Clothing material identification method and clothing processing equipment

By using light sensors to detect the diffuse reflection parameter value of clothing, the problem of low accuracy in the identification of clothing materials in the prior art is solved, and higher recognition accuracy and stability are achieved.

CN120026466AActive Publication Date: 2025-05-23GREE ELECTRIC APPLIANCE INC OF ZHUHAI
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Patent Information

Application Number
CN202510095401.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-21
Publication Date
2025-05-23
Estimated Expiration
2045-01-21

AI Technical Summary

Technical Problem

Existing clothing material recognition methods rely on cameras to take photos and are susceptible to problems such as water mist, inaccurate focus or obstruction, resulting in a decrease in recognition accuracy.

Method used

At least one light sensor is used to detect the clothing material, identify the clothing material through the diffuse reflection parameter value of the light signal, and set up multiple light sensors. Each light sensor corresponds to a different diffuse reflection parameter range to ensure that different materials are detected by different light sensors.

Benefits of technology

It improves the accuracy of clothing material recognition, avoids recognition failure caused by problems such as water mist, inaccurate focus or obstruction, and ensures that clothing material can be recognized in sequence.

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Abstract

The embodiment of the invention discloses a clothes material identification method and clothes processing equipment, and belongs to the technical field of material identification. The clothes material identification method comprises the steps of controlling at least one light sensor to perform clothes material detection in sequence or in groups, and determining a clothes material according to a clothes material detection result of the at least one light sensor; wherein for the current light sensor which is performing clothes material detection, the clothes material detection comprises the following steps: controlling the current light sensor to detect clothes based on diffuse reflection of a light signal to obtain a plurality of diffuse reflection parameter values; and generating a clothes material detection result of the current optical sensor according to the matching condition of the plurality of diffuse reflection parameter values and a preset diffuse reflection parameter range. The embodiment of the invention has the technical effect of improving the identification accuracy of the clothing material.
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Description

Technical Field

[0001] The present application relates to the field of material identification, and more specifically, to a clothing material identification method and clothing processing equipment. Background Art

[0002] With the development of technology and the increase in user demand, the processing accuracy of clothing processing equipment has also improved. Taking washing machines as an example, current washing machines usually identify the material of clothes before processing them, so that clothes of different materials can use different processing parameters, which helps to improve the processing effect of clothes.

[0003] At present, material recognition mostly relies on cameras and other photographic devices, which use image algorithms to identify the material of clothing through the captured clothing images. However, in actual use, clothing not only easily blocks the camera, but also easily forms water mist or fails to automatically focus, resulting in poor clarity of the captured clothing images, which reduces the accuracy of clothing material recognition. Summary of the invention

[0004] The embodiments of the present application provide a clothing material identification method and a clothing processing device to at least solve the technical problem of reduced accuracy in identifying clothing materials.

[0005] According to a first aspect of an embodiment of the present application, a method for identifying clothing material is provided, the method comprising:

[0006] Controlling at least one optical sensor to detect clothing material in sequence or in groups, and determining clothing material according to the clothing material detection result of the at least one optical sensor;

[0007] Wherein, different optical sensors are used to detect different clothing materials;

[0008] Wherein, for the current optical sensor that is performing the clothing material detection, the clothing material detection includes:

[0009] Controlling the current light sensor to detect clothing based on diffuse reflection of the light signal to obtain a plurality of diffuse reflection parameter values;

[0010] Generating a clothing material detection result of the current light sensor according to a matching condition between the plurality of diffuse reflection parameter values ​​and a preset diffuse reflection parameter range;

[0011] Different optical sensors correspond to different diffuse reflection parameter ranges.

[0012] The above scheme uses the diffuse reflection parameter value obtained by the light sensor to identify the material of the clothing. Compared with the use of a camera, it is less likely to fail to detect due to water mist, inaccurate focus or occlusion, ensuring that the clothing material can be identified in sequence. By setting up multiple light sensors, and different light sensors corresponding to different diffuse reflection parameter ranges, different light sensors can detect different clothing materials. By setting the diffuse reflection parameter range, when the current light sensor cannot detect the material of the clothing, other light sensors can be replaced for detection, which is conducive to improving the accuracy of clothing material identification.

[0013] In combination with the first aspect, in an optional implementation manner of the embodiment of the present application, the method further includes:

[0014] The matching situation is determined according to the number of invalid values ​​among the plurality of diffuse reflection parameter values ​​and / or according to the distribution positions of valid values ​​among the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range.

[0015] By adopting the above scheme, if the light sensor currently used is not used to detect the clothing material of the clothing, invalid values ​​or concentrated distribution of valid values ​​will appear in the multiple diffuse reflection parameter values ​​obtained by detection. Based on this feature, the distribution position of the invalid values ​​and / or valid values ​​is utilized to determine the matching situation, thereby improving the accuracy of the determined matching situation and thus improving the accuracy of clothing material recognition.

[0016] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining the matching situation according to the number of invalid values ​​in the plurality of diffuse reflection parameter values ​​includes:

[0017] If the ratio of the number of the invalid values ​​to the total number of the plurality of diffuse reflection parameter values ​​exceeds a preset ratio threshold, it is determined that the plurality of diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter range.

[0018] By adopting the above scheme, the proportion of invalid values ​​is judged by ratio and ratio threshold to determine the matching situation. The calculation process is simple, which is conducive to reducing the amount of calculation and the occupation of computing resources, thereby reducing the calculation error rate and improving the recognition accuracy of clothing materials.

[0019] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining the matching situation according to the distribution position of the valid values ​​of the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range includes:

[0020] If there are invalid values ​​and more than half of the valid values ​​are in a small interval or a large interval of the corresponding diffuse reflection parameter range, it is determined that multiple diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter range, wherein the small interval is the range from the middle value to the minimum value of the diffuse reflection parameter range, and the large interval is the range from the middle value to the maximum value of the diffuse reflection parameter range.

[0021] By adopting the above scheme, when there are invalid values ​​and the valid values ​​are relatively concentrated, it is proved that the currently used optical sensor is most likely not used to detect the clothing material of the current clothing. At this time, determining the matching situation as mismatch is conducive to improving the accuracy of clothing material recognition.

[0022] In combination with the first aspect, in an optional implementation manner of the embodiment of the present application, the method further includes:

[0023] When more than half of the effective values ​​are in a small interval of the corresponding diffuse reflection parameter range, determining whether there is a first target light sensor whose minimum value of the corresponding diffuse reflection parameter range is smaller than the minimum value of the small interval and the first target light sensor has not been used in the current clothing material recognition process;

[0024] If yes, controlling the first target light sensor to perform the clothing material detection;

[0025] When more than half of the effective values ​​are in a large interval of the corresponding diffuse reflection parameter range, it is determined whether there is a second target light sensor whose maximum value of the corresponding diffuse reflection parameter range is greater than the maximum value of the large interval and the second target light sensor has not been used in the current clothing material recognition process;

[0026] If yes, the second target light sensor is controlled to perform the clothing material detection.

[0027] By adopting the above scheme, the next optical sensor to be used can be quickly determined by judging the location where the effective values ​​are concentrated, which is beneficial to improving the efficiency of clothing material recognition.

[0028] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the optical sensor is applied to a clothes processing device, the clothes processing device includes a processing drum, and the optical sensor rotates with the processing drum;

[0029] Before performing the clothing material detection, the method further includes:

[0030] Control the processing drum of the clothing processing device to rotate to a preset angle, or control the processing drum of the clothing processing device to rotate the first target light sensor to a preset position before controlling the first target light sensor to perform the clothing material detection, or control the processing drum of the clothing processing device to rotate the second target light sensor to the preset position before controlling the second target light sensor to perform the clothing material detection.

[0031] By adopting the above scheme, before performing clothing material detection, by controlling the rotation of the processing barrel or directly rotating the first target light sensor and the second target light sensor to a preset position, it is beneficial to improve the accuracy of clothing material identification by setting the preset position at a position that is convenient for improving detection accuracy.

[0032] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining the clothing material according to the clothing material detection result of the at least one optical sensor includes:

[0033] When the plurality of diffuse reflection parameter values ​​are all within the corresponding diffuse reflection parameter range and the plurality of diffuse reflection parameter values ​​do not include invalid values, a material result is generated that the clothing is the clothing material associated with the corresponding diffuse reflection parameter range.

[0034] By adopting the above scheme, only when multiple diffuse reflection parameter values ​​do not include invalid values ​​and are all within a certain diffuse reflection parameter range, the corresponding clothing material is generated, which is conducive to improving the accuracy of the clothing material.

[0035] In combination with the first aspect, in an optional implementation of the embodiment of the present application, each of the diffuse reflection parameter ranges corresponds to two of the clothing materials, and the value of the parameter range corresponding to the first of the two clothing materials is small, and the value of the parameter range corresponding to the second clothing material is large;

[0036] Before generating a material result of the clothing material associated with the corresponding diffuse reflection parameter range, the method further includes:

[0037] If the plurality of diffuse reflection parameter values ​​are all within the parameter range with a small value, a material result is generated indicating that the clothing belongs to the first type of clothing material; if the plurality of diffuse reflection parameter values ​​are all within the parameter range with a large value, a material result is generated indicating that the clothing belongs to the second type of clothing material.

[0038] Otherwise, the next optical sensor is controlled to perform clothing material detection or generate a clothing material detection result of recognition failure.

[0039] By adopting the above scheme, each diffuse reflection parameter range corresponds to two clothing materials, so as to improve the efficiency of clothing material recognition, reduce the number of light sensors, and help reduce recognition costs.

[0040] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the diffuse reflection parameter range includes a first diffuse reflection parameter range, a second diffuse reflection parameter range and a third diffuse reflection parameter range;

[0041] The clothing materials corresponding to the first diffuse reflection parameter range include cotton and linen, wherein the value of the parameter range corresponding to cotton is smaller than the value of the parameter range corresponding to linen;

[0042] The clothing materials corresponding to the second diffuse reflection parameter range include wool and silk, wherein the value of the parameter range corresponding to silk is smaller than the value of the parameter range corresponding to wool;

[0043] The clothing materials corresponding to the third diffuse reflection parameter range include polyester fiber and chemical fiber, wherein the value of the parameter range corresponding to the polyester fiber is smaller than the value of the parameter range corresponding to the chemical fiber.

[0044] The above solution is adopted to facilitate the identification of common clothing materials and meet the clothing identification needs.

[0045] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the distance between the light sensor and the clothing corresponding to the first diffuse reflection parameter range is a first distance, the distance between the light sensor and the clothing corresponding to the second diffuse reflection parameter range is a second distance, and the distance between the light sensor and the clothing corresponding to the third diffuse reflection parameter range is a third distance.

[0046] The first distance is smaller than the second distance, and the second distance is smaller than the third distance.

[0047] By adopting the above scheme, the distances between different light sensors and clothing are different, which will make the diffuse reflection parameter values ​​of each light sensor have large differences when detecting clothing made of different clothing materials, thereby facilitating distinguishing different clothing materials on different light sensors and achieving the purpose of using different light sensors to detect clothing made of different clothing materials.

[0048] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the light sensor is an ultraviolet sensor or an infrared sensor, the light sensor includes an emitter and a receiver, and the emitter and the receiver are arranged in parallel and flatly below the clothing;

[0049] The method further comprises:

[0050] Data conversion processing is performed according to the wavelength and / or light intensity of the reflected light signal received a plurality of times to obtain a plurality of diffuse reflection parameter values.

[0051] By adopting the above scheme, the diffuse reflection parameter value is obtained by using wavelength and / or light intensity, rather than directly using wavelength and / or light intensity as the diffuse reflection parameter value, which is beneficial for increasing the difference between different clothing materials through data conversion processing, thereby more accurately identifying the clothing material of the clothing.

[0052] According to a second aspect of an embodiment of the present application, a clothing processing device is provided, comprising a processing drum and a plurality of light sensors arranged on an inner wall of the processing drum, wherein the plurality of light sensors are arranged at intervals from each other and are used to detect different clothing materials.

[0053] In combination with the first aspect, in an optional implementation of the embodiment of the present application, a plurality of optical sensors are arranged at equal intervals along the circumference of the inner wall of the processing cylinder.

[0054] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the number of the optical sensors is 3, and adjacent optical sensors are arranged at intervals of 120 degrees. The distances between the three optical sensors and the clothing when detecting the material of the clothing are different, wherein the three optical sensors include a first optical sensor, a second optical sensor, and a third optical sensor, the distance between the first optical sensor and the clothing is a first distance, the distance between the second optical sensor and the clothing is a second distance, and the distance between the third optical sensor and the clothing is a third distance,

[0055] The first distance is smaller than the second distance, and the second distance is smaller than the third distance;

[0056] The first optical sensor among the three optical sensors is used to detect clothing materials including cotton and linen, the second optical sensor is used to detect clothing materials including wool and silk, and the third optical sensor is used to detect clothing materials including polyester fiber and chemical fiber.

[0057] According to a third aspect of an embodiment of the present application, a clothing processing device is provided, which uses the above-mentioned clothing material identification method to identify clothing material.

[0058] The technical effects obtained in the above-mentioned second and third aspects are similar to the technical effects obtained by the corresponding technical means in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a flow chart of a clothing material identification method provided in an embodiment of the present application;

[0060] Figure 2 This is an application flow chart of a clothing material identification method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0062] It should be understood that the "plurality" mentioned in this article refers to two or more. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; the "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and so on are used to distinguish between the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words "first", "second" and so on do not limit the quantity and execution order, and the words "first", "second" and so on do not limit certain different

[0063] In addition, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not explicitly listed or inherent to such process, method, product, or apparatus.

[0064] The present application embodiment provides a method for identifying clothing material. Figure 1 The flowchart of the clothing material identification method shown in FIG. 1 includes the following processing steps.

[0065] Control at least one optical sensor to detect clothing material in sequence or in groups, and determine the clothing material according to the clothing material detection result of the at least one optical sensor.

[0066] Wherein, different optical sensors are used to detect different clothing materials. Wherein, when performing clothing material detection in groups, it means that at least one optical sensor is divided into a group, and the optical sensors in each group perform clothing material detection at the same time.

[0067] Wherein, for the current optical sensor that is performing the clothing material detection, the clothing material detection includes:

[0068] S100, controlling the current light sensor to detect clothing based on diffuse reflection of light signals to obtain a plurality of diffuse reflection parameter values.

[0069] When identifying the material of clothing, the optical sensor transmits an incident light signal to the clothing. After the incident light signal contacts the clothing, it either transmits through the clothing or diffusely reflects after contacting the clothing. This embodiment only obtains the diffuse reflection parameter value generated after diffuse reflection occurs.

[0070] It should be noted that the diffuse reflection parameter value may be a parameter value of the reflected light signal itself after diffuse reflection occurs, such as the wavelength and light intensity of the reflected light signal, or may be a parameter value obtained after calculating the parameters of the reflected light signal itself, such as substituting the wavelength and / or light intensity of the reflected light signal into a preset calculation formula to obtain the diffuse reflection parameter value. In general, as long as different clothing materials can correspond to different diffuse reflection parameter values, it will be fine.

[0071] S102: Generate a clothing material detection result of the current light sensor according to a matching condition between the plurality of diffuse reflection parameter values ​​and a preset diffuse reflection parameter range.

[0072] Among them, at least two light sensors are provided, different light sensors correspond to different diffuse reflection parameter ranges, different diffuse reflection parameter ranges correspond to different clothing materials, and different light sensors are used in each clothing material detection.

[0073] That is to say, multiple light sensors a, b, ... are pre-set, light sensor a corresponds to diffuse reflection parameter range A, light sensor b corresponds to diffuse reflection parameter range B, diffuse reflection parameter range A corresponds to clothing material X, and diffuse reflection parameter range B corresponds to clothing material Y. In the process of clothing material identification, a light sensor, such as light sensor a, is first used, and multiple diffuse reflection parameter values ​​a1, a2, ..., an are obtained through multiple detections of light sensor a. According to the matching of a1, a2, ..., an and diffuse reflection parameter range A, either a clothing material result X is generated (proving that the material of the clothing is X), or the next light sensor is controlled to perform clothing material detection.

[0074] If the next optical sensor is controlled to detect the material of the clothing, the optical sensor b will be used to detect the clothing to obtain multiple diffuse reflection parameter values ​​b1, b2, ...bn. Then, according to the matching of b1, b2, ...bn with the diffuse reflection parameter range B, either a material result Y is generated (proving that the material of the clothing is Y), or the next optical sensor is controlled to detect the material of the clothing.

[0075] Specifically, in one embodiment of the present application, diffuse reflection may be generated after the light signal contacts the clothing, and then the diffuse reflection parameter value may be obtained.

[0076] Specifically, the diffuse reflection parameter value may be a parameter value of the reflected light signal itself after diffuse reflection occurs, such as the wavelength and light intensity of the reflected light signal, or may be a parameter value obtained by calculating the parameter value of the reflected light signal itself, such as substituting the wavelength and / or light intensity of the reflected light signal into a preset calculation formula to obtain the diffuse reflection parameter value. In general, as long as different clothing materials can correspond to different diffuse reflection parameter values, it will be fine.

[0077] In one embodiment, the preset calculation formula for calculating the diffuse reflection parameter value can be a formula including the wavelength and light intensity of the reflected light signal, for example, the diffuse reflection parameter value a = (wavelength λ-absorbed wavelength △E) / wavelength λ*φluminous flux*power factor (related to light intensity).

[0078] In one embodiment, in order to determine the material of clothing, a diffuse reflection standard value interval (corresponding to the diffuse reflection parameter range) is preset, and different diffuse reflection standard value intervals correspond to different clothing materials, that is, the diffuse reflection standard value interval has a corresponding relationship with the clothing material.

[0079] Specifically, the diffuse reflection standard value interval is a numerical interval composed of diffuse reflection standard values. It should be noted that the diffuse reflection standard value and the diffuse reflection parameter value are of the same type or are obtained using the same algorithm. The difference is that the diffuse reflection standard value is a parameter value obtained by performing a diffuse reflection experiment on the clothing when the clothing material is known, while the diffuse reflection parameter value is a parameter value obtained by performing diffuse reflection on the clothing when the clothing material is actually identified. For ease of understanding, for example, during testing, the wavelength and light intensity of the reflected light signal after diffuse reflection are calculated using formula A to obtain the diffuse reflection standard value. After multiple tests on clothing of material a, a numerical interval P1 can be divided according to all the obtained diffuse reflection standard values. When actually identifying the clothing material, the wavelength and light intensity of the reflected light signal after diffuse reflection are also calculated using formula A to obtain the diffuse reflection parameter value. Since the calculation process of the diffuse reflection parameter value is the same as that of the diffuse reflection standard value, the clothing material of the clothing can be determined according to the diffuse reflection parameter value.

[0080] The correspondence between the diffuse reflection standard value interval and the clothing material is: each type of clothing material corresponds to a diffuse reflection standard value interval, and different types of clothing materials correspond to different diffuse reflection standard value intervals. For example, material a corresponds to the diffuse reflection standard value interval P1, which is the correspondence. So that when the diffuse reflection parameter value is within P1, it can be determined that the clothing material of the clothing is a. Preferably, the correspondence obtained by testing with an ultraviolet sensor and using the formula includes: the material tested at 100-130 is cotton, the material tested at 135-155 is linen, the material corresponding to 190-230 is wool, the material corresponding to 165-189 is silk, the material corresponding to 290-330 is polyester fiber, and the material corresponding to 335-390 is chemical fiber.

[0081] The above scheme uses the diffuse reflection parameter value obtained by the light sensor to identify the material of the clothing. Compared with the use of a camera, it is less likely to fail to detect due to water mist, inaccurate focus or occlusion, ensuring that the clothing material can be identified in sequence. By setting up multiple light sensors, and different light sensors corresponding to different diffuse reflection parameter ranges, different light sensors can detect different clothing materials. By setting the diffuse reflection parameter range, when the currently used light sensor cannot detect the material of the clothing, other light sensors can be replaced for detection, which is conducive to improving the accuracy of clothing material identification.

[0082] In combination with the first aspect, in an optional implementation manner of the embodiment of the present application, the method further includes:

[0083] The matching situation is determined according to the number of invalid values ​​in the plurality of diffuse reflection parameter values ​​and / or according to the distribution positions of valid values ​​in the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range.

[0084] Since different optical sensors are used to detect different clothing materials, when the clothing material of the detected clothing does not correspond to the optical sensor, an invalid value will appear. Specifically, the specific manifestation of the invalid value can be 0 or null, which is not specifically limited in this embodiment. A valid value refers to a numerical value with a size, such as 100, 123, etc.

[0085] Among them, since the diffuse reflection parameter range is actually a numerical segment, such as 100-200, it represents all values ​​between 100 and 200. Therefore, the distribution position refers to the position of the diffuse reflection parameter value in the diffuse reflection parameter interval. For example, the diffuse reflection parameter interval can be divided into two intervals from the middle value, 100-150 and 150-200; it can also be divided into three or more intervals, and different intervals correspond to different distribution positions.

[0086] By adopting the above scheme, if the light sensor currently used is not used to detect the clothing material of the clothing, invalid values ​​or concentrated distribution of valid values ​​will appear in the multiple diffuse reflection parameter values ​​obtained by detection. Based on this feature, the distribution position of the invalid values ​​and / or valid values ​​is utilized to determine the matching situation, thereby improving the accuracy of the determined matching situation and thus improving the accuracy of clothing material recognition.

[0087] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining a matching situation according to the number of invalid values ​​in a plurality of diffuse reflection parameter values ​​includes:

[0088] If the ratio of the number of invalid values ​​to the total number of the plurality of diffuse reflection parameter values ​​exceeds a preset ratio threshold, it is determined that the plurality of diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter ranges.

[0089] For example, the total number of diffuse reflection parameter values ​​is 10, of which the number of invalid values ​​is 4, and the ratio is 4 / 10, that is, 40%. If 40% exceeds the ratio threshold, it does not match, otherwise it matches.

[0090] By adopting the above scheme, the proportion of invalid values ​​is judged by ratio and ratio threshold to determine the matching situation. The calculation process is simple, which is conducive to reducing the amount of calculation and the occupation of computing resources, thereby reducing the calculation error rate and improving the recognition accuracy of clothing materials.

[0091] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining the matching situation according to the distribution position of the valid values ​​in the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range includes:

[0092] If there are invalid values ​​and more than half of the valid values ​​are in a small interval or a large interval of the corresponding diffuse reflection parameter range, it is determined that multiple diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter range, where the small interval is the range from the middle value to the minimum value of the diffuse reflection parameter range, and the large interval is the range from the middle value to the maximum value of the diffuse reflection parameter range.

[0093] The first condition is that there are invalid values, but the number of invalid values ​​is not important at this time. The second condition is that more than half of the diffuse reflection parameter values ​​are in a small range or a large range. If both conditions are met at the same time, it can be determined as a mismatch. If both conditions are not met at the same time or both conditions are not met, it is determined to be a match.

[0094] For example, multiple diffuse reflection parameter values ​​include 165, 166, 170, null, null, null, 160, null, 169, null. Since they include null, that is, an invalid value, the first condition is met, and the diffuse reflection parameter range corresponding to the currently detected light sensor is (120-170). The diffuse reflection parameter range is divided from the middle to obtain a small interval (120-145) and a large interval (145-170). It can be seen that all valid values ​​are in the large interval. At this time, both conditions are met, and the matching situation is determined to be a mismatch.

[0095] By adopting the above scheme, when there are invalid values ​​and the valid values ​​are relatively concentrated, it is proved that the currently used optical sensor is most likely not used to detect the clothing material of the current clothing. At this time, determining the matching situation as mismatch is conducive to improving the accuracy of clothing material recognition.

[0096] In combination with the first aspect, in an optional implementation manner of the embodiment of the present application, the method further includes:

[0097] When more than half of the effective values ​​are in a small interval of the corresponding diffuse reflection parameter range, it is determined whether there is a first target light sensor whose minimum value of the corresponding diffuse reflection parameter range is smaller than the minimum value of the small interval and the first target light sensor has not been used in the current clothing material recognition process;

[0098] If yes, controlling the first target light sensor to perform clothing material detection;

[0099] When more than half of the effective values ​​are in the large interval of the corresponding diffuse reflection parameter range, it is determined whether there is a second target light sensor whose maximum value of the corresponding diffuse reflection parameter range is greater than the maximum value of the large interval and the second target light sensor has not been used in the current clothing material recognition process;

[0100] If yes, the second target light sensor is controlled to perform clothing material detection.

[0101] Continuing with the previous example, the small interval is (120-145), the large interval is (145-170), the light sensor b is used, and there is an unused light sensor a, which corresponds to the diffuse reflection parameter range (60-120) and light sensor c, which corresponds to the diffuse reflection parameter range (290-330). Since the effective values ​​are all in the large interval, the next light sensor used is c.

[0102] By adopting the above scheme, the next optical sensor to be used can be quickly determined by judging the location where the effective values ​​are concentrated, which is beneficial to improving the efficiency of clothing material recognition.

[0103] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the optical sensor is applied to a clothes processing device, the clothes processing device includes a processing drum, and the optical sensor rotates with the processing drum;

[0104] Before performing clothing material detection, the method further includes:

[0105] Control the processing drum of the clothing processing device to rotate to a preset angle, or control the processing drum of the clothing processing device to rotate the first target light sensor to a preset position before controlling the first target light sensor to perform clothing material detection, or control the processing drum of the clothing processing device to rotate the second target light sensor to a preset position before controlling the second target light sensor to perform clothing material detection.

[0106] In one embodiment, the clothes processing device can be controlled to rotate a certain angle so that the optical sensor for detection is located at the bottom of the processing drum, so that the clothes cover the optical sensor to improve the detection accuracy. Similarly, the preset position can also be the bottom of the processing drum.

[0107] By adopting the above scheme, before performing clothing material detection, by controlling the rotation of the processing barrel or directly rotating the first target light sensor and the second target light sensor to a preset position, it is beneficial to improve the accuracy of clothing material identification by setting the preset position at a position that is convenient for improving detection accuracy.

[0108] In combination with the first aspect, in an optional implementation of the embodiment of the present application, determining the clothing material according to the clothing material detection result of the at least one optical sensor includes:

[0109] When the plurality of diffuse reflection parameter values ​​are all within the corresponding diffuse reflection parameter range and the plurality of diffuse reflection parameter values ​​do not include invalid values, a material result is generated in which the clothing is a clothing material associated with the corresponding diffuse reflection parameter range.

[0110] By adopting the above scheme, only when multiple diffuse reflection parameter values ​​do not include invalid values ​​and are all within a certain diffuse reflection parameter range, the corresponding clothing material is generated, which is conducive to improving the accuracy of the clothing material.

[0111] In combination with the first aspect, in an optional implementation of the embodiment of the present application, each diffuse reflection parameter range corresponds to two clothing materials, and the value of the parameter range corresponding to the first clothing material of the two clothing materials is small, and the value of the parameter range corresponding to the second clothing material is large;

[0112] Before generating a material result in which the clothing is a clothing material associated with the corresponding diffuse reflection parameter range, the method further includes:

[0113] If multiple diffuse reflection parameter values ​​are all within the parameter range with a small value, the material result generated is that the clothing belongs to the first type of clothing material. If multiple diffuse reflection parameter values ​​are all within the parameter range with a large value, the material result generated is that the clothing belongs to the second type of clothing material.

[0114] Otherwise, the next optical sensor is controlled to perform clothing material detection or generate a clothing material detection result of recognition failure.

[0115] That is to say, each diffuse reflection parameter range corresponds to two clothing materials, such as cotton and linen. When determining the two clothing materials corresponding to each diffuse reflection parameter range, two clothing materials with similar diffuse reflection parameter values ​​can be determined as the same diffuse reflection parameter range.

[0116] By adopting the above scheme, each diffuse reflection parameter range corresponds to two clothing materials, so as to improve the efficiency of clothing material recognition, reduce the number of light sensors, and help reduce recognition costs.

[0117] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the diffuse reflection parameter range includes a first diffuse reflection parameter range, a second diffuse reflection parameter range, and a third diffuse reflection parameter range;

[0118] The clothing materials corresponding to the first diffuse reflection parameter range include cotton and linen, wherein the value of the parameter range corresponding to cotton is smaller than the value of the parameter range corresponding to linen;

[0119] The clothing materials corresponding to the second diffuse reflection parameter range include wool and silk, wherein the value of the parameter range corresponding to silk is smaller than the value of the parameter range corresponding to wool;

[0120] The clothing materials corresponding to the third diffuse reflection parameter range include polyester fiber and chemical fiber, wherein the value of the parameter range corresponding to the polyester fiber is smaller than the value of the parameter range corresponding to the chemical fiber.

[0121] In one embodiment, the corresponding ranges of cotton and linen are 100-130 for cotton and 135-155 for linen; the corresponding ranges of wool and silk are 190-230 for wool and 165-189 for silk; the corresponding ranges of polyester fiber are 290-330 and chemical fiber are 335-390.

[0122] The above solution is adopted to facilitate the identification of common clothing materials and meet the clothing identification needs.

[0123] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the distance between the light sensor and the clothing corresponding to the first diffuse reflection parameter range is the first distance, the distance between the light sensor and the clothing corresponding to the second diffuse reflection parameter range is the second distance, and the distance between the light sensor and the clothing corresponding to the third diffuse reflection parameter range is the third distance.

[0124] The first distance is smaller than the second distance, and the second distance is smaller than the third distance.

[0125] Preferably, the first distance is 10 mm, the second distance is 15 mm, and the third distance is 20 mm.

[0126] By adopting the above scheme, the distances between different light sensors and clothing are different, which will make the diffuse reflection parameter values ​​of each light sensor have large differences when detecting clothing made of different clothing materials, thereby facilitating distinguishing different clothing materials on different light sensors and achieving the purpose of using different light sensors to detect clothing made of different clothing materials.

[0127] In combination with the first aspect, in an optional implementation of the embodiment of the present application, the light sensor is an ultraviolet sensor or an infrared sensor, and the light sensor includes an emitter and a receiver, and the emitter and the receiver are arranged in parallel and flat manner under the clothing;

[0128] The method also includes:

[0129] Data conversion processing is performed according to the wavelength and / or light intensity of the reflected light signal received a plurality of times to obtain a plurality of diffuse reflection parameter values.

[0130] According to a second aspect of an embodiment of the present application, a clothing processing device is provided, comprising a processing drum and a plurality of light sensors arranged on an inner wall of the processing drum, wherein the plurality of light sensors are arranged at intervals from each other and are used to detect different clothing materials.

[0131] In combination with the second aspect, in an optional implementation of the embodiment of the present application, a plurality of optical sensors are arranged at equal intervals along the circumference of the inner wall of the processing tube.

[0132] In combination with the second aspect, in an optional implementation of the embodiment of the present application, the number of the optical sensors is 3, and adjacent optical sensors are arranged at intervals of 120 degrees. The distances between the three optical sensors and the clothing when detecting the material of the clothing are different, wherein the three optical sensors include a first optical sensor, a second optical sensor, and a third optical sensor, the distance between the first optical sensor and the clothing is a first distance, the distance between the second optical sensor and the clothing is a second distance, and the distance between the third optical sensor and the clothing is a third distance,

[0133] The first distance is smaller than the second distance, and the second distance is smaller than the third distance;

[0134] The first optical sensor among the three optical sensors is used to detect clothing materials including cotton and linen, the second optical sensor is used to detect clothing materials including wool and silk, and the third optical sensor is used to detect clothing materials including polyester fiber and chemical fiber.

[0135] According to a third aspect of an embodiment of the present application, a clothing processing device is provided, which uses the above-mentioned clothing material recognition method to identify clothing material.

[0136] In the above-mentioned embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The steps shown in the relevant flow chart can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flow chart, in some cases, the steps shown or described can be executed in an order different from that here. In other words, the order of steps described in the foregoing embodiments is only an example, and it is also within the scope of protection of the embodiments of the present application to reasonably adjust the order of steps based on the content of the embodiments of the present application.

[0137] In a specific implementation of the embodiment of the present application, Figure 2 As shown, the clothing material recognition method includes the following processing steps:

[0138] Parameter description: Each of the three lifting ribs is equipped with a UV sensor. The first UV sensor (10mm) detects materials such as cotton and linen. The corresponding detection material ranges for cotton and linen are 60-120 for cotton and 120-170 for linen. The second UV sensor (15mm) detects materials such as wool and silk. The detection material ranges are 221-300 for wool and 160-220 for silk. The third UV sensor (20mm) detects materials such as polyester and chemical fiber. The material range detected for polyester is 290-330, and for chemical fiber is 335-390.

[0139] Control logic and principle description:

[0140] The user puts the clothes into the drum, and the ultraviolet sensor installed inside the lifting rib detects the material of the clothes in the drum through diffuse reflection and identifies the material of the clothes. The three lifting ribs are all equipped with UV sensors, and the relative positions between each lifting rib are 120° apart. Each sensor is installed inside the lifting rib at different distances from the material of the tested clothing, namely 10mm, 15mm, and 20mm. According to the experimental results, when the distance is 10mm, the detection range of each material is wider, and the material parameters of different materials will partially overlap. However, after multiple tests, it can be concluded that when the detection distance is 10mm, the corresponding materials should be cotton and linen, and the corresponding material parameter ranges are 60-120 for cotton and 120-170 for linen. The UV sensor at a distance of 15mm from the material of the tested clothing corresponds to wool and silk, and the corresponding material parameter ranges are 221-300 for wool and 160-220 for silk. The UV sensor corresponding to the tested clothing at a distance of 20mm detects polyester and chemical fiber, and the corresponding material parameters are 290-330 for polyester and 335-390 for chemical fiber, respectively.

[0141] There will be overlap when using ultraviolet sensors to test clothing material identification. The ultraviolet sensor on each lifting rib collects data from the clothes in the drum 10 times in a row, and samples 10 times to determine whether the material parameters fall within the range. If there are more than 5 times after collecting data for 10 times in a row, if there are, or in most cases the values ​​are at the upper limit of the range, then the sensor detection result on this lifting rib is not within the range of this lifting rib, and another ultraviolet sensor on the lifting rib should be used for detection. After confirmation, it should be rotated 120° to select the ultraviolet sensor on the next lifting rib for testing until it is determined that data can be collected after 10 consecutive data collections and can fall within the range, then the material can be determined. Finally, determine the material based on the detected material parameters and adjust the appropriate parameters to determine and start washing.

[0142] For example, if the first 10 collected data fall within the upper limit of the interval, for example, the collected data is 165, 166, 170, null, null, null, 160, null, 169, null. In this case, it can be determined that the material is not linen, but silk. Then, after rotating 120°, see if data can be collected. If the first 3 times are null, it is not a sensor for detecting silk. It is necessary to rotate 120° again for detection. If the 10 detected times are all within the silk material interval, 165, 166, 170, 180, 185, 190, 160, 178, 169, 176, it can be determined that the detected material is silk.

[0143] The sequence of serial numbers or introduction of the embodiments of the present application is for description only and does not represent the superiority or inferiority of the embodiments.

[0144] In several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in electrical or other forms.

[0145] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0146] In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0147] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of 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, the process or function described in the embodiment of the present application is generated in whole or in part. 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 computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access, or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disc (DVD)), or a semiconductor medium (e.g., a solid state disk (SSD)). It is worth noting that the computer-readable storage medium mentioned in the embodiment of the present application may be a non-volatile storage medium, in other words, a non-transient storage medium.

[0148] 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 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 relevant 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 three-dimensional virtual scene, the device information of the client, and the scene interaction information involved in the embodiments of this application are all obtained with full authorization.

[0149] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for identifying clothing material, characterized in that: The method comprises: Controlling at least one optical sensor to detect clothing material in sequence or in groups, and determining clothing material according to the clothing material detection result of the at least one optical sensor; Wherein, different optical sensors are used to detect different clothing materials; Wherein, for the current optical sensor that is performing the clothing material detection, the clothing material detection includes: Controlling the current light sensor to detect clothing based on diffuse reflection of the light signal to obtain a plurality of diffuse reflection parameter values; Generating a clothing material detection result of the current light sensor according to a matching condition between the plurality of diffuse reflection parameter values ​​and a preset diffuse reflection parameter range; Different optical sensors correspond to different diffuse reflection parameter ranges.

2. The clothing material identification method according to claim 1, characterized in that: The method further comprises: The matching situation is determined according to the number of invalid values ​​among the plurality of diffuse reflection parameter values ​​and / or according to the distribution positions of valid values ​​among the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range.

3. The clothing material identification method according to claim 2, characterized in that: Determining the matching condition according to the number of invalid values ​​in the plurality of diffuse reflection parameter values ​​includes: If the ratio of the number of the invalid values ​​to the total number of the plurality of diffuse reflection parameter values ​​exceeds a preset ratio threshold, it is determined that the plurality of diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter range.

4. The clothing material identification method according to claim 2 or 3, characterized in that: The determining the matching situation according to the distribution positions of the valid values ​​among the plurality of diffuse reflection parameter values ​​in the corresponding diffuse reflection parameter range comprises: If there are invalid values ​​and more than half of the valid values ​​are in a small interval or a large interval of the corresponding diffuse reflection parameter range, it is determined that multiple diffuse reflection parameter values ​​do not match the corresponding diffuse reflection parameter range, wherein the small interval is the range from the middle value to the minimum value of the diffuse reflection parameter range, and the large interval is the range from the middle value to the maximum value of the diffuse reflection parameter range.

5. The clothing material identification method according to claim 4, characterized in that: The method further comprises: When more than half of the effective values ​​are in a small interval of the corresponding diffuse reflection parameter range, determining whether there is a first target light sensor whose minimum value of the corresponding diffuse reflection parameter range is smaller than the minimum value of the small interval and the first target light sensor has not been used in the current clothing material recognition process; If yes, controlling the first target light sensor to perform the clothing material detection; When more than half of the effective values ​​are in a large interval of the corresponding diffuse reflection parameter range, it is determined whether there is a second target light sensor whose maximum value of the corresponding diffuse reflection parameter range is greater than the maximum value of the large interval and the second target light sensor has not been used in the current clothing material recognition process; If yes, the second target light sensor is controlled to perform the clothing material detection.

6. The clothing material identification method according to claim 5, characterized in that: Applicable to a clothes processing device, the clothes processing device comprises a processing drum, and the optical sensor rotates with the processing drum; Before performing the clothing material detection, the method further includes: Control the processing drum of the clothing processing device to rotate to a preset angle, or control the processing drum of the clothing processing device to rotate the first target light sensor to a preset position before controlling the first target light sensor to perform the clothing material detection, or control the processing drum of the clothing processing device to rotate the second target light sensor to the preset position before controlling the second target light sensor to perform the clothing material detection.

7. The clothing material identification method according to any one of claims 1 to 6, characterized in that: The determining of the clothing material according to the clothing material detection result of the at least one optical sensor comprises: When the plurality of diffuse reflection parameter values ​​are all within the corresponding diffuse reflection parameter range and the plurality of diffuse reflection parameter values ​​do not include invalid values, a material result is generated that the clothing is the clothing material associated with the corresponding diffuse reflection parameter range.

8. The clothing material identification method according to claim 7, characterized in that: Each of the diffuse reflection parameter ranges corresponds to two of the clothing materials, and the parameter range corresponding to the first of the two clothing materials has a smaller value, and the parameter range corresponding to the second of the two clothing materials has a larger value; Before generating a material result of the clothing material associated with the corresponding diffuse reflection parameter range, the method further includes: If the plurality of diffuse reflection parameter values ​​are all within the parameter range with a small value, a material result is generated indicating that the clothing belongs to the first type of clothing material; if the plurality of diffuse reflection parameter values ​​are all within the parameter range with a large value, a material result is generated indicating that the clothing belongs to the second type of clothing material. Otherwise, the next optical sensor is controlled to perform clothing material detection or generate a clothing material detection result of recognition failure.

9. The clothing material identification method according to any one of claims 1 to 6, characterized in that: The diffuse reflection parameter range includes a first diffuse reflection parameter range, a second diffuse reflection parameter range and a third diffuse reflection parameter range; The clothing materials corresponding to the first diffuse reflection parameter range include cotton and linen, wherein the value of the parameter range corresponding to cotton is smaller than the value of the parameter range corresponding to linen; The clothing materials corresponding to the second diffuse reflection parameter range include wool and silk, wherein the value of the parameter range corresponding to silk is smaller than the value of the parameter range corresponding to wool; The clothing materials corresponding to the third diffuse reflection parameter range include polyester fiber and chemical fiber, wherein the value of the parameter range corresponding to the polyester fiber is smaller than the value of the parameter range corresponding to the chemical fiber.

10. The clothing material identification method according to claim 9, characterized in that: The distance between the light sensor and the clothing corresponding to the first diffuse reflection parameter range is a first distance, the distance between the light sensor and the clothing corresponding to the second diffuse reflection parameter range is a second distance, and the distance between the light sensor and the clothing corresponding to the third diffuse reflection parameter range is a third distance. The first distance is smaller than the second distance, and the second distance is smaller than the third distance.

11. The clothing material identification method according to any one of claims 1 to 6, characterized in that: The light sensor is an ultraviolet sensor or an infrared sensor, and the light sensor comprises an emitter and a receiver, and the emitter and the receiver are arranged in parallel and flatly below the clothing; The method further comprises: Data conversion processing is performed according to the wavelength and / or light intensity of the reflected light signal received a plurality of times to obtain a plurality of diffuse reflection parameter values.

12. A clothes processing device, characterized in that: The invention comprises a processing drum and a plurality of optical sensors arranged on the inner wall of the processing drum. The plurality of optical sensors are arranged at intervals from each other and are used for detecting different clothing materials.

13. The clothes treating device according to claim 12, characterized in that: A plurality of optical sensors are arranged at equal intervals along the circumferential direction of the inner wall of the processing tube.

14. The laundry processing device according to claim 12 or 13, characterized in that: The number of the optical sensors is 3, and the distances between the 3 optical sensors and the clothing when detecting the material of the clothing are different. The 3 optical sensors include a first optical sensor, a second optical sensor, and a third optical sensor. The distance between the first optical sensor and the clothing is a first distance, the distance between the second optical sensor and the clothing is a second distance, and the distance between the third optical sensor and the clothing is a third distance. The first distance is smaller than the second distance, and the second distance is smaller than the third distance; The first optical sensor among the three optical sensors is used to detect clothing materials including cotton and linen, the second optical sensor is used to detect clothing materials including wool and silk, and the third optical sensor is used to detect clothing materials including polyester fiber and chemical fiber.

15. A clothes processing device, characterized in that: The clothing material identification method according to any one of claims 1 to 11 is used to identify the clothing material.

Citation Information

Patent Citations

  • Clothes treatment equipment

    CN113463335A

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

    CN115726134A

  • Load detection method and device, clothes processing equipment and storage medium

    CN119287617A