Clothes cleaning and drying method, device, equipment and medium

Abstract

The invention discloses a clothes cleaning and drying method and device, equipment and a medium, and belongs to the technical field of equipment control. The method comprises the steps that the surface of a to-be-cleaned object is cleaned through an arranged high-pressure micro-mist spraying device; in the cleaning process, the pollutant adsorption degree of the surface of the cleaned object is determined, and the spraying parameters of the high-pressure micro-mist spraying device are adjusted based on the pollutant adsorption degree; drying airflow is filtered through a high-efficiency air filter, so that the surface of the cleaned object is dried through the drying airflow; and in the drying process, the temperature gradient distribution and the environment cleanliness of the surface of the cleaned object are determined, and drying parameters are adjusted based on the temperature gradient distribution and the environment cleanliness. According to the technical scheme, ultra-clean cleaning and purification drying integrated treatment on articles such as clothes is achieved, and the strict requirement of a high-cleanliness scene for the cleanliness of the surface of the clothes is met.

Description

Technical Field

[0001] The present application belongs to the field of equipment control technology, and specifically relates to a method, device, equipment and medium for washing and drying clothes. Background Art

[0002] In scenarios with strict cleanliness requirements such as biopharmaceuticals, microelectronics manufacturing, and precision laboratories, the surface cleanliness of the clothing worn by workers directly affects production safety and experimental accuracy.

[0003] Traditional cleaning methods rely on water washing or conventional dry cleaning. Due to the absorbent nature of clothing fibers, detergent residue is easily retained. Friction between clothing and the machine also creates new contaminants, such as tiny fiber fragments, resulting in incomplete removal. Furthermore, during conventional drying, suspended particles carried by unfiltered airflow easily reattach to clothing surfaces, causing secondary contamination and failing to meet the cleanliness requirements of high-purity environments. Therefore, there is an urgent need for an integrated solution that integrates ultra-clean cleaning and purification and drying to achieve the high cleanliness requirements for clothing. Summary of the Invention

[0004] The embodiments of the present application provide a method, device, equipment and medium for washing and drying clothes, the purpose of which is to achieve integrated ultra-clean cleaning, purification and drying of clothes and other items, and meet the strict requirements for the surface cleanliness of clothes in high-cleanliness scenarios.

[0005] In a first aspect, an embodiment of the present application provides a method for washing and drying clothes, the method comprising: The surface of the cleaning items is cleaned by the high-pressure micro-mist spray device; Determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process, and adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants; filtering a drying airflow through a high-efficiency air filter so as to dry the surface of the cleaning article through the drying airflow; During the drying process, the temperature gradient distribution on the surface of the cleaning items and the environmental cleanliness are determined, and the drying parameters are adjusted based on the temperature gradient distribution and the environmental cleanliness.

[0006] Optionally, before adjusting the spray parameters of the high-pressure fine mist spray device based on the pollutant adsorption degree, the method further includes: Acquiring image data of the surface of the cleaning object, and identifying whether there are water droplet features on the surface of the cleaning object in the image data; extracting water droplet feature parameters based on the image data when it is identified that water droplet features exist on the surface of the cleaning object in the image data; Accordingly, the step of adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants includes: When it is identified in the image data that water droplet features exist on the surface of the cleaning object, the spray parameters of the high-pressure fine mist spray device are adjusted based on the degree of adsorption of pollutants and the water droplet feature parameters.

[0007] Optionally, the water droplet characteristic parameters include water droplet size parameters, and the spraying parameters include spraying pressure; Accordingly, adjusting the spray parameters of the high-pressure fine mist spray device based on the pollutant adsorption degree and the water droplet characteristic parameters includes: Determining a spray pressure increase coefficient based on the pollutant adsorption degree and determining a spray pressure reduction coefficient based on the water droplet size parameter; A target injection pressure is determined based on the basic injection pressure, the injection pressure increase coefficient, and the injection pressure reduction coefficient.

[0008] Optionally, determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process includes: Acquiring reflection spectrum data of the surface of the cleaning object; Calculating the reflectivity difference between the reflectivity at each wavelength point in the reflectivity spectrum data and the reference reflectivity; Determining a characteristic wavelength interval according to the reflectivity difference, and calculating an average reflectivity difference of the characteristic wavelength interval; The degree of adsorption of pollutants on the surface of the cleaning object is determined according to the average reflectivity difference.

[0009] Optionally, determining a characteristic wavelength range according to the reflectivity difference includes: Selecting continuous wavelength points whose reflectivity difference exceeds a preset difference threshold as candidate wavelength intervals; Performing significance analysis on each candidate wavelength interval to obtain the significance level of each candidate wavelength interval; The candidate wavelength interval whose significance level exceeds a preset significance threshold is determined as a characteristic wavelength interval.

[0010] Optionally, the drying parameters include drying wind speed and drying temperature; Accordingly, adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness includes: When the environmental cleanliness is lower than the preset cleanliness threshold, the drying wind speed is increased to the rated drying wind speed, and the drying temperature is lowered by a preset temperature until the environmental cleanliness reaches the preset cleanliness threshold; When the environmental cleanliness is not lower than a preset cleanliness threshold, the drying wind speed and the drying temperature are adjusted based on the temperature gradient distribution.

[0011] Optionally, adjusting the drying wind speed and the drying temperature based on the temperature gradient distribution includes: determining a thermal stress deformation risk level according to the temperature gradient distribution; When the thermal stress deformation risk level is a low risk level, maintaining the drying wind speed and the drying temperature unchanged; When the thermal stress deformation risk level is a medium risk level, the drying temperature is maintained unchanged, and the drying wind speed is increased according to a first preset adjustment coefficient; When the thermal stress deformation risk level is a high risk level, the drying wind speed is increased according to a second preset adjustment coefficient, and the drying temperature is reduced according to the second preset adjustment coefficient.

[0012] In a second aspect, an embodiment of the present application provides a clothes washing and drying device, the device comprising: A cleaning control module is used to clean the surface of the cleaning object through a high-pressure micro-mist spray device; a spray parameter adjustment module for determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process and adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants; a drying control module, configured to filter a drying airflow through a high-efficiency air filter so as to dry the surface of the cleaning article through the drying airflow; The drying parameter adjustment module is used to determine the temperature gradient distribution on the surface of the cleaning object and the environmental cleanliness during the drying process, and adjust the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

[0013] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0015] In an embodiment of the present application, a high-pressure fine mist spray device is provided to clean the surface of the cleaning item; during the cleaning process, the degree of adsorption of pollutants on the surface of the cleaning item is determined, and the spray parameters of the high-pressure fine mist spray device are adjusted based on the degree of adsorption of pollutants; a drying airflow is filtered through a high-efficiency air filter to dry the surface of the cleaning item through the drying airflow; during the drying process, the temperature gradient distribution on the surface of the cleaning item and the environmental cleanliness are determined, and the drying parameters are adjusted based on the temperature gradient distribution and the environmental cleanliness. The above-mentioned clothing washing and drying method realizes the integrated processing of ultra-clean cleaning and purification and drying of clothing and other items, meeting the stringent requirements for the cleanliness of clothing surfaces in high-cleanliness scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for washing and drying clothes provided in an embodiment of the present application; Figure 2 This is a flow chart of another method for washing and drying clothes provided in an embodiment of the present application; Figure 3 This is a flow chart of another method for washing and drying clothes provided in an embodiment of the present application; Figure 4 1 is a flow chart of another method for washing and drying clothes provided in an embodiment of the present application; Figure 5 This is a structural diagram of a clothes washing and drying device provided in an embodiment of the present application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] To further clarify the objectives, technical solutions, and advantages of this application, specific embodiments of the present application are described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are intended only to illustrate this application and are not intended to limit it. It should also be noted that, for ease of description, the drawings only illustrate portions relevant to this application, not all of them. Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts depict the various operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process may terminate upon completion of its operations, but may also include additional steps not shown in the accompanying drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, or the like.

[0018] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly described. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art belong to the scope of protection of the present application.

[0019] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than that illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of a kind and do not limit the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims indicates at least one of the connected objects, and the character " / " generally indicates that the front and rear associated objects are in an "or" relationship.

[0020] The laundry cleaning and drying method, device, equipment and medium provided by the embodiments of the present application will be described in detail below in combination with the drawings, through specific embodiments and application scenarios.

[0021] Firstly, the present application is applicable to the scene where the surface cleanliness of the cleaning object is required to be high. Based on the above use scenario, it can be understood that the execution subject of the present application can be a main control PC (Printed Circuit) board of a cleaning and drying integrated equipment. Specifically, the adjustment and control of the spraying parameters of the high-pressure micro-fog spraying device and the adjustment and control of the drying parameters can be executed by the main control PC board, and the high cleanliness of the surface of the cleaning object is comprehensively ensured by dynamically adjusting the spraying parameters of the high-pressure micro-fog spraying device and the drying parameters. The cleaning and drying integrated equipment can be an equipment integrating cleaning function and drying function.

[0022] Figure 1 is a flowchart of a laundry cleaning and drying method provided by an embodiment of the present application. As shown in Figure 1 , the method specifically comprises the following steps: S101, cleaning the surface of the cleaning object by the set high-pressure micro-fog spraying device.

[0023] The cleaning object can be various objects, such as clothes, which need to be cleaned and dried by the cleaning and drying integrated equipment.

[0024] The high-pressure micro-fog spraying device can be a device that pressurizes water or cleaning agent to a specific pressure by a high-pressure pump, and then forms micron-sized fog droplets through a fine nozzle, which can efficiently strip the surface contaminants of the cleaning object without damaging the fibers.

[0025] In one embodiment, the method of cleaning the surface of the cleaning object by setting up a high-pressure micro-mist spray device can generate a control instruction based on the preset initial spray parameters, and send the control instruction to the high-pressure micro-mist spray device, so that the high-pressure micro-mist spray device cleans the surface of the cleaning object according to the preset initial spray parameters.

[0026] S102, determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process, and adjusting the spray parameters of the high-pressure fine mist spraying device based on the degree of adsorption of pollutants.

[0027] The degree of adsorption of pollutants on the surface of the cleaning article may refer to a quantitative value of the bonding strength between the pollutants on the surface of the cleaning article and the cleaning article.

[0028] In one embodiment, the degree of adsorption of contaminants on the surface of the cleaning item during the cleaning process can be determined by obtaining reflectance spectrum data of the surface of the cleaning item, calculating the reflectance difference between the reflectance of each wavelength point in the reflectance spectrum data and the reference reflectance, determining a characteristic wavelength range based on the reflectance difference, calculating the average reflectance difference of the characteristic wavelength range, and determining the degree of adsorption of contaminants on the surface of the cleaning item based on the average reflectance difference.

[0029] Among them, the injection parameters of the high-pressure fine mist injection device may refer to key parameters that directly affect the cleaning strength, range and efficiency, and may include injection pressure, nozzle angle, spray flow rate and injection distance, etc.

[0030] In one embodiment, the method of adjusting the injection parameters of the high-pressure micro-mist injection device based on the degree of pollutant adsorption can adopt a pre-constructed mapping relationship between the pollutant adsorption degree interval and the injection parameter adjustment scheme of the high-pressure micro-mist injection device, and determine the target injection parameter adjustment scheme of the high-pressure micro-mist injection device according to the current pollutant adsorption degree and the mapping relationship, and adjust the injection parameters of the high-pressure micro-mist injection device based on the target injection parameter adjustment scheme.

[0031] S103, filtering the drying airflow through a high efficiency air filter to dry the surface of the cleaning object through the drying airflow.

[0032] Among them, a high-efficiency air filter may refer to a device that can remove pollutants such as suspended particulate matter and microorganisms in the air flow.

[0033] The drying airflow may refer to clean air that has been heated.

[0034] In one embodiment, the drying air flow is filtered by a high-efficiency air filter. The drying air flow first passes through a primary air filter to remove large particle pollutants, then passes through a high-efficiency air filter for deep filtration, and finally is sent into a space for storing cleaning items.

[0035] S104, determining the temperature gradient distribution on the surface of the cleaning object and the environmental cleanliness during the drying process, and adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

[0036] The temperature gradient distribution may refer to the temperature difference between different positions on the surface of the cleaning item, which is usually expressed as a temperature difference value (degrees per centimeter, ℃ / cm).

[0037] In one embodiment, the temperature gradient distribution on the surface of the cleaning item is determined during the drying process by obtaining a temperature field image of the surface of the cleaning item in real time using an infrared thermal imager, and calculating the temperature difference between various positions on the surface of the cleaning item based on the temperature field image to obtain the temperature gradient distribution.

[0038] The environmental cleanliness may refer to the concentration of suspended particulate matter in the air within the space where cleaning items are stored.

[0039] In one embodiment, the environmental cleanliness can be determined during the drying process by using a laser particle counter to obtain the number of particles in the air in the space where the laundry items are stored, and then dividing the number of particles by the volume of the space where the laundry items are stored to obtain the environmental cleanliness.

[0040] The drying parameters may refer to key parameters that directly affect the drying efficiency, the surface condition of the cleaned items, and the cleanliness of the drying process, and may include drying wind speed and drying temperature.

[0041] In one embodiment, the method of adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness can be adopted by pre-building the temperature difference mean and the mapping relationship between the environmental cleanliness and the drying parameter adjustment scheme, and calculating the current temperature difference mean based on the current temperature gradient distribution, determining the target drying parameter adjustment scheme according to the current temperature difference mean, environmental cleanliness and the mapping relationship, and adjusting the drying parameters based on the target drying parameter adjustment scheme.

[0042] In an embodiment of the present application, a high-pressure fine mist spray device is provided to clean the surface of the cleaning item; during the cleaning process, the degree of adsorption of pollutants on the surface of the cleaning item is determined, and the spray parameters of the high-pressure fine mist spray device are adjusted based on the degree of adsorption of pollutants; a drying airflow is filtered through a high-efficiency air filter to dry the surface of the cleaning item through the drying airflow; during the drying process, the temperature gradient distribution on the surface of the cleaning item and the environmental cleanliness are determined, and the drying parameters are adjusted based on the temperature gradient distribution and the environmental cleanliness. The above-mentioned clothing washing and drying method realizes the integrated processing of ultra-clean cleaning and purification and drying of clothing and other items, meeting the stringent requirements for the cleanliness of clothing surfaces in high-cleanliness scenarios.

[0043] Figure 2 This is a flow chart of another method for washing and drying clothes provided in an embodiment of the present application. Figure 2 As shown, the specific steps include: S201, cleaning the surface of the cleaning object by using a high-pressure micro-mist spraying device.

[0044] S202: Determine the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process.

[0045] S203: Acquire image data of the surface of the cleaning object, and identify whether there are water drop features on the surface of the cleaning object in the image data.

[0046] The image data may refer to visual information obtained by photographing the surface of the cleaning object.

[0047] In one embodiment, the image data of the surface of the cleaning object may be obtained by using an image sensor.

[0048] The water droplet characteristics may refer to the morphological characteristics of the water droplets on the surface of the cleaning object.

[0049] In one embodiment, a method for identifying whether water droplet features exist on the surface of a cleaned item in image data may employ a deep learning-based image recognition algorithm to extract and classify features from the image data using a trained convolutional neural network model to identify whether water droplet features exist. Traditional machine vision methods may also be employed to set color thresholds and edge features of water droplets and perform morphological analysis and recognition based on the color thresholds and edge features.

[0050] S204 : When it is identified in the image data that water drop features exist on the surface of the cleaning object, extract water drop feature parameters based on the image data.

[0051] The water droplet characteristic parameters may be specific numerical indicators that can quantitatively describe the water droplet characteristics, and may include water droplet size parameters.

[0052] In one embodiment, based on the method of extracting water droplet characteristic parameters from image data, image segmentation technology can be used to separate the water droplet area, and then the water droplet characteristic parameters can be obtained through methods such as pixel analysis and morphological calculation.

[0053] S205 , adjusting the spray parameters of the high-pressure fine mist spray device based on the pollutant adsorption degree and the water droplet characteristic parameters.

[0054] In one embodiment, the method of adjusting the injection parameters of the high-pressure micro-mist injection device based on the degree of pollutant adsorption and the characteristic parameters of water droplets can adopt a pre-constructed mapping relationship between the degree of pollutant adsorption and the characteristic parameters of water droplets and the injection parameter adjustment scheme of the high-pressure micro-mist injection device, and determine the target injection parameter adjustment scheme based on the current degree of pollutant adsorption and the characteristic parameters of water droplets and the mapping relationship, and adjust the injection parameters of the high-pressure micro-mist injection device based on the target injection parameter adjustment scheme.

[0055] Optionally, the water droplet characteristic parameters include water droplet size parameters, and the spraying parameters include spraying pressure; Accordingly, adjusting the spray parameters of the high-pressure fine mist spray device based on the pollutant adsorption degree and the water droplet characteristic parameters includes: Determining a spray pressure increase coefficient based on the pollutant adsorption degree and determining a spray pressure reduction coefficient based on the water droplet size parameter; A target injection pressure is determined based on the basic injection pressure, the injection pressure increase coefficient, and the injection pressure reduction coefficient.

[0056] The spray pressure may refer to the pressure value applied to the cleaning liquid (such as water, detergent) by the high-pressure fine mist spray device through the pump body or the air pressure device when the cleaning liquid is sprayed.

[0057] The injection pressure increase coefficient may be a proportional coefficient determined according to the degree of pollutant adsorption and used to increase the injection pressure. The higher the degree of pollutant adsorption, the greater the injection pressure increase coefficient.

[0058] In one embodiment, the method of determining the injection pressure increase coefficient according to the degree of pollutant adsorption can be adopted. The pollutant adsorption degree can be pre-divided into multiple levels, and an injection pressure increase coefficient can be preset for each level. The injection pressure increase coefficient corresponding to the level to which the current pollutant adsorption degree belongs can be determined as the current injection pressure increase coefficient; it can also be adopted to establish a functional relationship between the pollutant adsorption degree and the injection pressure increase coefficient through experiments, and substitute the current pollutant adsorption degree into the functional relationship to obtain the injection pressure increase coefficient.

[0059] The water droplet size parameter may refer to the average diameter of a single water droplet.

[0060] The injection pressure reduction coefficient may be a proportional coefficient determined according to a water droplet size parameter and used to reduce the injection pressure. The larger the water droplet size parameter, the larger the injection pressure reduction coefficient.

[0061] In one embodiment, the method of determining the injection pressure reduction coefficient based on the water droplet size parameter can be adopted. The water droplet size parameter can be pre-divided into multiple levels, and an injection pressure reduction coefficient can be preset for each level. The injection pressure reduction coefficient corresponding to the level to which the current water droplet size parameter belongs is determined as the current injection pressure reduction coefficient; it can also be adopted to establish a functional relationship between the water droplet size parameter and the injection pressure reduction coefficient through experiments, and substitute the current water droplet size parameter into the functional relationship to obtain the injection pressure reduction coefficient.

[0062] The basic injection pressure may refer to the current injection pressure of the high-pressure fine mist injection device.

[0063] The target injection pressure may refer to the injection pressure that the high-pressure fine mist injection device needs to achieve.

[0064] In one embodiment, the target injection pressure is determined based on the basic injection pressure, the injection pressure increase coefficient, and the injection pressure reduction coefficient. The injection pressure adjustment coefficient can be obtained by subtracting the injection pressure reduction coefficient from the injection pressure increase coefficient and adding it to 1, and the basic injection pressure is multiplied by the injection pressure adjustment coefficient to obtain the target injection pressure.

[0065] The advantage of this arrangement of the present scheme is that the injection pressure increase coefficient is determined according to the degree of pollutant adsorption, the injection pressure reduction coefficient is determined according to the water droplet size parameters, and the target injection pressure is determined according to the basic injection pressure, the injection pressure increase coefficient and the injection pressure reduction coefficient. This can ensure the cleaning effect while avoiding excessive splashing of water droplets or damage to the cleaning items due to excessively high injection pressure, thereby achieving precise control and optimization of the cleaning process.

[0066] S206, filtering the drying airflow through a high-efficiency air filter to dry the surface of the cleaning object through the drying airflow.

[0067] S207, determining the temperature gradient distribution of the surface of the cleaning object and the environmental cleanliness during the drying process, and adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

[0068] The advantage of this scheme is that by adjusting the spraying parameters of the high-pressure micro-mist spraying device based on the degree of contamination adsorption and the water droplet feature parameters in the image data when it is identified that there are water droplet features on the surface of the cleaning object in the image data, real-time dynamic adjustment of the cleaning process can be realized, which can effectively remove contaminants, avoid water resource waste and damage to the cleaning object, and improve cleaning efficiency and quality.

[0069] Figure 3 is another flowchart of a clothes cleaning and drying method provided by the present application. As shown in the figure, the method comprises the following steps: Figure 3 S301, cleaning the surface of the cleaning object through the set high-pressure micro-mist spraying device.

[0070] S302, obtaining the reflectance spectrum data of the surface of the cleaning object.

[0071] The reflectance spectrum data can refer to the reflectivity data of the surface of the cleaning object to different wavelengths of light.

[0072] In one embodiment, the reflectance spectrum data of the surface of the cleaning object can be obtained by irradiating the surface of the cleaning object with a fiber spectrometer and collecting the reflectivity of each wavelength point at a predetermined wavelength interval to obtain the reflectance spectrum data.

[0073] S303, calculating the reflectivity difference between each wavelength point in the reflectance spectrum data and the reference reflectivity.

[0074] The wavelength point can refer to a specific wavelength value selected during the acquisition of the reflectance spectrum data.

[0075] The reflectivity of a wavelength point can refer to the ratio of the intensity of the reflected light to the intensity of the incident light on the surface of the cleaning object under the irradiation of light at the wavelength point.

[0076] The reference reflectivity can refer to the average reflectivity of a clean object of the same material.

[0077] The reflectivity difference can refer to the difference between the reflectivity of each wavelength point and the reference reflectivity.

[0078] ​In one embodiment, the reflectivity difference between the reflectivity at each wavelength point in the reflectivity spectrum data and the reference reflectivity can be calculated by subtracting the reference reflectivity from the reflectivity at each wavelength point in the reflectivity spectrum data to obtain the reflectivity difference at each wavelength point.

[0079] S304: Determine a characteristic wavelength interval according to the reflectivity difference, and calculate an average reflectivity difference of the characteristic wavelength interval.

[0080] The characteristic wavelength range may refer to a specific continuous wavelength range that can significantly reflect the presence of pollutants.

[0081] In one embodiment, the characteristic wavelength interval is determined according to the reflectivity difference, and continuous wavelength points whose reflectivity difference exceeds a preset difference threshold may be selected as the candidate wavelength interval.

[0082] Optionally, determining a characteristic wavelength range according to the reflectivity difference includes: Selecting continuous wavelength points whose reflectivity difference exceeds a preset difference threshold as candidate wavelength intervals; Performing significance analysis on each candidate wavelength interval to obtain the significance level of each candidate wavelength interval; The candidate wavelength interval whose significance level exceeds a preset significance threshold is determined as a characteristic wavelength interval.

[0083] The preset difference threshold may be a pre-set critical value for screening wavelength points with significant reflectivity differences.

[0084] The continuous wavelength points may refer to a plurality of wavelength points whose wavelength values ​​are adjacent to each other in sequence without any gap.

[0085] The candidate wavelength interval may refer to a wavelength range consisting of continuous wavelength points whose reflectivity difference exceeds a preset difference threshold, and is an alternative object for subsequent further screening of characteristic wavelength intervals.

[0086] In one embodiment, a method of selecting continuous wavelength points whose reflectivity differences exceed a preset difference threshold as candidate wavelength intervals can be adopted by traversing the entire spectral wavelength range and judging one by one whether the reflectivity difference of each wavelength point exceeds the preset difference threshold. When it is detected that the reflectivity differences of multiple consecutive wavelength points all exceed the preset difference threshold, these consecutive wavelength points are merged into one candidate wavelength interval. If the reflectivity differences of adjacent wavelength points do not exceed the preset difference threshold, the current candidate wavelength interval is terminated and the next potential candidate wavelength interval is detected.

[0087] The significance analysis may be an analysis method for evaluating whether the reflectivity difference within the candidate wavelength interval is statistically significant. The significance level may be a quantitative indicator for measuring the significance of the reflectivity difference within the candidate wavelength interval.

[0088] In one embodiment, a significance analysis is performed on each candidate wavelength interval to obtain the significance level of each candidate wavelength interval. For each candidate wavelength interval, the standard deviation of the reflectivity differences of all wavelength points in the candidate wavelength interval is calculated, and the inverse of the standard deviation is calculated as the significance level.

[0089] The preset significance threshold may be a pre-set critical value of a significance level for determining whether a candidate wavelength interval has statistical significance.

[0090] In one embodiment, a method for determining a candidate wavelength interval whose significance level exceeds a preset significance threshold as a characteristic wavelength interval can be adopted by comparing the significance level of each candidate wavelength interval with the preset significance threshold, retaining all candidate wavelength intervals whose significance level exceeds the preset significance threshold, and formally determining them as characteristic wavelength intervals; if the significance level of a candidate wavelength interval does not exceed the preset significance threshold, it is eliminated.

[0091] The advantage of this approach is that by selecting consecutive wavelength points whose reflectance differences exceed a preset difference threshold as candidate wavelength intervals, and determining the candidate wavelength intervals whose significance levels exceed the preset significance threshold as characteristic wavelength intervals, the interference of irrelevant wavelengths can be effectively eliminated, and the wavelength range that truly reflects the characteristics of the pollutants can be accurately located.

[0092] The average reflectivity difference in the characteristic wavelength interval may refer to the average value of the reflectivity differences at each wavelength point in the characteristic wavelength interval.

[0093] The average reflectivity difference of the characteristic wavelength interval can be calculated by adding the reflectivity differences of each wavelength point in the characteristic wavelength interval and dividing the sum by the total number of wavelength points in the characteristic wavelength interval to obtain the average reflectivity difference of the characteristic wavelength interval.

[0094] S305: Determine the degree of adsorption of pollutants on the surface of the cleaning object according to the average reflectivity difference.

[0095] In one embodiment, the degree of adsorption of pollutants on the surface of the cleaning article may be determined based on the average reflectivity difference. The average reflectivity difference may be divided by a reference reflectivity to obtain the degree of adsorption of pollutants on the surface of the cleaning article.

[0096] S306: Adjust the spray parameters of the high-pressure fine mist spray device based on the degree of pollutant adsorption.

[0097] S307: filtering the drying airflow through a high-efficiency air filter to dry the surface of the cleaning object through the drying airflow.

[0098] S308: Determine the temperature gradient distribution on the surface of the cleaning object and the environmental cleanliness during the drying process, and adjust the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

[0099] The benefit of this arrangement of the present scheme is that by obtaining the reflectance spectrum data of the surface of the cleaning item, determining the characteristic wavelength range based on the reflectance spectrum data, and determining the degree of adsorption of pollutants on the surface of the cleaning item based on the average reflectance difference in the characteristic wavelength range, an accurate and objective quantitative assessment of the degree of adsorption of pollutants on the surface of the cleaning item can be achieved.

[0100] Figure 4 This is a flow chart of another method for washing and drying clothes provided in the embodiment of the present application. Figure 4 As shown, the specific steps include: S401, cleaning the surface of the cleaning object by using a high-pressure micro-mist spray device; S402, determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process, and adjusting the spray parameters of the high-pressure fine mist spraying device based on the degree of adsorption of pollutants; S403, filtering the drying airflow through a high-efficiency air filter to dry the surface of the cleaning object through the drying airflow; S404, determining the temperature gradient distribution on the surface of the cleaning article and the environmental cleanliness during the drying process; S405 , when the environmental cleanliness is lower than a preset cleanliness threshold, the drying wind speed is increased to a rated drying wind speed, and the drying temperature is lowered by a preset temperature until the environmental cleanliness reaches the preset cleanliness threshold.

[0101] The preset cleanliness threshold may be a pre-set critical value of environmental cleanliness used to determine whether the drying environment meets the cleanliness requirements.

[0102] Among them, if the environmental cleanliness is lower than the preset cleanliness threshold, it means that the pollutant content in the current drying environment exceeds the prescribed standard. If drying continues according to the current drying parameters, it may cause secondary contamination of the cleaned items.

[0103] The drying wind speed may refer to the flow speed of the drying airflow passing through the surface of the items to be cleaned.

[0104] The rated drying wind speed may refer to the designed maximum safe drying wind speed or the upper limit of the optimal drying wind speed.

[0105] In one embodiment, the drying wind speed can be increased to the rated drying wind speed by controlling the fan power output to gradually increase the drying wind speed to the rated drying wind speed.

[0106] The drying temperature may refer to the temperature of the drying airflow.

[0107] The preset temperature may be a pre-set drying temperature value that needs to be lowered when the environmental cleanliness is lower than a preset cleanliness threshold.

[0108] In one embodiment, the drying temperature can be lowered to a preset temperature by determining a target drying temperature based on the current drying temperature and the preset temperature, adjusting the output power of the heating device, and monitoring the drying temperature in real time through a temperature sensor. When the drying temperature drops to the target drying temperature, it remains stable.

[0109] S406 : When the environmental cleanliness is not lower than a preset cleanliness threshold, adjust the drying wind speed and the drying temperature based on the temperature gradient distribution.

[0110] Among them, the environmental cleanliness is not lower than the preset cleanliness threshold, which means that the pollutant content in the current drying environment is within the allowable range. There is no need to disperse the pollutants through strong wind speed. The drying uniformity can be ensured by optimizing the drying temperature and drying wind speed.

[0111] Optionally, adjusting the drying wind speed and the drying temperature based on the temperature gradient distribution includes: determining a thermal stress deformation risk level according to the temperature gradient distribution; When the thermal stress deformation risk level is a low risk level, maintaining the drying wind speed and the drying temperature unchanged; When the thermal stress deformation risk level is a medium risk level, maintaining the drying temperature unchanged, and increasing the drying wind speed according to a first preset adjustment coefficient; When the thermal stress deformation risk level is a high risk level, the drying wind speed is increased according to a second preset adjustment coefficient, and the drying temperature is reduced according to the second preset adjustment coefficient.

[0112] Among them, the thermal stress deformation risk level can be assessed based on the temperature gradient distribution on the surface of the cleaning items, and the possibility of deformation of the cleaning items due to thermal stress generated by uneven heating of different parts. It can be divided into three levels: low, medium and high.

[0113] In one embodiment, the method of determining the thermal stress deformation risk level based on the temperature gradient distribution can be adopted to determine the maximum temperature difference value and the average temperature difference value based on the temperature gradient distribution, and determine the current thermal stress deformation risk level based on the maximum temperature difference value, the average temperature difference value and the pre-constructed mapping relationship between the maximum temperature difference value, the average temperature difference value and the thermal stress deformation risk level.

[0114] Among them, the thermal stress deformation risk level is a low risk level, which means that the surface temperature of the cleaned items is evenly distributed, and the possibility of deformation due to thermal stress is extremely small, so there is no need to adjust the drying parameters.

[0115] In one embodiment, the drying wind speed and drying temperature can be kept constant by locking the current fan power and the output power of the heating device, and monitoring the fluctuations of the drying wind speed and drying temperature in real time through sensors. If fluctuation deviations occur, timely fine-tuning is performed to maintain stability.

[0116] Among them, the thermal stress deformation risk level is a medium risk level, indicating that there is a certain temperature difference on the surface of the cleaned items. If the current drying parameters continue, the deformation risk may increase. It is necessary to promote heat exchange by optimizing the drying wind speed to balance the temperature.

[0117] The first preset adjustment coefficient may be a pre-set proportional coefficient for increasing the drying wind speed at a medium risk level, such as 1.2.

[0118] In one embodiment, the drying temperature is kept constant, and the drying wind speed is increased according to the first preset adjustment coefficient. The target drying wind speed can be obtained by multiplying the first preset adjustment coefficient by the current drying wind speed, and the drying wind speed can be gradually increased to the target drying wind speed by controlling the fan power output, and the output power of the heating device can be kept constant.

[0119] Among them, the thermal stress deformation risk level is a high risk level, indicating that the surface temperature difference of the cleaned items is significant and has approached or exceeded the material tolerance threshold. If the drying parameters are not adjusted, deformation is very likely to occur. The drying wind speed and drying temperature must be optimized at the same time to quickly balance the heat.

[0120] The second preset adjustment coefficient may be a pre-set proportional coefficient for increasing the drying wind speed and reducing the drying temperature at a high risk level, for example, 1.5.

[0121] In one embodiment, the drying wind speed is increased according to the second preset adjustment coefficient, and the drying temperature is lowered according to the second preset adjustment coefficient. The second preset adjustment coefficient can be multiplied by the current drying wind speed to obtain the target drying wind speed, and the drying wind speed can be gradually increased to the target drying wind speed by controlling the fan power output, and the current drying temperature can be divided by the second preset adjustment coefficient to obtain the target drying temperature, and the drying temperature can be gradually lowered to the target drying temperature by controlling the output power of the heating device.

[0122] The benefit of this scheme is that it determines the thermal stress deformation risk level based on the temperature gradient distribution, and adopts corresponding different drying wind speed and drying temperature adjustment methods for different thermal stress deformation risks. This graded adjustment strategy can not only ensure drying efficiency, but also minimize damage to items caused by uneven heating. It is especially suitable for cleaning items with sensitive materials or complex structures.

[0123] The benefit of this arrangement of the present solution is that, by increasing the drying wind speed to the rated drying wind speed and lowering the drying temperature to the preset temperature when the environmental cleanliness is lower than the preset cleanliness threshold, until the environmental cleanliness reaches the preset cleanliness threshold, the airflow's ability to carry and discharge pollutants can be enhanced, and the activity and adhesion possibility of pollutants in a high-temperature environment can be reduced, thereby avoiding secondary contamination of the cleaned items.

[0124] Figure 5 This is a schematic diagram of the structure of a clothes washing and drying device provided in an embodiment of the present application. Figure 5 As shown, the device includes: The cleaning control module 510 is used to clean the surface of the cleaning object through the high-pressure micro-mist spray device; The spray parameter adjustment module 520 is used to determine the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process, and adjust the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants; a drying control module 530 for filtering the drying airflow through a high efficiency air filter so as to dry the surface of the cleaning article through the drying airflow; The drying parameter adjustment module 540 is configured to determine the temperature gradient distribution on the surface of the cleaning items and the environmental cleanliness during the drying process, and adjust the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

[0125] Optionally, the device further includes: a water drop feature determination module 550 for acquiring image data of the surface of the cleaning article and identifying whether water drop features exist on the surface of the cleaning article in the image data; The water droplet parameter determination module 560 is configured to, in a case where it is identified that the water droplet feature exists on the surface of the cleaning object in the image data, extract a water droplet feature parameter based on the image data. Correspondingly, the spray parameter adjustment module 520 is specifically configured to: determine the adsorption degree of the contaminant on the surface of the cleaning object during the cleaning process; adjust the spray parameter of the high-pressure micro-fog spray device based on the adsorption degree of the contaminant and the water droplet feature parameter.

[0126] Optionally, the water droplet feature parameter includes a water droplet size parameter, and the spray parameter includes a spray pressure. Correspondingly, the spray parameter adjustment module 520 is specifically configured to: determine the adsorption degree of the contaminant on the surface of the cleaning object during the cleaning process; determine a spray pressure increase coefficient according to the adsorption degree of the contaminant, and determine a spray pressure decrease coefficient according to the water droplet size parameter; determine a target spray pressure according to a basic spray pressure, the spray pressure increase coefficient, and the spray pressure decrease coefficient.

[0127] Optionally, the spray parameter adjustment module 520 is specifically configured to: obtain reflectance spectrum data of the surface of the cleaning object; calculate a reflectance difference between a reflectance of each wavelength point in the reflectance spectrum data and a reference reflectance; determine a feature wavelength interval according to the reflectance difference, and calculate an average reflectance difference of the feature wavelength interval; determine the adsorption degree of the contaminant on the surface of the cleaning object according to the average reflectance difference; adjust the spray parameter of the high-pressure micro-fog spray device based on the adsorption degree of the contaminant.

[0128] Optionally, the spray parameter adjustment module 520 is specifically configured to: obtain reflectance spectrum data of the surface of the cleaning object; calculate a reflectance difference between a reflectance of each wavelength point in the reflectance spectrum data and a reference reflectance; select continuous wavelength points with a reflectance difference exceeding a preset difference threshold value as candidate wavelength intervals; perform saliency analysis on each candidate wavelength interval to obtain a saliency level of each candidate wavelength interval; determine a candidate wavelength interval with a saliency level exceeding a preset saliency threshold value as a feature wavelength interval; calculate an average reflectance difference of the feature wavelength interval; determining the degree of adsorption of pollutants on the surface of the cleaning article according to the average reflectivity difference; The spray parameters of the high-pressure fine mist spray device are adjusted based on the degree of pollutant adsorption.

[0129] Optionally, the drying parameters include drying wind speed and drying temperature; Accordingly, adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness includes: When the environmental cleanliness is lower than the preset cleanliness threshold, the drying wind speed is increased to the rated drying wind speed, and the drying temperature is lowered by a preset temperature until the environmental cleanliness reaches the preset cleanliness threshold; When the environmental cleanliness is not lower than a preset cleanliness threshold, the drying wind speed and the drying temperature are adjusted based on the temperature gradient distribution.

[0130] Optionally, the drying parameter adjustment module 540 is specifically configured to: Determining the temperature gradient distribution on the surface of the cleaning items and the environmental cleanliness during the drying process; determining a thermal stress deformation risk level according to the temperature gradient distribution; When the thermal stress deformation risk level is a low risk level, maintaining the drying wind speed and the drying temperature unchanged; When the thermal stress deformation risk level is a medium risk level, maintaining the drying temperature unchanged, and increasing the drying wind speed according to a first preset adjustment coefficient; When the thermal stress deformation risk level is a high risk level, the drying wind speed is increased according to a second preset adjustment coefficient, and the drying temperature is reduced according to the second preset adjustment coefficient.

[0131] In an embodiment of the present application, a cleaning control module is used to clean the surface of the cleaning item by means of a high-pressure micro-mist spray device; a spray parameter adjustment module is used to determine the degree of adsorption of pollutants on the surface of the cleaning item during the cleaning process, and to adjust the spray parameters of the high-pressure micro-mist spray device based on the degree of adsorption of pollutants; a drying control module is used to filter the drying airflow through a high-efficiency air filter to dry the surface of the cleaning item through the drying airflow; a drying parameter adjustment module is used to determine the temperature gradient distribution on the surface of the cleaning item and the environmental cleanliness during the drying process, and to adjust the drying parameters based on the temperature gradient distribution and the environmental cleanliness. The above-mentioned clothing washing and drying device realizes the integrated processing of ultra-clean cleaning and purification and drying of clothing and other items, meeting the stringent requirements for the cleanliness of the surface of clothing in high-cleanliness scenarios.

[0132] The clothes washing and drying device in the embodiments of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, the mobile electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. The non-mobile electronic device can be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc., which are not specifically limited in the embodiments of the present application.

[0133] The clothes washing and drying device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0134] The clothes washing and drying device provided in the embodiments of the present application can implement the various processes implemented in the above embodiments. To avoid repetition, they will not be described here.

[0135] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6 As shown, an embodiment of the present application also provides an electronic device 600, including a processor 601, a memory 602, and a program or instruction stored in the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, each process of the above-mentioned clothing washing and drying method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0136] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0137] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned clothing washing and drying method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0138] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0139] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0140] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of this application.

[0141] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

[0142] The above are only preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that are possible for those skilled in the art will not depart from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include more other equivalent embodiments without departing from the concept of the present application. The scope of the present application is determined by the scope of the claims.

Claims

1. A method for washing and drying clothes, characterized in that: The method comprises: The surface of the cleaning items is cleaned by the high-pressure micro-mist spray device; Determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process, and adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants; filtering a drying airflow through a high-efficiency air filter so as to dry the surface of the cleaning article through the drying airflow; During the drying process, the temperature gradient distribution on the surface of the cleaning items and the environmental cleanliness are determined, and the drying parameters are adjusted based on the temperature gradient distribution and the environmental cleanliness.

2. The clothes washing and drying method according to claim 1, characterized in that: Before adjusting the injection parameters of the high-pressure fine mist injection device based on the degree of pollutant adsorption, the method further includes: Acquiring image data of the surface of the cleaning object, and identifying whether there are water droplet features on the surface of the cleaning object in the image data; extracting water droplet feature parameters based on the image data when it is identified that water droplet features exist on the surface of the cleaning object in the image data; Accordingly, the step of adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants includes: Based on the pollutant adsorption degree and the water droplet characteristic parameters, the spray parameters of the high-pressure fine mist spray device are adjusted.

3. The clothes washing and drying method according to claim 2, characterized in that: The water droplet characteristic parameters include water droplet size parameters, and the injection parameters include injection pressure; Accordingly, adjusting the spray parameters of the high-pressure fine mist spray device based on the pollutant adsorption degree and the water droplet characteristic parameters includes: Determining a spray pressure increase coefficient based on the pollutant adsorption degree and determining a spray pressure reduction coefficient based on the water droplet size parameter; A target injection pressure is determined based on the basic injection pressure, the injection pressure increase coefficient, and the injection pressure reduction coefficient.

4. The clothes washing and drying method according to claim 1, characterized in that: Determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process includes: Acquiring reflection spectrum data of the surface of the cleaning object; Calculating the reflectivity difference between the reflectivity at each wavelength point in the reflectivity spectrum data and the reference reflectivity; Determining a characteristic wavelength interval according to the reflectivity difference, and calculating an average reflectivity difference of the characteristic wavelength interval; The degree of adsorption of pollutants on the surface of the cleaning object is determined according to the average reflectivity difference.

5. The clothes washing and drying method according to claim 4, characterized in that: Determining the characteristic wavelength range according to the reflectivity difference includes: Selecting continuous wavelength points whose reflectivity difference exceeds a preset difference threshold as candidate wavelength intervals; Performing significance analysis on each candidate wavelength interval to obtain the significance level of each candidate wavelength interval; The candidate wavelength interval whose significance level exceeds a preset significance threshold is determined as a characteristic wavelength interval.

6. The clothes washing and drying method according to claim 1, characterized in that: The drying parameters include drying wind speed and drying temperature; Accordingly, adjusting the drying parameters based on the temperature gradient distribution and the environmental cleanliness includes: When the environmental cleanliness is lower than the preset cleanliness threshold, the drying wind speed is increased to the rated drying wind speed, and the drying temperature is lowered by a preset temperature until the environmental cleanliness reaches the preset cleanliness threshold; When the environmental cleanliness is not lower than a preset cleanliness threshold, the drying wind speed and the drying temperature are adjusted based on the temperature gradient distribution.

7. The clothes washing and drying method according to claim 6, characterized in that: The adjusting the drying wind speed and the drying temperature based on the temperature gradient distribution includes: determining a thermal stress deformation risk level according to the temperature gradient distribution; When the thermal stress deformation risk level is a low risk level, maintaining the drying wind speed and the drying temperature unchanged; When the thermal stress deformation risk level is a medium risk level, maintaining the drying temperature unchanged, and increasing the drying wind speed according to a first preset adjustment coefficient; When the thermal stress deformation risk level is a high risk level, the drying wind speed is increased according to a second preset adjustment coefficient, and the drying temperature is reduced according to the second preset adjustment coefficient.

8. A clothes washing and drying device, characterized in that: The device comprises: A cleaning control module is used to clean the surface of the cleaning object through a high-pressure micro-mist spray device; a spray parameter adjustment module for determining the degree of adsorption of pollutants on the surface of the cleaning object during the cleaning process and adjusting the spray parameters of the high-pressure fine mist spray device based on the degree of adsorption of pollutants; a drying control module, configured to filter a drying airflow through a high-efficiency air filter so as to dry the surface of the cleaning article through the drying airflow; The drying parameter adjustment module is used to determine the temperature gradient distribution on the surface of the cleaning object and the environmental cleanliness during the drying process, and adjust the drying parameters based on the temperature gradient distribution and the environmental cleanliness.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the clothing washing and drying method as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the clothes washing and drying method according to any one of claims 1 to 7 are implemented.

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