Clothing material detection method, device, clothing processing equipment and storage medium

Abstract

The present application provides a method and device for detecting clothing materials, a clothing processing device, and a computer-readable storage medium, the method comprising: in response to a trigger operation of executing a clothing processing program, using a spectrum detection device to detect the spectrum information of the clothing to be processed in the clothing processing device, the spectrum detection device being arranged in the door body of the clothing processing device; and determining the material information of the clothing to be processed according to the spectrum information. The spectrum detection device arranged in the door body of the clothing processing device automatically detects the material information of the clothing to be processed, without the need for the user to perform manual selection operations, which can reduce the number of user operations and the complexity of user operations, and the spectrum detection device arranged in the door body can reduce the influence of foreign matter such as dirt on the clothing material detection results, thereby improving the detection accuracy.

Description

Technical Field

[0001] The present application relates to the field of automatic control technology, and relates to but is not limited to a method and device for detecting clothing materials, clothing processing equipment, and a computer-readable storage medium. Background Art

[0002] Clothes processing equipment, such as washing machines, washer-dryers, etc., have become indispensable household appliances in people's lives. In the related art, users generally select the material of the clothes when washing, and the washing machine runs the corresponding washing mode according to the material of the clothes selected by the user. This not only requires the user to perform cumbersome selection steps, but also requires the user to know the material of the clothes, which brings inconvenience to the user. When the user does not make a selection or makes an incorrect selection, washing with default parameters or incorrect parameters may cause the clothes to shrink or deform, resulting in over-washing or unclean washing, affecting the washing effect.

[0003] A contact-type clothing material detection method is provided in the related art. Before washing clothes, a spectral detection device is placed in a barrel body and in close contact with the clothes to be washed, so as to collect spectral information of the clothes to be washed, and determine the material of the clothes to be washed based on the spectral information. This detection method requires that the spectral detection device must be close to the clothes to be washed. If there is light leakage, the accuracy will be significantly reduced; and after the detection is completed, the spectral detection device must be taken out and the door must be closed before washing can begin, which prolongs the washing time; in addition, the spectral detection device needs to be immersed in water during the detection process, which affects the service life of the spectral detection device.

[0004] The related art also provides a non-contact clothing material detection method, in which a spectral detection device is set on the outside of the outer barrel of the washing machine to detect the material of the clothes to be washed in the barrel through the transparent door. Although this setting method can achieve non-contact detection and extend the service life of the spectral detection device, since the detection direction of the spectral detection device is fixed toward the bottom of the barrel, it is still necessary to determine the material of the clothes to be washed before washing can begin, and the washing time is still relatively long. In addition, during the washing process, impurities such as sewage and washing powder will accumulate on the door seal and around the outer barrel wall, causing dirt to adhere to the transparent door. When the spectral detection device detects through the transparent door with dirt, the detection accuracy and range are affected. Summary of the invention

[0005] In view of this, embodiments of the present application provide a method and device for detecting clothing material, clothing processing equipment, and a computer-readable storage medium.

[0006] The technical solution of the embodiment of the present application is implemented as follows:

[0007] The embodiment of the present application provides a method for detecting clothing material, which is applied to a clothing processing device, wherein a spectrum detection device is provided in a door body of the clothing processing device;

[0008] The method comprises:

[0009] In response to a triggering operation of executing a laundry treatment program, using the spectrum detection device to detect spectrum information of the laundry to be treated in the laundry treatment device;

[0010] The material information of the clothes to be processed is determined according to the spectral information.

[0011] The embodiment of the present application provides another method for detecting clothing material, which is applied to a clothing processing device, and the method includes:

[0012] Determining a detection direction of the spectrum detection device based on a preset barrel state of the laundry processing device during the detection process;

[0013] In response to a triggering operation of executing a laundry treatment program, detecting spectrum information of the laundry to be treated in the laundry treatment device according to the detection direction;

[0014] The material information of the clothes to be processed is determined according to the spectral information.

[0015] In some embodiments, determining the detection direction of the spectrum detection device based on the preset barrel state of the laundry processing device during the detection process includes:

[0016] Determine the state of the barrel during the detection process, wherein the state of the barrel includes a static state and a running state;

[0017] It is determined that the barrel is in a stationary state, and the detection direction of the spectrum detection device is adjusted to a first direction, where the first direction is a direction toward the bottom of the barrel.

[0018] In some embodiments, the determining the detection direction of the spectrum detection device based on the preset barrel state of the laundry processing device during the detection process further includes:

[0019] It is determined that the barrel body is in the operating state, and the detection direction of the spectrum detection device is adjusted to a second direction, where the second direction is a direction facing away from the door body of the clothing processing device.

[0020] In some embodiments, the method further comprises:

[0021] determining processing parameters of the clothing processing program based on the material information;

[0022] The laundry treatment program is performed based on the treatment parameters.

[0023] In some embodiments, the distance between the spectrum detection device and the laundry to be processed is less than a second distance threshold; the method further includes:

[0024] Controlling an image acquisition device to acquire image information of the clothes to be processed, wherein the image acquisition device is disposed in the door body;

[0025] Determining the category of the clothes to be processed according to the image information;

[0026] Accordingly, determining the processing parameters of the clothing processing program based on the material information includes:

[0027] Based on the material information and the category, a processing parameter of the laundry treatment program is determined.

[0028] In some embodiments, determining the material information of the clothing to be processed according to the spectral information includes:

[0029] Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials;

[0030] respectively determining the matching degree between the spectral information and each reference spectral information;

[0031] Determine a material corresponding to at least one reference spectrum information whose matching degree is greater than a first preset threshold as at least one target material;

[0032] The material information of the clothes to be processed is determined based on the at least one target material.

[0033] In some embodiments, the preset relationship table is stored in the storage space of the clothing processing device, or the preset relationship table is stored in a terminal connected to the clothing processing device, or the preset relationship table is stored in a server connected to the clothing processing device or the terminal.

[0034] In some embodiments, determining the material information of the clothing to be processed based on the at least one target material includes:

[0035] Determine the proportion of various target materials in the material information based on the spectral information;

[0036] The at least one target material and the proportion of the at least one target material are determined as the material information of the clothes to be processed.

[0037] In some embodiments, determining the material information of the clothing to be processed according to the spectral information includes:

[0038] Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials;

[0039] respectively determining the matching degree between the spectral information and each reference spectral information;

[0040] Determine the material corresponding to at least one reference spectrum information whose matching degree is greater than a second preset threshold as at least one candidate material;

[0041] Selecting a target material that is most sensitive to the clothing treatment program from the at least one candidate material;

[0042] The material information of the clothes to be processed is determined based on the target material.

[0043] In some embodiments, determining the material information of the clothing to be processed according to the spectral information includes:

[0044] Sending the spectrum information to a terminal or a server connected to the clothing processing device, so that the terminal or the server determines material information corresponding to the spectrum information;

[0045] The material information is received from the terminal or the server.

[0046] The present application provides a detection device for clothing material, which is applied to a clothing processing device. A spectral detection device is provided in a door body of the clothing processing device. The device includes:

[0047] A first detection module, configured to detect spectral information of the clothes to be processed in the clothes processing device by using the spectral detection device in response to a triggering operation of executing a clothes processing program;

[0048] The first determination module is used to determine the material information of the to-be-processed clothing according to the spectral information.

[0049] The embodiment of the present application provides another device for detecting clothing material, which is applied to clothing processing equipment, and the device includes:

[0050] A second determination module, configured to determine a detection direction of the spectrum detection device based on a preset barrel state of the laundry processing device during the detection process;

[0051] a second detection module, configured to detect spectral information of the clothes to be processed in the clothes processing device according to the detection direction in response to a triggering operation of executing a clothes processing program;

[0052] The third determination module is used to determine the material information of the to-be-processed clothing according to the spectral information.

[0053] The present application provides a clothes processing device, comprising:

[0054] A memory for storing executable instructions;

[0055] The processor is used to implement the steps of the above-mentioned clothing material detection method when executing the executable instructions stored in the memory.

[0056] An embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. The computer-executable instructions are configured to execute the steps of the above-mentioned clothing material detection method.

[0057] The embodiment of the present application provides a method, device, clothing processing equipment and computer-readable storage medium for detecting clothing materials. In response to a trigger operation for executing a clothing processing program, the spectrum detection device is used to detect the spectrum information of the clothing to be processed in the clothing processing equipment; and the material information of the clothing to be processed is determined according to the spectrum information. In the embodiment of the present application, the spectrum detection device is arranged in the door body, specifically in the glass cavity of the door body. Compared with being arranged on the outside of the outer barrel, this can reduce the influence of foreign matter such as dirt on the clothing material detection result, thereby improving the detection accuracy. In addition, in the embodiment of the present application, before responding to the trigger operation for executing the clothing processing program, it also includes determining the detection direction of the spectrum detection device based on the preset barrel state of the clothing processing equipment during the detection process, and by pre-adjusting the detection direction of the spectrum detection device, the spectrum detection device is detected in accordance with the predetermined detection direction during the detection process using the spectrum detection device, so as to maximize the guarantee that the spectrum detection device can correctly detect the clothing to be processed, further improve the detection accuracy, and prevent the situation where the clothing cannot be fully detected due to the deviation of the detection direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In the drawings, which are not necessarily drawn to scale, like reference numerals may describe similar components in different views.The drawings generally illustrate, by way of example and not limitation, various embodiments discussed herein.

[0059] Figure 1 A schematic diagram of an implementation flow of a method for detecting clothing material provided in an embodiment of the present application;

[0060] Figure 2 A schematic diagram of another implementation flow of the method for detecting clothing material provided in an embodiment of the present application;

[0061] Figure 3 A schematic diagram of another implementation flow of the method for detecting clothing material provided in an embodiment of the present application;

[0062] Figure 4 A front view of a washing machine provided by an embodiment of the present application;

[0063] Figure 5 A top view of a washing machine provided in an embodiment of the present application;

[0064] Figure 6 A side view of a washing machine provided by an embodiment of the present application;

[0065] Fig. 7A A schematic diagram of a functional framework of an intelligent identification method applied to a washing machine provided in an embodiment of the present application;

[0066] Figure 7B A schematic diagram of a flow chart of a method for identifying clothing material using a spectral module provided in an embodiment of the present application;

[0067] Fig. 8A Another schematic diagram of the functional framework of the intelligent identification method applied to a washing machine provided in an embodiment of the present application;

[0068] Figure 8B Another schematic diagram of a flow chart of a method for identifying clothing material using a spectral module provided in an embodiment of the present application;

[0069] Fig. 9 Another front view of the washing machine provided by the embodiment of the present application;

[0070] Fig.10 Another top view of the washing machine provided in the embodiment of the present application;

[0071] Fig.11 Another side view of the washing machine provided by the embodiment of the present application;

[0072] Fig. 12A Another schematic diagram of the functional framework of the intelligent identification method applied to a washing machine provided in an embodiment of the present application;

[0073] Fig. 12B A schematic diagram of another process of the method for identifying clothing material using a spectral module provided in an embodiment of the present application;

[0074] Fig.13 A schematic diagram of the structure of a clothing material detection device provided in an embodiment of the present application;

[0075] Fig.14 A schematic diagram of another structure of a clothing material detection device provided in an embodiment of the present application;

[0076] Fig.15 A schematic diagram of the composition structure of a clothing processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0078] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0079] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged in a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0080] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0081] Based on the problems of high requirements on user operation ability and knowledge reserve of clothing materials and low automation level in clothing processing equipment in related technologies, such as washing machines, washer-dryers, etc., the present application embodiment provides a method for detecting clothing materials applied to clothing processing equipment. The method provided in the present application embodiment can be implemented by a computer program, and when the computer program is executed, each step in the method for detecting clothing materials provided in the present application embodiment is completed. In some embodiments, the computer program can be executed by a clothing material detection device in the clothing processing equipment. Figure 1 A schematic diagram of an implementation flow of a method for detecting clothing material provided in an embodiment of the present application is applied to clothing processing equipment. Figure 1 As shown, the clothing material detection method includes the following steps:

[0082] Step S101 , in response to a triggering operation of executing a laundry processing program, a spectrum detection device is used to detect spectrum information of laundry to be processed in a laundry processing device.

[0083] The method for detecting clothing material in the embodiment of the present application is applied to clothing processing equipment, such as washing machines, integrated washing and drying machines, clothes dryers, clothing care equipment and other household appliances. In the embodiment of the present application, the clothing processing equipment is a washing machine as an example for description.

[0084] In traditional technology, after the user puts the clothes to be processed into the barrel, closes the door, and selects the corresponding clothes processing process on the clothes material detection panel of the clothes processing equipment, such as selecting washing, dehydration, drying and other functions, and setting the washing time, clothes material, drying temperature and other values. For the elderly who are not familiar with the operation of the clothes processing equipment, or users who are not clear about the clothes material, the operation is extremely inconvenient, and even wrong operation may occur, causing damage to the clothes, such as choosing strong washing when washing silk clothes, or choosing high temperature drying for wool clothes.

[0085] A contact-type clothing material detection method is provided in the related art. Before washing the clothes, a spectral detection device is placed in the barrel body to be in close contact with the clothes to be washed, and the material of the clothes is determined based on the collected spectral information. A non-contact clothing material detection method is also provided in the related art. A spectral detection device is set in a position such as the door seal, the outside of the outer barrel, or the workbench of the washing machine. During the washing process, sewage, washing powder and other impurities will accumulate around the door seal ring, the outer barrel wall, etc., so that dirt is attached to the transparent door body. When the spectral detection device detects through the transparent door body with dirt attached, the detection accuracy and range are affected. It can be seen that the clothing material detection method in the related art mainly has the following defects: the contact detection method requires the spectral detection device to be close to the clothes to be washed, the detection operation is inconvenient, and when there is light leakage, the detection accuracy will be significantly reduced; the non-contact detection method is also affected by foreign matter such as dirt.

[0086] To solve the above problem, in an embodiment of the present application, after the user closes the door and selects the clothing processing function, he or she can press the start button without selecting other parameters. The clothing processing device receives a trigger operation to start the clothing processing device to execute the clothing processing program. In response to the trigger operation, the spectral detection device is controlled to detect the spectral information of the clothing to be processed in the clothing processing device.

[0087] In the embodiment of the present application, the spectrum detection device can be arranged in the door body of the clothing processing device, such as in the glass cavity of the door body, and the light emitted by the spectrum detection device reaches the clothes to be processed in the barrel through the glass cavity, and the clothes to be processed absorb and reflect the light back to the spectrum detection device, and the spectrum detection device obtains the spectrum information of the clothes to be processed. Since the spectrum detection device is arranged in the door body, there is a certain distance between the spectrum detection device and the clothes to be processed, so as to realize non-contact detection.

[0088] In the embodiment of the present application, the spectrum detection device is a device capable of detecting a spectrum, such as a spectrum sensor, and the spectrum sensor may be a near-infrared spectrum sensor.

[0089] Step S102, determining material information of the clothes to be processed according to the spectrum information.

[0090] Here, the material information of the clothes to be processed is determined according to the spectral information, and the material of the clothes to be processed can be determined by comparing the spectral information with the reference spectral information of various materials, and the material information is determined based on the material of the clothes to be processed. The reference spectral information can be stored in the storage space of the clothes processing device, can be stored in a terminal that has a connection relationship with the clothes processing device, and can also be stored in a service end that has a connection relationship with the clothes processing device or the terminal, and the embodiments of the present application are not limited thereto.

[0091] In some embodiments, the material information may include the material and the material proportion. The proportion of each material of the clothes to be processed can be determined based on the spectral information, and the material of the clothes to be processed and the proportion of each material are determined as the material information. Specifically, it can be implemented by preprocessing the spectral information (such as noise reduction and other preprocessing), using an existing classification algorithm (such as a neural network classification algorithm, a K-nearest neighbor algorithm, etc.) to classify the spectral information, and then comparing the classified data with the data in the database to determine the proportion of each target material. After obtaining the material of the clothes to be processed and the proportion of each material, the material of the clothes to be processed and the proportion of each material are determined as the material information of the clothes to be processed.

[0092] In other embodiments, the clothing processing device may send the spectrum information to a terminal or a server, and the terminal or the server determines and sends the material information of the clothing to be processed to the clothing processing device.

[0093] For example, when the material information includes the material, such as determining that the material information of the clothes to be processed includes cotton, linen and silk according to the spectrum information. When the material information includes the material and the proportion of each material, such as determining that the material information of the clothes to be processed includes cotton, linen and silk according to the spectrum information, cotton accounts for 80%, linen accounts for 15%, and silk accounts for 5%.

[0094] The method for detecting clothing materials provided in the embodiment of the present application is applied to clothing processing equipment, in which a spectral detection device is arranged in the door body of the clothing processing equipment. In response to the trigger operation of executing the clothing processing program, the clothing processing equipment uses the spectral detection device to detect the spectral information of the clothing to be processed in the clothing processing equipment; and determines the material information of the clothing to be processed according to the spectral information. In this way, the material information of the clothing to be processed is automatically detected by the spectral detection device arranged in the door body of the clothing processing equipment, without the need for the user to perform manual selection operations, which can reduce the number of user operations and reduce the complexity of user operations. In addition, the clothing material information is detected during the execution of the clothing processing program, without the need for separate detection time, which can shorten the clothing processing time and ensure the accuracy of the determined material information of the clothing to be processed. Compared with the spectral detection device arranged on the outside of the outer barrel, the spectral detection device arranged in the door body can prevent dirt from affecting the detection results and can improve the detection accuracy.

[0095] Figure 2 Another implementation flow diagram of the method for detecting clothing material provided in the embodiment of the present application is applied to clothing processing equipment. Figure 2 As shown, the clothing material detection method includes the following steps:

[0096] Step S201, determining a detection direction of a spectrum detection device based on a preset barrel state of the clothes processing device during the detection process.

[0097] The method for detecting clothing material in the embodiment of the present application is applied to clothing processing equipment, such as washing machines, integrated washing and drying machines, clothes dryers, clothing care equipment and other household appliances. In the embodiment of the present application, the clothing processing equipment is a washing machine as an example for description.

[0098] The related art provides a contact-type clothing material detection method. Before washing clothes, a spectral detection device is placed in the barrel to be in close contact with the clothes to be washed, and the material of the clothes is determined based on the collected spectral information. The related art also provides a non-contact clothing material detection method. A spectral detection device is set in a position of the washing machine such as the door seal, the outside of the outer barrel or the workbench. The detection direction of the spectral detection device is fixed toward the bottom of the barrel to detect the material of the clothes at the bottom of the barrel. It can be seen that the detection methods in the related art mainly have the following defects: the contact detection method requires the spectral detection device to be close to the clothes to be washed, which is inconvenient to operate. When there is light leakage, the detection accuracy will be significantly reduced; the non-contact detection method will also affect the detection accuracy due to foreign matter such as dirt, and the detection direction of the spectral detection device in the related art is fixed, and the detection range is limited. During the washing process, the clothes are suspended in the air, and the limited detection range affects the detection accuracy.

[0099] To solve the above problem, in an embodiment of the present application, the clothing processing device first determines the detection direction of the spectrum detection device based on a preset barrel state of the clothing processing device during the detection process.

[0100] The barrel state here includes a stationary state and a running state. When in the stationary state, the clothes are stacked at the bottom of the barrel, and the detection direction of the spectrum detection device is determined to be toward the bottom of the barrel; when in the running state, the clothes are suspended in the barrel driven by the rotating barrel, and the detection direction of the spectrum detection device is determined to be toward the direction away from the door.

[0101] In the embodiment of the present application, the spectrum detection device is a device capable of detecting a spectrum, such as a spectrum sensor, and the spectrum sensor may be a near-infrared spectrum sensor. In the embodiment of the present application, the spectrum detection device is arranged on the clothing processing device, and there is a certain distance between the spectrum detection device and the clothing to be processed, so as to realize non-contact detection. When implemented, the spectrum detection device may be arranged in the door body of the clothing processing device, for example, in the glass cavity of the door body. The light emitted by the spectrum detection device reaches the clothing to be processed in the barrel body through the glass cavity, and the clothing to be processed absorbs and reflects the light back to the spectrum detection device, and the spectrum detection device obtains the spectrum information of the clothing to be processed. Compared with the spectrum detection device arranged on the outside of the outer barrel, the spectrum detection device arranged in the door body can avoid the influence of dirt on the detection results, and can improve the detection accuracy.

[0102] In the embodiment of the present application, the detection direction of the spectral detection device can be determined during the production or assembly stage of the clothing processing equipment. During the detection process, when the barrel body is in a stationary state, the clothing is usually gathered at the bottom of the barrel body, and the detection direction of the spectral detection device should be toward the bottom of the barrel body to align with the clothing; and when the barrel body is in a moving state, the clothing usually moves in the barrel body according to a relatively fixed trajectory, and the detection direction of the spectral detection device should point to some positions in the clothing movement trajectory in the middle of the barrel body to ensure that the clothing can pass through the detection range of the spectral detection device when it moves. In order to make the detection direction of the spectral detection device adapt to the characteristics of clothing gathering or movement in different barrel body states, in this embodiment, the detection direction of the spectral detection device can be determined during the production or assembly stage of the clothing processing equipment. For example, if the spectral detection device is pre-set for detection when the barrel body is in a stationary state, the detection direction of the spectral detection device is adjusted to a first direction during the production or assembly stage of the clothing processing equipment, and the first direction is the direction toward the bottom of the barrel body; if the spectral detection device is pre-set for detection when the barrel body is in a moving state, then the detection direction of the spectral detection device is adjusted to a second direction during the production or assembly stage of the clothing processing equipment, and the second direction is the direction facing away from the door body.

[0103] The method provided in the embodiment of the present application can enable the spectrum detection device to detect different directions according to different barrel states, so that the detection direction of the spectrum detection device is the angle that is most conducive to detecting the clothes to be processed, so that the detected spectrum information is more comprehensive and accurate, thereby improving the recognition result of the material of the clothes to be processed, and further improving the accuracy of the determined material of the clothes to be processed.

[0104] Step S202, in response to a triggering operation of executing a laundry processing program, the spectrum information of the laundry to be processed in the laundry processing device is detected according to a detection direction.

[0105] After the user closes the door and selects the clothing processing function, the start button can be pressed without selecting other parameters. The clothing processing device receives a trigger operation to start the clothing processing device to execute the clothing processing program. In response to the trigger operation, the spectrum detection device is controlled to detect the spectrum information of the clothing to be processed in the clothing processing device according to the detection direction determined in step S201.

[0106] In an embodiment of the present application, when a spectral detection device is used to detect spectral information of clothes to be processed, when the barrel of the clothing processing equipment is in a stationary state, the clothes to be processed are accumulated at the bottom of the barrel under the action of gravity. At this time, the spectral detection device needs to be facing the bottom of the barrel to scan the clothes to be processed; and when the barrel of the clothing processing equipment is in an operating state, the clothes to be processed are suspended in the barrel and shaken apart under the drive of the rotating barrel. At this time, the spectral detection device needs to be facing the center part of the barrel to scan the clothes to be processed.

[0107] In the detection method provided in the embodiment of the present application, when the clothing treatment program is triggered, the light emitted in the detection direction can accurately reach the clothing to be treated, and the clothing to be treated absorbs the light and reflects it back to the spectrum detection device, and the spectrum detection device obtains the spectrum information of the clothing to be treated. Compared with the detection method in the related art in which the detection direction of the spectrum detection device is fixed, the detection method provided in the embodiment of the present application determines the detection direction of the spectrum detection device by the state of the barrel, and detects the spectrum information of the clothing in the detection direction, which can improve the detection accuracy.

[0108] Step S203: determining material information of the clothes to be processed according to the spectrum information.

[0109] Here, the material information of the clothes to be processed is determined according to the spectral information, and the material of the clothes to be processed can be determined by comparing the spectral information with the reference spectral information of various materials, and the material information is determined based on the material of the clothes to be processed. The reference spectral information can be stored in the storage space of the clothes processing device, can be stored in a terminal that has a connection relationship with the clothes processing device, and can also be stored in a service end that has a connection relationship with the clothes processing device or the terminal, and the embodiments of the present application are not limited thereto.

[0110] In some embodiments, the material information may include material and material proportion. The proportion of each material of the clothes to be processed can be determined based on the spectral information, and the material of the clothes to be processed and the proportion of each material can be determined as the material information.

[0111] In other embodiments, the clothing processing device may send the spectrum information to a terminal or a server, and the terminal or the server determines and sends the material information of the clothing to be processed to the clothing processing device.

[0112] The method for detecting clothing materials provided in the embodiment of the present application is applied to clothing processing equipment, which determines the detection direction of the spectrum detection device based on the preset barrel state of the clothing processing equipment during the detection process; in response to the trigger operation of executing the clothing processing program, detects the spectrum information of the clothing to be processed in the clothing processing equipment according to the detection direction; and determines the material information of the clothing to be processed according to the spectrum information. In this way, the detection direction of the spectrum detection device is determined by the barrel state, and the spectrum information of the clothing is detected according to the detection direction, which can ensure that there are clothing to be processed along the detection direction of the spectrum detection device, avoid detecting the barrel wall or barrel bottom without clothing, and improve the detection accuracy of clothing materials; and the spectrum detection device can automatically detect the material information of the clothing to be processed without the user performing manual selection operations, which can reduce the number of user operations and reduce the complexity of user operations; in addition, the material information of clothing is detected during the execution of the clothing processing program, and no separate detection time is required, which can shorten the clothing processing time.

[0113] In some embodiments, after determining the material information of the clothes to be processed, a corresponding clothes processing program may be executed based on the material information of the clothes to be processed. Figure 1 Step S102 of the embodiment shown or Figure 2 After step S203 of the illustrated embodiment, the following steps are continued:

[0114] Step S204, determining processing parameters of the clothing processing program based on the material information.

[0115] After determining the material information of the clothes to be processed, the material parameter corresponding table is queried according to the material information. When the material information only includes the material, the material parameter corresponding table includes the material and the processing parameters of each clothing processing process corresponding to each material; when the material information includes the material and the proportion of each material, the material parameter corresponding table includes the material, the proportion of each material and the processing parameters of each clothing processing process corresponding to each material. According to the material information and the clothing processing program selected by the user, the processing parameters of each clothing processing process included in the clothing processing program selected by the user are determined.

[0116] For example, the user selects the washing-rinsing-dehydrating clothing processing program, which includes a washing process, a rinsing process and a dehydrating process. According to step S102 or step S203, the material of the clothes to be washed only includes silk. The material parameter corresponding table is queried to obtain the processing parameters corresponding to the washing process as light washing, the washing time is 20 minutes (min), the processing parameters corresponding to the rinsing process are rinsing time 10min, and the processing parameters corresponding to the dehydrating process are dehydrating time 0min. Here, since silk clothes are easy to wrinkle, when the material is silk, the dehydrating time can be set to 0min, of course, it can also be other time. When it is determined that the material of the clothes to be washed includes cotton and silk, cotton accounts for 95% and silk accounts for 5%, the material parameter corresponding table is queried to obtain the processing parameters corresponding to the washing process as normal washing, the washing time is 30min, the processing parameters corresponding to the rinsing process are rinsing time 15min, and the processing parameters corresponding to the dehydrating process are dehydrating time 3min. It can be understood that for each independent processing process in the clothing processing program selected by the user, such as the washing time in the washing process, independent parameter settings are made according to the material parameter correspondence table, and the processing time settings for each processing process are independent of each other and not related. This helps to perform more detailed and adaptive material detection and processing for clothes of different materials or different material proportions, which can improve the cleanliness of clothes and reduce damage to clothes.

[0117] Step S205, executing a clothes processing program based on the processing parameters.

[0118] After the processing parameters of the various laundry treatment processes included in the laundry treatment program are determined, the corresponding various laundry treatment processes are run based on the various processing parameters, thereby executing the laundry treatment program.

[0119] The method provided in the embodiment of the present application automatically determines the material information of the clothes to be processed by a spectral detection device arranged on the clothes processing equipment, without the need for the user to perform manual selection operations, which can reduce the number of user operations and reduce the complexity of user operations, and can ensure the accuracy of the determined material information of the clothes to be processed, so that the clothes processing equipment executes the clothes processing program based on the processing parameters matching the material information of the clothes to be processed, which not only ensures that the clothes to be processed will not be damaged, but also can improve the clothes processing effect.

[0120] When setting up the spectrum detection device, Figure 1 or Figure 2 In the illustrated embodiment, the distance d between the spectrum detection device and the clothes to be processed is greater than the first distance threshold d1, so that non-contact detection is achieved. When the distance between the spectrum detection device and the clothes to be processed is too large, natural light and the like affect the detection result. Therefore, on the basis of d>d1, the distance d between the spectrum detection device and the clothes to be processed is further set to be less than the second distance threshold d2, that is, d1<d<d2, so as to ensure the accuracy of the detection result in the case of non-contact detection.

[0121] Based on the clothing material detection method provided in the above-mentioned embodiment, the embodiment of the present application further provides a clothing material detection method applied to a clothing processing device. Figure 3 A schematic diagram of another implementation flow of the method for detecting clothing material provided in the embodiment of the present application is shown as follows: Figure 3 As shown, the method comprises the following steps:

[0122] Step S301, in response to a triggering operation of executing a laundry processing program, a spectrum detection device is used to detect spectrum information of laundry to be processed in a laundry processing device.

[0123] Here, a spectrum detection device is arranged in the door body of the clothes processing device, that is, the spectrum detection device arranged in the door body of the clothes processing device is used to detect the spectrum information of the clothes to be processed in the barrel body.

[0124] The implementation of step S301 and step S302 in the embodiment of the present application can be found in Figure 1 Detailed description of step S101 and step S102 in the illustrated embodiment.

[0125] Step S302: determining material information of the clothes to be processed according to the spectrum information.

[0126] In some embodiments, the above steps S301 and S302 may be replaced by steps S301' to S303':

[0127] Step S301 ′: determining the detection direction of the spectrum detection device based on the preset barrel state of the clothes processing device during the detection process.

[0128] Step S302', in response to the triggering operation of executing the laundry processing program, the spectrum information of the laundry to be processed in the laundry processing device is detected according to the detection direction.

[0129] Step S303', determining the material information of the clothes to be processed according to the spectrum information.

[0130] The implementation of the above steps S301' to S303' can be found in Figure 2 Detailed description of steps S201 to S203 in the illustrated embodiment.

[0131] Step S303, controlling the image acquisition device to acquire image information of the clothes to be processed.

[0132] The image acquisition device is arranged in the door body, such as at the center of the glass cavity. The image acquisition device can be a camera or other device capable of acquiring images.

[0133] In an embodiment of the present application, when the spectral detection device and the image acquisition device are both arranged in the glass cavity of the door body, the image acquisition device and the spectral detection device are not overlapped in the direction perpendicular to the door body, that is, the spectral detection device and the image acquisition device do not block each other when working, ensuring that the spectral detection device and the image acquisition device can both work normally.

[0134] In the embodiment of the present application, the spectrum detection device can be set at a lower position in the glass cavity. In this way, when the barrel is in a stationary state, the distance between the clothes to be processed at the bottom of the barrel and the spectrum detection device is closer, which can ensure the accuracy of the spectrum detection device.

[0135] Step S304: determining the category of the clothes to be processed according to the image information.

[0136] Here, the categories of clothes to be processed may include underwear and outerwear. Generally, underwear is worn close to the body, and underwear and outerwear made of the same material have different corresponding washing parameters. In order not to affect the comfort, softness, shape, etc. of the clothes to be processed, in the embodiment of the present application, the processing parameters of the clothes processing program are determined in combination with the type of clothes and the material of the clothes.

[0137] In some embodiments, when determining the category of the clothes to be processed based on image information, the category of the clothes to be processed can be determined based on a category information table. The category information table can be stored in the storage space of the clothing processing device, or in a terminal that has a connection relationship with the clothing processing device, or in a server that has a connection relationship with the clothing processing device or the terminal. The embodiments of the present application are not limited to this.

[0138] In other embodiments, the clothing processing device may send the image information to a terminal or a server, and the terminal or the server determines and sends the category of the clothing to be processed to the clothing processing device.

[0139] In an embodiment of the present application, step S303 and step S304 may be executed before step S301, or after step S301 and before step S302, or after step S302, which is not limited in the embodiment of the present application.

[0140] Step S305, determining processing parameters of the clothing processing program based on the material information and the category.

[0141] After determining the material information and category of the clothes to be processed, query the correspondence table between the material information, category and processing parameters according to the material information and category. When the material information only includes the material, the correspondence table includes the processing parameters of each clothing processing process corresponding to each material and each category; when the material information includes the material and the material ratio, the correspondence table includes the processing parameters of each clothing processing process corresponding to each material, each material ratio and each category. According to the material information and category of the clothes to be processed, and the clothes processing program selected by the user, determine to obtain the processing parameters of each clothes processing process included in the clothes processing program selected by the user.

[0142] Step S306, executing the clothing processing program based on the processing parameters.

[0143] The clothing material detection method provided in the embodiment of the present application automatically identifies the category of clothing to be processed by an image acquisition device arranged on the door body of the clothing processing equipment, and automatically detects the material information of the clothing to be processed by a spectral detection device arranged on the door body of the clothing processing equipment. There is no need for users to perform manual selection operations, which can reduce the number of user operations and reduce the complexity of user operations. It also automatically selects an appropriate processing program according to the material information and category of the clothing to be processed, which can not only ensure that the clothing to be processed will not be damaged, but also improve the clothing processing effect.

[0144] In some embodiments, the material information of the clothes to be processed can be determined by the clothes processing device. Figure 1 In the embodiment shown, step S102 or Figure 2In the illustrated embodiment, step S203 “determining material information of the clothing to be processed according to the spectral information” can be implemented by the following steps:

[0145] Step S102a1, obtaining a preset relationship table.

[0146] The preset relationship table includes at least one material and reference spectrum information corresponding to various materials. The preset relationship table can be stored in the storage space of the clothing processing device, or in a terminal connected to the clothing processing device, or in a service end connected to the clothing processing device or the terminal.

[0147] When the preset relationship table is stored in a terminal or a server, and a connection relationship is established between the clothing processing device and the terminal or the server, obtaining the preset relationship table can be implemented as follows: the clothing processing device sends a request message to the terminal or the server that has a connection relationship with the clothing processing device, and the request message is used to obtain the preset relationship table. After receiving the request message, the terminal or the server sends the preset relationship table to the clothing processing device.

[0148] When the preset relationship table is stored in the server, and the clothing processing device only has a connection relationship with the terminal, obtaining the preset relationship table can be implemented as follows: the clothing processing device sends a first request message to the terminal that has a connection relationship with the clothing processing device, and the first request message is used to obtain the preset relationship table. After receiving the first request message, the terminal searches the local and fails to find the preset relationship table, and continues to send a second request message for obtaining the preset relationship table to the server. After receiving the second request message, the server sends the preset relationship table to the terminal in response to the second request message, and the terminal then sends it to the clothing processing device.

[0149] In the embodiment of the present application, the data stored in the preset relationship table and the data in the database for determining the proportion of each material can be static data, or data that can be dynamically updated based on data collected by the clothing processing device itself, or data that can be dynamically updated based on data on the Internet. When updating the preset relationship table or database, it can be manually updated by the user or automatically updated in a self-learning manner.

[0150] Step S102a2, respectively determining the matching degree between the spectrum information and each reference spectrum information.

[0151] Here, the spectrum information detected by the spectrum detection device can be compared with each reference spectrum information in the preset relationship table to determine the similarity, and the similarity is used as the matching degree.

[0152] Step S102a3, determining the material information of the clothes to be processed based on the matching degree.

[0153] Here, the material information may include only the target material, or may include the target material and the target material ratio. The clothing processing device determines the target material of the clothing to be processed and the ratio of each target material. When implemented, the spectral information may be clustered and analyzed, and the classification result may be compared with the ratio relationship table stored in the database to obtain the ratio of each target material of the clothing to be processed.

[0154] In one implementation, the above-mentioned “determining the material information of the clothes to be processed based on the matching degree” can be implemented as follows: determining the material corresponding to at least one reference spectral information whose matching degree is greater than the first preset threshold as at least one target material, and determining the material information of the clothes to be processed based on at least one target material. When the material information only includes the material, the above-mentioned “determining the material information of the clothes to be processed based on at least one target material” can be implemented as follows: determining at least one target material as the material information of the clothes to be processed. When the material information includes the material and the proportion of each material, the above-mentioned “determining the material information of the clothes to be processed based on at least one target material” can be implemented as follows: determining the proportion of various target materials in the material information based on the spectral information, and determining at least one target material and the proportion of at least one target material as the material information of the clothes to be processed. After obtaining the target material, the spectral information is preprocessed (such as noise reduction preprocessing), and then the spectral information is classified using an existing classification algorithm (such as a neural network classification algorithm, a K nearest neighbor algorithm, etc.), and then the classification result is compared with the data pre-stored in the database to determine the proportion of each target material. For example, the material of the clothes to be processed can be one type, such as cotton, in which case the proportion of cotton is 100%; the material of the clothes to be processed can be multiple types, such as cotton, fiber and linen, in which cotton accounts for 45%, fiber accounts for 50%, and linen accounts for 5%. The material information of the clothes to be processed can include only the material of the clothes to be processed, or can include the proportion of each material.

[0155] In another implementation, the above-mentioned “determining the material information of the clothes to be processed based on the matching degree” can be implemented as: determining the target material corresponding to the reference spectrum information with the highest matching degree as the material information of the clothes to be processed.

[0156] In another implementation, when there are more than one piece of clothing to be processed in the barrel, or more than one material, when the processing parameters corresponding to different materials are not very different, the material information of the clothing to be processed can be determined according to the above method, but when the processing parameters corresponding to different materials are very different, it is necessary to consider the sensitivity of the multiple materials to the clothing processing program. In order to avoid damage to the clothing, the material with the highest sensitivity can be used as the material of the clothing to be processed. The above-mentioned "determining the material information of the clothing to be processed based on the matching degree" can be implemented as follows: determining the material corresponding to at least one reference spectral information with a matching degree greater than the second preset threshold as at least one candidate material; selecting the target material with the highest sensitivity to the clothing processing program from at least one candidate material; and determining the target material as the material information of the clothing to be processed. For example, when the clothing processing program is a washing program, the target material is the candidate material with the highest sensitivity to the washing intensity, and when the clothing processing program is a drying program, the target material is the candidate material with the highest sensitivity to the temperature.

[0157] In other embodiments, when the clothing processing device is connected to the terminal or the server, the terminal or the server can determine the material information of the clothing to be processed and send the determined material information to the clothing processing device. Figure 1 In the illustrated embodiment, step S102, and Figure 2 In the illustrated embodiment, step S203 “determining material information of the clothing to be processed according to the spectral information” can be implemented by the following steps:

[0158] Step S102b1, sending the spectrum information to a terminal or a server connected to the clothing processing device, so that the terminal or the server determines the material information corresponding to the spectrum information.

[0159] After receiving the spectral information, the terminal or server queries the preset relationship table according to the spectral information, and determines the matching degree between the spectral information and the reference spectral information corresponding to various materials; determines the material information of the clothes to be processed based on the matching degree; and finally sends the material information to the clothes processing device.

[0160] Step S102b2, receiving material information from the terminal or the server.

[0161] The method provided in the embodiment of the present application can flexibly determine the material information of the clothes to be processed according to the connection relationship between the clothes processing equipment and the terminal and the server.

[0162] The following is an explanation of an exemplary application of the embodiments of the present application in a practical application scenario.

[0163] Direct identification of clothing materials can be done through destructive combustion methods or non-destructive contact spectral analysis in related technologies, but non-contact spectral analysis is the best. There is currently a contact near-infrared spectroscopy (NIR, Near-Infrared Reflectance) product on the market that identifies materials and stain components, but it must be close to the clothing. If there is light leakage, the accuracy will drop significantly. In addition, close identification is required for each piece, and each test takes about 10 seconds. In the scenario of a washing machine, such close identification increases the user's washing actions and is not portable or intelligent.

[0164] Based on the above problems, the present application embodiment provides a washing machine. Figure 4 A schematic diagram of the structure of a washing machine provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the washing machine includes: a spectral module (corresponding to the spectral detection device mentioned above), which is arranged in the door of the washing machine, and the spectral module is used to detect the material of clothes.

[0165] In some embodiments, the present application further provides a washing machine, see Figure 4 , Figure 5 and Figure 6 The spectrum module 41 is installed on the door of the washing machine 40. The installation position of the spectrum module 41 is as follows: Figure 4 , Figure 5 and Figure 6 shown.

[0166] Fig. 7A A schematic diagram of the functional framework of the intelligent identification method for washing machines provided in the embodiment of the present application is shown in FIG. Fig. 7A As shown, the functional framework 71 includes: a cloud 711, a user terminal 712, a spectrum module 713 and clothing to be identified 714. The spectrum module 713 and clothing 714 are in the washing machine, the cloud 711 and the user terminal 712 are connected via a network, the user terminal 712 and the spectrum module 713 can be connected via Bluetooth, and the spectrum module 713 transmits and receives spectrum signals. Figure 7B A schematic flow chart of a method for identifying clothing material using a spectral module provided in an embodiment of the present application.

[0167] Combination Fig. 7A and Figure 7BThe workflow of this solution is as follows: first, a single piece of clothing is put into the washing machine, the door is closed, and the distance between the clothing and the spectral module is 5cm to 20cm. Then, on the mobile phone App, the applet is started to control the work of the spectral module; then the spectral module collects data for about 10 seconds. After completion, the module transmits the data back to the mobile phone via Bluetooth. Of course, it can also collect and transmit the data back to the mobile phone at the same time. Both methods are possible; the mobile phone uploads the results to the cloud through the network, compares them with the database (corresponding to the preset relationship table in the above text), and then sends the results to the mobile phone interface and displays them to the user, realizing non-contact near-infrared spectral material recognition of a single piece of clothing in a static state. Of course, the mobile phone results can also be transmitted to the washing machine through the home network, so as to adjust the washing program parameters and achieve the effect of smart washing.

[0168] In the present application embodiment, Figure 4 As shown, the spectral module is installed on the door of the washing machine, and its scanning angle is the bottom of the washing machine barrel. When identifying the material of clothing, the spectral module can be connected to the mobile phone via Bluetooth or other means. The user can control its operation and display the results through the mobile phone application (App, Application) applet, realizing non-contact near-infrared spectroscopy identification of clothing materials, thereby providing users with more convenient control interaction, and by identifying the material of clothing, the washing machine can realize more targeted adaptive selection of washing parameters. Compared with the existing technology in which the user selects the washing parameters, the automatic identification and selection of washing parameters by the washing machine is more accurate, and the washing method suitable for the material of the clothing can be used to wash the clothing, which can avoid damage to the clothing due to inappropriate washing parameters.

[0169] Fig. 8A Another schematic diagram of the functional framework of the intelligent identification method for washing machines provided in the embodiment of the present application is shown in FIG. Fig. 8A As shown, the functional framework 81 includes: a cloud 811, a user terminal 812, a spectrum module 813, clothing to be identified 814, and a washing machine 815. The cloud 811 and the washing machine 815 are connected via a network, the user terminal 812 and the washing machine 815 are connected via Bluetooth, the washing machine 815 and the spectrum module 813 can transmit signals via a Universal Asynchronous Receiver / Transmitter (UART), and the spectrum module 813 transmits and receives spectrum signals. Figure 8B Another schematic flow chart of a method for identifying clothing material using a spectral module provided in an embodiment of the present application.

[0170] Combination Fig. 8A and Figure 8BThe workflow of this solution is as follows: put multiple pieces of clothing into the washing machine, close the door, and keep the distance between the clothing and the module between 5cm and 20cm. Then start the washing machine, and the washing machine computer board will issue instructions for the drum to rotate forward and reverse, rotating for 15 seconds, stopping for 5 seconds, and reversing for 15 seconds. The length of 15 seconds and 5 seconds can be adjusted. At the same time, the spectrum module working instructions are controlled; the spectrum module collects data for about 120 seconds. After completion, the module transmits the data back to the washing machine computer board via Bluetooth. Of course, it can also collect and transmit the data back to the washing machine computer board at the same time. Both methods are possible; the washing machine computer board uploads the results to the cloud through the network, compares them with the database, and then sends the results to the washing machine and the mobile phone applet interface, and displays them to the user, realizing non-contact near-infrared spectral material recognition of multiple pieces of clothing in dynamic conditions. The washing machine computer board adjusts the washing program parameters based on the recognition results to achieve the effect of intelligent washing.

[0171] In the embodiment of the present application, the installation position of the spectrum module is as follows: Figure 4 As shown, the spectrum module is installed on the washing machine door, but Fig. 7A and 7B The difference between the illustrated embodiments is that in the embodiments of the present application, the scanning angle of the spectral module is close to parallel to the bottom of the barrel, and the module is connected to the mobile phone via Bluetooth, and its operation and display results can be controlled by the mobile phone App applet. Combined with the rotation of the barrel and multiple spectral acquisitions, dynamic non-contact near-infrared spectroscopy can be used to identify the materials of multiple pieces of clothing, thereby providing users with more professional interactions and allowing the washing machine to select more targeted washing parameters.

[0172] Based on the above embodiments, the present application further provides a washing machine. Fig. 9 , Figure 1 0 and Fig.11 The spectrum module 91 and the camera 92 are installed on the door of the washing machine 40. The installation positions of the spectrum module 91 and the camera 92 are as follows: Fig. 9 , Fig.10 and Fig.11 shown.

[0173] Fig. 12A Another schematic diagram of the functional framework of the intelligent identification method for washing machines provided in the embodiment of the present application is shown in FIG. Fig. 12AAs shown, the functional framework 121 includes: a cloud 1211, a user terminal 1212, a spectrum module 1213, clothing to be identified 1214, a washing machine 1215 and a camera 1216. The cloud 1211 and the washing machine 1215 are connected via a network, the user terminal 1212 and the washing machine 1215 can be connected via Bluetooth, the washing machine 1215 and the spectrum module 1213 and the camera 1216 can transmit signals via UART, the spectrum module 1213 transmits and receives spectrum signals, and the camera 1216 is used to capture images of the clothing 1214. Fig. 12B A schematic diagram of another flow chart of a method for identifying clothing material using a spectral module provided in an embodiment of the present application.

[0174] Combination Fig. 12A and Fig. 12B The workflow of this solution is as follows: put multiple pieces of clothing into the washing machine, close the door, start the washing machine, the washing machine computer board issues a command, the drum rotates for 5 seconds, this time can be adjusted, in order to let the clothes change positions, then the camera takes a photo and sends it back to the main control, which then uploads it to the cloud through the network, this process continues 5 times, after the cloud compares with the database, the result is sent to the washing machine computer board, and this stage is completed; after the photo function is completed, the spectral material is identified, at this time the distance between the clothing and the module is 5cm to 20cm, the washing machine computer board issues a command for the drum to rotate forward and reverse, rotate for 15 seconds, stop for 5 seconds, and reverse for 15 seconds, the size of 15 seconds and 5 seconds can be adjusted. At the same time, the spectral module working instructions are controlled; the spectral module collects data for about 120 seconds, and after completion, the module sends the data back to the washing machine computer board via Bluetooth, of course, it can also collect and send it back to the washing machine computer board at the same time, both methods are possible; the washing machine computer board uploads the results to the cloud through the network, compares them with the database, and then sends the results to the washing machine, and the mobile phone applet interface, and displays them to the user, realizing non-contact near-infrared spectral material identification under dynamic conditions of multiple pieces of clothing. The washing machine computer board makes fine adjustments to the washing program parameters based on the identified clothing style and material, achieving intelligent washing and care effects.

[0175] In the embodiment of the present application, a camera is installed on the door of the washing machine, which can cover the clothes in the entire lower half of the drum. Through the photos of the clothes after multiple flips, the style of the clothes is identified to confirm the function of the clothes, that is, tops and pants, underwear and outerwear, etc. The spectral module is installed on the door of the washing machine, and the scanning angle is close to parallel to the bottom of the drum. The module is connected to the mobile phone via Bluetooth, and its operation can be controlled by the mobile phone APP applet, and the results can be displayed. Combined with the rotation of the drum and multiple spectral acquisitions, dynamic non-contact near-infrared spectroscopy can be used to identify the materials of multiple pieces of clothing, thereby giving users more professional interaction and allowing the washing machine to select more targeted washing parameters.

[0176] The multi-dimensional intelligent recognition method applied to the washing machine provided in the embodiment of the present application can achieve long-distance, non-contact scanning and non-contact near-infrared spectroscopy recognition of clothing materials by setting the spectral module on the door of the washing machine, thereby providing users with more professional interaction and allowing the washing machine to select more targeted washing parameters. According to the results of the recognized clothing styles and clothing materials, the washing program parameters can be adjusted in a refined manner to achieve intelligent washing and care effects.

[0177] Based on the foregoing embodiments, the embodiments of the present application provide a device for detecting clothing materials. The modules included in the device and the units included in each module can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can 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), etc.

[0178] Fig.13 A schematic diagram of a composition structure of a clothing material detection device provided in an embodiment of the present application, wherein the clothing material detection device 1300 is applied to a clothing processing device, and a spectrum detection device is arranged in a door body of the clothing processing device, such as Fig.13 As shown, the clothing material detection device 1300 includes:

[0179] A first detection module 1301 is used for detecting the spectrum information of the clothes to be processed in the clothes processing device by using the spectrum detection device in response to the triggering operation of executing the clothes processing program;

[0180] The first determination module 1302 is used to determine the material information of the to-be-processed clothing according to the spectral information.

[0181] Fig.14 This is another schematic diagram of the composition structure of the clothing material detection device provided in an embodiment of the present application. The clothing material detection device 1400 is applied to clothing processing equipment, such as Fig.14 As shown, the clothing material detection device 1400 includes:

[0182] A second determination module 1401 is used to determine the detection direction of the spectrum detection device based on a preset barrel state of the laundry processing device during the detection process;

[0183] A second detection module 1402 is configured to detect spectral information of the clothes to be processed in the clothes processing device according to the detection direction in response to a trigger operation of executing the clothes processing program;

[0184] The third determination module 1403 is used to determine the material information of the to-be-processed clothing according to the spectral information.

[0185] In some embodiments, the second determining module 1401 is further configured to:

[0186] Determine the state of the barrel during the detection process, wherein the state of the barrel includes a static state and a running state;

[0187] It is determined that the barrel is in a stationary state, and the detection direction of the spectrum detection device is adjusted to a first direction, where the first direction is a direction toward the bottom of the barrel.

[0188] In some embodiments, the second determining module 1401 is further configured to:

[0189] It is determined that the barrel body is in the operating state, and the detection direction of the spectrum detection device is adjusted to a second direction, where the second direction is a direction facing away from the door body of the clothing processing device.

[0190] In some embodiments, the clothing material detection device 1300 or the clothing material detection device 1400 further includes:

[0191] a fourth determining module, configured to determine processing parameters of the clothing processing program based on the material information;

[0192] An execution module is used to execute the clothing treatment program based on the treatment parameters.

[0193] In some embodiments, the distance between the spectrum detection device and the laundry to be processed is greater than a first distance threshold.

[0194] In some embodiments, the distance between the spectrum detection device and the clothing to be processed is less than a second distance threshold; the clothing material detection device 1300 or the clothing material detection device 1400 further includes:

[0195] A control module, used for controlling an image acquisition device to acquire image information of the clothes to be processed, wherein the image acquisition device is disposed in the door body;

[0196] a fifth determining module, configured to determine the category of the clothes to be processed according to the image information;

[0197] The first determination module 1302 or the third determination module 1403 is further configured to determine a processing parameter of the clothing treatment program based on the material information and the category.

[0198] In some embodiments, the first determining module 1302 or the third determining module 1403 is further configured to:

[0199] Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials;

[0200] respectively determining the matching degree between the spectral information and each reference spectral information;

[0201] Determine a material corresponding to at least one reference spectrum information whose matching degree is greater than a first preset threshold as at least one target material;

[0202] The material information of the clothes to be processed is determined based on the at least one target material.

[0203] In some embodiments, the preset relationship table is stored in the storage space of the clothing processing device, or the preset relationship table is stored in a terminal connected to the clothing processing device, or the preset relationship table is stored in a server connected to the clothing processing device or the terminal.

[0204] In some embodiments, the first determining module 1302 or the third determining module 1403 is further configured to:

[0205] Determine the proportion of various target materials in the material information based on the spectral information;

[0206] The at least one target material and the proportion of the at least one target material are determined as the material information of the clothes to be processed.

[0207] In some embodiments, the first determining module 1302 or the third determining module 1403 is further configured to:

[0208] Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials;

[0209] respectively determining the matching degree between the spectral information and each reference spectral information;

[0210] Determine the material corresponding to at least one reference spectrum information whose matching degree is greater than a second preset threshold as at least one candidate material;

[0211] Selecting a target material that is most sensitive to the clothing treatment program from the at least one candidate material;

[0212] The material information of the clothes to be processed is determined based on the target material.

[0213] In some embodiments, the first determining module 1302 or the third determining module 1403 is further configured to:

[0214] Sending the spectrum information to a terminal or a server connected to the clothing processing device, so that the terminal or the server determines material information corresponding to the spectrum information;

[0215] The material information is received from the terminal or the server.

[0216] It should be noted here that the description of the above clothing material detection device embodiment is similar to the above method description and has the same beneficial effects as the method embodiment. For technical details not disclosed in the clothing material detection device embodiment of the present application, technicians in this field should refer to the description of the method embodiment of the present application for understanding.

[0217] It should be noted that in the embodiment of the present application, if the above-mentioned clothing material detection method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0218] Accordingly, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the clothing material detection method provided in the above embodiment are implemented.

[0219] The present application provides a clothes processing device. Fig.15 A schematic diagram of the composition structure of the clothes processing device provided in the embodiment of the present application, according to Fig.15The exemplary structure of the clothing processing device 1500 shown in the figure can foresee other exemplary structures of the clothing processing device 1500, so the structure described here should not be regarded as limiting. For example, some components described below can be omitted, or components not described below can be added to meet the special needs of certain applications.

[0220] Fig.15 The clothing processing device 1500 shown includes: a processor 1501, at least one communication bus 1502, a user interface 1503, at least one external communication interface 1504 and a memory 1505. The communication bus 1502 is configured to realize the connection and communication between these components. The user interface 1503 may include a display panel, and the external communication interface 1504 may include a standard wired interface and a wireless interface. The processor 1501 is configured to execute the program of the clothing material detection method stored in the memory to implement the steps in the clothing material detection method provided in the above embodiment.

[0221] The description of the above laundry processing device and storage medium embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the laundry processing device and storage medium embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

[0222] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application. The above-mentioned sequence numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

[0223] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0224] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0225] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0226] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0227] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0228] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can essentially or in other words, the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a product to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0229] The above is only an implementation method of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for detecting clothing material, applied to clothing processing equipment, characterized in that: The method comprises: Determine the barrel state of the laundry processing device during the detection process, wherein the barrel state includes a stationary state and a running state; Determining that the barrel body is in the static state, adjusting the detection direction of the spectrum detection device to a first direction, wherein the first direction is a direction toward the bottom of the barrel body; Determining that the barrel state is the running state, adjusting the detection direction of the spectrum detection device to a second direction, wherein the second direction is a direction facing away from the door of the laundry processing device; In response to a triggering operation of executing a laundry treatment program, detecting spectrum information of the laundry to be treated in the laundry treatment device according to the detection direction; The material information of the clothes to be processed is determined according to the spectral information.

2. The method according to claim 1, characterized in that The method further comprises: determining processing parameters of the clothing processing program based on the material information; The laundry treatment program is performed based on the treatment parameters.

3. The method according to claim 2, characterized in that The distance between the spectrum detection device and the laundry to be processed is greater than a first distance threshold.

4. The method according to claim 3, characterized in that The distance between the spectrum detection device and the laundry to be processed is less than a second distance threshold; The method further comprises: Controlling an image acquisition device to acquire image information of the clothes to be processed, wherein the image acquisition device is disposed in the door body; Determining the category of the clothes to be processed according to the image information; Accordingly, determining the processing parameters of the clothing processing program based on the material information includes: Based on the material information and the category, a processing parameter of the laundry treatment program is determined.

5. The method according to claim 1, characterized in that The determining the material information of the clothing to be processed according to the spectral information includes: Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials; respectively determining the matching degree between the spectral information and each reference spectral information; Determine a material corresponding to at least one reference spectrum information whose matching degree is greater than a first preset threshold as at least one target material; The material information of the clothes to be processed is determined based on the at least one target material.

6. The method according to claim 5, characterized in that The preset relationship table is stored in the storage space of the clothing processing device, or the preset relationship table is stored in a terminal connected to the clothing processing device, or the preset relationship table is stored in a server connected to the clothing processing device or the terminal.

7. The method according to claim 5, characterized in that The determining the material information of the clothing to be processed based on the at least one target material includes: Determine the proportion of various target materials in the material information based on the spectral information; The at least one target material and the proportion of the at least one target material are determined as the material information of the clothes to be processed.

8. The method according to claim 1, characterized in that The determining the material information of the clothing to be processed according to the spectral information includes: Obtaining a preset relationship table, wherein the preset relationship table includes at least one material and reference spectrum information corresponding to various materials; respectively determining the matching degree between the spectral information and each reference spectral information; Determine the material corresponding to at least one reference spectrum information whose matching degree is greater than a second preset threshold as at least one candidate material; Selecting a target material that is most sensitive to the clothing treatment program from the at least one candidate material; The material information of the clothes to be processed is determined based on the target material.

9. The method according to claim 1, characterized in that: The determining the material information of the clothing to be processed according to the spectral information includes: Sending the spectrum information to a terminal or a server connected to the clothing processing device, so that the terminal or the server determines material information corresponding to the spectrum information; The material information is received from the terminal or the server.

10. A clothing material detection device, applied to clothing processing equipment, characterized in that: The device comprises: A second determination module is used to determine the barrel state of the clothing processing device during the detection process, wherein the barrel state includes a static state and a running state; when the barrel state is determined to be the static state, the detection direction of the spectrum detection device is adjusted to a first direction, wherein the first direction is a direction toward the bottom of the barrel; when the barrel state is determined to be the running state, the detection direction of the spectrum detection device is adjusted to a second direction, wherein the second direction is a direction away from the door of the clothing processing device; a second detection module, configured to detect spectral information of the clothes to be processed in the clothes processing device according to the detection direction in response to a triggering operation of executing a clothes processing program; The third determination module is used to determine the material information of the to-be-processed clothing according to the spectral information.

11. A clothes processing device, characterized in that: include: A memory for storing executable instructions; A processor, configured to implement the steps of the clothing material detection method according to any one of claims 1 to 9 when executing the executable instructions stored in the memory.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are configured to execute the steps of the clothing material detection method described in any one of claims 1 to 9 above.

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