WO2022033279A1

WO2022033279A1 - Method and device for determining wash cycle, and washing machine

Info

Publication number: WO2022033279A1
Application number: PCT/CN2021/107429
Authority: WO
Inventors: 张海雪; 辛耀东; 张纯锋; 王正涛; 林炀平; 宋学武
Original assignee: 重庆海尔滚筒洗衣机有限公司; 海尔智家股份有限公司
Priority date: 2020-08-11
Filing date: 2021-07-20
Publication date: 2022-02-17
Also published as: CN114075742B; CN114075742A

Abstract

The present application relates to the technical field of speech control, and specifically relates to a method and device for determining a wash cycle, and a washing machine. The present application aims to solve the problem in existing washing machines of poor convenience in setting a wash cycle. The method for determining a wash cycle provided by the present application comprises: obtaining laundry data of laundry to be washed of a target user, and a user type of the target user; uploading the user type and the laundry data to a blockchain, so that the blockchain determines, according to the user type and the laundry data, a wash cycle of said laundry; and obtaining the wash cycle so as to wash said laundry according to the wash cycle. According to the present application, a wash cycle is automatically recommended on the basis of the blockchain according to the user type and the laundry data, the convenience of setting the wash cycle is improved, the intelligent degree of the washing machine is improved, user time is saved, and user experience is improved.

Description

Method, device and washing machine for determining washing mode

This application claims the priority of the Chinese patent application with the application number 202010800587.X and the application title "Method, Apparatus and Washing Machine for Determining Laundry Modes" filed with the China Patent Office on August 11, 2020, the entire contents of which are incorporated by reference in this application.

technical field

The present application belongs to the technical field of voice control, and in particular relates to a method and device for determining a laundry mode, and a washing machine.

Background technique

With the continuous development of industrial technology, fully automatic washing machines have been favored by the public due to their excellent convenience and become an indispensable household appliance in people's lives.

At present, when using a fully automatic washing machine to wash clothes, the user often needs to manually set the washing mode. Due to the continuous refinement of the washing mode of the washing machine, the washing procedures and parameters included in the washing machine are becoming more and more complicated, and the setting of the washing mode takes a lot of time. Poor convenience and poor user experience.

SUMMARY OF THE INVENTION

In order to solve the above problems in the prior art, that is, in order to solve the problem that the existing washing mode is less convenient to set, the present application provides a washing mode determination method, device and washing machine. The washing mode determination method, The laundry mode is automatically determined through the user type and clothing data, which realizes the self-adaptive setting of the laundry mode, has high convenience and improves user experience.

In a first aspect, an embodiment of the present application provides a method for determining a washing mode, the method is applied to a washing machine, and the method includes:

Acquiring the clothes data of the target user's clothes to be washed and the user type of the target user;

uploading the user type and the clothing data to the blockchain, so that the blockchain determines the laundry mode of the laundry according to the user type and the clothing data;

The laundry mode is acquired, so as to wash the laundry according to the laundry mode.

Optionally, the clothing data includes data such as the type, material, and weight of the laundry to be washed.

Optionally, the clothes data includes clothes weight and clothes material of the clothes to be washed, and the acquiring the clothes data of the clothes to be washed of the target user includes:

Identify the clothes material of the clothes to be washed according to the label information of the clothes to be washed;

The laundry weight of the laundry to be washed is determined according to the weight sensing chip.

Optionally, the obtaining the user type of the target user includes:

The user type of the target user is determined according to the historical laundry data of the target user.

Optionally, determining the user type of the target user according to the historical laundry data of the target user includes:

Determine the average, maximum and mode of the target user's laundry frequency and laundry volume according to the target user's historical laundry data;

The user type of the target user is determined according to the washing frequency of the target user and at least one of an average value, a maximum value and a mode of the laundry amount.

Optionally, after acquiring the washing mode, the method further includes:

displaying the washing mode;

obtaining user adjustment instructions, and adjusting the laundry mode according to the user adjustment instructions;

Correspondingly, the washing of the laundry according to the washing mode includes:

The laundry is washed according to the adjusted washing mode.

Optionally, the washing mode includes the combination of washing programs, the amount of detergent, and the number, time and rotation speed of each washing program.

Optionally, after adjusting the washing mode according to the user adjustment instruction, the method further includes:

Upload the user type of the target user, the laundry data of the laundry to be washed, and the adjusted laundry mode to the blockchain.

In a second aspect, an embodiment of the present application also provides a method for determining a laundry mode, the method is applied to a server, and the method includes:

receiving the laundry data of the laundry of the target user and the user type of the target user;

Determine the laundry mode of the laundry according to the user type and the laundry data via the blockchain;

The washing mode is sent to the washing machine, so that the washing machine washes the laundry according to the washing mode.

Optionally, determining the laundry mode of the laundry according to the user type and the laundry data via the blockchain includes:

Obtain the on-chain laundry mode and on-chain clothing data of each user of the user type stored on the blockchain according to the user type via the blockchain;

A washing mode of the to-be-washed laundry is determined from the on-chain laundry modes according to the laundry data of the to-be-washed laundry and the on-chain laundry data.

Optionally, after the washing mode is sent to the washing machine, the method further includes:

The adjusted laundry mode is acquired, and the user type of the target user, the clothes data of the laundry to be washed, and the adjusted laundry mode are stored in the blockchain.

In a third aspect, an embodiment of the present application further provides a device for determining a washing mode, the device comprising:

a data acquisition module, configured to acquire the clothes data of the target user's clothes to be washed and the user type of the target user;

a data uploading module for uploading the user type and the clothing data to the blockchain, so that the blockchain determines the laundry mode of the laundry according to the user type and the clothing data;

The laundry mode acquisition module is configured to acquire the laundry mode, so as to wash the laundry according to the laundry mode.

Optionally, the data acquisition module includes:

a clothing data acquisition unit, configured to acquire clothing data of the target user's laundry;

A user type acquiring unit, configured to acquire the user type of the target user.

Optionally, the clothing data includes clothing weight and clothing material of the clothing to be washed, and the clothing data acquisition unit includes:

a material identification subunit, used for identifying the clothing material of the laundry according to the label information of the laundry;

The weight determination subunit is used for determining the laundry weight of the laundry according to the weight sensing chip.

Optionally, the user type acquiring unit is specifically used for:

Determine the washing frequency of the target user and the average, maximum and mode of the laundry amount according to the historical laundry data of the target user; according to the washing frequency of the target user, and the average, maximum and mode of the laundry at least one of the numbers to determine the user type of the target user.

Optionally, the device for determining the washing mode further includes:

a laundry mode display module, configured to display the laundry mode after acquiring the laundry mode;

The laundry mode adjustment module is configured to acquire a user adjustment instruction, and adjust the laundry mode according to the user adjustment instruction, so as to wash the laundry according to the adjusted laundry mode.

Optionally, the device for determining the washing mode further includes:

The data uploading module is configured to upload the user type of the target user, the clothes data of the laundry to be washed and the adjusted laundry mode to the blockchain after adjusting the laundry mode according to the user adjustment instruction.

In a fourth aspect, an embodiment of the present application further provides a device for determining a washing mode, the device comprising:

a data receiving module, configured to receive the clothes data of the target user's clothes to be washed and the user type of the target user;

a laundry mode determination module, configured to determine the laundry mode of the laundry according to the user type and the laundry data via the blockchain;

The washing mode sending module is configured to send the washing mode to the washing machine, so that the washing machine can wash the laundry according to the washing mode.

Optionally, the washing mode determination module is specifically used for:

Optionally, the device for determining the washing mode further includes:

a data storage module for acquiring the adjusted washing mode after sending the washing mode to the washing machine, and storing the user type of the target user, the clothes data of the laundry to be washed and the adjusted washing mode in the blockchain.

In a fifth aspect, an embodiment of the present application further provides a washing machine, the washing machine comprising: a memory and at least one processor; the memory stores computer-executed instructions; the at least one processor executes the computer-executed instructions stored in the memory, The at least one processor is caused to execute the method for determining a laundry mode provided by any embodiment corresponding to the first aspect of the present application.

In a sixth aspect, an embodiment of the present application further provides a server, where the server includes a memory and at least one processor; the memory stores computer-executed instructions; the at least one processor executes the computer-executed instructions stored in the memory, The at least one processor is caused to execute the method for determining a laundry mode provided by any embodiment of the present application.

In a seventh aspect, the embodiments of the present application further provide a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, any implementation in the present application is implemented. The example provides the method of determining the washing mode.

It can be understood by those skilled in the art that the method, device and washing machine for determining the laundry mode provided in the embodiments of the present application, according to the user's clothing data of the laundry to be washed and the user's type, based on the data stored in the blockchain, automatically for the user The recommended laundry mode improves the convenience of laundry mode setting, improves the intelligence of the washing machine, saves user time, and improves user experience.

Description of drawings

The preferred embodiments of the method, device and washing machine for determining a washing mode of the present application will be described below with reference to the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the application. Attached is:

1 is an application scenario diagram of the method for determining a laundry mode provided by an embodiment of the present application;

2 is a flowchart of a method for determining a laundry mode provided by an embodiment of the present application;

3 is a flowchart of a method for determining a laundry mode provided by another embodiment of the present application;

FIG. 4 is a flowchart of step S302 in the embodiment shown in FIG. 3 of the present application;

5 is a flowchart of a method for determining a laundry mode provided by another embodiment of the present application;

6 is a schematic structural diagram of a device for determining a washing mode provided by an embodiment of the present application;

7 is a schematic structural diagram of a device for determining a laundry mode provided by another embodiment of the present application;

8 is a schematic structural diagram of a washing machine provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a server provided by an embodiment of the present application.

detailed description

In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the embodiments of the present application. Obviously, the described embodiments are part of the implementation of the present application. examples, but not all examples. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

The technical solutions of the present application and how the technical solutions of the present application solve the above-mentioned technical problems will be described in detail below with specific examples. The following specific embodiments may 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 with reference to the accompanying drawings.

The application scenarios of the embodiments of the present application are explained below:

FIG. 1 is an application scenario diagram of the method for determining a laundry mode provided by an embodiment of the present application. As shown in FIG. 1 , the method for determining a laundry mode provided by an embodiment of the present application may run on an electronic device, such as a processor or a server. , washing machine, etc. The fully automatic washing machine 100 generally includes a casing 110, a washing tub 120 and an operation interface 130. Before washing clothes, the user can set the washing mode through the relevant buttons or the touch screen of the operation interface 130, such as the common mode, the gentle mode, the quick washing mode, etc. Then, the washing machine 100 controls parameters such as the rotation mode and time of the washing tub 120 according to the washing machine mode, so as to realize the laundry washing in the washing mode.

However, as people's requirements for laundry cleaning become higher and higher, the built-in laundry modes of the washing machine 100 also become more and more complicated and cumbersome. Users cannot quickly determine the appropriate laundry mode according to the situation of the laundry, and the setting of the laundry mode is time-consuming, Effortless and less convenient.

In view of the above problems, the main idea of the method for determining the laundry mode provided by the embodiment of the present application is: according to the situation of the user's laundry and the type of the user, the laundry mode is automatically determined based on the blockchain, which improves the convenience of laundry mode setting. Improved user experience.

FIG. 2 is a flowchart of a method for determining a washing mode provided by an embodiment of the present application. The method for determining a washing machine mode is applied to a washing machine. As shown in FIG. 2 , the method for determining a washing mode includes the following steps:

Step S201, acquiring clothing data of the laundry to be washed of the target user and the user type of the target user.

The target user may be any user who operates the washing machine, such as student A, employee B, or mother C, and so on. The laundry to be washed is the laundry that needs to be washed by a washing machine, such as dry cleaning or water washing. The laundry data may include data such as the type, weight, and material of the laundry to be washed. User types may include student type, office worker type, family type, and so on.

Specifically, the laundry data of the laundry to be washed may be collected based on sensors of the washing machine, such as gravity sensors, vision sensors, and the like.

Specifically, the user type of the target user may be input by the user, such as input through a relevant operation interface of the washing machine, which may be input by keys, voice input, and touch screen input. The user type of the target user can also be determined according to the target user's account information. The account information can be the account information of the target user logging in to the relevant program of the washing machine, and can be information such as mobile phone number, nickname, ID and so on.

Further, the user type of the target user can be determined according to the image information by collecting the image information of the target user based on the face recognition module of the washing machine.

Further, the laundry can be identified according to the visual sensor of the washing machine, such as the label, color, size, material and style of the laundry, and the user type of the target user and the laundry data of the laundry can be determined according to the identification result.

Optionally, the obtaining the user type of the target user includes:

Among them, the historical laundry data is the data of the target user's laundry in the historical time, including data such as laundry mode, laundry frequency, and laundry amount.

Step S202, uploading the user type and the clothing data to the blockchain, so that the blockchain determines the laundry mode of the laundry according to the user type and the clothing data.

Among them, the washing mode can be a quick washing mode, a common mode, a large-size mode, a gentle mode, etc., and can include a combination of washing programs, the number of times of each washing program, the running time of each washing program, the total washing time, and the amount of detergent. And parameters such as the rotation speed and rotation mode of the washing tub.

Exemplarily, the quick wash mode may be 2 times of washing, 2 times of rinsing and 1 time of dehydration, the time of each washing program is: washing 8 minutes, rinsing 5 minutes, dehydrating 3 minutes, the rotation speed of washing and rinsing is 800 rpm .

Blockchain is a distributed database with three main characteristics: first, it uses hash algorithm to store data structure, which improves the traceability of data; second, there are multiple nodes participating in the operation of the system, which reflects the The distributed characteristics realize decentralization or weak centralization; thirdly, through a certain protocol or algorithm, a consensus is reached on the consistency of the saved data, which is called a consensus algorithm, which effectively prevents the data in the blockchain from being destroyed. Malicious tampering.

Specifically, the user type and clothing data can be uploaded to the blockchain management node, and the blockchain management node searches for matching historical data from the blockchain according to the user type and clothing data, and determines the corresponding historical data according to the laundry mode of the historical data. Describes the washing mode of the laundry to be washed.

Further, the above-mentioned blockchain management node may be a node of the blockchain corresponding to the washing machine used by the target user. A blockchain management node can correspond to one or more washing machines.

Specifically, the user type, historical laundry data and corresponding laundry mode of each user are stored in the blockchain.

Step S203, acquiring the laundry mode, so as to wash the laundry according to the laundry mode.

Specifically, the laundry mode can be sent to the washing machine through the above-mentioned blockchain management node, so that the washing machine can wash the laundry of the target user according to the laundry mode.

The method for determining the laundry mode provided by the embodiment of the present application automatically recommends the laundry mode for the user according to the clothing data of the user's laundry and the type of the user, and based on the data stored in the blockchain, which improves the convenience of setting the laundry mode. The intelligent degree of the washing machine is improved, the user time is saved, and the user experience is improved.

Fig. 3 is a flowchart of a method for determining a laundry mode provided by another embodiment of the present application. This embodiment further refines step S201 on the basis of the embodiment shown in Fig. 2, and adds adjustment after step S203 Laundry mode and steps of data uploading. As shown in Figure 3, the method for determining the laundry mode provided by this embodiment includes the following steps:

In step S301, the clothes data of the clothes to be washed of the target user are acquired.

Identify the clothes material of the clothes to be washed according to the label information of the clothes to be washed; determine the clothes weight of the clothes to be washed according to the weight sensing chip.

Wherein, the label information usually includes information such as the commodity name, commodity code, quality grade, product composition, size, product barcode, and washing method of the clothing. Further, data such as the material, quality level, size and brand of the laundry can be determined by identifying the label information of the laundry.

Specifically, a visual sensor, such as a camera, a camera, etc., can capture an image of the laundry, identify the label information in the image, and determine the clothing material of the laundry according to the label information.

Step S302, determining the user type of the target user according to the historical laundry data of the target user.

Optionally, FIG. 4 is a flowchart of step S302 in the embodiment shown in FIG. 3 of the present application. As shown in FIG. 4 , step S302 includes:

Step S3021, according to the historical laundry data of the target user, determine the average, maximum and mode of the target user's laundry frequency and laundry amount.

The historical laundry data of the target user may be historical data of recent laundry of the target user, such as laundry data of the last year, laundry data of the last half year, or laundry data of other time ranges. The average of the laundry amount can be the average of the number of laundry pieces or the average of the laundry weight.

Specifically, the target user's laundry date, laundry weight, number of pieces, laundry mode, water consumption and other information during each laundry in the last year can be counted, and then the laundry frequency of the target user can be determined according to each laundry date. The laundry weight and/or the number of pieces determines the average of the laundry load.

Step S3022: Determine the user type of the target user according to the washing frequency of the target user and at least one of the average value, the maximum value and the mode of the laundry amount.

Specifically, the user type of the target user may be determined according to the average value of the target user's laundry frequency and laundry volume. The user type of the target user can be determined according to the corresponding relationship and the average value of the target user's washing frequency and the washing amount by establishing a corresponding relationship between the washing frequency, the average washing amount and the user type in advance.

Specifically, the user type of the target user is determined according to the laundry frequency of the target user, the average value, the maximum value and the mode of the laundry amount.

Further, if the washing frequency of the target user is located in the first frequency interval, the average value of the laundry amount is located in the first average value interval, the maximum value of the laundry amount is less than the first preset threshold, and the mode of the laundry amount is located in the first average value. If the target user's laundry frequency is in the second frequency interval, the average value of the laundry amount is in the second average interval, and the maximum value of the laundry amount is less than the second preset value Threshold, the mode of the laundry amount is in the second mode interval, then it is determined that the user type of the target user is an office worker type; if the laundry frequency of the target user is in the third frequency interval, the average value of the laundry amount is in the third average value interval, the maximum value of the laundry amount is less than the third preset threshold, and the mode of the laundry amount is located in the third mode interval, then it is determined that the user type of the target user is a family type, wherein the third preset threshold value is greater than the second preset threshold value , the second preset threshold is greater than the first preset threshold, the upper limit of the third frequency interval is greater than the upper limit of the second frequency interval, and the upper limit of the second frequency interval is greater than the upper limit of the first frequency.

Further, the user type of the target user may be determined according to the target user's washing frequency, common washing modes, average value, maximum value and mode of the laundry amount.

Exemplarily, if the historical laundry data of user S is: the common laundry mode is standard washing, the laundry frequency is once a week, the average laundry volume per time is (5, 8) pieces, and the average weight of each laundry is below 2kg , then it is determined that the user type of user S is a student; and if the historical laundry data of user M is: no common laundry mode, laundry frequency is once every 3 days, and the average amount of laundry per time is less than (8, 10) If the gravity of the first laundry is in the range of 2kg to 4kg, it is determined that the user type of user M is a family type; if the historical laundry data of user W is: the common washing machine mode is quick wash, the washing frequency is 1.5 times a week, and the average amount of laundry per time is If it is less than 5 pieces, and the average gravity of each laundry is less than 1kg, then it is determined that the user type of user W is an office worker type.

Step S303, uploading the user type and the clothes data to the blockchain, so that the blockchain determines the washing mode of the clothes to be washed according to the user type and the clothes data.

Step S304, acquiring and displaying the laundry mode.

Specifically, the washing mode can be displayed through a display screen of the washing machine, or the washing mode can be displayed through an indicator light.

Exemplarily, if the washing mode is the quick washing mode, the indicator light corresponding to the washing mode on the washing machine is on.

Specifically, displaying the washing mode includes: displaying the name of the washing mode, each washing program corresponding to the washing mode, the number of times of the washing program, and the like.

Step S305, acquiring a user adjustment instruction, and adjusting the laundry mode according to the user adjustment instruction.

Among them, the user's adjustment instruction can be through an input module on the washing machine, such as a button, a touch screen, a microphone, a camera, and the like. The user adjustment instruction may be in the form of a user voice instruction, a user gesture instruction, a key instruction, and the like.

Exemplarily, if the currently determined washing mode is the quick washing mode, and the user increases the washing time of the quick washing mode by 3 minutes and increases the number of rinsing by one according to their own needs, a new adjusted washing mode is obtained.

Further, the adjusted laundry mode can also be saved, for example, stored as the target user's first laundry mode.

Step S306, upload the user type of the target user, the clothing data of the laundry to be washed, and the adjusted laundry mode to the blockchain.

Specifically, the laundry mode, user type, and laundry data adjusted by each target user are uploaded to the node of the blockchain, and then stored in the blockchain to update the data stored in the blockchain, thereby improving the The accuracy of blockchain recommended laundry patterns.

Step S307, the laundry to be washed is washed according to the adjusted washing mode.

In this embodiment, the user type is determined according to parameters such as the laundry frequency and the average laundry volume in the user's historical laundry data, and the laundry data of the laundry to be washed is identified based on the sensor of the washing machine, and the user type and laundry data are uploaded to the blockchain. , according to the user type of the target user and the clothes data of the clothes to be washed, based on the data stored in the blockchain, a suitable washing mode is automatically recommended for them, and then the user can directly wash the clothes according to the washing mode, or perform the washing mode on the washing mode. Adjustment, washing clothes according to the adjusted laundry mode, which simplifies the setting of the laundry mode, and at the same time, the laundry mode recommendation accuracy is high, which is closer to the user's needs, and improves the intelligence of the washing machine and the user experience. The latest laundry mode and related data are uploaded to the blockchain to update the data stored in the blockchain and improve the accuracy of laundry mode recommendation.

FIG. 5 is a flowchart of a method for determining a laundry mode provided by another embodiment of the present application. The method for determining a laundry mode provided by this embodiment is applied to a server, such as a blockchain server. As shown in FIG. 5 , this embodiment provides The determination method of the laundry mode includes the following steps:

Step S501, receiving clothing data of the target user's clothes to be washed and the user type of the target user.

Step S502, via the blockchain, determine the laundry mode of the laundry according to the user type and the laundry data.

Obtain the on-chain laundry mode and on-chain clothing data of each user of the user type stored on the blockchain according to the user type via the blockchain; according to the clothing data of the laundry to be washed and the chain The laundry data is used to determine the laundry mode of the to-be-washed laundry from the on-chain laundry mode.

Step S503, sending the washing mode to the washing machine, so that the washing machine washes the laundry according to the washing mode.

In this embodiment, according to the user type of the target user and the laundry type of the laundry to be washed, a suitable washing mode is automatically matched through the blockchain, and the washing mode is sent to the washing machine, so that the washing machine can wash according to the washing mode, The laundry mode is automatically determined, the convenience of setting the laundry mode is improved, the intelligence of the washing machine is improved, the user time is saved, and the user experience is improved.

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

FIG. 6 is a schematic structural diagram of an apparatus for determining a laundry mode provided by an embodiment of the present application. As shown in FIG. 6 , the apparatus for determining a laundry mode includes a data acquisition module 610 , a data upload module 620 and a laundry mode acquisition module 630 .

Among them, the data acquisition module 610 is used to acquire the clothing data of the target user's laundry and the user type of the target user; the data upload module 620 is used to upload the user type and the clothing data to the blockchain , so that the blockchain determines the laundry mode of the laundry according to the user type and the laundry data; the laundry mode acquisition module 630 is used to acquire the laundry mode, so as to perform all the laundry operations according to the laundry mode. Describe the washing of laundry.

Optionally, the data acquisition module 610 includes:

The clothing data acquisition unit is used to acquire the clothing data of the laundry of the target user; the user type acquisition unit is used to acquire the user type of the target user.

The material identification subunit is used for identifying the clothing material of the laundry according to the label information of the laundry; the weight determination subunit is used for determining the laundry weight of the laundry according to the weight sensing chip.

Optionally, the user type acquiring unit is specifically used for:

Optionally, the device for determining the washing mode further includes:

FIG. 7 is a schematic structural diagram of a device for determining a laundry mode provided by another embodiment of the present application. As shown in FIG. 7 , the device for determining a laundry mode includes: a data receiving module 710 , a laundry mode determining module 720 and a laundry mode sending module 730 .

Among them, the data receiving module 710 is used to receive the clothes data of the target user's clothes to be washed and the user type of the target user; the laundry mode determination module 720 is used to, via the blockchain, according to the user type and the clothes The data determines the laundry mode of the laundry; the laundry mode sending module 730 is configured to send the laundry mode to the washing machine, so that the washing machine washes the laundry according to the laundry mode.

Optionally, the laundry mode determination module 720 is specifically configured to:

Optionally, the device for determining the washing mode further includes:

FIG. 8 is a schematic structural diagram of a washing machine provided by an embodiment of the present application. As shown in FIG. 8 , the washing machine includes: a memory 810 and at least one processor 820 .

The computer program is stored in the memory 810 and configured to be executed by the processor 820 to implement the method for determining the laundry mode provided by any one of the embodiments corresponding to FIG. 2 to FIG. 4 of the present application.

The memory 810 and the processor 820 are connected through a bus 830 .

The relevant descriptions can be understood by referring to the relevant descriptions and effects corresponding to the steps in FIG. 2 to FIG. 4 , and details are not repeated here.

FIG. 9 is a schematic structural diagram of a server provided by an embodiment of the present application. As shown in FIG. 9 , the server includes: a memory 910 and at least one processor 920 .

The computer program is stored in the memory 910 and configured to be executed by the processor 920 to implement the method for determining the laundry mode provided by any one of the embodiments corresponding to FIG. 2 to FIG. 5 of the present application.

The memory 910 and the processor 920 are connected through a bus 930 .

The related descriptions can be understood by referring to the related descriptions and effects corresponding to the steps in FIG. 2 to FIG. 5 , and details are not repeated here.

The present application further provides a readable storage medium, where execution instructions are stored in the readable storage medium. When at least one processor of the voice interaction device executes the execution instructions, when the computer execution instructions are executed by the processor, the above embodiments are implemented The method of determining the laundry mode in .

The present application also provides a program product comprising executable instructions stored in a readable storage medium. At least one processor of the washing machine may read the execution instruction from the readable storage medium, and the at least one processor executes the execution instruction to cause the voice interaction device to implement the method for determining the laundry mode provided by the above-mentioned various embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods, for example, multiple modules or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical, mechanical or other forms.

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

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically alone, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

The above-mentioned integrated modules implemented in the form of software functional modules can be stored in a computer-readable storage medium. The above-mentioned software function modules are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to execute the methods of the various embodiments of the present application. some steps. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access memory (English: Random Access Memory, referred to as: RAM), magnetic disk or optical disk, etc. Various media that can store program code.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: Those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art can make equivalent modifications or substitutions to the relevant technical features, and the technical solutions after these modifications or substitutions will fall within the protection scope of the present application.

Claims

A method for determining a washing mode, wherein the method is applied to a washing machine, and the method comprises:

Acquiring the clothes data of the target user's clothes to be washed and the user type of the target user;

uploading the user type and the clothing data to the blockchain, so that the blockchain determines the laundry mode of the laundry according to the user type and the clothing data;

The laundry mode is acquired, so as to wash the laundry according to the laundry mode.
The method according to claim 1, wherein acquiring the clothes data of the clothes to be washed of the target user comprises:

The laundry data of the laundry is collected based on the sensors of the washing machine.
The method according to claim 1, wherein the clothes data includes clothes weight and clothes material of the clothes to be washed, and the acquiring the clothes data of the clothes to be washed of the target user includes:

Identify the clothes material of the clothes to be washed according to the label information of the clothes to be washed; determine the clothes weight of the clothes to be washed according to the weight sensing chip.
The method according to any one of claims 1-3, wherein the acquiring the user type of the target user comprises:

Based on the face recognition module on the washing machine, the image information of the target user is collected;

According to the image information, the user type of the target user is determined.
The method according to any one of claims 1-3, wherein the acquiring the user type of the target user comprises:

The user type of the target user is determined according to the historical laundry data of the target user.
The method according to claim 5, wherein the historical laundry data includes one or more of the target user's laundry mode, laundry frequency and laundry volume in historical time.
The method according to any one of claims 1-6, wherein the clothing data includes one or more of the type, weight and material of the laundry to be washed.
The method according to claim 5, wherein the determining the user type of the target user according to the historical laundry data of the target user comprises:

Determine the average, maximum and mode of the target user's laundry frequency and laundry volume according to the target user's historical laundry data;

The user type of the target user is determined according to the washing frequency of the target user and at least one of an average value, a maximum value and a mode of the laundry amount.
The method according to claim 8, characterized in that determining the user type of the target user according to the washing frequency of the target user and at least one of an average value, a maximum value and a mode of the laundry amount, comprising: :

If the washing frequency of the target user is in the first frequency interval, the average value of the laundry amount is in the first average interval, the maximum value of the laundry amount is less than the first preset threshold, and the mode of the laundry amount is in the first mode interval, then determine that the user type of the target user is the student type; and/or,

If the washing frequency of the target user is in the second frequency interval, the average value of the laundry amount is in the second average interval, the maximum value of the laundry amount is less than the second preset threshold, and the mode of the laundry amount is in the second mode interval, Then it is determined that the user type of the target user is an office worker type; and/or,

If the washing frequency of the target user is in the third frequency interval, the average value of the laundry amount is in the third average interval, the maximum value of the laundry amount is less than the third preset threshold, and the mode of the laundry amount is in the third mode interval, Then it is determined that the user type of the target user is the family type;

The third preset threshold is greater than the second preset threshold, the second preset threshold is greater than the first preset threshold, and the upper limit of the third frequency interval is greater than the second frequency The upper limit of the interval, the upper limit of the second frequency interval is greater than the upper limit of the first frequency.
The method according to claim 8, characterized in that determining the user type of the target user according to the washing frequency of the target user and at least one of an average value, a maximum value and a mode of the laundry amount, comprising: :

The user type of the target user is determined according to the target user's laundry frequency, common laundry patterns, average value, maximum value and mode of laundry amount.
The method according to any one of claims 1-10, wherein after acquiring the laundry mode, further comprising:

displaying the washing mode;

obtaining user adjustment instructions, and adjusting the laundry mode according to the user adjustment instructions;

Correspondingly, the washing of the laundry according to the washing mode includes:

The laundry is washed according to the adjusted washing mode.
The method according to claim 11, wherein after adjusting the laundry mode according to the user adjustment instruction, further comprising:

Upload the user type of the target user, the laundry data of the laundry to be washed, and the adjusted laundry mode to the blockchain.
A method for determining a laundry mode, wherein the method is applied to a server, and the method includes:

receiving the laundry data of the laundry of the target user and the user type of the target user;

Determine the laundry mode of the laundry according to the user type and the laundry data via the blockchain;

The washing mode is sent to the washing machine, so that the washing machine washes the laundry according to the washing mode.
The method according to claim 13, wherein determining the laundry mode of the laundry according to the user type and the laundry data via the blockchain, comprising:

Obtain the on-chain laundry mode and on-chain clothing data of each user of the user type stored on the blockchain according to the user type via the blockchain;

A washing mode of the to-be-washed laundry is determined from the on-chain laundry modes according to the laundry data of the to-be-washed laundry and the on-chain laundry data.
The method according to claim 13 or 14, wherein after sending the washing mode to the washing machine, the method further comprises:

Get the adjusted laundry mode;

The user type of the target user, the laundry data of the laundry to be washed, and the adjusted laundry mode are stored in the blockchain.
A device for determining a washing mode, characterized in that the device comprises:

a data acquisition module, configured to acquire the clothes data of the target user's clothes to be washed and the user type of the target user;

a data uploading module for uploading the user type and the clothing data to the blockchain, so that the blockchain determines the laundry mode of the laundry according to the user type and the clothing data;

The laundry mode acquisition module is configured to acquire the laundry mode, so as to wash the laundry according to the laundry mode.
A device for determining a washing mode, characterized in that the device comprises:

a data receiving module, configured to receive the clothes data of the target user's clothes to be washed and the user type of the target user;

a laundry mode determination module, configured to determine the laundry mode of the laundry according to the user type and the laundry data via the blockchain;

A washing mode sending module, configured to send the washing mode to a washing machine, so that the washing machine can wash the laundry according to the washing mode.
A washing machine, characterized in that the washing machine includes 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 determining a laundry mode according to any one of claims 1-12.
A server, characterized in that the server includes 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 of determining a laundry mode according to any one of claims 13-15.
A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when a processor executes the computer-executable instructions, the computer-executable instructions according to any one of claims 1-15 are implemented. How to determine the laundry mode.