CN117144623A - Prompting method based on clothes management system and clothes management system - Google Patents
Prompting method based on clothes management system and clothes management system Download PDFInfo
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- CN117144623A CN117144623A CN202210567334.1A CN202210567334A CN117144623A CN 117144623 A CN117144623 A CN 117144623A CN 202210567334 A CN202210567334 A CN 202210567334A CN 117144623 A CN117144623 A CN 117144623A
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- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000005406 washing Methods 0.000 claims abstract description 40
- 238000004140 cleaning Methods 0.000 claims description 14
- 238000001035 drying Methods 0.000 claims description 6
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- 239000000463 material Substances 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 230000007246 mechanism Effects 0.000 description 5
- 238000013136 deep learning model Methods 0.000 description 4
- 239000013043 chemical agent Substances 0.000 description 3
- 239000007850 fluorescent dye Substances 0.000 description 3
- 229920000742 Cotton Polymers 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 210000000085 cashmere Anatomy 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010412 laundry washing Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 229920000728 polyester Polymers 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/50—Control of washer-dryers characterised by the purpose or target of the control
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F57/00—Supporting means, other than simple clothes-lines, for linen or garments to be dried or aired
Abstract
The application relates to the technical field of intelligent home furnishing, in particular to a prompting method based on a clothes management system and the clothes management system, and aims to solve the problem that a user often forgets newly purchased clothes. For this purpose, the prompting method of the application comprises the following steps: under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, acquiring a current clothes image; determining the wearing mode of the current clothes according to the current clothes image; according to the wearing mode, the clothes management system is selectively enabled to send prompt information, a user can be timely reminded of wearing or washing the current clothes, the situation that the user forgets the current clothes in the intelligent wardrobe is avoided, unnecessary waste is avoided, and further the use experience of the user is improved.
Description
Technical Field
The application relates to the technical field of intelligent home furnishing, and particularly provides a prompting method based on a clothes management system and the clothes management system.
Background
With the continuous improvement of the production technology level and the continuous increase of the user demands, more and more consumers pursue more convenient and comfortable home experiences. In the living of the families, the wardrobe is a common furniture for storing clothes of people, and the clothes worn by people every day can be different along with season changes and weather changes, so that more and more clothes are stored in the wardrobe. In particular, garments are purchased in advance and hung into a wardrobe for later wearing during season changes.
However, modern life is tense and has a lot of things, so that many users often forget to put new clothes into the wardrobe, and the new clothes are not worn in time, so that unnecessary waste is caused, and great trouble is brought to the users.
Accordingly, there is a need in the art for a new laundry management system-based reminder method and laundry management system to address the above-described problems.
Disclosure of Invention
The application aims to solve the technical problems, namely, the problem that a user often forgets to buy new clothes.
In a first aspect, the present application provides a prompting method based on a clothes management system, the clothes management system comprising an intelligent wardrobe; the prompting method comprises the following steps: under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, acquiring a current clothes image; determining the wearing mode of the current clothes according to the current clothes image; and selectively enabling the clothes management system to send prompt information according to the wearing mode.
In a preferred technical solution of the foregoing prompting method, the step of determining the wearing mode of the current garment according to the current garment image specifically includes: determining the type of the current clothes according to the current clothes image; judging whether the type is in a preset range or not; if the type is within the preset range, determining that the current clothes are worn next to the skin; and/or if the type is not within the preset range, determining that the current garment is not in close-fitting wearing.
In a preferred technical solution of the foregoing prompting method, the step of selectively enabling the clothing management system to send the prompting information according to the wearing mode specifically includes: when the current clothes are determined to be worn next to the skin, judging whether the current clothes are pretreated or not; if the current clothes are not pretreated, the clothes management system sends prompt information for cleaning the current clothes; and/or if the current clothes are preprocessed, the clothes management system does not send prompt information.
In a preferred technical solution of the prompting method, the clothes treatment system further comprises a washing device or an airing device; wherein, the pretreatment mode comprises washing treatment or airing treatment; the step of judging whether the current laundry is pretreated specifically includes: judging whether the current clothes are washed by the washing equipment or not; or judging whether the current clothes are subjected to airing treatment by the airing equipment.
In a preferred technical solution of the foregoing prompting method, before "making the clothes management system send the prompt information for cleaning the current clothes", the prompting method further includes: acquiring the purchase time of the current clothes; acquiring a first current time; calculating a first duration between the first current time and the purchase time; judging whether the first time length is longer than a first preset time length or not; and when the first time length is longer than the first preset time length, the clothes management system is enabled to send prompt information for cleaning the current clothes.
In a preferred technical solution of the foregoing prompting method, the step of selectively enabling the clothing management system to send prompting information according to the wearing mode further includes: when the current clothes are not worn next to the skin, weather information is acquired; judging whether the current clothes are suitable for wearing according to the weather information; if the clothes are judged to be suitable for wearing the current clothes, the clothes management system sends prompt information for wearing the current clothes; and/or if it is determined that the present laundry is not suitable to be worn, the laundry management system is not caused to send a prompt message.
In the preferred technical scheme of the prompting method, before the weather information is acquired, the prompting method further comprises: acquiring the purchase time of the current clothes; acquiring a second current time; calculating a second duration between the second current time and the purchase time; judging whether the second time length is longer than a second preset time length or not; and acquiring weather information when the second time period is longer than the second preset time period.
In a preferred technical solution of the foregoing prompting method, the step of "obtaining the first purchase time of the current laundry" specifically includes: acquiring the first purchase time through a user side; and/or the step of "obtaining the second purchase time of the current laundry" specifically includes: and acquiring the second purchase time through the user side.
In a preferred technical solution of the foregoing prompting method, the step of selectively enabling the clothing management system to send prompting information according to the wearing mode further includes: when the current clothes are not worn next to the skin, acquiring target clothes selected by a user; judging whether the current clothes and the target clothes can be matched; if the current clothes and the target clothes can be matched, the clothes management system sends prompt information of wearing the current clothes; and/or if the current clothes and the target clothes cannot be matched, the clothes management system does not send prompt information.
In a second aspect, the present application also provides a laundry management system comprising: a processor; a memory adapted to store a plurality of program code adapted to be loaded and executed by the processor to perform the prompting method of any of the embodiments described above.
In the preferred technical scheme of the prompting method, under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, a current clothes image is acquired; determining the wearing mode of the current clothes according to the current clothes image; according to the wearing mode, the clothes management system is selectively enabled to send prompt information.
Compared with the technical scheme that the user forgets to wear newly purchased clothes in the prior art, the intelligent clothes cabinet has the advantages that under the condition that the current clothes are put into the intelligent clothes cabinet for the first time, whether the current clothes are worn next to the skin or worn outside or other wearing modes can be accurately determined according to the current clothes image, based on the fact, the clothes management system is selectively enabled to send prompt information, the user can be timely reminded of wearing or washing the current clothes, the situation that the user forgets to put the current clothes into the intelligent clothes cabinet is avoided, unnecessary waste is avoided, and further the use experience of the user is improved.
Further, when the current clothes are determined to be worn next to the skin, as the next to the skin of the user is directly contacted, chemical agents such as fluorescent agents and the like possibly remain on the current clothes, and pretreatment such as washing or airing is preferably performed before the current clothes are worn, based on the fact that if the current clothes are not pretreated, the clothes management system sends prompt information for washing the current clothes, the user can be reminded to wash the current clothes in time, and the user is ensured to wear clean current clothes when the user wants to wear the current clothes; if the current clothes are preprocessed, prompt information does not need to be sent so as not to disturb the user.
Further, when it is determined that the current clothes are not worn next to the skin, for example, clothes such as sweater, jeans and wind clothes, the clothes are required to be worn in different weather, based on the weather information, whether the clothes are suitable for wearing the current clothes can be judged, whether the user needs to be reminded of wearing the current clothes is further determined, the user can be reminded of wearing the current clothes in time, the user cannot be disturbed, and user experience is further improved.
In addition, when the current clothes are not worn next to the skin, as most users are not professional collocations, the best collocation effect can be achieved only by the fact that the collocation is not clear, based on the fact that whether the current clothes and the target clothes can be collocated is judged under the condition that the user selects the target clothes, whether the user needs to be reminded to wear the current clothes or not is further determined, the wearing requirement of the user is taken as the main requirement, the requirement that the user wears the selected target clothes can be met, the user can be reminded of wearing the current clothes in time, good collocation effect can be achieved, and user experience is further improved.
Drawings
The prompting method of the present application is described below with reference to the accompanying drawings in conjunction with a washing machine, in which:
FIG. 1 is a flow chart of a prompting method of the present application;
FIG. 2 is a flow chart of the present application for determining the manner of wear;
FIG. 3 is a flow chart of the present application for selectively sending a hint;
FIG. 4 is a flow chart of the present application for sending a prompt for cleaning a current garment;
FIG. 5 is a second flowchart of the present application for selectively sending a hint;
FIG. 6 is a flow chart of the present application for obtaining weather information;
FIG. 7 is a third flowchart of the present application for selectively sending a hint;
fig. 8 is a logic diagram of the prompting method of the present application.
Detailed Description
Preferred embodiments of the present application are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present application, and are not intended to limit the scope of the present application. For example, although the present application is described in connection with a washing machine and a laundry rack, the technical solution of the present application is not limited thereto, and in practical applications, the washing apparatus may be any laundry washing apparatus such as a washing and drying integrated machine, a steam washing apparatus, a shoe washing machine, etc.; the clothes drying device may also be a device such as a clothes drying rod that can be used for drying clothes. The washing machine may be pulsator washing machine, drum washing machine, etc.
It should be noted that in the description of the present application, the terms "first," "second," "third," "fourth," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Furthermore, it should be noted that, in the description of the present application, unless explicitly specified and limited otherwise, the terms "disposed," "connected" and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; may be directly connected. The specific meaning of the above terms in the present application can be understood by those skilled in the art according to the specific circumstances.
Based on the technical problems in the background art, the application provides a prompting method based on a clothes management system, which aims to accurately determine whether the current clothes are worn next to the skin or worn outside according to the current clothes image under the condition that the current clothes are put into an intelligent wardrobe for the first time, and based on the prompting method, the clothes management system is selectively enabled to send prompting information, a user can be reminded of wearing or washing the current clothes in time, the situation that the user forgets the current clothes in the intelligent wardrobe is avoided, unnecessary waste is avoided, and further the use experience of the user is improved.
Referring first to fig. 1 and 2, a prompting method of the present application will be described. FIG. 1 is a flow chart of the prompting method of the present application; fig. 2 is a flowchart of the present application for determining the wearing pattern.
The clothes management system comprises an intelligent wardrobe, wherein the intelligent wardrobe is used for accommodating clothes, and a user can hang the clothes in the intelligent wardrobe. Wherein, be equipped with image acquisition mechanism such as camera, camera on the intelligent wardrobe, image acquisition mechanism can shoot the clothing image of hanging in intelligent wardrobe. Or the intelligent wardrobe is provided with a first RFID reader, and the first RFID reader is used for reading RFID tags on clothes.
As shown in fig. 1, the prompting method of the present application includes the following steps:
s100, under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, acquiring a current clothes image;
s200, determining the wearing mode of the current clothes according to the current clothes image;
s300, selectively enabling the clothes management system to send prompt information according to the wearing mode.
The specific method for detecting whether the current clothes are put into the intelligent wardrobe for the first time comprises the following steps: acquiring an image of the undetermined clothes put into the intelligent wardrobe through an image acquisition mechanism, comparing the acquired image of the undetermined clothes with historical clothes images stored in a clothes management system and put into the intelligent wardrobe, respectively calculating the similarity of the image of the undetermined clothes and each historical clothes image, and judging that the undetermined clothes is not put into the intelligent wardrobe for the first time if the similarity of the acquired image of the undetermined clothes and any one of the historical clothes images is greater than or equal to a preset similarity; if the similarity between the acquired image of the to-be-determined clothes and any one of the historical clothes images is smaller than the preset similarity, the to-be-determined clothes are judged to be put into the intelligent wardrobe for the first time, namely the current clothes, and the image of the to-be-determined clothes can be directly used as the current clothes image at the moment without acquiring the current clothes image again.
Or, a preset deep learning model can be called to identify the image of the to-be-determined clothes so as to identify the characteristic information such as the color, the type, the length, the material and the like of the to-be-determined clothes, the characteristic information of the to-be-determined clothes is compared with the stored characteristic information of the historical clothes, and if the same characteristic information exists, the fact that the to-be-determined clothes is not put into the intelligent wardrobe for the first time is indicated; if the same characteristic information does not exist, the laundry to be determined is put into the intelligent wardrobe for the first time.
The deep learning model may be, but is not limited to, CNN model, res net101 model, deep v3+ model, res next model, HRNet model, and other models.
Or in an alternative embodiment, the first RFID reader reads the RFID tag on the laundry placed in the intelligent wardrobe, judges whether the RFID tag is read for the first time, and if the RFID tag is not read for the first time, judges that the laundry is not placed in the intelligent wardrobe for the first time; if the RFID tag is read for the first time, the laundry to be determined is put into the intelligent wardrobe for the first time, namely the current laundry, and in this case, the current laundry image needs to be acquired through the image acquisition mechanism.
Of course, the method of detecting whether the current clothes are put into the intelligent wardrobe for the first time is not limited to the above-mentioned method, and other methods may be adopted to determine whether the current clothes are put into the intelligent wardrobe for the first time, no matter what method is adopted.
The wearing mode can be divided into close-fitting wearing and non-close-fitting wearing, or other modes such as a through-head mode, a coating mode, a tying mode, a wrapping mode and the like. The present application is further described below with respect to fit and non-fit.
As shown in fig. 2, in step S200, the step of "determining the wearing mode of the current laundry according to the current laundry image" specifically includes:
s211, determining the type of the current clothes according to the current clothes image;
s212, judging whether the type is in a preset range; if yes, go to step S213; if not, executing step S214;
s213, determining that the current clothes are worn next to the skin;
s214, determining that the current clothes are not worn next to the skin.
In step S211, the above-listed deep learning model may be called to identify the current clothes image, so as to identify the color, type, length, material and other characteristic information of the current clothes, thereby determining the type of the current clothes, such as western style trousers, shirts, wind jackets, down jackets, sweaters, cashmere jackets, vests, socks, underwear, vests, home jackets, qiu Yi, autumn trousers, and the like.
The preset range includes, but is not limited to, clothing items worn next to the skin such as socks, underwear, vests, home wear, qiu Yi, qiu Ku, etc.
As a specific example, if the current garment is identified as being an undergarment, being within the preset range, it may be determined that the current garment is next to the skin; or the current clothes are identified as the windshields and are not in the preset range, so that the current clothes can be judged to be worn outside and not worn next to the skin.
It should be noted that, in the above process, the step S213 and the step S214 are not in sequence, and are parallel, and only related to the determination result of whether the type of the current clothes is within the preset range, and the corresponding steps may be executed according to different determination results.
The method of selectively transmitting a hint information according to the present application will be described with reference to fig. 3 to 5. FIG. 3 is a flowchart illustrating a method for selectively sending a prompt message according to the present application; FIG. 4 is a flow chart of the present application for sending a prompt for cleaning a current garment; FIG. 5 is a second flowchart of the present application for selectively sending a hint; FIG. 6 is a flow chart of the present application for obtaining weather information; FIG. 7 is a flow chart III of the present application for selectively sending a hint.
The clothes management system also comprises washing equipment or airing equipment, wherein the washing equipment can be other equipment for washing clothes, such as a washing machine, a washing and drying integrated machine, steam washing equipment and the like; the airing device can be a clothes hanger, a clothes hanger and other devices for airing clothes.
As shown in fig. 3, when it is determined that the current garment is in close-fitting wear, step S300 specifically includes:
s311, judging whether the current clothes are pretreated or not; if not, executing step S312; if yes, go to step S313;
s312, enabling the clothes management system to send prompt information for cleaning the current clothes;
s313, the clothes management system does not send prompt information.
Since the underwear directly contacts the skin of the user, chemical agents such as fluorescent agents may remain on the current clothes, and pretreatment such as washing or airing is preferably performed before the clothes are worn, based on this, whether the current clothes are pretreated or not needs to be judged, wherein the pretreatment mode includes but is not limited to washing treatment or airing treatment.
For example, historical washing data of the washing machine can be obtained, and based on the historical washing data, whether the current clothes are washed by the washing machine is judged, if so, the current clothes are washed, and otherwise, the current clothes are not washed; or, it may also be determined whether the RFID tag on the current laundry has been read by a second RFID reader provided on the washing machine, if so, indicating that the current laundry has been washed, otherwise, indicating that the current laundry has not been washed.
For another example, historical airing data of the clothes hanger can be obtained, whether the current clothes are aired by the clothes hanger is judged based on the historical airing data, if so, the current clothes are washed by the washing machine or are aired after the user washes by hands, and if not, the current clothes are aired after being washed, otherwise, the current clothes are not washed and are aired; or, whether the RFID tag on the current clothes is read by the third RFID reader arranged on the clothes hanger can be judged, if so, the current clothes are all washed and then aired, and otherwise, the current clothes are not washed and aired.
Of course, the method of judging whether the current laundry is pretreated is not limited to the above-listed method, and other methods may be adopted for judging whether the current laundry is pretreated such as washing or airing, regardless of the method.
Further, if it is determined that the current clothes are not pretreated, as the current clothes are close-fitting clothes, chemical agents such as fluorescent agents and the like possibly remain on the clothes and are not suitable for being worn directly, and a user needs to be prompted, the clothes management system sends prompt information for cleaning the current clothes, so that the user can be reminded to clean the current clothes in time, and the user is ensured to wear clean current clothes when the user wants to wear the clothes. In contrast, if it is determined that the current laundry is pre-treated, it is indicated that the current laundry can be worn at any time without prompting the user so as not to disturb the user.
Still further, as shown in fig. 4, before step S312, the prompting method further includes:
s321, acquiring a first purchase time of the current clothes;
s322, acquiring a first current time;
s323, calculating a first duration between the first current time and the first purchase time;
s324, judging whether the first time length is longer than a first preset time length;
and S325, when the first time length is longer than the first preset time length, enabling the clothes management system to send prompt information for cleaning the current clothes.
In step S321, the first purchase time of the current laundry may be obtained by the user side, for example, through a payment record or an order record of the user, and the first purchase time of the current laundry is determined.
The user terminal can be an APP installed on the terminal equipment, and the terminal equipment can be a mobile intelligent terminal such as a mobile phone, a tablet personal computer, an intelligent bracelet and an intelligent watch, or a non-mobile intelligent terminal such as a computer and an intelligent sound box.
In step S322, the first current time may be obtained through a server of the laundry management system, or may be obtained through a time module provided on the intelligent clothes closet, the washing machine, or the laundry rack.
For example, the first preset duration is 7 days, the acquired purchase time is 5 months and 10 days, the acquired first current time is 5 months and 20 days, the first duration is 10 days, and the first duration is longer than the first preset duration, which indicates that the user does not pretreat the current clothes for washing, airing and the like in such a long time, and the user is likely to forget the current clothes, and at this time, the clothes management system is enabled to send prompt information for cleaning the current clothes and prompt the user to clean the current clothes.
For another example, the first preset duration is 7 days, the obtained purchase time is 5 months and 10 days, the obtained first current time is 5 months and 16 days, the first duration is 6 days, and is smaller than the first preset duration, because many users now like online shopping, although the current clothes have been purchased for 6 days, in consideration of the express time, perhaps the current clothes are just received today, the users have not yet come to perform pretreatment such as cleaning and airing on the current clothes, prompt information is not sent once without prompting the users, so as not to disturb the users, and step S322 is returned until the first duration is longer than the first preset duration.
It should be noted that the above-listed first preset time period is only exemplary and not limiting, and those skilled in the art may flexibly adjust and set the first preset time period according to shopping habits, experiences, experiments, etc. of the user.
It should be noted that, step S312 and step S313 are not in sequence, are parallel, and are only related to the determination result of whether the current clothes are pretreated, and execute the corresponding steps according to different determination results. The execution sequence of step S321 and step S322 is not limited to the above-listed sequence, and step S322 may be executed first, then step S321 may be executed, or step S321 and step S322 may be executed simultaneously, which is not limited in the present application.
As shown in fig. 5, when it is determined that the current garment is not in close-fitting wear, step S300 further includes:
s331, obtaining weather information;
s332, judging whether the clothes are suitable for wearing the current clothes according to weather information; if yes, go to step S333; if not, executing step S334;
s333, enabling the clothes management system to send prompt information of wearing the current clothes;
s334, the clothes management system does not send prompt information.
Because the clothes such as sweater, jeans, windwear and the like which are not worn next to the skin are various, the clothes are required to be worn under different weather, based on the clothes, whether the clothes are suitable for wearing the current clothes can be judged according to weather information, so that whether the user needs to be reminded of wearing the current clothes is further determined, the user can be reminded of wearing the current clothes in time, the user cannot be disturbed, and the user experience is further improved.
Further, the weather information may be obtained through a server of the laundry management system, or may be obtained through a weather module provided on the intelligent wardrobe, the washing machine, or the laundry rack. The weather information comprises temperature, cloudy days, cloudiness, wind power, haze, rain, snow, ultraviolet front and other information.
Specific examples are that the current clothes are half sleeves, the acquired weather information is sunny days, the temperature is 30 ℃, the air temperature is high, the clothes management system is suitable for wearing the half sleeves and can prompt a user, the clothes management system is enabled to send prompt information for wearing the current clothes, the user is timely reminded of wearing the current clothes, the user is prevented from forgetting the current clothes in the intelligent wardrobe, unnecessary waste is avoided, and further the use experience of the user is improved.
For another example, the current clothes are wind jackets, the acquired weather information is sunny days, the temperature is 30 ℃, the air temperature is high, the wind jackets are not suitable for wearing, and users do not need to be prompted, so that the users are not disturbed.
Still further, as shown in fig. 6, before step S331, the prompting method further includes:
s341, acquiring a second purchase time of the current clothes;
s342, obtaining a second current time;
s343, calculating a second duration between the second current time and the second purchase time;
s344, judging whether the second time length is longer than a second preset time length;
and S345, acquiring weather information when the second time period is longer than the second preset time period.
In step S341, the second purchase time of the current laundry may be obtained by the user side, for example, through a payment record or an order record of the user, and the second purchase time of the current laundry is determined.
In step S342, the second current time may be obtained through a server of the laundry management system, or may be obtained through a time module provided on the intelligent clothes closet, the washing machine, or the laundry rack.
For example, the second preset duration is 6 days, the acquired purchase time is 5 months and 13 days, the acquired first current time is 5 months and 25 days, the first duration is 12 days, and the first duration is longer than the first preset duration, which indicates that the user does not wear the current clothes in such a long time, and the user is likely to forget the current clothes, and at this time, the weather information is acquired, so that the user is reminded of wearing the current clothes in time based on the weather information.
For another example, the first preset duration is 6 days, the acquired purchase time is 5 months and 13 days, the acquired first current time is 5 months and 18 days, the first duration is 5 days, which is smaller than the first preset duration, because many users now like online shopping, although the current clothes have been purchased for 5 days, the current clothes are probably just received today considering the express time, the users have not yet come to wear the current clothes, the users do not need to be prompted temporarily, prompt information is not sent so as not to disturb the users, and step S342 is returned until the second time is longer than the second preset duration.
It should be noted that the above-listed second preset time period is only exemplary, and not limiting, and those skilled in the art may flexibly adjust and set the second preset time period according to shopping habits, experiences, experiments, and the like of the user.
It should be noted that, step S333 and step S334 are not in sequence, are parallel, and are merely related to the determination result of whether the present garment is suitable for wearing, and execute the corresponding steps according to different determination results. The execution sequence of step S341 and step S342 is not limited to the above-listed sequence, and step S342 may be executed first, then step S341 may be executed, or step S341 and step S342 may be executed simultaneously, which is not limited in the present application.
In an alternative embodiment, as shown in fig. 7, when it is determined that the current garment is not in close-fitting wear, step S300 further includes:
s351, acquiring target clothes selected by a user;
s352, judging whether the current clothes and the target clothes can be matched; if yes, go to step S353; if not, execute step S354;
s353, enabling the clothes management system to send prompt information for wearing the current clothes;
s354, the clothes management system does not send prompt information.
Because most users are not professional collocations and do not know how to match to achieve the optimal collocation effect, based on the optimal collocation effect, whether the current clothes and the target clothes can be matched or not can be judged based on the target clothes selected by the users, so that whether the users need to be reminded of wearing the current clothes or not is further determined, the wearing requirement of the users is taken as a main requirement, the requirements of the users on wearing the selected target clothes can be met, the users can be reminded of wearing the current clothes in time, good collocation effect can be achieved, and user experience is further improved.
Further, the image acquisition mechanism is used for acquiring a target clothes image taken out of the intelligent wardrobe, and a preset deep learning model is called to identify the image of the to-be-identified clothes, so that the target clothes are determined, and characteristic information such as color, type, length and material of the target clothes is identified.
Or, the first RFID reader can be used for reading the RFID tag on the target clothes taken out from the intelligent wardrobe, and the characteristic information such as the color, the type, the length, the material and the like of the target clothes and the target clothes can be determined according to the RFID tag.
Of course, the method of acquiring the target laundry is not limited to the above-listed method, and other methods may be adopted for determination, whichever method is adopted, as long as the target laundry can be determined.
Further, the specific method for judging whether the current clothes and the target clothes can be matched is as follows: matching the characteristic information of the current clothes with the characteristic information of the target clothes, and matching the characteristic information of the current clothes with the characteristic information of the target clothes in terms of color, type, material and the like.
For example, the current clothes are white chiffon shirts, and the target clothes selected by the user are black polyester fiber western-style trousers, and whether the colors, the types and the materials are matched, so that the current clothes and the target clothes can be matched, the clothes management system can send prompt information for wearing the current clothes, prompt the user to wear the current clothes in time, the situation that the user forgets to put the current clothes in an intelligent wardrobe is avoided, unnecessary waste is avoided, and the use experience of the user is further improved.
For example, the current clothes are half sleeves of pink pure cotton, the target clothes selected by the user are green pure cotton sports pants, and although the materials and the styles are matched, the matching effect of the pink and green colors is not ideal, so that the current clothes and the target clothes are judged to be not matched, the user is not required to be prompted, and the user is not disturbed.
It should be noted that, step S353 and step S354 are not in sequence, are parallel, and are only related to the determination result of whether the current laundry and the target laundry can be collocated, and the corresponding steps may be executed according to different determination results.
In addition, in the above steps S312, S325, S333, and S353, a voice module may be provided on the intelligent wardrobe, so that the voice module sends out a voice prompt message, such as "wash current clothes", "wear current clothes"; alternatively, the intelligent wardrobe may be communicatively connected to the terminal device, and the user may be prompted to clean the current clothes, wear the current clothes, or the like by sending information to the terminal device, which is flexibly adjusted and changed without departing from the principles and scope of the present application, and the present application is limited in scope.
Referring now to fig. 8, a possible control flow of the present application will be described using a basket and a washing machine as an example. Fig. 8 is a logic diagram of the presentation method of the present application.
As shown in fig. 8, one possible complete flow of the prompting method of the present application is:
s401, under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, acquiring a current clothes image;
s402, determining the type of the current clothes according to the current clothes image;
s403, judging whether the type is in a preset range; if yes, go to step S404; if not, executing step S405;
s404, determining that the current clothes are worn next to the skin; step S406 is then performed;
s405, determining that the current clothes are not worn next to the skin; step S411 is then performed;
s406, judging whether the current clothes are preprocessed or not; if not, executing step S407; if yes, go to step S414;
s407, acquiring a first purchase time t of the current clothes b And a first current time t 1 ；
S408, calculating a first current time t b With the first purchase time t 1 A first time period Δt therebetween;
s409, judging that Deltat is more than a first preset time period t 01 Whether or not to establish; if yes, go to step S410; if not, returning to the step S407 until the first time length is longer than the first preset time length;
s410, enabling the clothes management system to send prompt information for cleaning the current clothes;
s411, acquiring target clothes selected by a user;
s412, judging whether the current clothes and the target clothes can be matched; if yes, go to step S413; if not, go to step S414;
s413, enabling the clothes management system to send prompt information of wearing the current clothes;
s414, the clothes management system does not send prompt information.
It should be noted that the foregoing embodiment is only a preferred embodiment of the present application, and is only for illustrating the principle of the method of the present application, and is not intended to limit the scope of the present application, and in practical applications, those skilled in the art may perform the above function allocation by different steps, i.e. re-decompose or combine the steps in the embodiment of the present application. For example, the steps of the above embodiments may be combined into one step, or may be further split into multiple sub-steps to complete all or part of the functions described above. The names of the steps involved in the embodiments of the present application are merely for distinguishing the steps, and are not to be construed as limiting the present application.
In addition, the present application also provides a laundry management system, comprising: a processor; a memory adapted to store a plurality of program codes adapted to be loaded and executed by a processor to perform the prompting method of any of the above embodiments.
Thus far, the technical solution of the present application has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present application is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present application, and such modifications and substitutions will fall within the scope of the present application.
Claims (10)
1. The prompting method based on the clothes management system is characterized in that the clothes management system comprises an intelligent wardrobe; the prompting method comprises the following steps:
under the condition that the current clothes are detected to be put into the intelligent wardrobe for the first time, acquiring a current clothes image;
determining the wearing mode of the current clothes according to the current clothes image;
and selectively enabling the clothes management system to send prompt information according to the wearing mode.
2. The prompting method according to claim 1, wherein the step of determining the wearing mode of the current clothes according to the current clothes image specifically comprises:
determining the type of the current clothes according to the current clothes image;
judging whether the type is in a preset range or not;
if the type is within the preset range, determining that the current clothes are worn next to the skin; and/or
If the type is not within the preset range, determining that the current clothing is not in close-fitting wearing.
3. The method according to claim 2, wherein the step of selectively causing the clothes management system to transmit the prompt message according to the wearing mode comprises:
when the current clothes are determined to be worn next to the skin, judging whether the current clothes are pretreated or not;
if the current clothes are not pretreated, the clothes management system sends prompt information for cleaning the current clothes; and/or
If the current clothes are preprocessed, the clothes management system does not send prompt information.
4. A reminder method according to claim 3, wherein the laundry treatment system further comprises a washing appliance or a drying appliance; wherein, the pretreatment mode comprises washing treatment or airing treatment;
the step of judging whether the current laundry is pretreated specifically includes:
judging whether the current clothes are washed by the washing equipment or not; or alternatively
Judging whether the current clothes are subjected to airing treatment by the airing equipment.
5. A prompting method according to claim 3, wherein before "causing said laundry management system to send a prompt for cleaning a current laundry", said prompting method further comprises:
acquiring a first purchase time of the current clothes;
acquiring a first current time;
calculating a first duration between the first current time and the first purchase time;
judging whether the first time length is longer than a first preset time length or not;
and when the first time length is longer than the first preset time length, the clothes management system is enabled to send prompt information for cleaning the current clothes.
6. The presentation method as claimed in claim 2, wherein the step of selectively causing the laundry management system to transmit the presentation information according to the wearing manner further comprises:
when the current clothes are not worn next to the skin, weather information is acquired;
judging whether the current clothes are suitable for wearing according to the weather information;
if the clothes are judged to be suitable for wearing the current clothes, the clothes management system sends prompt information for wearing the current clothes; and/or
And if the clothes are not suitable for wearing the current clothes, the clothes management system does not send prompt information.
7. The method of claim 6, wherein prior to "obtaining weather information," the method further comprises:
acquiring a second purchase time of the current clothes;
acquiring a second current time;
calculating a second duration between the second current time and the second purchase time;
judging whether the second time length is longer than a second preset time length or not;
and acquiring weather information when the second time period is longer than the second preset time period.
8. The prompting method according to claim 5 or 7, wherein the step of "obtaining the first purchase time of the current laundry" specifically includes:
acquiring the first purchase time through a user side; and/or
The step of acquiring the second purchase time of the current laundry specifically includes:
and acquiring the second purchase time through the user side.
9. The presentation method as claimed in claim 2, wherein the step of selectively causing the laundry management system to transmit the presentation information according to the wearing manner further comprises:
when the current clothes are not worn next to the skin, acquiring target clothes selected by a user;
judging whether the current clothes and the target clothes can be matched;
if the current clothes and the target clothes can be matched, the clothes management system sends prompt information of wearing the current clothes; and/or
If the current clothes and the target clothes cannot be matched, the clothes management system does not send prompt information.
10. A laundry management system, the laundry management system comprising:
a processor;
a memory adapted to store a plurality of program code, the program code adapted to be loaded and executed by the processor to perform the prompting method of any one of claims 1 to 9.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210567334.1A CN117144623A (en) | 2022-05-23 | 2022-05-23 | Prompting method based on clothes management system and clothes management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210567334.1A CN117144623A (en) | 2022-05-23 | 2022-05-23 | Prompting method based on clothes management system and clothes management system |
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| CN202210567334.1A Pending CN117144623A (en) | 2022-05-23 | 2022-05-23 | Prompting method based on clothes management system and clothes management system |
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| CN (1) | CN117144623A (en) |
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