CN117385587A - Control method, device, equipment and storage medium - Google Patents
Control method, device, equipment and storage medium Download PDFInfo
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- CN117385587A CN117385587A CN202311447224.2A CN202311447224A CN117385587A CN 117385587 A CN117385587 A CN 117385587A CN 202311447224 A CN202311447224 A CN 202311447224A CN 117385587 A CN117385587 A CN 117385587A
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- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000005406 washing Methods 0.000 claims abstract description 93
- 238000003062 neural network model Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004043 dyeing Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 9
- 239000000463 material Substances 0.000 description 9
- 238000007621 cluster analysis Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 229920000742 Cotton Polymers 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 229920000728 polyester Polymers 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 210000002268 wool Anatomy 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000005202 decontamination Methods 0.000 description 1
- 230000003588 decontaminative effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010186 staining Methods 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
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/36—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
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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
-
- 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
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
-
- 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
-
- 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
Abstract
The control method, the device, the equipment and the storage medium are used for acquiring image information of clothes put into the washing machine; determining an attribute of the laundry based on the image information; determining a type of the laundry based on the attribute of the laundry; controlling the washing machine to operate based on the type of laundry can reduce dyeing and/or damage of laundry.
Description
Technical Field
The present disclosure relates to the field of washing machines, and in particular, to a control method, apparatus, device, and storage medium.
Background
Many young people today do not actively categorize clothes while washing them, such as in certain modes of the washing machine: in the modes of high temperature, powerful decontamination and the like, if clothes with larger chromatic aberration or clothes with weaker materials are present, the conditions that the colors of the clothes are dyed or the materials are damaged are easily caused.
Disclosure of Invention
In view of the foregoing, the present application provides a control method, apparatus, device, and storage medium capable of reducing staining and/or damage of laundry.
The embodiment of the application provides a control method, which comprises the following steps:
acquiring image information of laundry put into the washing machine;
determining an attribute of the laundry based on the image information;
determining a type of the laundry based on the attribute of the laundry;
the washing machine is controlled to operate based on the type of laundry.
In some embodiments, the attributes of the garment include: color, texture, and whether it belongs to an undergarment, said determining attributes of said garment based on said image information comprising:
inputting the image information into a pre-established neural network model to determine the attribute of the clothes.
In some embodiments, the determining the type of the laundry based on the attribute of the laundry includes:
acquiring sample attributes corresponding to types of pre-established clothes;
calculating the distance between the attribute of the clothes and each sample attribute;
a type of the laundry is determined based on the distance.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
determining a washing mode corresponding to the type based on the type;
and controlling the washing machine to wash the clothes based on the washing mode.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting first prompt information for prompting a user to take out the clothes of the first target type under the condition that the number of the clothes is multiple and the types of the clothes comprise at least two types, wherein the number of the clothes of the first target type is smaller than that of the clothes corresponding to the second target type;
and after the user takes out the clothes of the first target type, controlling the washing machine to run based on the washing mode corresponding to the second target type.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting second prompt information under the condition that the number of the clothes is multiple and the types of the multiple clothes comprise at least two types, wherein the second prompt information comprises: a laundry mode corresponding to each type;
and controlling the washing machine to wash based on the washing mode selected by the user under the condition that the washing mode selected by the user is acquired.
An embodiment of the present application provides a control device, including:
an acquisition module for acquiring image information of laundry put into the washing machine;
a determining module for determining an attribute of the laundry based on the image information;
a classification module for determining a type of the laundry based on the attribute of the laundry;
and a control module for controlling the operation of the washing machine based on the type of the laundry.
An embodiment of the present application provides an electronic device, including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, performs a control method according to any one of the foregoing embodiments.
An embodiment of the present application provides a washing machine, including: the electronic device is described above.
Embodiments of the present application provide a computer-readable storage medium storing a computer program executable by one or more processors for implementing the control method described above.
The control method, the device, the equipment and the storage medium are used for acquiring image information of clothes put into the washing machine; determining an attribute of the laundry based on the image information; determining a type of the laundry based on the attribute of the laundry; controlling the washing machine to operate based on the type of laundry can reduce dyeing and/or damage of laundry.
Drawings
The present application will be described in more detail hereinafter based on embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic implementation flow chart of a control method according to an embodiment of the present application;
fig. 2 is a schematic implementation flow chart of another control method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application.
In the drawings, like elements are denoted by like reference numerals, and the drawings are not drawn to scale.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
If a similar description of "first\second\third" appears in the application document, the following description is added, in which the terms "first\second\third" are merely distinguishing between similar objects and do not represent a particular ordering of the objects, it being understood that the "first\second\third" may be interchanged in a particular order or precedence, where allowed, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.
Based on the problems existing in the related art, the embodiment of the application provides a control method, wherein an execution main body of the method can be electronic equipment, the electronic equipment can be a mobile terminal, a computer, intelligent household equipment, intelligent wearing equipment and a washing machine, and the electronic equipment can also be a controller of the mobile terminal, the computer, the intelligent household equipment, the intelligent wearing equipment and the washing machine.
The functions implemented by the control method provided by the embodiment of the application may be implemented by calling a program code by a processor of the electronic device, where the program code may be stored in a computer storage medium.
An embodiment of the present application provides a control method, and fig. 1 is a schematic implementation flow diagram of the control method provided in the embodiment of the present application, where, as shown in fig. 1, the control method includes:
step S101, acquiring image information of laundry put into the washing machine.
In the embodiment of the present application, the image information may be a picture or a video.
In the embodiment of the application, the electronic device may be in communication connection with an input device, and the image information of the clothes put into the washing machine is acquired through the input device, where the input device may be an electronic device, a storage device, or the like.
In some embodiments, the electronic device may be communicatively coupled to a collection module through which image information of clothing in the washing machine is acquired. The communication connection mode comprises the following steps: wired connection and wireless connection. The acquisition module may be comprising: a camera is provided. The acquisition module may further include: a mobile terminal or the like has a camera.
In the embodiment of the application, in order to improve the recognition accuracy, the user can be prompted to put in clothes one by one, so that the acquired image information is more accurate.
And step S102, determining the attribute of the clothes based on the image information.
In the embodiment of the present application, the attribute may include: color, material and whether it belongs to underwear.
In the embodiment of the application, the electronic device can input the image information into the neural network model, so that the attribute of the clothes is determined.
In an embodiment of the present application, the neural network model may include a convolutional neural network model.
In an embodiment of the present application, a sample data set may be obtained, where the sample data set includes: sample image information and an attribute tag, the attribute tag comprising: color, material and whether it belongs to underwear. The neural network model can be trained by taking sample image information in the sample data set as input and attribute labels as output of the neural network model, so that the trained neural network model is obtained.
In this embodiment, the color may be represented by a value, and the value may be 0-1, and the smaller the value, the lighter the color. The value may be represented by an average of three components of the RGB color of the laundry.
In this embodiment, the materials may include: cotton, polyester, wool, and the like.
In this embodiment, whether the underwear is provided includes: yes or no.
For example, table 1 schematically illustrates a correspondence relationship between image information and attribute information provided in the embodiment of the present application, as shown in table 1:
step S103, determining the type of the laundry based on the attribute of the laundry.
In the embodiment of the present application, the types of the clothes may be classified, for example, type 1, type 2, and the like.
In the embodiment of the present application, step S103 may be implemented by the following steps:
step S1031, obtaining a sample attribute corresponding to the type of the pre-established laundry.
In this embodiment of the present application, sample attributes corresponding to different types of laundry may be pre-established, and, for example, table 2 is a schematic table of sample attributes corresponding to types of laundry provided in this embodiment of the present application, as shown in table 2:
step S1032, calculating the distance between the attribute of the clothes and each sample attribute.
In the embodiment of the application, cluster analysis can be performed, and distances between each piece of clothes and the types can be calculated in sequence. The euclidean distance between the attribute and each sample attribute may be calculated.
In connection with the above example of the present invention,
step S1033. A type of the laundry is determined based on the distance.
In the embodiment of the present application, the smaller the calculated distance value is, the higher the similarity between the clothes and the prototype is, which can be regarded as a class, and in the above example, the distance between the clothes 1 and the prototype 1 is 0; distance from prototype 2 was 1.5. The laundry 1 can be classified into one class with the prototype 1. And completing one-time clustering analysis, and repeating the operation until all the clothes placed by the user are classified.
Step S104, controlling the operation of the washing machine based on the type of the laundry.
In the embodiment of the present application, step S104 may be implemented by the following steps:
step S1041, determining a laundry mode corresponding to the type based on the type.
In the embodiment of the application, different types can be pre-established to correspond to different washing modes, and under the condition that the clothes are identified to belong to the same type, the determined type can be matched with the pre-established different types to correspond to the different washing modes, so that the washing modes can be determined.
Step S1042, controlling the washing machine to wash the laundry based on the washing mode.
In the embodiment of the application, the electronic device may send the washing mode to the washing machine, and then the washing machine may be controlled to operate based on the washing mode, so as to wash clothes.
In the embodiment of the application, as different clothes have different washing modes, the modes can be matched with the types, so that dyeing and/or damage of the clothes can be reduced.
In some embodiments, step S104 may also be implemented by:
in step S1043, in a case that the number of the laundry is plural and the types of the plural laundry include at least two types, a first prompt message is output, where the first prompt message is used to prompt the user to take out the laundry of the first target type, where the number of the laundry of the first target type is less than the number of the laundry corresponding to the second target type.
Step S1044, after the user takes out the laundry of the first target type, controlling the washing machine to operate based on the washing mode corresponding to the second target type.
In the embodiment of the application, whether the user takes out the clothes or not can be detected through the detection of the sensor, and if the user is detected to have the action of opening the door to take out the clothes, the user is determined to take out the clothes of the first target type.
In some embodiments, the user may send a message to the electronic device after removing the clothing item, thereby causing the electronic device to determine that the user removed the clothing item of the first target type.
According to the method provided by the embodiment of the application, the clothes can be taken out through outputting the prompt information, and the damage or dyeing problem to the clothes is avoided.
In some embodiments, step S104 may also be implemented by:
step S1045, in a case that the number of the clothes is plural, and the types of the plural clothes include at least two types, outputting a second prompt message, where the second prompt message includes: each type corresponds to a laundry mode.
Step S1046, when the washing mode selected by the user is obtained, controlling the washing machine to wash based on the washing mode selected by the user.
Based on the foregoing embodiments, the embodiments of the present application further provide a control method, which is applied to a control module, where the control module includes: the system comprises an image acquisition module, an identification module and a cluster analysis module. Fig. 2 is a schematic implementation flow chart of a control method provided in an embodiment of the present application, as shown in fig. 2, where the method includes:
step S201, the user starts the image recognition module when putting the clothes in.
In step S202, the image recognition module detects the laundry and recognizes according to the set parameters.
In step S203, the cluster analysis module classifies the laundry by a cluster algorithm.
Step S204, corresponding labels are marked on the clothes in the same category.
Step S205, corresponding instructions are issued to the washing machine according to the labels.
The image acquisition module can be integrated in a lamp inside the washing machine or in other positions; the information of the clothes can be completely collected when the user places the clothes, and when the user places the clothes (the user is required to place the clothes piece by piece, the accuracy of identification can be affected by placing the clothes one by one), the image information of each piece of clothes is sequentially collected and sent to the image identification module. After the user is placed, the recognition module recognizes each piece of clothes, and the recognition process uses some deep learning clothes recognition technologies which are mature currently to recognize. And transmitting the three factors of the color, the material and the underwear of the identified clothes to a cluster analysis module. The color is represented by a decimal number of 0-1, with closer to 1 representing darker laundry color (the value is represented by the average of three components of the RGB color of the laundry). The cluster analysis module firstly selects a plurality of set prototypes (one prototype can correspond to a certain washing mode) and carries out cluster analysis on the clothes information transmitted by the identification module. Then, cluster analysis is performed, and distances from the two prototypes are calculated for each piece of clothes in turn. The smaller the calculated distance value is, the higher the similarity between the clothes and the prototype is, which can be regarded as a class, each classified clothes belongs to a prototype class, and for each prototype class, a set washing mode can be used, or a mode suitable for the user is recommended to the user to select.
Based on the foregoing embodiments, embodiments of the present application further provide a control device, where the control device includes a plurality of modules. The association between the plurality of modules may be implemented by a processor in the computer device; of course, the association between the modules may also be implemented by specific logic circuits; in practice, the processor may be a central processing unit (CPU, central Processing Unit), a microprocessor (MPU, microprocessor Unit), a digital signal processor (DSP, digital Signal Processing), or a field programmable gate array (FPGA, field Programmable Gate Array), or the like.
An embodiment of the present application provides a control device, including:
an acquisition module for acquiring image information of laundry put into the washing machine;
a determining module for determining an attribute of the laundry based on the image information;
a classification module for determining a type of the laundry based on the attribute of the laundry;
and a control module for controlling the operation of the washing machine based on the type of the laundry.
In the embodiment of the present application, the image information may be a picture or a video.
In the embodiment of the application, the electronic device may be in communication connection with an input device, and the image information of the clothes put into the washing machine is acquired through the input device, where the input device may be an electronic device, a storage device, or the like.
In some embodiments, the electronic device may be communicatively coupled to a collection module through which image information of clothing in the washing machine is acquired. The communication connection mode comprises the following steps: wired connection and wireless connection. The acquisition module may be comprising: a camera is provided. The acquisition module may further include: a mobile terminal or the like has a camera.
In the embodiment of the application, in order to improve the recognition accuracy, the user can be prompted to put in clothes one by one, so that the acquired image information is more accurate.
In the embodiment of the present application, the attribute may include: color, material and whether it belongs to underwear.
In the embodiment of the application, the electronic device can input the image information into the neural network model, so that the attribute of the clothes is determined.
In an embodiment of the present application, the neural network model may include a convolutional neural network model.
In an embodiment of the present application, a sample data set may be obtained, where the sample data set includes: sample image information and an attribute tag, the attribute tag comprising: color, material and whether it belongs to underwear. The neural network model can be trained by taking sample image information in the sample data set as input and attribute labels as output of the neural network model, so that the trained neural network model is obtained.
In this embodiment, the color may be represented by a value, and the value may be 0-1, and the smaller the value, the lighter the color. The value may be represented by an average of three components of the RGB color of the laundry.
In this embodiment, the materials may include: cotton, polyester, wool, and the like.
In this embodiment, whether the underwear is provided includes: yes or no.
For example, table 1 schematically illustrates a correspondence relationship between image information and attribute information provided in the embodiment of the present application, as shown in table 1:
in the embodiment of the present application, the types of the clothes may be classified, for example, type 1, type 2, and the like.
In the embodiment of the application, the sample attribute corresponding to the type of the pre-established clothes can be obtained. And calculating the distance between the attribute of the clothes and each sample attribute. A type of the laundry is determined based on the distance.
In this embodiment of the present application, sample attributes corresponding to different types of laundry may be pre-established, and, for example, table 2 is a schematic table of sample attributes corresponding to types of laundry provided in this embodiment of the present application, as shown in table 2:
in the embodiment of the application, cluster analysis can be performed, and distances between each piece of clothes and the types can be calculated in sequence. The euclidean distance between the attribute and each sample attribute may be calculated.
In connection with the above example of the present invention,
in the embodiment of the present application, the smaller the calculated distance value is, the higher the similarity between the clothes and the prototype is, which can be regarded as a class, and in the above example, the distance between the clothes 1 and the prototype 1 is 0; distance from prototype 2 was 1.5. The laundry 1 can be classified into one class with the prototype 1. And completing one-time clustering analysis, and repeating the operation until all the clothes placed by the user are classified.
In some embodiments, the attributes of the garment include: color, texture, and whether it belongs to an undergarment, said determining attributes of said garment based on said image information comprising:
inputting the image information into a pre-established neural network model to determine the attribute of the clothes.
In some embodiments, the determining the type of the laundry based on the attribute of the laundry includes:
acquiring sample attributes corresponding to types of pre-established clothes;
calculating the distance between the attribute of the clothes and each sample attribute;
a type of the laundry is determined based on the distance.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
determining a washing mode corresponding to the type based on the type;
and controlling the washing machine to wash the clothes based on the washing mode.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting first prompt information for prompting a user to take out the clothes of the first target type under the condition that the number of the clothes is multiple and the types of the clothes comprise at least two types, wherein the number of the clothes of the first target type is smaller than that of the clothes corresponding to the second target type;
and after the user takes out the clothes of the first target type, controlling the washing machine to run based on the washing mode corresponding to the second target type.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting second prompt information under the condition that the number of the clothes is multiple and the types of the multiple clothes comprise at least two types, wherein the second prompt information comprises: a laundry mode corresponding to each type;
and controlling the washing machine to wash based on the washing mode selected by the user under the condition that the washing mode selected by the user is acquired.
In the embodiment of the present application, if the control method is implemented in the form of a software functional module and sold or used as a separate product, the control method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partly contributing to the prior art, and the computer software product may be stored in a storage medium, and include several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present application. The storage medium includes various media capable of storing program codes, such as a usb (universal serial bus), a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Accordingly, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the control method provided in the above embodiments.
The embodiment of the application provides electronic equipment. Fig. 3 is a schematic diagram of the composition structure of an electronic device according to an embodiment of the present application, and as shown in fig. 3, an electronic device 500 includes a processor 501, at least one communication bus 502, a user interface 503, at least one external communication interface 504, and a memory 505. Wherein the communication bus 502 is configured to enable connected communication between these components. The user interface 503 may include a display screen, and the external communication interface 504 may include a standard wired interface and a wireless interface, among others. The processor 501 is configured to execute a program of a control method stored in a memory to realize steps in the control method provided in the above-described embodiment. The control method comprises the following steps:
acquiring image information of laundry put into the washing machine;
determining an attribute of the laundry based on the image information;
determining a type of the laundry based on the attribute of the laundry;
the washing machine is controlled to operate based on the type of laundry.
In some embodiments, the attributes of the garment include: color, texture, and whether it belongs to an undergarment, said determining attributes of said garment based on said image information comprising:
inputting the image information into a pre-established neural network model to determine the attribute of the clothes.
In some embodiments, the determining the type of the laundry based on the attribute of the laundry includes:
acquiring sample attributes corresponding to types of pre-established clothes;
calculating the distance between the attribute of the clothes and each sample attribute;
a type of the laundry is determined based on the distance.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
determining a washing mode corresponding to the type based on the type;
and controlling the washing machine to wash the clothes based on the washing mode.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting first prompt information for prompting a user to take out the clothes of the first target type under the condition that the number of the clothes is multiple and the types of the clothes comprise at least two types, wherein the number of the clothes of the first target type is smaller than that of the clothes corresponding to the second target type;
and after the user takes out the clothes of the first target type, controlling the washing machine to run based on the washing mode corresponding to the second target type.
In some embodiments, the controlling the washing machine to operate based on the type of laundry includes:
outputting second prompt information under the condition that the number of the clothes is multiple and the types of the multiple clothes comprise at least two types, wherein the second prompt information comprises: a laundry mode corresponding to each type;
and controlling the washing machine to wash based on the washing mode selected by the user under the condition that the washing mode selected by the user is acquired.
An embodiment of the present application provides a washing machine, including: the electronic device in the above embodiment.
It should be noted here that the description of the storage medium and the device embodiments above is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present application, please refer to the description of the method embodiments of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application. The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions of actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the various components controlled or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components for controlling the units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
It will be appreciated by those of ordinary skill in the art that implementing all or part of the steps of the above-described method embodiments may be accomplished by hardware associated with program instructions, and that the above-described program may be stored on a computer-readable storage medium, which when executed, performs steps that comprise the above-described method embodiments; the storage medium includes a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated units described above may be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partly contributing to the prior art, embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a controller to execute all or part of the methods described in the embodiments of the present application. The storage medium includes various media capable of storing program codes such as a removable storage device, a ROM, a magnetic disk, or an optical disk.
The foregoing is merely an embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A control method, characterized by comprising:
acquiring image information of laundry put into the washing machine;
determining an attribute of the laundry based on the image information;
determining a type of the laundry based on the attribute of the laundry;
the washing machine is controlled to operate based on the type of laundry.
2. The method of claim 1, wherein the attributes of the garment comprise: color, texture, and whether it belongs to an undergarment, said determining attributes of said garment based on said image information comprising:
inputting the image information into a pre-established neural network model to determine the attribute of the clothes.
3. The method of claim 2, wherein the determining the type of the garment based on the attribute of the garment comprises:
acquiring sample attributes corresponding to types of pre-established clothes;
calculating the distance between the attribute of the clothes and each sample attribute;
a type of the laundry is determined based on the distance.
4. The method of claim 1, wherein the controlling the operation of the washing machine based on the type of laundry comprises:
determining a washing mode corresponding to the type based on the type;
and controlling the washing machine to wash the clothes based on the washing mode.
5. The method of claim 1, wherein the controlling the operation of the washing machine based on the type of laundry comprises:
outputting first prompt information for prompting a user to take out the clothes of the first target type under the condition that the number of the clothes is multiple and the types of the clothes comprise at least two types, wherein the number of the clothes of the first target type is smaller than that of the clothes corresponding to the second target type;
and after the user takes out the clothes of the first target type, controlling the washing machine to run based on the washing mode corresponding to the second target type.
6. The method of claim 1, wherein the controlling the washing machine operation based on the type of laundry comprises:
outputting second prompt information under the condition that the number of the clothes is multiple and the types of the multiple clothes comprise at least two types, wherein the second prompt information comprises: a laundry mode corresponding to each type;
and controlling the washing machine to wash based on the washing mode selected by the user under the condition that the washing mode selected by the user is acquired.
7. A control apparatus, characterized by comprising:
an acquisition module for acquiring image information of laundry put into the washing machine;
a determining module for determining an attribute of the laundry based on the image information;
a classification module for determining a type of the laundry based on the attribute of the laundry;
and a control module for controlling the operation of the washing machine based on the type of the laundry.
8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs the control method according to any one of claims 1 to 6.
9. A washing machine, comprising: the electronic device of claim 8.
10. A storage medium storing a computer program executable by one or more processors for implementing a control method as claimed in any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311447224.2A CN117385587A (en) | 2023-11-01 | 2023-11-01 | Control method, device, equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311447224.2A CN117385587A (en) | 2023-11-01 | 2023-11-01 | Control method, device, equipment and storage medium |
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| CN117385587A true CN117385587A (en) | 2024-01-12 |
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| CN202311447224.2A Pending CN117385587A (en) | 2023-11-01 | 2023-11-01 | Control method, device, equipment and storage medium |
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| Country | Link |
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| CN (1) | CN117385587A (en) |
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- 2023-11-01 CN CN202311447224.2A patent/CN117385587A/en active Pending
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