Method and device for determining laundry mode, clothing processing equipment and storage medium

Abstract

The present application belongs to the field of washing control technology, and specifically relates to a method, device, clothing processing equipment and storage medium for determining a laundry mode. The present application aims to solve the problem of complex settings and low accuracy of existing laundry modes. The method for determining a laundry mode provided by the present application includes: when obtaining a first instruction of a target device, determining the time type to which the current time corresponding to the first instruction belongs; determining the laundry mode of the target device according to the time type and the laundry rule of the target device, wherein the laundry rule is determined according to the historical laundry data of the target device; displaying the laundry mode, realizing automatic recommendation of a suitable laundry mode according to the time and the user's laundry rule, without the need for manual setting by the user, thereby improving the convenience of laundry, and the recommended laundry mode meets user needs and has high accuracy.

Description

Technical Field

[0001] The present application belongs to the technical field of washing control, and specifically relates to a method and device for determining a washing mode, a clothing processing device and a storage medium. Background Art

[0002] With the development and popularization of washing machine products, people are more and more dependent on washing machines, and using washing machines to wash clothes has become a common way of washing clothes.

[0003] Due to the different materials and types of clothes, different washing programs are often required to wash them in order to save water and electricity while ensuring the cleanliness of the clothes. However, as the functions of washing machines become more and more complex and the operation interface becomes more and more complex, it becomes more and more difficult to choose the appropriate washing mode.

[0004] The existing method of determining the laundry mode mostly recommends the most commonly used laundry mode based on the user's historical laundry data. The most commonly used laundry mode is often the laundry mode used most frequently by the user. In many cases, the mode still needs to be manually modified by the user. The accuracy of the laundry mode determination is not high and cannot meet user needs. Summary of the invention

[0005] In order to solve the above-mentioned problems in the prior art, that is, to solve the problem of low accuracy in determining the existing laundry mode, the present application provides a method, device, clothing processing equipment and storage medium for determining a laundry mode. The method for determining a laundry mode automatically determines the preferred laundry mode based on the laundry time and the laundry pattern, thereby improving the accuracy of determining the laundry mode, making the laundry mode more in line with user needs and improving the convenience of laundry.

[0006] In a first aspect, an embodiment of the present application provides a method for determining a laundry mode, the method comprising:

[0007] When acquiring a first instruction of a target device, determining a time type to which a current time corresponding to the first instruction belongs;

[0008] Determining a laundry mode of the target device according to the time type and a laundry rule of the target device, wherein the laundry rule is determined according to historical laundry data of the target device;

[0009] The washing mode is displayed.

[0010] Optionally, determining the time type to which the current time corresponding to the first instruction belongs includes:

[0011] The time type to which the current time belongs is determined according to at least one of the season, month and week to which the current time corresponding to the first instruction belongs.

[0012] Optionally, determining the time type to which the current time belongs according to at least one of the season, month, and week to which the current time corresponding to the first instruction belongs includes:

[0013] Determining a first type of the current time according to the season to which the current time belongs;

[0014] According to the day of the week described by the current time, the time type of the current time is determined from the first types.

[0015] Optionally, the method further comprises:

[0016] Counting the laundry modes of the target device at various historical times;

[0017] The laundry rule of the target device is determined according to the laundry modes at each historical time, wherein the laundry rule includes the laundry cycle of the target device and each laundry node corresponding to the laundry cycle.

[0018] Optionally, determining the time type to which the current time corresponding to the first instruction belongs includes:

[0019] Determining a washing node matching the current time according to the corresponding relationship between the current time and the washing cycle;

[0020] The time type of the current time is determined according to the laundry node.

[0021] Optionally, determining a laundry mode of the target device according to the time type and a laundry rule of the target device includes:

[0022] The laundry mode of the target device is determined according to the region corresponding to the target device, the time type, and the laundry rule of the target device.

[0023] Optionally, determining the laundry mode of the target device according to the region corresponding to the target device, the time type, and the laundry rule of the target device includes:

[0024] Determine the region type based on the region corresponding to the target device;

[0025] Determining a third type of the target device according to the time type and the region type;

[0026] A laundry mode of the target device is determined according to the third type and a laundry rule of the target device.

[0027] In a second aspect, an embodiment of the present application further provides a device for determining a laundry mode, the device comprising:

[0028] A time type determination module, configured to determine, when acquiring a first instruction of a target device, the time type to which the current time corresponding to the first instruction belongs;

[0029] a laundry mode determination module, configured to determine a laundry mode of the target device according to the time type and a laundry rule of the target device, wherein the laundry rule is determined according to historical laundry data of the target device;

[0030] The laundry mode display module is used to display the laundry mode.

[0031] Optionally, the time type determination module is specifically used to:

[0032] When a first instruction of a target device is acquired, the time type to which the current time belongs is determined according to at least one of the season, month and week to which the current time corresponding to the first instruction belongs.

[0033] Optionally, the time type determination module is specifically used to:

[0034] When acquiring a first instruction of a target device, determining a first type of the current time according to the season to which the current time belongs;

[0035] According to the day of the week described by the current time, the time type of the current time is determined from the first types.

[0036] Optionally, the device further comprises:

[0037] The laundry rule determination module is used to count the laundry modes of the target device at various historical times; determine the laundry rule of the target device according to the laundry modes at various historical times, wherein the laundry rule includes the laundry cycle of the target device and the various laundry nodes corresponding to the laundry cycle.

[0038] Optionally, the time type determination module includes:

[0039] a node matching unit, configured to determine, when acquiring a first instruction of a target device, a washing node matching the current time according to a correspondence between the current time corresponding to the first instruction and the washing cycle;

[0040] A time type determining unit is used to determine the time type of the current time according to the laundry node.

[0041] Optionally, the laundry mode determination module is specifically used to:

[0042] The laundry mode of the target device is determined according to the region corresponding to the target device, the time type, and the laundry rule of the target device.

[0043] Optionally, the laundry mode determination module is specifically used to:

[0044] Determine the region type based on the region corresponding to the target device;

[0045] Determining a third type of the target device according to the time type and the region type;

[0046] A laundry mode of the target device is determined according to the third type and a laundry rule of the target device.

[0047] In a third aspect, an embodiment of the present application further provides a clothes processing device, the clothes processing device comprising: a memory and at least one processor;

[0048] The memory stores computer-executable instructions;

[0049] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method for determining the laundry mode provided in any embodiment of the present application.

[0050] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, a method for determining a laundry mode as provided in any embodiment of the present application is implemented.

[0051] Those skilled in the art will understand that the laundry mode determination method, device, clothing processing equipment and storage medium provided in the embodiments of the present application, when a user needs to wash clothes, triggers a first instruction on the target device, automatically determines the laundry mode of the target device during this washing according to the time type to which the current time corresponding to the first instruction belongs and the laundry rule of the target device, and displays the laundry mode to facilitate washing clothes based on the laundry mode, thereby realizing automatic intelligent recommendation of the laundry mode, reducing the complexity of the user setting the laundry mode, improving the convenience of laundry, and the determined laundry mode has high compliance with user needs and high accuracy, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The following describes the preferred embodiments of the method and device for determining the laundry mode and the air conditioner of the present application with reference to the accompanying drawings. The accompanying drawings are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present application. The accompanying drawings are:

[0053] Figure 1An application scenario diagram of the method for determining a laundry mode provided in an embodiment of the present application;

[0054] Figure 2 is a flow chart of a method for determining a laundry mode provided by an embodiment of the present application;

[0055] Figure 3 is a flow chart of a method for determining a laundry mode provided by another embodiment of the present application;

[0056] Figure 4 For this application Figure 3 A flowchart of the third type of determination in the illustrated embodiment;

[0057] Figure 5 is a structural schematic diagram of a device for determining a laundry mode provided by an embodiment of the present application;

[0058] Figure 6 is a structural schematic diagram of a clothes processing device provided by an embodiment of the present application;

[0059] Figure 7 A schematic diagram of the structure of a user terminal provided for one embodiment of the present application. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below in combination with the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0061] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0062] Humidity is a parameter that characterizes the amount of water vapor in the air. It can also be said that humidity indicates the degree of moisture in the air. There are three ways to express humidity: absolute humidity, relative humidity, and moisture content. Absolute humidity indicates the mass of water vapor contained in a unit volume of air; relative humidity indicates the percentage of the actual water vapor density in the air to the saturated water vapor density at the same temperature; moisture content indicates the mass of water vapor contained in each kilogram of air. The humidity involved in this application, if not explicitly stated, refers to relative humidity.

[0063] The application scenarios of the embodiments of the present application are explained below:

[0064] Figure 1 An application scenario diagram of the method for determining a laundry mode provided in an embodiment of the present application, such as Figure 1 As shown, the method for determining the laundry mode provided in the embodiment of the present application can be run on clothing processing equipment, such as washing machines, dryers, integrated washing and drying machines, etc. As users have higher and higher requirements for laundry, there are more and more laundry modes in the clothing processing device 100. For different parameters such as washing speed, washing time, dehydration speed, number of washes, number of rinses, and number of dehydrations, various different laundry modes can be corresponding, such as gentle mode, large piece mode, fast mode, etc. When washing clothes, ordinary users often need to adjust the button 110 on the clothing processing device 100 according to the specific situation of the clothes to be washed, which can be a physical button or a virtual button, or set or adjust the laundry mode through the user end 200 to determine the appropriate laundry mode. The operation process is cumbersome, and because ordinary users are not professional laundry care personnel, the accuracy of the set laundry mode is low.

[0065] A common mode is often set on an existing clothing processing device 100. When a user turns on the clothing processing device 100, the common mode can be displayed on the display screen 120 of the clothing processing device 100, that is, the common mode is used as an automatically recommended washing mode. However, the common mode is the mode most used by users, and the most used washing mode is not suitable for the user's current clothing washing needs, has low accuracy, and cannot meet user needs.

[0066] In response to the above problems, the main concept of the method for determining the laundry mode provided in the embodiment of the present application is: determining the laundry mode of the device according to the time type corresponding to the current time when the user is washing clothes and the laundry rules of the device, and displaying the laundry mode, thereby realizing automatic determination of the laundry mode and reducing user operations; and considering the user's laundry habits and time to determine the laundry mode, thereby improving the accuracy of the laundry mode.

[0067] Figure 2 1 is a flowchart of a method for determining a laundry mode provided by an embodiment of the present application. The method for determining a laundry mode provided by an embodiment of the present application is applied to a laundry processing device or a user terminal connected to the laundry processing device. The laundry processing device can be any washing machine or a washer-dryer, such as Figure 2 As shown, the method for determining the washing mode includes the following steps:

[0068] Step S201, when a first instruction of a target device is obtained, determining the time type to which the current time corresponding to the first instruction belongs.

[0069] The target device may be a clothing processing device used by the user. The first instruction may be a power-on instruction of the target device, or a laundry instruction, a login instruction, a program switching instruction, etc. issued by the user through the user terminal or the target device. The user may trigger the first instruction by pressing a preset button, such as a memory button. The time type is used to characterize the time period corresponding to the current time in the user's laundry cycle, and may be described by week, day, or other time intervals.

[0070] Specifically, the state of the preset button can be judged to determine whether the first instruction has been received. If the preset button is pressed, it means that the first instruction has been received and the laundry mode needs to be automatically recommended to the user. If the preset button is not pressed, that is, the first instruction is not received, it means that the user does not need to automatically recommend the laundry mode and the user needs to manually determine the laundry mode.

[0071] Specifically, when the first instruction is obtained, the current time may be determined according to the timestamp of the first instruction, and then the time type to which the current time belongs may be determined based on the first mapping relationship.

[0072] The first mapping relationship is used to describe the time type corresponding to each time interval in a laundry cycle. The time interval can be in days or weeks. The time interval can be the average interval or minimum interval between two consecutive laundry operations of the user in the historical time period.

[0073] For example, Table 1 is the Figure 2 In the first mapping relationship table in the illustrated embodiment, as shown in Table 1, the user's laundry cycle is 32 days, and each day in the laundry cycle can correspond to one of types 1-5, and the specific corresponding relationship is shown in Table 1. If the current time corresponding to the user's current laundry is the 13th day of a laundry cycle, then according to the first mapping relationship, it can be known that its time type is type 2.

[0074] Table 1 First mapping relationship table

[0075]

[0076] Specifically, a corresponding first mapping relationship can be established for each user. When the user is a newly added user, the corresponding first mapping relationship can be matched for the user according to the user's user attributes. For example, historical users who are close to or highly similar to the user can be determined according to the user's gender, age, family members, occupation, preferences and other attributes, and the first mapping relationship of the new user can be determined according to the first mapping relationship of the historical users, or the user type of the new user can be determined, and the first mapping relationship corresponding to the user type can be determined as the first mapping relationship of the new user.

[0077] Optionally, determining the time type to which the current time corresponding to the first instruction belongs includes:

[0078] The time type to which the current time belongs is determined according to at least one of the season, month and week to which the current time corresponding to the first instruction belongs.

[0079] Specifically, due to different seasons, people wear different clothes, such as heavy or bulky clothes in winter, and thin clothes in summer. Therefore, the time type of the current time can be determined according to the season to which the current time belongs, such as winter type, summer type, spring type and autumn type. Of course, it can also be further subdivided, and the current time can be divided into time types in units of months or weeks to obtain the time types corresponding to each month or week, such as January type, June type, first week type, tenth week type, etc.

[0080] Furthermore, the time type to which the current time belongs can be determined according to the season and month to which the current time belongs. For example, if the current time is the first month of winter, the time type may be winter type 1, and if the current time is the second month of summer, the time type may be summer type 2.

[0081] Furthermore, the time type to which the current time belongs can be determined according to the month and week to which the current time belongs. For example, if the current time is the first week of January, the time type can be type 11, and if the current time is the second week of the third quarter, the time type can be type 32.

[0082] Furthermore, the time type to which the current time belongs can be determined according to the season and week to which the current time belongs. For example, if the current time is the first week of spring, the time type can be type 101, and if the current time is the tenth week of autumn, the time type can be type 310.

[0083] Furthermore, the time type to which the current time belongs can be determined according to the season, month and week to which the current time belongs. For example, if the current time is the first week of the first month of summer, the time type can be type 2101, and if the current time is the third week of the second month of winter, the time type can be type 4203.

[0084] Optionally, determining the time type to which the current time belongs according to at least one of the season, month, and week to which the current time corresponding to the first instruction belongs includes:

[0085] According to the season to which the current time belongs, a first type of the current time is determined; according to the day of the week described by the current time, a time type of the current time is determined from the first types.

[0086] The first type may include a Spring Festival type, an Autumn type, a Summer type, and a Winter type. The first type is a larger type, and the Time type is a subtype of the first type.

[0087] Of course, other time intervals besides the above seasons, months and weeks may also be used as units to determine the time type of the current time, such as ten days as a unit, which needs to be determined according to the user's laundry cycle.

[0088] Step S202: determining a laundry mode of the target device according to the time type and the laundry rule of the target device.

[0089] The laundry rule is determined according to historical laundry data of the target device.

[0090] Specifically, the target device's memory module can store the user's historical laundry data, including the laundry time and laundry mode of each laundry at a historical time. Then, the target device's laundry rule is determined based on the historical laundry data, and the laundry rule includes a laundry cycle, and the laundry time and laundry mode corresponding to each laundry in the laundry cycle. The laundry cycle can be a laundry cycle corresponding to each season.

[0091] Specifically, the laundry mode of the target device may be determined according to the matching result between the time type and the laundry rule of the target device.

[0092] Furthermore, the closest washing node may be determined from the washing rule according to the time type, and the washing mode of the closest washing node may be determined as the washing mode of the target device.

[0093] For example, assume that the target device has a 30-day laundry cycle in winter and 6 laundry times, i.e., 6 laundry nodes, and the laundry modes corresponding to each laundry node are mixed mode, quick wash mode, gentle mode, large-piece mode, mixed mode, and down jacket mode, respectively. The laundry times corresponding to each laundry node are: the 3rd day, the 7th day, the 10th day, the 15th day, the 21st day, and the 28th day. When the current time of the first instruction received by the target device is the 16th day of a laundry cycle, its time type is the fourth node type, and its laundry mode is the 15th day (closest to the 16th day) or the laundry mode corresponding to the fourth node, i.e., the large-piece mode.

[0094] Optionally, determining a laundry mode of the target device according to the time type and a laundry rule of the target device includes:

[0095] The laundry mode of the target device is determined according to the region corresponding to the target device, the time type, and the laundry rule of the target device.

[0096] The region corresponding to the target device may be obtained based on a positioning module of the target device, or may be determined based on a positioning module of a mobile terminal corresponding to the target device, such as based on positioning information of a user terminal communicating with the target device.

[0097] Specifically, since the temperature, climate and length of seasons vary from region to region, resulting in large deviations in users' laundry routines, the impact of regional differences on laundry patterns can be considered to improve the accuracy of laundry pattern determination.

[0098] Furthermore, weather information such as temperature and humidity of the area can be determined according to the area corresponding to the target device and the current time, and then the laundry mode of the target device can be determined according to the weather information, time type and laundry rules.

[0099] Specifically, the laundry mode of the target device may be determined according to the time type and laundry rules of the current time, and the laundry mode may be modified according to the weather information of the area corresponding to the target device at the current time to display the modified laundry mode.

[0100] For example, assuming that the region corresponding to the target device is the humid southern region, the temperature corresponding to the current time is 23°C heavy rainy weather, the time type is the fourth laundry node in autumn, and the laundry mode corresponding to this time type in the laundry rule is the quick laundry mode, then a drying program can be added on the basis of the quick laundry mode to reduce the time for drying clothes in humid conditions.

[0101] Step S203, displaying the laundry mode.

[0102] Specifically, the laundry mode may be displayed on a display screen or an indicator light of the target device, or may be displayed on a user terminal connected to the target device.

[0103] Furthermore, the user may confirm or modify the displayed laundry mode through the user terminal or the target device to obtain a final laundry mode, so that the target device washes clothes based on the final laundry mode.

[0104] Specifically, if no relevant instructions from the user are received within the preset time period of displaying the laundry mode, the target device directly washes clothes according to the laundry mode, or the user terminal sends the laundry mode to the target device so that the target device washes clothes according to the laundry mode.

[0105] The method for determining the laundry mode provided in the embodiment of the present application triggers a first instruction on the target device when the user needs to wash clothes, and automatically determines the laundry mode of the target device during this washing according to the time type to which the current time corresponding to the first instruction belongs and the laundry rule of the target device, and displays the laundry mode to facilitate washing clothes based on the laundry mode. Automatic intelligent recommendation of the laundry mode is realized, the complexity of the user setting the laundry mode is reduced, the convenience of laundry is improved, and the determined laundry mode is highly consistent with the user's needs and has high accuracy, thereby improving the user experience.

[0106] Figure 3 is a flow chart of a method for determining a laundry mode provided by another embodiment of the present application. Figure 3 On the basis of the embodiment shown in the figure, step S201 and step S202 are further refined, and a step of determining the washing regularity is added before step S201. Figure 3 As shown, the method for determining the laundry mode provided in this embodiment includes the following steps:

[0107] Step S301, counting the laundry modes of the target device at various historical times.

[0108] Specifically, the laundry mode of the target device at each historical time may be counted through the memory module of the target device.

[0109] Step S302, determining the laundry pattern of the target device according to the laundry modes at each historical time.

[0110] The laundry rule includes the laundry cycle of the target device and each laundry node corresponding to the laundry cycle.

[0111] Furthermore, the laundry rules corresponding to each user of the target device can be determined for each different user of the target device, so as to obtain the laundry rules corresponding to the user through user authentication, and make subsequent recommendations on the laundry mode for the user based on the laundry rules of the user.

[0112] Step S303, when the first instruction of the target device is obtained, a washing node matching the current time is determined according to the correspondence between the current time corresponding to the first instruction and the washing cycle in the washing rule.

[0113] The first instruction may correspond to an instruction that the user requires automatic recommendation of a laundry mode.

[0114] Specifically, the correspondence between the current time and the laundry cycle may be that the current time is at a time node in the laundry cycle, such as the 10th day in the laundry cycle.

[0115] Specifically, the laundry cycle includes various laundry nodes, each laundry node corresponds to a time interval in the laundry cycle, and according to the correspondence between the current time and the laundry cycle, the laundry node including the current time can be determined as the laundry node matching the current time.

[0116] For example, if the current time is the 6th day of the laundry cycle, and the time interval corresponding to the second node of the laundry cycle is the 5th to 8th day, the second node is determined as the laundry node matching the current time.

[0117] Furthermore, when the second instruction of the target device is obtained, the washing mode set by the user is obtained, and the above-mentioned washing rule is updated according to the time corresponding to the second instruction and the washing mode set by the user.

[0118] The second instruction indicates that the user needs to manually set the instruction corresponding to the washing mode, which may be the instruction corresponding to when the preset button is not pressed.

[0119] Step S304: determining the time type of the current time according to the laundry node.

[0120] Specifically, the laundry node may be directly determined as the time type of the current time, or the type corresponding to the laundry node may be determined as the time type of the current time.

[0121] Step S305: determining the region type according to the region corresponding to the target device.

[0122] It should be understood that this step can be performed synchronously with step S304, or can occur before step S304.

[0123] Among them, the region type can be a southern region type, a northern region type and a central region type. Of course, it can also be a tropical region type, a subtropical region type, etc. It can also be divided in other ways, such as dividing by city. This application does not limit the way of dividing region types.

[0124] Specifically, the clothing types of the southern region are usually more light and thin and less heavy clothing, the clothing types of the northern region are usually less light and thin and more heavy clothing, and the clothing types of the central region are usually more types of clothing.

[0125] Step S306: Determine a third type of the target device according to the time type and the region type.

[0126] Specifically, the third type may be determined by superimposing the region type and the time type.

[0127] Figure 4 For this application Figure 3The flowchart of the third type determination in the embodiment shown is as follows: Figure 4 As shown, the main steps of determining the third type include: the first step, determining the region corresponding to the target device, determining the region type, and obtaining the region attribute based on the region type; the second step, determining the season to which the current time belongs, and determining the season attribute corresponding to the season; the third step, determining the day of the week to which the current time belongs; and the fourth step, determining the third type according to the region attribute, the season attribute, and the day of the week. The third type corresponding to the target device in this laundry washing is determined by the three factors of region, season, and day of the week, and then the laundry mode is determined based on the third type, thereby improving the accuracy of the laundry mode determination.

[0128] Step S307: determining a laundry mode of the target device according to the third type and the laundry rule of the target device.

[0129] Specifically, according to the third type, a matching laundry node may be determined from the laundry rule of the target device, and the laundry mode of the laundry node may be determined as the laundry mode corresponding to the current time of the target device.

[0130] Furthermore, it is also possible to obtain the laundry rules corresponding to the user who issues the first instruction, and then determine the matching laundry node based on the third type and the laundry rules of the user of the target device, and determine the laundry mode of the laundry node as the laundry mode corresponding to the user of the target device at the current time.

[0131] By distinguishing different users, the laundry mode can be determined more intelligently, and corresponding laundry modes can be determined for different users. For example, a shared washing machine has multiple users, and by distinguishing different users, personalized and intelligent laundry modes can be recommended for different users.

[0132] Step S308, displaying the laundry mode.

[0133] In this embodiment, by collecting statistics on the historical laundry modes of the target device and determining the laundry rules, a laundry mode that matches the current laundry needs can be determined based on the laundry mode, the time type corresponding to the current laundry of the target device, and the region type. This realizes automatic determination of the laundry mode, reduces user operations, and makes the laundry mode determination more in line with user needs, thereby improving user experience.

[0134] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

[0135] Figure 5 FIG. 1 is a schematic diagram of a structure of a device for determining a laundry mode provided by an embodiment of the present application. Figure 5 As shown, the laundry mode determination device includes: a time type determination module 510 , a laundry mode determination module 520 and a laundry mode display module 530 .

[0136] Among them, the time type determination module 510 is used to determine the time type to which the current time corresponding to the first instruction belongs when obtaining the first instruction of the target device; the laundry mode determination module 520 is used to determine the laundry mode of the target device according to the time type and the laundry rule of the target device, wherein the laundry rule is determined based on the historical laundry data of the target device; the laundry mode display module 530 is used to display the laundry mode.

[0137] Optionally, the time type determination module 510 is specifically configured to:

[0138] When a first instruction of a target device is acquired, the time type to which the current time belongs is determined according to at least one of the season, month and week to which the current time corresponding to the first instruction belongs.

[0139] Optionally, the time type determination module 510 is specifically configured to:

[0140] When acquiring the first instruction of the target device, the first type of the current time is determined according to the season to which the current time belongs; and the time type of the current time is determined from the first types according to the day of the week described by the current time.

[0141] Optionally, the device further comprises:

[0142] The laundry rule determination module is used to count the laundry modes of the target device at various historical times; determine the laundry rule of the target device according to the laundry modes at various historical times, wherein the laundry rule includes the laundry cycle of the target device and the various laundry nodes corresponding to the laundry cycle.

[0143] Optionally, the time type determination module 510 includes:

[0144] A node matching unit is used to determine a laundry node that matches the current time according to the correspondence between the current time corresponding to the first instruction and the laundry cycle when acquiring the first instruction of the target device; a time type determination unit is used to determine the time type of the current time according to the laundry node.

[0145] Optionally, the laundry mode determination module 520 is specifically configured to:

[0146] The laundry mode of the target device is determined according to the region corresponding to the target device, the time type, and the laundry rule of the target device.

[0147] Optionally, the laundry mode determination module 520 is specifically configured to:

[0148] Determine the region type according to the region corresponding to the target device; determine the third type of the target device according to the time type and the region type; and determine the laundry mode of the target device according to the third type and the laundry rule of the target device.

[0149] Figure 6 is a structural schematic diagram of a clothes processing device provided by an embodiment of the present application, such as Figure 6 As shown, the clothes processing device includes: a memory 610, a processor 620 and a computer program.

[0150] The computer program is stored in the memory 610 and is configured to be executed by the processor 620 to implement the present application. Figure 2-Figure 4 The method for determining the laundry mode provided in any corresponding embodiment.

[0151] The memory 610 and the processor 620 are connected via a bus 630 .

[0152] Specifically, the clothing processing device may be a washing machine, a drying machine or an all-in-one washing and drying machine.

[0153] Furthermore, the clothing processing device may be provided with a memory button, which may be a physical button or a virtual button. When the memory button is pressed, the first instruction is triggered.

[0154] For related instructions, please refer to Figure 2-Figure 4 The relevant descriptions and effects corresponding to the steps are understood, and no further elaboration is given here.

[0155] Figure 7 A schematic diagram of the structure of a user terminal provided in one embodiment of the present application is shown in FIG. Figure 6 As shown, the clothes processing device includes: a memory 710, a processor 720 and a computer program.

[0156] The computer program is stored in the memory 710 and is configured to be executed by the processor 720 to implement the present application. Figure 2-Figure 4 The method for determining the laundry mode provided in any corresponding embodiment.

[0157] The memory 710 and the processor 720 are connected via a bus 730 .

[0158] The present application also provides a readable storage medium, in which execution instructions are stored. When at least one processor of the voice interaction device executes the execution instruction, when the computer execution instruction is executed by the processor, the method for determining the laundry mode in the above embodiment is implemented.

[0159] The present application also provides a program product, which includes executable instructions stored in a readable storage medium. At least one processor of the laundry processing device or the user terminal can read the executable instructions from the readable storage medium, and at least one processor executes the executable instructions so that the laundry mode determination device implements the laundry mode determination method provided in the above various embodiments.

[0160] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0161] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, each functional module in each embodiment of the present application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0163] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the methods of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0164] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application is described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the protection scope of the present application is obviously not limited to these specific implementations. Without departing from the principles of the present application, those skilled in the art may 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 application.

Claims

1. A method for determining a laundry mode, characterized in that: The method comprises: When acquiring a first instruction of a target device, determining a time type to which a current time corresponding to the first instruction belongs; Determining a laundry mode of the target device according to the time type and a laundry rule of the target device, wherein the laundry rule is determined according to historical laundry data of the target device; displaying the laundry mode; Counting the laundry modes of the target device at various historical times; The laundry rule of the target device is determined according to the laundry modes at each historical time, wherein the laundry rule includes the laundry cycle of the target device and each laundry node corresponding to the laundry cycle.

2. The method according to claim 1, characterized in that Determining the time type to which the current time corresponding to the first instruction belongs includes: The time type to which the current time belongs is determined according to at least one of the season, month and week to which the current time corresponding to the first instruction belongs.

3. The method according to claim 2, characterized in that Determining the time type to which the current time belongs according to at least one of the season, month, and week to which the current time corresponds to the first instruction belongs, includes: Determining a first type of the current time according to the season to which the current time belongs; According to the day of the week described by the current time, the time type of the current time is determined from the first types.

4. The method according to claim 1, characterized in that Determining the time type to which the current time corresponding to the first instruction belongs includes: Determining a washing node matching the current time according to the corresponding relationship between the current time and the washing cycle; The time type of the current time is determined according to the laundry node.

5. The method according to any one of claims 1 to 4, characterized in that: Determining a laundry mode of the target device according to the time type and the laundry rule of the target device includes: The laundry mode of the target device is determined according to the region corresponding to the target device, the time type, and the laundry rule of the target device.

6. The method according to claim 5, characterized in that Determining a laundry mode of the target device according to the region corresponding to the target device, the time type, and the laundry rule of the target device includes: Determine the region type based on the region corresponding to the target device; Determining a third type of the target device according to the time type and the region type; A laundry mode of the target device is determined according to the third type and a laundry rule of the target device.

7. A device for determining a laundry mode, characterized in that: The device comprises: A time type determination module, configured to determine, when acquiring a first instruction of a target device, the time type to which the current time corresponding to the first instruction belongs; a laundry mode determination module, configured to determine a laundry mode of the target device according to the time type and a laundry rule of the target device, wherein the laundry rule is determined according to historical laundry data of the target device; A laundry mode display module, used to display the laundry mode; The laundry rule determination module is used to count the laundry modes of the target device at various historical times; determine the laundry rule of the target device according to the laundry modes at various historical times, wherein the laundry rule includes the laundry cycle of the target device and the various laundry nodes corresponding to the laundry cycle.

8. A clothes processing device, characterized in that: memory and at least one processor; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method for determining the laundry mode according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the processor executes the computer-executable instructions, the method for determining the laundry mode according to any one of claims 1 to 6 is implemented.

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