Clothes drying method, apparatus, drying device, and program product

Abstract

The embodiment of the application discloses a clothes drying method, device, drying equipment and program product, and relates to clothes drying technology, and the method comprises the following steps: obtaining clothes parameters of clothes to be dried, the clothes parameters comprising clothes material parameters, clothes thickness parameters, clothes load parameters and clothes humidity parameters; determining a reference drying scheme meeting a preset condition from historical drying schemes; inputting the clothes material parameters, the clothes thickness parameters, the clothes load parameters, the clothes humidity parameters and reference drying parameters corresponding to the reference drying scheme into a clothes drying model to obtain a target drying scheme, so as to perform drying treatment on the clothes to be dried based on the target drying scheme. The embodiment of the application can accurately and efficiently formulate a personalized drying scheme for the clothes to be dried, the present scheme does not need the user to manually select a drying mode, simplifies the drying process, and improves the intelligence of the drying equipment and the user experience.

Description

Technical Field

[0001] This invention relates to the field of clothing drying technology, and in particular to a clothing drying method, apparatus, drying equipment, and program product. Background Technology

[0002] With the rapid development of smart technology, users have increasingly higher expectations for the intelligence of various home appliances, especially frequently used appliances like dryers. Currently, existing dryers have significant limitations in the drying programs they offer when drying clothes. Specifically, users typically have to select a suitable drying mode from a limited number of pre-set modes based on their needs to dry their clothes.

[0003] In existing drying equipment, the drying parameters for each mode are all fixed at the factory. However, the quantity and material of clothes dried by users vary each time, and fixed drying parameters often cannot flexibly adapt to these diverse changes, making it difficult to accurately meet the actual needs of users in different scenarios. Therefore, how to provide users with more intelligent drying services and improve the user experience has become a key issue that urgently needs to be addressed. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and program for drying clothes, which can provide a personalized drying solution based on the parameters of the clothes to be dried, thereby improving the user experience.

[0005] In a first aspect, embodiments of the present invention provide a method for drying clothes, comprising:

[0006] Obtain the clothing parameters of the clothes to be dried, including clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters;

[0007] A reference drying scheme that meets preset conditions is determined from historical drying schemes. The reference drying scheme is a scheme that matches at least one of the clothing parameters among the historical drying parameters included in the historical drying scheme, namely, the clothing material parameter, the clothing thickness parameter, the clothing load parameter, or the clothing humidity parameter.

[0008] The clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme are input into the clothing drying model to obtain the target drying scheme, so as to dry the clothing to be dried based on the target drying scheme.

[0009] Secondly, embodiments of the present invention provide a clothes drying device, the device comprising:

[0010] The parameter acquisition module is used to acquire the parameters of the clothes to be dried, including the material parameters, thickness parameters, load parameters, and humidity parameters.

[0011] The scheme determination module is used to determine a reference drying scheme that meets preset conditions from historical drying schemes. The reference drying scheme is a scheme that matches at least one of the following parameters among the historical drying parameters included in the historical drying scheme: the clothing material parameter, the clothing thickness parameter, the clothing load parameter, or the clothing humidity parameter.

[0012] The clothing drying module is used to input the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothing drying model to obtain the target drying scheme, so as to dry the clothing to be dried based on the target drying scheme.

[0013] Thirdly, embodiments of the present invention also provide a drying apparatus, the drying apparatus comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the clothes drying method according to any embodiment of the present invention.

[0017] Fourthly, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the clothes drying method described in any embodiment of the present invention.

[0018] Fifthly, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the clothes drying method described in any embodiment of the present invention.

[0019] The clothing drying solution provided in this embodiment of the invention first considers the parameters of the clothes to be dried, ensuring that the subsequent determination of the target drying solution is tailored to the characteristics of the clothes, thus protecting the user's clothing. Next, by determining a reference drying solution from historical drying solutions based on the parameters of the clothes to be dried, the efficiency and accuracy of determining the target drying solution are improved, reducing trial-and-error costs. Finally, by analyzing the parameters of the clothes to be dried and the reference drying parameters corresponding to the reference drying solution using a clothing drying model, a personalized drying solution can be accurately and efficiently formulated for the clothes to be dried. The solution provided in this embodiment eliminates the need for users to manually select a drying mode, simplifying the drying process and achieving the beneficial effects of improving the intelligence of the drying equipment and enhancing the user experience.

[0020] It should be understood that the description in this section is not intended to identify key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the embodiments of the present invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic flowchart of a clothes drying method provided in an embodiment of the present invention;

[0023] Figure 2 This is a schematic diagram of the drying equipment provided in an embodiment of the present invention;

[0024] Figure 3 This is another schematic diagram of the clothing drying method provided in an embodiment of the present invention;

[0025] Figure 4 This is a schematic diagram of a clothes drying device provided in an embodiment of the present invention;

[0026] Figure 5 This is another structural schematic diagram of the drying equipment provided in an embodiment of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0030] Figure 1 This is a schematic flowchart of a clothing drying method provided in an embodiment of the present invention. This embodiment is applicable to situations where a drying scheme is adaptively generated for the clothes to be dried, and the clothes are dried based on the drying scheme. This method can be executed by a clothing drying device, which can be implemented in hardware and / or software and can be configured in a drying equipment.

[0031] Before introducing the drying solution provided in this embodiment, please refer to... Figure 2 , Figure 2 This is a schematic diagram of a drying device provided in an embodiment of the present invention. The reference numerals in the diagram represent the following: 1-Drying device body, 2-Drying device display screen, 3-Vision module, 4-Drying drum, 5-Drying drum door panel, 6-Processing module, 7-Sensing module, 8-Humidity detection module, 9-Load detection module, 10-Drive module, 11-Drying module.

[0032] Specifically, the main body 1 of the drying equipment is a housing for installing and accommodating other structures and modules; the display screen 2 of the drying equipment is an area for displaying the status and program information of the drying equipment and providing user interaction; the vision module 3 includes a vision device (e.g., a camera) and an active light source. The vision module 3 has two states: when the drying drum door 5 is open, the vision module 3 is in an extended state, with the camera and active light source facing outwards from the drying drum 4 to capture images of the clothes when the user places them into the drum; when the drying drum door 5 is closed, the vision module 3 is in a retracted state, with the camera and active light source facing inwards from the drying drum 4 to capture images of the drying drum 4 during operation; the drying drum 4 is a drum that holds the clothes to be dried; the drying drum door 5 is a watertight cover for the drying drum 4; and the processing module 6 is the computer system of the drying equipment. The drying method provided in this embodiment can be integrated into the processing module in software form, which is used to take the parameters detected by each module as input to the clothes drying model and formulate a corresponding drying plan for the clothes to be dried; the sensing module 7, including a sound sensor, a networking unit, etc., is used to sense the user and the surrounding environment of the drying equipment; the humidity detection module 8 is built into the inside of the drying drum 4 and is used to detect the moisture content of the clothes to be dried in the drying drum 4; the load detection module 9, including a fixing block, a hanging spring, and a tension sensor, is used to detect the load weight of the clothes to be dried in the drying drum 4; the drive module 10 is used to drive the motor module of the drying drum 4 according to the rotation speed and direction included in the drying plan; the drying module 11 is used to perform drying operations on the clothes according to the drying air volume and drying temperature included in the drying plan.

[0033] It should be noted that when the solution provided in this embodiment is applied to drying equipment, the current drying equipment is not limited to equipment with only drying function, but can also be a washing-drying integrated equipment. No specific class of drying equipment is limited here.

[0034] For details, please refer to Figure 1 The clothes drying method provided in this embodiment may specifically include the following steps:

[0035] S110. Obtain the clothing parameters of the clothes to be dried, including clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters.

[0036] The "Clothing Material" field indicates the material type of the clothes to be dried. For example, the material type may include cotton / linen, denim, synthetic fibers, wool, silk, etc. Generally, during actual drying, the type of clothing to be dried is not limited to one type. For instance, a single drying operation may include denim, cotton / linen, and synthetic fiber clothing. "Clothing Thickness" indicates the thickness of the clothes to be dried, typically in millimeters. Optionally, when the clothes to be dried include multiple material types, and each material type contains multiple pieces, the clothing thickness can be the thickest and thinnest values ​​identified, such as a maximum thickness of 10 mm and a minimum thickness of 2 mm. "Clothing Load" indicates the weight of the clothes to be dried, usually recorded in kilograms. "Clothing Moisture" indicates the moisture content of the clothes to be dried, usually recorded as a percentage.

[0037] The aforementioned parameters—clothing material, clothing thickness, clothing load, and clothing humidity—are expressed mathematically after preprocessing the obtained values ​​for clothing material, thickness, load, and humidity. This is done to standardize the format of the values ​​obtained from the different dimensions of the clothes to be dried, ensuring that they meet the input requirements of the model during subsequent model analysis and guaranteeing the model's correct operation and effectiveness.

[0038] Specifically, when preprocessing various clothing parameters, processing can be based on data type. For example, if the clothing material is text-based and the rest are numerical, then the clothing material can be encoded to convert it into a numerical format. Specifically, the method for encoding clothing materials to obtain clothing material parameters can be as follows: For common clothing materials such as "cotton," "linen," "synthetic fiber," "wool," "silk," and "denim," taking "cotton" as an example, the clothing material parameter can be represented as [1, 0, 0, 0, 0, 0]; taking "cotton" and "denim" as examples, the clothing material parameter can be represented as [1, 0, 0, 0, 0, 1]. The specific method for preprocessing clothing materials to obtain clothing material parameters is not limited here.

[0039] In one implementation, the parameters of each garment in the clothes to be dried are obtained through the following steps a) to d):

[0040] a) Acquire images of clothes to be dried using vision devices.

[0041] The integrated vision module within the drying equipment provided in this embodiment includes a vision device and a light source device. The light source device provides suitable illumination for the vision device, helping to capture clear images after the clothes to be dried are placed inside the drying drum, avoiding the impact of shadows on image quality. In this embodiment, the vision module has two states: when the drying drum door is open, the vision module is in an extended state, with the vision device and light source device facing outwards from the drying drum, capable of capturing images as the user places clothes into the drum; when the drying drum door is closed, the vision module is in a retracted state, with the vision device and light source device facing inwards from the drying drum, capable of capturing images of the drying drum in operation.

[0042] Optionally, to improve the accuracy of subsequent analysis of clothing material parameters and clothing thickness parameters based on clothing images, in this embodiment, when the drying drum door is detected to be in a closed state and a start command from the user is received, the drying drum can be controlled to rotate first to capture multiple images of the clothing to be dried in different distributions inside the drying drum, thereby enabling subsequent analysis operations.

[0043] b) Extract texture and edge features from clothing images.

[0044] To improve the efficiency and accuracy of image analysis from multiple captured images, images with lower processing difficulty are selected for preprocessing and subsequent processing. Current preprocessing operations may include at least grayscale conversion, denoising, and image enhancement. Further feature analysis is performed on the preprocessed clothing images to determine the clothing material and thickness parameters based on the analysis results.

[0045] Specifically, clothing made of different materials typically possess different texture characteristics. In this embodiment, the texture features of the clothing to be dried can be extracted by calculating the gray-level co-occurrence matrix (GLCM) of each clothing image. For example, cotton clothing has a relatively uniform and fine texture, linen clothing may have a coarser texture with obvious fiber lines, and silk clothing has a smoother and shinier texture. Machine learning classification models (such as support vector machines, decision trees, etc.) can be used to identify the clothing material. Optionally, a material selection option can be provided on the operation panel of the drying equipment, allowing users to manually select the material of the clothing to be dried. Common material classifications can be provided for users to choose from, such as cotton, linen, synthetic fibers, silk, wool, denim, etc. Although this method relies on the user's cognition and accurate input, it can serve as a supplement to image recognition technology. When the image recognition result is uncertain or abnormal, the user input can be referenced to further clarify the clothing material.

[0046] When analyzing clothing thickness parameters, since the edge features corresponding to different thicknesses of clothing vary significantly, this embodiment uses an edge detection algorithm (such as the Canny edge detection algorithm) to extract the edges of the clothing. For example, thicker clothing edges typically appear more blurred and have lower contrast because light is more scattered and absorbed when passing through thicker clothing; while thinner clothing edges are relatively clear and have higher contrast. The thickness of the clothing can be roughly estimated by analyzing features such as the degree of blurriness or contrast of the edges. For example, the standard deviation of the grayscale values ​​of the edge pixels can be calculated. A smaller standard deviation may indicate a more blurred edge, corresponding to thicker clothing; a larger standard deviation may indicate a clearer edge, corresponding to thinner clothing.

[0047] c) Determine clothing material parameters based on texture features and clothing thickness parameters based on edge features.

[0048] By comparing and analyzing the texture features extracted in the above steps with the texture features of clothing of known materials, the material parameters of the clothing to be dried are obtained; the thickness of the edge features extracted in the above steps is estimated to obtain the clothing thickness parameters of the clothing to be dried.

[0049] d) Determine the clothing load parameters based on the load detection component and the clothing humidity parameters based on the humidity detection component.

[0050] When the drying drum door is closed, before the drying program is executed, the load detection module and humidity detection module are triggered. The load detection component (e.g., a tension sensor) in the load detection module operates to detect the weight of the clothes to be dried in the drying drum, thereby determining the load parameters of the clothes; the humidity detection component (e.g., a humidity sensor) in the humidity detection module operates to determine the humidity parameters (moisture content) of the clothes to be dried.

[0051] S120. Determine a reference drying scheme that meets the preset conditions from historical drying schemes.

[0052] Historical drying plans are the plans that the current drying equipment used when performing drying operations in the past. After each drying operation is completed, the plan parameters included in that operation are stored. The purpose of this is to help improve the efficiency and accuracy of determining the target drying plan and reduce trial and error costs.

[0053] To reduce the storage pressure on the database, the historical drying scheme can be the scheme corresponding to a preset historical time period, such as the past six months or one year. Optionally, due to the different usage frequencies of users, the historical drying scheme can be a preset number of schemes within a historical time period, such as 50 schemes or 100 schemes. The specific way the database stores the historical drying scheme is not limited here.

[0054] When storing historical drying schemes, it is necessary to store the historical drying parameters corresponding to each historical drying scheme. Specifically, in each historical drying scheme, a scheme identifier (a unique identifier for each drying operation) corresponds to a set of historical drying parameters. Optionally, each set of historical drying parameters can be further subdivided into historical clothing parameters and historical equipment parameters. Among them, historical clothing parameters represent the clothing parameters corresponding to the clothes to be dried in the current drying scheme, such as historical material parameters (recording the material of the clothes to be dried this time, assuming there are only three common materials: cotton, linen, and synthetic fibers, such as cotton can be coded as [1, 0, 0]), historical thickness parameters (e.g., 5mm), historical load parameters (e.g., 3kg), and historical humidity parameters (e.g., 85%). Historical equipment parameters include the specific parameters used in this drying operation, such as drying time (minutes), drying temperature (degrees Celsius), drying mode (e.g., regular, gentle, fast, etc., after encoding, such as regular mode coded as [1, 0, 0], assuming there are only three modes), etc.

[0055] In this embodiment, the reference drying scheme is a scheme among the historical drying schemes that matches at least one of the following clothing parameters: clothing material parameter, clothing thickness parameter, clothing load parameter, or clothing humidity parameter. That is, if any parameter of the current clothing matches any historical drying parameter in the historical drying scheme, the current historical drying scheme can be determined as the reference drying scheme. Specifically, any parameter of the current clothing matches any historical clothing parameter in the historical drying scheme.

[0056] In a preferred embodiment, step S120 can be implemented as follows: A historical drying scheme whose clothing material parameters match historical material parameters is identified as a first reference drying scheme; a historical drying scheme whose clothing thickness parameters meet a preset thickness condition is identified as a second reference drying scheme; a historical drying scheme whose clothing load parameters meet a preset load condition is identified as a third reference drying scheme; and a historical drying scheme whose clothing humidity parameters meet a preset humidity condition is identified as a fourth reference drying scheme. Based on the scheme identifier, the first, second, third, and fourth reference drying schemes are deduplicated to obtain a reference drying scheme. This scheme determines different reference drying schemes based on four important dimensions: clothing material, thickness, load, and humidity. This helps to integrate multi-dimensional clothing information, ensuring that the final reference drying scheme fully considers the characteristics of various aspects of the clothing. This further improves the drying efficiency of subsequent target drying schemes, shortens drying time, and thus enhances the overall efficiency of the drying process.

[0057] Specifically, in implementing the above solution, the material parameters of the clothing must be perfectly matched. That is, the material code of the clothing to be dried must be the same as the material code in the historical drying solution. The established first reference solution helps avoid improper drying due to material differences, such as shrinkage, deformation, and fading, thereby ensuring drying quality and protecting the clothing. Regarding the clothing thickness parameter, the preset thickness condition can be ±0.1mm. For example, if the thickness of the clothing to be dried is marked as 0.5mm, and the preset thickness condition range is 0.4mm to 0.6mm, then the corresponding historical thickness parameter in the historical drying solution can be within the range of 0.4mm to 0.6mm. The scheme within the 0.6 range is determined as the second reference scheme; for clothing load parameters, the preset load condition can be ±1 kg; for example, if the load parameter of the clothes to be dried is 3 kg, and the matching range is set to 2 kg to 4 kg, then the scheme with the corresponding historical thickness parameter within 2 kg to 4 kg in the historical drying scheme can be determined as the third reference scheme; for clothing humidity parameters, the preset humidity condition can be ±10%; for example, if the humidity parameter of the clothes to be dried is 45%, and the matching range is set to 35% to 55%, then the scheme with the corresponding historical humidity parameter within 35% to 55% in the historical drying scheme can be determined as the fourth reference scheme.

[0058] In this embodiment, the number of matching queries for the first reference scheme, the second reference scheme, the third reference scheme, and the fourth reference scheme can be 0, or may include multiple schemes; the possibility of duplicate schemes cannot be ruled out. Therefore, the first reference scheme, the second reference scheme, the third reference scheme, and the fourth reference scheme can be deduplicated based on the scheme identifier to obtain a reference scheme. This reference scheme will serve as an important reference for subsequently determining the target drying scheme.

[0059] The solution provided in this embodiment determines the first reference drying scheme based on the material of the clothing as the primary matching condition, which helps to avoid improper drying due to material differences and ensures drying quality. Selecting a reference drying scheme based on the load helps to rationally plan the allocation of drying resources and avoid incomplete drying due to excessive load or excessive energy consumption due to insufficient load. By selecting a reference drying scheme based on the humidity of the clothing, a more effective drying strategy can be formulated according to the actual humidity of the clothing, ensuring that the clothing can be thoroughly dried while avoiding damage to the clothing caused by over-drying.

[0060] S130. Input the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothing drying model to obtain the target drying scheme, and then dry the clothes to be dried based on the target drying scheme.

[0061] In this embodiment, the reference drying parameters corresponding to the reference drying scheme include reference clothing parameters (such as reference material parameters, reference thickness parameters, reference load parameters, and reference humidity parameters) and reference equipment parameters (such as reference drying time, reference drying temperature, reference drying mode, reference air volume, and reference rotation speed). The clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, reference clothing parameters, and reference equipment parameters are then output to the clothing drying model to obtain the target drying scheme. The target scheme includes the target equipment parameters corresponding to this drying operation, such as target drying time, target drying temperature, target drying mode, target air volume, and target rotation speed. This controls the drive module to drive the motor module to run for the target duration based on the target rotation speed, and controls the drying module to perform the drying operation on the clothing for the target duration based on the target drying temperature, target drying mode, and target air volume.

[0062] This embodiment trains a clothes drying model to output a target drying solution. Since the information input to the model includes the specific characteristics of the clothes to be dried, as well as the reference clothes and equipment parameters corresponding to the reference drying solution, the target drying solution output by the model is customized for the current clothes. The target drying solution fully considers the characteristics of the clothes to be dried, such as the special properties of the material, the specific thickness, the load, and the current humidity. By extracting drying experience from the reference drying solution, the output efficiency and accuracy of the target drying solution can be improved. This ensures the drying effect while maximizing the protection of clothing quality and reducing damage caused by improper drying.

[0063] Optionally, the clothes drying model provided in this embodiment can be trained using a CNN model and an RNN model. The CNN model can effectively extract spatial features from clothing images (such as visual features like material and thickness), uncovering hidden clothing feature information within the image. The RNN model can process sequential data such as historical drying parameters, capturing the changing patterns and temporal relationships of parameters under different drying scenarios. By combining the two, the model can more comprehensively understand the current state of the clothes and their historical drying conditions, thereby generating a drying solution that better meets actual needs.

[0064] Specifically, the training process for a clothes drying model can be as follows: First, a large number of data samples on different clothes drying conditions need to be collected. For each sample, the material, thickness, load, humidity, and corresponding historical drying parameters and the final ideal drying effect of the clothes need to be accurately recorded. Define the parameters in the CNN model, such as defining convolutional layers (to extract local features from clothes-related parameters using multiple convolutional layers), pooling layers (adding pooling layers after convolutional layers to reduce data dimensionality while retaining key features), and unfolding layers (data after pooling layers is usually in three-dimensional tensor form, which needs to be unfolded into two-dimensional tensors for subsequent connection to fully connected layers or RNN model parts). Define the parameters in the RNN model, such as RNN units (e.g., Long Short-Term Memory Network LSTM or Gated Recurrent Unit GRU). Based on the output after connection, add fully connected layers to further integrate features and generate the final drying scheme. Set the loss function according to the output format of the drying scheme and actual needs. Use the prepared training data as input, calculate the predicted drying scheme through the model, and then calculate the loss value based on the predicted value and the true value (labeled drying scheme). Next, the optimizer updates the model's parameters based on the loss value. Repeat these steps until the predetermined number of training epochs is reached or the loss value converges to a certain level, at which point training stops. The trained model is then evaluated using reserved validation data. Appropriate evaluation metrics can be selected based on the output format of the drying scheme, such as mean squared error (MSE), precision, or recall.

[0065] The clothing drying method provided in this embodiment first considers the parameters of the clothes to be dried, ensuring that the target drying plan is tailored to the characteristics of the clothes, thus helping to protect the user's clothing. Next, by determining a reference drying plan from historical drying plans based on the parameters of the clothes to be dried, the efficiency and accuracy of determining the target drying plan are improved, reducing trial-and-error costs. Finally, by analyzing the parameters of the clothes to be dried and the reference drying parameters corresponding to the reference drying plan using a clothing drying model, a personalized drying plan can be accurately and efficiently developed for the clothes to be dried. The solution provided in this embodiment eliminates the need for users to manually select drying modes, simplifying the drying process and achieving the beneficial effects of improving the intelligence of the drying equipment and enhancing the user experience.

[0066] Figure 3 This is another schematic flowchart of the clothes drying method provided in this embodiment of the invention. The relationship between this embodiment and the above embodiments is a further refinement of the corresponding features of the above embodiments. Specifically, the process of "inputting the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothes drying model to obtain the target drying scheme" will be explained in detail.

[0067] like Figure 3 As shown, the clothes drying method may include the following steps:

[0068] S210. Extract features from clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters to obtain the clothing feature sequence of the clothes to be dried.

[0069] By extracting features from clothing material parameters, the material characteristics of the clothes to be dried can be clearly identified, such as water absorption, breathability, and softness. For clothing thickness parameters, feature extraction can be performed by pre-dividing common clothing thickness ranges into three intervals: thin (0-2mm), medium (2mm-5mm), and thick (over 5mm), and encoding them as 0, 1, and 2 respectively. If a garment is 4mm thick, its thickness feature is 1. For clothing load parameters, feature extraction can be performed by pre-dividing load levels and encoding them based on the drying equipment capacity and common clothing load conditions. For example, for a small drying equipment, light load (0-2kg) is encoded as 0, medium load (2-4kg) as 1, and heavy load (over 4kg) as 2. If a garment's load weight is 3kg, its load level is encoded as 1. For clothing humidity parameters, feature extraction can be performed by pre-dividing humidity into different states and encoding them according to the actual drying requirements. For example, clothing can be categorized into three states: wet (humidity greater than 60%), slightly wet (humidity between 30% and 60%), and dry (humidity less than 30%), coded as 0, 1, and 2 respectively. If the humidity percentage of a garment is 40%, its humidity state is coded as 1. The specific methods for feature extraction from clothing material parameters, thickness parameters, load parameters, and humidity parameters are not limited to the examples above.

[0070] By further combining the obtained clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters in a specific order, a clothing feature sequence of the clothes to be dried can be obtained. This constructed clothing feature sequence can serve as an important basis for subsequent intelligent control of the drying process and the formulation of drying strategies, such as adjusting parameters like drying temperature and drying time based on different clothing feature sequences.

[0071] S211. Extract features from the reference material parameters, reference thickness parameters, reference load parameters, and reference humidity parameters corresponding to each reference clothing parameter to obtain the reference feature sequence corresponding to each reference clothing parameter.

[0072] In this embodiment, features are extracted from the reference material parameters, reference thickness parameters, reference load parameters, and reference humidity parameters to obtain the reference feature sequence corresponding to each reference clothing parameter. This method is the same as the method described above for obtaining the clothing feature sequence of the clothing to be dried, and will not be repeated here.

[0073] Optionally, to facilitate data application, historical drying schemes can be stored in the database based on feature sequences. Then, when the current historical drying scheme is selected as the reference drying scheme, the historical feature sequence corresponding to the current historical drying scheme is determined as the reference feature sequence.

[0074] S212. Based on the similarity results between the clothing feature sequence and each reference feature sequence, determine the reference weights of the corresponding reference device parameters.

[0075] Based on the analysis of the above embodiments, assuming that m reference feature sequences R1, R2, ..., R are obtained m The feature sequence of the clothes to be dried is denoted as W. Then, based on a similarity algorithm, the similarity results between the feature sequence W and each reference feature sequence can be obtained. In this embodiment, the similarity algorithm can be Euclidean distance, cosine similarity, or Manhattan distance, etc., and the specific similarity algorithm used is not limited here.

[0076] In this embodiment, the reference equipment parameters include reference drying time, reference drying temperature, reference drying mode, reference air volume, and reference rotation speed. Determining the reference weights for the corresponding reference equipment parameters aims to adjust and optimize the drying parameters (such as drying time, drying temperature, drying mode, air volume, rotation speed, etc.) in the target drying scheme based on these reference weights when subsequently determining the target drying parameters, so as to achieve a more suitable drying effect according to the specific characteristics of the clothes to be dried.

[0077] Specifically, the method for determining the reference weight of the corresponding reference device parameter can be as follows: after obtaining the similarity results between the clothing feature sequence W and each reference feature sequence based on the similarity algorithm, normalize each similarity result so that each similarity result is within the interval [0, 1], so that the normalized similarity value can be directly used as the reference weight of the corresponding reference device parameter.

[0078] S213. Input the clothing feature sequence, reference equipment parameters, and reference weights of each reference equipment parameter into the clothing drying model to obtain the target drying solution.

[0079] The prepared garment feature sequences, reference equipment parameters, and reference weights for each reference equipment parameter are sequentially input into the garment drying model according to the input order and format requirements of the selected model. The garment drying model then performs calculations and processes the input data, outputting the target drying solution. For example, if the model outputs a drying time of 60 minutes, a drying temperature of 50 degrees Celsius, a drying mode of low temperature drying, a medium airflow, and a low rotation speed...

[0080] S220, Dry the clothes to be dried based on the target drying scheme.

[0081] S230: Obtain the remaining time for the target drying program.

[0082] The drying equipment integrates a timing module, whose initial value is set to the total drying time of the target drying scheme. During the drying process, the timer enters a countdown, and the remaining time for the target drying scheme can be obtained by comparing the countdown with the current time displayed by the timer. The purpose of obtaining the remaining time in this embodiment is to clearly know the execution progress of the target drying scheme, so as to check and adjust the drying status at the appropriate time to ensure that the drying effect meets expectations.

[0083] S231. Determine whether the remaining time is greater than the preset time.

[0084] The preset duration can be a preset 5 minutes or 10 minutes, or it can be a duration set by the user. There are no restrictions on the specific preset duration setting.

[0085] If the remaining time is greater than the preset time, then repeat step S220; if the remaining time is not greater than the preset time, then execute step S232.

[0086] S232. Obtain the current clothing load and current clothing humidity when the clothes are currently in the drying state.

[0087] As the drying process is about to end, the load detection component and the humidity detection component are triggered to obtain the current load and humidity of the clothes. Obtaining the current load and humidity of the clothes can more accurately understand the actual drying status of the clothes, preventing insufficient drying and leaving the clothes still damp, thereby ensuring the drying quality.

[0088] S233. Determine whether the drying end conditions are met based on the current clothing load and current clothing humidity.

[0089] The drying end conditions are pre-defined based on factors such as the type of clothing and the performance of the drying equipment. For example, for general cotton clothing, the drying end conditions may be met when the clothing moisture content is below 10% and the change in the clothing load weight compared to the initial load weight before drying does not exceed 5%.

[0090] Specifically, the method for determining whether the drying end condition is met based on the current clothing load and current clothing humidity can be as follows: compare the obtained current clothing load and current clothing humidity with the set drying end condition. If the current clothing humidity is lower than the set humidity threshold and the current clothing load weight change is within the allowable range, then it is determined that the drying end condition is met, i.e., step S235 is executed; if the current clothing humidity is not lower than the set humidity threshold, or the current clothing load weight change is not within the allowable range, then it is determined that the drying end condition is not met, i.e., step S234 is executed.

[0091] This embodiment helps to accurately determine whether the clothes have reached the ideal drying state by judging the current load and humidity of the clothes through the drying termination condition when the remaining time of the target drying program is not greater than the preset time. This helps to decide whether the drying operation can be ended or whether the drying program needs to be further adjusted. This ensures that the dried clothes meet people's expectations for the quality of dried clothes and improves user satisfaction.

[0092] S234. Determine an updated drying plan based on the current clothing load, current clothing humidity, clothing material parameters, and clothing thickness parameters.

[0093] When the drying termination condition is not met, it indicates that there is still a gap between the current clothing load and the current clothing humidity and the ideal values. Therefore, it is necessary to analyze the difference between the current clothing load and the current clothing humidity reaching the ideal state, taking into account the clothing material parameters and clothing thickness parameters. This allows for adjustments to drying parameters such as drying time, drying temperature, drying mode, air volume, and rotation speed to obtain an updated drying plan. The updated drying plan is then input into the drying equipment's control system, enabling the drying equipment to re-dry the clothing according to the updated plan. The drying status is continuously monitored, and the above judgment process is repeated until the drying termination condition is met. The solution provided in this embodiment, when detecting that the clothing has not yet reached the drying requirements, re-evaluates various characteristics and the current state of the clothing, and adjusts the drying plan accordingly to achieve better drying results, allowing the clothing to reach the ideal drying state as quickly as possible. Furthermore, considering the differences in materials and thicknesses among different garments, by combining these characteristics with the current drying state to determine the updated drying plan, it can better adapt to the drying needs of various garments, improving the versatility and applicability of the drying equipment.

[0094] S235. After the control target drying scheme has completed its operation based on the remaining time, the drying operation will end.

[0095] Once it is determined that the current load and humidity of the clothes meet the conditions for ending the drying process, the drying equipment continues to run according to the target drying plan until the timer countdown ends, i.e., the remaining time is zero. Then, a stop command is sent to the control system of the drying equipment to stop the drying equipment, thus officially ending the drying operation.

[0096] In another preferred embodiment, since significant noise is generated during the drying process, to further improve the user experience, this embodiment also considers the user's home status when formulating the drying plan, thereby determining the target drying power in the target drying plan based on the user's home status. Specifically, if the user is at home, the target drying power is determined to be a first multiple of the maximum drying power; if the user is away from home, the target drying power is determined to be a second multiple of the maximum drying power, where the first multiple is not greater than the second multiple.

[0097] One use case is that if the drying equipment is not started during weekday hours, users may leave home after starting the drying equipment. Another use case is that when the drying equipment has a timer function, users may expect their clothes to be dried after they arrive home to avoid the drying equipment starting up while they are at home, causing loud noise and affecting their living experience.

[0098] Therefore, the clothes drying solution provided in this embodiment can control the target drying power to a first multiple of the maximum drying power when the user is detected to be at home. For example, the first multiple could be 0.5 to 0.7, to reduce drying noise and improve user comfort at home. Conversely, when the user is detected to be away from home, the target drying power can be controlled to a second multiple of the maximum drying power, with a maximum value of 1. The specific selection of the first and second multiples can be adjusted based on factors such as the performance of the drying equipment, energy consumption considerations, and actual test results. This embodiment, by considering the user's home situation and determining the target drying power according to a specific multiple relationship when formulating the drying solution, can meet the personalized needs of different users, adapt to different living environments and usage scenarios, and further improve the user experience.

[0099] Optionally, in this embodiment, the method for determining the user's home status can be based on sensing modules (such as radar) integrated into the drying equipment to detect the presence of a user within a certain period of time, or by linking with smart devices in the home to obtain the user's home status information. For example, with the user's authorization, location data from the user's mobile phone can be obtained to determine the user's home status based on the location data; or, a connection can be established with the on / off status of a smart door lock; or "at home" and "away from home" control buttons can be set on the display interface of the drying equipment or in the application connecting the drying equipment and the user's terminal to determine the user's home status based on the user's actual selection, etc. The specific method for determining the user's home status is not limited here.

[0100] The clothing drying method provided in this embodiment calculates the similarity between the clothing feature sequence and the reference feature sequence to determine the reference weight of the reference equipment parameters. This allows for the adjustment and optimization of drying parameters (such as drying time, drying temperature, drying mode, air volume, and rotation speed) in the target drying scheme based on the reference weight, in order to achieve a more suitable drying effect according to the specific characteristics of the clothing to be dried. Furthermore, by setting drying termination conditions to judge the current clothing load and current clothing humidity, it helps to accurately determine whether the clothing has reached the ideal drying state, thereby deciding whether to end the drying operation or whether further adjustments to the drying scheme are needed. This ensures that the dried clothing meets people's expectations for the quality of dried clothing, improving user satisfaction. Finally, by combining the user's household situation to determine the target drying power of the target drying scheme, it can meet the personalized needs of different users, adapt to different living environments and usage scenarios, and further improve the user experience.

[0101] Figure 4 This is a schematic diagram of a clothes drying device provided in an embodiment of the present invention. This device is suitable for performing the clothes drying method provided in the embodiment of the present invention. Figure 4 As shown, the device may specifically include: a parameter acquisition module 410, a scheme determination module 420, and a clothes drying module 430, wherein:

[0102] The parameter acquisition module 410 is used to acquire the clothing parameters of the clothes to be dried, including clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters.

[0103] The scheme determination module 420 is used to determine a reference drying scheme that meets preset conditions from historical drying schemes. The reference drying scheme is a scheme that matches at least one of the following parameters among the historical drying parameters included in the historical drying scheme: the clothing material parameter, the clothing thickness parameter, the clothing load parameter, or the clothing humidity parameter.

[0104] The clothing drying module 430 is used to input the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothing drying model to obtain a target drying scheme, so as to dry the clothing to be dried based on the target drying scheme.

[0105] The clothing drying method provided in this embodiment of the invention first considers the parameters of the clothes to be dried, ensuring that the target drying plan is tailored to the characteristics of the clothes, thus helping to protect the user's clothing. Next, by determining a reference drying plan from historical drying plans based on the parameters of the clothes to be dried, the efficiency and accuracy of determining the target drying plan are improved, reducing trial-and-error costs. Finally, by analyzing the parameters of the clothes to be dried and the reference drying parameters corresponding to the reference drying plan using a clothing drying model, a personalized drying plan can be accurately and efficiently formulated for the clothes to be dried. The solution provided in this embodiment eliminates the need for users to manually select a drying mode, simplifying the drying process and achieving the beneficial effects of improving the intelligence of the drying equipment and enhancing the user experience.

[0106] In one embodiment, the parameter acquisition module 410 is specifically used to acquire an image of the clothes to be dried based on a vision device; extract the texture features and edge features of the clothes image; determine the material parameters of the clothes based on the texture features, and determine the thickness parameters of the clothes based on the edge features; determine the load parameters of the clothes based on a load detection component, and determine the humidity parameters of the clothes based on a humidity detection component.

[0107] In one embodiment, in the historical drying scheme, a scheme identifier corresponds to a set of historical drying parameters, which include historical material parameters, historical thickness parameters, historical load parameters, and historical humidity parameters.

[0108] The scheme determination module 420 is specifically used to determine the historical drying schemes in which the clothing material parameters are consistent with the historical material parameters as the first reference drying scheme; determine the historical drying schemes in which the clothing thickness parameters meet the preset thickness conditions in which the historical thickness parameters are consistent with the clothing thickness parameters as the second reference drying scheme; determine the historical drying schemes in which the clothing load parameters meet the preset load conditions in which the historical load parameters are consistent with the clothing load parameters as the fourth reference drying scheme; and perform deduplication processing on the first reference drying scheme, the second reference drying scheme, the third reference drying scheme, and the fourth reference drying scheme based on the scheme identifier to obtain the reference drying scheme.

[0109] In one embodiment, the reference drying scheme includes reference garment parameters and reference equipment parameters;

[0110] The clothes drying module 430 is specifically used to extract features from the clothing material parameters, clothing thickness parameters, clothing load parameters and clothing humidity parameters to obtain the clothing feature sequence of the clothes to be dried;

[0111] Feature extraction is performed on the reference material parameter, reference thickness parameter, reference load parameter, and reference humidity parameter corresponding to each of the reference garment parameters to obtain a reference feature sequence corresponding to each of the reference garment parameters; based on the similarity results between the garment feature sequence and each of the reference feature sequences, the reference weights of the corresponding reference equipment parameters are determined; the garment feature sequences, the reference equipment parameters, and the reference weights of each of the reference equipment parameters are input into the garment drying model to obtain the target drying solution.

[0112] In one embodiment, the apparatus further includes a scheme update module, wherein:

[0113] The scheme update module is specifically used to obtain the remaining time for running the target drying scheme; when the remaining time is not greater than a preset time, obtain the current clothing load and current clothing humidity in the current drying state; determine whether the drying end condition is met based on the current clothing load and current clothing humidity; when the current clothing load and current clothing humidity do not meet the drying end condition, determine an updated drying scheme based on the current clothing load, current clothing humidity, clothing material parameters, and clothing thickness parameters, and repeat the drying process on the clothing to be dried based on the updated drying scheme;

[0114] The clothes drying module 430 is specifically used to control the target drying program to end the drying operation after the remaining time is completed when the current clothes load and the current clothes humidity meet the drying end condition.

[0115] In one embodiment, the device further includes a power determination module, wherein:

[0116] The power determination module is used to acquire the user's household status and determine the target drying power in the target drying scheme based on the user's household status.

[0117] In one embodiment, the power determination module is specifically used to determine the target drying power as a first multiple of the maximum drying power if the user's home status is at home; and to determine the target drying power as a second multiple of the maximum drying power if the user's home status is away from home, wherein the first multiple is not greater than the second multiple.

[0118] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is merely an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the functional modules described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0119] Please refer to Figure 5 , Figure 5 This is a schematic diagram of a drying device provided in an embodiment of the present invention. The present invention also provides a drying device 500, comprising: at least one processor 510; and a memory 520 communicatively connected to the at least one processor; wherein the memory 520 stores a computer program executable by the at least one processor 510, the computer program being executed by the at least one processor 510 to enable the at least one processor 510 to perform the clothing drying method described in any embodiment of the present invention.

[0120] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the clothes drying method described in any embodiment of this invention.

[0121] This invention also provides a computer-readable medium storing computer instructions that, when executed by a processor, implement the clothes drying method described in any embodiment of this invention.

[0122] The modules and / or units described in the embodiments of the present invention can be implemented in software or hardware. The described modules and / or units can also be housed in a processor; for example, a processor can be described as including a parameter acquisition module, a scheme determination module, and a clothes drying module. The names of these modules do not necessarily limit the module itself.

[0123] In another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiments; or it may exist independently and not assembled into the device. The computer-readable medium carries one or more programs, which, when executed by the device, cause the device to include: acquiring clothing parameters of clothing to be dried, the clothing parameters including clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters; determining a reference drying scheme that meets preset conditions from historical drying schemes, the reference drying scheme being a scheme among the historical drying parameters included in the historical drying schemes that matches at least one of the clothing material parameters, clothing thickness parameters, clothing load parameters, or clothing humidity parameters; inputting the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and the reference drying parameters corresponding to the reference drying scheme into a clothing drying model to obtain a target drying scheme, and drying the clothing to be dried based on the target drying scheme.

[0124] According to the technical solution of this embodiment, by analyzing the clothing parameters of the clothes to be dried and the reference drying parameters corresponding to the reference drying scheme through a clothing drying model, a personalized drying scheme can be accurately and efficiently formulated for the clothes to be dried. This eliminates the need for users to manually select drying modes, simplifies the drying process, and achieves the beneficial effects of improving the intelligence of the drying equipment and enhancing the user experience.

[0125] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for drying clothes, characterized in that, include: Obtain the clothing parameters of the clothes to be dried, including clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters; A reference drying scheme that meets preset conditions is determined from historical drying schemes. The reference drying scheme is a scheme that matches at least one of the clothing parameters among the historical drying parameters included in the historical drying scheme, namely, the clothing material parameter, the clothing thickness parameter, the clothing load parameter, or the clothing humidity parameter. The clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme are input into the clothing drying model to obtain the target drying scheme, so as to dry the clothing to be dried based on the target drying scheme.

2. The clothing drying method according to claim 1, characterized in that, The process of obtaining the parameters of the clothes to be dried includes: Images of clothes to be dried are acquired using vision devices; Extract the texture and edge features of the clothing image; The material parameters of the clothing are determined based on the texture features, and the thickness parameters of the clothing are determined based on the edge features; The load parameters of the clothing are determined based on the load detection component, and the humidity parameters of the clothing are determined based on the humidity detection component.

3. The clothing drying method according to claim 1, characterized in that, In the historical drying schemes, one scheme identifier corresponds to a set of historical drying parameters, which include historical material parameters, historical thickness parameters, historical load parameters, and historical humidity parameters. The step of determining a reference drying scheme that meets preset conditions from historical drying schemes includes: The historical drying scheme in which the clothing material parameters are consistent with the historical material parameters is determined as the first reference drying scheme; the historical drying scheme in which the clothing thickness parameters meet the preset thickness conditions with the historical thickness parameters is determined as the second reference drying scheme; the historical drying scheme in which the clothing load parameters meet the preset load conditions with the historical load parameters is determined as the third reference drying scheme; and the historical drying scheme in which the clothing humidity parameters meet the preset humidity conditions with the historical full load parameters is determined as the fourth reference drying scheme. Based on the scheme identifier, the first reference drying scheme, the second reference drying scheme, the third reference drying scheme, and the fourth reference drying scheme are deduplicated to obtain the reference drying scheme.

4. The clothing drying method according to claim 1, characterized in that, The reference drying scheme includes reference garment parameters and reference equipment parameters; The step of inputting the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothing drying model to obtain the target drying scheme includes: Feature extraction is performed on the clothing material parameters, clothing thickness parameters, clothing load parameters, and clothing humidity parameters to obtain the clothing feature sequence of the clothing to be dried; Feature extraction is performed on the reference material parameter, reference thickness parameter, reference load parameter and reference humidity parameter corresponding to each of the reference clothing parameters to obtain the reference feature sequence corresponding to each of the reference clothing parameters; Based on the similarity results between the clothing feature sequence and each of the reference feature sequences, the reference weights of the corresponding reference device parameters are determined respectively. The clothing feature sequence, the reference device parameters, and the reference weight of each reference device parameter are input into the clothing drying model to obtain the target drying solution.

5. The clothing drying method according to claim 1, characterized in that, In the process of drying the clothes to be dried based on the target drying scheme, the method further includes: Obtain the remaining time for running the target drying program; When the remaining time is not greater than the preset time, obtain the current clothing load and current clothing humidity in the drying state; Determine whether the drying end condition is met based on the current clothing load and the current clothing humidity. When the current clothing load and the current clothing humidity do not meet the drying end condition, an updated drying plan is determined based on the current clothing load, the current clothing humidity, the clothing material parameters, and the clothing thickness parameters. Based on the updated drying plan, the operation of drying the clothes to be dried is repeated. When the current clothing load and the current clothing humidity meet the drying end condition, the target drying program is controlled to finish running based on the remaining time, and then the drying operation ends.

6. The clothes drying method according to claim 1, characterized in that, After obtaining the parameters of the clothes to be dried, the process also includes: Obtain the user's household status and determine the target drying power in the target drying scheme based on the user's household status.

7. The clothing drying method according to claim 6, characterized in that, Determining the target drying power in the target drying scheme based on the user's household status includes: If the user's home status is "at home", then the target drying power is determined to be a first multiple of the maximum drying power; If the user's home status is "away from home", then the target drying power is determined to be a second multiple of the maximum drying power, where the first multiple is not greater than the second multiple.

8. A clothes drying device, characterized in that, The device includes: The parameter acquisition module is used to acquire the parameters of the clothes to be dried, including the material parameters, thickness parameters, load parameters, and humidity parameters. The scheme determination module is used to determine a reference drying scheme that meets preset conditions from historical drying schemes. The reference drying scheme is a scheme that matches at least one of the following parameters among the historical drying parameters included in the historical drying scheme: the clothing material parameter, the clothing thickness parameter, the clothing load parameter, or the clothing humidity parameter. The clothing drying module is used to input the clothing material parameters, clothing thickness parameters, clothing load parameters, clothing humidity parameters, and reference drying parameters corresponding to the reference drying scheme into the clothing drying model to obtain the target drying scheme, so as to dry the clothing to be dried based on the target drying scheme.

9. A drying device, characterized in that, The drying equipment includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the clothes drying method according to any one of claims 1-7.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the clothes drying method according to any one of claims 1-7.

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