Clothing care intelligent control method and device and storage medium

Abstract

The embodiment of the invention relates to the field of clothes care, and discloses a clothes care intelligent control method and device and a storage medium, and the method comprises the steps: carrying out the stain detection of a cleaning area on clothes; when it is detected that the stains exist in the cleaning area, the stain type of the stains in the cleaning area is recognized; according to the stain type of the stain in the cleaning area, a stain removing strategy of the cleaning area is determined, and the stain removing strategy comprises chemical components of a detergent and the temperature of a detergent aqueous solution; and according to the stain removal strategy of the cleaning area, a detergent aqueous solution is prepared, and the prepared detergent aqueous solution is used for cleaning stains in the cleaning area. The technical problem that when a single detergent aqueous solution is used for cleaning stains with different components on clothes, the cleaning effect cannot be guaranteed is solved, and at least the effect of cleaning the stains on the clothes can be guaranteed.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of clothing care, and in particular to a clothing care intelligent control method, device and storage medium. Background Art

[0002] Clothing care equipment has become a common household appliance, including washing machines, ironing machines, etc. The clothing care process usually involves first using a washing device to clean the stains on the clothing, then using a drying device to dry the clothing, and finally using an ironing device to iron the wrinkled areas on the clothing to remove the wrinkles on the clothing and make the clothing smooth. Among them, the ironing device uses a heater to vaporize warm water into high-temperature, high-pressure water vapor, and softens the fiber structure of the clothing by spraying high-temperature steam, and then makes the clothing smooth and tidy by pulling, pressing, etc.

[0003] However, the current clothing care process has the following shortcomings:

[0004] (1) The washing of clothes is to stir a single detergent aqueous solution and clothes back and forth for a set time so that the detergent reacts chemically with the stains on the clothes to achieve the purpose of cleaning the stains. However, the composition of the stains on the clothes is different, and the chemical reaction effect of a single detergent aqueous solution on the stains of different composition is different, so the cleaning effect cannot be guaranteed.

[0005] (2) The ironing equipment has a single ironing mode. However, due to the different materials of clothes, the required ironing temperature and ironing temperature are different. If a single ironing mode is used, it may lead to poor ironing effect or directly cause damage to the clothes.

[0006] (3) Whether the clothes are ironed flat requires subjective determination by humans and cannot be judged intelligently.

[0007] (4) The ironing equipment does not have a stain cleaning function. If stains are found on clothes during the ironing process, the clothes can only be cleaned again through the cleaning equipment. The stain area on the clothes cannot be cleaned locally, resulting in a waste of water and detergent. Summary of the invention

[0008] The purpose of the present invention is to at least provide an intelligent control method, device and storage medium for clothing care, which can at least solve the technical problem that the cleaning effect cannot be guaranteed when using a single detergent aqueous solution to clean stains of different components on clothing, and at least can achieve the cleaning effect of ensuring the stains on clothing.

[0009] In order to solve the above technical problems, at least one embodiment of the present application provides a clothing care intelligent control method, which is characterized by comprising:

[0010] Perform stain inspection on the cleaned areas of clothing;

[0011] When stains are detected in the cleaning area, identifying the type of stains in the cleaning area;

[0012] Determining a stain removal strategy for the cleaning area according to the stain type of the stain in the cleaning area, wherein the stain removal strategy includes chemical components of the detergent and the temperature of the detergent aqueous solution;

[0013] According to the stain removal strategy of the cleaning area, a detergent aqueous solution is prepared, and the prepared detergent aqueous solution is used to clean the stains in the cleaning area.

[0014] In some optional embodiments, the step of detecting stains on a cleaning area on clothing includes:

[0015] Identify the material of the clothes in the cleaning area;

[0016] applying a specified current to the cleaning area;

[0017] Detecting the conductive characteristic data of the cleaning area, wherein the conductive characteristic data includes conductivity or resistivity;

[0018] When the value of the conductive characteristic data exceeds a conductive characteristic threshold value corresponding to the material of the clothes in the washing area, it is determined that there is stain in the washing area.

[0019] In some optional embodiments, the step of identifying the type of stain to which the stain in the cleaning area belongs includes:

[0020] Detecting gas information of gas volatilized from stains in the cleaning area, and / or detecting chemical composition information of stains in the cleaning area;

[0021] The stain type of the stain in the cleaning area is determined according to the gas information of the gas volatilized by the stain in the cleaning area and / or the chemical composition information of the stain in the cleaning area.

[0022] In some optional embodiments, the clothing care intelligent control method further includes:

[0023] Scan and identify clothing materials of target clothing and areas on the target clothing to which the clothing materials belong;

[0024] Marking the area of ​​the clothing material suitable for ironing as the to-be-ironed area, and generating a first ironing route on the principle that after the to-be-ironed area of ​​the same clothing material is ironed, the to-be-ironed area of ​​the other clothing material is switched to for ironing;

[0025] For each area to be ironed corresponding to the first ironing route, the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed are identified, and according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, path planning is performed on the internal area of ​​the area to be ironed to generate a second ironing route.

[0026] In some optional embodiments, the identifying the wrinkle density, wrinkle depth, and wrinkle direction of the area to be ironed includes:

[0027] Using image recognition technology to identify the wrinkle area in the area to be ironed and the wrinkle direction of the wrinkle area;

[0028] Applying a specified pressure to the wrinkle area, detecting the frequency of pressure changes per unit area of ​​the wrinkle area and the amplitude of pressure changes of the wrinkle area;

[0029] Determining the fold density of the fold area according to the frequency of pressure changes per unit area of ​​the fold area;

[0030] The wrinkle depth of the wrinkle area is determined according to the amplitude of the pressure change on the wrinkle area.

[0031] In some optional embodiments, during the ironing process, the clothing care intelligent control method further includes:

[0032] Identify the material of the garment in the ironing area of ​​the garment;

[0033] Determining an ironing strategy for the ironing area according to the material of the clothes in the ironing area;

[0034] Performing ironing operation on the ironing area according to the ironing strategy of the ironing area, and simultaneously detecting the flatness of the clothes in the ironing area;

[0035] When it is detected that the clothes in the ironing area are flat, the ironing operation on the ironing area is stopped.

[0036] In some optional embodiments, the ironing strategy includes a first ironing strategy or a second ironing strategy;

[0037] The first ironing strategy includes a water vapor ratio and an ironing temperature;

[0038] The second ironing strategy includes the water vapor ratio, the ironing temperature and the aromatherapy material component in the ironing solution.

[0039] In some optional embodiments, the clothing care intelligent control method further includes:

[0040] Scanning the clothing in advance to generate a clothing model of the clothing;

[0041] During the process of removing stains from the clothing, displaying on the clothing model at least one of the clothing material, the stain location, the stain type to which the stain corresponding to the stain location belongs, and the stain removal strategy corresponding to the stain; and / or

[0042] During the process of ironing the clothes, at least one of a real-time ironing position, an ironing completion status of each area on the clothes model, and an ironing route is displayed on the clothes model, and the ironing route includes a first ironing route and a second ironing route.

[0043] At least one embodiment of the present application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned intelligent clothing care control method.

[0044] At least one embodiment of the present application further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned intelligent clothing care control method when executed by a processor.

[0045] The embodiments of the present application provide an intelligent control method, device and storage medium for clothing care, which performs stain detection on a cleaning area on clothing to preliminarily identify whether there are stains in the cleaning area. When stains are detected in the cleaning area, the stain type of the stain in the cleaning area is identified, and a stain removal strategy suitable for the cleaning area is determined based on the stain type of the stain in the cleaning area. A detergent aqueous solution with a targeted cleaning effect on the stains in the cleaning area is prepared according to the stain removal strategy, and the prepared detergent aqueous solution is used to clean the stains in the cleaning area, thereby ensuring the cleaning effect of the stains on the clothing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0047] Figure 1 is a flow chart of a clothing care intelligent control method provided in Embodiment 1 of the present application;

[0048] Figure 2 is a flow chart of a clothing care intelligent control method provided in Embodiment 2 of the present application;

[0049] Figure 3 is a flow chart of a clothing care intelligent control method provided in Embodiment 3 of the present application;

[0050] Figure 4 This is a schematic diagram of the color changes of the light ring on the ironing machine corresponding to different ironing states, power-on states, and clothing materials provided in the fifth embodiment of the present application;

[0051] Figure 5 This is a schematic diagram of the ironing machine control interface provided in the fifth embodiment of the present application. Figure 1 ;

[0052] Figure 6 This is a schematic diagram of the ironing machine control interface provided in the fifth embodiment of the present application. Figure 2 ;

[0053] Figure 7 is a schematic diagram of a stain details page provided in Example 5 of the present application;

[0054] Figure 8 This is a schematic diagram of the ironing machine control interface provided in the fifth embodiment of the present application. Figure 3 ;

[0055] Fig. 9 This is a schematic diagram of the control interface of the ironing machine when adding frequently ironed clothes provided in the fifth embodiment of the present application. Figure 4 ;

[0056] Fig.10 This is a schematic diagram of a frequently ironed clothes list page provided in Embodiment 5 of the present application;

[0057] Fig.11 This is a schematic diagram of the control interface of the ironing machine when the ironing clothes are detected to be very tight according to the fifth embodiment of the present application. Figure 5 ;

[0058] Fig.12 This is a schematic diagram of the AR glasses provided in Example 5 of the present application;

[0059] Fig.13 This is a structural block diagram of the clothing care intelligent control system provided in Example 6 of the present application. DETAILED DESCRIPTION

[0060] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0061] In order to facilitate understanding of the embodiments of the present application, relevant content about clothing care is first introduced here.

[0062] Clothing care equipment has become a common household appliance, including washing machines, ironing machines, etc. The clothing care process usually involves first using a washing device to clean the stains on the clothing, then using a drying device to dry the clothing, and finally using an ironing device to iron the wrinkled areas on the clothing to remove the wrinkles on the clothing and make the clothing smooth. Among them, the ironing device uses a heater to vaporize warm water into high-temperature, high-pressure water vapor, and softens the fiber structure of the clothing by spraying high-temperature steam, and then makes the clothing smooth and tidy by pulling, pressing, etc.

[0063] However, the current clothing care process has the following shortcomings:

[0064] (1) The washing of clothes is to stir a single detergent aqueous solution and clothes back and forth for a set time so that the detergent reacts chemically with the stains on the clothes to clean the stains. However, the composition of the stains on the clothes is different, and the chemical reaction effect of a single detergent aqueous solution on the stains of different composition is different, so the cleaning effect cannot be guaranteed.

[0065] (2) The ironing equipment has a single ironing mode. However, due to the different materials of clothes, the required ironing temperature and ironing temperature are different. If a single ironing mode is used, it may lead to poor ironing effect or directly cause damage to the clothes.

[0066] (3) Whether the clothes are ironed flat requires subjective determination by humans and cannot be judged intelligently.

[0067] (4) The ironing equipment does not have a stain cleaning function. If stains are found on clothes during the ironing process, the clothes can only be cleaned again through the cleaning equipment. The stain area on the clothes cannot be cleaned locally, resulting in a waste of water and detergent.

[0068] In order to solve the above-mentioned technical problem that the cleaning effect cannot be guaranteed when using a single detergent aqueous solution to clean stains of different components on clothes, the present invention proposes an intelligent control method for clothing care. The implementation details of the intelligent control method for clothing care of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for the implementation of this solution.

[0069] Embodiment 1:

[0070] The intelligent control method for clothing care of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 1 As shown, the method includes:

[0071] Step S1, performing stain detection on the cleaning area of ​​the clothes.

[0072] Specifically, it is mainly to detect whether there are stains in the cleaning area. When there are stains in the cleaning area, the cleaning area is cleaned. When there are no stains in the cleaning area, the cleaning area is exempted from cleaning to avoid meaningless cleaning operations that increase the degree of wear on the clothes, or to use a gentle cleaning method to remove light dust on the clothes. The stain detection method can be done by the user inputting whether there are stains in the cleaning area, or by automatically identifying and locating the stains in the cleaning area through image recognition and target detection.

[0073] In some embodiments, the step S1 of “detecting stains on the cleaning area on the clothing” includes:

[0074] Step S11, identifying the material of the clothes in the washing area.

[0075] Specifically, there are various methods for identifying clothing materials. For example, the user can input the clothing material of the washing area by himself; for another example, the electromagnetic wave on the surface of the clothing in the washing area is obtained, and then the electromagnetic spectrum is obtained; according to the correspondence between the electromagnetic spectrum and the clothing material, the clothing material corresponding to the electromagnetic spectrum is determined. The electromagnetic wave after the surface of the clothing in the washing area is obtained to obtain the corresponding electromagnetic spectrum, and then the clothing material corresponding to the obtained electromagnetic spectrum is determined according to the correspondence between the saved electromagnetic spectrum and the clothing material.

[0076] Step S12, applying a specified current to the cleaning area, and detecting conductive characteristic data of the cleaning area, wherein the conductive characteristic data includes conductivity or resistivity.

[0077] Specifically, clothes of different materials and conditions have different conductive properties. Once abnormally high conductivity or resistivity is found, it can be considered that there may be more moisture or conductive stains in the cleaning area. Therefore, it can be preliminarily identified whether there are stains in the cleaning area. For example, a micro-electrode array is installed at the front end of the ironing machine. When the ironing machine contacts the clothes, a weak current is applied to the cleaning area to measure the local conductivity or resistivity of the cleaning area. In order to avoid the impact of the applied current on the safety of the user, the applied weak current is lower than the current threshold that may affect the safety of the user. +

[0078] Step S13: when the value of the conductive characteristic data exceeds the conductive characteristic threshold corresponding to the material of the clothes in the washing area, it is determined that there is stain in the washing area.

[0079] Specifically, because clothes of different materials and states have different conductive properties, when the measured value of the conductive property data exceeds the conductive property threshold corresponding to the material of the clothes in the washing area, it can be preliminarily determined that there are stains in the washing area. Although there may also be a lot of moisture in the washing area, the stain type to which the stain belongs will be identified later. Therefore, the result of misjudging the presence of stains in the washing area due to the presence of a lot of moisture in this step does not affect the accuracy of the subsequent control process.

[0080] Step S2: when it is detected that there is a stain in the cleaning area, identifying the type of stain in the cleaning area.

[0081] Specifically, the stain types may include sweat stains, coffee stains, ink stains, mud stains, juice stains, blood stains, etc., and the types of stains may be classified specifically according to the components of the stains.

[0082] In some embodiments, the step S2 of “when detecting that there is a stain in the cleaning area, identifying the type of stain in the cleaning area” includes:

[0083] Step S21, detecting gas information of gas volatilized from the stains in the cleaning area, and / or detecting chemical composition information of the stains in the cleaning area.

[0084] For example, the gas information of the gas volatilized by the stains in the cleaning area is detected by a gas sensor: a gas sensor capable of identifying volatile organic compounds is implanted in the ironing machine, and the odor-type stains on the clothes that are not easy to detect but do exist are captured by the gas sensor. For these types of stains that are easy to emit odors, such as smoke, alcohol residue, etc., targeted identification is carried out and the identification results are notified to the user. The chemical composition information of the stains in the cleaning area is detected by a chemical sensor: a selective chemical sensor can specifically respond to different compounds. For example, oil stains usually contain fatty acids, while sweat stains are rich in salt and other organic substances. A series of selective chemical sensors designed for common stain components (such as grease, protein, blood, etc.) are built into the front end of the ironing machine to detect different specific chemical components on the surface of the clothes. When the ironing machine contacts the clothes, the selective chemical sensor identifies the chemical components on the surface of the clothes it contacts, and indicates whether a specific type of stain exists based on the identification results.

[0085] Step S22, determining the stain type of the stain in the cleaning area according to the gas information of the gas volatilized by the stain in the cleaning area and / or the chemical composition information of the stain in the cleaning area.

[0086] Step S3, determining a stain removal strategy for the cleaning area according to the stain type of the stain in the cleaning area, wherein the stain removal strategy includes the chemical composition of the detergent and the temperature of the detergent aqueous solution.

[0087] Specifically, different types of stains correspond to different chemical components of the most suitable detergents and different cleaning temperatures. By presetting the stain removal strategies corresponding to different stain types, during use, according to the stain type of the stain in the cleaning area, the stain removal strategy applicable to the cleaning area can be determined, so that the detergent aqueous solution suitable for removing the stains in the cleaning area can be quickly prepared according to the stain removal strategy to maintain the cleaning effect of the stains.

[0088] Step S4, preparing a detergent aqueous solution according to the stain removal strategy of the cleaning area, and using the prepared detergent aqueous solution to clean the stains in the cleaning area.

[0089] For example, in the water tank of the ironing machine, multiple liquid storage spaces are set, and detergents with different ingredients, such as vinegar, salt, etc., are added to the water in each liquid storage space. According to the chemical components of the detergent in the stain removal strategy, different proportions of the detergent stored in the liquid storage space are secreted, and the temperature of the secreted mixed detergent aqueous solution is adjusted according to the temperature of the detergent aqueous solution in the stain removal strategy, so as to specifically remove stains in the cleaning area.

[0090] The method provided in the present embodiment performs stain detection on the cleaning area on the clothing to preliminarily identify whether there are stains in the cleaning area. When stains are detected in the cleaning area, the stain type of the stain in the cleaning area is identified, and a stain removal strategy suitable for the cleaning area is determined based on the stain type shown by the stain in the cleaning area, so as to prepare a detergent aqueous solution that has a targeted cleaning effect on the stains in the cleaning area according to the stain removal strategy, and use the prepared detergent aqueous solution to clean the stains in the cleaning area, thereby ensuring the cleaning effect of the stains on the clothing.

[0091] Embodiment 2:

[0092] The clothing care intelligent control method of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 2 As shown, the method also includes:

[0093] Step S1, scanning and identifying clothing materials of target clothing and areas on the target clothing to which the clothing materials belong.

[0094] Specifically, there are various ways to identify clothing materials. The clothing material can be obtained by scanning the clothing surface image and performing image recognition on the clothing surface image. The electromagnetic wave on the clothing surface in the cleaning area can be obtained to obtain the electromagnetic spectrum. According to the correspondence between the electromagnetic spectrum and the clothing material, the clothing material corresponding to the electromagnetic spectrum is determined. The electromagnetic wave after the surface of the clothing in the cleaning area is obtained to obtain the corresponding electromagnetic spectrum, and then the clothing material corresponding to the obtained electromagnetic spectrum is determined according to the correspondence between the saved electromagnetic spectrum and the clothing material. The area where the same electromagnetic spectrum is located is the area where the clothing material corresponding to this electromagnetic spectrum belongs.

[0095] Step S2, marking the area of ​​the clothing material suitable for ironing as the to-be-ironed area, and generating a first ironing route based on the principle of ironing the to-be-ironed area of ​​the same clothing material and then switching to the to-be-ironed area of ​​other clothing materials for ironing.

[0096] Specifically, some clothing materials are not suitable for ironing, so the areas to which clothing materials suitable for ironing belong are selected first to avoid ironing the areas to which clothing materials unsuitable for ironing belong, which may damage the clothing in that area. In addition, different ironing programs are used for different clothing materials, so that clothing can be ironed in a targeted manner, and the ironing effect of clothing is better. Therefore, by using the same ironing program to iron the areas to which the same clothing materials belong together first, and then switching to other ironing programs to iron the areas to which other clothing materials belong, the switching of ironing programs can be reduced. Although the areas to which the same clothing material belongs may be multiple non-adjacent areas, the area of ​​a piece of clothing is not large, and even if it is ironed along an incoherent route, the ironing efficiency will not be greatly reduced. On the contrary, it can also save the waiting time required for steam preheating and temperature adjustment required for switching ironing programs.

[0097] Step S3, for each area to be ironed corresponding to the first ironing route, identifying the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, and performing path planning for the internal area of ​​the area to be ironed according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, to generate a second ironing route.

[0098] Specifically, when performing a specific ironing operation in the ironing area, it is taken into account that obstacles on the clothes, such as decorations, buttons, worn parts and other items that do not need to be ironed, will hinder the ironing operation, and the depth, density and direction of the wrinkles on the clothes are different, and the ironing direction and ironing time will also be different. Therefore, according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, a path planning is performed on the internal area of ​​the area to be ironed, and a second ironing route is generated, so that in the process of ironing the ironing area, according to the second ironing route, obstacles are automatically avoided and the travel direction when ironing the wrinkles is automatically adjusted.

[0099] In some embodiments, the identifying the wrinkle density, wrinkle depth, and wrinkle direction of the area to be ironed includes:

[0100] Step S31, using image recognition technology to identify the wrinkle area in the area to be ironed and the wrinkle direction of the wrinkle area.

[0101] Specifically, the surface image of the clothing in the area to be ironed is collected; the surface image of the clothing is processed by image processing technology to obtain the surface contour image of the clothing in the area to be ironed; the texture feature image of the surface contour image of the clothing is extracted by texture analysis algorithm. Since wrinkles appear as uneven textures on the surface of clothing, the texture feature image of the extracted surface contour image of the clothing is compared with the texture feature image of a smooth surface of clothing made of the same clothing material. If the similarity reaches a similarity threshold, it is determined that there is no wrinkle in the area to be ironed, and the wrinkle direction is determined according to the texture direction in the texture feature image of the surface contour image of the clothing. For the first ironing of clothing, the texture feature image of the area to be ironed is compared with the texture feature image of the smoothest area of ​​the part of the same material around the wrinkles; for clothing that has been ironed multiple times, the texture feature image of the area to be ironed is compared with the model record of the texture feature image of the clothing when it was the smoothest, which was saved after the previous ironing.

[0102] Step S32, applying a specified pressure to the wrinkle area, detecting the frequency of pressure changes per unit area of ​​the wrinkle area and the amplitude of pressure changes of the wrinkle area.

[0103] Step S33, determining the wrinkle density of the wrinkle area according to the frequency of pressure changes within a unit area of ​​the wrinkle area; and determining the wrinkle depth of the wrinkle area according to the amplitude of pressure changes of the wrinkle area.

[0104] Specifically, when there are wrinkles on the surface of clothing, these wrinkles will cause the morphology of the clothing surface to change, thereby affecting the pressure distribution applied on the clothing surface. Based on this, the frequency of pressure changes per unit area on the clothing surface in the wrinkle area (referring to the number of pressure changes or the frequency of pressure changes) is measured by a pressure sensor. The higher the density of wrinkles, the higher the frequency of pressure changes per unit area. The density of wrinkles in the wrinkle area, i.e., the wrinkle density, is quantified based on the frequency of pressure changes per unit area on the clothing surface in the wrinkle area. In addition, the deeper the wrinkles, the greater the pressure applied to the pressure sensor, and the greater the amplitude of the pressure signal captured by the pressure sensor. Therefore, the depth of the wrinkles can be indirectly inferred through the amplitude of pressure changes. In order to further improve the accuracy of the detected wrinkle density and wrinkle depth, image recognition technology can be combined to comprehensively derive more accurate wrinkle density and wrinkle depth.

[0105] Embodiment three:

[0106] The clothing care intelligent control method of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 3 As shown, the method also includes:

[0107] Step S1, identifying the material of the clothes in the ironing area of ​​the clothes.

[0108] Specifically, there are various ways to identify clothing materials. The clothing materials can be input by the user, or can be obtained by scanning the clothing surface image and performing image recognition on the clothing surface image. The clothing materials can also be obtained by obtaining the electromagnetic waves on the clothing surface in the cleaning area, thereby obtaining the electromagnetic spectrum. According to the correspondence between the electromagnetic spectrum and the clothing material, the clothing material corresponding to the electromagnetic spectrum is determined. The electromagnetic waves after the surface of the clothing in the cleaning area is obtained to obtain the corresponding electromagnetic spectrum, and then the clothing material corresponding to the obtained electromagnetic spectrum is determined according to the correspondence between the saved electromagnetic spectrum and the clothing material.

[0109] In the specific implementation, in order to let users know the recognized clothing material intuitively, the recognized clothing material can be intuitively represented by lights of different colors. For example, chemical fiber material corresponds to light yellow light, silk material corresponds to light pink light, cotton and linen material corresponds to dark brown light, wool material corresponds to beige light, and other materials correspond to orange light.

[0110] Step S2, determining the ironing strategy of the ironing area according to the material of the clothes in the ironing area.

[0111] Specifically, different clothing materials have targeted ironing strategies to achieve better ironing effects. The ironing strategy can be understood as a pre-set ironing program, including one or more ironing parameters such as water vapor ratio, ironing temperature, and aromatherapy material components in the ironing solution.

[0112] Step S3, performing ironing operation on the ironing area according to the ironing strategy of the ironing area, and simultaneously detecting the flatness of the clothes in the ironing area.

[0113] Step S4, when it is detected that the clothes in the ironing area are flat, the ironing operation on the ironing area is stopped.

[0114] Specifically, by detecting the flatness of the clothes in the ironing area, it can be determined whether the ironing in the ironing area is completed. When it is detected that the clothes in the ironing area are flat, ironing of the ironing area is automatically stopped to avoid ironing timeout and damage to the clothes.

[0115] In the specific implementation, in order to let the user know the current ironing status intuitively, multiple ironing states can be divided according to the actual situation and user preferences, and different colors of lights can be used to prompt the corresponding ironing status.

[0116] In order to prevent the user from forgetting to remove the iron from the clothes when ironing is completed, causing damage to the clothes or even a fire, an alarm prompt is issued when it is detected that the ironing is completed and the ironing machine is still in the ironing area. The alarm prompt can be any one or more of light, sound and prompt information.

[0117] Embodiment 4:

[0118] The intelligent control method for clothing care of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. On the basis of the above embodiment, in order to better display the current clothing washing and / or ironing situation, the method further includes:

[0119] Scan the clothes in advance to generate a clothes model of the clothes. During stain removal of the clothes, display the clothes material, the stain location, and at least one of the stain type to which the stain corresponding to the stain location belongs and the stain removal strategy corresponding to the stain on the clothes model; and / or during ironing of the clothes, display the clothes model at least one of the real-time ironing location, the ironing completion status of each area on the clothes model, and the ironing route, wherein the ironing route includes a first ironing route and a second ironing route.

[0120] Embodiment five:

[0121] Based on the above embodiments, this embodiment provides an application example to illustrate the practical application of the clothing care intelligent control method provided by the above embodiments. This example takes the application to an ironing machine as an example.

[0122] 1. The ironing machine is equipped with multiple light rings to indicate the power on / off status, ironing status, clothing material, etc.

[0123] This embodiment is for illustration only, and the position of the light ring, the color of the light ring, and the meaning of the corresponding color of the light ring are not limited and can be adjusted and modified according to actual applications. Figure 4 As shown, the ironing machine is provided with a first prompt light ring and a second prompt light ring. The first prompt light ring is arranged at the proximal end of the steam outlet of the ironing machine, and the second prompt light ring is arranged at the distal end of the steam outlet of the ironing machine. When the ironing machine is in the standby state, the first prompt light ring and the second prompt light ring are both in an off state, and when the ironing machine is in the on state, the first prompt light ring and the second prompt light ring are both in an on state. The ironing state is initially set to three categories: "ironing in progress", "ironing completed" and "ironing timeout". In the later stage, it can be divided into more operating states according to actual conditions and user preferences, and different colors of lights are used for prompting. When the ironing state is "ironing in progress", the first prompt light ring is blue; when the ironing state is "ironing completed", the first prompt light ring is green; when the ironing area has been ironed flat and the ironing machine is still staying in the ironing area, that is, when the ironing state is "ironing timeout", the first prompt light ring is red and produces a "beep, beep, beep" alarm sound. The clothing materials are initially divided into "chemical fiber material", "silk material", "cotton and linen material", "wool material", "other materials", etc. More clothing materials can be added later, and different clothing materials can be represented by lights of different colors. The different light colors of the second prompt light ring indicate different clothing materials corresponding to the ironing area. For example, the light prompt corresponding to "chemical fiber material" is light yellow; the light prompt corresponding to "silk material" is light pink; the light prompt corresponding to "cotton and linen material" is dark brown; the light prompt corresponding to "wool material" is beige; and the light prompt corresponding to "other materials" is orange.

[0124] 2. Create clothing models.

[0125] Before ironing or washing clothes, use the ironing machine to quickly scan and detect the clothes that need to be ironed or washed, for example, scanning and detecting from top to bottom and from left to right. After the scanning and detection is completed, a clothing model of the clothes is established according to the scanning and detection results of the clothes, and is displayed on the ironing machine control interface of the client, and the client can be a mobile phone. The ironing machine control interface includes a clothing model display area and a control area. The clothing model display area includes the clothing model and the mark color description, and the mark color description refers to the description of the mark and color added to the clothing model. The control area includes control switches for intelligent ironing mode, ironing degree of the current position, aromatherapy mode, optimal ironing route, and addition of frequently ironed clothes.

[0126] like Figure 5 and Figure 6 As shown, during the ironing process of the clothes, the clothes model display area in the ironing machine control interface will display the real-time ironing position, the ironing completion status of different positions or areas on the clothes model, and the ironing route, etc. Figure 7 As shown, in the process of removing stains from the clothes, the clothing material, stain location, stain type, stain removal strategy, etc. are displayed on the clothing model interface. In addition, stains can also be detected during ironing, such as Figure 8 As shown, when stains are detected during the ironing process, a prompt message will be given.

[0127] 3. Ironing process.

[0128] (1) Establish the optimal ironing route.

[0129] A switch for displaying the optimal ironing route is set on the ironing machine control page. Figure 6 As shown, after it is turned on, the optimal ironing route for the clothes to be ironed will be displayed on the client to guide the user to perform the optimal ironing operation. The establishment of the optimal ironing route includes:

[0130] ① Use an ironing machine to quickly scan the surface of clothing in the air to identify the stitching materials of the clothing, obstacles on the clothing (decorations, buttons, worn parts, etc.) and wrinkles of varying depths on the clothing.

[0131] ② If the clothing material of the clothing is only one, it is only necessary to determine whether the clothing material of the clothing is suitable for ironing. If it is suitable for ironing, the direction that is most convenient for ironing the folds is determined based on the fold density, fold direction and fold depth of each fold area on the clothing, with the premise of avoiding obstacles on the clothing, to generate the optimal ironing route. If the clothing material of the clothing is multiple, it is necessary to determine the area to which the clothing material suitable for ironing belongs, and this area is marked as the area to be ironed. The first ironing route is generated based on the principle of ironing the area to be ironed of the same type of clothing material and then switching to the area to be ironed of other types of clothing materials for ironing. Among them, which clothing material is to be ironed first can be determined randomly or by user selection. The purpose is to take into account the same ironing program for some areas of the same clothing material. It is recommended to iron them together. After ironing, switch to other clothing material areas for ironing. This can reduce the number of switching ironing programs. Because different ironing programs require different water vapor ratio, water vapor density, ironing temperature, etc., each switch of the ironing program requires waiting for the adjustment time of the water vapor ratio, water vapor density, ironing temperature, etc. If the number of switching ironing programs is reduced, the ironing efficiency can be improved.

[0132] ② For each area to be ironed in the first ironing route, by identifying the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, and according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, path planning is performed on the internal area of ​​the area to be ironed to generate a second ironing route. The principle of path planning is to avoid obstacles and determine the best ironing direction for removing wrinkles according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, so as to perform path planning and generate the second ironing route.

[0133] Specifically, the surface image of the clothing in the area to be ironed is collected; the surface image of the clothing is processed by image processing technology to obtain the surface contour image of the clothing in the area to be ironed; the texture feature image of the surface contour image of the clothing is extracted by texture analysis algorithm. Since wrinkles appear as uneven textures on the surface of clothing, the texture feature image of the extracted surface contour image of the clothing is compared with the texture feature image of a smooth surface of clothing made of the same clothing material. If the similarity reaches a similarity threshold, it is determined that there is no wrinkle in the area to be ironed, and the wrinkle direction is determined according to the texture direction in the texture feature image of the surface contour image of the clothing. For the first ironing of clothing, the texture feature image of the area to be ironed is compared with the texture feature image of the smoothest area of ​​the part of the same material around the wrinkles; for clothing that has been ironed multiple times, the texture feature image of the area to be ironed is compared with the model record of the texture feature image of the clothing when it was the smoothest, which was saved after the previous ironing.

[0134] When there are wrinkles on the surface of clothing, these wrinkles will cause the morphology of the clothing surface to change, thereby affecting the pressure distribution applied on the clothing surface. Based on this, the frequency of pressure changes per unit area on the clothing surface in the wrinkle area (referring to the number of pressure changes or the frequency of pressure changes) is measured by a pressure sensor. The higher the density of wrinkles, the higher the frequency of pressure changes per unit area. The density of wrinkles in the wrinkle area, i.e., the wrinkle density, is quantified based on the frequency of pressure changes per unit area on the clothing surface in the wrinkle area. In addition, the deeper the wrinkles, the greater the pressure applied to the pressure sensor, and the greater the amplitude of the pressure signal captured by the pressure sensor. Therefore, the depth of the wrinkles can be indirectly inferred through the amplitude of pressure changes. In order to further improve the accuracy of the detected wrinkle density and wrinkle depth, image recognition technology can be combined to comprehensively derive more accurate wrinkle density and wrinkle depth.

[0135] (2) Ironing process

[0136] When the ironing machine is placed on the clothes, it will automatically identify the clothes material in the ironing area and prompt through the second prompt light ring. At this time, the ironing machine control page will correspondingly feedback the control switch of the ironing state. When the control switch of the ironing state is turned on, Figure 5 , Figure 6 , Figure 8 As shown, colors representing different ironing states are displayed on the clothing model. The ironing mode is divided into two modes: fixed configuration and intelligent configuration.

[0137] The fixed configuration is: for different clothing materials, the ironing state is divided by the number of seconds based on the time. For example, for silk material, 0s to 30s is the ironing state of "ironing", 30s to 45s is the ironing state of "ironing completed", and after 45s is the ironing state of "ironing timeout". Different ironing materials have different time definitions for the corresponding ironing states.

[0138] Smart mode: Uses smart detection technology to detect the flatness of clothes. When it detects that the clothes are not flat, it is in the ironing state of "ironing in progress". When it detects that the clothes are flat, it is in the ironing state of "ironing completed". After more than 15 seconds after "ironing completed", the ironing machine prompts "ironing timeout".

[0139] After the smart ironing mode is enabled, the machine can also automatically learn and record the time required for ironing different parts of the clothes, which can be used as the experience basis for the next ironing to ensure the optimal ironing time for different clothes. Fig. 9As shown, at this time, the user can set the clothes as "often ironed clothes". The user adds the ironed clothes as "often ironed clothes" in the control area of ​​the ironing machine control interface. The user can customize the name of the clothes, and other information such as the material and type of the clothes are automatically recognized and added. Fig.10 As shown in the figure, all added "frequently ironed clothes" are listed on the "frequently ironed clothes" list page, and users can quickly start the ironing process for the frequently ironed clothes with one click. The ironing machine will analyze the optimal ironing time and ironing operation for the clothes based on the previous ironing operations and the actual situation of the current clothes, and feedback the current ironing status to the user through the light, which can not only save electricity, but also reduce the loss of clothes caused by ironing timeout. Fig.11 As shown, when it is detected that the clothes are not "clothes that are often ironed", the page prompts "It is detected that the clothes are not clothes that are often ironed, and the ironing program has been terminated."

[0140] (3) The process of fumigation.

[0141] Different clothing materials have different densities, and absorb different amounts of aromatherapy materials. Different clothing materials also have a tendency to have the right aromatherapy smell. For example, wool has a strong adhesion ability, so less aromatherapy material is needed. The ironing machine intelligently secretes different amounts of aromatherapy materials (i.e., secretes ironing water with different aromatherapy material components) based on the identified clothing material, and gives the aromatherapy smell suitable for the identified clothing material on the mobile phone.

[0142] In the aromatherapy water reservoir of the ironing machine, multiple aromatherapy material storage boxes are added to hold multiple aromatherapy material packages, and an aromatherapy material package of a specified aromatherapy material is placed in each aromatherapy material storage box to facilitate achieving the most suitable aromatherapy effect.

[0143] When ironing clothes in aromatherapy mode, if the aromatherapy material corresponding to the clothing material is missing, the user will be prompted on the phone to know what the most suitable aromatherapy material is for the clothing material identified, and the most suitable aromatherapy material is missing, prompting the user whether to manually add the aromatherapy material or choose to use other existing aromatherapy materials to replace it. When the user manually adds the most suitable aromatherapy material, the aromatherapy work will start automatically; if the user chooses to replace it with an existing aromatherapy material, the ironing machine will automatically identify which of the existing aromatherapy materials is the most suitable and recommend it to the user. When the ironing machine cannot intelligently give the most suitable aromatherapy material for the identified clothing material, it will prompt the user on the mobile phone and let the user manually choose which aromatherapy material to use.

[0144] 4. Stain removal process.

[0145] The front end of the ironing machine is equipped with a micro-electrode array, selective chemical sensors and odor sensors.

[0146] During the stain removal process, when the ironer contacts the clothes, a weak current is applied to measure the conductivity or resistivity of the local area (referring to the contact area between the ironer and the clothes). Because different clothing materials and clothing states have different conductive properties, once an abnormal conductivity reading is found, it may mean that there may be more moisture or conductive stains in the local area, so it is recorded as a suspected stain point. Then selective chemical sensors specifically respond to different compounds. For example, oil stains usually contain fatty acids, while sweat stains are rich in salt and other organic substances. A series of selective chemical sensors designed for common stain components (such as grease, protein, blood, etc.) are built into the front end of the ironer to detect differences in specific chemical components on the surface of clothing. When the ironer contacts the clothes, the chemical sensor identifies and indicates whether a specific type of stain exists. The ironing machine is implanted with a gas sensor that can identify volatile organic compounds, so that it can capture odor-type stains on clothes that are not easy to detect but do exist. For these types of stains that are easy to emit odors, such as smoke and alcohol residue, targeted stain identification is performed, the stain identification results are notified to the user, and the optimal stain removal strategy is provided. Specifically, Figure 8 As shown, when stains are detected in the cleaning area, the detection result will be recorded, and a pop-up window will be displayed on the ironing machine control interface to prompt that the stains are detected. The user clicks on the pop-up window to enter the stain details page, such as Figure 7 As shown, the stain details page displays the recorded stain location, stain type, and stain details. Click the stain details button to display a specific stain removal plan (stain removal strategy).

[0147] When the smart stain removal mode is turned on, it can provide stain removal vapor suitable for the corresponding stain type and the vapor temperature that is most suitable for removing this type of stain, so that users can quickly remove stains (if blood stains are not suitable for high-temperature removal, the vapor temperature will be lowered and the user can use hydrogen peroxide to remove the stains).

[0148] The water tank of the ironing machine is equipped with multiple water storage spaces. Different detergent materials, such as vinegar, salt, etc., are added to the water in each space. According to the different stains identified, the detergent materials stored in different water storage spaces are secreted and mixed to form the corresponding detergent water solution in the stain removal strategy, which can help users quickly remove stains (eliminate some traces, and users can perform more targeted stain removal operations according to the recorded stain details after ironing).

[0149] like Fig.12As shown in the figure, during the ironing process, whether or not the aromatherapy mode is turned on, the generated ironing route, ironing strategy, etc. can be used to indicate the ironing operation through AR glasses. When the user puts on the AR glasses, the AR glasses can show the instructions for the optimal ironing route. During each step of the ironing operation, the user will be prompted with the direction of movement and the optimal operation will be indicated: stop ironing, start aromatherapy, start stain removal, etc.

[0150] Embodiment six:

[0151] Another embodiment of the present application relates to a clothing care intelligent control system. The implementation details of the clothing care intelligent control system of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details provided, and is not necessary for the implementation of this solution. The schematic diagram of the clothing care intelligent control system of this embodiment can be as follows Fig.13 As shown, it includes a material recognition module, a stain recognition module, a strategy generation module, a clothing care module, a route generation module and a clothing model generation module.

[0152] The material recognition module is used to recognize the material of the clothes in the washing area and / or ironing area of ​​the clothes.

[0153] The stain recognition module is used to detect stains in the cleaning area of ​​the clothes, and when stains are detected in the cleaning area, identify the type of stains in the cleaning area.

[0154] The strategy generation module is used to determine the stain removal strategy of the cleaning area according to the stain type of the stain in the cleaning area, and the stain removal strategy includes the chemical composition of the detergent and the temperature of the detergent aqueous solution; it is also used to determine the ironing strategy of the ironing area according to the clothing material of the clothing.

[0155] The clothing care module is used to prepare a detergent aqueous solution according to the stain removal strategy of the cleaning area, and use the prepared detergent aqueous solution to clean the stains in the cleaning area; it is also used to iron the ironing area according to the ironing strategy of the ironing area, and simultaneously detect the flatness of the clothes in the ironing area; when it is detected that the clothes in the ironing area are flat, the ironing operation on the ironing area is stopped.

[0156] The route generation module is used to scan and identify the clothing materials of the target clothing and the areas to which the clothing materials belong on the target clothing; and mark the areas to which the clothing materials suitable for ironing belong as areas to be ironed, so as to generate a first ironing route on the principle that after the areas to be ironed of the same type of clothing materials are ironed, the areas to be ironed of other types of clothing materials are switched to for ironing; and is also used to identify the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of each area to be ironed corresponding to the first ironing route, and perform path planning for the internal area of ​​the area to be ironed according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, so as to generate a second ironing route.

[0157] A clothing model generation module is used to pre-scan the clothing and generate a clothing model of the clothing; and is also used to display the clothing material, the stain location, and at least one of the stain type to which the stain corresponding to the stain location belongs and the stain removal strategy corresponding to the stain on the clothing model during the process of removing stains from the clothing; and / or to display the real-time ironing position, the ironing completion status of each area on the clothing model, and at least one of the ironing routes on the clothing model during the process of ironing the clothing. The ironing routes include a first ironing route and a second ironing route.

[0158] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0159] Embodiment seven:

[0160] Another embodiment of the present application relates to an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent clothing care control method in the above-mentioned embodiments.

[0161] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0162] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0163] Embodiment eight:

[0164] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0165] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0166] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A clothing care intelligent control method, characterized in that: include: Perform stain inspection on the cleaned areas of clothing; When stains are detected in the cleaning area, identifying the type of stains in the cleaning area; Determining a stain removal strategy for the cleaning area according to the stain type of the stain in the cleaning area, wherein the stain removal strategy includes chemical components of the detergent and the temperature of the detergent aqueous solution; According to the stain removal strategy of the cleaning area, a detergent aqueous solution is prepared, and the prepared detergent aqueous solution is used to clean the stains in the cleaning area.

2. The intelligent control method for clothing care according to claim 1, characterized in that: The stain detection on the cleaning area on the clothes comprises: Identify the material of the clothes in the cleaning area; applying a specified current to the cleaning area; Detecting the conductive characteristic data of the cleaning area, wherein the conductive characteristic data includes conductivity or resistivity; When the value of the conductive characteristic data exceeds a conductive characteristic threshold value corresponding to the material of the clothes in the washing area, it is determined that there is stain in the washing area.

3. The intelligent control method for clothing care according to claim 1, characterized in that: The step of identifying the type of stain to which the stain in the cleaning area belongs includes: Detecting gas information of gas volatilized from stains in the cleaning area, and / or detecting chemical composition information of stains in the cleaning area; The stain type of the stain in the cleaning area is determined according to the gas information of the gas volatilized by the stain in the cleaning area and / or the chemical composition information of the stain in the cleaning area.

4. The intelligent control method for clothing care according to claim 1, characterized in that: Also includes: Scan and identify clothing materials of target clothing and areas on the target clothing to which the clothing materials belong; Marking the area of ​​the clothing material suitable for ironing as the to-be-ironed area, and generating a first ironing route on the principle that after the to-be-ironed area of ​​the same clothing material is ironed, the to-be-ironed area of ​​the other clothing material is switched to for ironing; For each area to be ironed corresponding to the first ironing route, the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed are identified, and according to at least one of the wrinkle density, wrinkle depth, wrinkle direction and obstacle position of the area to be ironed, path planning is performed on the internal area of ​​the area to be ironed to generate a second ironing route.

5. The intelligent control method for clothing care according to claim 4, characterized in that: The step of identifying the wrinkle density, wrinkle depth, and wrinkle direction of the area to be ironed includes: Using image recognition technology to identify the wrinkle area in the area to be ironed and the wrinkle direction of the wrinkle area; Applying a specified pressure to the wrinkle area, detecting the frequency of pressure changes per unit area of ​​the wrinkle area and the amplitude of pressure changes of the wrinkle area; Determining the fold density of the fold area according to the frequency of pressure changes per unit area of ​​the fold area; The wrinkle depth of the wrinkle area is determined according to the amplitude of the pressure change on the wrinkle area.

6. The intelligent control method for clothing care according to claim 1, characterized in that: During the ironing process, the method further comprises: Identify the material of the garment in the ironing area of ​​the garment; Determining an ironing strategy for the ironing area according to the material of the clothes in the ironing area; Performing ironing operation on the ironing area according to the ironing strategy of the ironing area, and simultaneously detecting the flatness of the clothes in the ironing area; When it is detected that the clothes in the ironing area are flat, the ironing operation on the ironing area is stopped.

7. The intelligent control method for clothing care according to claim 6, characterized in that: The ironing strategy includes a first ironing strategy or a second ironing strategy; The first ironing strategy includes a water vapor ratio and an ironing temperature; The second ironing strategy includes the water vapor ratio, the ironing temperature and the aromatherapy material component in the ironing solution.

8. The intelligent control method for clothing care according to claim 4, characterized in that: The method further comprises: Scanning the clothing in advance to generate a clothing model of the clothing; During the process of removing stains from the clothing, displaying on the clothing model at least one of the clothing material, the stain location, the stain type to which the stain corresponding to the stain location belongs, and the stain removal strategy corresponding to the stain; and / or During the process of ironing the clothes, at least one of a real-time ironing position, an ironing completion status of each area on the clothes model, and an ironing route is displayed on the clothes model, and the ironing route includes a first ironing route and a second ironing route.

9. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent clothing care control method as described in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the intelligent clothing care control method according to any one of claims 1 to 8 is implemented.

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