Nursing control method of fabric treatment equipment, electronic equipment and fabric treatment equipment

By obtaining fabric attributes and status information, and using preset models to optimize the care procedures of fabric processing equipment, the problem of existing equipment's poor care effect on fabrics of special materials is solved, and the care effect and user experience are improved.

CN120006509AActive Publication Date: 2025-05-16GREE ELECTRIC APPLIANCE INC OF ZHUHAI
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411941811.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-05-16
Estimated Expiration
2044-12-26

AI Technical Summary

Technical Problem

When existing fabric treatment equipment cares for fabrics of relatively special materials, the care effect is poor, which affects the actual use effect of users.

Method used

By obtaining the attribute information and status information of the fabric, inputting a preset model for analysis and nursing program optimization, controlling nursing program based on the output analysis results and optimization suggestions.

Benefits of technology

It effectively improves the care effect of fabrics and enhances the user's experience of fabric processing equipment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120006509A_ABST
    Figure CN120006509A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of fabric treatment equipment, in particular to a nursing control method of fabric treatment equipment, electronic equipment and the fabric treatment equipment. The fabric processing equipment can carry out a nursing program on a fabric. The nursing control method comprises the following steps: acquiring attribute information and state information of the fabric; inputting the attribute information and the state information of the fabric into a preset model so as to analyze the current state of the fabric and optimize a nursing program; and controlling the nursing program according to the analysis result and the optimization suggestion output by the preset model. According to the method, 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 use experience of a user on the fabric treatment equipment is effectively improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of fabric processing equipment, and in particular to a care control method for fabric processing equipment, electronic equipment and fabric processing equipment. Background Art

[0002] With the rapid development of the laundry industry and the continuous improvement of people's living standards, consumers have higher and higher requirements and expectations for laundry products. When using fabric processing equipment (such as all-in-one washing and care machines, all-in-one washing and drying machines, etc.), consumers are not only concerned about the cleaning effect of fabrics, but also pay more and more attention to the care effect of fabrics.

[0003] Among them, fabrics made of more special materials are usually more fragile, and various problems will arise under the mechanical action of fabric processing equipment and high washing and care temperatures. For example, wool fabrics will shrink, down fabrics will not be very fluffy after washing and care, or silk fabrics will wrinkle, etc., resulting in poor user performance of the fabric processing equipment.

[0004] Furthermore, the existing fabric treatment equipment has poor care effects when caring for fabrics of relatively special materials, which seriously affects the actual use effect of users. Summary of the invention

[0005] In view of this, the present invention provides a care control method for a fabric processing device, an electronic device and a fabric processing device to solve the problem that the existing fabric processing devices have poor care effects on fabrics during use, which affects the actual use effect of users.

[0006] A first aspect of an embodiment of the present invention provides a care control method for a fabric processing device, wherein the fabric processing device can perform a care procedure on fabrics, and the care control method comprises:

[0007] Acquiring property information and state information of the fabric;

[0008] Inputting the property information and state information of the fabric into a preset model to analyze the current state of the fabric and optimize the care procedure;

[0009] The nursing procedure is controlled according to the analysis results and optimization suggestions 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 phase and / or a drying and setting phase;

[0012] Wherein, in the steam humidification stage, the state information includes first state information characterizing fabric humidity, and in the drying and setting stage, the state information includes second state information characterizing fabric flatness.

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

[0014] Wherein, the target care stage is at least one of the steam humidification stage or the drying and setting stage.

[0015] In some embodiments, the obtaining of the fabric property information and state information occurs before the target care stage, and the analysis results and optimization suggestions output by the preset model include:

[0016] Whether nursing care is required;

[0017] recommended modes of care and / or parameters of care when care is required;

[0018] The controlling of the nursing procedure according to the analysis results and optimization suggestions output by the preset model includes:

[0019] The target nursing stage is executed using the recommended nursing mode and / or nursing parameters output by the preset model.

[0020] In some embodiments, the obtaining of the fabric property information and state information occurs in a target care phase, and the analysis results and optimization suggestions output by the preset model include:

[0021] Nursing effectiveness evaluation;

[0022] Provide optimization suggestions for the subsequent care stage for care effects that have not reached the target state.

[0023] In some embodiments, the acquisition of the fabric's property information and state information occurs after a target care stage, and the target care stage is the last care stage of a care procedure. The analysis results and optimization suggestions output by the preset model include:

[0024] Nursing effectiveness evaluation;

[0025] Provide re-nursing suggestions for nursing results that have not reached the target status;

[0026] For second care recommendations, recommended care modes and / or care parameters are given.

[0027] In some embodiments, the obtaining of the property information and 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 procedure, and the analysis results and optimization suggestions output by the preset model include:

[0028] Nursing effectiveness evaluation;

[0029] For nursing results that have not reached the target state, suggestions are given on whether to repeat the target nursing stage or continue with the subsequent nursing stage;

[0030] For the recommendation of continuing the follow-up care stage, the recommended care mode and / or care parameters of the follow-up care stage are also given.

[0031] In some embodiments, the care mode includes executing the target care phase according to preset rules;

[0032] The care parameters include steam temperature, steam flow and fan speed.

[0033] In some embodiments, controlling the nursing procedure according to the analysis results and optimization suggestions output by the preset model includes:

[0034] The optimization suggestion is output to the user, and according to the user's selection of the optimization suggestion, a nursing procedure corresponding to the optimization suggestion selected by the user is executed.

[0035] A second aspect of an embodiment of the present invention provides an electronic device, the electronic device comprising:

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

[0037] The processor is used to call and execute the computer executable instructions in the memory, so as to implement the care control method of the fabric processing device as described in any one of the first aspects.

[0038] A third aspect of the embodiments of the present invention provides a fabric processing device, which is controlled by the care control method for fabric processing device as described in the first aspect, or has the electronic device as described in the second aspect.

[0039] Compared with the prior art, the beneficial effects of the present invention are mainly:

[0040] In the care control method, electronic device and fabric processing device of the present invention, the fabric processing device can perform a care procedure on the fabric, and the care control method includes: obtaining the 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 procedure; and controlling the care procedure according to the analysis results and optimization suggestions output by the preset model. In the present invention, the surface state of the fabric is detected, and the care effect of the fabric is evaluated based on the analysis results and optimization suggestions output by the preset model, and the subsequent fabric care procedure is adjusted, thereby effectively improving the care effect of the fabric and effectively improving the user's experience of using the fabric processing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the implementation of the present invention or the technical solution in the prior art, the following briefly introduces the drawings required for the implementation or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0042] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

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

[0044] Figure 2 is a flowchart of steps of a care control method for a fabric processing device according to an embodiment of the present invention;

[0045] Figure 3 is a logic judgment flow chart of a nursing control method of a fabric processing device according to an embodiment of the present invention;

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

[0047] Reference numerals:

[0048] 100. fabric processing device; 110. fabric processing drum; 120. image acquisition unit; 130. door body DETAILED DESCRIPTION

[0049] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two, but does not exclude the inclusion of at least one.

[0051] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0052] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a product or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such a product or system. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the product or system including the elements.

[0053] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0054] like Figure 1 As shown, an exemplary embodiment of the present invention provides a fabric processing device 100. The fabric processing device 100 may include but is not limited to a washing machine, and the washing machine may include but is not limited to a washing and care machine, a washing and drying machine, etc. For example, the washing machine may be a drum washing machine or a pulsator washing machine with drying or washing and care functions, and of course, the washing machine may also be other types of fully automatic washing machines.

[0055] In the following examples, the fabric processing device 100 is described by taking a washer-dryer or a washer-dryer as an example.

[0056] The fabric treatment device 100 is provided with a fabric treatment drum 110, and fabrics can be accommodated in the fabric treatment drum 110. The fabric treatment device 100 can run a wrinkle removal care program to achieve wrinkle removal care for the fabrics in the fabric treatment drum through the wrinkle removal care program.

[0057] The fabric processing drum 110 in the fabric processing device 100 may be one, or two or more. When there are two fabric processing drums 110, the two fabric processing drums 110 may be arranged in an up-down orientation or in a left-right orientation, wherein the two fabric processing drums 110 may share a drying air duct.

[0058] A drying module (not shown in the figure) is also provided in the fabric processing device 100, and the drying module includes a drying air duct, a drying fan and a drying element.

[0059] The air outlet and air inlet of the drying air duct are both connected to the interior of the fabric processing drum, and the drying fan and the drying element are both arranged in the drying air duct. The drying element is configured to dehumidify and heat the hot and humid air drawn out from the fabric processing drum to form a drying airflow to achieve drying treatment of the fabric.

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

[0061] The drying element may include but is not limited to an electric heating wire or a PTC (Positive Temperature Coefficient, positive temperature coefficient thermistor) heater or other elements capable of heating air.

[0062] Along the flow direction of the drying airflow, the drying fan can be arranged upstream of the drying element. Through the rotation of the drying fan, on the one hand, the hot and humid gas drawn out from the fabric processing drum can be guided to the drying element to form a drying airflow, and on the other hand, the drying airflow can be driven into the fabric processing drum to provide a suitable drying airflow for the fabric processing drum to meet the drying airflow requirements of the fabric processing drum during the drying operation. Alternatively, in the process of air-drying the fabric or cooling the fabric processing drum or the fabric at the end of the drying process, a suitable air volume is provided to meet the air-drying requirements of the fabric and the cooling requirements of the fabric processing drum.

[0063] The drying fan may be a fan in the prior art, such as an induced draft fan or an axial flow fan.

[0064] The fabric treatment device 100 can run a wrinkle removal care program, wherein the wrinkle removal care program can be a process of removing wrinkles from fabrics by steam. That is, the fabric treatment device 100 in this example is also provided with a steam generating device (not shown in the figure).

[0065] The steam generating device can generate steam during the washing process, fabric care process, and drying process, and spray the steam evenly onto the fabric, thereby performing corresponding fabric treatments. The addition of steam can help improve the cleanliness of the fabric, and also has the effects of disinfection and deodorization. Moreover, during the fabric care process, the addition of steam can also help soften fabric fibers and eliminate wrinkles, thereby improving the fabric care effect.

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

[0067] The steam generator may be arranged inside the fabric processing device, or may be arranged outside the fabric processing device. The steam generator may adopt the structure in the prior art, which will not be described in detail here. The steam generation rate inside the steam generator may 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 for fabrics of different materials to eliminate wrinkles formed at different times can be obtained. Then, the fabric can be treated accordingly according to the steam delivery time, for example, humidification, wrinkle removal care, drying and humidification of the fabric can be performed.

[0068] The steam generator may be provided with an efficient heating element and a water circulation system to quickly generate high-temperature steam, and the output of the steam may be effectively controlled by a flow control valve or the like provided in the steam generator. It should be noted that the heating element may be a heating element in the prior art, which is not specifically limited here, and the heating element may be independently provided, or may be integrated into a dedicated system inside the fabric processing device.

[0069] The steam delivery pipeline includes an inlet and at least one outlet, and 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 connected to the interior of the fabric treatment cylinder, wherein, when the steam delivery pipeline has multiple outlets, the multiple outlets are respectively connected to the interior of different positions of the fabric treatment cylinder to ensure that equal or unequal amounts of steam can be delivered to all directions in the fabric treatment cylinder 110 at the same time, thereby meeting the needs of steam care, humidification or drying of the fabric.

[0070] It should be noted that the steam delivery pipeline can be flexibly arranged inside the fabric processing device 100. A special steam nozzle can be provided 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 running 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 the steam water box) in the water circulation system, thereby generating steam, and the steam is transported to the fabric treatment cylinder through the steam delivery pipe. The steam extends into the interior of the fabric, softens or heats the fibers of the fabric, and thus plays the 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 increased 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, a high-temperature, low-humidity drying airflow can be produced by the drying fan and the drying element in the fabric processing device 100, and the drying airflow is delivered to the fabric processing cylinder 110 to increase the temperature of the fabric surface, thereby evaporating the bound water in the fabric. At the same time, the drying module is combined to discharge the evaporated water to the outside of the fabric processing device 100 to remove wrinkles from the fabric, thereby achieving fabric care.

[0074] It should be noted that the control system of the fabric processing device 100 can adopt the control system in the prior art, as long as the control system can control various startup functions of the fabric processing device 100, and the specific structure type and specific control logic of the control system will not be repeated here.

[0075] During the steam humidification and drying and shaping stage of the fabric, it is necessary to monitor the characteristic state or surface state of the fabric surface in real time. Therefore, an image acquisition unit 120 may be provided in the fabric treatment cylinder 110. The image acquisition unit 120 may include but is not limited to a camera, a video camera, and a scanner. The image acquisition unit 120 is used to obtain state information of the fabric surface, and the state information may include first state information for characterizing the humidity of the fabric and second state information for characterizing the flatness of the fabric. In other words, the humidification state or the flatness of the fabric surface may be monitored in real time through the image acquisition unit 120 to ensure the subsequent wrinkle removal care effect on the fabric.

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

[0077] In another example, Figure 1 As shown, the fabric treatment drum 110 is a drum structure, 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 is located at the upper position of the door body 130. It should be noted that the upper position of the door body 130 is used to represent the upper area along the height direction of the fabric treatment device 100, that is, the scanner can monitor the rolling state of the fabric below it in real time during the rolling process, and scan the fabric surface during the rolling process to obtain the characteristic parameters of the fabric surface, wherein the characteristic parameters at least include the shape of the clothing surface.

[0078] The fabric processing device 100 is also provided with an intelligent sensor (not shown in the figure) that can obtain or detect the fabric material. The intelligent sensor may include but is not limited to sensors related to electrical conductivity, thermal conductivity or sound wave reflection, and the above intelligent sensor can help the fabric processing device to autonomously identify the fabric material.

[0079] Alternatively, the fabric material can be analyzed and inferred through water absorption or spectral technology. For example, during the washing, rinsing, dehydration or drying process, the total water absorption of the fabric can be calculated by comparing the dry weight of the fabric before absorbing water with the wet weight after absorbing water, so as to determine the fabric material. The process of using spectral technology to determine the fabric material is as follows: the control system analyzes the spectrum reflected or absorbed by the fabric, which can accurately identify the composition and material of the fabric.

[0080] Of course, other methods for judging fabric material can also be used. For example, an image acquisition unit can be used to intelligently identify and judge fabric using image recognition technology and deep learning algorithms, thereby accurately determining the material of the fabric.

[0081] like Figure 2 As shown, an exemplary embodiment of the present invention provides a care control method for a fabric processing device, wherein the fabric processing device 100 is capable of running a care program to perform wrinkle removal care on the fabric in the fabric processing drum 110, and the care control method comprises the following steps:

[0082] Step S100: Acquire fabric property information and state information.

[0083] Step S200: Inputting the property information and state information of the fabric into a preset model to analyze the current state of the fabric and optimize the care procedure.

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

[0085] In step S100, the fabric attribute information and fabric status information are acquired by the image acquisition unit 120 disposed in the fabric treatment drum 110. The fabric attribute information at least includes the fabric type and the material type. According to the attribute information, it can be determined which type of fabric is to be cared for. The fabric status information at least includes the fabric humidity and the fabric flatness.

[0086] In step S200, the fabric type, material type, fabric moisture and / or fabric flatness and other related information obtained in the above steps are input into a preset model to effectively analyze the current state of the fabric, and optimize the subsequent care procedures for the fabric based on the analysis results.

[0087] In step S300, when the fabric humidity in the analysis result does not meet the preset humidification level in the preset model, or the fabric flatness does not meet the preset flatness state in the preset model, the fabric at this time is processed accordingly, such as continuing to humidify, or continuing to dry and shape, so that the humidity of the fabric after reprocessing meets the preset humidification level, or the fabric flatness after reprocessing meets the preset flatness state.

[0088] In this example, the surface condition of the fabric is detected, the fabric care effect is evaluated based on the analysis results and optimization suggestions output by the preset model, and the subsequent fabric care procedure is adjusted, thereby effectively improving the fabric care effect and the user experience of the fabric processing equipment.

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

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

[0091] In the drying and setting stage, the state information includes second state information characterizing the flatness of the fabric. The flatness of the fabric can be a state process determined by removing wrinkles from the surface of the fabric in the later stage of the drying and setting stage, and the surface of the fabric can be scanned multiple times by a scanner (image acquisition unit 120) to obtain the flatness of the fabric surface after each scan.

[0092] The process of obtaining the fabric property information and state information may occur before the target care stage; or, during the target care stage; or, after the target care stage. The target care stage is one of the fabrics in the steam humidification stage or the drying and setting stage.

[0093] That is to say, the target care stage can be the steam humidification stage; or, the target care stage is the drying and setting stage; or, the target care stage includes the steam humidification stage and the drying and setting stage, in which the steam humidification stage is run first, and then the drying and setting stage is performed.

[0094] In one example, when the acquisition of fabric attribute information and status information occurs before the target care stage, and the analysis results and optimization suggestions output by the preset model include recommended care modes and / or care parameters, the recommended care modes and / or care parameters output by the preset model are used to execute the target care stage.

[0095] Taking the steam humidification stage as an example of the target care stage, before executing the steam humidification stage, the control system of the fabric treatment cylinder obtains the attribute information and state information of the fabric, wherein the fabric attribute information and state information can be obtained by the image acquisition unit 120 disposed in the fabric treatment cylinder 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 state information pre-stored in the preset model. For example, the preset model pre-stores information related to the preset humidification degree of the fabric. After the fabric is humidified, the current state of the fabric after humidification is compared with the preset humidification degree. If the current state of the fabric meets the preset humidification degree, the target care stage at this time can be ended.

[0096] When the current state of the fabric does not meet the preset humidification level, the control system gives an analysis result based on the above comparison, such as which stage of the humidification process the current state of the fabric after humidification is in, and gives corresponding optimization suggestions, that is, the steam temperature, steam flow and fan speed for subsequent humidification of the fabric, so that the current state of the fabric after subsequent humidification can meet the preset humidification level.

[0097] Similar to the above-mentioned target care stage being the steam humidification stage, when the target care stage is the drying and shaping stage, before executing the drying and shaping stage, after the control system of the fabric processing drum obtains the attribute information and state information of the fabric, the attribute information and state information of the fabric can be obtained by the image acquisition unit 120 disposed in the fabric processing drum 110, thereby determining the current state of the fabric. Then, the current state of the fabric at this time is compared with the state information pre-stored in the preset model. For example, the preset model pre-stores information related to the preset flatness of the fabric surface. In the process of drying and shaping 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 above comparison, such as which stage of the drying and setting process the current state of the fabric is in, and gives corresponding optimization suggestions, that is, the steam temperature, steam flow and fan speed for subsequent drying of the fabric, so that the current state of the fabric after subsequent drying and setting can meet the preset flatness.

[0099] When the target care stage includes a steam humidification stage and a drying and setting stage, the steam humidification stage is performed first and then the drying and setting stage. The operation process of this target care stage can be referred to the above example and will not be repeated here.

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

[0101] Data collection: During the entire process of the target care stage, a large amount of state information of fabrics with different attribute information (such as cotton, linen, silk, wool, etc.) at different time points is collected; the care parameters in each target care stage, such as steam temperature, steam flow, fan speed, and the final care effect are recorded. The final care result can be given manually or automatically calculated based on the comparison between the actual clothing state and the ideal clothing state after the target care stage. By ensuring the diversity and representativeness of the data, the model can be generalized to data that has never been seen before.

[0102] Data processing: Extract features from the collected data that help the model make accurate predictions. These features may include fabric attribute information (fabric type and / or material type), status information at different time nodes (fabric moisture, flatness, etc.), care parameters (steam temperature, steam flow, and fan speed), care mode (each piece of historical data corresponds to one of the preset multiple care modes), and care effects at different time nodes (for example, divided into excellent, good, poor, etc.) and the final care effect.

[0103] Arrange the parameters in the nursing process in chronological order to form a data set in time series format. The input of each time point should contain historical information of the current moment and several previous time steps.

[0104] Generate labels for each time series sample based on the care outcome, such as a care effectiveness score.

[0105] Model training: A training set and a validation set are formed based on the processed data, and the existing training process is used to train the state prediction model.

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

[0107] Based on the output results of the above-mentioned state prediction model, business logic design can be performed to obtain the preset model provided in the embodiment of the present application.

[0108] For example, before the target care stage, the first time required to achieve an "excellent" effect is obtained according to the state prediction model; the preset model compares the first time with the 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, which means that the current clothing state is relatively good, and the preset model can obtain an analysis result that no care is required. On the contrary, if the third time required to achieve a "poor" effect is greater than the second time threshold, it means that a long time is needed to achieve a "poor" effect and a longer time is needed to achieve an "excellent" effect, which means that the current clothing state is relatively poor, and the preset model can obtain an analysis result that requires care.

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

[0110] If human intervention is required, the preset model can output optimization suggestions to the user (for example, screen presentation), and the user can select the care mode and / or care parameters to be executed based on the desired care effect, and the fabric processing device can then execute the care mode and / or care parameters selected by the user.

[0111] If human intervention is not required, the preset model can directly determine the care mode and / or care parameters according to the preset rules, and then the fabric processing device executes the care mode and / or care parameters. For example, taking the preset rules as meeting user preferences as an example, if the user prefers the best care effect, the preset model directly outputs the care mode and / or care parameters corresponding to the "excellent" level for subsequent care procedures; if the user prefers less time, the preset model directly outputs the care mode and / or care parameters corresponding to the "poor" level for subsequent care procedures; if the user prefers to take into account both care effect and time, the preset model directly outputs the care mode and / or care parameters corresponding to the "good" level for subsequent care procedures.

[0112] For another example, in the target care stage, the preset model can obtain the real-time nursing effect corresponding to the current state based on the state prediction model, that is, the nursing effect evaluation of the current state, and if the nursing effect evaluation does not reach the target state, provide optimization suggestions for achieving the target state in the subsequent care stage.

[0113] The target state can be a set value, for example, an "excellent" nursing effect. It can also be, for example, the nursing effect that the user expects to achieve when intervening in the previous text, that is, if the user initially expects the overall nursing effect to be excellent, then during the actual execution, if the real-time evaluation corresponding to the detected real-time nursing effect is not excellent, then the target state has not been achieved.

[0114] Among them, providing optimization suggestions for the subsequent care stage includes: predicting the care parameters and / or care modes that need to be executed in the current state to obtain the target state based on the state prediction model. The preset model can output the care parameters and / or care modes that need to be executed to the user for confirmation, or directly output them 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 procedure. The preset model can obtain the real-time care effect corresponding to the current state based on the state prediction model, that is, the final care effect evaluation. And when the final care effect evaluation does not reach the target state, a second care suggestion is given, and for the second care suggestion, a recommended care mode and / or care parameters are given. For example, the state prediction model predicts the care mode and / or care parameters required to achieve the target care effect based on the current state of the fabric as input. There is a relevant description in the previous text, which will not be repeated here.

[0116] For another example, after the target nursing stage, and when the target nursing stage is not the last nursing stage of the nursing procedure, the preset model can obtain the real-time nursing effect corresponding to the current state based on the state prediction model, that is, the nursing effect evaluation. For the nursing effect that does not reach the target state, it is recommended to repeat the target nursing stage or continue the subsequent nursing stage; for the recommendation to continue the subsequent nursing stage, the recommended nursing mode and / or nursing parameters for the subsequent nursing stage are also given.

[0117] Among them, when the target state is not reached, the time required to achieve the target effect can be predicted. If the time is greater than the time threshold (i.e., a longer time is required), it can be suggested to repeat the target care stage. If the time is not greater than the time threshold (i.e., a shorter time is required), the subsequent care stage can be continued. In the case of continuing the subsequent care stage, the care mode and / or care parameters required to achieve 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 characterizing the humidity of the fabric, and in the drying and shaping stage, the state information includes second state information characterizing the flatness of the fabric. The mass-spring model can be used to simulate the stretching, compression, bending and other behaviors of the fabric. It should be understood by those skilled in the art 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 understand the deformation of the fabric during the care process, which may indirectly reflect the surface characteristics of the fabric.

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

[0120] Determine the preset humidification degree of the fabric in the fabric treatment drum during the steam humidification stage. And determine the preset flatness of the fabric in the fabric treatment drum during the drying and setting stage.

[0121] The process of determining the preset humidification degree may adopt the following method:

[0122] First, the material information of the fabric is determined. The material information of the fabric can be detected by an intelligent sensor provided in the fabric processing device 100, or the image acquisition unit 120 can use image recognition technology and deep learning algorithms to intelligently identify and judge the fabric to accurately determine the material of the fabric.

[0123] Then, during the humidification training of the fabric, the fabric treatment drum 110 is controlled to rotate at a first set operating speed, and the humidification effect images of the fabric after each humidification are obtained multiple times in a row at a first set time rhythm through the image acquisition unit 120.

[0124] Among them, the first set operating speed can be flexibly set according to the capacity of the fabric treatment drum 110, and the value range of the first set operating speed can be between 35rpm and 60rpm. It should be noted that when the first set operating speed is too fast, such as exceeding 60rpm, 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 on the fabric. When the first set operating speed is too slow, such as lower than 35rpm, the fabric flipping effect in the fabric treatment drum 110 is poor, 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 has not been humidified, thereby affecting the overall operation of the steam humidification stage.

[0125] The preferred value range of the first set operating 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, and is not specifically limited here. The first set time rhythm can be a frequency of sweeping the fabric 10 times in 1 second.

[0127] Finally, according to the multiple humidification effect images and material information of the fabric, a first training model for the fabric of the material type is determined, wherein the first training model includes a preset humidification degree for characterizing the humidity of the fabric. In other words, the first training model includes a stable state and a fixed state of the fabric humidification degree. Figure 4 As shown, the stable state is 3 moments t / s in the first training model, and the fixed state is 6 moments t / s in the first training model.

[0128] In one example, the first training model may be determined by:

[0129] Under the illumination condition of the fabric treatment drum 110 itself, multiple images of humidification effect diagrams of the fabric to be cared for in motion are obtained, and characteristic parameters of the fabric in each humidification effect diagram are extracted, wherein the characteristic parameters are used to characterize the shape of the fabric surface.

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

[0131] It should be noted that the image vectorization grid segmentation of the humidification effect map is to divide the image into several specific areas with unique properties and propose the technology and process of the target of interest. It is a key step from image processing to image analysis. Among them, the image vectorization grid segmentation is mainly divided into the following cases: threshold-based segmentation method, region-based segmentation method, edge-based segmentation method and segmentation method based on specific theory. Among them, image vectorization grid segmentation is the process of dividing a digital image into non-intersecting areas, and it is also a labeling process, that is, giving the same label to pixels belonging to the same area.

[0132] Finally, numerical integration is used to solve the humidification effect diagram after processing, and each area of ​​concern on the fabric surface is marked with particles. The position of each particle is calculated by the modeling formula. The modeling formula can be based on the particle-spring model, that is, based on the particle-spring model, set target shape and material information for modeling, thereby determining the first training model.

[0133] The mass spring model is a fabric simulation model based on dynamics. The operation of the fabric based on this model is the movement process of all the masses under various different effects. The movement process of the mass point is obtained by solving the differential variance of the mass point according to Newton's mechanics theorem.

[0134] Among them, particle calculation can be used to perform fast and realistic dynamic simulation of the fabric, simulate the possible dynamic effects of each particle under the interaction of various forces, and then determine the state of fabric humidification or fabric surface flatness through the dynamic effects.

[0135] The training method of the first training model is mainly to regard the fabric as a grid system composed of mass points and springs connecting the mass points. These grid systems constitute the shape of the fabric. Each mass point has three-dimensional coordinates, direction and velocity attributes. The relationship between each mass point is mainly transmitted through massless springs and connected with adjacent mass points, thereby realistically simulating the dynamic simulation effects of fabrics of different materials.

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

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

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

[0139]

[0140] Calculate the position of the particle, where the calculation process of the position of the particle is:

[0141]

[0142] Update the particle state.

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

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

[0145] The following method can be used to determine the preset flatness of the fabric in the fabric treatment drum during the drying and shaping stage:

[0146] First, the material information of the fabric is determined. The material information of the fabric can be detected by an intelligent sensor provided in the fabric processing device 100, or the image acquisition unit 120 can use image recognition technology and deep learning algorithms to intelligently identify and judge the fabric to accurately determine the material of the fabric.

[0147] Then, during the dehumidification and wrinkle removal training process of the fabric, the fabric treatment drum 110 is controlled to rotate at a second set operating speed, and the image acquisition unit 120 is used to obtain the smoothness effect image of the fabric after dehumidification for multiple consecutive times and each time at a second set time rhythm.

[0148] The second set running speed can be flexibly set according to the capacity of the fabric processing drum 110, and the value range of the second set running speed can be between 35rpm and 60rpm. It should be noted that when the second set running speed is too slow or too fast, such as less than 35rpm or more than 60rpm, the turning speed of the fabric is too slow or too fast, which can easily lead to inconsistent drying effects at various positions of the clothes, and thus easily lead to some positions of the fabric not being dried, while the remaining positions are dried.

[0149] The preferred value range of the second set operating 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, and is not specifically limited here. The second set time rhythm can be a frequency of sweeping the fabric 10 times in 1 second.

[0151] Finally, according to the multiple flatness effect images and material information of the fabric, a second training model for the fabric of the material type is determined, wherein the second training model includes the dry state and the flat state of the fabric surface used to characterize the fabric in the drying and shaping stage. In other words, the second training model includes the dry state and the flat state of the fabric surface flatness, referring to Figure 4 As shown, the dry state is 9 moments t / s in the second training model, and the flat state is 12 moments t / s in the second training model.

[0152] In one example, the second training model may be determined by:

[0153] Under the illumination condition of the fabric treatment drum 110 itself, multiple images of the smoothness effect graphs of the fabric to be cared for during the movement are obtained, and effective fabric surface information of the fabric surface in each smoothness effect graph is extracted.

[0154] The smoothness effect map of the fabric is subjected to image vectorization grid segmentation each time. According to the different characteristics of the image in each area, the target shape set based on the feature parameters is extracted inside or at the boundary of the segmentation position in the smoothness effect map, and the humidification effect map is smoothed to remove image noise.

[0155] Finally, numerical integration is used to solve the humidification effect diagram after processing, and each area of ​​concern on the fabric surface is marked with particles. The position of each particle is calculated by the modeling formula, wherein the modeling formula can be based on the particle spring model, that is, based on the particle spring magic core, set target shape and material information for modeling, thereby determining the second training model.

[0156] In another example, when obtaining fabric attribute information and status information occurs during the target care stage, the analysis results and optimization suggestions output by the preset model include: evaluation of care effects; and providing subsequent care stage optimization suggestions for achieving the target care effects.

[0157] When the target care stage includes a steam humidification stage, the fabric is steam humidified by a steam generator or the like. In the process of steam humidifying the fabric, the surface texture state of the fabric changes as the steam is absorbed. 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 scan.

[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 of the fabric surface after each scan.

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

[0160] When the target care stage is the steam humidification stage, after the humidification state of the fabric is obtained, the humidification state is compared with the preset humidification degree pre-stored in the control system to give a care effect evaluation, that is, the comparison between the humidification state and the preset humidification degree. Then, it is determined whether the target care stage is ended according to the comparison result.

[0161] The preset humidification degree pre-stored in the control system includes the stable state and fixed state of the fabric during the steam humidification process, that is, with the humidification of steam, the morphology of the surface texture of the fabric is in a stable state or in a fixed state. At this time, the steam humidification effect of the fabric has reached an ideal state, and the surface texture of the fabric will not change with the continuous input of steam.

[0162] When the first state information meets the preset humidification degree, it indicates that the humidification effect of the fabric has reached the set optimal clothing state, that is, the target care stage can be ended at this time, and the control system can control the fabric processing device 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 care effect of the target state is not achieved, and the steam humidification effect of the fabric in the steam humidification stage is not in a stable or fixed state, it means that the humidification effect of the fabric is not enough and the fabric needs to be further humidified, that is, optimization suggestions for the subsequent care stage are provided. The fabric can be humidified using the set humidification rhythm 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 setting stage, after the fabric flatness is obtained by the scanner, the flatness is compared with the preset flatness pre-stored in the control system to give a care effect evaluation, that is, the comparison between the flatness and the preset flatness. Then, it is determined whether the target care stage is over according to the comparison result.

[0165] The preset flatness pre-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 fabric surface information about the fabric surface in the scanned image is extracted by the control system, and then the actual care state of the fabric is judged according to the extracted target shape of interest.

[0166] When the second state information meets the preset flatness, it indicates that the surface of the clothes has been flattened and the clothes have reached a dry state, and no further heating and drying is required. At this time, while the control system controls the fabric processing device 100 to stop running the target care program, it controls the fabric processing device 100 to start the cold air mode, so as to use the fan provided in the fabric processing device 100 to blow cold air directly to the fabric, so as to prevent the fabric from generating new wrinkles due to over-drying, thereby affecting the care effect of the clothes.

[0167] When the preset running time of the drying and setting stage is over, if the flatness of the fabric has not reached the dry state, that is, the care effect of the target state has not been achieved, the optimization suggestion for the subsequent care stage provided at this time is: turn on the humidification mode of the fabric processing device 100, 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, so as to effectively improve the steam humidification effect of the fabric and the subsequent setting and wrinkle removal effect.

[0168] In another example, when the attribute information and status 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 procedure, the analysis structure and optimization suggestions output by the preset model include: evaluation of care effects; giving re-care suggestions for care effects that have not reached the target state; and for the re-care suggestions, giving recommended care modes and / or care parameters.

[0169] When the target care stage only includes the steam humidification stage, the process of evaluating the care effect and providing re-care suggestions for the care effect that has not reached the target state can be seen in the above example and will not be repeated here.

[0170] Among them, when the first state information fails to meet the preset humidification level, that is, the care effect of the target state is not achieved, and the steam humidification effect of the fabric in the steam humidification stage is not in a stable or fixed state, it means that the humidification effect of the fabric is not enough, and the fabric needs to be further humidified, that is, to provide optimization suggestions for the subsequent care stage. 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.

[0171] When the target care stage only includes the drying and setting stage, the process of evaluating the care effect and giving re-care suggestions for the care effect that has not reached the target state can be seen in the above example and will not be repeated here.

[0172] Among them, when the preset running time of the drying and setting stage is over, when the flatness of the fabric has not reached the dry state, that is, the care effect of the target state has not been achieved, the optimization suggestion for the subsequent care stage provided at this time is: turn on the humidification mode of the fabric processing device 100, 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 one example, when the property information and status information of the fabric are obtained and sent after the target care stage, and the target care stage is not the last care stage of the care procedure, the analysis structure and optimization suggestions output by the preset model include: evaluation of care effect; giving suggestions on whether to re-perform the target care stage or continue with the subsequent care stage for the care effect that has not reached the target state; and for continuing with the subsequent care stage, the recommended care mode and / or care parameters for the subsequent care stage are also given.

[0174] When the target care stage includes the steam humidification stage and the drying and setting stage, first determine whether the first state information of the fabric meets the preset humidification degree. When the first state information meets the preset humidification degree, it indicates that the humidification effect of the fabric has reached the set optimal clothing state, and the operation of the steam humidification stage is stopped. When the first state information does not meet the preset humidification degree, it indicates that the humidification effect of the fabric is insufficient, 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 meets the preset humidification degree.

[0175] After the steam humidification stage stops running, the clothes begin to be dried and dehumidified, that is, after a preset time, the drying and setting stage begins to run.

[0176] The preset time can be determined based on the rate of increase of the surface temperature of the fabric in the early stage. The reason is that after the fabric is humidified with steam, the fabric is dried by the drying module. In the early stage of the drying process, due to the large amount of bound water in the fabric and free water on the surface, the rate of increase of the surface temperature of the fabric is relatively slow. As the drying process continues, after the free water on the surface of the fabric evaporates due to drying, the rate of increase of the surface temperature of the fabric will increase significantly. That is, the preset time can be set as the time required for the turning point from slow to large increase of the surface temperature of the fabric.

[0177] During the drying and setting stage, the flatness of the fabric is acquired in real time through a scanner, and then, when the flatness meets the preset flatness, the target care stage is ended, and a cooling operation is performed on the fabric. The cooling operation may be to control the fabric processing device 100 to turn on the cold air mode, so as to use the fan provided in the fabric processing device 100 to blow cold air directly on the fabric, so as to prevent the fabric from generating new wrinkles due to over-drying, thereby affecting the care effect of the clothes.

[0178] It should be noted that after the preset running time of the drying and setting stage has ended, if the flatness of the fabric has not reached a dry state, the humidification mode of the fabric processing device 100 is turned on, 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.

[0179] In this example, the state information of the fabric surface can be used to determine the humidification effect of the fabric during the steam humidification stage to ensure the wrinkle removal and care effect of the fabric in the subsequent drying process. In addition, the state of the fabric flatness during the drying and setting stage can be determined, thereby accurately improving the wrinkle removal and care effect of the fabric, thereby improving the user experience of using the fabric processing equipment.

[0180] An exemplary embodiment of the present invention provides an electronic device, which includes 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. The computer executable instructions can be called by the processor to execute the care control method of the fabric processing device in the above embodiment.

[0181] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the fabric processing device, and uses various interfaces and lines to connect various parts of the entire fabric processing device.

[0182] An exemplary embodiment of the present invention provides a fabric processing device, which is controlled by the care control method for fabric processing devices of any of the above embodiments, or has an electronic device as described 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 the 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 results and optimization suggestions 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 results and optimization suggestions 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] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0185] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A care control method for a fabric processing device, wherein the fabric processing device is capable of performing a care procedure on fabrics, characterized in that: The nursing control method comprises: Acquiring property information and state information of the fabric; Inputting the property information and state information of the fabric into a preset model to analyze the current state of the fabric and optimize the care procedure; The nursing procedure is controlled according to the analysis results and optimization suggestions output by the preset model.

2. The care control method of fabric processing equipment according to claim 1, characterized in that: The attribute information includes fabric type and material type; The care program includes at least one of a steam humidification phase and / or a drying and setting phase; Wherein, in the steam humidification stage, the state information includes first state information characterizing fabric humidity, and in the drying and setting stage, the state information includes second state information characterizing fabric flatness.

3. The care control method for fabric processing equipment according to claim 2, characterized in that: The obtaining of the property information and the state information of the fabric occurs before the target care stage and / or during the target care stage and / or after the target care stage; Wherein, the target care stage is at least one of the steam humidification stage or the drying and setting stage.

4. The care control method for fabric processing equipment according to claim 3, characterized in that: The acquisition of the fabric's attribute information and state information occurs before the target care stage, and the analysis results and optimization suggestions output by the preset model include: Whether nursing care is required; recommended modes of care and / or parameters of care when care is required; The controlling of the nursing procedure according to the analysis results and optimization suggestions output by the preset model includes: The target nursing stage is executed using the recommended nursing mode and / or nursing parameters output by the preset model.

5. The care control method for fabric processing equipment according to claim 3, characterized in that: The acquisition of the fabric's attribute information and state information occurs in the target care stage, and the analysis results and optimization suggestions output by the preset model include: Nursing effectiveness evaluation; Provide optimization suggestions for the subsequent care stage for care effects that have not reached the target state.

6. The care control method for fabric processing equipment according to claim 3, characterized in that: The acquisition of the fabric attribute information and state information occurs after the target care stage, and the target care stage is the last care stage of the care procedure. The analysis results and optimization suggestions output by the preset model include: Nursing effectiveness evaluation; Provide re-nursing suggestions for nursing results that have not reached the target status; For second care recommendations, recommended care modes and / or care parameters are given.

7. The care control method for fabric processing equipment according to claim 3, characterized in that: The acquisition of the fabric's attribute information and state information occurs after the target care stage, and the target care stage is not the last care stage of the care procedure. The analysis results and optimization suggestions output by the preset model include: Nursing effectiveness evaluation; For nursing results that have not reached the target state, suggestions are given on whether to repeat the target nursing stage or continue with the subsequent nursing stage; For the recommendation of continuing the follow-up care stage, the recommended care mode and / or care parameters of the follow-up care stage are also given.

8. The care control method for a fabric processing device according to any one of claims 4 to 7, characterized in that: The nursing mode includes executing the target nursing stage according to preset rules; The care parameters include steam temperature, steam flow and fan speed.

9. The nursing control method for a fabric processing device according to any one of claims 5 to 7, characterized in that: The step of controlling the nursing procedure according to the analysis results and optimization suggestions output by the preset model includes: The optimization suggestion is output to the user, and according to the user's selection of the optimization suggestion, a nursing procedure corresponding to the optimization suggestion selected by the user is executed.

10. An electronic device, characterized in that: The electronic device comprises: a memory for storing one or more computer executable instructions; A processor is used to call and execute the computer executable instructions in the memory, so as to implement the care control method of the fabric processing device as described in any one of claims 1 to 9.

11. A fabric processing device, characterized in that: The care control method for fabric processing equipment according to any one of claims 1 to 9 is used for control, or the electronic device according to claim 10 is provided.

Citation Information

Patent Citations

  • Clothes drying device clothes recognizing method and clothes drying device

    CN110016795A

  • Control method of clothes nursing equipment and clothes nursing equipment

    CN112359569A

  • Control method and device for clothes drying, drying equipment and storage medium

    CN118727412A

  • Clothing care control method and device, equipment and storage medium

    CN118792865A

  • Method and device for providing an optimization recommendation for a care process in a care device

    DE102018108775A1