Clothes processing method, electronic equipment and clothes processing equipment
By using detection pieces in the clothing processing equipment to collect the reflective data of the clothing to the light signal and automatically identify the material and dirt type of clothing, it solves the problem that users find it difficult to accurately judge the material and dirt type of clothing, and improves the accuracy and safety of the washing process.
Patent Information
- Application Number
- CN202510095389.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-06
- Estimated Expiration
- 2045-01-21
AI Technical Summary
When users wash clothes through clothing processing equipment, it is difficult to accurately judge the material of clothes and the type of dirt on clothes, resulting in improper execution of the washing program, which may damage the clothes and affect the user experience.
By setting a detection piece in the washing bucket of the clothing processing equipment, using the diffuse reflection characteristics of the incident light signal, the reflection data of the clothing on the light signal is collected, and the material and dirt type of the clothing are judged. The method includes, during the material detection stage, the detection piece changes the position of the clothing, continuously obtains multiple optical signals, and conducts analysis and judgment based on their wavelength and wavelength change amplitude.
The clothing treatment equipment automatically recognizes the material and dirt types of clothing, improves the accuracy and efficiency of identification, ensures that the clothes are properly treated, and avoids damage to clothing caused by improper washing.
Smart Images

Figure CN119932861A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of clothing processing equipment, and in particular, to a clothing processing method, an electronic device and a clothing processing equipment. Background Art
[0002] In the related art, when a user washes clothes through a clothes processing device, the user usually needs to judge the material of the clothes and the type of dirt on the clothes by himself, and determine the specific execution method of the washing program. However, when there are many clothes, there are also many types of dirt on the clothes. It is difficult for the user to accurately judge the material of the clothes and the type of dirt on the clothes. When determining the specific execution method of the washing program, it is difficult to ensure that the clothes are properly processed while avoiding damage to the clothes, which affects the user's experience. Summary of the invention
[0003] The embodiments of the present application provide a clothing processing method, an electronic device and a drum washing machine to solve the problem in the related art that it is difficult for a user to identify the material of the clothing and the type of dirt on the clothing when performing washing procedures on the clothing through a clothing processing device.
[0004] According to a first aspect of an embodiment of the present application, a clothing processing method is provided, which is used for a clothing processing device, wherein the clothing processing device has a washing tub for accommodating clothing, and the clothing processing device includes a detection member for detecting the material of clothing in the washing tub, wherein the detection member is located inside the washing tub and is used to collect a first light signal after the clothing diffusely reflects an incident light signal; the control method includes:
[0005] Controlling the clothing processing device to execute a material detection phase;
[0006] In the material detection stage, a plurality of first light signals are continuously acquired in the process of controlling the detection element to change the corresponding clothing position;
[0007] The material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub are determined according to the plurality of the first light signals.
[0008] Optionally, judging the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub according to the plurality of the first light signals includes:
[0009] The material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub are determined according to the wavelengths of the plurality of first light signals and the amplitude of the wavelength changes of the plurality of first light signals.
[0010] Optionally, when the wavelengths of N consecutive first light signals are smaller than a first preset value and the amplitude of the change in the wavelengths of two adjacent first light signals is smaller than a second preset value, the wavelengths of the N first light signals are used to determine the type of dirt on the clothes in the washing tub;
[0011] When the wavelengths of M consecutive first light signals are respectively greater than or equal to a first preset value and the change amplitude of the wavelengths of two adjacent first light signals is less than a third preset value, the wavelengths of the M first light signals are used to determine the material of the clothes in the washing tub.
[0012] Among them, the first preset value is smaller than the second preset value, the second preset value is smaller than the third preset value, the second preset value is smaller than the third preset value, and N<M.
[0013] Optionally, the wavelengths of N first optical signals are a first group of data, and the wavelengths of M first optical signals are a second group of data, and the control method includes:
[0014] Performing normal distribution analysis on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub, and / or,
[0015] A discrete degree analysis is performed on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or to determine the material of the clothes in the washing tub.
[0016] Optionally, performing normal distribution analysis on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or determining the material of the clothes in the washing tub includes:
[0017] performing normal distribution analysis on a plurality of the first groups of data and / or a plurality of the second groups of data, dividing the plurality of the first groups of data and / or a plurality of the second groups of data into a plurality of continuous value intervals according to the values of the data, determining the type of dirt on the clothes in the washing tub and / or determining the material of the clothes in the washing tub according to the number of data contained in each value interval and the type of dirt on the clothes and / or the material of the clothes corresponding to each value interval,
[0018] The performing discrete degree analysis on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or determining the material of the clothes in the washing tub includes:
[0019] Perform a discrete degree analysis on multiple first sets of data and / or multiple second sets of data to obtain fluctuations of multiple first sets of data and / or multiple second sets of data, determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub.
[0020] Optionally, the controlling the clothing processing device to perform a material detection phase includes:
[0021] According to the weight M of the clothes of the material to be detected, the number of times the clothes processing device performs the material detection stage is controlled.
[0022] Optionally, the greater the weight M is, the more times the clothing processing device is controlled to execute the material detection stage.
[0023] Optionally, a lifting rib is provided on the inner wall of the washing tub, and the lifting rib is used to turn over the clothes in the washing tub, and the detection member is rotatably arranged in the lifting rib, and a plurality of the lifting ribs are arranged in the circumference of the washing tub;
[0024] In the material detection stage, in the process of controlling the detection element to change the corresponding clothing position, continuously acquiring a plurality of first light signals includes:
[0025] When the washing tub does not rotate, the detecting member is controlled to reciprocate in the lifting rib to change the position of the clothes corresponding to the detecting member, so as to obtain the wavelength of the first light signal of the clothes in the washing tub.
[0026] Optionally, during the reciprocating rotation of the detection member, the detection member has a first state relative to the clothes on the first side of the lifting rib, a second state relative to the clothes on the upper surface of the lifting rib, and a third state relative to the clothes on the second side of the lifting rib. During the rotation of the detection member from the first state to the third state, the rotation angle of the detection member is less than or equal to 180 degrees.
[0027] Optionally, the method further includes: controlling operating parameters of the washing tub according to the material of the clothes and the type of dirt on the clothes.
[0028] According to a second aspect of an embodiment of the present application, an electronic device is provided, comprising a memory and a controller, wherein the memory is used to store a computer program; and the processor is used to execute the computer program to implement the steps of any one of the above-mentioned clothing processing methods.
[0029] According to a third aspect of an embodiment of the present application, a clothing processing device is provided, wherein the clothing processing device has a washing drum for accommodating clothing and a detection component for detecting the material of clothing in the washing drum, and the clothing processing device is used to execute any one of the clothing processing methods described above, or includes an electronic device as described above.
[0030] Optionally, at least one fixed lifting rib is provided on the inner wall of the washing tub, and the lifting rib is used to turn over the clothes in the washing tub. In the circumferential direction of the washing tub, a rotatable detection member is provided in at least one of the lifting ribs.
[0031] Optionally, the detection element is an optical detection sensor, the lifting rib has a shell, and the shell is at least partially made of a transparent material to avoid blocking the signal of the detection element.
[0032] The solution provided by the present invention has the following beneficial effects compared with the prior art:
[0033] Through the above technical solution, before the user washes the clothes, the clothing processing equipment can be controlled to perform the material detection stage. In the material detection stage, the incident light signal will be diffusely reflected when it contacts the clothes. The incident light signal after diffuse reflection will form a first light signal and will be received by the detection element. Compared with the incident light signal, the first light signal will change. When the incident light signal contacts clothes of different materials, the generated first light signal will also change, that is, the material of the clothes in the washing tub can be judged by the first light signal. When dirt is attached to the clothes and the incident light signal contacts the dirt, diffuse reflection will also occur, and the generated first light signal will also change, that is, the type of dirt in the washing tub can also be judged by the first light signal. In the present application, the material of the clothes in the washing tub can be automatically identified by the detection of the built-in detection element of the clothes processing device, without the need for manual judgment by the user. This not only saves the user's time, but also greatly improves the accuracy of material identification. After determining the material of the clothes and the type of dirt, the clothes processing device can determine the specific execution method of the program according to the program to ensure that the clothes are properly processed and avoid damage to the clothes caused by improper washing. At the same time, in the material detection stage, multiple first light signals are continuously obtained, thus ensuring the accuracy of the judgment of the material and type of dirt of the clothes.
[0034] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] Figure 1 It is a flowchart of a control method provided in an embodiment of the present application;
[0036] Figure 2is a flowchart of another control method provided in an embodiment of the present application;
[0037] Figure 3 It is a structural schematic diagram of a lifting rib provided in an embodiment of the present application;
[0038] Figure 4 It is a schematic diagram of different states of a detection member provided in an embodiment of the present application. DETAILED DESCRIPTION
[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.
[0040] It should be understood that the "multiple" mentioned herein refers to two or more. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in order to facilitate the clear description of the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish between the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not limit them to be necessarily different.
[0041] In addition, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not explicitly listed or inherent to such process, method, product, or apparatus.
[0042] In the related art, when a user washes clothes through a clothes processing device, the user usually needs to judge the material of the clothes and the type of dirt on the clothes by himself, and determine the specific execution method of the washing program. However, when there are many clothes, there are also many types of dirt on the clothes. It is difficult for the user to accurately judge the material of the clothes and the type of dirt on the clothes. When determining the specific execution method of the washing program, it is difficult to ensure that the clothes are properly processed while avoiding damage to the clothes, which affects the user's experience.
[0043] According to the first aspect of the embodiment of the present application, Figure 1 and Figure 2 As shown, a clothing processing method is provided, which is used for a clothing processing device, the clothing processing device has a washing tub for accommodating clothing, the clothing processing device includes a detection member for detecting the material of the clothing in the washing tub, the detection member is located inside the washing tub, and is used to collect a first light signal after the clothing diffusely reflects an incident light signal; the control method includes: step S100: controlling the clothing processing device to execute a material detection phase; step S200: in the material detection phase, in the process of controlling the detection member to change the corresponding clothing position, continuously acquiring multiple first light signals; step S300: judging the material of the clothing in the washing tub and / or the type of dirt on the clothing in the washing tub according to the multiple first light signals.
[0044] Through the above technical solution, before the user washes the clothes, the clothing processing equipment can be controlled to perform the material detection stage. In the material detection stage, the incident light signal will be diffusely reflected when it contacts the clothes. The incident light signal after diffuse reflection will form a first light signal and will be received by the detection element. Compared with the incident light signal, the first light signal will change. When the incident light signal contacts clothes of different materials, the generated first light signal will also change, that is, the material of the clothes in the washing tub can be judged by the first light signal. When dirt is attached to the clothes and the incident light signal contacts the dirt, diffuse reflection will also occur, and the generated first light signal will also change, that is, the type of dirt in the washing tub can also be judged by the first light signal. In the present application, the material of the clothes in the washing tub can be automatically identified by the detection of the built-in detection element of the clothes processing device, without the need for manual judgment by the user. This not only saves the user's time, but also greatly improves the accuracy of material identification. After determining the material of the clothes and the type of dirt, the clothes processing device can determine the specific execution method of the program according to the program to ensure that the clothes are properly processed and avoid damage to the clothes caused by improper washing. At the same time, in the material detection stage, multiple first light signals are continuously obtained, thus ensuring the accuracy of the judgment of the material and type of dirt of the clothes.
[0045] Step S300 may include step S301: judging the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub according to the wavelengths of the plurality of first light signals and the amplitude of the change of the wavelengths of the plurality of first light signals. In the material detection stage, the incident light signal will be diffusely reflected when it contacts the clothes, and the incident light signal after diffuse reflection will be formed into a first light signal and will be received by the detection element. The wavelength of the first light signal will change compared with the wavelength of the incident light signal. The wavelength, as an important feature of the light signal, can reflect the absorption and reflection characteristics of light by different materials and dirt. When the incident light signal contacts clothes of different materials, the wavelength of the generated first light signal will also be different. In this way, the material of the clothes in the washing tub can be judged by the wavelength of the first light signal. When dirt is attached to the clothes and the incident light signal contacts the dirt, diffuse reflection will also occur, and the wavelength of the generated first light signal will also change. That is, the type of dirt in the washing tub can also be judged by the wavelength of the first light signal. Through the wavelength change amplitude of multiple first optical signals, it is possible to determine whether the wavelength of the first optical signal has undergone a mutation, determine whether the wavelength of the acquired first optical signal is abnormal data, and eliminate the interference of abnormal data. The accuracy of the wavelength of the acquired first optical signal is guaranteed to avoid inaccurate judgment of clothing material and dirt type due to interference of the optical signal. Taking the acquisition of wavelength data of ten first optical signals as an example, when nine of the ten wavelength data are within the first range and only one is within the second range, it means that the wavelength data within the second range is interfered by other factors and is not accurate enough, and is abnormal data that can be eliminated.
[0046] The incident light signal mentioned above may be emitted by the detection element itself, or may be an element that is also disposed in the washing tub and is capable of emitting a light signal.
[0047] Specifically, when the wavelengths of N consecutive first light signals are less than the first preset value and the amplitude of the change of the wavelengths of two adjacent first light signals is less than the second preset value, the wavelengths of the N first light signals are used to determine the type of dirt on the clothes in the washing tub; when the wavelengths of M consecutive first light signals are respectively greater than or equal to the first preset value and the amplitude of the change of the wavelengths of two adjacent first light signals is less than the third preset value, the wavelengths of the M first light signals are used to determine the material of the clothes in the washing tub, wherein the first preset value is less than the second preset value, the second preset value is less than the third preset value, and N<M. By setting the first preset value, the second preset value, and the third preset value, as well as the wavelength conditions of N and M consecutive first light signals, accurate distinction between the material of the clothes and the type of dirt is achieved. The wavelength of light in different media will be different. Generally speaking, the wavelength of the first light signal generated by contact with clothes is usually greater than the wavelength of the first light signal generated by contact with dirt. Since the coverage of clothes is larger, diffuse reflection is more likely to occur. The first preset value here is used to distinguish whether the wavelength of the first light signal is used to determine the material of the clothes in the washing tub or to determine the type of dirt. The size of the first preset value can be adaptively designed according to actual conditions. For example, when the incident light signal contacts dirt and generates diffuse reflection, the maximum value of the wavelength of the first light signal formed is A, and when the incident light signal contacts clothes and generates diffuse reflection, the minimum value of the wavelength of the first light signal formed is B. At this time, the first preset value can select any value between A and B as the first preset value.
[0048] At the same time, since the dirt is attached to the clothes, the wavelength of the first light signal formed by the incident light signal contacting different types of dirt has a small change range. Since the wavelength of light in different media is different, the wavelength of the first light signal formed by the incident light signal contacting clothes of different materials also has a large change range, so the second preset value is less than the third preset value. At the same time, the coverage of the clothes is larger, so N<M.
[0049] When the wavelength of N consecutive first optical signals is less than the first preset value and the amplitude of the wavelength change of two adjacent first optical signals is less than the second preset value, it means that the dirt attached to the clothes is detected. When the wavelengths of M consecutive first optical signals are respectively greater than or equal to the first preset value and the amplitude of the wavelength change of two adjacent first optical signals is less than the third preset value, it means that the material of the clothes is detected. When judging the material of the clothes or the type of dirt, the wavelength of N consecutive first optical signals or the wavelength of M consecutive first optical signals is used for judgment. This judgment method based on continuous signals and preset values effectively avoids misjudgment caused by single signal fluctuations and improves the accuracy and stability of judgment.
[0050] In some embodiments, the wavelengths of N first optical signals are the first group of data, and the wavelengths of M first optical signals are the second group of data. The control method includes: performing normal distribution analysis on multiple first groups of data and / or multiple second groups of data to determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub, and / or, performing discrete degree analysis on multiple first groups of data and / or multiple second groups of data to determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub. Through normal distribution analysis, the collected first optical signal wavelength data can be divided into different numerical intervals. The amount of data in each interval and its corresponding characteristics (such as a specific type of dirt or a specific material) can more accurately identify the material and dirt type of the clothes, thereby improving the reliability and accuracy of the detection results. The discrete degree analysis focuses on the fluctuation of the data, that is, the difference between each data point. By evaluating the discreteness of these data, the judgment of the material and dirt type of the clothes can be refined. If the discreteness of a group of data is small, it means that the group of data is relatively concentrated and is of the same type of material or dirt; on the contrary, a large discreteness may indicate that there are multiple different types of mixtures. This further improves the reliability and accuracy of the test results.
[0051] In some embodiments, when performing normal distribution analysis on multiple first sets of data and / or multiple second sets of data, multiple first sets of data and / or multiple second sets of data can be divided into several continuous value intervals according to the values of the data, and the type of dirt on the clothes in the washing tub and / or the material of the clothes corresponding to each value interval can be determined. Taking the normal distribution analysis of multiple first sets of data as an example, at this time, multiple first sets of data can be entered into a coordinate graph with several continuous intervals as the horizontal coordinates and the number of data as the vertical coordinates to form a bar graph or a curve, and the type of dirt on the clothes in the washing tub can be determined according to the fluctuation of the bar graph and the curve. For example, if the first set of data includes 100 data in total, there are 40 data in the numerical range indicating coffee stains on clothes, and 20 data in the numerical range including oil stains. At this time, it means that there are coffee stains and tea stains on the clothes. Further, according to the number of data, it can be judged that the ratio of coffee stains and tea stains on the clothes is 2:1. Data that does not fall into the numerical range indicating the type of dirt can be regarded as error data to avoid the detection result being affected by the error data.
[0052] In other embodiments, when performing discrete degree analysis on multiple first data sets and / or multiple second data sets, the fluctuations of multiple first data sets and / or multiple second data sets can be obtained to determine the type of dirt on the clothes in the washing tub and / or the material of the clothes in the washing tub. When performing discrete degree analysis on multiple second data sets, the order of the acquired data can be used as the horizontal coordinate and the data size can be used as the vertical coordinate. The multiple second data sets can be entered into a coordinate graph to form a fluctuation curve, and the type of dirt on the clothes in the washing tub can be determined based on the fluctuation of the curve. For example, the second set of data includes 40 data in total. From the first data to the 17th data, the size of these 17 data fluctuates within the numerical range indicating that the material of the clothes is chemical fiber. From the 20th data to the 40th data, the size of these 20 data fluctuates within the numerical range indicating that the material of the clothes is cotton and linen. At this time, it means that there are chemical fiber clothes and cotton and linen clothes in the washing bucket. At the same time, the ratio of chemical fiber clothes to cotton and linen clothes is 17:20.
[0053] Step S100 may include step S101: according to the weight M of the clothes of the material to be detected, controlling the number of times the clothes processing device performs the material detection stage. Ensure that the detection frequency is adjusted according to the total amount of clothes, so that even a large amount of clothes can be fully detected. Specifically, the larger the weight M, the more times the clothes processing device is controlled to perform the material detection stage. By increasing the number of detections under heavy load, the recognition accuracy of different materials and dirt types is improved, and misjudgment is reduced.
[0054] The inner wall of the washing tub may be provided with lifting ribs, which are used to turn over the clothes in the washing tub. The detection member may be rotatably arranged in the lifting ribs, and a plurality of lifting ribs may be arranged in the circumference of the washing tub. Step S200 may include step S201: when the washing tub does not rotate, the detection member is controlled to rotate back and forth in the lifting ribs to change the position of the clothes corresponding to the detection member, so as to obtain the wavelength of the first light signal of the clothes in the plurality of washing tubs. In this way, even if the washing tub does not rotate, the detection member can rotate back and forth in the lifting ribs to change the position of the clothes corresponding to the detection member, and the detection member can cover a wider detection range, thereby ensuring the accuracy of identifying different materials and types of dirt. At the same time, by means of the lifting ribs arranged on the inner wall, when the washing tub can rotate, the clothes can be driven to move and the state of the clothes can be changed, so that the detection member can detect different positions of the clothes, and the detection member itself rotates back and forth in the lifting ribs, thereby further ensuring the accuracy of identifying different materials and types of dirt.
[0055] During the reciprocating rotation of the detection member, the detection member has a first state relative to the clothes on the first side of the lifting rib, a second state relative to the clothes on the upper surface of the lifting rib, and a third state relative to the clothes on the second side of the lifting rib. During the rotation of the detection member from the first state to the third state, the rotation angle of the detection member is less than or equal to 180 degrees. Taking the washing tub as a common cylindrical shape as an example, during the rotation of the detection member from the first state to the third state, when the rotation angle of the detection member is 180 degrees, it can already cover all the space in the washing tub. When the rotation angle of the detection member is greater than 180 degrees, the detection range of the detection member will be out of the washing tub, resulting in the inability to detect the clothes. Therefore, it is necessary to control the rotation angle of the detection member to be less than or equal to 180 degrees.
[0056] The control method further includes step S400: controlling the operating parameters of the washing tub according to the material of the clothes and the type of dirt on the clothes. After the material type and the type of dirt of the clothes in the washing tub are determined according to the control method as described above, the operating parameters of the washing tub can be selectively controlled according to the material type and the type of dirt of the clothes in the washing tub and the program to be executed, so that the clothes can be properly treated, such as adjusting parameters such as water temperature and rotation speed. This personalized setting helps to protect the clothes from damage, while achieving the best cleaning effect and improving the user experience.
[0057] According to the second aspect of an embodiment of the present application, an electronic device is provided, comprising a memory and a processor, the memory being used to store a computer program; the processor being used to execute the computer program to implement the steps of the clothing processing method of any of the above-mentioned embodiments, and the electronic device having all the beneficial effects of the above-mentioned clothing processing method, which will not be repeated here.
[0058] According to the third aspect of an embodiment of the present application, a clothing processing device is provided, which has a washing drum for accommodating clothing and a detection component for detecting the material of clothing in the washing drum. The clothing processing device is used to execute the clothing processing method of any of the above-mentioned embodiments, or includes an electronic device as described above. The clothing processing device has all the beneficial effects of the above-mentioned control method, which will not be repeated here.
[0059] At least one fixed lifting rib may be provided on the inner wall of the washing tub, and the lifting rib is used to turn over the clothes in the washing tub. In the circumferential direction of the washing tub, a rotatable detection part is provided in at least one lifting rib. In this way, the lifting rib provided on the inner wall can drive the clothes to move and change the state of the clothes when the washing tub can rotate. At the same time, the change in the position of the lifting rib will also drive the position of the detection part to change, so that the detection part can detect different positions of the clothes. With the rotation of the detection part itself in the lifting rib, the accuracy of identifying different materials and types of dirt is further guaranteed.
[0060] A receiving groove may be provided in the lifting rib, and the detection member is located in the receiving groove, so that the outer wall of the receiving groove can protect the detection member, and also prevent the detection member from shifting during rotation or reciprocating rotation. At the same time, the detection member is arranged in the receiving groove, so as to avoid the detection member from being entangled with the clothes in the washing tub, and to avoid the detection member from affecting the movement of the clothes in the washing tub. At the same time, the detection member is located in the lifting rib, and the position of the detection member in the lifting rib can be changed, reducing the distance between the detection member and the clothes, which is conducive to improving the detection accuracy of the detection member on the clothes and improving the detection quality.
[0061] The lifting ribs may extend from the inner wall of the laundry treatment tub to the inside of the laundry treatment tub and have a certain height. The lifting ribs may be integrally formed with the laundry treatment tub, or may be connected to the inner wall of the laundry treatment tub by welding, screwing, etc. For ease of understanding, along the extension direction of the lifting ribs, the surface of the lifting ribs close to the inner center of the laundry treatment tub is the upper end surface of the lifting ribs, and the accommodating groove is opened from the upper end surface toward the inner wall of the laundry treatment tub.
[0062] The detection member can be an optical detection sensor, and the lifting rib has a shell, and the shell is at least partially made of transparent material to avoid blocking the signal of the detection member. The shell is at least partially made of transparent material, which ensures that the signal emitted by the detection member can pass through the shell and contact the clothes, so as to avoid blocking the signal emitted by the detection member. The detection member can include an emitter and a receiver, which are arranged in a side-by-side manner in the receiving groove, the emitter is used to emit an incident light signal into the clothes processing drum, and the receiver is used to receive the first light signal.
[0063] In some embodiments, a cover plate for sealing the receiving groove is provided on the lifting rib, and the cover plate is made of waterproof and light-transmissive material. By providing the cover plate, the receiving groove can be sealed so that water in the laundry treatment drum does not enter the receiving groove, thereby protecting the detection element from being soaked in water and increasing the service life of the detection element.
[0064] For example, Figure 3 As shown, in one implementation of the embodiment of the present application, the lifting rib includes a lifting rib upper cover 1, a lifting rib lower cover 2, a transparent refractive cover 3, an ultraviolet sensor transmitting end 4, an ultraviolet sensor receiving end 5 and a motor 6. The ultraviolet sensor transmitting end 4 and the ultraviolet sensor receiving end 5 are simultaneously driven by the motor to rotate around the axis of the output shaft of the motor 6. The detection member includes the ultraviolet sensor transmitting end 4 and the ultraviolet sensor receiving end 5, or further includes the motor 6.
[0065] like Figure 4The figure shows a schematic diagram of different states of the detection element (ultraviolet sensor) in one embodiment of the present application. At 0°, the sensor faces one side wall of the lifting rib, at 180°, the sensor faces the other side wall of the lifting rib, and at 90°, the sensor faces an upper cover of the lifting rib.
[0066] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.
Claims
1. A method for treating clothes, used in a clothes treating device, characterized in that: The clothing processing device has a washing tub for accommodating clothing, and the clothing processing device includes a detection member for detecting the material of clothing in the washing tub, the detection member is located inside the washing tub, and is used to collect a first light signal after the clothing diffusely reflects an incident light signal; the control method includes: Controlling the clothing processing device to execute a material detection phase; In the material detection stage, a plurality of first light signals are continuously acquired in the process of controlling the detection element to change the corresponding clothing position; The material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub are determined according to the plurality of the first light signals.
2. The clothes processing method according to claim 1, characterized in that: The determining of the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub according to the plurality of the first light signals includes: The material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub are determined according to the wavelengths of the first optical signals and the amplitude of the change in the wavelengths of the first optical signals.
3. The clothes processing method according to claim 2, characterized in that: When the wavelengths of N consecutive first light signals are smaller than a first preset value and the amplitude of the wavelength change of two adjacent first light signals is smaller than a second preset value, the wavelengths of the N first light signals are used to determine the type of dirt on the clothes in the washing tub; When the wavelengths of M consecutive first light signals are respectively greater than or equal to a first preset value and the change amplitude of the wavelengths of two adjacent first light signals is less than a third preset value, the wavelengths of the M first light signals are used to determine the material of the clothes in the washing tub. The first preset value is smaller than the second preset value, the second preset value is smaller than the third preset value, and N<M.
4. The clothes processing method according to claim 3, characterized in that: The wavelengths of N first optical signals are a first group of data, and the wavelengths of M first optical signals are a second group of data. The control method includes: Performing normal distribution analysis on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub, and / or, A discrete degree analysis is performed on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or to determine the material of the clothes in the washing tub.
5. The clothes processing method according to claim 4, characterized in that: The performing normal distribution analysis on the plurality of the first sets of data and / or the plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or determine the material of the clothes in the washing tub includes: performing normal distribution analysis on a plurality of the first groups of data and / or a plurality of the second groups of data, dividing the plurality of the first groups of data and / or a plurality of the second groups of data into a plurality of continuous value intervals according to the values of the data, determining the type of dirt on the clothes in the washing tub and / or determining the material of the clothes in the washing tub according to the number of data contained in each value interval and the type of dirt on the clothes and / or the material of the clothes corresponding to each value interval, The performing discrete degree analysis on a plurality of the first sets of data and / or a plurality of the second sets of data to determine the type of dirt on the clothes in the washing tub and / or determining the material of the clothes in the washing tub includes: Perform a discrete degree analysis on multiple first sets of data and / or multiple second sets of data to obtain fluctuations of multiple first sets of data and / or multiple second sets of data, determine the type of dirt on the clothes in the washing tub, and / or determine the material of the clothes in the washing tub.
6. The method for treating clothes according to claim 1, characterized in that: The step of controlling the clothing processing device to perform material detection includes: According to the weight M of the clothes of the material to be detected, the number of times the clothes processing device performs the material detection stage is controlled.
7. The clothes processing method according to claim 6, characterized in that: The greater the weight M is, the more times the clothing processing device is controlled to execute the material detection stage.
8. The clothes processing method according to claim 1, characterized in that: The inner wall of the washing tub is provided with lifting ribs, the lifting ribs are used to turn over the clothes in the washing tub, the detection member is rotatably arranged in the lifting ribs, and a plurality of the lifting ribs are arranged in the circumference of the washing tub; In the material detection stage, in the process of controlling the detection element to change the corresponding clothing position, continuously acquiring a plurality of first light signals includes: When the washing tub does not rotate, the detecting member is controlled to reciprocate in the lifting rib to change the position of the clothes corresponding to the detecting member, so as to obtain the wavelength of the first light signal of the clothes in the washing tub.
9. The clothes processing method according to claim 8, characterized in that: During the reciprocating rotation of the detection member, the detection member has a first state relative to the clothes on the first side of the lifting rib, a second state relative to the clothes on the upper surface of the lifting rib and a third state relative to the clothes on the second side of the lifting rib. During the rotation of the detection member from the first state to the third state, the rotation angle of the detection member is less than or equal to 180 degrees.
10. The clothes processing method according to claim 1, characterized in that: The method further includes: controlling operating parameters of the washing tub according to the material of the clothes and the type of dirt on the clothes.
11. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store a computer program; and the processor is used to execute the computer program to implement the steps of the clothing processing method according to any one of claims 1 to 10.
12. A clothes processing device, characterized in that: The clothing processing device comprises a washing tub for accommodating clothing and a detection element for detecting the material of clothing in the washing tub. The clothing processing device is used to execute the clothing processing method described in any one of claims 1 to 10, or comprises the electronic device described in claim 11.
13. The clothes treating device according to claim 12, characterized in that: At least one fixed lifting rib is arranged on the inner wall of the washing tub, and the lifting rib is used to turn over the clothes in the washing tub. In the circumferential direction of the washing tub, a rotatable detection member is arranged in at least one of the lifting ribs.
14. The clothes treating device according to claim 13, characterized in that: The detection element is an optical detection sensor, and the lifting rib has a shell, which is at least partially made of a transparent material to avoid shielding the signal of the detection element.
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