Clothing material identification methods, equipment control methods, and clothing processing equipment

Abstract

This application discloses a method for identifying clothing materials, a device control method, and a clothing processing device, belonging to the technical field of material identification. The clothing material identification method includes estimating the material of a load within a processing cylinder to obtain a predicted material type; controlling a photodetector at a target position to collect diffusely reflected light signals from the load to obtain diffuse reflection parameter values; determining the position of a target photodetector for material detection of the load based on the difference between the diffuse reflection parameter values ​​and the diffuse reflection parameter range corresponding to the predicted material type; and controlling the processing cylinder to position the target photodetector at the target position to perform material detection on the load, thereby obtaining the actual material type of the load. This application embodiment has the technical effect of improving material detection efficiency.

Description

Technical Field

[0001] This application relates to the field of material identification, and more specifically, to a method for identifying clothing materials, a device control method, and a clothing processing device. Background Technology

[0002] Clothing processing equipment is an indispensable part of daily life, capable of performing processes such as washing, spin-drying, drying, and conditioning on clothes, greatly improving the convenience of clothing handling. With technological advancements and increasing user demands, the precision of clothing processing equipment has also improved. Taking washing machines as an example, current models typically identify the material of the clothes before processing, allowing for the use of different operating parameters for different materials, thus improving the processing effect.

[0003] However, most current material identification methods rely on photography techniques and require constantly turning over clothing or adjusting the shooting angle to ensure the accuracy of material identification, which reduces the efficiency of material identification. Summary of the Invention

[0004] This application provides a method for identifying clothing materials, a device control method, and a clothing processing device to at least solve the technical problem of low efficiency in identifying clothing materials.

[0005] According to a first aspect of the embodiments of this application, a method for identifying clothing materials is provided, applied to a clothing processing device. The clothing processing device includes a processing cylinder, and the processing cylinder is provided with a plurality of photodetectors. Different photodetectors are used to detect different material types. The method includes:

[0006] The material of the load inside the processing cylinder is estimated to obtain the predicted material type;

[0007] The photodetector at the target position collects the light signal that is diffusely reflected by the load to obtain the diffuse reflection parameter value;

[0008] Based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type, the position of the target photodetector for material detection of the load is determined;

[0009] The processing cylinder is controlled so that the target light detection element is positioned at the target location to perform material detection on the load, thereby obtaining the actual material type of the load.

[0010] Based on the above, the material of the load is first estimated. Then, the position of the target photodetector for detecting the clothing material is determined by the diffuse reflection parameter value collected by the photodetector at the target location. Finally, the processing cylinder is controlled to rotate the target photodetector to the target position to detect the material of the load. This method allows for rapid detection of clothing materials using the target photodetector, improving the efficiency of clothing material identification. Furthermore, because the material type detected by the target photodetector corresponds to the clothing, the accuracy of clothing material identification is improved.

[0011] In conjunction with the first aspect, in an optional implementation of this application embodiment, determining the position of the target photodetector for material detection of the load based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type includes:

[0012] If the diffuse reflection parameter value is within the diffuse reflection parameter range corresponding to the predicted material type, then there is no difference, and the target light detection device is determined to be at the target position.

[0013] If the diffuse reflection parameter value is not within the diffuse reflection parameter range corresponding to the predicted material type, it indicates a difference. The position of the target light detector is determined based on the preset positional relationship between the light detector currently at the target position and other light detectors.

[0014] As described above, since the positions of multiple photodetectors are fixed or known in advance, once it is known which photodetector is currently at the target position, the position of the target photodetector can be determined by utilizing the preset positional relationship between that photodetector and other photodetectors, thus improving the efficiency and accuracy of determining the position of the target photodetector.

[0015] In conjunction with the first aspect, in an optional implementation of the embodiments of this application, the plurality of photodetectors have the preset positional relationship, different photodetectors are used to detect different material types, and different material types correspond to different diffuse reflection parameter ranges;

[0016] Determining the position of the target photodetector based on the preset positional relationship between the photodetector currently at the target position and other photodetectors includes:

[0017] The angle between the target light detector used to detect the predicted material type and the light detector currently located at the target position is determined from the preset positional relationship, and the position of the target light detector is obtained.

[0018] Based on the above, by determining the angle value, the rotation of the processing cylinder can be controlled according to the angle value, and the target light detection component can be rotated to the target position, which helps to improve the recognition efficiency of clothing material.

[0019] In conjunction with the first aspect, in one optional implementation of the embodiments of this application, controlling the processing cylinder includes:

[0020] If the target light detection element is at the target position, then the processing cylinder is controlled to remain stationary;

[0021] If the target light detection element is not at the target position, the processing cylinder is controlled to rotate according to the angle value.

[0022] The above approach is logically simple, easy to control, and reduces the consumption of computing resources.

[0023] In conjunction with the first aspect, in an optional implementation of this application embodiment, estimating the material of the load inside the processing cylinder to obtain the predicted material type includes:

[0024] Obtain the load volume and load mass inside the processing cylinder;

[0025] The mixed load density of the load is determined based on the load volume and load mass.

[0026] The predicted material type is determined based on the mixed load density and a preset density ratio formula.

[0027] Based on the above, using the load density, i.e., the mixed load density, to estimate the material type of the load helps improve the accuracy of predicting the material type.

[0028] In conjunction with the first aspect, in an optional implementation of this application embodiment, determining the predicted material type based on the mixed load density and a preset density ratio formula includes:

[0029] Substituting the mixed load density into the density ratio formula yields at least one of the predicted material types;

[0030] The density ratio formula is ρ=k1*ρ1±k2*ρ2±k3*ρ3±……±kn*ρn;

[0031] Where ρ is the mixed load density, ρ1 to ρn are the load densities of different material types, k1 to kn are proportionality constants and integers, and n is a positive integer;

[0032] Wherein, ρ1 to ρn are known quantities, and after substituting into ρ, at least one of k1 to kn is randomly assigned a value until both sides of the equation are equal. The material type corresponding to the one of ρ1 to ρn that satisfies the condition is taken as the predicted material type. The condition is that the proportional constant is not 0 and is not a negative integer.

[0033] The above methods simplify the calculation process, conserve computing resources, and improve the accuracy of predicting material types.

[0034] In conjunction with the first aspect, in one optional implementation of the embodiments of this application, the clothing processing device is provided with a light-emitting element;

[0035] The step of obtaining the load volume inside the processing cylinder includes:

[0036] Obtain the first light intensity of the reflected light from the illumination element in the empty tube of the processing cylinder;

[0037] The volume of the empty cylinder is obtained based on the first light intensity and the preset correspondence between light intensity and volume.

[0038] The second light intensity of the reflected light from the illumination element is obtained after the load is placed inside the processing cylinder;

[0039] The load volume is obtained based on the intensity difference between the first light intensity and the second light intensity, the first light intensity, and the volume of the empty cylinder.

[0040] The above methods demonstrate that using light intensity to calculate load volume can improve the accuracy of load volume calculation, thereby increasing the accuracy of predicting material type.

[0041] In conjunction with the first aspect, in an optional implementation of this application embodiment, obtaining the load volume based on the intensity difference between the first light intensity and the second light intensity, the first light intensity, and the volume of the empty cylinder includes:

[0042] The load volume is obtained by comparing the light intensity difference with the first light intensity and then multiplying it by the volume of the empty cylinder.

[0043] The above content simplifies the calculation process and helps save computing resources.

[0044] In conjunction with the first aspect, in an optional implementation of the embodiments of this application, the method further includes:

[0045] The mass of the load is obtained based on the change in current of the driver before and after the processing cylinder is placed into the load, wherein the driver is used to drive the processing cylinder to rotate.

[0046] The above information demonstrates how using driver parameters to calculate load quality can help improve the accuracy of load quality calculations.

[0047] In conjunction with the first aspect, in an optional implementation of the embodiments of this application, the method further includes: determining a photodetector capable of detecting the predicted material type as the target photodetector;

[0048] The control of the processing cylinder to position the target optical detection element at the target position for material detection of the load includes:

[0049] When there are multiple target light detection elements, the processing cylinder is controlled so that the multiple target light detection elements are positioned one by one at the target position and perform material detection on the load.

[0050] As described above, multiple target light detectors are positioned at the target location for detection, which allows multiple target light detectors to detect clothing of different materials, thereby improving the comprehensiveness of material detection and the accuracy of detection for each material.

[0051] In conjunction with the first aspect, in an optional implementation of the embodiments of this application, when the number of target light detectors is multiple, controlling the processing cylinder so that the multiple target light detectors are successively positioned at the target position includes:

[0052] If the photodetector currently at the target position is one of a plurality of target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the target photodetector currently at the target position and the other target photodetectors, so that the plurality of target photodetectors are successively at the target position;

[0053] If the photodetector currently at the target position is not one of the multiple target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the photodetector currently at the target position and the multiple target photodetectors, so that the multiple target photodetectors are successively at the target position.

[0054] Based on the above, the rotation angle of the processing cylinder is controlled by whether the light detection element at the target position belongs to the target light detection element, which helps to improve the efficiency of controlling each target light detection element to be in the target position.

[0055] According to a second aspect of the embodiments of this application, a control method for a garment processing device is provided. After obtaining the actual material type of the garment using the above-described garment material identification method, the operating mode and / or operating parameters are adjusted according to the actual material type to process the load.

[0056] According to a second aspect of the embodiments of this application, a garment processing device is provided, which employs the garment material identification method or the control method described above.

[0057] In conjunction with the second aspect, in one optional implementation of the embodiments of this application, an incandescent lamp as a light source is installed on the observation window of the garment processing device, and multiple light detection elements are installed inside the processing cylinder of the garment processing device.

[0058] In conjunction with the second aspect, in one optional implementation of the embodiments of this application, the processing cylinder is provided with a plurality of lifting ribs, and the plurality of optical detection elements are installed in different lifting ribs.

[0059] The technical effects achieved by the second and third aspects mentioned above are similar to those achieved by the corresponding technical means in the first aspect, and will not be repeated here. Attached Figure Description

[0060] Figure 1 This is a flowchart of a clothing material identification method provided in an embodiment of this application;

[0061] Figure 2 This is an application flowchart of a clothing material identification method provided in an embodiment of this application. Detailed Implementation

[0062] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0063] It should be understood that "multiple" as mentioned herein refers to two or more. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first," "second," etc., are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or execution order, and the terms "first," "second," etc., do not necessarily imply differentness.

[0064] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.

[0065] This application provides a method for identifying clothing materials, applied to a clothing processing device. The clothing processing device includes a processing cylinder, within which multiple optical detectors are installed. Different optical detectors are used to detect different material types. (Refer to...) Figure 1 The flowchart shown is a method for identifying clothing materials. The method includes the following processing steps.

[0066] S100. Estimate the material of the load inside the processing cylinder to obtain the predicted material type.

[0067] This embodiment does not specifically limit the estimation method. The user can input the predicted material type to complete the estimation process, or the estimation can be performed using parameters such as the weight of the load, water absorption, water absorption rate, or density.

[0068] For ease of understanding, the material type of clothing can include cotton, linen, wool, polyester, synthetic fibers, and silk. Since there may be multiple pieces of clothing in the processing drum, the predicted material type can also include multiple types. For example, if the predicted material type includes cotton and wool, it proves that the estimated result is that there are cotton and wool clothing in the processing drum.

[0069] S102. The light detection device at the target position collects the light signal that is diffusely reflected by the load and obtains the diffuse reflection parameter value.

[0070] The photodetector emits a light signal. When this light signal comes into contact with the load, diffuse reflection occurs. The photodetector collects the diffusely reflected light signal and obtains the diffuse reflection parameter value. It should be noted that the diffuse reflection parameter value can be the light intensity and / or wavelength of the light signal, or it can be a value calculated from the light intensity and / or wavelength. This embodiment does not limit the specific algorithm for calculating the diffuse reflection parameter value, as long as the calculation ensures that the diffuse reflection parameter values ​​corresponding to different material types fall within different intervals. For example, after weighted calculation, the diffuse reflection parameter value for cotton belongs to interval A1, linen to interval A2, and so on.

[0071] S104. Based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type, determine the position of the target photodetector for material detection of the load.

[0072] Since different material types correspond to different diffuse reflection parameter ranges, the obtained diffuse reflection parameter values ​​will fall within a specific range. By comparing the diffuse reflection parameter range of the obtained values ​​with the range corresponding to the predicted material type, the differences can be determined. Firstly, the differences can determine whether the diffuse reflection parameter range of the obtained values ​​matches the range of the predicted material type. Secondly, the diffuse reflection parameter values ​​can also determine which material type the photodetector at the target location is used to acquire data from.

[0073] S106. Control the processing cylinder to position the target light detection component at the target position to perform material detection on the load and obtain the actual material type of the load.

[0074] In one embodiment, controlling the processing cylinder includes controlling its rotation or stillness, with the aim of rotating the target photodetector to a target position. Preferably, the target position is the bottom position of the processing cylinder.

[0075] Based on the above, the material of the load is first estimated. Then, the position of the target photodetector for detecting the clothing material is determined by the diffuse reflection parameter value collected by the photodetector at the target location. Finally, the processing cylinder is controlled to rotate the target photodetector to the target position to detect the material of the load. This method allows for rapid detection of clothing materials using the target photodetector, improving the efficiency of clothing material identification. Furthermore, because the material type detected by the target photodetector corresponds to the clothing, the accuracy of clothing material identification is improved.

[0076] In one possible embodiment of this application, the location of the target photodetector for material detection of the load is determined based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type, including:

[0077] If the diffuse reflection parameter value is within the diffuse reflection parameter range corresponding to the predicted material type, then there is no difference in characterization, and the target light detection component is determined to be at the target position.

[0078] If the diffuse reflection parameter value is not within the diffuse reflection parameter range corresponding to the predicted material type, then there is a difference in characterization. Based on the preset positional relationship between the photodetector currently at the target position and other photodetectors, the position of the target photodetector is determined.

[0079] The differences include no difference and differences. When there is no difference, it proves that the diffuse reflection parameter value is in the same diffuse reflection parameter range as the predicted material type, that is, the light detection device at the target location is the target light detection device. When there is a difference, it is necessary to determine the location of the target light detection device.

[0080] As stated earlier, the optical detector at the target location is used to detect the type of material, which can be determined by the diffuse reflection parameter value it collects. Therefore, by combining the preset positional relationship, the position of the target optical detector can be determined.

[0081] For example, there are three photodetectors A, B, and C. A is used to detect cotton, B to detect linen, and C to detect wool. B is located between A and C, and the three photodetectors are 120 degrees apart. When the photodetector at the target location is determined to be A, if the predicted material type is linen, then the target photodetector is determined to be B, and the position of B can be determined at this point.

[0082] As described above, since the positions of multiple photodetectors are fixed or known in advance, once it is known which photodetector is currently at the target position, the position of the target photodetector can be determined by utilizing the preset positional relationship between that photodetector and other photodetectors, thus improving the efficiency and accuracy of determining the position of the target photodetector.

[0083] Optionally, in one implementation of this embodiment, multiple photodetectors have a preset positional relationship, different photodetectors are used to detect different material types, and different material types correspond to different diffuse reflection parameter ranges;

[0084] Based on the preset positional relationship between the photodetector currently at the target position and other photodetectors, the position of the target photodetector is determined, including:

[0085] The angle between the target light detector and the light detector currently at the target position is determined from the preset positional relationship, thus obtaining the position of the target light detector.

[0086] Based on the above, by determining the angle value, the rotation of the processing cylinder can be controlled according to the angle value, and the target light detection component can be rotated to the target position, which helps to improve the recognition efficiency of clothing material.

[0087] Optionally, in one implementation of this embodiment, the control processing cylinder includes:

[0088] If the target optical detection element is at the target position, the control processing cylinder remains stationary;

[0089] If the target light detection component is not in the target position, the processing cylinder is controlled to rotate according to the angle value.

[0090] The above approach is logically simple, easy to control, and reduces the consumption of computing resources.

[0091] In one embodiment, if it is impossible to determine which photodetector is at the target location based on the collected diffuse reflection parameter values, the deviation between the diffuse reflection parameter range corresponding to the diffuse reflection parameter values ​​and the diffuse reflection parameter range corresponding to the predicted material type can be calculated, and the distance between the target photodetector and the target location can be determined based on the deviation value.

[0092] Optionally, in one implementation of this embodiment, the material of the load inside the processing cylinder is estimated to obtain the predicted material type, including:

[0093] Obtain the load volume and load mass inside the processing cylinder;

[0094] The mixed load density of the load is determined based on the load volume and load mass.

[0095] The predicted material type is determined based on the mixed load density and a preset density ratio formula.

[0096] In one embodiment, the load volume and load mass can be calculated or obtained in other ways, such as through user input or acquisition by other sensors.

[0097] Substituting the load volume and load mass into the density formula yields the mixed load density. It should be noted that the mixed load density is not necessarily the load density of mixed clothing, but it may represent the load density of mixed clothing.

[0098] Based on the above, using the load density, i.e., the mixed load density, to estimate the material type of the load helps improve the accuracy of predicting the material type.

[0099] Optionally, in one implementation of this embodiment, determining the predicted material type based on the mixed load density and a preset density ratio formula includes:

[0100] Substituting the mixed load density into the density ratio formula yields at least one predicted material type;

[0101] The density ratio formula is ρ=k1*ρ1±k2*ρ2±k3*ρ3±……±kn*ρn;

[0102] Where ρ is the mixed load density, ρ1 to ρn are the load densities of different material types, k1 to kn are proportionality constants and integers, and n is a positive integer;

[0103] Wherein, ρ1 to ρn are known quantities, and after substituting into ρ, at least one of k1 to kn is randomly assigned a value until both sides of the equation are equal. The material type corresponding to the one of ρ1 to ρn that satisfies the condition is taken as the predicted material type. The condition is that the proportional constant is not 0 and is not a negative integer.

[0104] For example, if the calculated density is 100 g / cm³, then the corresponding preset density of cotton is 45 g / cm³. 3 The density of silk is 15 g / cm³. 3 The density of wool is 40g / cm³. 3 Therefore, according to the current formula, the calculated result should be one piece of cotton, one piece of silk, and one piece of wool, so we can determine k1=1, k3=1, and k5=1.

[0105] The above methods simplify the calculation process, conserve computing resources, and improve the accuracy of predicting material types.

[0106] Optionally, in one implementation of this embodiment, the clothing processing device is provided with a light-emitting element;

[0107] Obtain the load volume inside the processing cylinder, including:

[0108] Obtain the first light intensity of the reflected light from the illumination element in the empty tube of the processing cylinder;

[0109] The volume of the empty cylinder is obtained based on the correspondence between the first light intensity and the preset light intensity-volume relationship.

[0110] The second intensity of the reflected light from the illumination element is obtained after the load is placed inside the processing cylinder;

[0111] The load volume is obtained based on the intensity difference between the first and second light intensities, the first light intensity, and the volume of the empty cylinder.

[0112] In one embodiment, the light intensity will vary depending on the space occupied by the clothing. The light intensity-volume correspondence can be obtained based on the linear relationship between light intensity and volume. Thus, when the first light intensity is obtained, the volume of the empty bucket can be obtained from the light intensity-volume correspondence.

[0113] Specifically, the load volume V1 = Δλ / λ*V; where Δλ is the difference between the first and second light intensities, λ is the first light intensity, and V is the empty barrel volume.

[0114] The above methods demonstrate that using light intensity to calculate load volume can improve the accuracy of load volume calculation, thereby increasing the accuracy of predicting material type.

[0115] Optionally, in one implementation of this embodiment, the load volume is obtained based on the intensity difference between the first light intensity and the second light intensity, the first light intensity, and the volume of the empty cylinder, including:

[0116] The load volume is obtained by comparing the light intensity difference with the first light intensity and then multiplying it by the volume of the empty cylinder.

[0117] The above content simplifies the calculation process and helps save computing resources.

[0118] Optionally, in one implementation of this embodiment, the method further includes:

[0119] The load mass is obtained by measuring the change in current of the driver before and after the processing cylinder is placed under the load, where the driver is used to drive the processing cylinder to rotate.

[0120] Optionally, in one implementation of this embodiment, the method further includes: determining a photodetector capable of detecting the predicted material type as the target photodetector;

[0121] The control of the processing cylinder to position the target optical detection element at the target position for material detection of the load includes:

[0122] When there are multiple target light detection elements, the processing cylinder is controlled so that the multiple target light detection elements are positioned one by one at the target position and perform material detection on the load.

[0123] In one embodiment, the predicted material type may include multiple material types, such as cotton and linen. In this case, two target photodetectors are identified, one for cotton detection and the other for linen detection. The processing cylinder is then rotated to position each target photodetector sequentially at its target location for garment detection.

[0124] As described above, multiple target optical detection devices are positioned sequentially at the target location for detection. This allows for the detection of clothing made of different materials by multiple target optical detection devices, improving the comprehensiveness and accuracy of material detection.

[0125] Optionally, in one implementation of this embodiment, when there are multiple target light detectors, controlling the processing cylinder to position each of the multiple target light detectors sequentially at the target position includes:

[0126] If the photodetector currently at the target position is one of a plurality of target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the target photodetector currently at the target position and the other target photodetectors, so that the plurality of target photodetectors are successively at the target position;

[0127] If the photodetector currently at the target position is not one of the multiple target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the photodetector currently at the target position and the multiple target photodetectors, so that the multiple target photodetectors are successively at the target position.

[0128] In one embodiment, it is necessary to first determine whether the photodetector at the target location belongs to one of multiple target photodetectors. The specific detection method can be based on the difference between the diffuse reflection parameter value of the photodetector at the target location and the diffuse reflection parameter range corresponding to the predicted material type, which will not be elaborated further. If the photodetector at the target location is one of multiple target photodetectors, the rotation angle of the processing cylinder can be determined directly based on the positional relationship between the target photodetectors. If the photodetector at the target location is not a target photodetector, the diffuse reflection parameter range in which the photodetector's diffuse reflection parameter value falls is used to determine which material the photodetector is used to detect. Once this is known, it can be determined which photodetector it is, thus revealing its positional relationship with the target photodetectors.

[0129] The positional relationship includes angles, and the rotation of the processing cylinder can be controlled according to the angles.

[0130] Based on the above, the rotation angle of the processing cylinder is controlled by whether the light detection element at the target position belongs to the target light detection element, which helps to improve the efficiency of controlling each target light detection element to be in the target position.

[0131] This application also provides a control method for a garment processing device. After obtaining the actual material type of the garment using the above-mentioned garment material identification method, the operating mode and / or operating parameters are adjusted according to the actual material type to process the load.

[0132] This application also provides a clothing processing device that employs the above-described clothing material identification method or the above-described control method.

[0133] Optionally, in one implementation of this embodiment, an incandescent lamp as a light source is installed on the observation window of the garment processing device, and multiple light detection elements are installed inside the processing cylinder of the garment processing device.

[0134] Optionally, in one implementation of this embodiment, the processing cylinder is provided with multiple lifting ribs, and multiple photodetectors are installed in different lifting ribs.

[0135] In the above embodiments of this application, the descriptions of each embodiment have their own emphasis. Parts not described in detail in a certain embodiment can be referred to in the relevant descriptions of other embodiments. The steps illustrated in the related flowcharts can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be performed in a different order than that shown here. In other words, the order of steps described in the foregoing embodiments is merely an example. Reasonable adjustments to the order of steps based on the content of the embodiments of this application are also within the protection scope of the embodiments of this application.

[0136] In one specific implementation of the embodiments of this application, such as Figure 2 As shown, the control method for the garment processing equipment includes the following processing steps:

[0137] Device Description: An incandescent lamp is installed on the observation window to emit light. The inner cylinder is made of stainless steel. When the bottom of the contents comes into contact with the incandescent light, it will produce a reflection effect. The volume of the contents of the cylinder can be calculated by using the reflection of light from the empty cylinder and the reflection of light from the clothes inside the cylinder.

[0138] Parameter description: The preset densities of each material are cotton ρ1, linen ρ2, wool ρ3, polyester fiber ρ4, chemical fiber ρ5, and silk ρ6, respectively. The incandescent light intensity is λ, the empty tube volume is V, the light intensity λ1 reflected back from the inner tube wall of the incandescent lamp is λ1, the difference is Δλ=λ-λ1, the volume of clothes inside the tube is V1=Δλ / λ*V, and the density of clothes inside the tube is ρ=m / V1.

[0139] Control logic and principle description:

[0140] The washing machine's internal observation window, near the drum, is equipped with a wireless light source. This proposal uses an incandescent bulb, but it is not limited to incandescent bulbs. The wireless light source also has a light intensity detection sensor on the adjacent side. The machine detects the light intensity reflected from the incandescent bulb when the drum is empty. The light intensity λ reflected from the incandescent bulb is detected by the light intensity sensor on the observation window, corresponding to the empty drum volume V. When the user places clothes into the drum, the machine begins weighing them. The drive motor detects the current I inside the drum and calculates the difference between this current and the current I1 when the drum is empty, obtaining ΔI. The mass m is then calculated from the current difference ΔI. After determining the mass of the clothes in the drum, the volume of the clothes inside the drum is detected by the degree of reflection of the incandescent bulb through the metal of the drum. The incandescent bulb circuit board starts supplying power and calculates the reflected light intensity λ1. It then calculates the difference between λ1 and the light intensity λ reflected when the bulb is empty, resulting in Δλ = λ - λ1. This Δλ difference represents the portion of the clothing inside the bulb that was not reflected, even though it was partially obscured. By calculating the ratio of this Δλ difference to the light intensity λ of the empty bulb, and then using the relationship between this ratio and the volume V of the empty bulb, the volume V1 of the clothing inside is calculated: V1 = Δλ / λ * V. Once the mass and volume of the clothing inside the bulb are determined, the density ρ of the clothing inside is calculated by the ratio of the mass m to the volume V1.

[0141] The density ρ of the inner garment is obtained, and then the relationship between this density and the preset density of each material is used to calculate the proportion of each material in the mixed garments: ρ = a*ρ1 ± b*ρ2 ± c*ρ3 ± d*ρ4 ± e*ρ5 ± f*ρ6. After obtaining the corresponding proportional constants a-f, the type and proportion of each material can be determined. This method allows for a preliminary estimation of the proportion and material type of the mixed garments in the inner garment. After determining the initial material type of the clothing inside the drum, the ultraviolet sensor inside the lifting rib begins to detect the clothing through diffuse reflection, obtaining the material parameter 'a'. The material parameter 'a' is then used to determine if the ultraviolet sensor is covered by the clothing. 'a' is compared with preset values ​​for each material. If 'a' falls within the range of each material, there is no need to adjust the angle of the drive motor; the material of the clothing inside the drum can be directly detected. If the detected material parameter 'a' does not fall within the preset range, several materials estimated based on density are compared with the detected material parameter 'a' to calculate the deviation from the preset range. This allows the sensor to determine the distance from the clothing inside the drum, thus establishing the initial position of the ultraviolet sensor. After adjusting the angle by a certain angle 'α', the ultraviolet sensor begins to detect the material of the clothing inside the drum.

[0142] After determining the corresponding material, adjust the washing mode of the clothes in the drum according to the detected material type, and then start the washing mode.

[0143] The above provides illustrative examples of the method embodiments according to this application.

[0144] The sequence numbers or order of description of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0145] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0146] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0147] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0148] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital versatile disc (DVD)), or a semiconductor medium (e.g., solid state disk (SSD)). It is worth noting that the computer-readable storage medium mentioned in the embodiments of this application can be a non-volatile storage medium; in other words, it can be a non-transient storage medium.

[0149] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.), and signals involved in the embodiments of this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the scene data of the current frame in the 3D virtual scene involved in the embodiments of this application, the client's device information, and the scene interaction information are all obtained with full authorization.

[0150] The above is only a preferred embodiment 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 identifying clothing material, characterized in that, An application is made in garment processing equipment, the garment processing equipment including a processing drum, the processing drum being equipped with multiple photodetectors, different photodetectors being used to detect different material types, the method comprising: The material of the load inside the processing cylinder is estimated to obtain the predicted material type; The photodetector at the target position collects the light signal that is diffusely reflected by the load to obtain the diffuse reflection parameter value; Based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type, the position of the target photodetector for material detection of the load is determined; The processing cylinder is controlled to position the target optical detection element at the target location to perform material detection on the load and obtain the actual material type of the load. Determining the position of the target photodetector for material detection of the load based on the difference between the diffuse reflection parameter value and the diffuse reflection parameter range corresponding to the predicted material type includes: If the diffuse reflection parameter value is within the diffuse reflection parameter range corresponding to the predicted material type, then there is no difference, and the target light detection device is determined to be at the target position. If the diffuse reflection parameter value is not within the diffuse reflection parameter range corresponding to the predicted material type, it indicates a difference. The position of the target light detector is determined based on the preset positional relationship between the light detector currently at the target position and other light detectors.

2. The method for identifying clothing material according to claim 1, characterized in that, The multiple photodetectors have the preset positional relationship, and different photodetectors are used to detect different material types. Different material types correspond to different diffuse reflection parameter ranges. Determining the position of the target photodetector based on the preset positional relationship between the photodetector currently at the target position and other photodetectors includes: The angle between the target light detector used to detect the predicted material type and the light detector currently located at the target position is determined from the preset positional relationship, and the position of the target light detector is obtained.

3. The method for identifying clothing material according to claim 2, characterized in that, The control of the processing cylinder includes: If the target light detection element is at the target position, then the processing cylinder is controlled to remain stationary; If the target light detection element is not at the target position, the processing cylinder is controlled to rotate according to the angle value.

4. The clothing material identification method according to claim 1, characterized in that, The estimation of the material of the load inside the processing cylinder to obtain the predicted material type includes: Obtain the load volume and load mass inside the processing cylinder; The mixed load density of the load is determined based on the load volume and load mass. The predicted material type is determined based on the mixed load density and a preset density ratio formula.

5. The clothing material identification method according to claim 4, characterized in that, The step of determining the predicted material type based on the mixed load density and a preset density ratio formula includes: Substituting the mixed load density into the density ratio formula yields at least one of the predicted material types; The density ratio formula is ρ=k1*ρ1±k2*ρ2±k3*ρ3±……±kn*ρn; Where ρ is the mixed load density, ρ1 to ρn are the load densities of different material types, k1 to kn are proportionality constants and integers, and n is a positive integer; Wherein, ρ1 to ρn are known quantities, and after substituting into ρ, at least one of k1 to kn is randomly assigned a value until both sides of the equation are equal. The material type corresponding to the one of ρ1 to ρn that satisfies the condition is taken as the predicted material type. The condition is that the proportional constant is not 0 and is not a negative integer.

6. The clothing material identification method according to claim 4, characterized in that, The garment processing equipment is equipped with a light source; The step of obtaining the load volume inside the processing cylinder includes: Obtain the first light intensity of the reflected light from the illumination element in the empty tube of the processing cylinder; The volume of the empty cylinder is obtained based on the first light intensity and the preset correspondence between light intensity and volume. The second light intensity of the reflected light from the illumination element is obtained after the load is placed inside the processing cylinder; The load volume is obtained based on the intensity difference between the first light intensity and the second light intensity, the first light intensity, and the volume of the empty cylinder.

7. The method for identifying clothing material according to claim 6, characterized in that, The step of obtaining the load volume based on the intensity difference between the first light intensity and the second light intensity, the first light intensity, and the volume of the empty cylinder includes: The load volume is obtained by comparing the light intensity difference with the first light intensity and then multiplying it by the volume of the empty cylinder.

8. The method for identifying clothing material according to claim 4, characterized in that, The method further includes: The mass of the load is obtained based on the change in current of the driver before and after the processing cylinder is placed into the load, wherein the driver is used to drive the processing cylinder to rotate.

9. The method for identifying clothing material according to claim 1, characterized in that, The method further includes: identifying a photodetector capable of detecting the predicted material type as the target photodetector; The control of the processing cylinder to position the target optical detection element at the target position for material detection of the load includes: When there are multiple target light detection elements, the processing cylinder is controlled so that the multiple target light detection elements are positioned one by one at the target position and perform material detection on the load.

10. The method for identifying clothing material according to claim 9, characterized in that, When there are multiple target light detectors, controlling the processing cylinder to position each of the multiple target light detectors sequentially at the target position includes: If the photodetector currently at the target position is one of a plurality of target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the target photodetector currently at the target position and the other target photodetectors, so that the plurality of target photodetectors are successively at the target position; If the photodetector currently at the target position is not one of the multiple target photodetectors, then the rotation angle of the processing cylinder is determined according to the positional relationship between the photodetector currently at the target position and the multiple target photodetectors, so that the multiple target photodetectors are successively at the target position.

11. A control method for a garment processing device, characterized in that, After obtaining the actual material type of the clothing using the clothing material identification method according to any one of claims 1-10, the operating mode and / or operating parameters are adjusted according to the actual material type to process the load.

12. A garment processing device, characterized in that, The clothing material identification method according to any one of claims 1-10 or the control method according to claim 11 may be used.

13. The garment processing equipment according to claim 12, characterized in that, An incandescent lamp, serving as a light source, is installed on the observation window of the garment processing equipment, and multiple light detection elements are installed inside the processing cylinder of the garment processing equipment.

14. The garment processing equipment according to claim 13, characterized in that, The processing cylinder is provided with multiple lifting ribs, and multiple optical detection elements are installed in different lifting ribs.

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