CN112430974B - Clothes cleaning recommendation method, clothes cleaning method, intelligent wardrobe and washing machine - Google Patents

Clothes cleaning recommendation method, clothes cleaning method, intelligent wardrobe and washing machine Download PDF

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Publication number
CN112430974B
CN112430974B CN202011184542.0A CN202011184542A CN112430974B CN 112430974 B CN112430974 B CN 112430974B CN 202011184542 A CN202011184542 A CN 202011184542A CN 112430974 B CN112430974 B CN 112430974B
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Prior art keywords
clothes
recommended
target
laundry
washing
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CN112430974A (en
Inventor
吴婕
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Shenzhen TCL New Technology Co Ltd
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Shenzhen TCL New Technology Co Ltd
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    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F33/00Control of operations performed in washing machines or washer-dryers 
    • D06F33/30Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F34/00Details of control systems for washing machines, washer-dryers or laundry dryers
    • D06F34/04Signal transfer or data transmission arrangements
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/02Characteristics of laundry or load
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/02Characteristics of laundry or load
    • D06F2103/04Quantity, e.g. weight or variation of weight
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/02Characteristics of laundry or load
    • D06F2103/06Type or material
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B40/00Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers

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  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a clothes cleaning recommending method, which is used for an intelligent wardrobe and comprises the following steps of: when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes; acquiring a target clothes type of the target clothes; selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use; and outputting the recommended clothes information corresponding to the recommended washing 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 cleaned are not required to be manually determined from the intelligent wardrobe, and the user experience is good.

Description

Clothes cleaning recommendation method, clothes cleaning method, intelligent wardrobe and washing machine
Technical Field
The invention relates to the technical field of intelligent wardrobes, in particular to a clothes cleaning recommendation method, a clothes cleaning method, an intelligent wardrobes, a washing machine and a computer readable storage medium.
Background
Generally, when a user performs laundry washing, the user needs to manually determine laundry to be washed from an intelligent wardrobe, put the laundry to be washed into a washing machine, and then wash the laundry by the washing machine.
However, when the user performs laundry washing, 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 clothes washing recommendation 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 a user is difficult to determine clothes to be washed in the prior art.
In order to achieve the above purpose, the invention provides a clothes cleaning recommendation method for an intelligent wardrobe, which comprises the following steps:
when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes;
acquiring a target clothes type of the target clothes;
selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use;
and outputting the recommended clothes information corresponding to the recommended washing clothes.
Optionally, the step of selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use includes:
obtaining preset days of use of the target clothes according to the type of the target clothes;
and screening recommended washing clothes with the target using days being greater than or equal to the preset using days from the target clothes.
Optionally, before the step of acquiring the target usage days of the target clothes 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 using days of the target clothes;
counting the number of times of daily occurrence of the target clothes in the intelligent wardrobe by taking the ending date as a time starting point;
updating the number of usage days after zeroing based on the occurrence times to obtain new number of usage days;
based on the new days of use, a historical set of usage information is obtained.
Optionally, the step of updating the number of usage days after zeroing based on the occurrence number to obtain a new number of usage days includes:
At the zero point of each day, judging whether the occurrence times of the target clothes in the previous day meet preset conditions or not;
when the number of occurrences of the target laundry on the previous day does not satisfy a preset condition, determining the number of days of use of the previous day as a new number of days of use, or,
and when the occurrence times of the previous day of the target clothes meet the preset condition, adding one to the use days of the previous day to obtain new 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 wardrobe, wherein the recommended clothes information is sent by the intelligent wardrobe when a first determining operation of the recommended clothes information aiming at an output state is received;
acquiring recommended washing information based on the recommended clothes information;
outputting the recommended cleaning information;
when receiving a second determining operation for the recommended washing information, judging whether the clothes to be washed in the washing machine meet preset conditions or not based on the second determining operation;
and outputting a corresponding cleaning action based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet preset conditions.
Optionally, the recommended clothing information includes a recommended clothing type and a recommended clothing amount; the step of obtaining recommended washing information based on the recommended clothing 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;
screening the selected cleaning agent dosage and the selected water quantity corresponding to the recommended clothes quantity in the preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set also comprises the cleaning agent dosage and the water quantity 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 receiving the second determining operation for the recommended washing information, the step of determining whether the laundry in the washing machine meets the preset condition based on the second determining operation includes:
acquiring laundry information of laundry in the washing machine based on a second determination operation when the second determination operation for the recommended washing information is received;
Judging whether the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is larger than or equal to a preset threshold value;
when the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is larger than or equal to the preset threshold value, judging that the clothes to be cleaned in the washing machine meet a 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 threshold value, judging that the clothes to be cleaned in the washing machine does not meet the preset condition.
In addition, in order to achieve the above object, the present invention also provides a washing clothes recommending apparatus, which is applied to an intelligent wardrobe, the apparatus comprising:
the first acquisition module is used for acquiring target using days of target clothes in a history using information set when a cleaning instruction is received, wherein the history using information set stores using days of different clothes;
a second acquisition module for acquiring a target laundry type of the target laundry;
a screening module for screening recommended washing laundry among the target laundry based on the target laundry type and the target days of use;
and the output module is used for outputting the recommended clothes information corresponding to the recommended washing clothes.
In addition, in order to achieve the above object, the present invention also provides a laundry washing apparatus, which is applied to a washing machine, comprising:
the intelligent clothes cabinet comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving recommended clothes information sent by the intelligent clothes cabinet, wherein the recommended clothes information is sent by the intelligent clothes cabinet when a first determining operation of the recommended clothes information aiming at an output state is received; the recommended clothes information is obtained based on recommended washing clothes obtained by screening the target clothes according to the target clothes type and the target use days after the intelligent wardrobe obtains the target use days and the target clothes type of the target clothes, wherein the recommended washing clothes are clothes with the target use days which are greater than or equal to the preset use days and are screened from the target clothes after the intelligent wardrobe obtains the preset use days of the target clothes according to the target clothes type;
the acquisition module is used for acquiring recommended cleaning information based on the recommended clothes 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 washed in the washing machine meet preset conditions or not based on the second determining operation when receiving the second determining operation aiming at the recommended washing information;
And the cleaning module is used for outputting corresponding cleaning actions based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet preset conditions.
In addition, in order to achieve the above object, the present invention also provides an intelligent wardrobe, which includes: a memory, a processor, and a laundry recommendation program stored on the memory and executable on the processor, the laundry recommendation program configured to implement the steps of the laundry recommendation method as described in any one of the above.
In addition, in order to achieve the above object, the present invention also provides a washing machine including: a memory, a processor, and a laundry recommendation program stored on the memory and executable on the processor, the laundry recommendation program configured to implement the steps of the laundry washing method according to any one of the preceding claims.
In addition, in order to achieve the above object, the present invention also proposes a computer-readable storage medium having stored thereon a laundry recommendation program that, when executed by a processor, implements the steps of the laundry recommendation method according to any one of the above, and a laundry cleaning program that, when executed by a processor, implements the steps of the laundry cleaning method according to any one of the above.
The technical scheme of the invention is that the clothes cleaning recommending method is used for an intelligent wardrobe, and comprises the following steps: when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes; acquiring a target clothes type of the target clothes; selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use; and outputting the recommended clothes information corresponding to the recommended washing clothes. Because the intelligent wardrobe determines the clothes to be cleaned in the target clothes according to the target clothes type 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 the user cleans the clothes, and the user experience is good.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an intelligent wardrobe in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for recommending laundry washing according to a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a first embodiment of a method for washing laundry according to the present invention;
FIG. 4 is a block diagram showing a first embodiment of a clothes washing recommendation device according to the present invention;
fig. 5 is a block diagram showing the construction of a first embodiment of the laundry washing apparatus according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent wardrobe in a hardware running environment according to an embodiment of the present invention.
Generally, intelligent wardrobe includes: at least one processor 301, a memory 302, and a laundry recommendation program stored on the memory and executable on the processor, the laundry recommendation program being configured to implement the steps of the laundry recommendation method.
Processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 301 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central ProcessingUnit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 301 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. The processor 301 may also include an AI (Artificial Intelligence ) processor for processing related wash laundry recommendation method operations such that the wash laundry recommendation method model may be self-training learned, 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 memory 302 is used to store at least one instruction for execution by processor 801 to implement the laundering garment recommendation method provided by the method embodiments herein.
In some embodiments, the intelligent wardrobe further optionally includes: 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. The respective peripheral devices may be connected to the communication interface 303 through 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 supply 306.
The communication interface 303 may be used to connect at least one peripheral device associated with an 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, either or both of the processor 301, the memory 302, and the communication interface 303 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 304 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 304 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 304 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 304 may also include NFC (Near Field Communication ) related circuitry, which is 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 305 is a touch screen, the display 305 also has the ability to collect touch signals at or above the surface of the display 305. The touch signal may be input as a control signal to the processor 301 for processing. At this point, the display 305 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 305 may be one, the front panel of a smart wardrobe; in other embodiments, the number of the display screens 305 may be at least two, and the display screens may be respectively disposed on different surfaces of the intelligent wardrobe or in a folded design; in still other embodiments, the display 305 may be a flexible display disposed on a curved surface or a folded surface of the intelligent closet. Even more, the display screen 305 may be arranged in an irregular pattern other than rectangular, i.e., a shaped screen. The display 305 may be made of LCD (LiquidCrystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The power supply 306 is used to power the various components in the intelligent closet. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 comprises 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 appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting and may include more or fewer components than shown, or may be combined with certain components, or a different arrangement of components.
In addition, the embodiment of the invention also provides a washing machine, which comprises: at least one processor, a memory, and a laundry washing program stored on the memory and operable on the processor, the laundry washing program being configured to implement the steps of the laundry washing method.
Specific information on the structure of the washing machine can be referred to the description of the intelligent wardrobe, and will not be repeated here.
In addition, an embodiment of the present invention further provides a computer readable storage medium, where a laundry recommendation program and a laundry cleaning program are stored on the computer readable storage medium, where the laundry recommendation program implements steps of a laundry recommendation method when being executed by a processor, and the laundry cleaning program implements steps of a laundry cleaning method when being executed by the processor, which will not be described herein. In addition, the description of the beneficial effects of the same method is omitted. For technical details not disclosed in the embodiments of the computer-readable storage medium according to the present application, please refer to the description of the method embodiments of the present application. As an example, the program instructions may be deployed to be executed on one laundry machine or one intelligent closet, or on multiple intelligent closets and multiple laundry machines located at one site, or on multiple intelligent closets and laundry machines distributed across multiple sites and interconnected by a communication network.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a computer-readable storage medium, and which, when executed, may comprise the steps 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 (Random AccessMemory, RAM), or the like.
Based on the above hardware structure, an embodiment of the method for recommending the clothes cleaning is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a clothes washing recommendation method according to the present invention, the method is applied to an intelligent wardrobe, and the method includes the following steps:
step S11: and when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes.
It should be noted that, the execution body of the embodiment is an intelligent wardrobe, and the structure of the intelligent wardrobe refers to the above description, and is not repeated here. The cleaning instruction is sent by a user, can be a cleaning instruction input by the user through a voice input module or a keyboard input module of the intelligent wardrobe, and can also be a cleaning instruction triggered by clicking a cleaning button preset in the intelligent wardrobe by the user, and the intelligent wardrobe cleaning method is not excessively limited.
The target clothes may refer to all the clothes in the intelligent wardrobe, or may refer to the clothes preset by a user to be used for cleaning, for example, 20 clothes are arranged in the intelligent wardrobe, wherein 16 clothes are used for cleaning, and other 4 clothes are not used for cleaning, for example, dry-cleaning clothes may be used for cleaning (generally dry-cleaning clothes are taken to be used for cleaning in a dry-cleaning store, so that the clothes can be set as non-cleanable clothes), and then the 16 clothes which are used for cleaning are the target clothes.
Wherein the history use information set includes history use information of the target laundry of the user, the history use information referring to use information of the target laundry before the washing instruction receiving timing. 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 using days of the target clothes; counting the number of times of daily occurrence of the target clothes in the intelligent wardrobe by taking the ending date as a time starting point; updating the number of usage days after zeroing based on the occurrence times to obtain new number of usage days; based on the new days of use, a historical set of usage information is obtained.
It will be appreciated that the end date of the previous washing action of the target laundry may be obtained in the target laundry information table, and the user may manually input the end date in the target laundry information table when the washing of the target laundry is completed, or may be a washing machine in communication with the intelligent wardrobe, and at the end of the washing action, the washing machine sends the end date to the intelligent wardrobe, and the intelligent wardrobe adds the end date to the target laundry information table.
For each day after the end date is the starting point of the timing, the number of times of daily appearance of the target clothes in the intelligent wardrobe needs to be counted. For any day, determining the number of days of use plus one or remaining unchanged of the target clothes based on the number of times the target clothes appear in the intelligent wardrobe on the day. It will be appreciated that the historical usage information set is in a state of being updated all the time, and because the number of occurrences of the target clothes in the intelligent wardrobe may change over time, the historical usage information sets may be different at different times, for example, the number of occurrences of the a-fleece overcoat is different in four days of the period of time from 2 in 3 months in 2020 to 5 in 3 months in 2020, and the number of days of usage of the a-fleece overcoat in the historical usage information set may be different in the period of time from 2 in 3 months in 2020 to 4 days in 2020.
Wherein, based on the occurrence number, updating the usage days after zeroing, and obtaining new usage days includes: at the zero point of each day, judging whether the occurrence times of the target clothes in the previous day meet preset conditions or not; and when the number of times of appearance of the target clothes on the previous day does not meet the preset condition, determining the number of days of use on the previous day as a new number of days of use, or when the number of times of appearance of the target clothes on the previous day meets the preset condition, adding one to the number of days of use on the previous day, and obtaining the new number of days of use.
The preset condition may be that the number of occurrences of the target laundry on the previous day is greater than or equal to 2, and the preset condition may be other conditions, which are not limited by the present invention, and typically, one laundry is taken out for use by the user and returned, and the number of occurrences is 2. It can be understood that the occurrence time corresponds to the occurrence time of the target clothes, and the preset condition can be that the occurrence number of the previous day of the target clothes is more than or equal to 2, and when the difference between two adjacent occurrence times is more than or equal to the preset duration; since the user may only take out the clothes to try on and then return the clothes quickly, the clothes are not counted as one-time use, and the number of days of use is not required to be increased by one, wherein the preset time period can be 5 hours, and the like.
For example, the number of days of use of the a-woollen sweater obtained at the point 0 of 3 months and 2 days in 2020 is 2, and when the number of occurrences of the a-woollen sweater in the intelligent wardrobe is 1 (i.e. the a-woollen sweater is not taken out all the time) within the period 24 hours of 3 months and 2 days in 2020 is obtained at the point 0 of 3 months in 2020, the number of occurrences of the a-woollen sweater does not meet the preset condition, so the number of days of use of the a-woollen sweater obtained at the point 0 of 3 months in 2020 is still 2; when the number of occurrences of the A wool overcoat in the intelligent wardrobe is 2 (i.e. taken out and returned) within 24 hours of 3 months and 4 days in 2020, the number of occurrences of the A wool overcoat meets the preset condition, so that the number of days of use of the A wool overcoat at the 0 th of 3 months and 4 days in 2020 is 3.
For another example, the number of days of use of the A wool overcoat obtained at the point 0 of 3 months and 4 days in 2020 is 3, and the number of times of appearance of the A wool overcoat obtained at the point 0 of 3 months and 5 days in 2020 is 2 in an intelligent wardrobe within 24 hours of 3 months and 4 days in 2020, wherein the appearance time is 8 whole points and 8 points respectively for 18 minutes, and the time difference of appearance time is less than 20 minutes of the preset duration, and the number of times of appearance of the A wool overcoat does not meet the preset condition, so that the number of days of use of the A wool overcoat obtained at the point 0 of 5 days in 2020 is still 3; and when the number of occurrences of the A wool overcoat is 2 in the intelligent wardrobe within 24 hours of 3 months and 5 days in 2020, wherein the occurrence time is 8 minutes and 18 minutes respectively, and the time difference of the occurrence time is longer than the preset duration of 20 minutes, the occurrence number of the A wool overcoat meets the preset condition, so that the obtained number of days of use of the A wool overcoat at the 0 th day of 3 months and 6 days in 2020 is 4.
Step S12: acquiring a target clothes type of the target clothes;
it should be noted that the type of clothes may be a coat, a cotton-padded clothes, an underwear, or a common clothes, the type of clothes may also be a dark-colored clothes or a light-colored clothes, and the types of clothes may be different, for example, the number of days of use of the dark-colored clothes may be 3 days, the number of days of use of the light-colored clothes may be 2 days, the number of days of use of the underwear may be 1 day, and the number of days of use of the outer cover may be 5 days, so that the type of clothes of the target clothes needs to be obtained at this time.
Step S13: and selecting recommended washing clothes from the target clothes based on the target clothes type and the target using days.
The target laundry is determined as laundry to be washed (recommended washing laundry) and laundry not to be washed according to the target laundry type and the target days of use.
Specifically, step S13 includes: obtaining preset days of use of the target clothes according to the type of the target clothes; and screening recommended washing clothes with the target using days being greater than or equal to the preset using days from the target clothes.
The preset use days of different clothes types are different, the preset use days can be set by a user according to the needs of the user, and can also be set by staff when the intelligent wardrobe leaves a factory, and the intelligent wardrobe is not limited. For example, the preset number of days for dark clothing may be 3 days, the preset number of days for light clothing may be 2 days, the preset number of days for underwear is 1 day, the preset number of days for overcoat is 5 days, and so on. And when the using days are greater than or equal to the preset using days, indicating that the target clothes need to be cleaned, determining the target clothes as recommended clothes to be cleaned.
For example, the number of days for use of the a jacket is 5, and the preset number of days for use of the jacket is 5, and then the number of days for use of the a jacket is equal to the preset number of days for use, and the a jacket is recommended for washing clothes.
Step S14: and outputting the recommended clothes information corresponding to the recommended washing clothes.
The outputted recommended laundry information refers to a laundry name of the recommended washing laundry. For example, it is recommended to wash the laundry as an a-coat, output is not only the name of the a-coat, but may also include the color of the a-coat, etc., and the present invention is not limited thereto. The display screen of the intelligent wardrobe can be used for outputting the recommended clothes information, and the voice output module of the intelligent wardrobe can be used for outputting the recommended clothes information.
The technical scheme of the embodiment is that the clothes cleaning recommending method is used for an intelligent wardrobe and comprises the following steps of: when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes; acquiring a target clothes type of the target clothes; selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use; and outputting the recommended clothes information corresponding to the recommended washing clothes. Because the intelligent wardrobe determines the clothes to be cleaned in the target clothes according to the target clothes type 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 the user cleans the clothes, and the user experience is good.
Referring to fig. 3, fig. 3 is a schematic flow chart of a first embodiment of a 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 wardrobe, wherein the intelligent wardrobe sends the recommended clothes information when receiving a first determining operation of the recommended clothes information aiming at the output state.
It should be noted that, the structure of the washing machine refers to the above description, and will not be described herein, the intelligent clothes closet and the washing machine are in communication connection, and when the intelligent clothes closet outputs the recommended clothes information, the user sends the first determining operation according to the outputted recommended clothes information (the first determining operation may be triggered by the user clicking the determining key of the intelligent clothes closet, or may be in other manners, and is not limited herein), and the intelligent clothes closet sends the recommended clothes information to the washing machine.
Step S22: and acquiring recommended washing information based on the recommended clothes information.
Different target clothes have different cleaning procedures, cleaning agent consumption and water quantity, and specific determination is needed according to clothes information.
Specifically, in this embodiment, the recommended clothes information includes a recommended clothes type and a recommended clothes number, and 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; screening the selected cleaning agent dosage and the selected water quantity corresponding to the recommended clothes quantity in the preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set also comprises the cleaning agent dosage and the water quantity 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 cleaning policy set may be set by a user according to a requirement, or may be set by a technician when the washing machine leaves the factory, and in general, in order to improve user experience, the preset recommended cleaning policy set is set when the washing machine leaves the factory, and the user may change according to the requirement.
For example, the preset recommended cleaning policy set includes: the cleaning procedure of the blanket clothes is light, the cleaning procedure of the clothes is routine, the cleaning procedure of the light-colored clothes is light, the cleaning procedure of the dark-colored clothes is routine, and the like; when the proportion of the clothes types of a certain clothes in the recommended clothes is maximum, determining the corresponding washing program as a selected washing program, for example, recommending the washing clothes to comprise 5 clothes, wherein 4 clothes with dark colors and one clothes with light colors are selected, and the selected washing program is common; the user may set different determining strategies according to the requirements, and it is understood that the above determining manner is only an example, and for example, when the recommended clothing information includes the light-color type corresponding to the light-color clothing, the selected cleaning program is soft, and so on.
Also, for example, the recommended cleaning strategy further includes: when 4-6 clothes are put into the water, the water quantity is 15L, and 20g of liquid laundry detergent (general liquid laundry detergent on the market) is added; when 7-10 pieces of clothes are put into the water, the water quantity is 30L, and 40g of laundry detergent is added; when 11-14 clothes are put into the clothes, the water quantity is 45L, and 60g of liquid laundry detergent is added.
The recommended cleaning information includes a selected cleaning program, a selected amount of water, a selected amount of detergent, and the like.
Step S23: and outputting the recommended cleaning information.
It should be noted that, the output recommended clothes information may be a display screen of the washing machine, and may be a voice output module of the washing machine.
Step S24: and when receiving a second determining operation for the recommended washing information, judging whether the clothes to be washed in the washing machine meet preset conditions or not based on the second determining operation.
It should be noted that, the second determining operation may be triggered by the user clicking the determining button of the washing machine, or may be triggered in other manners, which is not limited by the present invention.
Generally, a user puts laundry (based on recommended laundry information, the user puts corresponding laundry, and the laundry may be identical to the recommended laundry, and the user may increase or decrease a certain laundry according to his/her own demand) 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 laundry by the user.
In another embodiment, a mechanical arm connected with 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, the user sends a second determining operation according to the placed recommended clothes, or adjusts the placed recommended clothes in the washing machine to obtain the clothes to be washed, at this time, the clothes to be washed are different from the recommended clothes, and the second determining operation is sent.
The preset condition may be 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; the preset threshold is set by a user according to requirements, and preferably, the preset threshold 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 larger than or equal to the preset threshold value, judging that the clothes to be cleaned in the washing machine meet preset conditions; 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 threshold value, judging that the clothes to be cleaned in the washing machine does not meet the preset condition.
For example, the recommended clothes information is 4 coats, 2 blankets, the corresponding recommended washing information is A (conventional washing mode, 15L water and 20g laundry liquid), the clothes to be washed information in the washing machine is 3 coats, and 2 blankets, the matching degree of the coats is 75%, the matching degree of the blankets is 100%, and the total matching degree is 82.5% in a weighted average mode and exceeds a preset threshold.
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 preset conditions.
For example, the recommended clothes information is 4 coats, 2 blankets, the corresponding recommended washing information is A (conventional washing mode, 15L water and 20g laundry detergent), the clothes information to be washed in the washing machine is 3 coats, and 2 blankets, the matching degree of the coats is 75%, the matching degree of the blankets is 100%, the total matching degree is 82.5% in a weighted average mode, the preset threshold value is exceeded, the washing mode, conventional water amount, 15L laundry detergent and 20g laundry detergent are obtained according to the recommended washing information A, and then the washing machine directly performs washing action.
When the clothes to be cleaned in the washing machine do not 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 when the washing machine receives the determining operation of the new washing information transmission of the output state of a user, the washing machine outputs the washing action corresponding to the new washing information.
In the technical scheme of the embodiment, the intelligent washing machine determines recommended washing information according to the recommended clothes information, and the user does not need to select the washing 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, the 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 showing a first embodiment of a washing laundry recommending apparatus according to the present invention; the device is applied to intelligent wardrobe, and the device includes:
the first obtaining module 101 is configured to obtain, when receiving a washing instruction, 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 acquisition module 102, configured to acquire a target laundry type of the target laundry.
A screening module 103, configured to screen recommended washing clothes from the target clothes based on the target clothes type and the target days of use.
And the output module 104 is configured to output recommended clothes information corresponding to the recommended washing clothes.
Referring to fig. 5, fig. 5 is a block diagram showing a construction of a first embodiment of a laundry washing apparatus according to the present invention, said apparatus being applied to a washing machine, said apparatus comprising:
and the receiving module 201 is configured to receive the recommended clothes information sent by the intelligent closet, where the intelligent closet sends the recommended clothes information when receiving a first determining operation of the recommended clothes information for the output state.
An obtaining module 202 is configured to obtain recommended washing information based on the recommended clothing information.
And the information output module 203 is configured to output the recommended cleaning information.
And the judging module 204 is used for judging whether the clothes to be washed in the washing machine meet the preset condition or not based on the second determining operation when the second determining operation aiming at the recommended washing information is received.
And the cleaning module 205 is configured to output a corresponding cleaning action based on the recommended cleaning information when the laundry in the washing machine satisfies a preset condition.
The foregoing description is only of the optional embodiments of the present invention, and is not intended to limit the scope of the invention, and all the equivalent structural changes made by the description of the present invention and the accompanying drawings or the direct/indirect application in other related technical fields are included in the scope of the invention.

Claims (11)

1. A method of recommending laundry washing for an intelligent wardrobe, the method comprising the steps of:
when a washing instruction is received, acquiring target using days of target clothes in a history using information set, wherein the history using information set stores using days of different clothes;
acquiring a target clothes type of the target clothes;
Selecting recommended washing laundry from the target laundry based on the target laundry type and the target days of use;
outputting recommended clothes information corresponding to the recommended washing clothes;
the step of selecting recommended washing laundry among the target laundry based on the target laundry type and the target days of use includes:
obtaining preset days of use of the target clothes according to the type of the target clothes;
and screening recommended washing clothes with the target using days being greater than or equal to the preset using days from the target clothes.
2. The method of recommending washing laundry according to claim 1, wherein the step of acquiring the target days of use of the target laundry in the set of historical use information, upon receiving the washing instruction, further comprises:
acquiring the end date of the previous washing action of the target clothes, and zeroing the using days of the target clothes;
counting the number of times of daily occurrence of the target clothes in the intelligent wardrobe by taking the ending date as a time starting point;
updating the number of usage days after zeroing based on the occurrence times to obtain new number of usage days;
Based on the new days of use, a historical set of usage information is obtained.
3. The method of recommending laundry washing according to claim 2, wherein the step of updating the number of days of use after the zeroing based on the number of occurrences, to obtain a new number of days of use, comprises:
at the zero point of each day, judging whether the occurrence times of the target clothes in the previous day meet preset conditions or not;
when the number of occurrences of the target laundry on the previous day does not satisfy a preset condition, determining the number of days of use of the previous day as a new number of days of use, or,
and when the occurrence times of the previous day of the target clothes meet the preset condition, adding one to the use days of the previous day to obtain new use days.
4. A laundry washing method based on the recommended method for washing laundry according to any one of claims 1-3, characterized in that it is used in a washing machine, said method comprising the steps of:
receiving the recommended clothes information sent by the intelligent wardrobe, wherein the recommended clothes information is sent by the intelligent wardrobe when a first determining operation of the recommended clothes information aiming at an output state is received;
acquiring recommended washing information based on the recommended clothes information;
Outputting the recommended cleaning information;
when receiving a second determining operation for the recommended washing information, judging whether the clothes to be washed in the washing machine meet preset conditions or not based on the second determining operation;
and outputting a corresponding cleaning action based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet preset conditions.
5. The laundry washing method according to claim 4, characterized in that the recommended laundry information includes a recommended laundry type and a recommended laundry amount; the step of obtaining recommended washing information based on the recommended clothing 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;
screening the selected cleaning agent dosage and the selected water quantity corresponding to the recommended clothes quantity in the preset recommended cleaning strategy set, wherein the preset recommended cleaning strategy set also comprises the cleaning agent dosage and the water quantity 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.
6. The laundry washing method according to claim 4, wherein the step of judging whether laundry in the washing machine satisfies a preset condition based on the second determination operation upon receiving the second determination operation for the recommended washing information, comprises:
acquiring laundry information of laundry in the washing machine based on a second determination operation when the second determination operation for the recommended washing information is received;
judging whether the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is larger than or equal to a preset threshold value;
when the matching degree of the clothes information of the clothes to be cleaned and the recommended clothes information is larger than or equal to the preset threshold value, judging that the clothes to be cleaned in the washing machine meet a 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 threshold value, judging that the clothes to be cleaned in the washing machine does not meet the preset condition.
7. A washing laundry recommending apparatus, characterized by being applied to an intelligent wardrobe, comprising:
the first acquisition module is used for acquiring target using days of target clothes in a history using information set when a cleaning instruction is received, wherein the history using information set stores using days of different clothes;
A second acquisition module for acquiring a target laundry type of the target laundry;
a screening module for screening recommended washing laundry among the target laundry based on the target laundry type and the target days of use;
the output module is used for outputting recommended clothes information corresponding to the recommended washing clothes;
the screening module is further used for obtaining preset days of use of the target clothes according to the type of the target clothes; and screening recommended washing clothes with the target using days being greater than or equal to the preset using days from the target clothes.
8. A laundry washing apparatus, characterized in that it is applied to a washing machine, comprising:
the intelligent clothes cabinet comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving recommended clothes information sent by the intelligent clothes cabinet, wherein the recommended clothes information is sent by the intelligent clothes cabinet when a first determining operation of the recommended clothes information aiming at an output state is received; the recommended clothes information is obtained based on recommended washing clothes obtained by screening the target clothes according to the target clothes type and the target use days after the intelligent wardrobe obtains the target use days and the target clothes type of the target clothes, wherein the recommended washing clothes are clothes with the target use days which are greater than or equal to the preset use days and are screened from the target clothes after the intelligent wardrobe obtains the preset use days of the target clothes according to the target clothes type;
The acquisition module is used for acquiring recommended cleaning information based on the recommended clothes 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 washed in the washing machine meet preset conditions or not based on the second determining operation when receiving the second determining operation aiming at the recommended washing information;
and the cleaning module is used for outputting corresponding cleaning actions based on the recommended cleaning information when the clothes to be cleaned in the washing machine meet preset conditions.
9. An intelligent wardrobe, characterized in that, the intelligent wardrobe includes: a memory, a processor and a washing laundry recommendation program stored on the memory and executable on the processor, the washing laundry recommendation program being configured to implement the steps of the washing laundry recommendation method according to any one of claims 1 to 3.
10. A washing machine, comprising: a memory, a processor and a laundry recommendation program stored on the memory and executable on the processor, the laundry recommendation program being configured to implement the steps of the laundry washing method according to any one of claims 4 to 6.
11. A computer-readable storage medium, characterized in that a laundry recommended program and a laundry washing program are stored on the computer-readable storage medium, the laundry recommended program implementing the steps of the laundry washing method according to any one of claims 1 to 3 when being executed by a processor, and the laundry washing program implementing the steps of the laundry washing method according to any one of claims 4 to 6 when being executed by a processor.
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