CN112430974A

CN112430974A - Washing clothes recommending method, clothes washing method, intelligent wardrobe and washing machine

Info

Publication number: CN112430974A
Application number: CN202011184542.0A
Authority: CN
Inventors: 吴婕
Original assignee: Shenzhen TCL New Technology Co Ltd
Current assignee: Shenzhen TCL New Technology Co Ltd
Priority date: 2020-10-29
Filing date: 2020-10-29
Publication date: 2021-03-02
Anticipated expiration: 2040-10-29
Also published as: CN112430974B

Abstract

The invention discloses a clothes washing recommendation method, which is used for an intelligent wardrobe and comprises the following steps: when a washing instruction is received, acquiring target use days of target clothes in a historical use information set, wherein the historical use information set stores the use days of different clothes; acquiring a target clothes type of the target clothes; screening recommended washing clothes from the target clothes based on the target clothes type and the target use days; and outputting recommended clothes information corresponding to the recommended washed clothes. The invention also discloses a clothes cleaning method, an intelligent wardrobe, a washing machine and a computer readable storage medium. The clothes to be washed do not need to be manually determined from the intelligent wardrobe, and user experience is good.

Description

Washing clothes recommending method, clothes washing method, intelligent wardrobe and washing machine

Technical Field

The invention relates to the technical field of intelligent wardrobes, in particular to a clothes washing recommendation method, a clothes washing method, an intelligent wardrobe, a washing machine and a computer readable storage medium.

Background

Generally, when a user washes laundry, the user manually determines the laundry to be washed from the intelligent wardrobe, puts the laundry into the washing machine, and then washes the laundry by the washing machine.

However, when the user washes the laundry, the user needs to manually determine the laundry to be washed, and the user experience is poor.

Disclosure of Invention

The invention mainly aims to provide a washing clothes recommending method, a clothes washing method, an intelligent wardrobe, a washing machine and a computer readable storage medium, and aims to solve the technical problem that in the prior art, a user is difficult to determine clothes to be washed.

In order to achieve the purpose, the invention provides a clothes washing recommendation method which is used for an intelligent wardrobe and comprises the following steps:

when a washing instruction is received, acquiring target use days of target clothes in a historical use information set, wherein the historical use information set stores the use days of different clothes;

acquiring a target clothes type of the target clothes;

screening recommended washing clothes from the target clothes based on the target clothes type and the target use days;

and outputting recommended clothes information corresponding to the recommended washed clothes.

Optionally, the step of obtaining the recommended washing laundry information based on the target laundry type and the target usage days includes:

obtaining preset use days of the target clothes according to the type of the target clothes;

and screening the recommended washing clothes of which the target use days are greater than or equal to the preset use days from the target clothes.

Optionally, before the step of obtaining the target usage days of the target laundry in the historical usage information set when the washing instruction is received, the method further includes:

acquiring the end date of the previous washing action of the target clothes, and zeroing the use days of the target clothes;

counting the number of times of appearance of the target clothes in the intelligent wardrobe every day by taking the ending date as a time starting point;

updating the usage days after the zeroing on the basis of the occurrence times to obtain new usage days;

based on the new number of usage days, a historical usage information set is obtained.

Optionally, the updating the usage days after the zeroing based on the occurrence number, and the step of obtaining a new usage day includes:

judging whether the occurrence frequency of the target clothes in the previous day meets a preset condition at the zero point of each day;

determining the number of usage days of the previous day as a new number of usage days when the number of occurrences of the target laundry on the previous day does not satisfy a preset condition, or,

and when the occurrence frequency of the target clothes in the previous day meets the preset condition, adding one to the number of the use days in the previous day to obtain a new number of the use days.

In addition, in order to achieve the above object, the present invention also provides a laundry washing method based on the recommended method for washing laundry, for a washing machine, the method comprising the steps of:

receiving the recommended clothes information sent by the intelligent laundry cabinet, wherein the recommended clothes information is sent when the intelligent laundry cabinet receives a first determination operation of the recommended clothes information for the output state;

obtaining recommended washing information based on the recommended clothes information;

outputting the recommended cleaning information;

when a second determination operation aiming at the recommended cleaning information is received, judging whether the clothes to be cleaned in the washing machine meet a preset condition or not based on the second determination operation;

and outputting a corresponding cleaning action based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet a preset condition.

Optionally, the recommended clothes information includes a recommended clothes type and a recommended clothes quantity; the step of obtaining recommended washing information based on the recommended washing laundry information includes:

screening selected cleaning programs corresponding to the recommended clothes types in a preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set comprises cleaning programs corresponding to different clothes types;

selecting the selected cleaning agent amount and the selected water amount corresponding to the recommended clothes quantity in the preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set comprises the cleaning agent amount and the water amount corresponding to different clothes quantities;

and obtaining recommended cleaning information based on the selected cleaning program, the selected cleaning agent dosage and the selected water quantity.

Optionally, when a second determination operation for the recommended washing information is received, the step of determining whether the laundry to be washed in the washing machine satisfies a preset condition based on the second determination operation includes:

when a second determination operation aiming at the recommended cleaning information is received, acquiring clothes information of clothes to be cleaned in the washing machine based on the second determination operation;

judging whether the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is greater than or equal to a preset threshold value or not;

when the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is greater than or equal to the preset matching degree, the clothes to be cleaned in the washing machine meet the preset condition; and when the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is smaller than the preset matching degree, the clothes to be cleaned in the washing machine do not meet the preset condition.

In addition, in order to achieve the above object, the present invention further provides a washing clothes recommending apparatus, which is applied to an intelligent wardrobe, and the apparatus includes:

the washing system comprises a first acquisition module, a second acquisition module and a washing module, wherein the first acquisition module is used for acquiring target use days of target clothes in a historical use information set when a washing instruction is received, and the historical use information set stores the use days of different clothes;

a second acquiring module for acquiring a target clothes type of the target clothes;

a screening module for screening recommended laundry items from the target laundry items based on the target laundry type and the target number of days of use;

and the output module is used for outputting recommended clothes information corresponding to the recommended cleaning clothes.

In addition, to achieve the above object, the present invention also proposes a laundry washing apparatus applied to a washing machine, the apparatus including:

the receiving module is used for receiving the recommended clothes information sent by the intelligent laundry cabinet, wherein the recommended clothes information is sent when the intelligent laundry cabinet receives a first determination operation of the recommended clothes information aiming at the output state;

an obtaining module, configured to obtain recommended washing information based on the recommended clothing information;

the information output module is used for outputting the recommended cleaning information;

the judging module is used for judging whether the clothes to be cleaned in the washing machine meet preset conditions or not based on second determination operation when the second determination operation aiming at the recommended cleaning information is received;

and the washing module is used for outputting corresponding washing actions based on the recommended washing information when the clothes to be washed in the washing machine meet preset conditions.

In addition, in order to achieve the above object, the present invention also provides an intelligent wardrobe, comprising: a memory, a processor and a wash laundry recommendation program stored on said memory and executable on said processor, said wash laundry recommendation program being configured to implement the steps of the wash laundry recommendation method according to any of the above.

In addition, in order to achieve the above object, the present invention also provides a washing machine, including: memory, processor and wash laundry recommendation program stored on said memory and executable on said processor, said wash laundry recommendation program being configured to implement the steps of the laundry washing method according to any of the above mentioned

Furthermore, to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon a washing laundry recommendation program which, when executed by a processor, implements the steps of the washing laundry recommendation method according to any one of the above, and a laundry washing program which, when executed by a processor, implements the steps of the laundry washing method according to any one of the above.

The technical scheme of the invention is that the clothes washing recommendation method is used for an intelligent wardrobe and comprises the following steps: when a washing instruction is received, acquiring target use days of target clothes in a historical use information set, wherein the historical use information set stores the use days of different clothes; acquiring a target clothes type of the target clothes; screening recommended washing clothes from the target clothes based on the target clothes type and the target use days; and outputting recommended clothes information corresponding to the recommended washed clothes. Because the intelligent wardrobe determines the clothes to be cleaned in the target clothes according to the type of the target clothes and the target use days of the target clothes, a user does not need to manually determine the clothes to be cleaned from the intelligent wardrobe when cleaning the clothes, and the user experience is better.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.

FIG. 1 is a schematic diagram of a recommended clothes washing device for a hardware operating environment according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating a recommended method for washing clothes according to a first embodiment of the present invention;

FIG. 3 is a schematic flow chart of a first embodiment of the laundry washing method according to the present invention;

FIG. 4 is a block diagram of a recommended laundry washing apparatus according to a first embodiment of the present invention;

FIG. 5 is a block diagram of the first embodiment of the laundry washing apparatus according to the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent wardrobe structure of a hardware operating environment according to an embodiment of the present invention.

Generally, a smart wardrobe includes: at least one processor 301, a memory 302, and a wash laundry recommendation program stored on the memory and executable on the processor, the wash laundry recommendation program configured to implement the steps of the wash laundry recommendation method as described above.

The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. The processor 301 may further include an AI (Artificial Intelligence) processor for processing operations related to the washing laundry recommendation method so that the washing laundry recommendation method model can be self-trained for learning, improving efficiency and accuracy.

Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 302 is used to store at least one instruction for execution by the processor 801 to implement the laundry recommendation method provided by the method embodiments herein.

In some embodiments, the terminal may further include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. Various peripheral devices may be connected to communication interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power source 306.

The communication interface 303 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the communication interface 303 may be implemented on a single chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 304 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 305 is a touch display screen, the display screen 305 also has the ability to capture touch signals on or over the surface of the display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. At this point, the display screen 305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 305 may be one, the front panel of the electronic device; in other embodiments, the display screens 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display screen 305 may be a flexible display screen disposed on a curved surface or a folded surface of the electronic device. Even further, the display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 305 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), and the like.

The power supply 306 is used to power various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

It will be understood by those skilled in the art that the configuration shown in fig. 1 does not constitute a limitation of the laundry cleaning recommendation device and may include more or less components than those shown, or some components in combination, or a different arrangement of components.

In addition, the present invention also provides a washing machine including: at least one processor, a memory, and a laundry washing program stored on the memory and executable on the processor, the laundry washing program being configured to implement the steps of the laundry washing recommendation method as described above.

The detailed information of the washing machine structure can refer to the description of the intelligent wardrobe, and is not repeated herein.

Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, on which a washing laundry recommendation program and a laundry washing program are stored, the washing laundry recommendation program, when executed by a processor, implements the steps of the washing laundry recommendation method as described above, and the laundry washing program, when executed by the processor, implements the steps of the laundry washing method as described above. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. Determining as an example, the program instructions may be deployed to execute on one washing machine and intelligent wardrobe, or on multiple intelligent wardrobes and multiple washing machines located at one site, or on multiple intelligent wardrobes and washing machines distributed across multiple sites and interconnected by a communication network.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

Based on the hardware structure, the embodiment of the recommendation method for washing clothes is provided.

Referring to fig. 2, fig. 2 is a schematic flow chart of a recommended method for washing clothes according to a first embodiment of the invention, the method is applied to an intelligent wardrobe, and the offence comprises the following steps:

step S11: when a washing instruction is received, the target number of usage days of the target clothes is acquired in a historical usage information set, and the historical usage information set stores the number of usage days of different clothes.

It should be noted that the execution main body of the embodiment is an intelligent wardrobe, and the structure of the intelligent wardrobe refers to the above description, which is not described herein again. The cleaning instruction sent by the user can be a cleaning instruction input by the user through a voice input module or a keyboard input module of the intelligent wardrobe, or a cleaning instruction triggered by the user clicking a cleaning button preset in the intelligent wardrobe, and the invention is not limited too much.

The target clothes may refer to all the clothes in the intelligent wardrobe, or may refer to clothes that a user presets to be available for cleaning, for example, 20 clothes in the intelligent wardrobe, of which 16 clothes are available for cleaning, and 4 other clothes are unavailable for cleaning, for example, dry-cleaned clothes may be unavailable for cleaning (usually dry-cleaned clothes are taken to a dry-cleaning store for cleaning, so that they may be set as unavailable clothes), and then the 16 clothes available for cleaning are the target clothes.

Wherein the historical usage information set includes historical usage information of the target laundry of the user, the historical usage information referring to usage information of the target laundry before the washing instruction reception time. In the present invention, the history use information set obtaining method is as follows:

acquiring the end date of the previous washing action of the target clothes, and zeroing the use days of the target clothes; counting the number of times of appearance of the target clothes in the intelligent wardrobe every day by taking the ending date as a time starting point; updating the usage days after the zeroing on the basis of the occurrence times to obtain new usage days; based on the new number of usage days, a historical usage information set is obtained.

It can be understood that the end date of the previous washing action of the target clothes can be obtained in the target clothes information table, the user can manually input the end date in the target clothes information table when the washing of the target clothes is finished, or the washing machine is in communication connection with the intelligent wardrobe, when the washing action is finished, the washing machine sends the end date to the intelligent wardrobe, and the intelligent wardrobe adds the end date to the target clothes information table.

For each day after the ending date is the starting point of the timing, the number of times of the target clothes appearing in the intelligent washing machine every day needs to be counted. For any day, determining whether the number of using days of the target clothes is increased by one or kept unchanged based on the number of times of appearance of the target clothes in the intelligent wardrobe. It can be understood that the historical usage information set is in a state of being updated all the time, and since the number of occurrences of the target clothes in the intelligent wardrobe may change at any time, the historical usage information sets at different times may be different, for example, the number of occurrences of the a wool overcoat in the four days from 3/month 2 in 2020 to 3/month 5 in 2020 may be different, and the number of usage days of the a wool overcoat in the historical usage information set in 3/month 2 in 2020 may be different from the number of usage days of the a wool overcoat in 3/month 4 in 2020.

Wherein the updating the usage days after the zeroing based on the occurrence number comprises the steps of: judging whether the occurrence frequency of the target clothes in the previous day meets a preset condition at the zero point of each day; and when the occurrence frequency of the previous day of the target clothes does not meet a preset condition, determining the number of the use days of the previous day as a new number of the use days, or when the occurrence frequency of the previous day of the target clothes meets the preset condition, adding one to the number of the use days of the previous day to obtain the new number of the use days.

The preset condition may be that the number of occurrences of the target clothing in the previous day is greater than or equal to 2, and the preset condition may also be other conditions, and the present invention is not limited thereto, and generally, one piece of clothing is taken out by the user for use and returned, and the number of occurrences is 2. When the target clothes appear, the appearance time corresponds to the preset condition, the preset condition can be that the appearance frequency of the target clothes in the previous day is more than or equal to 2, and the difference between two adjacent appearance times is more than or equal to the preset time; since the user may take the clothes out to try on and then return it soon, and not count for one use, it is not necessary to add one to the number of days of use at this time, where the preset time period may be 5 hours, etc.

For example, the obtained use days of the a wool overcoat at 3, month, 2 and day 0 in 2020 is 2, and when the a wool overcoat at 3, month, 3 and day 0 in 2020 is obtained, the occurrence frequency of the a wool overcoat in the intelligent wardrobe within 3, month, 2 and 24h in 2020 is 1 (i.e., the a wool overcoat is not taken out all the time), the occurrence frequency of the a wool overcoat does not satisfy the preset condition, so the obtained use days of the a wool overcoat at 3, month, 3 and day 0 in 2020 is still 2; at 0 point of 3, month and 4 days in 2020, the number of occurrences of the wool overcoat a in the intelligent wardrobe within 3, month and 3, 24h in 2020 is 2 (i.e., the wool overcoat a is taken out and returned), and the number of occurrences of the wool overcoat a meets the preset condition, so that the number of usage days of the wool overcoat a at 0 point of 3, month and 4 in 2020 is 3.

For another example, the obtained number of use days of the wool overcoat a at 0 point of 3, 4 and 5 days in 2020 is 3, and the obtained number of occurrence times of the wool overcoat a in the intelligent wardrobe at 24h of 3, 4 and 4 in 2020 is 2 at 0 point of 3, 5 and 5 in 2020, wherein the occurrence times are respectively 8 point adjustment and 8 point 18 minutes, and the time difference of the occurrence times is less than the preset duration of 20 minutes, the number of occurrence times of the wool overcoat a does not meet the preset condition, so the obtained number of use days of the wool overcoat a at 0 point of 3, 5 and 0 in 2020 is still 3; and when 0 point is obtained at 3, 6 and 24 hours in 2020, the number of appearance times of the wool overcoat A in the intelligent wardrobe within 3, 5 and 24 hours in 2020 is 2, wherein the appearance time is respectively 8 click and 18 click for 18 minutes, and the time difference of the appearance time is greater than the preset time length for 20 minutes, so that the number of appearance times of the wool overcoat A meets the preset condition, and the obtained use days of the wool overcoat A at 0 point in 3, 6 and 0 days in 2020 is 4.

Step S12: acquiring a target clothes type of the target clothes;

the types of clothes may be outer garments, cotton garments, underwear or ordinary clothes, the types of clothes may also be dark-colored clothes or light-colored clothes, and the number of days of use may be different for different types of clothes, for example, the number of days of use for dark-colored clothes may be 3 days, the number of days of use for light-colored clothes may be 2 days, the number of days of use for underwear is 1 day, and the number of days of use for outer garments is 5 days, and therefore, the types of clothes of the target clothes need to be acquired at this time.

Step S13: selecting recommended laundry items from the target laundry items based on the target laundry type and the target number of usage days.

According to the target laundry type and the target number of usage days, the target laundry is determined as laundry to be washed (recommended washing laundry) and laundry not to be washed.

Specifically, step S13 includes: obtaining preset use days of the target clothes according to the type of the target clothes; and screening the recommended washing clothes of which the target use days are greater than or equal to the preset use days from the target clothes.

The preset use days of different clothes types are different, and the preset use days can be set by a user according to the requirement of the user or set by a worker when the intelligent wardrobe leaves a factory. For example, the preset number of days of use for dark colored clothing may be 3 days, the preset number of days of use for light colored clothing may be 2 days, the preset number of days of use for underwear is 1 day, the preset number of days of use for coats is 5 days, etc. And when the number of using days is larger than or equal to the preset number of using days, the target clothes are indicated to be required to be washed, and the target clothes are determined as recommended washing clothes.

For example, if the number of days of use of the suit a is 5 and the preset number of days of use of the suit is 5, the number of days of use of the suit a is equal to the preset number of days of use, and the suit a is recommended to wash the clothes.

Step S14: and outputting recommended clothes information corresponding to the recommended washed clothes.

The output recommended washing laundry information refers to a laundry name of the recommended washing laundry. For example, it is recommended that the laundry is washed by a jacket a, and the output is the name of the jacket a, and may also include the color of the jacket, etc., and the present invention is not limited thereto. The clothes recommending information can be output by a display screen of the intelligent wardrobe and a voice output module of the intelligent wardrobe.

The technical scheme of the embodiment is that the washing clothes recommendation method is used for an intelligent wardrobe and comprises the following steps: when a washing instruction is received, acquiring target use days of target clothes in a historical use information set, wherein the historical use information set stores the use days of different clothes; acquiring a target clothes type of the target clothes; screening recommended washing clothes from the target clothes based on the target clothes type and the target use days; and outputting recommended clothes information corresponding to the recommended washed clothes. Because the intelligent wardrobe determines the clothes to be cleaned in the target clothes according to the type of the target clothes and the target use days of the target clothes, a user does not need to manually determine the clothes to be cleaned from the intelligent wardrobe when cleaning the clothes, and the user experience is better.

Referring to fig. 3, fig. 3 is a schematic flow chart of a first embodiment of the laundry washing method according to the present invention; the method is applied to a washing machine, and comprises the following steps:

step S21: and receiving the recommended clothes information sent by the intelligent laundry cabinet, wherein the recommended clothes information is sent when the intelligent laundry cabinet receives a first determination operation of the recommended clothes information for the output state.

It should be noted that, the structure of the washing machine refers to the above description, which is not described herein again, the intelligent wardrobe and the washing machine are in communication connection, after the intelligent wardrobe outputs the recommended washing clothes information, the user sends a first determining operation according to the output recommended washing clothes information (the first determining operation may be triggered by the user by clicking a determining key of the intelligent wardrobe, or may be in other manners, which is not limited herein), and the intelligent wardrobe sends the recommended washing clothes information to the washing machine.

Step S22: and obtaining recommended washing information based on the recommended clothes information.

Different target clothes have different cleaning programs, cleaning agent dosage and water quantity, and need to be specifically determined according to the clothes information.

Specifically, in this embodiment, the recommended clothes information further includes a recommended clothes type and a recommended clothes quantity, and the step S22 includes: screening selected cleaning programs corresponding to the recommended clothes types in a preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set comprises cleaning programs corresponding to different clothes types; selecting the selected cleaning agent amount and the selected water amount corresponding to the recommended clothes quantity in the preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set comprises the cleaning agent amount and the water amount corresponding to different clothes quantities; and obtaining recommended cleaning information based on the selected cleaning program, the selected cleaning agent dosage and the selected water quantity.

It should be noted that the preset recommended washing policy set may be set by a user according to a requirement, or may be set by a technician when the washing machine leaves a factory.

For example, the set of preset recommended cleaning strategies includes: the cleaning procedure of the blanket clothes is soft, the cleaning procedure of the clothes is conventional, the cleaning procedure of the light-color clothes is soft, the cleaning procedure of the dark-color clothes is conventional and the like; when the proportion of the type of clothes of certain recommended clothes is the maximum, determining the corresponding washing program as the selected washing program, for example, the recommended clothes comprises 5 pieces of clothes, wherein 4 pieces of dark coats and one piece of light coats, and the selected washing program is normal; the user may set different determination strategies according to the requirement, and it is understood that the above determination manner is only an example, and for example, when the recommended washing laundry information includes a light color type corresponding to the light color laundry, the washing program is selected to be gentle, and the like.

As another example, the recommended cleaning strategy further includes: when 4-6 pieces of clothes are washed, the water amount is 15L, and 20g of the laundry detergent (common commercial laundry detergent); when 7-10 pieces of clothes are washed, adding 40g of laundry detergent into 30L of water; when 11-14 pieces of clothes are washed, the water quantity is 45L, and 60g of laundry detergent is added.

The recommended washing information includes a selected washing program, a selected amount of water, a selected detergent amount, and the like.

Step S23: and outputting the recommended cleaning information.

It should be noted that the recommended clothes information output may be a display screen of the washing machine, and may be a voice output module of the washing machine.

Step S24: when a second determination operation for the recommended washing information is received, whether the clothes to be washed in the washing machine meet a preset condition is judged based on the second determination operation.

It should be noted that the second predetermined operation may be triggered by the user clicking a determination button of the washing machine, or may be triggered in other manners, and the present invention is not limited thereto.

Generally, a user puts clothes to be washed (based on the recommended washing clothes information, the user puts corresponding clothes to be washed, the clothes to be washed may be completely the same as the recommended washing clothes, and the user may add or subtract certain clothes according to the needs of the user) into the washing machine, and the user clicks the determination button to trigger a second determination operation, where the second determination operation includes an operation of putting clothes by the user.

In another embodiment, a mechanical arm connected to the washing machine and the intelligent wardrobe may be provided, the mechanical arm places the recommended clothes in the washing machine, that is, the clothes to be washed are the same as the recommended clothes, a user sends a second determination operation according to the placed recommended clothes, or adjusts the placed recommended clothes in the washing machine to obtain the clothes to be washed, and at this time, the clothes to be washed are different from the recommended clothes, and the second determination operation is sent.

The preset condition may be whether the matching degree of the clothes information of the clothes to be washed and the recommended clothes information is greater than or equal to a preset threshold value; the preset threshold value is set by a user according to requirements, and preferably, the preset threshold value is set to be 70%. When the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is greater than or equal to the preset matching degree, the clothes to be cleaned in the washing machine meet the preset condition; and when the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is smaller than the preset matching degree, the clothes to be cleaned in the washing machine do not meet the preset condition.

For example, the recommended clothes information is 4 coats and 2 blankets, the corresponding recommended cleaning information is a (normal cleaning mode, 15L of water and 20g of laundry detergent), the clothes information to be cleaned in the washing machine is 3 coats and 2 blankets, the coat matching degree is determined to be 75%, the blanket matching degree is determined to be 100%, the total matching degree is obtained in a weighted average mode to be 82.5%, and the total matching degree exceeds a preset threshold value.

Step S25: and outputting a corresponding cleaning action based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet a preset condition.

For example, the recommended clothes information is 4 coats and 2 blankets, the corresponding recommended cleaning information is a (normal cleaning mode, 15L of water and 20g of laundry detergent), the clothes information to be cleaned in the washing machine is 3 coats and 2 blankets, the coat matching degree is determined to be 75%, the blanket matching degree is determined to be 100%, the total matching degree is 82.5% obtained in a weighted average mode and exceeds a preset threshold value, the cleaning mode, namely normal, 15L of water and 20g of laundry detergent are obtained according to the recommended cleaning information a, and then the washing machine directly performs cleaning action.

It should be noted that when the clothes to be cleaned in the washing machine meet the preset conditions, the information of the clothes to be cleaned can be output to be abnormal, and a user manually selects a cleaning program, water quantity and cleaning agent consumption; the washing machine can also determine new washing information according to the information of the clothes to be washed and a preset recommended washing strategy set, and output the new washing information, so that the washing machine outputs a washing action corresponding to the new washing information when receiving a determination operation sent by a user aiming at the new washing information in an output state.

In the technical scheme of the embodiment, the intelligent washing machine determines the recommended cleaning information according to the recommended clothes information, and a user does not need to select the cleaning information by himself, so that the user experience is improved; meanwhile, when the clothes to be cleaned in the washing machine meet the preset conditions, the washing machine can automatically clean the clothes to be cleaned, a user does not need to manually determine the cleaning action, and the user experience is improved.

Referring to fig. 4, fig. 4 is a block diagram illustrating a structure of a recommended device for washing clothes according to a first embodiment of the present invention; the device is applied to intelligent wardrobe, the device includes:

a first obtaining module 101, configured to, when a washing instruction is received, obtain a target usage day of a target laundry in a historical usage information set, where usage days of different laundry are stored in the historical usage information set.

A second obtaining module 102, configured to obtain a target clothes type of the target clothes.

A screening module 103 for screening recommended washing clothes among the target clothes based on the target clothes type and the target usage days.

And the output module 104 is configured to output recommended clothes information corresponding to the recommended washed clothes.

Referring to fig. 5, fig. 5 is a block diagram showing a first embodiment of a laundry washing apparatus according to the present invention, which is applied to a washing machine, the apparatus comprising:

a receiving module 201, configured to receive the recommended clothes information sent by the intelligent laundry cabinet, where the recommended clothes information is sent when the intelligent laundry cabinet receives a first determination operation of the recommended clothes information for the output state.

An obtaining module 202, configured to obtain recommended washing information based on the recommended clothing information.

And the information output module 203 is used for outputting the recommended cleaning information.

The determining module 204 is configured to, when a second determining operation for the recommended washing information is received, determine whether the laundry to be washed in the washing machine satisfies a preset condition based on the second determining operation.

And the cleaning module 205 is configured to output a corresponding cleaning action based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet a preset condition.

The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. A recommendation method for washing clothes, which is used for an intelligent wardrobe, the method comprising the following steps:

acquiring a target clothes type of the target clothes;

2. The wash laundry recommendation method of claim 1, wherein the step of obtaining recommended wash laundry information based on the target laundry type and the target number of usage days comprises:

3. The washing recommendation method of claim 2, wherein before the step of obtaining the target number of days of use of the target laundry in the historical use information set upon receiving the washing instruction, the method further comprises:

4. A recommended method for washing clothes according to claim 3, wherein said updating said zeroed days of use based on said number of occurrences, and said step of obtaining a new number of days of use comprises:

5. A laundry washing method based on the recommended method for washing laundry according to any one of claims 1-4, characterized in that it is used in a washing machine, said method comprising the following steps:

outputting the recommended cleaning information;

6. The laundry washing method according to claim 5, wherein the recommended laundry information includes a recommended laundry type and a recommended laundry quantity; the step of obtaining recommended washing information based on the recommended washing laundry information includes:

7. A laundry washing method according to claim 6, wherein the step of determining whether the laundry to be washed in the washing machine satisfies a preset condition based on the second determination operation when the second determination operation for the recommended washing information is received comprises:

8. An intelligent wardrobe, comprising: a memory, a processor and a wash laundry recommendation program stored on the memory and executable on the processor, the wash laundry recommendation program configured to implement the steps of the wash laundry recommendation method according to any one of claims 1 to 4.

9. A washing machine, characterized in that the intelligent wardrobe comprises: memory, processor and a wash laundry recommendation program stored on said memory and executable on said processor, said wash laundry recommendation program being configured to implement the steps of the laundry washing method as claimed in any one of claims 5 to 7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a washing laundry recommendation program which, when executed by a processor, implements the steps of the washing laundry recommendation method according to any one of claims 1 to 4, and a laundry washing program which, when executed by a processor, implements the steps of the laundry washing method according to any one of claims 5 to 7.