Clothing care method and system and related equipment

Abstract

The embodiment of the invention provides a clothes care method and system and related equipment, and relates to the field of smart home. Specifically, the clothes care method comprises the following steps: acquiring data related to clothes in response to a clothes care instruction; determining clothes attributes of the clothes based on the data related to the clothes; based on the clothes attributes, at least one clothes area to be nursed is determined, and each clothes area comprises at least one piece of clothes; and for each clothes area, determining a clothes care mode matched with the clothes area, and indicating a functional module corresponding to the clothes care mode to carry out clothes care. According to the method and the device, the clothes can be partitioned according to the clothes attributes, different clothes nursing modes are adopted for different clothes areas, different clothes nursing adapting to different clothes attributes is supported, operation does not need to depend on experience of a user, and the clothes nursing efficiency can be effectively improved while the nursing effect is effectively improved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of smart home, and in particular, the present disclosure relates to a clothes care method, system and related device. BACKGROUND

[0002] In the existing clothes care, only a single care mode such as drying or air drying can be provided, and it is impossible to provide an adaptive care for different clothes care needs, and it is necessary for the user to select the care mode by himself / herself, which is easy to cause clothes damage due to the lack of experience of the user and the use of an inappropriate care mode. SUMMARY

[0003] The clothes care method, system and related device provided by the embodiments of the present disclosure support differentiated clothes care for different clothes attributes, which can effectively improve the care effect and the efficiency of clothes care.

[0004] According to a first aspect of the embodiments of the present disclosure, a clothes care method is provided, comprising: in response to an instruction of performing clothes care, obtaining clothes-related data; determining clothes attributes of clothes based on the clothes-related data; determining at least one clothes area to be cared for based on the clothes attributes, each clothes area including at least one piece of clothes; for each clothes area, determining a clothes care mode matched with the clothes area, and instructing a function module corresponding to the clothes care mode to perform clothes care.

[0005] In a feasible embodiment, the clothes-related data includes at least one of image data obtained through a camera module and sensor data obtained through a sensor module; The clothes attributes of clothes are determined based on the clothes-related data, including performing the following operations by an artificial intelligence (AI) model: performing feature extraction based on the image data to obtain image features, and / or performing feature extraction based on the sensor data to obtain sensor features; processing based on the image features and / or the sensor features to determine clothes attributes corresponding to each piece of clothes.

[0006] In a feasible embodiment, the clothes attributes include at least one of a clothes category, a clothes material, a clothes structure or a clothes state; The at least one clothes area to be cared for is determined based on the clothes attributes, including one of the following: The clothes are divided to obtain at least one clothes region, and the matching degrees of the clothes attributes of the clothes in the same clothes region and the region attributes are all greater than or equal to a first preset threshold value; For each first preset region, if the matching degrees of the clothes attributes of the clothes in the first preset region and the region attributes are all greater than or equal to a second preset threshold value, the first preset region is determined as a clothes region to be cared, and the first preset region is related to a position where the clothes are located.

[0007] In a feasible embodiment, the determination of the region attribute comprises at least one of the following: Based on the clothes attributes of the clothes, an attribute with the highest similarity is determined as the region attribute; For each second preset region, at least one preset attribute corresponding to the second preset region is determined as the region attribute, and the second preset region is related to a clothes care mode.

[0008] In a feasible embodiment, for each clothes region, a clothes care mode matched with the clothes region is determined, comprising: An attribute corresponding to the clothes region is obtained; The matching degrees of the attribute and each preset care mode in a preset care mode library are determined; Based on the preset care mode with the matching degree higher than a third preset threshold value and / or the degree to which the clothes in the clothes region meet a preset condition, a clothes care mode matched with the clothes region is determined; The preset condition comprises a condition set based on a specified attribute.

[0009] In a feasible embodiment, for each clothes region, a function module corresponding to a clothes care mode is instructed to perform clothes care, comprising: A relative spatial position between the clothes region and the corresponding function module is determined; Based on the relative spatial position, the function module is instructed to adjust a three-dimensional spatial position, and clothes care is performed; The function module comprises at least one of a steam unit, a drying unit, a disinfection unit or a wrinkle removal unit, and the clothes care mode comprises an execution parameter of at least one function module.

[0010] In a feasible embodiment, the method further comprises: Information related to the clothes care is sent to a client associated with the device, and the information comprises an evaluation index value corresponding to the clothes care mode; The evaluation index value is determined based on an execution parameter of the clothes care mode and a set parameter recorded in a preset care mode library.

[0011] According to a second aspect of the embodiments of the present disclosure, a clothes care system is provided, comprising: a control module configured to execute the method provided by the first aspect and any of the embodiments thereof; a data acquisition module in communication connection with the control module and configured to acquire data related to clothes; a function module in communication connection with the control module and configured to perform clothes care under the control of the control module.

[0012] In an available embodiment, the data acquisition module comprises at least one of a camera module and a sensor module; wherein the camera module is configured to acquire image data; the sensor module comprises a near-infrared sensor unit and / or an ultrasonic sensor unit; the near-infrared sensor unit is configured to acquire spectral reflection data, and the ultrasonic sensor unit is configured to acquire distance measurement data and / or echo intensity data.

[0013] In an available embodiment, the function module comprises: a first module configured to perform clothes care, comprising at least one of a steam unit, a drying unit, a sterilization unit or a wrinkle removal unit; a second module configured to adjust the three-dimensional spatial position of the clothes and / or the first module.

[0014] In an available embodiment, the second module comprises at least one of: a first component configured to adjust the position of the clothes under the control of the control module to divide the clothes area; a second component configured to adjust the three-dimensional spatial position of the first module to perform clothes care on the clothes in the clothes area.

[0015] According to a third aspect of the embodiments of the present disclosure, an intelligent clothes drying machine is provided, which is configured with the clothes care system provided by the second aspect and any of the embodiments thereof, wherein the control module comprises a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to realize the method provided by the first aspect and any of the embodiments thereof.

[0016] According to a fourth aspect of the embodiments of the present disclosure, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to realize the clothes care method provided by the first aspect and any of the embodiments thereof.

[0017] According to a fifth aspect of the embodiments of the present disclosure, a computer program product is provided, comprising a computer program, and the computer program is executed by a processor to realize the clothes care method provided by the first aspect and any of the embodiments thereof.

[0018] According to a sixth aspect of the embodiments of the present disclosure, a laundry care device is provided, comprising: an acquisition module configured to acquire data related to the laundry in response to an instruction to perform laundry care; an attribute determination module configured to determine a laundry attribute of the laundry based on the data related to the laundry; a region determination module configured to determine at least one laundry region to be cared for based on the laundry attribute, each laundry region comprising at least one piece of laundry; an indication module configured to determine, for each laundry region, a laundry care mode matched with the laundry region, and instruct a functional module corresponding to the laundry care mode to perform laundry care.

[0019] The technical solutions provided by the embodiments of the present disclosure have the following beneficial effects: The embodiments of the present disclosure provide a laundry care method, a laundry care system and related devices. Specifically, in response to an instruction to perform laundry care, data related to the laundry can be acquired, and a laundry attribute of the laundry can be determined based on the data related to the laundry. Then, at least one laundry region to be cared for can be determined based on the laundry attribute, and each laundry region comprises at least one piece of laundry. On this basis, for each laundry region, a laundry care mode matched with the laundry region can be determined to perform laundry care through a corresponding functional module. The embodiments of the present disclosure can adapt to the laundry attribute to divide the laundry, and different laundry care modes can be adopted for different laundry regions, supporting differentiated laundry care adapted to different laundry attributes, without relying on user experience-based operation, which can improve the care effect and effectively improve the efficiency of laundry care. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed in the description of the embodiments of the present disclosure will be briefly introduced.

[0021] Figure 1 A flowchart of a laundry care method provided by the embodiments of the present disclosure; Figure 2 A schematic diagram of a first preset region provided by the embodiments of the present disclosure; Figure 3 A schematic diagram of a laundry region provided by the embodiments of the present disclosure; Figure 4 A schematic diagram of a framework of a laundry care system provided by the embodiments of the present disclosure; Figure 5 A layout schematic diagram of a sliding assembly provided by the embodiments of the present disclosure; Figure 6A schematic diagram of a rail device and a mechanical arm provided for an embodiment of the present disclosure; Figure 7 A block diagram of a laundry care device provided for an embodiment of the present disclosure; Figure 8 A structural schematic diagram of an electronic device provided for an embodiment of the present disclosure.

[0022] Label explanation: 10 - host, 100 - laundry care system, 101 - control module, 102 - data acquisition module, 103 - function module; 20 - drying rod assembly; 30 - first module, 31 - guide rail, 32 - sliding block, 33 - driving part; 40 - rail device, 50 - mechanical arm. DETAILED DESCRIPTION

[0023] Embodiments of the present disclosure will be described below in conjunction with the accompanying drawings in the present disclosure. It should be understood that the embodiments described below in conjunction with the accompanying drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present disclosure, and do not constitute a limitation on the technical solutions of the embodiments of the present disclosure.

[0024] Those skilled in the art can understand that the singular forms "a", "an" and "the" used herein include plural forms unless specifically stated otherwise. It should be further understood that the terms "include" and "contain" used in the embodiments of the present disclosure mean that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude other features, information, data, steps, operations, elements, components and / or their combinations supported by the present technology. It should be understood that when we say that an element is "connected" or "coupled" to another element, the element can be directly connected or coupled to the other element, or it can mean that the element and the other element establish a connection relationship through an intermediate element. In addition, the "connection" or "coupling" used herein can include wireless connection or wireless coupling. The term "and / or" used herein indicates that at least one of the items defined by the term, for example, "A and / or B" or "A, B" indicates implementation as "A", or implementation as "B", or implementation as "A and B".

[0025] The term "based on" used in various embodiments of the present disclosure can be interpreted as a premise, condition or information that is not unique, but at least one or a part of it. That is, it is indicated that at least one explicit premise exists, and other possible premises are not excluded.

[0026] The technical solutions of the embodiments of the present disclosure and the technical effects brought by the technical solutions of the present disclosure are described below by describing several exemplary embodiments. It should be noted that the following embodiments can be mutually referenced, borrowed or combined. For the same terms, similar features and similar implementation steps in different embodiments, they will not be described repeatedly.

[0027] The laundry care method provided by the embodiments of the present disclosure is described in detail below.

[0028] Specifically, as shown in Figure 1 The laundry care method provided by the embodiments of the present disclosure includes S101 to S104: S101, in response to an instruction to perform laundry care, acquiring data related to the laundry.

[0029] S102, determining the laundry attribute of the laundry based on the data related to the laundry; S103, determining at least one laundry area to be cared based on the laundry attribute, each laundry area including at least one piece of laundry; S104, for each laundry area, determining a laundry care mode matched with the laundry area, and instructing a function module corresponding to the laundry care mode to perform laundry care.

[0030] Optionally, the instruction to perform laundry care can be automatically triggered by the device when it detects that the condition is met, or it can be issued by the user through the client associated with the device. For example, when the device detects that the user stores the laundry in the corresponding area (such as the clothes dryer detecting that the user hangs the laundry on the drying rod, the smart wardrobe detecting that the user puts the laundry in the sock storage area, etc.), the instruction is triggered to perform laundry care.

[0031] Optionally, the data related to the laundry can include a set of complementary data obtained by various different sensors or technical means. In the laundry care, it is necessary to identify the information such as the type of the laundry, the material of the laundry, the state of the laundry and / or the structure of the laundry. By obtaining data of different modalities, more comprehensive information can be provided, which provides an accurate data basis for subsequent laundry care.

[0032] Optionally, the data related to the clothes includes at least one of image data acquired by the camera module and sensor data acquired by the sensor module. For example, the image data can include an image taken by a 200w-pixel CMOS camera, which can be an RGB image, for recognition based on image content such as color, texture, shape, and contour. The sensor data can include spectral reflectance data acquired by a near-infrared sensor (e.g., an 850nm near-infrared light), distance measurement data and / or echo intensity data acquired by a radar (e.g., an ultrasonic sensor). The spectral reflectance data is based on the synchronization of absorption, reflection, and scattering characteristics of different materials when near-infrared light (e.g., with a wavelength range of 780-2500nm) is incident on the surface of the clothes, and by analyzing the reflectivity of a specific waveband, natural fibers (e.g., cotton, hemp, silk) and synthetic fibers (e.g., polyester, nylon) or the proportion of mixed materials can be distinguished. The distance measurement data can be determined by an ultrasonic sensor that emits a pulse and receives a reflected wave, and by calculating the time difference between transmission and reception, the distance between the surface of the clothes and the sensor can be determined, and a continuous sequence of distance values can reflect the undulations or thickness changes of the surface of the clothes, such as detecting distance mutations at the folding or creasing of the clothes, to assist in determining the softness of the material (e.g., cotton is prone to creasing, while synthetic fibers are relatively flat). The echo intensity data is data that reflects the material of the clothes by the difference in reflection intensity of ultrasonic waves by different materials, such as the amplitude or energy value of the echo signal, which can reflect the density and thickness of the material.

[0033] Optionally, the clothing attribute refers to specific parameters and characteristics of a clothing in various aspects such as features, functions, materials, contours, etc. of a certain clothing corresponding to the data related to the clothes, and can specifically include at least one of a clothing category, a clothing material, a clothing structure, or a clothing state. The clothing category can include tops, bottoms, coats, dresses, underwear, socks, etc. The clothing material can refer to the material that makes up the clothes, such as natural fibers (cotton, hemp, silk, wool, etc.), synthetic fibers (polyester fiber, nylon, etc.). The clothing structure can refer to the construction method of the clothes, such as thickness, color block splicing, applique, shoulder pads, texture density, etc. The clothing state can refer to the current use or storage state of the clothes, such as the degree of wrinkling, the degree of damage, the degree of dryness, etc.

[0034] It can be understood that the clothing attribute affects the clothing care needs, and based on this, the embodiments of the present disclosure determine the clothing area that needs to be cared for by the clothing attribute, and adopt a suitable clothing care mode for different clothing areas for care, which can meet the clothing care needs while avoiding the user's experience operation, and is conducive to improving the care effect and efficiency.

[0035] Optionally, the laundry region can be determined based on a preset region, such as determining a preset region where the laundry to be cared for exists as the laundry region. The determined laundry region can also be dynamic, such as dividing a region where the laundry with similar laundry care needs is located into the same region. It can be understood that the location of a piece of laundry can also be regarded as a laundry region.

[0036] Optionally, after determining the at least one laundry region to be cared for, a laundry care mode matched with each laundry region can be determined. The laundry care mode can be an operation for laundry care set based on the laundry attribute, such as a cotton and linen mode, a wool mode, a down jacket mode, a baby clothes mode, an air washing mode, a drying care mode, and the like, a mode set for one or more laundry attributes, different modes requiring different functional modules and operating parameters of the functional modules.

[0037] Optionally, the functional module can be a module configured in the device as a basis, or a module configured to adapt to the laundry care function. For example, in a clothes drying machine, the functional module can include a drying unit (such as a dryer configured as a basis), and can also include a steam unit (such as a module additionally configured to adapt to the wrinkle removal requirement in laundry care).

[0038] In a feasible embodiment, in S102, the laundry attribute of the laundry is determined based on the data related to the laundry, including performing the following steps A1 to A3 by an artificial intelligence (AI) model: Step A1, performing feature extraction based on the image data to obtain image features, and performing feature extraction based on the sensing data to obtain sensing features.

[0039] Step A2, processing based on the image features and / or the sensing features to determine the laundry attribute corresponding to each piece of laundry.

[0040] The embodiments of the present disclosure provide an AI model adopting a multi-modal feature fusion architecture to process the data related to the laundry, so as to obtain more accurate and comprehensive data analysis results. Optionally, the processing of the data related to the laundry can include a preprocessing stage, a feature extraction stage, and a decision fusion stage.

[0041] In the preprocessing stage, the image data and the sensing data can be preprocessed respectively. For example, for the image data, denoising, normalization, key region cropping (such as collar, cuff, contour, etc.), and the like can be performed. For the sensing data, baseline correction, smoothing denoising, peak extraction (such as identifying fiber characteristic peaks), and the like can be performed. The preprocessed image data and sensing data can also be aligned to ensure that the image region corresponds to the sensing sampling point (such as collecting an image and a spectrum at the same position of the laundry).

[0042] In the feature extraction stage, image features of image data and sensor features of sensor data can be extracted respectively, and cross-modal interaction can be performed, such as modeling the relevance of image features and sensor features. For example, for image data, a pre-trained convolutional network (such as ResNet, EfficientNet) can be used to extract global features, and a target detection technology (such as YOLO) can be used to locate local regions (such as splicing places, shoulder pads) to extract fine-grained features. For sensor data (such as spectral reflection data), a one-dimensional convolutional network or a traditional algorithm (such as SVM) can be used to extract spectral features, and principal component analysis can be used for dimensionality reduction to retain key component information. On this basis, the relevance of image and spectral features can be modeled through an attention mechanism (such as self-attention, cross-attention).

[0043] In the decision fusion stage, the fusion features obtained by fusing (such as splicing) the image features and the sensor features can be input into the classifier (such as a fully connected network) of the AI model for processing to obtain a first classification result; the image features and the sensor features can also be input into corresponding image classifiers and sensor classifiers for processing to obtain second and third classification results. Then, the first, second, and third classification results can be used for weighted calculation to output the final clothing attribute. Alternatively, the clothing attribute can be determined based on at least one of the first, second, and third classification results. It can be understood that the same image data can include image content of multiple clothes, and the output result can be the respective clothing attributes of each clothing.

[0044] In a feasible embodiment, based on the clothing attribute, at least one clothing region to be cared for is determined in S103, including one of the following steps B1 to B2: Step B1, dividing the clothes to obtain at least one clothing region, and the matching degree of the clothing attribute of the clothes in the same clothing region and the region attribute is greater than or equal to a first preset threshold.

[0045] Optionally, as shown in Figure 3 The clothing region is a region determined to need clothing care, which can include at least one, and each clothing region is located at a different position.

[0046] In an example, the clothing can be divided based on the original position; as shown in Figure 3 For example, taking a smart clothes dryer as an example, when the drying rod assembly is stretched outwards, flat regions are provided at the left and right ends, which can be used to place small clothes such as underwear and socks that are not convenient to hang, and when analyzing the region based on the clothing attribute, if it is determined that the current region (e.g., the left end region) is not suitable for the clothes (e.g., a shirt), the clothes can be moved to another region (e.g., the right end region) that is suitable for the clothes. Figure 3The area on the right (as shown) contains only socks (a result of the user drying clothes, not a program setting), so this area can be designated as a clothing area to be cared for (e.g., ...). Figure 3 The clothing area shown is 3). In this example, the area attribute is the clothing category "socks", and the first preset threshold is 0.9 (normalized value). Figure 3 If the probability value of all clothing items in the area shown on the right being classified as "socks" is greater than or equal to 0.9, then this area can be identified as a clothing area.

[0047] In another example, clothing can be categorized based on its clothing attributes, and then moved to different areas based on their new positions; for example... Figure 3 As shown, taking a smart clothes drying rack as an example, multiple clothes hanging positions are arranged on the drying rod assembly, such as... Figure 3 The 14 hanging holes shown can hang at least 14 garments. After the user randomly hangs garments, the garment attributes can be determined by analyzing the data related to the garments. Based on these attributes, the garments can be divided into zones. For example, if three silk garments and seven cotton garments are identified, the zones can be created by moving the garments. The silk garments can be moved to the left side of the drying rack assembly, creating garment zone 1, and the cotton garments to the right side, creating garment zone 2. After moving, the matching degree between the garment attributes and the zone attribute (garment material "silk") of each garment in garment zone 1 is greater than or equal to a first preset threshold; similarly, the matching degree between the garment attributes and the zone attribute (garment material "cotton") of each garment in garment zone 2 is greater than or equal to the first preset threshold. It is understood that the above zoning is only an example. In practical applications, different zones can be achieved by moving the garments, or each garment can be treated as a separate garment zone for garment care, which can be adjusted according to the actual garment care needs indicated by its attributes.

[0048] Step B2: For each first preset area, if the matching degree between the clothing attributes and the area attributes of the clothing in the first preset area is greater than or equal to the second preset threshold, the first preset area is determined as the clothing area to be cared for. The first preset area is related to the location of the clothing.

[0049] Optionally, the clothing storage area provided by the device can be pre-divided into multiple first preset areas. These areas can be divided based on the location of the clothing. When determining the area of ​​clothing to be cared for, the determination can be based on the clothing attributes of the clothing in the first preset area. If it is determined that clothing care is required, then the first preset area is determined as the clothing area.

[0050] like Figure 2As shown, the device is an intelligent clothes drying machine. The clothes storage area provided by the intelligent clothes drying machine includes a clothes hanging area (e.g., first preset area 2 as shown) arranged below the fixed length of the clothes drying rod assembly, and areas (e.g., first preset area 1 and first preset area 3 as shown) arranged along the length direction of the clothes drying rod assembly on both sides of the clothes drying rod assembly when the clothes drying rod assembly is extended. There can be an overlapping space between each first preset area, or there can be no overlapping space. On this basis, after obtaining the data related to the clothes and determining the clothes attributes of each piece of clothes, the matching of the clothes attributes corresponding to each first preset area can be determined based on the partition of the first preset area, and then it is determined whether the corresponding first preset area is determined as a clothes area. Figure 2 Figure 2 As shown, the device is an intelligent clothes drying machine. The clothes storage area provided by the intelligent clothes drying machine includes a clothes hanging area (e.g., first preset area 2 as shown) arranged below the fixed length of the clothes drying rod assembly, and areas (e.g., first preset area 1 and first preset area 3 as shown) arranged along the length direction of the clothes drying rod assembly when the clothes drying rod assembly is extended. There can be an overlapping space between each first preset area, or there can be no overlapping space. On this basis, after obtaining the data related to the clothes and determining the clothes attributes of each piece of clothes, the matching of the clothes attributes corresponding to each first preset area can be determined based on the partition of the first preset area, and then it is determined whether the corresponding first preset area is determined as a clothes area.

[0051] Optionally, in steps B1 and B2, the determination of the area attribute includes at least one of the following steps B01 to B02: Step B01, based on the clothes attributes of each piece of clothes, determining the attribute with the highest similarity as the area attribute.

[0052] Exemplarily, the clothes attributes of each piece of clothes are as shown in Table 1: Table 1

[0053] Based on the content shown in Table 1 above, the similarity under each clothes attribute can be calculated respectively. Through similarity calculation (the similarity calculation can refer to related technologies), it can be determined that the similarity of the clothes is the highest on “clothes material = cotton”, then “clothes material = cotton” can be taken as the area attribute, and the matching degree of each piece of clothes with “clothes material = cotton” is further determined. Wherein, when clothes 1 and clothes 3 are pure cotton clothes without splicing, the matching degree with the area attribute is 100%; Wherein, in the case of splicing of clothes 2 and 4, the matching degree with the area attribute can be determined according to the proportion of different clothes materials, such as the area proportion of cotton in clothes 2 reaching 70%, then it can be determined that the matching degree with the area attribute is 70%; The area proportion of cotton in clothes 4 reaches 56%, then it can be determined that the matching degree with the area attribute is 56%.

[0054] Adapted to the scenario of step B1, if the first preset threshold is 80%, the matching degree of clothes 1 and clothes 3 with the area attribute is higher than the first preset threshold, and clothes 1 and clothes 3 can be divided into the same clothes area.

[0055] Adapted to the scenario of step B2, if the second preset threshold is 50%, the matching degree of clothes 1, 2, 3 and 4 with the area attribute is higher than the second preset threshold, and the first preset area where clothes 1, 2, 3 and 4 are located can be determined as the clothes area to be cared for.

[0056] ​Optionally, as the dynamic partitioning of the laundry meets the laundry care needs to a higher degree relative to the static first preset region, the first preset threshold can be set to be higher than the second preset threshold in the balance between the laundry care matching degree and the laundry care efficiency. It should be noted that the specific values of the above embodiments are only used as an example, and the embodiments of the present disclosure are not limited thereto.

[0057] Step B02, for each second preset region, determining the at least one preset attribute corresponding to the second preset region as the region attribute, and the second preset region is related to the laundry care mode.

[0058] Optionally, relative to the physical attribute of the first preset region, the second preset region can be regarded as a virtual region, such as a region set in advance for more common laundry care needs. For example, the second preset region can be a baby laundry area, i.e., a region for caring for baby laundry.

[0059] In an example, a plurality of second preset regions can be set in advance based on the laundry care mode, as shown in Table 2 below: Table 2

[0060] In the example shown in Table 2, the laundry is partitioned into underwear, sock, and shirt regions according to the laundry attribute, i.e., the laundry category, and the preset attribute (e.g., the laundry category = underwear) of each laundry and each second preset region is determined as the region attribute, and the matching degree of each laundry and the region attribute is calculated.

[0061] In another example, each second preset region corresponds to at least two preset attributes (in this case, including at least two region attributes), and each preset attribute is assigned a corresponding weight value. For example, for the dry laundry care region, the corresponding preset attributes are "laundry state = dry 0.3, laundry material = cotton 0.7" or "laundry state = dry 0.3, laundry material = wool 0.7", and the matching degree of each laundry and the corresponding preset attribute of each second preset region can be calculated respectively.

[0062] Optionally, in the above embodiments, the clothing attribute of the clothing can be realized by a classification algorithm, and the probability value of the clothing corresponding to each clothing attribute is determined by classification, and then it is determined whether the matching degree of the clothing attribute of the clothing and the region attribute is greater than or equal to the first preset threshold or the second preset threshold based on the probability value. For example, assuming that the region attribute is the clothing type "socks", the first preset threshold or the second preset threshold is 0.85 (normalized value), and the probability value of the clothing attribute of the clothing corresponding to the clothing type "socks" is 0.7 (i.e., the matching degree of the clothing attribute and the region attribute is 0.7), the clothing is less than the first preset threshold or the second preset threshold, i.e., it is indicated that the clothing does not exist in the clothing region with the clothing type "socks" as the region attribute.

[0063] In a feasible embodiment, in S104, for each clothing region, a clothing care mode matched with the clothing region is determined, including steps C1 to C3: Step C1, obtaining a region attribute corresponding to the clothing region.

[0064] Step C2, determining the matching degree of the region attribute and each preset care mode in a preset care mode library.

[0065] Step C3, determining the clothing care mode matched with the clothing region based on the preset care mode with a matching degree higher than a third preset threshold and / or the degree to which the clothing in the clothing region meets a preset condition.

[0066] The preset condition includes a condition set based on a specified attribute.

[0067] Optionally, the region attribute is an attribute determined based on the clothing region relative to the clothing attribute, if the clothing region corresponds to the second preset region, the preset attribute of the second preset region can be directly determined as the region attribute, and if the clothing region corresponds to the first preset region or is dynamically divided, the region attribute used in the division process of the clothing region can be directly obtained.

[0068] In an example, an end-to-end AI model can be used to input the clothing attributes of each clothing in a clothing region, and output the region attribute of the clothing region. Optionally, after the clothing region is determined, a data acquisition module can be called to acquire data related to the clothing corresponding to the clothing region, and the region attribute can be determined by the AI model used in step S102 above in units of clothing regions.

[0069] In another example, the attribute with the highest matching degree of each clothing can also be taken as the regional attribute. As shown in Table 1 above, for the attribute "clothing state", the matching degree of each clothing corresponding to each clothing state (four states shown in Table 1) can be calculated respectively, and the state with the highest matching degree can be taken as the result of the attribute "clothing state", such as "clothing state = wet + slightly wrinkled".

[0070] In yet another example, the regional attribute can also be determined based on the priority of each attribute. As shown in Table 1 above, if the clothing in a certain clothing region includes cotton and silk, and the clothing care level of silk is set to be higher than that of cotton, the clothing material in the regional attribute is set to be silk in priority.

[0071] Optionally, the preset care mode library can be obtained based on historical clothing care data and user settings. The preset care mode corresponds to the function module configured by the device. For example, if the function module of the device includes a steam unit, a drying unit, a disinfection unit and a wrinkle removal unit, the corresponding scoring standard can be designed for the preset care mode, and the matching degree can be calculated based on the attribute value of the regional attribute. For example, according to the priority of clothing care, each attribute can be assigned a weight (based on the influence of the attribute on clothing care), such as clothing material = 0.4, clothing structure = 0.3, clothing state = 0.2, and clothing category = 0.1 for the four attributes shown in Table 1 above. On this basis, the matching degree can be quantified synchronously, such as the quantification example shown in Table 3 below for high-temperature steam: Table 3

[0072] Based on Table 3 above, the matching degree of the clothing region and the preset care mode (high-temperature steam) = 0.4 x material score + 0.3 x structure score + 0.2 x state score + 0.1 x category score.

[0073] Optionally, each preset care mode can correspond to a function module configuration, such as a drying unit for clothing drying or air drying, and the preset care mode can be drying; if the disinfection unit is used for sterilization, the preset care mode can be ultraviolet irradiation, ozone sterilization and / or anti-fungal spray; if the wrinkle removal unit is used for wrinkle removal, the preset care mode can be vibration and / or patting. The quantification of each preset care mode and the matching degree calculation with the regional attribute can be processed by referring to the example of Table 3 above, and the disclosure embodiments will not be repeated here.

[0074] In the above examples, the quantification of each preset care mode and the weight setting of the regional attribute can be adjusted according to the actual situation, and the relevant numerical adjustment within the feasible range belongs to the scope protected by the disclosure embodiments.

[0075] Optionally, in determining the laundry care mode matched by each laundry region, the executed laundry care mode can be composed of at least one preset care mode, such as high-temperature steam + ozone sterilization.

[0076] In an example, the preset care modes with a matching degree higher than a third preset threshold value can be combined to obtain the laundry care mode corresponding to the corresponding laundry region.

[0077] In another example, considering that there can be certain errors in the determination of the above-mentioned laundry attributes, region attributes, and matching degree with the preset care mode or discarded information for balancing the effects of other laundry processing, to avoid damage to the laundry caused by the finally determined laundry care mode, the preset condition is set based on the specified attributes, and the degree to which the laundry region satisfies the preset condition is determined to determine the laundry care mode matched by the laundry region. For example, the preset condition includes that silk clothes are prohibited from high-temperature steam care, and when the laundry region includes clothes made of silk, the degree to which the laundry region satisfies the preset condition is 100%, and the high-temperature steam is excluded from the corresponding laundry care mode. The preset condition includes that clothes soaked in water are prohibited from anti-fungal spray, and when the total state of the clothes in a certain laundry region is wet, the degree to which the preset condition is satisfied is 75% (the dryness of clothes is divided into four levels: dry 0%, slightly wet 50%, wet 75%, and soaked 100%), and the spray execution time, concentration, or amount of anti-fungal spray in the laundry care mode can be adjusted to 25% (1-degree to which the preset condition is satisfied) of the original execution time, concentration, or amount.

[0078] Optionally, the preset care mode includes not only the adopted care mode but also the set parameters, such as the temperature and time of high-temperature steam, the amount of anti-fungal spray, and the like. In determining the matching degree of the region attribute and the preset care mode, the laundry attribute can be mapped to a quantifiable parameter, such as the material of the clothes being cotton, and the corresponding temperature resistance being not less than 120℃, and the set parameters of the preset care mode can be mapped to the impact index (such as the sterilization rate, the shrinkage rate) on the laundry attribute, such as high-temperature steam at 100℃, and the matching degree of the cotton clothes and the high-temperature steam can be calculated as follows: temperature matching degree = 10 x (1- (material temperature resistance upper limit-steam temperature) / (material temperature resistance upper limit-safety lower limit)); wherein the safety lower limit is the lowest safety temperature threshold set to avoid damage to the clothes due to temperature fluctuations or local overheating (such as 60℃). If the steam temperature is greater than the upper limit of the temperature resistance of the clothes material, the matching degree can be directly determined as 0. Optionally, other set parameters, such as time (positively correlated with the thickness of the clothes structure), concentration, and the like, can be calculated in the same way, and after the matching degrees of the respective attributes are calculated, the total matching degree can be calculated by weighting to determine the finally adopted laundry care mode.

[0079] In an implementable embodiment, the preset care mode can only include a care mode without parameter setting, and after determining the corresponding clothes care mode of each clothes area, the AI model can determine the execution parameters in the corresponding clothes care mode based on the area attribute of the clothes area.

[0080] In an implementable embodiment, considering that the clothes storage area provided by the device can be large, configuring multiple will result in an increase in cost for the same functional module, and in order to reduce production costs and improve the effect and efficiency of clothes care, the clothes area can also be adapted to the functional module to perform precise care on the clothes area through the corresponding functional module.

[0081] Optionally, in S104, for each clothes area, the functional module corresponding to the clothes care mode is instructed to perform clothes care, including steps D1 to D2: Step D1, determining the relative spatial position between the clothes area and the corresponding functional module.

[0082] Step D2, based on the relative spatial position, instructing to adjust the three-dimensional spatial position of the functional module and performing clothes care.

[0083] Optionally, the relative spatial position between the clothes area and the corresponding functional module can be detected by a laser radar. For example, the center of the clothes area can be taken as the three-dimensional spatial coordinate origin, the relative distance between the corresponding functional module and the clothes area can be calculated, and the three-dimensional spatial position can be continued to instruct the functional module to move and / or rotate, so that the functional module moves and / or rotates to the position corresponding to the clothes area to perform clothes care. Figure 3 As shown, when the clothes area 3 is irradiated with ultraviolet light, the functional module corresponding to the ultraviolet lamp is originally located at the bottom of the middle of the main machine, at which time the ultraviolet lamp can be moved to the right end of the main machine to perform clothes care, so as to shorten the distance between the ultraviolet lamp and the clothes area 3 and improve the effect and efficiency of clothes care.

[0084] Optionally, the three-dimensional spatial position can be represented by absolute coordinates, relative coordinates and homogeneous coordinates. When represented by absolute coordinates, the center of the clothes area and the position of the functional module can be determined respectively, and the relative spatial position can be determined by the absolute coordinates of the two. When represented by relative coordinates, the center of the clothes area can be taken as the reference point to determine the movement path required by the functional module to adjust. When represented by homogeneous coordinates, a dimension can be added to the three-dimensional spatial coordinates, such as (x, y, z, w), w is not equal to 0, and the homogeneous coordinates can represent translation, rotation and other changes. For example, Figure 3As shown, assuming that the "steam unit" in the functional module is arranged in the middle of the smart clothes dryer, and the clothes area 3 is located on the right side of the smart clothes dryer, the spray head of the steam unit can be rotated to spray high-temperature steam towards the clothes area 3.

[0085] In a possible implementation, the method provided by the embodiments of the present disclosure further includes S105: sending information related to the current clothes care to a client associated with the device, the information including an evaluation index value corresponding to the clothes care mode.

[0086] Optionally, the evaluation index value is determined based on an execution parameter of the clothes care mode and a set parameter recorded in a preset care mode library.

[0087] Optionally, the execution parameter is an actual parameter used in the clothes care, and the set parameter is a theoretical parameter originally set for the corresponding preset care mode. For example, if 10 minutes of ultraviolet irradiation can achieve a sterilization rate of 90% in the preset care mode, and the execution parameter is 2 minutes of ultraviolet irradiation, the sterilization rate achieved by the current ultraviolet irradiation can be determined based on the execution parameter and the set parameter (which can be determined by a linear proportional relationship between the execution parameter and the set parameter, or a nonlinear model based on experimental data), and the information related to the clothes care is sent to the user based on the evaluation index value of the sterilization rate.

[0088] Optionally, the sending of the information related to the current clothes care can be used to prompt the user about the completion of the clothes care, so as to facilitate the user to perceive the clothes care process achieved by the above-mentioned automation and intelligence.

[0089] Based on the same inventive concept, the embodiments of the present disclosure also provide a clothes care system.

[0090] The clothes care system 100 provided by the embodiments of the present disclosure can be configured on a clothes care device (such as a smart clothes dryer, a smart wardrobe, or a smart laundry room). Specifically, as shown in the figure, Figure 4 The clothes care system 100 includes a control module 101, a data acquisition module 102, and a functional module 103. The data acquisition module 102 and the functional module 103 can be in communication connection with the control module 101.

[0091] The control module 101 can include a microcontroller (such as an MCU) of the clothes care device, a processor (for supporting image recognition, AI decision, etc.), a PLC (for realizing multi-interface expansion), an interactive interface, etc. The control module 101 can be used to receive the data related to the clothes collected by the data acquisition module 102, generate a corresponding control instruction according to a preset algorithm or a user instruction, and coordinate the corresponding functional module 103 to perform collaborative work.

[0092] The data acquisition module 102 is configured to acquire multi-modal data of the clothes and the environment in which the clothes are located, and can convert the raw acquired data into digital signals and transmit the digital signals to the control module 101.

[0093] Optionally, the data acquisition module 102 can include at least one of a camera module and a sensor module. The camera module is configured to acquire image data, and can include a CMOS camera, an edge computing chip, or the like. The acquired image data can be used to identify the color, splicing condition, wrinkle degree, or the like of the clothes. The sensor module can include a near-infrared sensor unit and / or an ultrasonic sensor unit. The near-infrared sensor unit can acquire spectral reflection data, and analyze the fiber composition of the clothes, such as cotton, synthetic fiber, wool, or the like, based on the reflection spectrum. The ultrasonic sensor unit can be used to acquire distance measurement data and / or echo intensity data. The distance measurement data can be acquired by emitting a pulse from the ultrasonic sensor and receiving a reflected wave, and the distance between the surface of the clothes and the sensor can be determined based on the time difference between the emission and the reception. A sequence of continuous distance values can reflect the undulations or thickness changes of the surface of the clothes, such as the distance mutations at the folding or wrinkle positions of the clothes, which can assist in determining the softness of the material (e.g., cotton is prone to wrinkling, while synthetic fiber is relatively flat). The echo intensity data is data reflecting the material of the clothes based on the different reflection intensities of different materials to ultrasonic waves, such as the amplitude or energy value of the echo signal, which can reflect the density and thickness of the material. In an example, the data acquisition module 102 can be arranged at a position on the top or sidewall of the device to facilitate the acquisition of the overall data content of the clothes storage area.

[0094] Optionally, the functional module 103 can be arranged based on the clothes storage area provided by the device, and can be used to receive instructions from the control module 101 and perform operations. The clothes storage area can be a physically existing area provided by the clothes care device. For example, in the case of a smart wardrobe, the clothes storage area can be an area formed by the position for storing clothes in the smart wardrobe. For example, in the case of a smart clothesline, the clothes storage area can be an area formed by the clothes hanging position and the clothes placing position provided by the clothesline assembly 20.

[0095] Optionally, the functional module 103 includes a first module 30, which can include at least one unit for performing clothes care. For example, the first module 30 can include at least one of a steam unit, a drying unit, a disinfection unit, or a wrinkle removal unit.

[0096] The steam unit can include a steam generator and a spray head. The steam generator generates high-temperature steam, which is sprayed onto the clothes through the spray head. The high-temperature steam can be used to soften the fibers of the clothes, restore the deformed fibers to their original state, and achieve the effect of smoothing the clothes. The high-temperature steam also has a sterilization effect, which can kill bacteria, mites, and other microorganisms on the clothes, thereby maintaining the cleanliness and hygiene of the clothes.

[0097] The drying unit can include a dryer, a fan, a temperature and humidity sensor, a pressure regulator, etc. The drying unit can accelerate the evaporation of moisture from the clothes by heating and blowing, thereby shortening the drying time. In an example, the temperature and humidity of the clothes storage area can be monitored by the temperature and humidity sensor to prevent the clothes from being overheated or not completely dried.

[0098] The sterilization unit includes an ultraviolet sterilization lamp (such as an ultraviolet LED array), an ozone generator, an ion generator, an atomizing sterilizer (such as for spraying an anti-fungal spray or atomizing a sterilization liquid), etc. The sterilization unit can kill bacteria, viruses, and other microorganisms on the clothes by ultraviolet, ozone, negative ions, or atomization sterilization, etc., thereby playing a role in sterilization and disinfection.

[0099] The wrinkle removal unit includes a vibrator and / or a mechanical arm 50 equipped with a beater. The wrinkle removal unit can remove wrinkles from the clothes by vibrating and / or beating the clothes.

[0100] Optionally, the functional module 103 can include a second module including an adjusting assembly arranged based on the first module 30, which can be used to adjust the three-dimensional spatial position of the clothes and / or the first module 30.

[0101] Optionally, the three-dimensional spatial position can be represented by absolute coordinates, relative coordinates, and homogeneous coordinates. When represented by absolute coordinates, the center sitting position of the clothes and the position of the first module 30 can be determined respectively, and the relative spatial position can be determined by the absolute coordinates of the two. When represented by relative coordinates, the center of the clothes can be taken as a reference point to determine the movement path required for the adjustment of the first module 30. When represented by homogeneous coordinates, a dimension can be added to the three-dimensional spatial coordinates, such as (x, y, z, w), w is not equal to 0, and the homogeneous coordinates can represent translation, rotation, etc. For example, as shown in Figure 3 As shown in the example of FIG. 9, assuming that the “steam unit” in the functional module 103 is arranged in the middle of the smart clothes dryer, and the clothes area 3 is located on the right side of the smart clothes dryer, the steam unit can be rotated so that the nozzle of the steam unit sprays high-temperature steam towards the clothes area 3.

[0102] Optionally, the adjusting assembly can include a first assembly for adjusting the position of the clothes under the control of the control module 101, which can be used to divide the clothes area and achieve zoned care of the clothes. The first assembly includes a track device 40 connected to the clothes hanging assembly in the clothes storage area, which can be used to move the clothes hung for drying. For example, as shown in Figure 3 Figure 3 ​The shown intelligent clothes drying machine has a drying rod assembly 20 on which a drying hanging assembly for hanging clothes is arranged, and a track device 40 can be connected with the drying hanging assembly and arranged along the length direction of the drying rod assembly 20 to move the clothes along the length direction of the drying rod assembly 20 and adjust the position of the clothes.

[0103] Optionally, the adjusting assembly can include a second assembly for adjusting the three-dimensional space position of the first module 30 to perform clothes care. The second assembly includes a sliding assembly and / or a rotating assembly arranged in the clothes storage area, the sliding assembly is connected with the whole first module 30 to move the first module 30 and adjust the position of the first module 30; for example, Figure 5 As shown, the sliding assembly and the first module 30 can be arranged in the main machine 10 of the intelligent clothes drying machine, the sliding assembly is arranged along the length direction of the main machine 10 to realize the movement of the first module 30 along the length direction of the main machine 10. The rotating assembly is connected with at least part of the first module 30 to adjust the direction of part of the structural components in the first module 30; for example, the first module 30 is a steam unit, and the rotating assembly can be used to adjust the direction of the nozzle in the steam unit to make the high-temperature steam spray towards the clothes.

[0104] The clothes care system 100 provided by the embodiments of the present disclosure includes a control module 101 and a data acquisition module 102 and a function module 103 in communication connection with the control module 101, the data acquisition module 102 can be used to acquire data related to clothes and transmit to the control module 101, that is, the embodiments of the present disclosure can provide reference data for the selection and operation of clothes care by configuring the data acquisition module 102, and reduce the dependence on user experience value; in addition, the function module 103 can be based on the clothes storage area arranged by the device to receive the instructions of the control module 101 to work, specifically including a first module 30 and a second module, wherein the first module 30 includes at least one unit for performing clothes care, that is, the embodiments of the present disclosure can configure at least one unit on the same device to perform clothes care, and provide a hardware basis for the differentiation of clothes care; wherein the second module includes an adjusting assembly arranged based on the first module 30, which can be used to adjust the three-dimensional space position of the clothes and / or the first module 30, to provide a hardware basis for the differentiated execution of clothes care, avoid providing only a single clothes care mode for the same clothes, and be beneficial to improve the efficiency and effect of clothes care.

[0105] Based on the same inventive concept, the embodiments of the present disclosure also provide an intelligent clothes drying machine.

[0106] Specifically, the smart clothes drying machine comprises a main body 10 and a drying rod assembly 20 connected to the main body 10 through a lifting assembly. The smart clothes drying machine can be configured with the clothes care system 100 provided in the above embodiments. The clothes storage area can be provided by the drying rod assembly 20, such as the position of the clothes hung on the drying rod assembly 20 and the clothes placed on the drying rod after the drying rod is stretched, which can all serve as the clothes storage area. The control module 101 is arranged in the main body 10 and can serve as the master control of the smart clothes drying machine. The data acquisition module 102 and the function module 103 can be arranged based on the main body 10 and / or the drying rod assembly 20.

[0107] In an example, as shown in Figure 5 , the camera module can be arranged on the side of the main body 10 or the side of the main body 10 facing the clothes storage area at the bottom to collect image data related to the clothes in the largest range.

[0108] In an example, considering that the sensor module can synchronize data acquisition with the camera module, it is convenient for data alignment to improve more accurate reference data, the sensor module and the camera module can be arranged at the same position, or when the sensor module is arranged separately, it can also be arranged on the side of the main body 10 or the side of the main body 10 facing the clothes storage area at the bottom. For example, as shown in Figure 5 , it can be arranged on both ends of the main body 10. In addition, considering that the drying rod assembly 20 can be controlled to be lifted and lowered, the distance between the drying rod assembly 20 and the main body 10 increases when the drying rod assembly 20 is lowered, in order to ensure the accuracy of the data collected by the sensor module, the sensor module can also be arranged on the drying rod assembly 20.

[0109] Optionally, the sliding assembly can also comprise a guide rail 31 arranged along the length direction of the main body 10 and / or the drying rod assembly 20, a sliding block 32 for carrying the first module 30 and sliding on the guide rail 31, and a driving component 33 for providing power to the sliding block 32. In an example, the driving component 33 can be a component partially protruding from the main body 10, which can be a pull rod, so as to facilitate the user to manually pull the driving component 33 to change the position of the first module 30 in the length direction of the main body 10 through the sliding block 32. In another example, the driving component 33 can be a component arranged in the guide rail 31, one end of which is connected to the end of the guide rail 31 and the other end of which is connected to the sliding block 32. The driving component 33 can be an electric component, which can drive the sliding block 32 to move along the guide rail 31 and thus drive the first module 30 to move along the length direction of the main body 10 by receiving the instruction of the control module 101.

[0110] Optionally, in the case of the first module 30 including multiple units, multiple sliding assemblies can be arranged independently of each other, so that each unit is adjusted in position by a different sliding assembly. Alternatively, multiple units can be arranged in series in the same sliding assembly, that is, the same guide rail 31 includes multiple sliders 32 arranged in series, and each slider 32 carries a unit.

[0111] Optionally, the structure is adapted to the smart clothes drying machine. Considering that the smart clothes drying machine provides a wide range of clothes storage area, in order to improve the clothes care effect and efficiency, the outlet component in communication with the external environment is included in the steam unit, the drying unit and the sterilization unit. The adjusting assembly includes a rotating assembly connected to the outlet component, which can be used to drive the outlet component to rotate. For example, the outlet component can be a nozzle of the steam unit, and the rotating assembly rotates the direction of the nozzle to make the nozzle face the position of the clothes, so that the clothes can better receive the high-temperature steam, and the loss of the high-temperature steam in the conduction process is reduced. Correspondingly, the outlet component of the drying unit can be an air outlet, and the outlet component of the sterilization unit can be a nozzle.

[0112] Optionally, the structure is adapted to the smart clothes drying machine. The wrinkle removal unit can include a vibration unit arranged in the clothes drying rod assembly 20 and / or detachably connected to the clothes drying rod assembly 20. The vibration unit can generate vibrations of different frequencies and amplitudes according to the clothes care requirements, and transmit the vibrations to the clothes through the clothes drying rod assembly 20 to achieve clothes vibration dehydration and clothes vibration wrinkle removal. Figure 6 As shown in FIG. 5, the mechanical arm 50 can be arranged at the bottom of the main machine 10, one end connected to the main machine 10, and the other end arranged with a clamping part for clamping the paddle and performing a beating action on the clothes to achieve clothes wrinkle removal. It can be understood that the mechanical arm 50 can be a six-axis mechanical arm 50, and can be self-adaptable in length according to the position of the clothes.

[0113] Optionally, the structure is adapted to the smart clothes drying machine. The adjusting assembly further includes a first assembly. The first assembly includes a mechanical arm 50 and / or a track device 40 connected to a clothes hanging assembly on the clothes drying rod assembly 20 for hanging clothes. The first assembly can be used to move the clothes hung on the clothes drying rod assembly 20. In one example, the mechanical arm 50 can be used as a clothes moving part to move the clothes by clamping the clothes with the clamping part. In another example, the track device 40 can be arranged on a track arranged below the clothes drying rod assembly 20 along the length direction of the clothes drying rod assembly 20 and a pulley arranged in the track. The pulley is connected to the clothes hanging assembly and can drive the clothes to slide under force. In application, the user can pull the clothes to move along the length direction of the clothes drying rod assembly 20 through the pulley and the clothes hanging assembly. Optionally, the track device 40 can also be realized by using a part driven by an electric motor to move the clothes along the length direction of the clothes drying rod assembly 20 in related technologies.

[0114] Optionally, the bottom of the main machine 10 is configured with a space for accommodating the mechanical arm 50, and the mechanical arm 50 can be accommodated in the interior of the main machine 10 through the space and moved in the clothes storage area after exiting the space in application.

[0115] The smart clothes drying machine provided by the embodiments of the present disclosure is configured with the clothes care system 100 described above, and the corresponding clothes storage area can be provided by the drying rod assembly 20 of the smart clothes drying machine. The control module 101 is arranged in the main machine 10 of the smart clothes drying machine, and the data acquisition module 102 and the function module 103 can be arranged based on the main machine 10 and / or the drying rod assembly 20, thereby providing a hardware basis for realizing differentiated clothes care through the smart clothes drying machine and being beneficial to improving the effect and efficiency of performing clothes care on the smart clothes drying machine.

[0116] It should be noted that the above-mentioned embodiments can be mutually referenced, for example, the hardware structure applied in the clothes care method can refer to the description of the related embodiments of the clothes care system and the smart clothes drying machine; the description of the functions of the hardware structure in the clothes care system and the smart clothes drying machine can refer to the content of the related embodiments of the clothes care method.

[0117] The embodiments of the present disclosure provide a clothes care device, as shown in the following Figure 7 The clothes care device 700 can be applied to the clothes care system provided by the above-mentioned embodiments, and the device 700 includes: The acquisition module 701 is configured to acquire data related to clothes in response to an instruction to perform clothes care; The attribute determination module 702 is configured to determine the clothes attribute of the clothes based on the data related to the clothes; The region determination module 703 is configured to determine at least one clothes region to be cared for based on the clothes attribute, and each clothes region includes at least one piece of clothes; The indication module 704 is configured to determine a clothes care mode matched with each clothes region and instruct a function module corresponding to the clothes care mode to perform clothes care.

[0118] The device of the embodiments of the present disclosure can perform the method provided by the embodiments of the present disclosure, the implementation principles are similar, and the corresponding technical effects are achieved. The actions performed by each module in the device of the embodiments of the present disclosure are corresponding to the steps in the method of the embodiments of the present disclosure. For the detailed function description of each module of the device, please refer to the description of the corresponding method in the foregoing description, which will not be repeated here.

[0119] The electronic device provided in the embodiments of the present disclosure includes a memory, a processor and a computer program stored in the memory. The processor executes the computer program to implement the steps of the method provided in any of the optional embodiments of the present disclosure. Compared with the prior art, the embodiments of the present disclosure provide a laundry care method, a laundry care system and related devices. Specifically, when an instruction of performing laundry care is received, data related to the laundry can be acquired, and the laundry attribute of the laundry can be determined based on the data related to the laundry. Then, at least one laundry area to be cared for can be determined based on the laundry attribute, and each laundry area includes at least one piece of laundry. On this basis, a laundry care mode matched with each laundry area can be determined for each laundry area, and the laundry care is performed through the corresponding functional module. The embodiments of the present disclosure can adapt to the laundry attribute to divide the laundry, and different laundry care modes are adopted for different laundry areas, which supports differentiated laundry care adapted to different laundry attributes, and can improve the efficiency of the laundry care while improving the care effect without relying on the user's experience-based operation.

[0120] In an optional embodiment, an electronic device is provided, as shown in Figure 8 Figure 8 The electronic device 4000 shown in the figure includes a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, for example, through a bus 4002. Optionally, the electronic device 4000 can also include a transceiver 4004, which can be used for data interaction, such as data transmission and / or data reception, between the electronic device and other electronic devices. It should be noted that the transceiver 4004 is not limited to one in actual application, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present disclosure.

[0121] The processor 4001 can be a CPU (Central Processing Unit, central processing unit), a general-purpose processor, a DSP (Digital Signal Processor, digital signal processor), an ASIC (Application Specific Integrated Circuit, application specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure. The processor 4001 can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0122] ​The bus 4002 can include a path that transmits information between the above-described components. The bus 4002 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For convenience of representation, Figure 8 Only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0123] The memory 4003 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, a magnetic disk storage medium, other magnetic storage device, or any other medium that can be used to carry or store computer programs and that can be read by a computer, without limitation.

[0124] The memory 4003 is used to store a computer program for implementing the embodiments of the present disclosure, and is controlled by the processor 4001 to perform. The processor 4001 is used to execute the computer program stored in the memory 4003 to realize the steps shown in the foregoing method embodiments.

[0125] The electronic device includes, but is not limited to, a smart clothes airing machine, a clothes care machine, and a smart clothes cabinet.

[0126] The embodiments of the present disclosure provide a computer readable storage medium, and the computer readable storage medium stores a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be realized.

[0127] The embodiments of the present disclosure also provide a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be realized.

[0128] It should be understood that although the various operation steps in the flowcharts of the embodiments of the present disclosure are indicated by arrows, the implementation order of the steps is not limited to the order indicated by the arrows. Unless otherwise specified herein, in some implementation scenarios of the embodiments of the present disclosure, the implementation steps in each flowchart can be executed in other orders as required. In addition, part or all of the steps in each flowchart can include multiple sub-steps or multiple stages based on the actual implementation scenario. Part or all of these sub-steps or stages can be executed at the same time, and each of these sub-steps or stages can also be executed at different times. In the scenario where the execution times are different, the execution order of these sub-steps or stages can be flexibly configured as required, and the embodiments of the present disclosure do not limit this.

[0129] The above is only an optional implementation of some implementation scenarios of the present disclosure, and it should be pointed out that, for ordinary skilled persons in the technical field, other similar implementation means based on the technical idea of the present disclosure without departing from the technical concept of the present disclosure also belong to the protection scope of the embodiments of the present disclosure.

Claims

1. A method for clothing care, characterized in that, include: In response to instructions to perform garment care, acquire data related to the garment; Based on the data related to clothing, determine the clothing attributes; Based on the clothing properties, at least one clothing area to be cared for is determined, and each clothing area includes at least one piece of clothing. For each clothing area, determine the clothing care mode that matches that clothing area, and instruct the corresponding functional module to perform clothing care.

2. The method according to claim 1, characterized in that, The clothing-related data includes at least one of image data acquired by the camera module and sensor data acquired by the sensor module; The determination of clothing attributes based on the clothing-related data includes performing the following operations using an artificial intelligence (AI) model: Image features are obtained by extracting features from the image data, and / or sensor features are obtained by extracting features from the sensor data; Based on the image features and / or the sensing features, the clothing attributes corresponding to each garment are determined.

3. The method according to claim 1, characterized in that, The clothing attributes include at least one of the following: clothing category, clothing material, clothing structure, or clothing condition; The determination of at least one clothing area to be cared for based on the clothing properties includes one of the following: The clothing is divided into at least one clothing region. The matching degree between the clothing attributes and the region attributes of the clothing in the same clothing region is greater than or equal to a first preset threshold. For each first preset area, if the matching degree between the clothing attributes and the area attributes of the clothing in the first preset area is greater than or equal to the second preset threshold, the first preset area is determined as the clothing area to be cared for. The first preset area is related to the location of the clothing.

4. The method according to claim 3, characterized in that, The determination of the region attribute includes at least one of the following: Based on the clothing attributes of each garment, the attribute with the highest similarity is determined as the region attribute; For each second preset area, at least one preset attribute corresponding to the second preset area is determined as a region attribute, and the second preset area is related to the clothing care mode.

5. The method according to claim 3, characterized in that, For each garment area, determine the garment care mode that matches that garment area, including: Retrieve the region attributes corresponding to the clothing area; Determine the matching degree between the regional attributes and each preset nursing mode in the preset nursing mode library; Based on the preset care mode with a matching degree higher than the third preset threshold and / or the degree to which the clothing in the clothing area meets the preset conditions, determine the clothing care mode that matches the clothing area. The preset conditions include conditions set based on specified attributes.

6. The method according to claim 1, characterized in that, For each garment area, the corresponding functional module is instructed to perform garment care, including: Determine the relative spatial position between the clothing area and the corresponding functional module; Based on the relative spatial position, the three-dimensional spatial position of the functional module is adjusted, and clothing care is performed; The functional module includes at least one of a steam unit, a drying unit, a disinfection unit, or a wrinkle removal unit, and the garment care mode includes execution parameters of at least one functional module. And / or, the method further includes: Send information related to this garment care to the client associated with the device, including evaluation index values ​​corresponding to the garment care mode; The evaluation index value is determined based on the execution parameters of the clothing care mode and the setting parameters recorded in the preset care mode library.

7. A garment care system, characterized in that, include: A control module for performing the method according to any one of claims 1 to 6; The data acquisition module is communicatively connected to the control module and is used to collect data related to clothing. The functional module is communicatively connected to the control module and is used to perform clothing care under the control of the control module.

8. The system according to claim 7, characterized in that, The data acquisition module includes at least one of a camera module and a sensor module; The camera module is used to acquire image data; The sensor module includes a near-infrared sensor unit and / or an ultrasonic sensor unit; the near-infrared sensor unit is used to acquire spectral reflectance data, and the ultrasonic sensor unit is used to acquire distance measurement data and / or echo intensity data.

9. The system according to claim 7, characterized in that, The functional modules include: The first module is used for garment care, including at least one of a steam unit, a drying unit, a disinfection unit, or a wrinkle removal unit; The second module is used to adjust the three-dimensional spatial position of the clothing and / or the first module; The second module includes at least one of the following: The first component is used to adjust the position of the clothing under the control of the control module in order to divide the clothing area; The second component is used to adjust the three-dimensional spatial position of the first module in order to perform clothing care on the clothing in the clothing area.

10. A smart clothes drying rack, characterized in that, The intelligent clothes drying rack is equipped with the clothing care system according to any one of claims 7 to 9, wherein the control module includes a memory, a processor, and a computer program stored in the memory, and the processor executes the computer program to implement the method according to any one of claims 1 to 6.

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