CN115467131A - Laundry treating apparatus and control method thereof - Google Patents
Laundry treating apparatus and control method thereof Download PDFInfo
- Publication number
- CN115467131A CN115467131A CN202110649822.2A CN202110649822A CN115467131A CN 115467131 A CN115467131 A CN 115467131A CN 202110649822 A CN202110649822 A CN 202110649822A CN 115467131 A CN115467131 A CN 115467131A
- Authority
- CN
- China
- Prior art keywords
- clothes
- treated
- laundry
- treatment
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 239000000463 material Substances 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 20
- 238000013136 deep learning model Methods 0.000 claims description 18
- 230000037303 wrinkles Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 12
- 238000005406 washing Methods 0.000 description 141
- 238000001035 drying Methods 0.000 description 6
- 230000003247 decreasing effect Effects 0.000 description 5
- 229920000742 Cotton Polymers 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 229920004933 Terylene® Polymers 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005562 fading Methods 0.000 description 2
- 229920000728 polyester Polymers 0.000 description 2
- 239000005020 polyethylene terephthalate Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000010412 laundry washing Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
Images
Classifications
-
- 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
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
-
- 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
-
- 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
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
-
- 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
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
- D06F2103/06—Type or material
Landscapes
- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The invention belongs to the technical field of clothes treatment equipment and aims to solve the problems that the accuracy of clothes treatment parameters is not high and the clothes treatment effect is not good due to the fact that a great deal of clothes information generates great interference on a user for setting the clothes treatment parameters according to the clothes information. To this end, the present invention provides a laundry treating apparatus and a control method thereof, the laundry treating apparatus being provided with an image pickup device, the control method comprising: acquiring an image of clothes to be treated; judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the image of the clothes to be treated; selectively determining clothes treatment parameters according to the judgment result and the historical data of the clothes to be treated; operating the laundry treating apparatus according to the determined laundry treating parameter. Through the arrangement, the setting of the clothes treatment parameters by the user according to the specific information of the clothes to be treated is not needed, more convenience is provided for the user, the accuracy of the clothes treatment parameters is improved, and the clothes treatment effect is ensured.
Description
Technical Field
The invention belongs to the technical field of clothes treatment equipment, and particularly provides clothes treatment equipment and a control method thereof.
Background
Along with the improvement of living standard of people, clothes processing equipment such as a washing machine, a clothes dryer, a washing and drying integrated machine, a shoe washing machine and the like become daily household appliances in daily life of people, and the types and the quantity of clothes of people are more and more. For clothes made of different materials, the clothes treatment parameters are different, and the same piece of clothes also needs to adopt different clothes treatment parameters in different states.
Generally, a user needs to set laundry treatment parameters according to specific information of laundry to be treated, and the numerous laundry information greatly interferes with the setting of the laundry treatment parameters by the user according to the laundry information, the accuracy of the laundry treatment parameters is not high, and the laundry treatment effect is not good.
Therefore, there is a need in the art for a new solution to the above problems.
Disclosure of Invention
In order to solve the above-mentioned problems in the prior art, i.e. to solve the problems that the accuracy of the clothes treatment parameters is not high and the clothes treatment effect is not good due to the fact that a great deal of clothes information generates great interference on the clothes treatment parameters set by the user according to the clothes information, in one aspect, the invention provides a control method of a clothes treatment device, wherein the clothes treatment device is provided with an image acquisition device, and the control method comprises the following steps: acquiring an image of clothes to be treated; judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the image of the clothes to be treated; selectively determining clothes treatment parameters according to the historical data of the clothes to be treated according to the judgment result; operating the laundry treating apparatus according to the determined laundry treating parameter.
In a preferred embodiment of the above control method, the step of "selectively determining the laundry processing parameter according to the historical data of the laundry to be processed according to the determination result" includes: if the clothes to be processed belong to the clothes processed by the clothes processing equipment, determining clothes processing parameters according to the historical data of the clothes to be processed.
In a preferred embodiment of the above control method, the step of "selectively determining laundry treatment parameters according to the historical data of the laundry to be treated according to the judgment result" includes: if the clothes to be treated do not belong to the clothes treated by the clothes treatment equipment, acquiring material information of the clothes to be treated according to the image of the clothes to be treated; and determining clothes treatment parameters according to the material information of the clothes to be treated.
In a preferred embodiment of the above control method, the history data includes a color depth of the laundry before the last treatment, and the step of determining the laundry treatment parameter according to the history data of the laundry includes: calling the color depth of the clothes to be treated before the last treatment; acquiring and storing the current color depth of the clothes to be processed according to the image of the clothes to be processed; determining the depth difference between the current color depth of the clothes to be treated and the color depth before the last treatment; determining laundry treatment parameters from the depth difference.
In a preferred embodiment of the above control method, the historical data further includes historical processing times of the laundry to be processed, and the step of determining the laundry processing parameter according to the depth difference includes: calling historical treatment times of the clothes to be treated; and determining clothes treatment parameters according to the depth difference and the historical treatment times.
In a preferred embodiment of the above control method, the step of "determining the laundry processing parameter based on the history data" includes: acquiring and storing current data of the clothes to be processed according to the image of the clothes to be processed; determining laundry treatment parameters based on the historical data and the current data.
In a preferred technical solution of the above control method, the current data includes a breakage degree of the laundry to be treated and a wrinkle degree of the laundry to be treated.
In a preferred technical solution of the above control method, the damage degree of the laundry to be treated is determined by: determining according to the number of damaged areas, the area of the damaged areas and the material information of the clothes to be treated; and/or the wrinkle degree of the clothes to be treated is determined in the following manner: and determining according to the number of wrinkles and the material information of the clothes to be treated.
In a preferred embodiment of the above control method, the step of determining whether the laundry to be treated belongs to the laundry treated by the laundry treatment apparatus according to the image of the laundry to be treated includes: inputting the image of the clothes to be processed into the trained deep learning model; and judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the output result of the deep learning model.
In the technical scheme of the invention, the clothes processing equipment is provided with an image acquisition device, and the control method comprises the following steps: acquiring an image of clothes to be treated; judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the image of the clothes to be treated; selectively determining clothes treatment parameters according to the judgment result and the historical data of the clothes to be treated; the laundry treating apparatus is operated according to the determined laundry treating parameter.
Through the arrangement, the clothes treatment parameters can be determined according to the acquired images of the clothes to be treated, the clothes treatment equipment can operate according to the determined clothes treatment parameters, and the user does not need to set the clothes treatment parameters according to the specific information of the clothes to be treated, so that more convenience is provided for the user. The clothes treatment parameters are selectively determined according to the historical data of the clothes to be treated according to whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment, so that the accuracy of the clothes treatment parameters is improved, and the clothes treatment effect is ensured. Whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not is judged through the acquired clothes treatment image, and an identifier does not need to be added to the clothes to be treated, so that the judgment mode is simpler and more convenient.
In another aspect, the present invention provides a clothes treating apparatus comprising: a memory; a processor; and a computer program stored in the memory and configured to be executed by the processor to implement the control method of the laundry treating apparatus in any one of the above-described aspects.
It should be noted that the laundry processing apparatus has all the technical effects of the above control method, and the details are not repeated herein.
Drawings
Preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which:
fig. 1 is a main step diagram of a control method of a laundry treating apparatus of the present invention;
fig. 2 is a flowchart of a control method of a washing machine according to a first embodiment of the present invention;
fig. 3 is a flowchart of a control method of a washing machine according to a second embodiment of the present invention.
Detailed Description
First, it should be understood by those skilled in the art that the embodiments described below are only for explaining the technical principle of the present invention and are not intended to limit the scope of the present invention. For example, the control method of the laundry treating apparatus of the present invention is applicable to a drum washing machine, a wheel washing machine, a clothes dryer, a washer-dryer, a shoe washer, etc. Such adjustments to the specific type of application object should not be construed as limiting the invention, but should be within the scope of the invention.
It should be noted that the terms "first" and "second" in the description of the present invention 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 invention, unless otherwise explicitly specified or limited, the term "connected" should be interpreted broadly, e.g., as a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; either directly or indirectly through intervening media, or through the communication between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a control method of a laundry treating apparatus according to the present invention will be described. Wherein, fig. 1 is a main step diagram of a control method of a laundry treating apparatus of the present invention.
Based on the problems mentioned in the background art that the accuracy of the clothes treatment parameters is not high and the clothes treatment effect is not good due to the fact that a user has large interference on the clothes treatment parameters set according to the clothes information by the aid of various clothes information, the invention provides a control method of clothes treatment equipment, and the clothes treatment equipment is provided with an image acquisition device.
As shown in fig. 1, the control method of the laundry treating apparatus of the present invention mainly includes the steps of:
step S100, acquiring an image of the clothes to be processed.
For example, the image capturing device is a camera module connected to a controller of the laundry treatment apparatus, and the controller controls the camera module to take a picture of the inside of the laundry treatment apparatus and extract an image of laundry to be treated in the laundry treatment apparatus from the taken picture.
Step S200, judging whether the clothes to be processed belong to the clothes processed by the clothes processing equipment according to the images of the clothes to be processed.
For example, different clothes have different patterns or designs, and for the clothes processed by the clothes processing equipment, the clothes processing equipment stores the pattern or design information on the clothes. And comparing the extracted image of the clothes to be treated with the pattern or pattern information of the clothes treated by the clothes treatment equipment stored in the clothes treatment equipment to judge whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment.
And step S300, selectively determining clothes treatment parameters according to the historical data of the clothes to be treated according to the judgment result.
If the laundry to be treated belongs to the laundry treated by the laundry treating apparatus, laundry treating parameters are determined according to history data of the laundry to be treated. For example, each time the laundry is treated using the laundry treating apparatus, an image of the laundry to be treated is extracted after photographing the laundry to be treated, and a color depth of the laundry to be treated is acquired and stored from the image of the laundry to be treated. When the same piece of clothes is processed by the clothes processing equipment next time, the stored color depth of the clothes to be processed before the last processing is called, the depth difference between the color depth of the clothes to be processed acquired this time and the color depth before the last processing is determined, and the clothes processing parameter is determined according to the depth difference.
Step S400, the clothes processing equipment is operated according to the determined clothes processing parameters.
Through the arrangement, the setting of the clothes treatment parameters by the user according to the specific information of the clothes to be treated is not needed, and more convenience is provided for the user. The laundry treatment parameter is selectively determined according to the historical data of the laundry to be treated according to whether the laundry to be treated belongs to the laundry treated by the laundry treatment apparatus, the accuracy of the laundry treatment parameter is improved, and the laundry treatment effect is guaranteed. Whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not is judged through the acquired clothes treatment image, and an identifier does not need to be added to the clothes to be treated, so that the judgment mode is simpler and more convenient.
A first embodiment of the present invention will be described with reference to fig. 2 in conjunction with a washing machine. Fig. 2 is a flowchart of a control method of a washing machine according to a first embodiment of the present invention.
In a first embodiment of the present invention, the washing machine is a drum washing machine (hereinafter referred to as washing machine), a camera module serving as an image capturing device is disposed at a laundry loading port on a front side plate of the washing machine, the camera module is connected to a controller of the washing machine, and the controller is connected to the cloud server. As shown in fig. 2, the control method of the washing machine includes:
step S110, obtaining the image of the clothes to be washed.
The controller controls the camera module to take a picture in the washing machine, then the taken picture is obtained and transmitted to the cloud server, and the cloud server processes the picture by adopting a target detection algorithm (such as FCOS, SSD, YOLOv3 or Faster R-CNN) and then obtains an image of clothes to be washed in the picture.
And step S210, inputting the image of the clothes to be washed into the trained deep learning model.
When using washing machine for the first time, after washing machine was put into to the clothing of waiting to wash, the cylinder can rotate by the low-speed and make the clothing be in different position and state, and the camera module shoots a large amount of pictures and transmits to high in the clouds server at different moments to train the degree of deep learning model, degree of deep learning model can be used for discernment when washing the clothing once more and wait to wash the clothing. It can be understood that, after a new drum washing machine is replaced, the deep learning model in the original drum washing machine can be downloaded from the cloud server so as to identify the clothes to be washed.
And step S220, obtaining an output result of the deep learning model.
If the image of the laundry is inputted into the trained deep learning model (such as ResNet101, resNeXt or R-CNN), the deep learning model extracts the features in the image of the laundry to be washed to represent by 512-dimensional vectors, compares the features of the image of the laundry with the features of all the laundry washed by the washing machine, and outputs the Euler distance between the features of the image of the laundry and the features of each piece of all the laundry washed by the washing machine.
Step S230, determining whether the laundry belongs to the laundry washed by the washing machine, if yes, performing step S311, otherwise, performing step S321.
And judging whether the clothes to be washed belong to the clothes washed by the washing machine or not according to the output result of the deep learning model. Specifically, if the euler distance between the characteristic of the laundry and the characteristic of a certain piece of laundry washed by the washing machine is higher than the preset value, it is determined that the laundry and the piece of laundry belong to the same piece of laundry, otherwise, it is determined that the laundry and the piece of laundry do not belong to the same piece of laundry. It should be noted that the deep learning model can also directly output the result of whether the laundry belongs to the laundry washed by the washing machine, and the conclusion of whether the laundry belongs to the laundry washed by the washing machine can be directly obtained according to the output result of the deep learning model.
And S311, calling the color depth of the clothes to be washed before the last washing.
The method includes the steps of taking an image of the laundry after photographing the laundry every time the laundry is washed using the washing machine, and acquiring and storing a color depth of the laundry from the image of the laundry. And under the condition that the clothes to be washed belong to the clothes washed by the washing machine, the cloud server calls the stored color depth of the clothes to be washed before the last washing.
And S312, acquiring and storing the current color depth of the clothes to be washed according to the images of the clothes to be washed.
And step S313, determining the depth difference between the current color depth of the clothes to be washed and the color depth before the last washing.
And calculating the depth difference of the current color depth of the clothes to be washed and the color depth before the last washing according to the current color depth of the clothes to be washed and the color depth before the last washing.
And step S314, calling the historical washing times of the clothes to be washed.
For the same piece of clothes, the washing machine counts the number of washing times for each washing. And the cloud server calls the stored historical washing times of the clothes to be washed.
Step S315, determining the washing parameters of the clothes according to the depth difference and the historical washing times.
And the cloud server determines the clothes washing parameters according to the depth difference between the current color depth of the clothes to be washed and the color depth before the clothes are washed last time and the historical washing times of the clothes to be washed. For example, the depth difference is 0, the historical washing frequency is 1, the basic washing time length is set, the washing time length is further reduced by 1min if the depth difference is more than 2 bits, the washing time length is further reduced by 1min if the historical washing frequency is increased by 5 times, and the washing time length is further reduced by 2min if the depth difference is more than 2 bits and the historical washing frequency is increased by 5 times. It should be noted that this is only an exemplary description, and in practical applications, the specific value may be adjusted, or the washing temperature may be decreased by a preset temperature when the depth difference is greater than the preset value, and/or the washing temperature may be decreased by the preset temperature every time the washing number is increased by the preset number. Through the arrangement, the fading condition of the clothes is improved in the washing process, and the washing effect of the clothes is optimized.
Step S321, obtaining material information of the clothes to be washed.
And analyzing the material information of the clothes to be washed through the image of the clothes to be washed.
Step S322, determining clothes washing parameters according to the material information of the clothes to be washed.
The recommended washing time and the recommended washing temperature of the clothes of different material types are stored in the memory, the cloud server determines the washing time and the washing temperature of the clothes according to the material information of the clothes to be washed, and sends the determined washing time and the determined washing temperature to the controller of the washing machine.
After step S315 and step S322, step S410 is performed.
And step S410, operating the washing machine according to the determined clothes washing parameters.
The controller of the washing machine controls the washing machine to operate according to the determined washing time period and washing temperature.
The method comprises the steps of collecting images of clothes to be washed, judging whether the clothes to be washed belong to the clothes washed by the washing machine or not according to the images of the clothes to be washed, determining clothes washing parameters according to historical data of the clothes to be washed under the condition that the clothes to be washed belong to the clothes washed by the washing machine, determining the clothes washing parameters according to material information of the clothes to be washed under the condition that the clothes to be washed do not belong to the clothes washed by the washing machine, and setting the clothes washing parameters according to specific information of the clothes to be washed by a user is not needed, so that more convenience is provided for the user. The clothes washing parameters are determined in different modes by judging whether the clothes to be washed belong to the clothes washed by the washing machine, so that the accuracy of the clothes washing parameters is improved, and the clothes washing effect is ensured. Under the condition that the clothes to be washed belong to clothes washed by the washing machine, the clothes washing parameters are determined according to the depth difference between the color depth of the clothes to be washed and the color depth before last washing and the historical washing times of the clothes to be washed, so that the fading condition of the clothes in the washing process can be further improved, and the washing effect is further optimized. The deep learning model is used for identifying the picture of the clothes to be washed, so that whether the clothes to be washed belong to the clothes washed by the washing machine can be identified more accurately, and after the clothes are washed by the washing machine for the first time, the deep learning model can automatically learn and store corresponding clothes information according to the image information of the clothes, so that the clothes can be identified automatically in the subsequent washing process, and a user does not need to input the information of the unwashed clothes to be washed into the washing machine to identify the clothes. The image of the clothes to be washed is extracted from the picture shot by the camera module through the cloud server, whether the clothes to be washed belong to the clothes washed by the washing machine or not is judged, and clothes washing parameters are determined, so that the size of the washing machine equipment can be reduced, the operation speed is increased, data transfer is facilitated in the updating and updating process of the washing machine, and the use experience of a user is optimized.
It should be noted that step S311 and step S312 may be executed simultaneously, or may be executed according to different sequences, as long as they are executed before step S313. In addition, in the case that the laundry belongs to the laundry washed by the washing machine, the step S314 may be performed at any step between the steps S230 and S315, that is, in the case that the laundry belongs to the laundry washed by the washing machine, the step S311, the step S312, and the step S313 may be performed simultaneously with any one of the steps S311, S312, and S313, or may be performed before or after any one of the steps S311, S312, and S313.
Referring to fig. 3, a second embodiment of the present invention will be described in conjunction with a washing machine. Fig. 3 is a flowchart of a control method of a washing machine according to a second embodiment of the present invention.
In a second embodiment of the present invention, the washing machine is a drum washing machine, a camera module serving as an image capturing device is disposed at a laundry loading opening on a front side plate of the drum washing machine, the camera module is connected to a controller of the washing machine, and the controller is connected to the cloud server. As shown in fig. 3, the control method of the washing machine includes:
step S110, obtaining the image of the clothes to be washed.
And step S210, inputting the image of the clothes to be washed into the trained deep learning model.
And S220, acquiring an output result of the deep learning model.
Step S230, determining whether the laundry belongs to the laundry washed by the washing machine, if yes, performing step S311, otherwise, performing step S321.
Step S311, the color depth of the clothes to be washed before the last washing is called.
And S312, acquiring and storing the current color depth of the clothes to be washed according to the images of the clothes to be washed.
And step S313, determining the depth difference between the current color depth of the clothes to be washed and the color depth before the last washing.
And step S314, calling the historical washing times of the clothes to be washed.
And step S315, acquiring and storing the damage degree and the wrinkle degree of the clothes to be washed according to the images of the clothes to be washed.
For example, the cloud server extracts the number of damaged areas, the area of the damaged areas, the number of wrinkles and material information of the laundry to be washed from the image of the laundry to be washed by using a target detection algorithm (RetinaNet, SSD, YOLOv3, faster R-CNN, etc.). Determining the damage degree according to the number of damaged areas, the area of the damaged areas and material information of the clothes to be washed, wherein if the damage degree = the area of the damaged areas x the number of the damaged areas x the damage coefficient, different materials have different damage coefficients (for example, the damage coefficient of pure cotton is 0.9, the damage coefficient of 80% cotton +20% polyester is 0.7, the damage coefficient of polyester is 0.2, the damage coefficient of real silk is 0.5, and the like). Determining the wrinkle degree according to the wrinkle number and material information of the clothes to be washed, wherein, if the wrinkle degree = the wrinkle number multiplied by the wrinkle coefficient, different materials correspond to different wrinkle coefficients (the wrinkle coefficient of pure cotton is 0.2, the damage coefficient of 80% cotton +20% terylene is 0.4, the damage coefficient of terylene is 0.9, the damage coefficient of real silk is 0.95, etc.).
And step S316, determining clothes washing parameters according to the depth difference, the historical washing times, the breakage degree and the wrinkle degree.
The cloud server determines the clothes washing parameters according to the depth difference between the current color depth of the clothes to be washed and the color depth before the clothes to be washed are washed last time, the historical washing times of the clothes to be washed, the damage degree of the clothes to be washed and the wrinkle degree of the clothes to be washed. For example, the basic washing time is set with the depth difference of 0 and the historical washing frequency of 1, the washing time is further reduced by 1min if the depth difference is greater than 2bit, the washing time is further reduced by 1min if the historical washing frequency is increased by 5 times, the washing time is further reduced by 0.5min if the damage degree is increased by a preset value, and the forward and reverse rotation frequency of the drum is reduced by 2 times/min if the crease degree is increased by a preset value.
It should be noted that this is only an exemplary description, and in practical applications, the specific value may be adjusted, or the washing temperature may be decreased by a preset temperature when the depth difference is greater than the preset value, the washing temperature may be decreased by the preset temperature when the washing number increases by the preset number, and/or the washing temperature may be decreased by the preset temperature when the wrinkle degree increases by the preset value. By such an arrangement, damage to the laundry during the washing stage can be further reduced.
Step S321, obtaining material information of the clothes to be washed.
Step S322, determining clothes washing parameters according to the material information of the clothes to be washed.
After step S316 and step S322, step S410 is performed.
And step S410, operating the washing machine according to the determined clothes washing parameters.
It should be noted that, in the case that the laundry to be washed belongs to the laundry washed by the washing machine, the step S315 may be executed at any step between the steps S230 and S316.
In another possible embodiment, the cloud server may not be provided, and the controller of the washing machine may extract an image of the laundry to be washed from the picture taken by the photo module, determine whether the laundry belongs to the laundry washed by the washing machine, and determine the laundry washing parameters.
It should be noted that, in the above embodiments, the control of the camera module to take a picture of the laundry in the washing machine to obtain a picture of the laundry is only a specific implementation manner, and it may be adjusted in specific applications, for example, in the process that the laundry is about to be put into the washing machine, the camera module takes a snapshot of the laundry in the hand of the user ready to be put into the washing machine, or the camera may be used to obtain a video of the process that the laundry is put into the washing machine or a video of the process that the laundry is turned over in the washing machine, so as to obtain multiple pictures from the videos, and further obtain the images of the laundry from the pictures. In addition, although the above embodiments are described by taking a drum washing machine as an example, the control method of the present invention is also applicable to clothes treatment apparatuses such as a pulsator washing machine, a clothes dryer, a washing and drying machine, a shoe washing machine, etc., and adaptively adjusts the historical data of the clothes to be treated and the clothes treatment parameters, such as for the clothes dryer, the historical data of the clothes to be treated includes the historical drying times, and the clothes treatment data includes the drying time length, the drying temperature, etc.
In another aspect, the present invention also provides a laundry treating apparatus comprising: the control method of the laundry treatment apparatus includes a memory, a processor, and a computer program stored in the memory and configured to be executed by the processor to implement the control method of the laundry treatment apparatus of any one of the above embodiments.
It should be noted that the memory in the above embodiments includes, but is not limited to, a random access memory, a flash memory, a read only memory, a programmable read only memory, a volatile memory, a non-volatile memory, a serial memory, a parallel memory, or a register, and the like, and the processor includes, but is not limited to, a CPLD/FPGA, a DSP, an ARM processor, a MIPS processor, and the like. In addition, the laundry treating apparatus may be a drum washing machine, a pulsator washing machine, a clothes dryer, a washing and drying all-in-one machine, a shoe washing machine, or the like.
As can be seen from the above description, in an aspect of the present invention, a laundry treating apparatus is provided with an image capturing device, and a control method includes: acquiring an image of clothes to be treated; judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the image of the clothes to be treated; selectively determining clothes treatment parameters according to the judgment result and the historical data of the clothes to be treated; operating the laundry treating apparatus according to the determined laundry treating parameter. Through the arrangement, the setting of the clothes treatment parameters by the user according to the specific information of the clothes to be treated is not needed, and more convenience is provided for the user. The clothes treatment parameters are selectively determined according to the historical data of the clothes to be treated according to whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment, so that the accuracy of the clothes treatment parameters is improved, and the clothes treatment effect is ensured. Whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not is judged through the acquired clothes treatment image, and an identifier does not need to be added to the clothes to be treated, so that the judgment mode is simpler and more convenient.
Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims of the present invention, any of the claimed embodiments may be used in any combination.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A control method of a laundry treating apparatus, characterized in that the laundry treating apparatus is provided with an image pickup device, the control method comprising:
acquiring an image of clothes to be treated;
judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the image of the clothes to be treated;
selectively determining clothes treatment parameters according to the historical data of the clothes to be treated according to the judgment result;
operating the laundry treating apparatus according to the determined laundry treating parameter.
2. The control method according to claim 1, wherein the step of determining laundry treatment parameters selectively according to the history data of the laundry to be treated according to the judgment result comprises:
if the clothes to be processed belong to the clothes processed by the clothes processing equipment, determining clothes processing parameters according to the historical data of the clothes to be processed.
3. The control method according to claim 2, wherein the step of determining laundry treatment parameters selectively according to the history data of the laundry to be treated according to the judgment result comprises:
if the clothes to be treated do not belong to the clothes treated by the clothes treatment equipment, acquiring material information of the clothes to be treated according to the image of the clothes to be treated;
and determining clothes treatment parameters according to the material information of the clothes to be treated.
4. The control method according to claim 2, wherein the history data includes a color depth of the laundry before last treatment, and the step of determining the laundry treatment parameter according to the history data of the laundry to be treated includes:
calling the color depth of the clothes to be treated before last treatment;
acquiring and storing the current color depth of the clothes to be processed according to the image of the clothes to be processed;
determining the depth difference between the current color depth of the clothes to be treated and the color depth before the last treatment;
determining a laundry treatment parameter from the depth difference.
5. The control method according to claim 4, wherein the historical data further includes a historical treatment number of the laundry to be treated, and the step of determining the laundry treatment parameter according to the depth difference includes:
calling historical treatment times of the clothes to be treated;
and determining clothes treatment parameters according to the depth difference and the historical treatment times.
6. The control method according to claim 2, wherein the step of determining the laundry treatment parameter based on the history data comprises:
acquiring and storing current data of the clothes to be processed according to the images of the clothes to be processed;
determining laundry treatment parameters based on the historical data and the current data.
7. The control method according to claim 6, wherein the current data includes a breakage degree of the laundry to be treated and a wrinkle degree of the laundry to be treated.
8. The control method according to claim 7, wherein the degree of breakage of the laundry to be treated is determined by: determining according to the number of damaged areas, the area of the damaged areas and the material information of the clothes to be treated; and/or
The wrinkle degree of the clothes to be treated is determined by the following steps: and determining according to the number of wrinkles and the material information of the clothes to be treated.
9. The control method according to any one of claims 1 to 8, wherein the step of determining whether the laundry to be treated belongs to laundry treated by the laundry treatment apparatus based on the image of the laundry to be treated comprises:
inputting the image of the clothes to be processed into the trained deep learning model;
and judging whether the clothes to be treated belong to the clothes treated by the clothes treatment equipment or not according to the output result of the deep learning model.
10. A laundry treating apparatus, comprising:
a memory;
a processor; and
a computer program stored in the memory and configured to be executed by the processor to implement the control method of the laundry treatment apparatus of any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110649822.2A CN115467131A (en) | 2021-06-10 | 2021-06-10 | Laundry treating apparatus and control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110649822.2A CN115467131A (en) | 2021-06-10 | 2021-06-10 | Laundry treating apparatus and control method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115467131A true CN115467131A (en) | 2022-12-13 |
Family
ID=84364038
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110649822.2A Pending CN115467131A (en) | 2021-06-10 | 2021-06-10 | Laundry treating apparatus and control method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115467131A (en) |
-
2021
- 2021-06-10 CN CN202110649822.2A patent/CN115467131A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107904860B (en) | Method and device for treating clothes in washing machine | |
| CN107904856B (en) | Washing machine starting method and device | |
| CN109112774B (en) | Control method and device of washing machine, storage medium and washing machine | |
| CN108411565A (en) | Washing machine control method and device | |
| CN110735283B (en) | Washing machine and laundry control method thereof | |
| CN110735281A (en) | Washing machine and clothes washing control method thereof | |
| CN113463327B (en) | Clothing display method and device, electronic equipment and computer readable storage medium | |
| CN110894658B (en) | Washing control method and device and clothes treatment device | |
| CN115467131A (en) | Laundry treating apparatus and control method thereof | |
| US20230272569A1 (en) | Clothing management apparatus and method for controlling thereof | |
| CN114411401B (en) | Clothes sorting method, clothes processing method, device, system and storage medium | |
| CN112115839A (en) | Clothes cleaning method and device, storage medium and electronic device | |
| CN112481975A (en) | Clothes care method and device and clothes care equipment | |
| CN111455610A (en) | Washing parameter selection control method, washing machine and storage medium | |
| CN112877990B (en) | Washing machine control method and device, storage medium and washing machine | |
| CN113622144B (en) | Laundry control method, laundry control system, washing machine and computer readable storage medium | |
| CN113718471A (en) | Washing control method, device, storage medium and electronic equipment | |
| CN113622145A (en) | Laundry control method, laundry control system, washing machine and computer readable storage medium | |
| CN111206367A (en) | Program control method of clothes processing equipment | |
| CN108464297A (en) | A kind of fabric method for removing acarid and except mite instrument | |
| CN113914062B (en) | Clothes drying method and device, washing machine and storage medium | |
| CN113089253B (en) | Washing machine-based automatic mite killing control method, server, system and storage medium | |
| CN113373651B (en) | Method, device and equipment for identifying clothes color-mixing and storage medium | |
| CN115323713A (en) | Washing machine and control method thereof | |
| CN115012188B (en) | Clothes treatment equipment, drying control method and device thereof and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |