Care control method of fabric treatment apparatus, electronic device, and fabric treatment apparatus

Abstract

The present application relates to the technical field of fabric treatment equipment, and particularly relates to a fabric treatment equipment care control method, an electronic device and a fabric treatment equipment. The fabric treatment equipment can perform a care program on a fabric. The care control method comprises the following steps: obtaining attribute information and state information of the fabric; inputting the attribute information and the state information of the fabric into a preset model to analyze a current state of the fabric and optimize the care program; and controlling the care program according to an analysis result and an optimization suggestion output by the preset model. In the present application, the surface state of the fabric is detected, the care effect of the fabric is evaluated based on the analysis result and the optimization suggestion output by the preset model, and the subsequent fabric care program is adjusted, so that the care effect of the fabric is effectively improved, and the user experience of the fabric treatment equipment is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fabric treatment equipment, and particularly relates to a care control method of a fabric treatment equipment, an electronic device and the fabric treatment equipment. BACKGROUND

[0002] With the rapid development of the washing and caring industry and the continuous improvement of the national living standards, consumers have higher and higher requirements and expectations for washing and caring products. Consumers not only pay attention to the washing effect of fabric treatment equipment (such as washing and caring all-in-one machines, washing and drying all-in-one machines, etc.), but also pay more and more attention to the care effect of fabric.

[0003] Among them, fabrics of special materials are usually fragile, and various problems may occur under the mechanical action of the fabric treatment equipment and the high washing and caring temperature, such as shrinkage of wool fabrics, low fluffiness of down fabrics after washing and caring, or wrinkles of silk fabrics, etc., which makes the user have poor use effect of the fabric treatment equipment.

[0004] In addition, the existing fabric treatment equipment has poor care effect when caring for fabrics of special materials, which seriously affects the actual use effect of the user. SUMMARY

[0005] In view of this, the present application provides a care control method of a fabric treatment equipment, an electronic device and the fabric treatment equipment, to solve the problem that the existing fabric treatment equipment has poor care effect on fabrics when in use, affecting the actual use effect of the user.

[0006] The first aspect of the embodiment of the present application provides a care control method of a fabric treatment equipment, the fabric treatment equipment being capable of performing a care program on a fabric, and the care control method comprising:

[0007] obtaining attribute information and state information of the fabric;

[0008] inputting the attribute information and the state information of the fabric into a preset model to analyze the current state of the fabric and optimize the care program;

[0009] controlling the care program according to the analysis result and the optimization suggestion output by the preset model.

[0010] In some embodiments, the attribute information includes fabric type and material type;

[0011] The care program includes at least one of a steam humidification stage and / or a drying and setting stage;

[0012] In the steam moistening stage, the state information comprises first state information representing fabric moisture; in the drying and setting stage, the state information comprises second state information representing fabric flatness.

[0013] In some embodiments, the obtaining of the attribute information and the state information of the fabric occurs before, during and / or after the target care stage.

[0014] In some embodiments, the target care stage is at least one of the steam moistening stage or the drying and setting stage.

[0015] In some embodiments, the obtaining of the attribute information and the state information of the fabric occurs before the target care stage, and the analysis result and the optimization suggestion output by the preset model comprises:

[0016] whether care is needed or not;

[0017] a recommended care mode and / or care parameter when care is needed;

[0018] The control of the care program according to the analysis result and the optimization suggestion output by the preset model comprises:

[0019] adopting the recommended care mode and / or care parameter output by the preset model to execute the target care stage.

[0020] In some embodiments, the obtaining of the attribute information and the state information of the fabric occurs during the target care stage, and the analysis result and the optimization suggestion output by the preset model comprises:

[0021] care effect evaluation;

[0022] providing an optimization suggestion for a subsequent care stage for a care effect that does not reach a target state.

[0023] In some embodiments, the obtaining of the attribute information and the state information of the fabric occurs after the target care stage and the target care stage is the last care stage of the care program, and the analysis result and the optimization suggestion output by the preset model comprises:

[0024] care effect evaluation;

[0025] providing a re-care suggestion for a care effect that does not reach a target state;

[0026] for the re-care suggestion, a recommended care mode and / or care parameter is given.

[0027] In some embodiments, the obtaining of the attribute information and the state information of the fabric occurs after a target care stage, and the target care stage is not the last care stage of the care program, and the analysis result and the optimization suggestion output by the preset model include:

[0028] evaluation of care effect;

[0029] for the care effect that does not reach the target state, giving a suggestion of repeating the target care stage or continuing a subsequent care stage;

[0030] for the suggestion of continuing a subsequent care stage, further giving a recommended care mode and / or a care parameter of the subsequent care stage.

[0031] In some embodiments, the care mode includes performing the target care stage according to a preset rule.

[0032] The care parameter includes a steam temperature, a steam flow, and a fan speed.

[0033] In some embodiments, the controlling of the care program according to the analysis result and the optimization suggestion output by the preset model includes:

[0034] outputting the optimization suggestion to a user, and performing a care program corresponding to the optimization suggestion selected by the user according to a selection of the optimization suggestion by the user.

[0035] A second aspect of the embodiment of the present application provides an electronic device, and the electronic device includes:

[0036] a memory for storing one or more computer executable instructions;

[0037] a processor for invoking and executing the computer executable instructions in the memory, so as to implement the care control method of the fabric treatment device according to any one of the first aspect.

[0038] A third aspect of the embodiment of the present application provides a fabric treatment device, which is controlled by the care control method of the fabric treatment device according to the first aspect, or has the electronic device according to the second aspect.

[0039] Compared with the prior art, the present application has the following beneficial effects:

[0040] In the fabric treatment equipment, the present invention provides a care control method, electronic device, and fabric treatment equipment. The fabric treatment equipment is capable of performing a care procedure on the fabric. The care control method includes: acquiring the fabric's attribute information and state information; inputting the fabric's attribute information and state information into a preset model to analyze the current state of the fabric and optimize the care procedure; and controlling the care procedure based on the analysis results and optimization suggestions output by the preset model. In this invention, by detecting the surface state of the fabric and evaluating the fabric's care effect based on the analysis results and optimization suggestions output by the preset model, and adjusting subsequent fabric care procedures, the present invention effectively improves the fabric care effect and enhances the user experience of the fabric treatment equipment. Attached Figure Description

[0041] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0042] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0043] Figure 1 This is a schematic diagram of the structure of a fabric processing device according to an embodiment of the present invention;

[0044] Figure 2 This is a flowchart illustrating the steps of a care control method for a fabric treatment device according to an embodiment of the present invention.

[0045] Figure 3 This is a logic judgment flowchart of a care control method for a fabric treatment device according to an embodiment of the present invention;

[0046] Figure 4 This is a schematic diagram of the fabric state in the first training model and the second training model in a care control method of a fabric processing device according to an embodiment of the present invention.

[0047] Figure label:

[0048] 100. Fabric processing equipment; 110. Fabric processing cylinder; 120. Image acquisition unit; 130. Door body DETAILED DESCRIPTION

[0049] The specific embodiments of the present application will now be described in detail with specific reference being made to the figures. It is to be understood that the description given herein is only for the purpose of illustrating preferred embodiments of the present application and is not intended to limit the present application in any way. Furthermore, the description set forth herein with respect to the preferred embodiments of the present application is not intended to limit the present application in any way and is specifically contemplated that the present application can be practiced with other embodiments.

[0050] The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the description of the embodiments of the application and the appended claims, the singular forms "a", "an" and "the" are intended to include both the singular and the plural, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0051] It should be understood that the term "and / or" as used herein is merely an associative relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, the character " / " herein generally means that the front and rear associated objects are in an "or" relationship.

[0052] It should also be noted that the terms "comprises", "comprising", or any other variations thereof, are intended to cover non-exclusive inclusions, so that the products or systems including a series of elements not only include those elements, but also include other elements not explicitly listed, or include elements inherent to such products or systems. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the product or system including the element.

[0053] The embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0054] As shown in Figure 1 An exemplary embodiment of the present application provides a fabric treatment apparatus 100. The fabric treatment apparatus 100 can include, but is not limited to, a washing machine, which can include, but is not limited to, a washing and caring all-in-one machine, a washing and drying all-in-one machine, etc. For example, the washing machine can be a drum washing machine or an impeller washing machine having a drying or washing and caring function, and of course, the washing machine can also be other types of full-automatic washing machines.

[0055] In the following examples, the fabric treatment apparatus 100 is exemplified as a washer-dryer or a dryer.

[0056] In the fabric treatment apparatus 100, a fabric treatment drum 110 is provided, and the fabric treatment drum 110 is capable of containing fabric. The fabric treatment apparatus 100 is capable of running a wrinkle removal care program to achieve wrinkle removal care of the fabric in the fabric treatment drum through the wrinkle removal care program.

[0057] The fabric treatment drum 110 in the fabric treatment apparatus 100 can be one or two or more. When the number of fabric treatment drums 110 is two, the two fabric treatment drums 110 can be arranged in an up-down orientation or a left-right orientation, and the two fabric treatment drums 110 can share one drying air duct.

[0058] In the fabric treatment apparatus 100, a drying module (not shown in the figure) is further provided, and the drying module includes a drying air duct, a drying fan, and a drying piece.

[0059] The outlet and the inlet of the drying air duct are both in communication with the interior of the fabric treatment drum, and the drying fan and the drying piece are both arranged in the drying air duct. The drying piece is configured to dehumidify and heat the wet hot gas drawn from the fabric treatment drum to form a drying air flow to achieve drying treatment of the fabric.

[0060] The drying piece can be directly fixed in the drying air duct, or fixed in the drying air duct by using other fasteners such as screws, etc. The drying piece can be arranged at a position close to the outlet of the drying air duct.

[0061] The drying piece can include but is not limited to an electric heating wire or a PTC (Positive Temperature Coefficient) heater, etc. which can heat air.

[0062] Along the flow direction of the drying air flow, the drying fan can be arranged upstream of the drying piece. Through rotation of the drying fan, on the one hand, the wet hot gas drawn from the fabric treatment drum can be guided into the drying piece to form the drying air flow, and on the other hand, the drying air flow can also be driven into the fabric treatment drum to provide suitable drying air flow for the fabric treatment drum to meet the drying air flow requirement of the fabric treatment drum during drying operation. Or, during air drying treatment of the fabric, or during the process of cooling the fabric treatment drum or the fabric in the later stage of drying treatment, suitable air volume is provided to meet the air drying treatment requirement of the fabric and the cooling requirement of the fabric treatment drum.

[0063] The drying fan can adopt a fan in the prior art, such as an induced-draft fan or an axial flow fan, etc.

[0064] The fabric treatment apparatus 100 can operate a wrinkle removal care program, wherein the wrinkle removal care program can be a process of removing wrinkles of the fabric by steam. That is, the fabric treatment apparatus 100 in the present example is further provided with a steam generator (not shown in the figure).

[0065] The steam generator can generate steam during a laundry process, a fabric care process, or a drying process, and uniformly spray the steam onto the fabric, thereby performing a corresponding treatment on the fabric. The addition of steam can help to improve the cleaning degree of the fabric, and also has the effects of sterilization and deodorization. In addition, in the fabric care process, the addition of steam can also help to soften the fabric fibers and remove wrinkles, thereby improving the fabric care effect.

[0066] In some embodiments, the steam generator can include a steam generator and a steam delivery pipeline.

[0067] The steam generator can be provided inside the fabric treatment apparatus, or can also be provided outside the fabric treatment apparatus. The steam generator can adopt the structure in the prior art, which will not be described here. The steam generation rate inside the steam generator can be fixed. Based on the steam generation rate and the amount of steam required by the fabric at each stage, the steam delivery time required to remove wrinkles formed in different times by fabrics of different materials can be obtained, and then the fabric can be treated accordingly, such as humidification, wrinkle removal care, drying and humidification, etc.

[0068] An efficient heating element and a water circulation system can be provided in the steam generator to quickly generate high-temperature steam, and the output amount of steam can be effectively controlled by a flow control valve provided in the steam generator. It should be noted that the heating element can be a heating element in the prior art, which is not limited here. The heating element can be independently provided, or can also be integrated into a special system inside the fabric treatment apparatus.

[0069] The steam delivery pipeline includes an inlet and at least one outlet. The inlet of the steam delivery pipeline is connected to the steam generator. The number of outlets of the steam delivery pipeline can be one or more. Regardless of the number of outlets of the steam delivery pipeline, each outlet is in communication with the inside of the fabric treatment drum. When the number of outlets of the steam delivery pipeline is more than one, the multiple outlets are respectively in communication with the inside of different positions of the fabric treatment drum, so as to ensure that equal or unequal amounts of steam can be delivered to each direction inside the fabric treatment drum 110 at the same time, thereby meeting the needs of the steam care, humidification or drying stages of the fabric.

[0070] It should be noted that the steam delivery pipeline can be flexibly arranged inside the fabric treatment device 100. A dedicated steam nozzle can be arranged at the outlet of each steam delivery pipeline, and the steam nozzle can be used to directly spray steam to the fabric to ensure that the steam can penetrate into the fabric fibers.

[0071] When the control system of the fabric treatment device 100 controls the fabric treatment device to start the care program, the steam humidification stage is first performed, that is, the heating element in the steam generator is controlled to heat the water storage device (such as a steam water box) in the water circulation system, so as to generate steam, and the steam is delivered to the fabric treatment drum through the steam delivery pipeline. The steam penetrates into the interior of the fabric, softens or heats the fibers of the fabric, and thus plays a role of humidification, deodorization or wrinkle removal.

[0072] Then, the control system controls the fabric treatment drum 110 to enter the drying and setting stage. In the early stage of the drying and setting stage, the surface temperature of the fabric is raised by using the drying module to evaporate and dry the free water and bound water in the fabric.

[0073] In the later stage of the drying and setting stage, high-temperature and low-humidity drying air flow can be made by the drying fan and the drying piece in the fabric treatment device 100, and the drying air flow is delivered to the fabric treatment drum 110 to raise the temperature of the surface of the fabric, so as to evaporate the bound water in the fabric. At the same time, the evaporated water is discharged to the outside of the fabric treatment device 100 by the drying module, and the fabric is de-wrinkled, so as to realize the care of the fabric.

[0074] It should be noted that the control system of the fabric treatment device 100 can adopt the control system in the prior art, as long as the control system can control various starting functions of the fabric treatment device 100. The specific structure type and specific control logic of the control system are not described here.

[0075] During the steam humidification and drying and setting stages of the fabric, the characteristic state or surface state of the fabric surface needs to be monitored in real time. Therefore, an image acquisition unit 120 can also be arranged in the fabric treatment drum 110. The image acquisition unit 120 can include but is not limited to a camera, a video camera and a scanner, etc. The image acquisition unit 120 is used to acquire state information of the fabric surface, which can include first state information for representing the humidity of the fabric and second state information for representing the flatness of the fabric. That is, the image acquisition unit 120 can be used to monitor the humidification state of the fabric surface or the flatness of the fabric surface in real time, so as to ensure the wrinkle removal and care effect of the fabric.

[0076] In one example, the fabric treatment drum 110 is a drum-type structure, and the image acquisition unit 120 can be arranged in an upper inner position of the fabric treatment drum 110, for example, arranged obliquely above or directly above the inner wall of the fabric treatment drum 110 to meet the image acquisition requirement of fabric care or any stage of fabric treatment.

[0077] In another example, as shown in Figure 1 the fabric treatment drum 110 is a drum-type structure, and a door body 130 is arranged at the opening position of the drum, and the image acquisition unit 120 is a scanner. The scanner is arranged at the door gap position between the door body 130 and the fabric treatment drum 110 and located at the upper position of the door body 130. It should be noted that the upper position of the door body 130 refers to the upper region in the height direction of the fabric treatment device 100, that is, the scanner can monitor the rolling state of the fabric in real time by scanning the fabric surface of the fabric in the rolling process, and obtain the feature parameters of the fabric surface, wherein the feature parameters at least include the shape of the fabric surface.

[0078] In the fabric treatment device 100, a smart sensor (not shown in the figure) that can obtain or detect the fabric material is also arranged. The smart sensor can include but is not limited to sensors related to electrical conductivity, thermal conductivity or acoustic wave reflection, and based on the above-mentioned smart sensor, the fabric treatment device can help to identify the fabric material autonomously.

[0079] Alternatively, the fabric material can also be analyzed and inferred by water absorption rate or spectrum technology, for example, in the fabric washing, rinsing, dehydration or drying process, the total water absorption rate of the fabric is calculated by the dry weight before water absorption and the wet weight after water absorption, so as to judge the fabric material. The process of judging the fabric material by using the spectrum technology is: by analyzing the spectrum reflected or absorbed by the fabric through the control system, the composition and material of the fabric can be accurately identified.

[0080] Of course, other fabric material judgment methods can also be used, for example, the image acquisition unit uses image recognition technology and deep learning algorithm to intelligently identify and judge the fabric, so as to accurately determine the fabric material, etc.

[0081] As shown in Figure 2 an example embodiment of the present application provides a care control method of a fabric treatment device, wherein the fabric treatment device 100 can run a care program to perform wrinkle removal care on the fabric in the fabric treatment drum 110, and the care control method comprises the following steps:

[0082] Step S100: obtaining attribute information and state information of the fabric.

[0083] Step S200: Input the fabric's attribute information and status information into the preset model to analyze the current status of the fabric and optimize the care procedure.

[0084] Step S300: Control the nursing procedure based on the analysis results and optimization suggestions output by the preset model.

[0085] In step S100, the image acquisition unit 120, located within the fabric processing cylinder 110, acquires the fabric's attribute information and state information. The fabric attribute information includes at least the fabric type and material type. Based on the attribute information, it can be determined which type of fabric will be treated. The fabric state information includes at least the fabric humidity and fabric smoothness.

[0086] In step S200, the relevant information such as fabric type, material type, fabric humidity and / or fabric smoothness obtained in the above steps are input into the preset model to effectively analyze the current state of the fabric, and optimize the subsequent care procedures of the fabric based on the analysis results.

[0087] In step S300, when the fabric humidity in the analysis results does not meet the preset humidification level in the preset model, or the fabric smoothness does not meet the preset smoothness state in the preset model, the fabric at this time is treated accordingly, such as continuing to humidify or continuing to dry and set, so that the humidity of the re-treated fabric meets the preset humidification level, or the smoothness of the re-treated fabric meets the preset smoothness state.

[0088] In this example, the surface condition of the fabric is detected, and the analysis results and optimization suggestions output by the preset model are used to evaluate the fabric care effect and adjust the subsequent fabric care procedures, thereby effectively improving the fabric care effect and enhancing the user experience of the fabric treatment equipment.

[0089] like Figure 3 As shown, in some embodiments, the care procedure includes at least one of a steam humidification stage and a drying and shaping stage.

[0090] During the steam humidification stage, the state information includes first state information characterizing the fabric humidity. The fabric humidity can be adjusted by steam humidifying the fabric surface using a steam generator, wherein the fabric surface can be scanned multiple times by a scanner (image acquisition unit 120) to obtain the degree of humidification of the fabric surface after each scan.

[0091] In the drying and setting stage, the state information includes second state information representing the flatness of the fabric. The flatness of the fabric can be determined by a state process after removing wrinkles on the surface of the fabric in the later period of the drying and setting stage. The flatness of the fabric after each scanning of the surface of the fabric can be obtained by multiple scanning of the surface of the fabric by the scanner (image acquisition unit 120).

[0092] The process of obtaining the attribute information and the state information of the fabric can occur before the target care stage; or, the process can occur in the target care stage; or, the process can occur after the target care stage. The target care stage is one of the steam humidifying stage or the drying and setting stage.

[0093] That is, the target care stage can be the steam humidifying stage; or, the target care stage can be the drying and setting stage; or, the target care stage can include the steam humidifying stage and the drying and setting stage, and the steam humidifying stage is performed before the drying and setting stage.

[0094] In one example, when the process of obtaining the attribute information and the state information of the fabric occurs before the target care stage, and the analysis result and the optimization suggestion output by the preset model include the recommended care mode and / or the care parameter, the recommended care mode and / or the care parameter output by the preset model are adopted to perform the target care stage.

[0095] Taking the steam humidifying stage as the target care stage, before the steam humidifying stage is performed, the control system of the fabric treatment drum obtains the attribute information and the state information of the fabric. The attribute information and the state information of the fabric can be obtained by the image acquisition unit 120 arranged in the fabric treatment drum 110, so as to determine the current state of the fabric. Then, the current state of the fabric is compared with the pre-stored state information in the preset model. For example, the preset model pre-stores information related to the preset humidifying degree of the fabric. After the fabric is humidified, the current state of the fabric after humidification is compared with the preset humidifying degree. If the current state of the fabric meets the preset humidifying degree, the target care stage can be ended.

[0096] If the current state of the fabric does not meet the preset humidifying degree, the control system gives an analysis result based on the comparison, such as which stage in the humidifying process the current state of the fabric after humidification is in, and gives a corresponding optimization suggestion, i.e., the steam temperature, the steam flow rate and the fan speed for subsequent humidification of the fabric, so that the current state of the fabric after subsequent humidification can meet the preset humidifying degree.

[0097] Similar to the steam humidifying stage, when the target care stage is the drying and setting stage, the control system of the fabric treatment drum acquires the attribute information and state information of the fabric before the drying and setting stage is performed, wherein the attribute information and state information of the fabric can be acquired by the image acquisition unit 120 arranged in the fabric treatment drum 110, so as to determine the current state of the fabric. Then, the current state of the fabric at this time is compared with the pre-stored state information in the preset model. For example, the preset model pre-stores information related to the preset flatness of the fabric surface. During the drying and setting of the fabric, the current state of the fabric is compared with the preset flatness. If the current state of the fabric meets the preset flatness, the target care stage at this time can be ended.

[0098] When the current state of the fabric does not meet the preset flatness, the control system gives an analysis result based on the comparison, such as the current state of the fabric during the drying and setting of the fabric is in which stage of the drying and setting, and gives a corresponding optimization suggestion, i.e., the steam temperature, steam flow and fan speed of the subsequent drying of the fabric, so that the current state of the fabric after the subsequent drying and setting can meet the preset flatness.

[0099] When the target care stage includes the steam humidifying stage and the drying and setting stage, the steam humidifying stage is performed first and then the drying and setting stage is performed. The operation process of the target care stage can be referred to the above examples, which will not be described here.

[0100] In an embodiment of the present application, the above-mentioned preset model can be a state prediction model which can predict the effect according to the current state, or a model obtained by combining the state prediction model with business logic. Taking the LSTM model as an example, the LSTM model can be trained in the following manner.

[0101] Data collection: During the entire process of the target care stage, the state information of a large number of fabrics (such as cotton, hemp, silk and wool) with different attribute information at different time points is collected; the care parameters in each target care stage are recorded, such as the steam temperature, steam flow, fan speed and final care effect. The final care result can be given by manual or automatically calculated according to the comparison between the actual clothing state after the target care stage and the ideal clothing state. The diversity and representativeness of the data are ensured, so that the model can be generalized to the data that has not been seen.

[0102] Data processing: Extracting features from the collected data to help the model make accurate predictions. These features may include fabric attribute information (fabric type and / or material type), status information at different time points (fabric humidity, smoothness, etc.), care parameters (steam temperature, steam flow rate, and fan speed), care modes (each historical data point corresponds to one of the preset care modes), care effects at different time points (e.g., divided into excellent, good, poor, etc.), and the final care effect.

[0103] The parameters of the nursing process are arranged in chronological order to form a time-series dataset. The input for each time point should include historical information from the current moment and several previous time steps.

[0104] Labels, such as nursing effectiveness scores, are generated for each time series sample based on nursing outcomes.

[0105] Model training: Based on the processed data, training and validation sets are formed, and the state prediction model is trained using the existing training process.

[0106] The aforementioned state prediction model can take the current attribute information and state information of the fabric as input, and output the time required to achieve a certain nursing effect, as well as the corresponding nursing parameters and / or nursing mode, and the real-time nursing effect corresponding to the current state (e.g., divided into excellent, good, poor, etc.). For example, the first time required to achieve "excellent" and the corresponding first nursing parameters and / or first nursing mode; the second time required to achieve "good" and the corresponding second nursing parameters and / or second nursing mode.

[0107] Based on the output of the above state prediction model, business logic design can be performed to obtain the preset model provided in the embodiments of this application.

[0108] For example, before the target care stage, the first time required to achieve an "excellent" effect is obtained based on the status prediction model. The preset model compares this first time with a first time threshold. If it is less than the first time threshold, it means that a very short time is needed to achieve an "excellent" effect, indicating that the current condition of the clothing is relatively good, and the preset model can obtain an analysis result indicating that no care is needed. Conversely, if the third time required to achieve a "poor" effect is greater than the second time threshold, it means that a very long time is needed to achieve a "poor" effect and an even longer time to achieve an "excellent" effect, indicating that the current condition of the clothing is relatively poor, and the preset model can obtain an analysis result indicating that care is needed.

[0109] Meanwhile, when it is determined that nursing care is required, the preset model can output nursing modes and / or nursing parameters corresponding to different levels (excellent, good, poor) based on the state prediction model as optimization suggestions.

[0110] If human intervention is needed, the preset model can output the optimization suggestion to the user (e.g., screen presentation), and the user can select the care mode and / or care parameter to be performed according to the desired care effect, and then the fabric treatment device performs the care mode and / or care parameter selected by the user.

[0111] If human intervention is not needed, the preset model can directly determine the care mode and / or care parameter according to the preset rules, and then the fabric treatment device performs the care mode and / or care parameter. For example, taking the preset rule as an example that meets the user's preference, if the user prefers the best care effect, the preset model directly outputs the care mode and / or care parameter corresponding to the "excellent" level for the subsequent care program; if the user prefers less time, the preset model directly outputs the care mode and / or care parameter corresponding to the "poor" level for the subsequent care program; if the user prefers to balance the care effect and time, the preset model directly outputs the care mode and / or care parameter corresponding to the "good" level for the subsequent care program.

[0112] For another example, in the target care stage, the preset model can obtain the real-time care effect corresponding to the current state based on the state prediction model, i.e., the care effect evaluation of the current state, and provide an optimization suggestion in the subsequent care stage to achieve the target state if the care effect evaluation does not reach the target state.

[0113] The target state can be a set value, for example, a care effect of "excellent". It can also be, for example, the care effect expected to be reached by the user during the initial intervention, i.e., if the user initially expects the overall care effect to be excellent, and if the real-time care effect detected during the actual execution process does not correspond to the real-time evaluation of excellent, then the target state is not reached.

[0114] The preset model can output the care parameter and / or care mode that needs to be performed to achieve the target state to the user for confirmation, or directly output to the care program for execution.

[0115] For another example, after the target care stage and the target care stage is the last care stage of the care program. The preset model can obtain the real-time care effect corresponding to the current state based on the state prediction model, i.e., the final care effect evaluation. And in the case that the final care effect evaluation does not reach the target state, give a re-care suggestion, and for the re-care suggestion, give a recommended care mode and / or care parameter, for example, the care mode and / or care parameter required to achieve the target care effect is predicted by the state prediction model according to the current state of the fabric as input. The foregoing is described in detail, and will not be repeated here.

[0116] For example, after the target care stage, and if the target care stage is not the last care stage of the care program, the preset model can obtain the real-time care effect corresponding to the current state based on the state prediction model, i.e., the care effect evaluation. For the care effect that does not reach the target state, it is suggested whether to repeat the target care stage or continue the subsequent care stage; for the suggestion to continue the subsequent care stage, the recommended care mode and / or care parameter of the subsequent care stage are also given.

[0117] If the time length required to reach the target effect is greater than the time length threshold (i.e., a long time is required), it is suggested to repeat the target care stage. If the time length is not greater than the time length threshold (i.e., a short time is required), the subsequent care stage is continued. In the case of continuing the subsequent care stage, the care mode and / or care parameter required to reach the target effect based on the current state are predicted based on the state prediction model.

[0118] Optionally, in an embodiment of the present application, the state information of the fabric can be determined according to the mass-spring model. In the steam humidification stage, the state information includes first state information representing the humidity of the fabric, and in the drying and setting stage, the state information includes second state information representing the flatness of the fabric. The mass-spring model can be used to simulate the stretching, compression, bending, and other behaviors of the fabric. Those skilled in the art will understand that by adjusting the stiffness coefficient and other parameters of the spring, different types of fabrics (such as cotton, silk, wool, etc.) can be simulated. This simulation can help to understand the deformation of the fabric during the care process, which may, indirectly, reflect the surface characteristics of the fabric.

[0119] In an embodiment of the present application, the preset model mentioned above can be established by the following method:

[0120] The preset humidification degree of the fabric in the fabric treatment drum in the steam humidification stage is determined. In addition, the preset flatness of the fabric in the fabric treatment drum in the drying and setting stage is determined.

[0121] The process of determining the preset humidification degree can use the following method:

[0122] First, the material information of the fabric is determined. The material information of the fabric can be detected by the intelligent sensor provided in the fabric treatment device 100, or the fabric can be intelligently recognized and judged by the image acquisition unit 120 using image recognition technology and deep learning algorithm to accurately determine the material of the fabric.

[0123] Then, during the humidification training process of the fabric, the fabric processing cylinder 110 is controlled to rotate at a first set running speed, and the image acquisition unit 120 is used to acquire the humidification effect image of the fabric after each humidification at a first set time rhythm.

[0124] The first set running speed can be flexibly set according to the capacity of the fabric processing cylinder 110, and the value range of the first set running speed can be between 35 rpm and 60 rpm. It should be noted that if the first set running speed is too fast, such as more than 60 rpm, the steam is not easy to adhere to the surface of the fabric, which is not conducive to softening the fibers of the fabric, thereby affecting the subsequent wrinkle removal and care effect of the fabric. If the first set running speed is too slow, such as less than 35 rpm, the fabric in the fabric processing cylinder 110 has poor overturning effect, which will make the steam humidification effect poor, and it is easy to cause part of the fabric to be humidified, while the other part of the fabric is not humidified, thereby affecting the overall operation of the steam humidification stage.

[0125] The preferred value range of the first set running speed is between 40 rpm and 55 rpm.

[0126] The first set time rhythm can be flexibly set according to the different materials of the fabric, which is not limited here. The first set time rhythm can be the frequency of 10 scans of the fabric per second.

[0127] Finally, according to the multiple humidification effect images and material information of the fabric, a first training model for the fabric of this material type is determined, wherein the first training model includes a preset humidification degree for representing the fabric humidity. That is, the first training model includes the stable state and the fixed state of the fabric humidification degree, as shown in FIG. 6, the stable state is the 3rd time t / s in the first training model, and the fixed state is the 6th time t / s in the first training model. Figure 4

[0128] In one example, the following method can be used to determine the first training model:

[0129] The image of the multiple humidification effect images of the fabric to be cared for in the movement of the fabric processing cylinder 110 under the illumination condition of the fabric processing cylinder 110 is obtained, and the feature parameters of the fabric in each humidification effect image are extracted, wherein the feature parameters are used to represent the shape of the fabric surface.

[0130] The image vectorization grid segmentation is performed on each humidification effect image of the fabric, the set target shape based on the feature parameters is extracted in the internal or boundary of the segmentation position in the humidification effect image according to the different characteristics of the image in each region, and the humidification effect image is smoothed to remove image noise.

[0131] ​It is to be noted that the image vectorization grid segmentation of the humidification effect diagram is to divide the image into a plurality of specific regions with unique properties, and to propose a technology and process of a target of interest. It is a key step from image processing to image analysis. Among them, the image vectorization grid segmentation of the image mainly includes the following cases: threshold-based segmentation method, region-based segmentation method, edge-based segmentation method and segmentation method based on specific theory, etc. Among them, the image vectorization grid segmentation is a process of dividing a digital image into mutually exclusive regions, and is also a marking process, that is, assigning the same label to the pixels belonging to the same region.

[0132] Finally, the processed humidification effect diagram is modeled by using numerical integration, and each region of interest on the fabric surface is marked by a particle. The position of each particle is calculated by a modeling formula, which is based on the particle spring model, that is, the particle spring model, setting the target shape and material information for modeling, so as to determine the first training model.

[0133] The particle spring model is a fabric simulation model based on dynamics. The operation of the fabric based on this model is a motion process of all particles under the action of various forces. The motion process of the particle is obtained by solving the differential variance of the particle according to Newton's law of mechanics.

[0134] Among them, the particle calculation can quickly and truly simulate the dynamic simulation of the fabric, simulate the possible dynamic effect of each particle under the interaction of various forces, and determine the state of the fabric humidification or the flatness of the fabric surface through the dynamic effect.

[0135] The training method of the first training model mainly regards the fabric as a grid system composed of particles and springs connecting the particles. These grid systems constitute the shape of the fabric. Each particle has three-dimensional coordinates, direction and speed attributes. The relationship between the particles is mainly transmitted by springs without mass, and is connected with adjacent particles, so as to realistically simulate the dynamic simulation effect of different material fabrics.

[0136] Among them, the calculation process of the particle state on the fabric surface is:

[0137] The initial value of the particle position on the fabric surface is given.

[0138] The force process of the particle is determined, and the force process of the particle is:

[0139]

[0140] The position of the particle is calculated, and the calculation process of the position of the particle is:

[0141]

[0142] updating the state of the particle.

[0143] wherein, denotes the velocity of the particle i at the current position time, denotes the velocity of the particle i at the next position time, denotes the position of the particle i at the n time, denotes the position of the particle i at the next position time, denotes the force acting on the particle i at the n time, including the combination of gravity, wind force, damping force, h denotes the time of each step, and m denotes the mass.

[0144] The first training model can be determined through the above process, wherein the first training model includes the first state information for representing the wetting degree of the clothes, and further includes the stable state and the fixed state for representing that the fabric wetting reaches the optimal clothes state.

[0145] The preset flatness of the fabric in the drying and setting stage in the fabric treatment drum can be determined by the following method:

[0146] Firstly, the material information of the fabric is determined. The material information of the fabric can be detected by the intelligent sensor provided in the fabric treatment equipment 100, or the fabric can be intelligently recognized and judged by the image acquisition unit 120 using image recognition technology and deep learning algorithm to accurately determine the material of the fabric.

[0147] Then, in the fabric dehumidification and wrinkle removal training process, the fabric treatment drum 110 is controlled to rotate at a second set running speed, and the image acquisition unit 120 is used to obtain the flatness effect picture of the fabric after continuous multiple times of dehumidification at a second set time rhythm.

[0148] The second set running speed can be flexibly set according to the capacity of the fabric treatment drum 110, and the value range of the second set running speed can be between 35 rpm and 60 rpm. It should be noted that if the second set running speed is too slow or too fast, such as lower than 35 rpm or higher than 60 rpm, the fabric turnover speed will be too slow or too fast, which will easily lead to inconsistent drying effect at different positions of the clothes, and further easily lead to that part of the fabric is not dried, while the remaining part is dried.

[0149] The preferred value range of the second set running speed is between 40 rpm and 55 rpm.

[0150] The second set time rhythm can be flexibly set according to the different materials of the fabric, which is not limited here. The second set time rhythm can be the frequency of 10 scans of the fabric per second.

[0151] Finally, according to the plurality of flatness effect maps of the fabric and the material information, a second training model for the fabric of the material type is determined, wherein the dry state and the flat state of the fabric surface of the fabric in the drying and setting stage are included in the second training model. That is, the dry state and the flat state of the fabric surface flatness are included in the second training model, and the dry state is the 9th time t / s in the second training model, and the flat state is the 12th time t / s in the second training model. Figure 4

[0152] In one example, the following method can be used to determine the second training model:

[0153] The images of the plurality of flatness effect maps of the fabric in motion under the illumination conditions of the fabric treatment drum 110 are obtained, and the effective cloth information of the fabric surface in each flatness effect map is extracted.

[0154] The image vectorization grid segmentation is performed on each flatness effect map of the fabric, the set target shape based on the feature parameters is extracted in the interior or boundary of the segmentation position in the flatness effect map according to the different characteristics of the image in each region, and the smoothing processing is performed on the humidification effect map to remove the image noise.

[0155] Finally, the processed humidification effect map is modeled by using the numerical integral solution, and each region of interest of the fabric surface is marked with a particle, and the position of each particle is calculated by a modeling formula, wherein the modeling formula is based on the particle spring model, that is, the particle spring model, the set target shape and the material information are modeled to determine the second training model.

[0156] In yet another example, when the attribute information and the state information of the fabric are obtained in the process of the target care stage, and the analysis result and the optimization suggestion output by the preset model include: care effect evaluation; and optimization suggestion for the care effect in the subsequent care stage to achieve the target state.

[0157] When the target care stage includes the steam humidification stage, the fabric is subjected to steam humidification by a steam generator or the like. In the process of humidifying the fabric by steam, the surface texture state of the fabric changes with the absorption of the steam. Then, the surface of the fabric is scanned multiple times by a scanner (image acquisition unit 120) to obtain the humidification degree of the fabric surface after each scanning.

[0158] When the target care stage only includes the drying and setting stage, the surface of the fabric is scanned multiple times by a scanner (image acquisition unit 120) to obtain the flatness after each scanning of the fabric surface. ​

[0159] When the target care stage includes a steam humidification stage and a drying and shaping stage, the surface of the fabric is first scanned multiple times by a scanner (image acquisition unit 120) to obtain the degree of humidification of the fabric surface after each scan. Then, in the drying and shaping stage at the later stage of the fabric drying stage, the surface of the fabric is scanned multiple times by a scanner (image acquisition unit 120) to obtain the smoothness of the fabric surface after each scan.

[0160] When the target care stage is the steam humidification stage, after acquiring the humidification status of the fabric, the humidification status is compared with the preset humidification level stored in the control system to provide a care effect evaluation, i.e., a comparison between the humidification status and the preset humidification level. Then, based on the comparison results, it is determined whether the target care stage has ended.

[0161] The preset humidification levels stored in the control system include the stable and fixed states of the fabric during the steam humidification process. In other words, as the steam humidifies, the surface texture of the fabric is in a stable or fixed state. At this time, the steam humidification effect of the fabric has reached the ideal state, and the surface texture of the fabric will not change with the continuous input of steam.

[0162] When the first status information meets the preset humidification level, it indicates that the humidification effect of the fabric has reached the set optimal clothing state. That is, at this time, the target care stage can be ended, and the control system can control the fabric processing equipment 100 to stop running.

[0163] It should be noted that when the first state information fails to meet the preset humidification level, that is, the target state of care effect has not been achieved, and the steam humidification effect of the fabric in the steam humidification stage has not yet reached a stable or fixed state, it means that the humidification effect of the fabric is insufficient and further humidification of the fabric is required. In other words, optimization suggestions for subsequent care stages are provided. The set humidification rhythm can be used to humidify the fabric until the humidification effect of the fabric reaches the set optimal clothing state, that is, the first humidification information meets the preset humidification level.

[0164] When the target care stage only includes the drying and shaping stage, the fabric smoothness is obtained through a scanner and compared with the preset smoothness value stored in the control system to provide an evaluation of the care effect; that is, the comparison between the smoothness value and the preset smoothness value. Then, based on the comparison results, it is determined whether the target care stage has ended.

[0165] The preset flatness stored in the control system includes the dry state of the fabric during the dehumidification process. That is, as the fabric is dried, the surface flatness of the fabric is scanned in real time by the scanner, and the effective cloth information about the fabric surface in the scanned image is extracted by the control system. Then, the actual care state of the fabric is determined according to the extracted target shape.

[0166] When the second state information meets the preset flatness, it indicates that the surface of the clothes is flat, and the clothes have reached the dry state, and there is no need to continue heating and drying. At this time, the control system controls the fabric treatment equipment 100 to stop running the target care program, and controls the fabric treatment equipment 100 to start the cold wind mode to directly blow cold wind on the fabric by using the fan provided in the fabric treatment equipment 100, so as to prevent the fabric from generating new wrinkles due to over-drying, and affect the care effect of the clothes.

[0167] When the preset running time of the drying and shaping stage ends and the flatness of the fabric does not reach the dry state, that is, the target state care effect is not reached, the subsequent care stage optimization suggestion provided at this time is to start the humidification mode of the fabric treatment equipment 100. The fabric can be re-humidified by steam humidification, and then the fabric is dried again to further optimize the wrinkle removal of the fabric to be cared for, and effectively improve the steam humidification effect of the fabric and the subsequent shaping and wrinkle removal effect.

[0168] In another example, when the attribute information and state information of the fabric are obtained and sent after the target care stage, and the target care stage is the last care stage of the care program, the analysis structure and optimization suggestion output by the preset model include: care effect evaluation; re-care suggestion for the care effect that does not reach the target state; and recommended care mode and / or care parameter for the re-care suggestion.

[0169] When the target care stage only includes the steam humidification stage, the care effect evaluation and the re-care suggestion for the care effect that does not reach the target state can refer to the above example, which will not be described here.

[0170] When the first state information does not meet the preset humidification degree, that is, the humidification effect of the fabric in the steam humidification stage is not in a stable or fixed state, it indicates that the humidification effect of the fabric is not enough, and the fabric needs to be further humidified, that is, the subsequent care stage optimization suggestion is provided. The fabric can be humidified at a set humidification rhythm until the humidification effect of the fabric reaches the set best clothes state, that is, the first humidification information meets the preset humidification degree.

[0171] When the target care stage only includes the drying and setting stage, the care effect evaluation and the re-care suggestion for the care effect that does not reach the target state can refer to the above examples, which will not be repeated here.

[0172] When the drying and setting stage is preset to end after the running time, the fabric flatness has not reached the dry state, that is, the care effect does not reach the target state, and the subsequent care stage optimization suggestion provided at this time is to start the humidification mode of the fabric treatment device 100, and the fabric can be re-humidified by steam humidification, and then the fabric is dried to further optimize the wrinkle removal of the fabric to be cared for, effectively improving the steam humidification effect of the fabric and the subsequent setting and wrinkle removal effect.

[0173] In an example, when the attribute information and state information of the fabric are obtained after the target care stage, and the target care stage is not the last care stage of the care program, the analysis structure and optimization suggestion output by the preset model include: care effect evaluation; re-reading the target care stage or continuing the subsequent care stage suggestion for the care effect that does not reach the target state; and for continuing the subsequent care stage, the recommended care mode and / or care parameter of the subsequent care stage are also given.

[0174] When the target care stage includes the steam humidification stage and the drying and setting stage, it is first determined whether the first state information of the fabric conforms to the preset humidification degree. When the first state information conforms to the preset humidification degree, it indicates that the humidification effect of the fabric reaches the set optimal clothing state, and the steam humidification stage is stopped. When the first state information does not conform to the preset humidification degree, it indicates that the humidification effect of the fabric is not enough, and the fabric needs to be further humidified until the humidification effect of the fabric reaches the set optimal clothing state, that is, the first humidification information conforms to the preset humidification degree.

[0175] After the steam humidification stage is stopped, the clothes are dried and dehumidified, that is, after the preset time, the drying and setting stage starts to run.

[0176] The preset time can be determined according to the temperature rising speed of the fabric surface in the early stage, because after the fabric is humidified by steam, the fabric is treated by the drying module, and in the early stage of drying treatment, the temperature rising rate of the fabric surface is relatively slow due to the large amount of combined water and free water on the fabric surface. After the steam humidification of the fabric, the temperature rising rate of the fabric surface will be greatly improved after the free water on the fabric surface is evaporated due to drying. That is, the preset time can be set as the time required for the turning point of the temperature of the fabric surface from slow to greatly improved.

[0177] During the running of the drying and setting stage, the flatness of the fabric is acquired in real time by the scanner, and then when the flatness meets the preset flatness, the target care stage is ended, and the fabric is subjected to a cooling operation. The cooling operation can be to control the fabric treatment equipment 100 to open the cold air mode, so as to directly blow cold air on the fabric by using the fan provided in the fabric treatment equipment 100, so as to prevent the fabric from generating new wrinkles due to over-drying, and affect the care effect of the clothes.

[0178] It should be noted that when the running time of the drying and setting stage ends and the flatness of the fabric has not reached the dry state, the humidification mode of the fabric treatment equipment 100 is started, and the fabric can be re-humidified by steam humidification, and then the fabric is dried again to further optimize the wrinkle removal of the fabric to be cared for, and effectively improve the steam humidification effect of the fabric and the subsequent setting and wrinkle removal effect.

[0179] In this example, the state information of the fabric surface can determine the humidification effect of the fabric in the steam humidification stage, so as to ensure the wrinkle removal and care effect of the fabric in the subsequent drying process, and can also determine the flatness state of the fabric in the drying and setting stage, so as to accurately improve the wrinkle removal and care effect of the fabric, and further improve the user experience of using the fabric treatment equipment.

[0180] An example embodiment of the present application provides an electronic device including a processor (not shown in the figure) and a memory (not shown in the figure) connected to the processor. The memory is used to store one or more computer executable instructions. Wherein, the computer executable instructions can be called and executed by the processor to perform the care control method of the fabric treatment equipment in the above-mentioned embodiment.

[0181] Wherein, the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The processor is the control center of the fabric treatment equipment, and connects each part of the fabric treatment equipment by various interfaces and lines.

[0182] An example embodiment of the present application provides a fabric treatment device controlled by the care control method of any of the above embodiments, or having an electronic device as in the above embodiments.

[0183] In the above example, the fabric treatment device 100 can perform a care program on the fabric, and the care control method includes: obtaining attribute information and state information of the fabric; inputting the attribute information and state information of the fabric into a preset model to analyze the current state of the fabric and optimize the care program; and controlling the care program according to the analysis result and optimization suggestion output by the preset model. In this example, the surface state of the fabric is detected, and the care effect of the fabric is evaluated based on the analysis result and optimization suggestion output by the preset model, and the subsequent fabric care program is adjusted, thereby effectively improving the care effect of the fabric and effectively improving the user experience of the fabric treatment device.

[0184] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the features disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0185] It should be understood that the application is not limited to the precise construction and will vary in form and detail without departing from the spirit of the application. The scope of the application is limited only by the claims that follow.

Claims

1. A care control method of a fabric treatment apparatus capable of performing a care program on a fabric, characterized by, The care control method comprises: obtaining attribute information and state information of the fabric; inputting the attribute information and the state information of the fabric into a preset model to analyze a current state of the fabric and optimize the care program; controlling the care program according to an analysis result and an optimization suggestion output by the preset model; the attribute information and the state information of the fabric are obtained after a target care stage, and the target care stage is not the last care stage of the care program, and the analysis result and the optimization suggestion output by the preset model comprise: care effect evaluation; for the care effect that does not reach a target state, giving a suggestion of whether to repeat the target care stage or continue a subsequent care stage; for the suggestion of continuing the subsequent care stage, also giving a recommended care mode and / or care parameter of the subsequent care stage; the care program comprises at least one of a steam humidification stage and / or a drying and setting stage; and the target care stage is at least one of the steam humidification stage or the drying and setting stage.

2. The care control method of a fabric treatment apparatus according to claim 1, characterized by, the attribute information comprises a fabric type and a material type; in the steam humidification stage, the state information comprises first state information representing fabric humidity, and in the drying and setting stage, the state information comprises second state information representing fabric flatness.

3. The care control method of a fabric treatment apparatus according to claim 1, characterized by, the attribute information and the state information of the fabric are also obtained before the target care stage and / or in the target care stage.

4. The care control method of a fabric treatment apparatus according to claim 3, characterized by, the attribute information and the state information of the fabric are obtained before the target care stage, and the analysis result and the optimization suggestion output by the preset model comprise: whether care is needed; when care is needed, recommending a care mode and / or a care parameter; controlling the care program according to the analysis result and the optimization suggestion output by the preset model comprises: adopting the recommended care mode and / or the care parameter output by the preset model to execute the target care stage.

5. The care control method of a fabric treatment apparatus according to claim 3, characterized by, the attribute information and the state information of the fabric are obtained in the target care stage, and the analysis result and the optimization suggestion output by the preset model comprise: care effect evaluation; for the care effect that does not reach a target state, providing an optimization suggestion of a subsequent care stage.

6. The care control method of a fabric treatment apparatus according to claim 1, characterized by, the attribute information and the state information of the fabric are obtained after the target care stage, and the target care stage is the last care stage of the care program, and the analysis result and the optimization suggestion output by the preset model comprise: care effect evaluation; for the care effect that does not reach a target state, giving a re-care suggestion; for the re-care suggestion, giving a recommended care mode and / or a care parameter.

7. The care control method of a fabric treatment apparatus according to any one of claims 1 to 6, characterized in that, the care mode comprises executing the target care stage according to a preset rule; the care parameter comprises a steam temperature, a steam flow rate, and a fan speed.

8. The care control method of a fabric treatment apparatus according to any one of claims 1-6, characterized in that, controlling the care program according to the analysis result and the optimization suggestion output by the preset model comprises: outputting the optimization suggestion to a user, and executing a care program corresponding to the optimization suggestion selected by the user according to a selection of the optimization suggestion by the user.

9. An electronic device, comprising: The electronic device comprises: a memory for storing one or more computer executable instructions; a processor for invoking and executing the computer-executable instructions in the memory to implement the care control method of the fabric treatment apparatus according to any one of claims 1 to 8.

10. A fabric treatment apparatus characterised in that, controlled using the care control method of the fabric treatment apparatus according to any one of claims 1 to 8, or, the electronic device according to claim 9.

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