Method, device, equipment and storage medium for generating washing recommended parameters

Abstract

The present application belongs to the technical field of household appliances, and specifically relates to a method, device, equipment and storage medium for generating washing recommendation parameters. The present application aims to solve the problem of single functionality of existing applications for controlling washing machines. The method for generating washing recommendation parameters provided by the present application includes: obtaining the washing parameters of each user's preset application; determining the washing score of each user based on the washing parameters corresponding to each user; for each user, generating the washing recommendation parameters of the user based on the user's laundry score, thereby realizing a method for recommending washing parameters for clothing processing equipment based on an application, enriching the functionality of the application, and at the same time, improving the accuracy of the washing parameter determination.

Description

Technical Field

[0001] The present application belongs to the technical field of household appliances, and specifically relates to a method, device, equipment and storage medium for generating washing recommendation parameters. Background Art

[0002] With the continuous development of Internet of Things technology, Internet of Things-based washing machines have been favored by a wide range of users, and more and more washing machines support control by applications (Application, APP) based on user terminals.

[0003] Existing applications for controlling washing machines can realize functions such as starting, scheduling, and shutting down the washing machine, and can also perform laundry based on a washing program set by the user.

[0004] The existing washing machine control applications have single functions 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 single function of existing applications for controlling laundry, the present application provides a method, device, equipment and storage medium for generating washing recommendation parameters. For clothing processing equipment controlled based on an application, the application calculates the user's laundry score based on real-time washing parameters, which increases the fun of the application. At the same time, it realizes the generation of washing recommendation parameters for the clothing processing equipment based on the laundry score, so that the user can directly control the clothing processing equipment based on the generated washing recommendation parameters, enriching the functions of the application and improving the accuracy and intelligence of the control of the clothing processing equipment based on the application.

[0006] In a first aspect, an embodiment of the present application provides a method for generating recommended washing parameters, the method comprising:

[0007] The laundry parameters of the preset application of each user are obtained; the laundry score of each user is determined according to the laundry parameters corresponding to each user; and for each user, the recommended washing parameters for the user are generated according to the laundry score of the user.

[0008] Optionally, obtain laundry parameters for each user's preset application, including:

[0009] Recording various laundry parameters of a preset application of each user within a preset time period, wherein the laundry parameters include one or more of the number of washes, the duration of washes, the type of laundry program used, the time when the preset application was used, and the number of times the preset application was accessed by other users.

[0010] Optionally, determining the laundry score of each user based on the laundry parameters corresponding to each user includes:

[0011] For each user, a laundry score of the user is determined based on a preset correspondence and the laundry parameters corresponding to the user.

[0012] Optionally, determining the laundry score of the user based on a preset corresponding relationship and a laundry parameter corresponding to the user includes:

[0013] For each laundry parameter, a bonus value corresponding to the laundry parameter is determined according to the laundry parameter corresponding to the user; and a laundry score of the user is determined according to the bonus values ​​corresponding to each laundry parameter of the user.

[0014] Optionally, determining the bonus value corresponding to the laundry parameter according to the laundry parameter of the user within a preset time period includes:

[0015] Obtaining a point-adding correspondence relationship corresponding to the laundry parameter; and calculating a point-adding value corresponding to the laundry parameter according to the laundry parameter and its corresponding point-adding correspondence relationship.

[0016] Optionally, after determining the laundry score of each user according to the laundry parameters corresponding to each user, the method further includes:

[0017] Determine the laundry ranking of each user based on the laundry scores of each user in the preset area.

[0018] Optionally, generating washing recommendation parameters for the user based on the user's laundry score includes:

[0019] According to the laundry ranking of the user, a washing recommendation parameter of the user is determined, so that the user determines a washing parameter of a laundry treatment device based on the washing recommendation parameter.

[0020] Optionally, the method further includes:

[0021] According to a preset cycle, the laundry score of each user is initialized to obtain the initial score of each user.

[0022] Accordingly, the laundry score of each user is determined based on the laundry parameters corresponding to each user, including:

[0023] The laundry score of each user in the preset period is determined based on the initial score of each user corresponding to the preset period and the laundry parameters of each user corresponding to the preset period.

[0024] In a second aspect, an embodiment of the present application further provides a device for generating recommended washing parameters, the device comprising:

[0025] The laundry parameter acquisition module is used to obtain the laundry parameters of each user's preset application; the laundry score determination module is used to determine the laundry score of each user based on the laundry parameters corresponding to each user; and the recommended parameter generation module is used to generate recommended washing parameters for each user based on the user's laundry score.

[0026] Optional laundry parameter acquisition module, specifically used for:

[0027] Recording various laundry parameters of a preset application of each user within a preset time period, wherein the laundry parameters include one or more of the number of washes, the duration of washes, the type of laundry program used, the time when the preset application was used, and the number of times the preset application was accessed by other users.

[0028] Optionally, the laundry score determination module is specifically used to:

[0029] For each user, a laundry score of the user is determined based on a preset corresponding relationship and the laundry parameters corresponding to the user.

[0030] Optionally, a laundry score determination module includes:

[0031] The bonus value determination unit is used to determine the bonus value corresponding to each laundry parameter according to the laundry parameter corresponding to the user; the laundry score determination unit is used to determine the laundry score of the user according to the bonus values ​​corresponding to each laundry parameter of the user.

[0032] Optionally, the bonus value determination unit is specifically configured to:

[0033] Obtaining a point-adding correspondence relationship corresponding to the laundry parameter; and calculating a point-adding value corresponding to the laundry parameter according to the laundry parameter and its corresponding point-adding correspondence relationship.

[0034] Optionally, the device further includes:

[0035] The user ranking determination module is used to determine the laundry ranking of each user according to the laundry scores of each user in a preset area after determining the laundry scores of each user according to the laundry parameters corresponding to each user.

[0036] Optional, recommended parameter generation module, specifically used for:

[0037] For each user, a washing recommendation parameter of the user is determined according to the laundry ranking of the user, so that the user determines the washing parameter of the laundry processing device based on the washing recommendation parameter.

[0038] Optionally, the device further includes:

[0039] The score initialization module is used to initialize the laundry score of each user according to a preset period to obtain the initial score of each user.

[0040] Accordingly, the laundry score determination module is specifically used to:

[0041] The laundry score of each user in the preset period is determined based on the initial score of each user corresponding to the preset period and the laundry parameters of each user corresponding to the preset period.

[0042] In the third aspect, an embodiment of the present application also provides a device for generating washing recommendation parameters, comprising: a 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 executes the method for generating washing recommendation parameters provided in any embodiment corresponding to the first aspect of the present application.

[0043] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, a method for generating washing recommendation parameters as provided in any embodiment corresponding to the first aspect of the present application is implemented.

[0044] In a fifth aspect, an embodiment of the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements a method for generating recommended washing parameters as provided in any embodiment corresponding to the first aspect of the present application.

[0045] It will be understood by those skilled in the art that the method, apparatus, device and storage medium for generating recommended washing parameters provided in the embodiments of the present application are for a clothing processing device bound to a preset application, and determine the laundry score of each user through the laundry parameters of each user recorded by the preset application, and then generate the recommended washing parameters for each user based on the laundry score, so that the user can modify or determine the washing parameters of the clothing processing device based on the generated recommended washing parameters, thereby enriching the functions of the application and improving the accuracy and intelligence of determining the washing parameters of the clothing processing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The following describes preferred embodiments of the method, device, apparatus, and storage medium for generating wash recommendation parameters of the present application with reference to the accompanying drawings. The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification, serve to explain the principles of the present application. The accompanying drawings are:

[0047] Figure 1A diagram showing an application scenario of the method for generating recommended washing parameters provided in an embodiment of the present application;

[0048] Figure 2 This is a flow chart of a method for generating recommended washing parameters provided by one embodiment of the present application;

[0049] Figure 3 is a flow chart of a method for generating recommended washing parameters provided by another embodiment of the present application;

[0050] Figure 4 This application Figure 3 A schematic diagram of the bonus values ​​of various laundry parameters provided in the illustrated embodiment;

[0051] Figure 5 This is a schematic structural diagram of a device for generating recommended washing parameters provided by one embodiment of the present application;

[0052] Figure 6 This is a structural diagram of a device for generating recommended washing parameters provided in one embodiment of the present application. DETAILED DESCRIPTION

[0053] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0054] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. 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.

[0055] The following explains the application scenarios of the embodiments of the present application:

[0056] Figure 1 This is an application scenario diagram of the method for generating recommended washing parameters provided in an embodiment of the present application, such as Figure 1 As shown, the control methods of the clothing processing device 110, such as a washing machine, a dryer, etc., commonly include setting the washing parameters of the clothing processing device 110 through the function buttons 111 on the clothing processing device 110, or controlling the clothing processing device 110 through a preset application 121 on a user terminal 120 bound to the clothing processing device 110, such as making laundry reservations and setting laundry programs.

[0057] In the prior art, the functions of the preset application 121 for controlling the clothing processing device 110 are relatively simple, including only common functions such as turning on, off, reservation, and washing program setting, and are less interesting, so users have low frequency of use and satisfaction with the preset application.

[0058] In response to the above problems, in order to enrich the functions of the preset application, the main concept of the method for generating washing recommendation parameters provided in the embodiment of the present application is: by calculating the laundry parameters of each user recorded in the preset application, the laundry score of each user is calculated, and then the washing recommendation parameters of the clothing processing equipment corresponding to the user are generated based on the laundry score, so that the user can determine or modify the washing parameters based on the washing recommendation parameters, which adds the function of generating recommended parameters to the application, improves the accuracy of washing parameter determination, and can increase the fun of the application by displaying and ranking the laundry scores.

[0059] Figure 2 This is a flow chart of a method for generating washing recommendation parameters provided by an embodiment of the present application. The method for generating washing recommendation parameters provided by an embodiment of the present application can be executed by a server, a user terminal or a clothing processing device, such as Figure 2 As shown, the method for generating the recommended washing parameters includes the following steps:

[0060] Step S201: Acquire the laundry parameters of the preset application of each user.

[0061] The preset application is an application installed on the user terminal and used to control the laundry processing device bound to the user terminal. The laundry parameters may include usage data of the laundry processing device bound to the preset application, such as the washing time, number of washes, laundry programs used each time, and the number of laundry programs. It may also include usage data of the preset application, such as the usage time of the preset application and the number of times it has been accessed by other users.

[0062] Specifically, the laundry treatment device can store usage data from each user's offline use of the laundry treatment device, and then upload this offline laundry treatment device usage data to the user terminal or server corresponding to the preset application. The user terminal can record the usage data of the corresponding preset application in real time, including the user's online usage data of each time the laundry treatment device is used, the usage duration of the preset application, and the number of times the preset application user interface is accessed by other users. The user terminal can then transmit the usage data of the preset application corresponding to the user terminal and the offline laundry treatment device usage data to the server. Thus, for each user, the server can determine the user's various laundry parameters based on the user's corresponding preset application usage data and the offline laundry treatment device usage data.

[0063] Specifically, the clothing processing device can upload offline usage data to the user terminal or server based on corresponding connection methods such as the Internet of Things, Bluetooth, and the Internet.

[0064] Specifically, the server may obtain usage data of the preset application installed on each user terminal based on the Internet.

[0065] Specifically, the washing parameters recorded in the preset application of each user may be updated according to a set period, and the set period may be 15 minutes, 30 minutes, 1 hour or other time intervals.

[0066] Step S202: Determine the laundry score of each user according to the laundry parameters corresponding to each user.

[0067] The laundry score may be any integer, such as an integer between 0 and 100, or an integer between 0 and infinity.

[0068] Specifically, each laundry parameter may be digitized to obtain each parameter value, and then the laundry score of the user may be determined based on each parameter value corresponding to the user. For example, the laundry score may be the sum of each parameter value.

[0069] Furthermore, each washing parameter may be weighted, and the user's washing score may be determined based on the parameter value and weight corresponding to each washing parameter.

[0070] In some embodiments, the calculation formula for the laundry score may be:

[0071]

[0072] Among them, S i is the laundry score of the i-th user; v j is the parameter value of the jth washing parameter; w j is the weight of the j-th washing parameter.

[0073] Optionally, determining the laundry score of each user based on the laundry parameters corresponding to each user includes:

[0074] For each user, a laundry score of the user is determined based on a preset correspondence and the laundry parameters corresponding to the user.

[0075] The preset corresponding relationship is used to describe the corresponding relationship between each washing parameter and the washing score.

[0076] Furthermore, after determining each user's laundry score, the scores can be sorted from high to low, and a user tag for each user can be determined based on the sorting results. Different user tags may correspond to different display interfaces of the preset application, or users with different user tags may have different user permissions within the preset application, or users with different user tags may have different user experience growth values ​​within the preset application.

[0077] Exemplarily, user tags may include four types: silver, gold, diamond, and king, or may include three types: level one, level two, and level three. The higher the level, the higher the corresponding ranking.

[0078] For example, the user label corresponding to users ranked in the top 10% may be King, the user label corresponding to users ranked in the top 50% to top 10% may be Diamond, the user label corresponding to users ranked in the top 80% to top 50% may be Gold, and the user label corresponding to users ranked above the top 80% may be Silver.

[0079] Optionally, the method further includes:

[0080] According to a preset cycle, the laundry score of each user is initialized to obtain the initial score of each user.

[0081] The preset period may be 100 days, 3 months, 70 days or other time intervals.

[0082] Specifically, the laundry score of each user may be initialized at the initial moment of each preset period, that is, the laundry score of each user may be set to the corresponding initial score.

[0083] For example, the laundry score of each user may be initialized to 0 at the beginning of each preset cycle.

[0084] Furthermore, the initial score for the next preset cycle may be determined based on the user's laundry score in the previous preset cycle, user tags and other parameters.

[0085] For example, if the laundry scores of user A and user B in the previous preset cycle are 300 and 600 respectively, it is determined that the initial score of user A in the next preset cycle is 100, and the initial score of user B in the next preset cycle is 200.

[0086] For example, if the user labels of user C and user D in the previous preset period are diamond and gold respectively, the initial score of user C in the next preset period is determined to be 100, and the initial score of user D in the next preset period is determined to be 0.

[0087] Determine each user's laundry score based on their corresponding laundry parameters, including:

[0088] The laundry score of each user in the preset period is determined based on the initial score of each user corresponding to the preset period and the laundry parameters of each user corresponding to the preset period.

[0089] Specifically, the additional score of each user may be determined based on the corresponding laundry parameters of each user in a preset period, and the sum of the additional score of each user and the initial score may be determined as the laundry score of each user in the preset period.

[0090] Step S203: For each user, generate the user's recommended washing parameters according to the user's laundry score.

[0091] The recommended washing parameters are various parameters used to assist the user in determining the washing parameters of the clothes processing device.

[0092] Specifically, the recommended washing parameters of the laundry processing device corresponding to the user may be generated according to the interval in which the user's laundry score falls.

[0093] Furthermore, the recommended washing parameters of the laundry processing device corresponding to the user may be determined according to the interval in which the user's laundry score is located and the historical washing parameters of the laundry processing device corresponding to the user.

[0094] Specifically, if the user's laundry score is higher than the first preset score, the user's commonly used washing parameters are determined as the recommended washing parameters; if the user's laundry score is in the second interval corresponding to the second preset score and the first preset score, where the first preset score is higher than the second preset score, the user's recommended washing parameters are determined based on the user's commonly used washing parameters and the second default washing parameters corresponding to the second area; if the user's laundry score is lower than the second preset score, the third default washing parameters are determined as the user's recommended washing parameters.

[0095] Specifically, the recommended washing parameters for the user may be determined based on the commonly used washing parameters of each target user, wherein the target users are users in the same washing score range as the user.

[0096] Furthermore, after generating the recommended washing parameters, the recommended washing parameters can also be displayed, such as sending the recommended washing parameters to the corresponding user terminal or clothing processing device, so that the recommended washing parameters are displayed through the display screen of the user terminal or clothing processing device.

[0097] Specifically, when the user opens a preset application and makes a washing reservation or washes clothes based on the preset application, the various washing parameters in the parameter setting interface of the preset application are initialized to the above-mentioned recommended washing parameters, and the user can confirm or modify the various recommended washing parameters.

[0098] Specifically, when the laundry processing device is in the startup state, each recommended washing parameter can be sent to the laundry processing device, so that each washing parameter can be initialized to each recommended washing parameter on the parameter setting interface based on the display screen of the laundry processing device.

[0099] The method for generating recommended washing parameters provided in an embodiment of the present application is for a clothing processing device bound to a preset application. The laundry parameters of each user are recorded by the preset application to determine the laundry score of each user, and then based on the laundry score, the recommended washing parameters for each user are generated, so that the user can modify or determine the washing parameters of the clothing processing device based on the generated recommended washing parameters. While enriching the functions of the application, the accuracy and intelligence of the determination of the washing parameters of the clothing processing device are improved.

[0100] Figure 3 This is a flow chart of a method for generating washing recommendation parameters provided by another embodiment of the present application. Figure 2 On the basis of the embodiment shown, steps S201, S202 and S203 are further refined, and a step of determining the user's laundry ranking is added after step S202. Figure 3 As shown, the method for generating recommended washing parameters provided in this embodiment includes the following steps:

[0101] Step S301 , recording various laundry parameters of the preset application of each user within a preset time period.

[0102] The laundry parameters include one or more of the following: number of washes, washing duration, type of laundry program used, time spent using the preset application, and number of times the application has been accessed by other users. The preset time can be a time period corresponding to a set time length, or a time period from the beginning of a preset cycle to the current time.

[0103] Specifically, the number of wash cycles can be determined based on the working state of the clothing processing device, or can be determined based on the number of times the washing program of the preset application is started; the washing duration can be recorded by the timer of the clothing processing device or the timer of the user terminal when it is detected that the clothing processing device is performing the washing program; the time of using the preset application can be determined by the moments corresponding to each time the preset application is turned on, off, switched from background operation to foreground operation, and switched from foreground operation to background operation; the number of times accessed by other users, that is, the number of times the user interface of the user's preset application is accessed by other users, can be determined by factors such as the access time of the user interface of the user's preset application, the user name of the accessing user, and the IP address corresponding to the accessing user, wherein the accessing user is other users who access the user interface of the user's preset application, and multiple visits by the same IP address or the same user name within the first time period are recorded as only one visit.

[0104] Specifically, the laundry parameters of each user's preset application program may be recorded in real time starting from the initial moment of the preset cycle.

[0105] Furthermore, the preset region set by the user can be obtained, and each user can be screened based on the preset region to obtain a user set corresponding to the user, and obtain the laundry parameters of the preset application of each user in the user set.

[0106] Step S302: for each washing parameter, determine a bonus value corresponding to the washing parameter according to the washing parameter corresponding to the user.

[0107] Specifically, the bonus value of each washing parameter may be determined according to the parameter value of the washing parameter.

[0108] Specifically, a parameter coefficient corresponding to each washing parameter may be determined, and then the product of the parameter value of the washing parameter and the parameter coefficient may be determined as the bonus value of the washing parameter.

[0109] The parameter systems corresponding to different washing parameters may be different or the same, and the values ​​of the parameter coefficients may be 1, 2, 5, 10 or other positive integers.

[0110] For example, the parameter coefficient of the number of times the laundry is done may be 10, 5, or other values, and the parameter coefficient of the number of times the laundry is visited by other users may be 1, 2, or other values.

[0111] For example, if the user washes clothes three times within the preset time, the corresponding bonus value is 30 points. If the user uses three types of laundry programs within the preset time, the corresponding bonus value is 30 points.

[0112] Furthermore, a point-adding correspondence relationship for each laundry parameter may be pre-established, and the point-adding correspondence relationship is used to describe the correspondence relationship between the parameter value of each laundry parameter and the corresponding point-adding value, so as to determine the point-adding value of each laundry parameter in combination with the correspondence relationship.

[0113] Optionally, determining, according to the laundry parameters corresponding to the user, a bonus value corresponding to the laundry parameters includes:

[0114] Obtaining a point-adding correspondence relationship corresponding to the laundry parameter; and calculating a point-adding value corresponding to the laundry parameter according to the laundry parameter and its corresponding point-adding correspondence relationship.

[0115] Specifically, a mapping relationship between laundry parameters and bonus point correspondence relationships may be established, and then based on the laundry parameters and the mapping relationship, the bonus point correspondence relationship for calculating the bonus point value of the laundry parameter may be determined.

[0116] The point-adding correspondence may be an exponential correspondence, a linear correspondence, or other positive correlation correspondence.

[0117] Specifically, the corresponding relationship between the number of visits by other users and the bonus points can be s i4 =k i4 ×f i , where s i4 is the number of times the i-th user is accessed by other users f i The corresponding bonus value, k i4 is the access weight coefficient of the number of times the i-th user is accessed by other users.

[0118] Among them, k i4 It can be determined based on the user level and user label of the i-th user.

[0119] Step S303: determining the laundry score of the user according to the added points corresponding to each laundry parameter of the user.

[0120] Specifically, the laundry score of the user may be determined as the sum of the added points corresponding to the various laundry parameters of the user.

[0121] Furthermore, the user's initial score may be obtained, and the sum of the initial score and the bonus points corresponding to each laundry parameter may be determined as the user's laundry score.

[0122] For example, the calculation formula of the laundry score is:

[0123]

[0124] Among them, s i0 is the initial score of the i-th user, s ijis the bonus value of the j-th washing parameter of the i-th user.

[0125] For example, Figure 4 This application Figure 3 The schematic diagram of the bonus value of each laundry parameter provided in the embodiment shown is as follows: Figure 4 As shown, the laundry parameters and bonus values ​​corresponding to user E on that day are as follows: the duration of using the laundry APP is 1 hour, and the corresponding bonus value is 10 points; the number of laundry times is 3 times, and the corresponding bonus value is 30 points; the types of laundry programs used are 3, and the corresponding bonus value is 30 points; the number of times accessed by other users is 4 times, and the corresponding bonus value is 4 points; by accumulating the bonus values ​​corresponding to the various laundry parameters on that day, the total score of user E on that day can be obtained, that is, 74 points, and then the user's laundry score can be updated based on the total score of that day, that is, by accumulating the total scores corresponding to each day from the first day to the current day within the preset period, the user's laundry score can be obtained.

[0126] Step S304: determining the laundry ranking of each user according to the laundry scores of each user in the preset area.

[0127] Among them, the preset area can be the street, district, county, city, province, etc. corresponding to the user's area.

[0128] Specifically, a preset region can be determined or input by the user. For example, the user can select a preset region on the ranking interface of a preset application, and the preset application will then display the user's laundry ranking in the preset region, or display the laundry rankings of each user in the preset region. It can also display the laundry scores of each user in the preset region, and can also display the commonly used laundry programs and various washing parameters of each user in the preset region. The user can set the content that other users can access, such as washing parameters can be set to hidden type, that is, other users cannot access it.

[0129] Furthermore, the user tag of each user may be determined based on the score interval of each user's laundry score or the laundry ranking of each user.

[0130] Specifically, when a user enters a ranking interface of a preset application, user tags of users in a preset region may also be displayed on the ranking interface.

[0131] By setting laundry scores, laundry rankings, and user tags, the laundry scores of each user in a preset area will continue to change over time, thereby updating the user's laundry ranking and user tags, which can increase the fun of the preset application and, at the same time, improve the user's laundry awareness.

[0132] Step S305 : determining the user's recommended washing parameters according to the user's laundry ranking, so that the user determines the washing parameters of the laundry processing device based on the recommended washing parameters.

[0133] Specifically, the recommended washing parameters for the user may be determined based on the user's laundry ranking and / or user tags.

[0134] Specifically, it can be determined based on whether the user's laundry ranking is higher than the first preset ranking. If so, the user's commonly used washing parameters are determined as the user's recommended washing parameters; if the user's laundry ranking is between the second preset ranking and the first preset ranking, the user's floor washing recommended parameters are generated based on the commonly used washing parameters of each user in the interval; if the user's laundry ranking is lower than the second preset ranking, the default washing parameters are determined as the user's recommended washing parameters.

[0135] In this embodiment, by counting the various washing parameters of the preset application within a preset time period, the user's various added points are determined based on the various washing parameters, and then the various added points are accumulated to obtain the user's laundry score. Then, based on the preset area selected by the user, the laundry ranking of each user in the preset area is determined from high to low according to the laundry score. The user's user tag can also be determined based on the interval in which the laundry score lies. The use of a ranking system or a grade system can increase the fun of the preset application. At the same time, by displaying the laundry score, laundry ranking and washing parameters of each user in the preset area, the user's laundry awareness can be improved. Moreover, the user's recommended washing parameters can be generated based on the laundry score, laundry ranking, user tag, etc., so as to assist or guide the user to determine the washing parameters of the clothing processing device based on the recommended washing parameters, thereby improving the intelligence of the preset application, enriching the functions of the preset application, and improving the accuracy of the washing parameter determination.

[0136] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0137] Figure 5 FIG. 1 is a schematic diagram of a device for generating washing recommended parameters according to an embodiment of the present application. Figure 5 As shown, the device for generating washing recommended parameters includes: a washing parameter acquisition module 510 , a washing score determination module 520 and a recommended parameter generation module 530 .

[0138] Among them, the laundry parameter acquisition module 510 is used to obtain the laundry parameters of each user's preset application; the laundry score determination module 520 is used to determine the laundry score of each user based on the laundry parameters corresponding to each user; and the recommended parameter generation module 530 is used to generate recommended washing parameters for each user based on the user's laundry score.

[0139] Optionally, the laundry parameter acquisition module 510 is specifically configured to:

[0140] Recording various laundry parameters of a preset application of each user within a preset time period, wherein the laundry parameters include one or more of the number of washes, the duration of washes, the type of laundry program used, the time when the preset application was used, and the number of times the preset application was accessed by other users.

[0141] Optionally, the laundry score determination module 520 is specifically configured to:

[0142] For each user, a laundry score of the user is determined based on a preset corresponding relationship and the laundry parameters corresponding to the user.

[0143] Optionally, the laundry score determination module 520 includes:

[0144] The bonus value determination unit is used to determine the bonus value corresponding to each laundry parameter according to the laundry parameter corresponding to the user; the laundry score determination unit is used to determine the laundry score of the user according to the bonus values ​​corresponding to each laundry parameter of the user.

[0145] Optionally, the bonus value determination unit is specifically configured to:

[0146] Obtaining a point-adding correspondence relationship corresponding to the laundry parameter; and calculating a point-adding value corresponding to the laundry parameter according to the laundry parameter and its corresponding point-adding correspondence relationship.

[0147] Optionally, the device further includes:

[0148] The user ranking determination module is used to determine the laundry ranking of each user according to the laundry scores of each user in a preset area after determining the laundry scores of each user according to the laundry parameters corresponding to each user.

[0149] Optionally, the recommended parameter generation module 530 is specifically configured to:

[0150] For each user, a washing recommendation parameter of the user is determined according to the laundry ranking of the user, so that the user determines the washing parameter of the laundry processing device based on the washing recommendation parameter.

[0151] Optionally, the device further includes:

[0152] The score initialization module is used to initialize the laundry score of each user according to a preset period to obtain the initial score of each user.

[0153] Accordingly, the laundry score determination module 520 is specifically configured to:

[0154] The laundry score of each user in the preset period is determined based on the initial score of each user corresponding to the preset period and the laundry parameters of each user corresponding to the preset period.

[0155] The device for generating recommended washing parameters provided in the embodiments of the present application can execute the method for generating recommended washing parameters provided in any embodiment of the present application, and has the functional modules and beneficial effects corresponding to the execution method.

[0156] Figure 6 FIG. 1 is a schematic diagram of a device for generating washing recommendation parameters according to an embodiment of the present application. Figure 6 As shown, the device for generating recommended washing parameters includes: a memory 610, a processor 620 and a computer program.

[0157] 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 3 The clothes drying control method provided by any corresponding embodiment.

[0158] The memory 610 and the processor 620 are connected via a bus 630 .

[0159] For related instructions, please refer to Figure 2-Figure 3 You can understand the relevant descriptions and effects corresponding to the steps, and will not go into details here.

[0160] The present application also provides a readable storage medium, which stores execution instructions. When at least one processor of a device for generating washing recommendation parameters executes the execution instructions, when the computer execution instructions are executed by the processor, the method for generating washing recommendation parameters provided in the above-mentioned various embodiments is implemented.

[0161] The present application also provides a program product, comprising executable instructions stored in a readable storage medium. At least one processor of a device for generating wash recommendation parameters can read the executable instructions from the readable storage medium, and at least one processor executes the executable instructions so that the device for generating wash recommendation parameters implements the methods for generating wash recommendation parameters provided in the various embodiments described above.

[0162] In the several embodiments provided in this 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 merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods, 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.

[0163] Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected to achieve the purpose of this embodiment based on actual needs.

[0164] In addition, the functional modules in the various embodiments of the present application may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0165] 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 and includes a number of instructions for causing a computer device (which can be a personal computer, server, or 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 code.

[0166] Finally, it should be noted that the above embodiments are intended only to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the scope of protection of this application is clearly not limited to these specific embodiments. Without departing from the principles of this application, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of this application.

Claims

1. A method for generating washing recommendation parameters, characterized in that: The method comprises: Obtaining laundry parameters of a preset application of each user; wherein the laundry parameters include one or more of the number of washes, the duration of the wash, the type of laundry program used, the time the preset application is used, and the number of times the preset application is accessed by other users; Determine the laundry score of each user based on the laundry parameters corresponding to each user; For each user, generating washing recommendation parameters for the user according to the user's laundry score; Determine each user's laundry score based on their corresponding laundry parameters, including: For each user, a bonus value corresponding to each laundry parameter is determined according to each laundry parameter corresponding to the user; and a laundry score of the user is determined according to the bonus value corresponding to each laundry parameter of the user.

2. The method according to claim 1, characterized in that Get the laundry parameters of each user's preset application, including: Record each user's preset application program's various washing parameters within a preset time period.

3. The method according to claim 1, characterized in that Determining, according to the laundry parameters of the user within a preset time period, a bonus value corresponding to the laundry parameters, including: Obtaining a corresponding relationship between the laundry parameters and the bonus points; According to the corresponding relationship between the laundry parameters and the corresponding bonus points, the bonus points corresponding to the laundry parameters are calculated.

4. The method according to any one of claims 1 to 3, characterized in that For each user, determining a bonus value corresponding to each laundry parameter according to each laundry parameter corresponding to the user; After determining the user's laundry score according to the bonus points corresponding to the various laundry parameters of the user, the method further includes: Determine the laundry ranking of each user based on the laundry scores of each user in the preset area.

5. The method according to claim 4, characterized in that Generating washing recommendation parameters for the user according to the user's laundry score, including: According to the laundry ranking of the user, a washing recommendation parameter of the user is determined, so that the user determines a washing parameter of a laundry treatment device based on the washing recommendation parameter.

6. The method according to any one of claims 1 to 3, characterized in that The method further comprises: Initialize the laundry score of each user according to a preset period to obtain the initial score of each user; Accordingly, for each user, determining a bonus value corresponding to each laundry parameter according to each laundry parameter corresponding to the user; and determining the laundry score of the user according to the bonus value corresponding to each laundry parameter of the user, including: The laundry score of each user in the preset period is determined based on the initial score of each user corresponding to the preset period and the added score corresponding to each laundry parameter of each user in the preset period.

7. A device for generating washing recommended parameters, characterized in that: The device comprises: a laundry parameter acquisition module, configured to acquire laundry parameters of a preset application of each user; wherein the laundry parameters include one or more of the number of washes, the duration of the wash, the type of laundry program used, the time the preset application is used, and the number of times the preset application is accessed by other users; A laundry score determination module, configured to determine the laundry score of each user based on the laundry parameters corresponding to each user; A recommended parameter generation module, configured to generate, for each user, a recommended washing parameter for the user according to the user's laundry score; The laundry score determination module includes: a bonus value determining unit, configured to determine, for each user, a bonus value corresponding to each laundry parameter corresponding to the user; The laundry score determining unit is configured to determine the laundry score of the user according to the added points corresponding to each laundry parameter of the user.

8. A device for generating washing recommended parameters, characterized in that: include: 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 executes the method for generating washing recommendation parameters 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 generating washing recommendation parameters according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for generating washing recommendation parameters according to any one of claims 1 to 6 is implemented.

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