Laundry treatment method, electronic device, and laundry treatment apparatus

Abstract

The embodiment of the application discloses a clothes processing method, an electronic device and a clothes processing device, a control method: controlling the clothes processing device to execute a material detection stage; in the material detection stage, in the process of controlling the detection piece to change the corresponding clothes position, a plurality of first light signals are continuously acquired; according to the plurality of first light signals, the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub are judged. Through the above technical solution, through the detection of the material of the clothes in the washing tub by the detection piece built in the clothes processing device, the material of the clothes can be automatically identified without manual judgment by the user, which not only saves the time of the user, 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 mode of the program according to the program, ensure that the clothes are properly processed, and avoid damage to the clothes caused by improper washing.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of clothes processing equipment, in particular to a clothes processing method, an electronic device and clothes processing equipment. BACKGROUND

[0002] In the related art, when a user performs a washing procedure on clothes through clothes processing equipment, the user usually needs to determine the material of the clothes and the type of stains on the clothes by himself / herself to determine the specific execution mode of the washing procedure. However, when there are many clothes, the type of stains on the clothes is also various, and it is difficult to ensure accuracy for the user to determine the material of the clothes and the type of stains on the clothes by himself / herself. When the specific execution mode of the washing procedure is determined, it is difficult to ensure that the clothes are properly processed while avoiding damage to the clothes, which affects the user's experience. SUMMARY

[0003] Embodiments of the present application provide a clothes processing method, an electronic device and a drum washing machine to solve the problem that it is difficult to determine the material of clothes and the type of stains on clothes when a user performs a washing procedure on clothes through clothes processing equipment in the related art.

[0004] According to a first aspect of embodiments of the present application, a clothes processing method is provided for clothes processing equipment having a washing drum accommodating clothes, the clothes processing equipment comprising a detection member for detecting the material of the clothes in the washing drum, the detection member being located inside the washing drum for collecting a first light signal after the clothes diffusely reflect an incident light signal; the control method comprising:

[0005] controlling the clothes processing equipment to perform a material detection phase;

[0006] In the material detection phase, a plurality of first light signals are continuously acquired in a process of controlling the detection member to change the corresponding position of the clothes.

[0007] According to the plurality of first light signals, the material of the clothes in the washing drum and / or the type of stains on the clothes in the washing drum is determined.

[0008] Optionally, the determination of the material of the clothes in the washing drum and / or the type of stains on the clothes in the washing drum according to the plurality of first light signals comprises:

[0009] According to the wavelength size of the plurality of first light signals and the wavelength variation amplitude of the plurality of first light signals, the material of the clothes in the washing drum and / or the type of stains on the clothes in the washing drum is determined.

[0010] Optionally, when the wavelengths of the N continuous first light signals are less than a first preset value and the variation range of the wavelengths of the two adjacent first light signals is less than a second preset value, the wavelengths of the N first light signals are used to determine the type of the dirt on the laundry in the washing tub.

[0011] When the wavelengths of the M continuous first light signals are greater than or equal to the first preset value respectively and the variation range of the wavelengths of the 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 laundry in the washing tub.

[0012] The first preset value is less than the second preset value, the second preset value is less than the third preset value, and N is less than M.

[0013] Optionally, the wavelengths of the N first light signals are first group data, and the wavelengths of the M first light signals are second group data.

[0014] The first group data and / or the second group data are subjected to normal distribution analysis to determine the type of the dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub.

[0015] The first group data and / or the second group data are subjected to discrete degree analysis to determine the type of the dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub.

[0016] Optionally, the normal distribution analysis of the first group data and / or the second group data to determine the type of the dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub comprises:

[0017] The first group data and / or the second group data are subjected to normal distribution analysis, and the first group data and / or the second group data are divided into several continuous numerical intervals according to the data values. The type of the dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub is determined according to the number of data in each numerical interval and the type of the dirt on the laundry and / or the material of the laundry corresponding to each numerical interval.

[0018] The discrete degree analysis of the first group data and / or the second group data to determine the type of the dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub comprises:

[0019] The degree of dispersion analysis is performed on the plurality of first groups of data and / or on the plurality of second groups of data, the fluctuation of the plurality of first groups of data and / or the plurality of second groups of data is obtained, the type of dirt on the clothes in the washing tub is determined, and / or the material of the clothes in the washing tub is determined.

[0020] Optionally, the controlling the clothes treatment apparatus to perform the material detection phase comprises:

[0021] According to the weight M of the clothes to be detected, the number of times of controlling the clothes treatment apparatus to perform the material detection phase is controlled.

[0022] Optionally, the greater the weight M is, the more the number of times of controlling the clothes treatment apparatus to perform the material detection phase is.

[0023] Optionally, 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 lifting ribs are arranged in the circumferential direction of the washing tub.

[0024] The first light signals are continuously obtained in the process of controlling the detection member to change the corresponding clothes position in the material detection phase.

[0025] In the case that the washing tub does not rotate, the detection member is controlled to reciprocally rotate in the lifting ribs to change the corresponding clothes position of the detection member, so as to obtain the wavelength of the first light signals of the clothes in the washing tub.

[0026] Optionally, in the process of reciprocally rotating the detection member, the detection member has a first state of being opposite to the clothes on the first side surface of the lifting rib, a second state of being opposite to the clothes on the upper surface of the lifting rib, and a third state of being opposite to the clothes on the second side surface of the lifting rib, and the angle of rotation of the detection member is less than or equal to 180 degrees in the process of rotating the detection member from the first state to the third state.

[0027] Optionally, the method further comprises: according to the material of the clothes and the type of dirt on the clothes, controlling the operation parameter of the washing tub.

[0028] According to a second aspect of the embodiments of the present application, an electronic device is provided, comprising a memory and a controller, the memory is used to store a computer program; the processor is used to execute the computer program to realize the steps of the clothes treatment method in any one of the above.

[0029] According to a third aspect of the embodiments of the present application, a laundry treating apparatus is provided, which has a washing tub for accommodating laundry and a detecting member for detecting a material of the laundry in the washing tub, and is configured to perform the laundry treating method according to any one of the above embodiments or includes the electronic device according to any one of the above embodiments.

[0030] Optionally, at least one fixed-position lifting rib is arranged on an inner wall of the washing tub, and the lifting rib is configured to lift the laundry in the washing tub, and at least one of the lifting ribs is internally provided with the rotatable detecting member in a circumferential direction of the washing tub.

[0031] Optionally, the detecting member is an optical detection sensor, and the lifting rib has a shell which is at least partially made of a transparent material to avoid blocking the signal of the detecting member.

[0032] Compared with the prior art, the scheme provided by the present application has the following beneficial effects:

[0033] According to the above technical scheme, before the user performs a washing procedure on the laundry, the laundry treating apparatus can be controlled to perform a material detection phase. In the material detection phase, the incident light signal will be diffusely reflected when it contacts the laundry. The diffusely reflected incident light signal will form a first light signal and be received by the detecting member. Compared with the incident light signal, the first light signal will change. When the incident light signal contacts laundry of different materials, the first light signal generated will also change. That is, the material of the laundry in the washing tub can be determined through the first light signal. When the laundry is attached with dirt, and the incident light signal contacts the dirt, the incident light signal will also be diffusely reflected, and the first light signal generated will also change. That is, the type of the dirt in the washing tub can also be determined through the first light signal. In the present application, the material of the laundry in the washing tub can be automatically identified through the detecting member built in the laundry treating apparatus, without the need for the user to manually determine the material. This not only saves the time of the user, but also greatly improves the accuracy of material identification. After the material of the laundry and the type of the dirt are determined, the laundry treating apparatus can determine the specific execution mode of the program according to the program, so as to ensure that the laundry is properly treated, and the laundry is not damaged due to improper washing. At the same time, in the material detection phase, a plurality of first light signals are continuously obtained, so as to ensure the accuracy of the determination of the material of the laundry and the type of the dirt.

[0034] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is a flow chart of a control method provided by the embodiments of the present application;

[0036] Figure 2is a flow chart of another control method provided by an embodiment of the present application;

[0037] Figure 3 is a structural schematic diagram of a lifting rib provided by an embodiment of the present application;

[0038] Figure 4 is a schematic diagram of different states of a detection member provided by an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art 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, " / " represents the meaning of or, for example, A / B can represent A or B; "and / or" herein only represents a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, "first", "second", etc. are used to distinguish the same items or similar items with basically the same function and role. The skilled in the art can understand that "first", "second", etc. do not limit the quantity and execution order, and "first", "second", etc. also do not limit the difference.

[0041] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0042] In the related art, when a user performs a washing procedure on clothes through a clothes treatment device, the user usually needs to judge the material of the clothes and the type of dirt on the clothes by himself / herself, and determine the specific execution mode of the washing procedure. However, when there are many clothes, the type of dirt on the clothes is also more, and it is difficult to ensure accuracy for the user to judge the material of the clothes and the type of dirt on the clothes by himself / herself. When determining the specific execution mode of the washing procedure, it is difficult to ensure that the clothes are properly treated while avoiding damage to the clothes, which affects the user's use experience.

[0043] According to a first aspect of the embodiments of the present application, as shown in Figure 1 and Figure 2 A laundry treatment method is provided for a laundry treatment apparatus having a washing tub accommodating laundry, the laundry treatment apparatus comprising a detection member for detecting a material of the laundry in the washing tub, the detection member being located inside the washing drum for collecting a first light signal after the laundry diffuses an incident light signal; the control method comprises: step S100: controlling the laundry treatment apparatus to perform a material detection phase; step S200: during the material detection phase, continuously acquiring a plurality of first light signals in the process of controlling the detection member to change the corresponding position of the laundry; step S300: determining the material of the laundry in the washing tub and / or the type of dirt on the laundry in the washing tub according to the plurality of first light signals.

[0044] Through the above technical solution, before the user performs the washing process on the laundry, the laundry treatment apparatus can be controlled to perform a material detection phase, in which the incident light signal will be diffused when it comes into contact with the laundry, and the diffused incident light signal will form a first light signal and be received by the detection member. Compared with the incident light signal, the first light signal will change, and the first light signal produced when the incident light signal comes into contact with laundry of different materials will also change, i.e. the material of the laundry in the washing tub can be determined through the first light signal. When dirt is attached to the laundry and the incident light signal comes into contact with the dirt, it will also be diffused, and the first light signal produced will also change, i.e. the type of dirt in the washing tub can also be determined through the first light signal. In the present application, the detection member built in the laundry treatment apparatus can automatically identify the material of the laundry by detecting the material of the laundry in the washing tub, without the need for the user to manually determine it, which not only saves the user's time, but also greatly improves the accuracy of material identification. After the material of the laundry and the type of dirt are determined, the laundry treatment apparatus can determine the specific execution mode of the program according to the program, to ensure that the laundry is properly treated and avoid damage to the laundry caused by improper washing. At the same time, during the material detection phase, a plurality of first light signals are continuously acquired, which ensures the accuracy of the determination of the material of the laundry and the type of dirt.

[0045] The step S300 can include a step S301 of judging the material of the laundry in the washing tub and / or the type of the dirt on the laundry in the washing tub according to the wavelength size of the plurality of first light signals and the variation amplitude of the wavelength of the plurality of first light signals. In the material detection stage, the incident light signal will be diffused when it contacts the laundry, the diffused incident light signal will form the first light signal and will be received by the detection piece, the wavelength of the first light signal will change compared to the wavelength of the incident light signal, the wavelength as an important characteristic of the light signal can reflect the absorption and reflection characteristics of different materials and dirt to light, the wavelength of the first light signal produced when the incident light signal contacts the laundry of different materials will also be different, so that the material of the laundry in the washing tub can be judged through the wavelength of the first light signal. When the dirt is attached to the laundry and the incident light signal contacts the dirt, the incident light signal will also be diffused, the wavelength of the first light signal produced will also change, that is, the type of the dirt in the washing tub can also be judged through the wavelength of the first light signal. Through the variation amplitude of the wavelength of the plurality of first light signals, it can be judged whether the wavelength of the first light signal has changed abruptly, whether the wavelength of the first light signal obtained is abnormal data, and the interference of abnormal data can be excluded. The accuracy of the wavelength of the first light signal obtained is ensured, and the inaccuracy of the judgment of the material of the laundry and the type of the dirt caused by the interference of the light signal is avoided. Taking the wavelength data of ten first light signals as an example, when nine wavelength data in the ten wavelength data are in the first range and only one data is in the second range, it is explained that the wavelength data in the second range is not accurate enough due to the interference of other factors and is abnormal data that can be excluded.

[0046] The incident light signal mentioned above can be emitted by the detection piece itself, and can also be an element that is also arranged in the washing tub and can emit a light signal.

[0047] Specifically, when the wavelengths of the continuous N first light signals are less than a first preset value and the variation range of the wavelengths of the adjacent two first light signals is less than a second preset value, the wavelengths of the N first light signals are used to determine the type of the dirt on the clothes in the washing tub; when the wavelengths of the continuous M first light signals are greater than or equal to the first preset value respectively and the variation range of the wavelengths of the adjacent two 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, 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, and the wavelength conditions of the continuous N and M first light signals, the accurate distinction of the material of the clothes and the type of the dirt is realized. The wavelength of light in different media is different, and generally, the wavelength of the first light signal generated by the contact with the clothes is generally greater than the wavelength of the first light signal generated by the contact with the dirt, because the clothes have a larger coverage and are more likely to occur diffuse reflection. The first preset value herein 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 the type of the dirt. The size of the first preset value can be adaptively designed according to the actual situation, for example, when the maximum value of the wavelength of the first light signal formed by the contact of the incident light signal with the dirt and the diffuse reflection is A, and when the minimum value of the wavelength of the first light signal formed by the contact of the incident light signal with the clothes and the diffuse reflection is B, then at this time, the first preset value can be any one value between A and B as the first preset value.

[0048] Meanwhile, since the dirt is attached to the clothes, the variation range of the wavelength of the first light signal formed by the contact of the incident light signal with different types of dirt is small. Since the wavelength of light in different media is different, the variation range of the wavelength of the first light signal formed by the contact of the incident light signal with different materials of clothes is also large, so the second preset value is less than the third preset value. Meanwhile, the clothes have a larger coverage, so N < M.

[0049] When the wavelengths of the continuous N first light signals are less than the first preset value and the variation range of the wavelengths of the adjacent two first light signals is less than the second preset value, it indicates that the detection at this time is the dirt attached to the clothes. When the wavelengths of the continuous M first light signals are greater than or equal to the first preset value respectively and the variation range of the wavelengths of the adjacent two first light signals is less than the third preset value, it indicates that the detection at this time is the material of the clothes. In the above determination of the material of the clothes or the type of the dirt, the determination is made through the wavelengths of the continuous N first light signals or the wavelengths of the continuous M first light signals. This determination method based on the continuous signals and the preset values effectively avoids the misjudgment caused by the single signal fluctuation, and improves the accuracy and stability of the determination.

[0050] In some embodiments, the wavelengths of the N first light signals are a first set of data, the wavelengths of the M first light signals are a second set of data, and the control method comprises: performing normal distribution analysis on the plurality of first sets of data and / or on the plurality of second sets of data, determining the type of stains on the clothes in the washing tub, and / or determining the material of the clothes in the washing tub, and / or performing discrete degree analysis on the plurality of first sets of data and / or on the plurality of second sets of data, determining the type of stains on the clothes in the washing tub, and / or determining the material of the clothes in the washing tub. Through normal distribution analysis, the collected first light 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 stain or a specific material) can more accurately identify the material and stain type of the clothes, improving the reliability and accuracy of the detection results. Discrete degree analysis focuses on the fluctuation of the data, i.e., the difference between individual data points. By evaluating the dispersion of these data, the judgment of the material and stain type of the clothes can be refined. If the discrete degree of a group of data is small, it means that the data is concentrated, which is of the same type of material or stain; on the contrary, a larger discrete degree may indicate the presence of a mixture of different types. This further improves the reliability and accuracy of the detection results.

[0051] In some embodiments, when performing normal distribution analysis on the plurality of first sets of data and / or on the plurality of second sets of data, the plurality of first sets of data and / or the plurality of second sets of data can be divided into several continuous numerical intervals according to the numerical values of the data, and the type of stains on the clothes in the washing tub and / or the material of the clothes in the washing tub can be determined according to the number of data contained in each numerical interval and the type of stains on the clothes and / or the material of the clothes corresponding to each numerical interval. Taking normal distribution analysis on the plurality of first sets of data as an example, the plurality of first sets of data can be entered into a coordinate graph and form a histogram or a curve with several continuous intervals as the horizontal coordinates and the number of data as the vertical coordinates, and the type of stains on the clothes in the washing tub can be determined according to the fluctuation of the histogram and the curve. Taking an example in which the plurality of first sets of data includes a total of 100 data, there are 40 data in the numerical interval representing coffee stains on the clothes, and there are 20 data in the numerical interval representing oil stains on the clothes, at this time, it can be determined that the clothes are attached with coffee stains and tea stains, and further according to the number of data, it can be determined that the proportion of coffee stains and tea stains attached to the clothes is 2:1. Data that does not fall into the numerical interval representing the type of stains can be regarded as error data, avoiding the influence of error data on the detection results.

[0052] In some embodiments, the first plurality of data and / or the second plurality of data can be analyzed to determine the type of dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub. In some embodiments, the first plurality of data and / or the second plurality of data can be analyzed to determine the type of dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub by obtaining the fluctuation of the first plurality of data and / or the second plurality of data. In some embodiments, the second plurality of data can be analyzed to determine the type of dirt on the laundry in the washing tub and / or the material of the laundry in the washing tub by obtaining the fluctuation of the second plurality of data. For example, the second plurality of data can include 40 data. The first 17 data can fluctuate within a range of values representing a material of the laundry as synthetic fiber. The next 20 data can fluctuate within a range of values representing a material of the laundry as cotton or hemp. In this case, the laundry in the washing tub can include both synthetic fiber and cotton or hemp. The ratio of the synthetic fiber to the cotton or hemp can be 17:20.

[0053] The step S100 can include a step S101 of controlling the number of times that the laundry treating apparatus performs the material detection phase according to the weight M of the laundry to be detected. The detection frequency is adjusted according to the total amount of the laundry so that the laundry can be sufficiently detected even if the amount of the laundry is large. Specifically, the greater the weight M, the more the number of times that the laundry treating apparatus performs the material detection phase is controlled. By increasing the number of detections under a heavy load, the recognition accuracy of different materials and types of dirt is improved, and misjudgment is reduced.

[0054] The inner wall of the washing tub can be provided with lifting ribs for tumbling the laundry in the washing tub. The detection member is rotatably arranged in the lifting ribs. A plurality of lifting ribs are arranged in the circumferential direction of the washing tub. The step S200 can include a step S201 of controlling the detection member to reciprocally rotate in the lifting ribs to change the position of the laundry corresponding to the detection member to obtain the wavelength of the first light signal of the plurality of laundries in the washing tub without rotating the washing tub. In this way, even if the washing tub does not rotate, the detection member can reciprocally rotate in the lifting ribs to change the position of the laundry corresponding to the detection member. The detection range of the detection member is wider, and the recognition accuracy of different materials and types of dirt is ensured. At the same time, the lifting ribs arranged on the inner wall can move the laundry and change the state of the laundry when the washing tub can rotate. The detection member can detect different positions of the laundry. The reciprocating rotation of the detection member in the lifting ribs further ensures the recognition accuracy of different materials and types of dirt.

[0055] In the process of reciprocating rotation of the detection piece, the detection piece has a first state of being opposite to clothes on the first side surface of the lifting rib, a second state of being opposite to clothes on the upper surface of the lifting rib, and a third state of being opposite to clothes on the second side surface of the lifting rib, and in the process of rotating from the first state to the third state, the detection piece rotates by an angle less than or equal to 180 degrees. Taking the washing tub as a common cylindrical shape as an example, when the detection piece rotates by an angle of 180 degrees in the process of rotating from the first state to the third state, all the space in the washing tub can be covered, and when the detection piece rotates by an angle greater than 180 degrees, the detection range of the detection piece will deviate from the washing tub, so that the clothes cannot be detected, and therefore the angle of rotation of the detection piece needs to be controlled to be less than or equal to 180 degrees.

[0056] The control method further comprises a step S400 of controlling the operation parameters of the washing tub according to the material of the clothes and the type of stains on the clothes. After determining the material type of the clothes and the type of stains in the washing tub according to the control method as described above, the operation parameters of the washing tub can be selectively controlled according to the determined material type of the clothes and the type of stains in the washing tub and the program to be executed, so that the clothes can be properly treated, such as adjusting the water temperature, the rotation speed and other parameters. Such personalized setting helps to protect the clothes from damage while achieving the best cleaning effect and improving the user experience.

[0057] According to a second aspect of the embodiments of the present application, an electronic device is provided, comprising a memory and a processor, the memory is used to store a computer program; the processor is used to execute the computer program to realize the steps of the clothes treatment method of any one of the above embodiments. The electronic device has all the beneficial effects of the clothes treatment method, which will not be repeated here.

[0058] According to a third aspect of the embodiments of the present application, a clothes treatment device is provided, which has a washing drum for accommodating clothes and a detection piece for detecting the material of the clothes in the washing drum, and is used to execute the clothes treatment method of any one of the above embodiments or comprises the electronic device as described above. The clothes treatment device has all the beneficial effects of the control method, which will not be repeated here.

[0059] At least one lifting rib fixed in position can be 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, at least one lifting rib is arranged with a rotatable detection piece. In this way, by arranging the lifting rib on the inner wall, the clothes can be moved and the state of the clothes can be changed when the washing tub can rotate. At the same time, the change of the position of the lifting rib also causes the position of the detection piece to change, so that the detection piece can detect different positions of the clothes, and further ensure the identification accuracy of different materials and stain types by cooperating with the rotation of the detection piece in the lifting rib.

[0060] The accommodating groove can be arranged in the lifting rib, and the detection member is located in the accommodating groove. In this way, the outer wall of the accommodating groove can protect the detection member, and the detection member will not be displaced during rotation or reciprocating rotation. Meanwhile, the detection member is arranged in the accommodating groove, so that the detection member is prevented from being entangled with the clothes in the washing tub, and the movement of the clothes in the washing tub is not affected by the detection member. Meanwhile, the detection member is located in the lifting rib, and the position of the detection member in the lifting rib can be changed to reduce the distance between the detection member and the clothes, thereby improving the detection precision of the detection member on the clothes and improving the detection quality.

[0061] The lifting rib can extend from the inner wall of the clothes treatment drum to the inside of the clothes treatment drum and has a certain height. The lifting rib can be integrally formed with the clothes treatment drum or connected to the inner wall of the clothes treatment drum by welding, screwing or the like. For ease of understanding, along the extension direction of the lifting rib, the face of the lifting rib close to the center of the inside of the clothes treatment drum is the upper end face of the lifting rib, and the accommodating groove is arranged from the upper end face to the inner wall of the clothes treatment drum.

[0062] The detection member can be an optical detection sensor, and the lifting rib has a shell composed at least partially of a transparent material to avoid blocking the signal of the detection member. The shell composed at least partially of a transparent material ensures that the signal emitted by the detection member can pass through the shell and contact the clothes, thereby avoiding blocking the signal emitted by the detection member. The detection member can include an emitter and a receiver, which are arranged in the accommodating groove in a side-by-side manner. The emitter is used to emit incident light signals into the clothes treatment drum, and the receiver is used to receive the first light signals.

[0063] In some embodiments, the lifting rib is provided with a cover plate for covering the accommodating groove, and the cover plate is made of a waterproof and light-transmitting material. By arranging the cover plate, the accommodating groove can be sealed, so that water in the clothes treatment drum cannot enter the accommodating groove, thereby protecting the detection member from being soaked and damaged by water and prolonging the service life of the detection member.

[0064] As shown in Figure 3 As shown in

[0065] As shown in Figure 4The diagram shows different states of the detection element (ultraviolet sensor) in one embodiment of this 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 one top cover of the lifting rib.

[0066] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A garment processing method, used in garment processing equipment, characterized in that, The garment processing equipment has a washing tub for containing garments, and includes a detection device for detecting the material of the garments inside the washing tub. The detection device is located inside the washing tub and is used to collect the first light signal after the garments diffusely reflect the incident light signal. The garment processing method includes: Control the garment processing equipment to perform the material detection stage; During the material detection stage, multiple first light signals are continuously acquired while controlling the detection component to change the corresponding clothing position. Based on multiple first optical signals, determine the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub; The step of determining the material of the clothing in the washing tub and / or the type of dirt on the clothing in the washing tub based on multiple first optical signals includes: Based on the wavelength magnitude of the multiple first optical signals and the variation amplitude of the wavelength of the multiple first optical signals, determine the material of the clothes in the washing tub and / or the type of dirt on the clothes in the washing tub; Wherein, when the wavelength of N consecutive first optical signals is less than a first preset value and the change amplitude of the wavelength of two adjacent first optical signals is less than a second preset value, the wavelength of the N first optical signals is used to determine the type of dirt on the clothes in the washing tub. When the wavelengths of M consecutive first optical signals are each greater than or equal to a first preset value, and the wavelength variation between two adjacent first optical signals is less than a third preset value, the wavelengths of the M first optical signals are used to determine the material of the clothing 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.

2. The clothing treatment method according to claim 1, characterized in that, The wavelengths of N first optical signals constitute the first set of data, and the wavelengths of M first optical signals constitute the second set of data. The clothing processing method includes: Perform normal distribution analysis on multiple sets of the first data and / or multiple sets of the second 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 Discreteness analysis is performed on multiple sets of the first set of data and / or multiple sets of the second set 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.

3. The clothing treatment method according to claim 2, characterized in that, The step of performing normal distribution analysis on multiple sets of the first data and / or multiple sets of the second 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 includes: Perform normal distribution analysis on multiple sets of the first data and / or multiple sets of the second data. Based on the data values, divide the multiple sets of the first data and / or multiple sets of the second data into several consecutive numerical intervals. Determine the type of dirt on the clothes in the washing tub and / or the material of the clothes in the washing tub based on the number of data points in each numerical interval and based on the type of dirt on the clothes and / or the material of the clothes corresponding to each numerical interval. The step of performing dispersion analysis on multiple sets of the first data and / or multiple sets of the second 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, includes: Discreteness analysis is performed on multiple sets of the first data and / or multiple sets of the second data to obtain the fluctuations of multiple sets of the first data and / or multiple sets of the second 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.

4. The clothing treatment method according to claim 1, characterized in that, The process of controlling the garment processing equipment to perform the material detection phase includes: The number of times the garment processing equipment performs the material detection stage is controlled based on the weight M of the garment material to be tested.

5. The clothing treatment method according to claim 4, characterized in that, The larger the weight M, the more times the garment processing equipment performs the material detection stage.

6. The clothing treatment method according to claim 1, characterized in that, The inner wall of the washing tub is provided with lifting ribs, which are used to tumble the clothes in the washing tub. The detection element is rotatably disposed in the lifting ribs. Multiple lifting ribs are provided in the circumference of the washing tub. During the material detection stage, while controlling the detection component to change the corresponding clothing position, multiple first optical signals are continuously acquired, including: When the washing tub is not rotating, the detection element is controlled to reciprocate within the lifting rib to change the position of the clothes corresponding to the detection element, so as to obtain the wavelength of the first optical signal of the clothes in the multiple washing tubs.

7. The clothing treatment method according to claim 6, characterized in that, During the reciprocating rotation of the detection element, the detection element has a first state in which the clothing on the first side of the lifting rib is opposite, a second state in which the clothing on the upper surface of the lifting rib is opposite, and a third state in which the clothing on the second side of the lifting rib is opposite. During the process of the detection element rotating from the first state to the third state, the angle of rotation of the detection element is less than or equal to 180 degrees.

8. The clothing treatment method according to claim 1, characterized in that, The method further includes controlling the operating parameters of the washing tub according to the material of the clothing and the type of dirt on the clothing.

9. An electronic device, characterized in that, The device includes 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 1-8.

10. A garment processing device, characterized in that, The garment processing equipment has a washing tub for containing garments and a detection device for detecting the material of the garments in the washing tub. The garment processing equipment is used to perform the garment processing method according to any one of claims 1-8, or includes the electronic equipment as described in claim 9.

11. The garment processing equipment according to claim 10, characterized in that, At least one fixed lifting rib is provided on the inner wall of the washing tub. The lifting rib is used to turn the clothes in the washing tub. In the circumferential direction of the washing tub, at least one of the lifting ribs is provided with a rotatable detection element.

12. The garment processing equipment according to claim 11, 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 obstructing the signal of the detection element.

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