082] In a specific implementation, after the washing machine performs a series of processes such as cleaning and drying the clothes, the user may not be able to take out the processed clothes in time. At this time, the clothes state information of the clothes is obtained, which can include various contents, such as the type and weight of the clothes, the effect of cleaning, and other clothes state information of the clothes itself, and can also include environmental clothes state information of the environment in which the clothes are located, such as environmental temperature and humidity, to provide data support for subsequent decision of detailed parameters of care.

[0083] It should be noted that the clothes state information can be obtained when the method is to be executed, or the data can be called when the method is executed after being obtained in advance, or the average value of the clothes state information obtained for a period of time. The specific acquisition method is not limited by the embodiments of the present disclosure.

[0084] Before the execution of the present step, it can also be judged whether the clothes are taken out. If the clothes have been taken out, the subsequent steps do not need to be continued. Of course, whether the clothes are taken out can also be judged by the weight of the clothes in the clothes state information. For example, when the weight of the clothes obtained by the current weighing is less than the judgment threshold for judging whether the clothes exist, it is considered that the clothes have been taken out.

[0085] S102: According to the clothes state information, the care start time, the care running time and the care parameters of the clothes care are determined.

[0086] In a specific implementation, according to the clothes state information determined in the above steps, each parameter corresponding to the care of the clothes is determined, including the care start time, the care running time and the care parameters. For the decision of each item, one or more data in the clothes state information may be required.

[0087] S103: According to the care running time and the care parameters, the care operation is performed at the care start time.

[0088] In a specific implementation, after the care start time, the care running time and the care parameters are determined, the care operation is performed according to the care running time and the care parameters at the care start time, thereby reducing the possibility of producing odor in the inner drum.

[0089] By using the present embodiment, the clothes state information after washing the clothes is first obtained, then the care start time, the care running time and the care parameters of the clothes care are determined according to the clothes state information, and finally the care operation is performed at the care start time according to the care running time and the care parameters. Through the present scheme, the care parameters, the time length and the start time of the care are dynamically adjusted by using the clothes state information, so as to realize the precise and personalized care control. Not only the possibility of producing odor in the inner drum of the washing machine is effectively reduced, but also the intelligent level and the sanitary performance of the equipment are significantly improved, and the use experience of the user is improved.

[0090] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments. The steps shown in the related flowcharts can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from here. In other words, the order of the steps described in the foregoing embodiments is only an example, and reasonable adjustment of the order of the steps based on the content of the embodiments of the present application is also within the protection scope of the embodiments of the present application.

[0091] As shown in the laundry machine care control method specifically includes the following processing process: Figure 2

[0092] S201: Obtain the state information of the laundry after washing.

[0093] In this embodiment, the care of the laundry can specifically include heating and ventilation operations, and the state information of the laundry includes the washing type of the laundry, the weight of the laundry, the dirtiness, the temperature, and the humidity. The temperature is the ambient temperature, and the humidity can include the ambient humidity and the laundry humidity. The overall structure of the laundry machine in this embodiment can include an inner drum, a humidity sensor, a temperature and humidity sensor, a fan, and a heating device.

[0094] In specific implementation, the inner drum of the laundry machine is used to accommodate the laundry, and serves as the main space for storing the laundry after washing. The humidity sensor is installed on the inner drum wall and directly contacts the laundry to measure the laundry humidity data. The temperature and humidity sensor is distributed on the outside of the top and side of the outer shell of the laundry machine, and is used to collect the ambient temperature and humidity, respectively. The fan and the heating device are located inside the laundry machine near the inner drum, and are used to adjust the air flow and temperature in the inner drum according to the set parameters.

[0095] In actual operation, first, the humidity of the laundry is collected by the humidity sensor. The humidity sensor can use a high-sensitivity capacitive humidity detection element, which can sense the amount of water residue on the surface of the laundry in real time. Specifically, the humidity sensor is installed at a specific position on the inner drum wall to ensure stable contact with the laundry and not to affect the normal rotation of the laundry. At the same time, the temperature and humidity sensors distributed on the outside of the top and side of the outer shell of the laundry machine work synchronously to collect the current ambient temperature and humidity. Preferably, these sensors are fixed to the surface of the outer shell by screws and are protected by a waterproof sealing ring to avoid external moisture interfering with their measurement accuracy.

[0096] S202: Determine the care start time according to the weight of the laundry and the washing type.

[0097] ​In specific implementation, the user's historical clothing retrieval time data is first obtained, and the user's clothing retrieval interval time is determined based on this. Then, the user's clothing retrieval interval time, clothing weight and washing type are input into the care start time calculation model to obtain the care start time. The user's clothing retrieval interval can be the average of the user's historical clothing retrieval time, or it can be obtained through other calculation methods that best reflect the user's frequent clothing retrieval habits, such as the median value. This disclosure embodiment does not limit this.

[0098] User's historical garment retrieval time data can be recorded by the washing machine's built-in memory or retrieved from the cloud. This data is used to calculate the user's average garment retrieval interval. Then, a pre-trained care start-up time calculation model is used, combined with garment weight and wash type, to determine the care start-up time. For example, a shorter care start-up time is set for lighter garments and quick wash mode, while a longer care start-up time is set for heavier garments and deep wash mode. This ensures that the care function neither starts too early, wasting resources, nor starts too late, affecting its effectiveness.

[0099] For the nursing initiation time calculation model, a deep neural network can be used, and its structure diagram is as follows: Figure 3 As shown, by analyzing input parameters such as clothing weight, washing type, and user-preferred clothing removal time, the system intelligently optimizes the interval between activations of the care mode. The neural network model possesses powerful nonlinear modeling and learning capabilities, effectively capturing the complex relationships between input and output parameters. By training the neural network model, dynamic adjustment of the care mode activation interval can be achieved, thereby improving care effectiveness and reducing resource consumption. The model is trained in the following manner:

[0100] First, the model input data is acquired. Specifically, the input data of the weight of the clothes, the washing type, and the user's habit of taking out the clothes are collected, and the corresponding optimal interval time for starting the care is recorded as the output parameter. The washing type is determined according to the program selected by the user. The weight of the clothes is obtained by weighing the washing machine. If it is the first use, that is, there is no historical taking-out time of the user, only an interval time for starting the care is preset according to the washing type and the weight of the clothes. This interval time can be obtained through multiple experiments. When the weight of the clothes is fixed, the time for starting the care of the clothes of different washing types is different, so the interval time for starting the care is different. Similarly, when the washing type is fixed, the interval time for starting the care of clothes of different weights is also different. The optimal interval time for starting the care is determined by comprehensively considering the correlation between the washing type and the weight of the clothes. When the user takes out the clothes, the time interval from washing the clothes to taking out the clothes is recorded as the historical interval time of the user for taking out the clothes. The optimal interval time for starting the care in the future also needs to consider the user's habit of taking out the clothes to avoid long waiting time for the clothes. The average value of the historical interval time of the user for taking out the clothes is input into the model, and the optimal interval time for starting the care in the future is obtained by comprehensively considering the washing type and the weight of the clothes.

[0101] In one example, the preset interval time for starting the care of different types and different weights of clothes is as shown in the following table:

[0102]

[0103] After the input data is cleaned and preprocessed, the model is trained. Specifically, the optimal interval time for starting the care recorded by the model input data is determined as the training label of the model input data, and then the model input data is input as the input. The target care start time output by the care start time calculation model is compared with the training label, and finally the care start time calculation model is trained based on the difference between the training label and the target care start time. In the model training process, the washing type, the weight of the clothes, and the average interval time of the user's historical taking-out are all from the parameter collection stage designed in the early stage. This stage covers a large number of repetitive experiments and systematic data recording work, aiming to comprehensively capture and quantify the corresponding relationship between the weight of the clothes, the washing type, the taking-out time, and the optimal interval time under different conditions. Through these experiments and data recording, the mapping relationship between the taking-out time, the weight of the clothes, and the optimal interval time can be accurately established, providing a solid data foundation for subsequent model training, so as to ensure that the model can more accurately set the optimal interval time.

[0104] In practical applications, the model learns and reasons by acquiring the weight of clothes and the data of the taking-out time of the user in real time, in combination with historical operation data, and outputs the optimal care mode start interval time. This method can adaptively adjust the start time of the care mode according to different clothes weights, the washing type selected by the user, and the dynamic changes of the user's taking-out habits, significantly improves the care effect, and optimizes the resource use efficiency.

[0105] In one example, if the washing type selected by the user this time is X, and the weight of the clothes is g, these two parameters are input into the model, the model calculates the optimal care start interval time a according to the average interval time t of the user's historical taking-out and the current X and g. When the user takes out the clothes, the user's taking-out time this time is recorded, and it is input into the model when the clothes are taken out later, the model will continue to learn to calculate the optimal care start interval time next time, and the output result is as shown in the following table:

[0106]

[0107] S203: Determine the care running time according to the dirtiness degree.

[0108] In the specific implementation, in this step, the care running time is determined according to the dirtiness degree of the clothes. As the washing process is completed, the dirtiness degree of the clothes is affected by multiple factors, including the amount of detergent, the weight and material of the clothes, and the different multi-dimensional washing parameters such as the washing program and the washing degree selected by the user, and the dirtiness degree of the clothes will also show significant differences. Specifically, it can be determined by the clarity of the water or the picture containing the surface of the clothes, or the pH value of the water can be used for judgment. In this embodiment, the pH value of the clothes is used to determine the dirtiness degree, specifically, by assembling a pH sensor in the drainage system, the pH value is collected in the last dehydration stage, and the measured value is compared and analyzed with the preset standard interval, to determine the specific running time of the care program. Specifically, when the pH value of the clothes is in the first pH value interval, the dirtiness degree is determined to be the first degree, when the pH value of the clothes is in the second pH value interval, the dirtiness degree is determined to be the second degree, and when the pH value of the clothes is in the third pH value interval, the dirtiness degree is determined to be the third degree. The dirtiness degrees corresponding to the first degree, the second degree and the third degree decrease in turn, and correspondingly, when the dirtiness degree is the first degree, the care running time is determined to be the first time length, when the dirtiness degree is the second degree, the care running time is determined to be the second time length, and when the dirtiness degree is the third degree, the care running time is determined to be the third time length. The first time length is greater than the second time length, and the second time length is greater than the third time length. It should be noted that the specific values of the first pH value interval, the second pH value interval, the third pH value interval, the first time length, the second time length and the third time length can be set according to the requirements, which are not limited in this embodiment.

[0109] In one example, since the pH of the clothes after normal washing is usually in the neutral range of 6-8, the pH in this range indicates that the clothes are clean and less likely to breed bacteria. However, when the pH is outside this range, it may indicate that the clothes are dirty to varying degrees. For example, a pH of 10 may indicate that there is detergent residue on the surface of the clothes, and a pH of 5.5 may indicate that bacteria are breeding or other contaminants are affecting the clothes. Therefore, based on the determination result of the pH, the care operation time is adjusted intelligently: the first pH range is 4.5-5.5 or 9.6-11.5, and the first time length is 60 minutes to ensure sufficient cleaning and sterilization. The second pH range is 5.6-6.5 or 7.6-9.5, and the second time length is 45 minutes. The third pH range is 6.6-7.5, and the third time length is 30 minutes.

[0110] S204: Determine the care parameter according to the temperature and the humidity.

[0111] In a specific implementation, first, the clothes are classified according to the temperature and the humidity, and then the care parameter is determined based on the classification result and a preset care parameter reference table.

[0112] The humidity includes the environmental humidity and the clothes humidity, and the temperature is the environmental temperature. In a specific classification, the clothes humidity type is determined according to the clothes humidity, and the clothes humidity type at least includes a high-humidity type, a moderate-humidity type, and a low-humidity type. The environmental temperature and humidity type is determined according to the environmental humidity and the temperature, and the environmental temperature and humidity type at least includes a high-temperature and high-humidity type, a high-temperature and low-humidity type, a low-temperature and high-humidity type, a low-temperature and low-humidity type, and a moderate type. Finally, the clothes are classified by combining the clothes humidity type and the environmental temperature and humidity type.

[0113] For the humidity type, if the clothing humidity is greater than or equal to a first clothing humidity threshold, the humidity type is determined to be a high humidity type, if the clothing humidity is greater than a second clothing humidity threshold and less than the first clothing humidity threshold, the humidity type is determined to be a moderate humidity type, and if the clothing humidity is less than or equal to the second clothing humidity threshold, the humidity type is determined to be a low humidity type. The values of the first clothing humidity threshold and the second clothing humidity threshold can be set as needed, and the embodiments of the present disclosure do not limit this. In one example, the first clothing humidity threshold and the second clothing humidity threshold are 60 and 45 respectively, that is, if the clothing humidity is greater than 60%, it is determined to be high humidity clothing; if it is between 45% and 60%, it is determined to be moderate humidity clothing; and if it is less than 45%, it is determined to be low humidity clothing. This classification process is completed by an internal algorithm to ensure that the classification result is accurate and reliable. Subsequently, the environmental temperature and humidity are compared and analyzed with the preset interval to divide the environment into five types, including high temperature and high humidity, high temperature and low humidity, low temperature and high humidity, low temperature and low humidity, and moderate. For example, when the environmental temperature is greater than 25°C and the humidity is greater than 60%, it is determined to be a high temperature and high humidity environment; when the environmental temperature is greater than 25°C and the humidity is less than 30%, it is determined to be a high temperature and low humidity environment. This hierarchical classification provides a basis for the subsequent setting of the care parameters.

[0114] Finally, the classification result is determined in combination with the humidity type and the environmental temperature and humidity type, and the corresponding care temperature and fan speed are queried from the preset care parameter reference table according to the classification result, and the care temperature and fan speed are determined as the care parameters. The temperature and humidity of the environment and the clothing humidity are key factors in determining the clothing care parameters (temperature, speed and duration of fan opening). In a high temperature and high humidity environment, a higher temperature is required to improve the sterilization effect, and the duration of fan opening and the speed are increased to remove moisture; in a low temperature and low humidity environment, the temperature and speed are reduced to protect the clothing material. High humidity clothing requires increased care temperature and increased duration of fan opening to dry quickly and prevent mold; low humidity clothing can use mild care conditions.

[0115] In one example, it is divided into a to o categories, and the classification method is as shown in Figure 4 The corresponding heating temperature, speed and duration of fan opening are shown in the following table.

[0116]

[0117] S205: Perform the care operation at the care start time according to the care running time and the care parameters.

[0118] In specific implementation, after the care start time, the care running time and the care parameters are determined, the care operation is performed at the care start time according to the care running time and the care parameters, thereby reducing the possibility of odor generation in the inner drum.

[0119] In this step, the change of the clothes humidity can also be monitored in real time during the care process, and the care operation is stopped when the clothes humidity falls below the preset threshold. When it is determined that the user needs to take out the clothes or needs to stop the care operation, the care operation is immediately terminated and the washing machine door is unlocked.

[0120] In one example, after the washing machine completes a normal washing program, the clothes humidity data of 55% is collected by directly contacting the surface of the clothes through a high-sensitivity capacitive detection element. It is determined that the current clothes belong to the moderate wet category. At the same time, the temperature and humidity sensors distributed on the top and side of the washing machine shell work synchronously, and the data of 30℃ and 70% humidity of the environment temperature and humidity are collected respectively, and the current environment is determined to be high temperature and high humidity type.

[0121] At the same time, the care start time is further optimized in combination with the user's clothes taking habit data. After analysis and calculation, the average clothes taking interval time of the user is 1 hour, and the care start time is 30 minutes.

[0122] When the care start time arrives, the corresponding parameters are queried from the preset care parameter table. For the moderate wet clothes in the high temperature and high humidity environment, the system sets the care temperature to 45℃, the fan speed to 600 revolutions per minute, and the fan opening duration to 20 minutes. These parameters are transmitted to the heating device and the fan through the output interface of the control system to drive them to operate according to the set values. The heating device is located near the inner drum inside the washing machine, which receives the control signal through the power line and heats the air in the inner drum; the fan adjusts the air flow in the inner drum according to the set speed and duration, so as to accelerate the drying of the clothes and inhibit the growth of bacteria.

[0123] During the execution of the care operation, the humidity sensor sends data to the control system every certain time to monitor the change of the clothes humidity in real time. When it is detected that the clothes humidity falls below 40%, the control system automatically stops the care operation to avoid energy waste and overcare. In addition, a user interaction interface is designed above the front panel of the washing machine, and the user can interrupt the care operation at any time through the touch button. When the user presses the stop button, the control system immediately terminates the care operation and opens the washing machine door through the unlocking mechanism, ensuring that the user can take out the clothes flexibly.

[0124] In this step, the specific care details can also be adjusted according to the execution. In one possible implementation, the care operation is not fixed after it is started. During the care operation, the system continuously or periodically acquires target laundry state information. The target laundry state information can include one or more of the key parameters monitored in real time during the care process, such as laundry humidity, inner drum temperature, ambient temperature, ambient humidity, and the like. The acquisition is dependent on the built-in sensor network of the washing machine (such as the laundry humidity sensor, inner drum temperature sensor, and ambient temperature and humidity sensor). The control system compares and analyzes the target laundry state information acquired in real time with the expected care path or preset threshold set according to the initial laundry state information at the start of the care program. If it is found that the actual state deviates from the expectation (for example, the laundry humidity decreases significantly slower than expected, or the ambient temperature and humidity suddenly change, resulting in reduced care efficiency), the system will dynamically adjust the running care parameters based on preset adjustment rules or algorithms. The adjustment of the care parameters can involve adjusting the care temperature (such as increasing or decreasing the heating power), adjusting the fan speed (such as increasing or decreasing the ventilation intensity), and adjusting the fan on duration (dynamically allocating the fan operation period within the total care time framework). This dynamic adjustment mechanism ensures that the care process can flexibly respond to changes in the actual operating environment, always advancing towards the optimal care effect (such as efficient dehumidification and odor prevention), and avoiding resource waste or insufficient care.

[0125] In another possible implementation, to ensure that the laundry reaches the desired dry and hygienic state at the end of the care program, the system will make a key decision when the care operation is approaching the end. Specifically, the control system will continuously monitor the environmental information, mainly including the ambient temperature and the ambient humidity. When the system detects that the current time is only a preset time length (for example, 5 minutes or 10 minutes) away from the end of the preset care operation time, it will trigger an environmental assessment. The system compares the detected environmental information (especially the ambient humidity) at this moment with the preset threshold or condition. For example, if the ambient humidity at this moment is significantly higher than a certain threshold (such as 70%), it indicates that the external environment is extremely humid, and if the laundry is not taken out in time after the care ends, there is a higher risk of rapid re-moistening and odor growth within the remaining time. In this case, the system will determine that the care operation time needs to be extended. The length of the extended time can be determined by a preset algorithm or a lookup table according to the extent of the ambient humidity exceeding the threshold. At the same time, considering the need to extend the care, the system will adjust the care parameters accordingly. For example, it can increase the fan speed to enhance the ventilation and dehumidification capability, or optimize the fan start-stop strategy within the remaining (including extended) time. The adjusted parameters constitute a new set of preset care parameters. The system then continues to execute the care program according to the extended care time and the adjusted preset care parameters until the new end time point. This mechanism effectively responds to the risks caused by environmental changes in the later stage of the care, and ensures that the care effect is not disturbed by adverse environmental factors.

[0126] In yet another possible implementation, to fine-tune the care process and ensure the desired drying effect is achieved, the system detects the humidity information of the laundry in the drum through the humidity sensor of the inner drum multiple times at preset fixed time intervals (e.g., every 10 minutes, 15 minutes) during the execution of the care operation. Each detection obtains an instantaneous laundry humidity value. The system analyzes the series of humidity detection values obtained in time sequence to determine whether the actual effect of the care meets the expectation. The "care effect does not meet the preset effect" can be defined in various ways, for example: (1) at a certain time point, the laundry humidity does not drop below the target humidity threshold expected at that time point; (2) the laundry humidity drop rate (i.e., the percentage of humidity reduction per unit time) is lower than the preset minimum acceptable rate threshold; (3) consecutive detections show that the humidity drop stagnates or changes little. When the system determines that the care effect does not meet the preset effect based on the humidity information of multiple detections (e.g., the laundry humidity drops too slowly), it immediately takes remedial measures. The measures include adjusting the care parameters, such as increasing the care temperature to accelerate moisture evaporation and increasing the fan speed to enhance air circulation to remove moisture. At the same time, considering that the initially set care duration may not be sufficient for the laundry to reach the target dryness level, the system extends the care duration. The length of the extension can be determined based on the gap between the current humidity and the target humidity and the expected effect of the adjusted care parameters. Through this closed-loop control of periodic monitoring, effect evaluation, and dynamic adjustment of parameters and duration, the system can effectively overcome the care deficiency problem caused by initial state evaluation deviation, environmental interference, or differences in laundry characteristics, significantly improving the reliability and final effect of the care.

[0127] Through this solution, the user laundry taking habit data and the laundry state information are used as input conditions, and the machine learning algorithm is used to optimize the care start time, thereby avoiding the care start instability problem caused by user location or weather data acquisition failure in traditional methods. At the same time, by monitoring the temperature and humidity data of the laundry and the environment in real time, the laundry is scientifically classified, and the care parameters (such as temperature, speed, and fan on duration, etc.) are dynamically adjusted based on the classification result, to realize precise and personalized care control. This process not only effectively reduces the possibility of odor generation of the laundry in the inner drum of the washing machine, but also significantly improves the intelligent level and hygiene performance of the equipment.

[0128] The above illustrates the method embodiments according to the present application, and the present application also provides a care control method and device of a washing machine. Figure 5 is a structural schematic diagram of a care control method and device of a washing machine according to an embodiment of the present application. Referring to Figure 5 , the care control device 700 of the washing machine includes the following modules.

[0129] The acquisition unit 701 is configured to acquire washing type and clothes state information of clothes after washing, wherein the clothes state information comprises clothes weight of the clothes.

[0130] The first determination unit 702 is configured to input the user clothes taking interval time, the clothes weight and the washing type into a care start time calculation model to obtain a care start time, wherein the user clothes taking interval time is determined based on historical clothes taking time data of the user.

[0131] The second determination unit 703 is configured to determine a care operation duration and a care parameter for the clothes care according to the clothes state information.

[0132] The processing unit 704 is configured to perform the care operation at the care start time according to the care operation duration and the care parameter.

[0133] The above describes the device embodiments of the present application. For the specific execution process, technical problems and effects, alternative manners and combination manners of data, terms, names, steps, please refer to the description in the method embodiments, which will not be repeated here.

[0134] The present application also provides a computer program product, which includes computer program instructions, and the computer program instructions make the processor execute the steps in the care control method of the washing machine according to various embodiments of the present application described in the above "Exemplary Method" section of the present application when the computer program instructions are run by the processor.

[0135] The computer program product can be written in any combination of one or more programming languages to perform the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, and conventional procedural programming languages, such as "C" language or similar programming languages.

[0136] The present application also provides a computer readable storage medium, which stores a computer program, and the computer program makes the processor execute the steps in the care control method of the washing machine according to various embodiments of the present application described in the above "Exemplary Method" section of the present application.

[0137] The present application also provides an electronic device, which includes a memory and a processor, and the memory stores the care control method of the washing machine, and the processor is configured to execute the care control method of the washing machine by using the care control method of the washing machine described above.

[0138] Specifically, as Figure 6As shown, the electronic device includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400, and a memory 500. Among them, the communication bus 200 is configured to realize the connection communication between the components. Among them, the user interface 300 can include a display screen, and the external communication interface 400 can include a standard wired interface and a wireless interface. Among them, the memory 500 stores the care control method of the washing machine. Among them, the processor 100 is used to adopt the above method when executing the care control method of the washing machine stored in the memory 500.

[0139] The description of the above computer program product, computer readable storage medium and electronic device is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details of the computer program product, computer readable storage medium and electronic device not disclosed in the present application, please refer to the description of the method embodiments of the present application.

[0140] The sequence numbers or introduction of the embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0141] In several embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.

[0142] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0143] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0144] In the above embodiments, all or part can be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, the computer instructions generate all or part of the processes or functions described in the embodiments of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center through wired (for example: coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example: infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium accessible by a computer, or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be a magnetic medium (for example: floppy disk, hard disk, magnetic tape), an optical medium (for example: digital versatile disc (DVD)), or a semiconductor medium (for example: solid state disk (SSD)), etc. It should be noted that the computer-readable storage medium mentioned in the embodiments of the present application can be a non-volatile storage medium, in other words, it can be a non-transitory storage medium.

[0145] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.), and signals involved in the embodiments of the present application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data need to comply with relevant laws, regulations, and standards of relevant countries and regions. For example, the scene data of the current frame in the three-dimensional virtual scene, the device information of the client, and the scene interaction information involved in the embodiments of the present application are all obtained under sufficient authorization.

[0146] The above only describes the preferred embodiments of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered within the scope of protection of the present application.

Claims

1. A care control method of a washing machine, characterized by, The method comprises: obtaining washing type and clothes state information of the clothes after washing, the clothes state information at least comprising clothes weight of the clothes, and the washing type being determined according to a program selected by a user; inputting user clothes taking interval time, the clothes weight and the washing type into a care start time calculation model to obtain the care start time, the user clothes taking interval time being determined based on historical clothes taking time data of the user; determining care running time and care parameters of the clothes care according to the clothes state information; performing a care operation at the care start time according to the care running time and the care parameters; wherein the care start time calculation model is trained in the following manner: obtaining model input data, the model input data comprising historical clothes weight, historical washing type and historical clothes taking time data; determining the optimal clothes care start interval time corresponding to the record of the model input data as the training label of the model input data; comparing the training label and the target care start time corresponding to the output of the care start time calculation model with the model input data as input; training the care start time calculation model based on the difference between the training label and the target care start time.

2. The method of claim 1, wherein, The clothes state information comprises temperature, humidity and dirtiness of the clothes, and the determination of the care running time and the care parameters of the clothes care according to the clothes state information comprises: determining the care running time according to the dirtiness; determining the care parameters according to the temperature and the humidity.

3. The method of claim 2, wherein, The dirtiness is determined based on clothes pH value, when the clothes pH value is in a first pH value interval, the dirtiness is determined as a first degree, when the clothes pH value is in a second pH value interval, the dirtiness is determined as a second degree, and when the clothes pH value is in a third pH value interval, the dirtiness is determined as a third degree, wherein the dirtiness corresponding to the first degree, the second degree and the third degree decreases in turn, and the determination of the care running time according to the dirtiness comprises: when the dirtiness is the first degree, determining the care running time as a first time length; when the dirtiness is the second degree, determining the care running time as a second time length; when the dirtiness is the third degree, determining the care running time as a third time length, wherein the first time length is greater than the second time length, and the second time length is greater than the third time length.

4. The method of claim 2, wherein, The determination of the care parameters according to the temperature and the humidity comprises: classifying the clothes according to the temperature and the humidity; determining the care parameters based on the classification result and a preset care parameter reference table.

5. The method of claim 4, wherein, The humidity is clothes humidity, and the classification of the clothes according to the temperature and the humidity comprises: obtaining environmental humidity of an environment surrounding the clothes; determining humidity type of the clothes according to the clothes humidity, the humidity type at least comprising high humidity type, moderate humidity type and low humidity type. According to the ambient humidity and the temperature, an ambient temperature and humidity type is determined, the ambient temperature and humidity type at least including a high temperature and high humidity type, a high temperature and low humidity type, a low temperature and high humidity type, a low temperature and low humidity type, and a moderate type; The clothes are classified in combination with the humidity type and the ambient temperature and humidity type.

6. The method of claim 5, wherein, The humidity type of the clothes is determined according to the clothes humidity, including: If the clothes humidity is greater than or equal to a first clothes humidity threshold value, the humidity type is determined as a high humidity type; If the clothes humidity is greater than a second clothes humidity threshold value and less than the first clothes humidity threshold value, the humidity type is determined as a moderate humidity type; If the clothes humidity is less than or equal to the second clothes humidity threshold value, the humidity type is determined as a low humidity type.

7. The method of claim 6, wherein, The first clothes humidity threshold value is 60%, and the second clothes humidity threshold value is 45%.

8. The method of claim 4, wherein, The care parameters are determined based on the classification result and a preset care parameter reference table, including: According to the classification result, a corresponding care temperature, fan rotating speed, and fan opening duration are queried from the preset care parameter reference table; The care temperature, the fan rotating speed, and the fan opening duration are determined as the care parameters.

9. The method of claim 1, wherein, After the care operation is performed at the care start time according to the care running duration and the care parameters, the method further includes: In the care process, the clothes humidity is monitored in real time, and when the clothes humidity falls below a preset threshold value, the care operation is stopped; When it is determined that the user needs to take out the clothes or needs to stop the care operation, the care operation is immediately terminated and the washing machine door is unlocked.

10. The method of claim 1, wherein, The washing type and clothes state information of the clothes after the clothes are washed are obtained, and the clothes state information at least includes a clothes weight of the clothes, including: It is judged whether the clothes in the drum are taken out after the washing program ends; When the clothes are not taken out, the washing type and the clothes state information of the clothes are obtained.

11. The method of claim 1, wherein, The user clothes taking interval time, the clothes weight, and the washing type are input into a care start time calculation model to obtain the care start time, including: According to the clothes weight, it is judged whether the clothes are taken out after the washing program ends; When the clothes are not taken out, the user clothes taking interval time, the clothes weight, and the washing type are input into the care start time calculation model to obtain the care start time.

12. The method of claim 1, wherein, The method further includes: When the care operation is performed, target clothes state information is obtained; According to the target clothes state information, the care parameters are adjusted.

13. The method of claim 1, wherein, The method further includes: During the care operation, environmental information is detected; When a preset duration is reached from the end of the care, it is determined whether to extend the care running duration and adjust the care parameters according to the environmental information; If it is determined, the care running duration is extended, and the care program is continued to be performed according to the adjusted care parameters.

14. The method of claim 1, wherein, The method further includes: During the care, the humidity information of the clothes in the drum is detected multiple times at certain time intervals; When the humidity information obtained by multiple detections indicates that the care effect does not reach a preset effect; The care parameters are adjusted and the care running duration is extended.

15. An electronic device, comprising: The method further includes: A memory and a processor, which are connected in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of claim 1 to 14.

16. A laundry appliance as claimed in claim 15, characterised in that, It adopts the method of claim 1 to 14, or has the electronic device of claim 15.

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