Clothes processing equipment control method, device and equipment and computer storage medium

Abstract

The invention belongs to the technical field of electric appliances, and particularly relates to a clothes processing equipment control method, device and equipment and a computer storage medium, clothes information of to-be-processed clothes is obtained, the clothes information is input into a clothes processing parameter analysis model, and a clothes processing parameter range output by the clothes processing parameter analysis model is obtained; the clothes processing parameter analysis model is obtained by training according to historical clothes information in historical data, and determining a target clothes processing parameter according to the clothes processing parameter range and the priority of each clothes processing parameter in the clothes processing parameter range, performing clothes treatment on the clothes to be treated according to the target clothes treatment parameters; according to the method, the intelligent degree and the clothes treatment effect of the clothes treatment equipment are improved.

Description

Technical Field

[0001] The present application belongs to the field of electrical appliance technology, and specifically relates to a method, device, equipment and computer storage medium for controlling a clothing processing device. Background Art

[0002] With the continuous improvement of production technology and the continuous growth of user needs, users have higher and higher requirements for clothing processing equipment, and pay more and more attention to the effect of clothing processing equipment on clothing.

[0003] In the prior art, first, the user puts the clothes to be processed into the inner drum of the clothes processing device, and the user adjusts the clothes processing parameters according to his or her own needs. The corresponding clothes processing parameters have many adjustable gears, that is, the user can choose according to his or her own needs from several clothes processing parameters that have been set on the clothes processing device, so that the clothes processing device processes the clothes to be processed according to the selected clothes processing parameters.

[0004] However, different clothing information of the clothes to be processed will result in different ranges of clothing processing parameters suitable for the clothes to be processed. The selection space of clothing processing parameters in the prior art is relatively large, so there are problems such as unreasonable setting of clothing processing parameters corresponding to clothing information, low intelligence level of clothing processing equipment and poor washing effect. Summary of the invention

[0005] The present application provides a method, device, equipment and computer storage medium for controlling a clothing processing device, which are used to solve the problems of unreasonable clothing processing parameter settings corresponding to clothing information, low intelligence level of clothing processing equipment and poor washing effect.

[0006] In a first aspect, the present application provides a method for controlling a laundry processing device, comprising:

[0007] Acquire clothing information of clothing to be processed;

[0008] Inputting the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data;

[0009] determining a target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range;

[0010] The laundry to be processed is subjected to laundry treatment according to the target laundry treatment parameter.

[0011] Optionally, determining the target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range includes:

[0012] determining whether a candidate laundry processing parameter selected by the user from a plurality of laundry processing parameters is obtained within a preset time period;

[0013] If yes, updating the priority of the candidate laundry processing parameter to a first priority, and using the candidate laundry processing parameter as the target laundry processing parameter, wherein the first priority is higher than other priorities;

[0014] If not, the priority of each laundry processing parameter within the laundry processing parameter range is obtained, and the laundry processing parameter with the highest priority is used as the target laundry processing parameter.

[0015] Optionally, before obtaining the clothing information of the clothing to be processed, the method further includes:

[0016] Acquire first historical clothing information of a plurality of first historical clothing items to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing items to be processed, the clothing states comprising: a first clothing state where clothing processing has not been performed and a second clothing state where clothing processing has been performed;

[0017] determining a laundry processing completion degree of each first historical laundry to be processed according to the first laundry state and the second laundry state;

[0018] When the degree of completion of the laundry processing reaches a preset degree of completion, determining first historical laundry information of first historical laundry to be processed corresponding to the degree of completion of the laundry processing and a corresponding first historical laundry processing parameter as a laundry processing parameter training sample;

[0019] The data analysis model is trained according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

[0020] Optionally, inputting the clothing information into a clothing treatment parameter analysis model to obtain a clothing treatment parameter range output by the clothing treatment parameter analysis model includes:

[0021] pre-processing the clothing information according to the clothing processing parameter analysis model to obtain target clothing information;

[0022] Analyzing the target clothing information according to the clothing processing parameter analysis model to obtain target features of the target clothing information;

[0023] A laundry processing parameter range of the laundry processing device is determined according to the target feature.

[0024] Optionally, after performing clothing treatment on the clothing to be treated according to the target clothing treatment parameters, the method further includes:

[0025] When the clothes to be processed are in the first processing stage, reacquiring the clothes information of the clothes to be processed to obtain new clothes information;

[0026] determining a new clothing treatment parameter range according to the new clothing information and the clothing treatment parameter analysis model;

[0027] determining a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range;

[0028] The laundry to be processed is re-processed according to the new target laundry processing parameters.

[0029] In a second aspect, the present application provides a control device for a laundry processing device, comprising:

[0030] An acquisition module, used for acquiring clothing information of clothing to be processed;

[0031] a processing module, configured to input the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data;

[0032] a determination module, configured to determine a target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range;

[0033] The processing module is used to perform clothing processing on the clothing to be processed according to the target clothing processing parameters.

[0034] Optionally, the clothing processing device further includes: a judgment module;

[0035] The determination module is used to determine whether the candidate laundry processing parameter selected by the user from the plurality of laundry processing parameters is obtained within a preset time period;

[0036] The determination module is specifically configured to update the priority of the candidate laundry processing parameter to a first priority when a candidate laundry processing parameter selected by the user from a plurality of laundry processing parameters is obtained within a preset time period, and use the candidate laundry processing parameter as the target laundry processing parameter, wherein the first priority is higher than other priorities;

[0037] The determination module is specifically used to obtain the priority of each clothing processing parameter within the clothing processing parameter range when the candidate clothing processing parameter selected by the user from multiple clothing processing parameters is not obtained within a preset time period, and to use the clothing processing parameter with the highest priority as the target clothing processing parameter.

[0038] Optionally, the acquisition module is further used to acquire first historical clothing information of a plurality of first historical clothing to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing to be processed, and the clothing states include: a first clothing state in which clothing processing has not been performed and a second clothing state in which clothing processing has been performed;

[0039] The determining module is further used to determine the laundry processing completion degree of each first historical laundry to be processed according to the first laundry state and the second laundry state;

[0040] The determination module is further configured to determine, when the degree of completion of the laundry processing reaches a preset degree of completion, first historical laundry information of first historical laundry to be processed corresponding to the degree of completion of the laundry processing and a corresponding first historical laundry processing parameter as a laundry processing parameter training sample;

[0041] The processing module is further used to train the data analysis model according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

[0042] Optionally, the processing module is used to pre-process the clothing information according to the clothing processing parameter analysis model to obtain target clothing information;

[0043] The processing module is used to analyze the target clothing information according to the clothing processing parameter analysis model to obtain the target features of the target clothing information;

[0044] The determination module is specifically configured to determine a range of clothing treatment parameters of the clothing treatment device according to the target feature.

[0045] Optionally, the acquisition module is further used to reacquire clothing information of the clothing to be processed when the clothing to be processed is in the first processing stage to obtain new clothing information;

[0046] The determination module is further used to determine a new clothing treatment parameter range according to the new clothing information and the clothing treatment parameter analysis model;

[0047] The determination module is further configured to determine a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range;

[0048] The processing module is further used to re-process the clothes to be processed according to the new target clothes processing parameters.

[0049] In a third aspect, the present application provides a laundry processing device control device, comprising:

[0050] Memory;

[0051] processor;

[0052] Wherein, the memory stores computer-executable instructions;

[0053] The processor executes the computer-executable instructions stored in the memory to implement the clothing processing device control method as described in the first aspect and various possible implementations of the first aspect.

[0054] In a fourth aspect, the present application provides a computer storage medium, characterized in that the computer storage medium stores computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the clothing processing equipment control method as described in the first aspect and various possible implementations of the first aspect.

[0055] The clothing processing equipment control method provided by the present application obtains clothing information of clothing to be processed, inputs the clothing information into a clothing processing parameter analysis model, obtains a clothing processing parameter range output by the clothing processing parameter analysis model, the clothing processing parameter analysis model is trained based on historical clothing information in historical data, determines target clothing processing parameters based on the clothing processing parameter range and the priority of each clothing processing parameter within the clothing processing parameter range, and performs clothing processing on the clothing to be processed based on the target clothing processing parameters; this method improves the intelligence level of the clothing processing equipment and the clothing processing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0057] Figure 1 This is the process of the clothing processing equipment control method provided by this application Figure 1 ;

[0058] Figure 2 This is the process of the clothing processing equipment control method provided by this application Figure 2 ;

[0059] Figure 3 This is the process of the clothing processing equipment control method provided by this application Figure 3 ;

[0060] Figure 4 is a structural schematic diagram of a control device for a clothing processing device provided in the present application;

[0061] Figure 5 It is a structural schematic diagram of the clothing processing equipment control device provided in this application.

[0062] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein, for example.

[0065] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0066] With the continuous improvement of production technology and the continuous growth of user needs, users have higher and higher requirements for clothing processing equipment, and pay more and more attention to the effect of clothing processing equipment on clothing.

[0067] In the prior art, first, the user puts the clothes to be processed into the inner drum of the clothes processing device, and the user adjusts the clothes processing parameters according to his or her own needs. The corresponding clothes processing parameters have many adjustable gears, that is, the user can choose according to his or her own needs from several clothes processing parameters that have been set on the clothes processing device, so that the clothes processing device processes the clothes to be processed according to the selected clothes processing parameters.

[0068] However, different clothing information of the clothes to be processed will result in different ranges of clothing treatment parameters suitable for the clothes to be processed. If the clothing treatment parameters are too large, the clothes will be wrinkled and damaged, and if the clothing treatment parameters are too small, the clothes will not achieve the clothing treatment effect. The selection space of clothing treatment parameters in the prior art is large, which easily leads to the situation where the clothing treatment parameters are set too large or too small. Therefore, there will be problems such as unreasonable setting of clothing treatment parameters corresponding to clothing information, low intelligence of clothing treatment equipment and poor washing effect.

[0069] The clothing processing equipment control method provided in the present application trains a clothing processing parameter analysis model through historical clothing information and corresponding historical clothing processing parameters, inputs clothing information of the clothing to be processed into the clothing processing parameter analysis model, determines the clothing processing parameter range, determines the clothing processing parameters according to the priority of each clothing processing parameter in the clothing processing parameter range, and processes the clothing to be processed according to the clothing processing parameters; this method improves the intelligence level of the clothing processing equipment and the clothing processing effect.

[0070] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0071] Figure 1 This is the process of the clothing processing equipment control method provided by this application Figure 1 .like Figure 1 As shown, the laundry processing device control method provided in this embodiment includes:

[0072] S101: Acquire clothing information of clothing to be processed.

[0073] The clothing information may include: clothing weight, clothing type, clothing material, clothing dirtiness, and detergent concentration.

[0074] At present, there are multiple programs set on the clothing processing equipment, each program corresponds to multiple gears, and users generally select corresponding clothing processing parameters based on their existing experience and their own understanding of clothing. The executor of this method is the user, and each user has different understanding of clothing and existing experience. Therefore, for the same clothing, different users may select different clothing processing parameters, resulting in completely different processing effects of the processed clothing. The processed clothing may have many wrinkles, the clothing may be dirty and not cleaned, and may even cause different degrees of damage to the processed clothing.

[0075] It can be understood that this step can limit the range of selectable clothing processing parameters according to the clothing information by obtaining clothing information, so that users can quickly master the use of clothing processing equipment and the processed clothes can meet the needs of most users.

[0076] This step obtains accurate clothing information in an intelligent way. The weight of the clothing is collected by installing a weighing sensor, such as an electronic scale or a load sensor, in the clothing processing device to accurately measure the weight of the clothing. When the user puts the clothing into the clothing processing device, the sensor will record the weight of the clothing.

[0077] The type and material of clothing can be collected by using image recognition technology, through a camera or similar device inside the clothing processing device, to collect images of clothing, and then identify the type and material of clothing through image processing algorithms and pattern recognition technology. For example, the type and material of clothing can be determined based on features such as labels, textures, colors, and shapes.

[0078] The degree of dirtiness of clothing can be collected in the following ways: the sensor can determine the degree of dirtiness of clothing by detecting the color and turbidity in the water or detecting stains on the surface of clothing. This can be achieved by using chromatographic sensors, turbidity sensors or image recognition technology. The degree of dirtiness of clothing can be divided into several levels, such as: slight, moderate and severe.

[0079] The detergent concentration can be collected by installing a detergent detection device in the washing machine, which can measure the concentration of the detergent in the washing water, and using a chemical sensor or an optical sensor to measure the detergent concentration.

[0080] For example, after the clothes to be processed are put into the clothes processing device, the clothes information obtained may be: clothes weight: 1 kg; clothes type: sweater; clothes material: wool; clothes dirtiness: slight; detergent concentration: 15%.

[0081] S102: Inputting the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data.

[0082] Among them, the clothing processing parameter analysis model is used to analyze the input clothing information to determine the clothing processing parameter range corresponding to the clothing information. The clothing processing parameters can be: washing time, washing temperature curve, dehydration speed, dehydration time and detergent dosage. The clothing processing parameter range is used to indicate that the clothing processing parameters can be selected, that is, after the clothing information is input into the clothing processing parameter analysis model, the selectable gears of washing time, washing temperature curve, dehydration speed, dehydration time and detergent dosage will be output.

[0083] For the laundry to be processed, the user can select the laundry processing parameters in the laundry processing parameter range adapted to the current laundry, so that the laundry to be processed can achieve a relatively good laundry processing effect and reduce the damage in the laundry processing process.

[0084] It can be understood that the clothing information is input into the clothing processing parameter analysis model, and the clothing processing parameter analysis model performs feature analysis on the clothing information and determines the clothing processing parameter range corresponding to the clothing information based on the correspondence between the existing clothing information and clothing processing parameters in the clothing processing parameter analysis model.

[0085] For example, the clothing information is clothing weight: 1kg; clothing type: sweater; clothing material: wool; clothing dirtiness: slight; detergent concentration: 15%. The corresponding clothing processing parameters are washing time: 10min-15min; washing temperature curve: all curves between 20℃-30℃; dehydration speed: 800 rpm-1000 rpm; dehydration time: 5min-10min; detergent dosage: 10ml-15ml.

[0086] S103: determining a target laundry treatment parameter according to the laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range.

[0087] The priority of the clothing treatment parameters can be set by the user, obtained through analysis by the clothing treatment parameter analysis model, or sorted by default by the clothing treatment device. The target clothing treatment parameters are used to indicate the final washing time, washing temperature curve, dehydration speed, dehydration time, detergent dosage, etc. for the clothes to be treated.

[0088] It can be understood that by inputting the clothing information of the clothing to be processed into the clothing processing parameter analysis model, the clothing processing parameter range can be output. At this time, only the clothing processing parameters within the clothing processing parameter range will be displayed on the clothing processing device, or the user can only perform operations on the buttons on the clothing processing device that are within the clothing processing parameter range.

[0089] For example: when the clothing processing parameters determined by the clothing processing parameter analysis model are washing time: 10min-15min; washing temperature curve: all curves between 20℃-30℃; dehydration speed: 800 rpm-1000 rpm; dehydration time: 5min-10min; detergent dosage: 10ml-15ml, the priority of the clothing processing parameters is determined by the user instructions. When the user instructions correspond to the clothing processing parameters: washing time: 10min; washing temperature curve: a curve corresponding to the initial temperature of 25℃; dehydration speed: 800 rpm; dehydration time: 7min; detergent dosage: 10ml, the target clothing processing parameters are washing time: 10min; washing temperature curve: a curve corresponding to the initial temperature of 25℃; dehydration speed: 800 rpm; dehydration time: 7min; detergent dosage: 10ml.

[0090] S104: performing clothing treatment on the clothing to be treated according to the target clothing treatment parameters.

[0091] It can be understood that when the target laundry treatment parameters are determined, the laundry treatment device will treat the laundry to be treated according to the target laundry treatment parameters.

[0092] For example, you can first add 10 ml of detergent into the clothing treatment device, and the clothing treatment device will wash the clothes to be treated according to the washing time: 10 minutes; washing temperature curve: a curve corresponding to the initial temperature of 25°C; when the washing time reaches 10 minutes, the clothes to be treated that have completed washing will be dehydrated according to the dehydration speed: 800 rpm; dehydration time: 7 minutes, so that the clothes to be treated complete the clothing treatment.

[0093] The clothing processing equipment control method provided in the present embodiment obtains clothing information of clothing to be processed, inputs the clothing information into a clothing processing parameter analysis model, obtains a clothing processing parameter range output by the clothing processing parameter analysis model, the clothing processing parameter analysis model is trained based on historical clothing information in historical data, determines target clothing processing parameters based on the clothing processing parameter range and the priority of each clothing processing parameter within the clothing processing parameter range, and performs clothing processing on the clothing to be processed based on the target clothing processing parameters; this method improves the intelligence level of the clothing processing equipment and the clothing processing effect.

[0094] Figure 2 This is the process of the clothing processing equipment control method provided by this application Figure 2 .like Figure 2 As shown, in this embodiment Figure 1 Based on the embodiment, the control method of the clothes processing device is described in detail. The control method of the clothes processing device shown in this embodiment includes:

[0095] S201: Acquire clothing information of clothing to be processed.

[0096] Among them, step S201 is similar to step S101 and will not be repeated here.

[0097] S202: Pre-processing the clothing information according to the clothing processing parameter analysis model to obtain target clothing information.

[0098] Among them, preprocessing is used to instruct to screen and eliminate clothing information and retain standard data.

[0099] The clothing processing parameter analysis model is used to remove outliers, process missing data, and perform data conversion and standardization on the obtained clothing information to ensure the accuracy and consistency of the data. Effective clothing information can be obtained by preprocessing the clothing information, that is, the weight, type, material, degree of dirtiness, and detergent concentration of the clothing to be processed may have more than one value.

[0100] For example, when a user puts the clothes to be processed into a clothes processing device in batches, multiple values ​​of the clothes weight will be recorded during this process. Then the clothes processing parameter analysis model needs to filter the multiple clothes weights and retain the weight of the clothes that need to be processed in the end.

[0101] S203: Analyze the target clothing information according to the clothing processing parameter analysis model to obtain target features of the target clothing information.

[0102] Among them, the target features of the target clothing information are used to indicate the features of the clothing information that can be associated with the clothing processing parameters. In order to facilitate the judgment of the clothing processing parameter analysis model, some target features of the clothing information will be extracted.

[0103] For example, the target features of clothing information may be: clothing weight: 01-1kg; clothing type: 02-sweater; clothing material: 03-wool; clothing soiling degree: 04-slight; detergent concentration: 05-15%.

[0104] S204: Determine a range of clothing treatment parameters of the clothing treatment device according to the target feature.

[0105] Among them, after inputting the target features of the clothing information into the clothing processing parameter analysis model, the clothing processing parameter analysis model will analyze the target features and the correlation between the target features corresponding to the clothing information in the clothing processing parameter analysis model and the clothing processing parameters to determine the range of clothing processing parameters corresponding to the current target features.

[0106] For example: when the target features of clothing information can be: clothing weight: 01-1kg; clothing type: 02-sweater; clothing material: 03-wool; clothing dirtiness: 04-slight; detergent concentration: 05-15%, clothing processing parameters: washing time: 10min-15min; washing temperature curve: all curves between 20℃-30℃; dehydration speed: 800 rpm-1000 rpm; dehydration time: 5min-10min; detergent dosage: 10ml-15ml.

[0107] S205: Determine whether the candidate laundry processing parameters selected by the user from the plurality of laundry processing parameters are obtained within a preset time period, if so, execute step S207, if not, execute step S206.

[0108] The range of clothing processing parameters can be determined according to the clothing processing parameter analysis model, but the clothing processing device needs to receive specific clothing processing parameters before processing the clothing. The setting of clothing processing parameters can be determined by the user. However, some users forget to set the clothing processing parameters after putting the clothing to be processed into the clothing processing device. In order to process the clothing as quickly as possible, a preset time can be set. By judging whether the candidate clothing processing parameters selected by the user from multiple clothing processing parameters are obtained within the preset time, it is ensured that the clothing in the clothing processing device can be processed.

[0109] It can be understood that when the candidate clothing processing parameters selected by the user from multiple clothing processing parameters are obtained within the preset time, the clothing processing device will process the clothing according to the candidate clothing processing parameters; when the candidate clothing processing parameters selected by the user from multiple clothing processing parameters are not obtained within the preset time, the clothing processing device will determine the candidate clothing processing parameters according to the system's default method for multiple clothing processing parameters, and then process the clothing.

[0110] S206: Acquire the priority of each laundry processing parameter within the laundry processing parameter range, and use the laundry processing parameter with the highest priority as the target laundry processing parameter.

[0111] The priorities of the clothing treatment parameters can be determined by the clothing treatment parameter analysis model according to the weight scores of the clothing treatment parameters, and the priorities of the clothing treatment parameters can be determined according to the ranking of the clothing treatment parameters.

[0112] It can be understood that when the candidate clothing processing parameters selected by the user from multiple clothing processing parameters are not obtained within the preset time period, that is, when the user does not send an instruction, the weight scores of each clothing processing parameter in the clothing processing parameter range analyzed by the clothing processing parameter analysis model can be used, and the one with the highest weight score can be used as the target clothing processing parameter.

[0113] For example: when the clothing processing parameters are: washing time: 10min is the highest priority among 10min-15min; washing temperature curve: the curve corresponding to 20℃ is the highest priority among all curves between 20℃-30℃; dehydration speed: 800 rpm is the highest priority among 800 rpm-1000 rpm; dehydration time: 7min is the highest priority among 5min-10min; detergent dosage: 10ml is the highest priority among 10ml-15ml, the target clothing processing parameters are: washing time: 10min; washing temperature curve: a curve corresponding to the initial temperature of 25℃; dehydration speed: 800 rpm; dehydration time: 7min; detergent dosage: 10ml.

[0114] S207: updating the priority of the candidate laundry processing parameter to a first priority, and taking the candidate laundry processing parameter as the target laundry processing parameter, wherein the first priority is higher than other priorities.

[0115] Among them, the priority of clothing processing parameters can be set by the user.

[0116] It can be understood that when the candidate clothing processing parameters selected by the user from multiple clothing processing parameters are obtained within the preset time period, that is, when the clothing processing parameter instruction set by the user is received, the clothing processing parameters set by the user are the clothing processing parameters with the highest priority within the clothing processing parameter range, that is, the clothing processing parameters set by the user are the target clothing processing parameters.

[0117] S208: performing clothing treatment on the clothing to be treated according to the target clothing treatment parameters.

[0118] Among them, step S208 is similar to step S104 and will not be repeated here.

[0119] S209: When the laundry to be processed is in the first processing stage, reacquiring the laundry information of the laundry to be processed to obtain new laundry information.

[0120] The first processing stage may be, for example, that the clothing processing device processes the clothing for 0 min-1 min according to the target clothing processing parameters, and when the clothing processing time reaches 1 min, the clothing information of the clothing to be processed may be reacquired.

[0121] The reason for performing this step is that the degree of dirtiness of the clothes in the clothing information has been soaked in water, and the degree of dirtiness of the clothes can be determined more accurately by detecting the turbidity of water in the clothing processing device.

[0122] S210: Determine a new clothing treatment parameter range according to the new clothing information and the clothing treatment parameter analysis model.

[0123] The clothing processing device will input the new clothing information into the clothing processing parameter analysis model, and the clothing processing parameter analysis model can obtain a new clothing processing parameter range using the same principle as processing the clothing information.

[0124] S211: determining a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range.

[0125] Among them, the new target clothing processing parameters can be set by the user, or they can be set according to the weight scores of each clothing processing parameter in the new clothing processing parameter range analyzed by the clothing processing parameter analysis model, and the priority of the clothing processing parameters can be determined according to the weight scores, so that the clothing processing parameters with the highest priority (that is, the highest weight score) are used as the new target clothing processing parameters.

[0126] S212: re-processing the laundry to be processed according to the new target laundry processing parameters.

[0127] When new target laundry processing parameters are determined, the laundry processing device processes the laundry according to the new target laundry processing parameters, thereby achieving a better laundry processing effect.

[0128] The control method of a clothing processing device provided in the present embodiment obtains clothing information of clothing to be processed, pre-processes the clothing information according to the clothing processing parameter analysis model to obtain target clothing information, analyzes the target clothing information according to the clothing processing parameter analysis model to obtain target features of the target clothing information, determines the washing parameter range of the clothing processing device according to the target features, obtains the priority of each clothing processing parameter within the clothing processing parameter range when the candidate clothing processing parameter selected by the user from multiple clothing processing parameters is not obtained within a preset time, and uses the clothing processing parameter with the highest priority as the target clothing processing parameter, and when the candidate clothing processing parameter selected by the user from multiple clothing processing parameters is obtained within a preset time, uses the candidate clothing processing parameter The priority of the processing parameter is updated to the first priority, and the candidate clothing processing parameter is used as the target clothing processing parameter, wherein the first priority is higher than other priorities, the clothing to be processed is subjected to clothing processing according to the target clothing processing parameter, and when the clothing to be processed is in the first processing stage, the clothing information of the clothing to be processed is reacquired to obtain new clothing information, a new clothing processing parameter range is determined according to the new clothing information and the clothing processing parameter analysis model, a new target clothing processing parameter is determined according to the new clothing processing parameter range and the priority of each clothing processing parameter within the clothing processing parameter range, and the clothing to be processed is subjected to clothing processing again according to the new target clothing processing parameter; the method improves the intelligence level of the clothing processing device and the clothing processing effect.

[0129] Figure 3 This is the process of the clothing processing equipment control method provided by this application Figure 3 .like Figure 3 As shown, in this embodiment Figure 2 Based on the embodiment, the training process of the clothing processing parameter analysis model is described in detail. The clothing processing device control method shown in this embodiment includes:

[0130] S301: Acquire first historical clothing information of a plurality of first historical clothing items to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing items to be processed, and the clothing states include: a first clothing state where clothing processing has not been performed and a second clothing state where clothing processing has been performed.

[0131] The first clothing state is used to indicate that the clothing treatment effect of the clothing treatment device reaches the effect expected by the user; the second clothing state is used to indicate that the clothing treatment effect of the clothing treatment device does not reach the effect expected by the user.

[0132] It is understandable that in order to train the model, data of clothing treatment parameters and clothing information that can make the clothing treatment effect reach the desired effect of the user can be obtained, so that the training data of the clothing treatment parameter analysis model is effective, and a suitable clothing treatment parameter analysis model can be quickly trained. The clothing treatment effect can be evaluated on the historical clothing information and the set historical clothing treatment parameters, and multiple valid historical clothing information and historical clothing treatment parameters can be obtained.

[0133] S302: Determine the laundry processing completion degree of each first historical laundry to be processed according to the first laundry state and the second laundry state.

[0134] The degree of completion of the clothing treatment is used to indicate the effect of the clothing treatment device on the clothing treatment. The degree of completion of the clothing treatment can be determined by evaluating and scoring the information of the processed clothing and setting weights.

[0135] When the clothing state is the first clothing state, it indicates that the clothing treatment effect is good and can be used as training data. In order to make the result of the training model more accurate, the clothing treatment completion degree can be determined by scoring the clothing information. When the clothing state is the second clothing state, it indicates that the clothing treatment effect is poor and the clothing treatment completion degree can be directly set to a low score.

[0136] S303: When the laundry processing completion degree reaches a preset completion degree, determining first historical laundry information of first historical laundry to be processed corresponding to the laundry processing completion degree and corresponding first historical laundry processing parameters as laundry processing parameter training samples.

[0137] The preset completion degree is used to indicate that the clothing treatment effect can achieve the user's expected effect.

[0138] The clothing information and corresponding clothing processing parameters of the clothing state being the second clothing state may be directly removed, and the clothing information and clothing processing parameters of the clothing state of the first clothing state whose completion degree reaches a preset completion degree may be used as parameter training samples.

[0139] S304: training a data analysis model according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

[0140] Among them, a machine learning algorithm or statistical analysis method such as regression analysis, decision tree, neural network, etc. can be used to establish an association model between clothing treatment parameters and clothing information, and the relationship between clothing treatment parameters and clothing information can be learned based on the patterns and trends in the data to establish a model. A portion of untrained parameter samples can be extracted to verify the established model, evaluate the accuracy and performance of the model, and further perform parameter tuning and model optimization to improve the model's predictive ability and adaptability. Therefore, when clothing information is obtained, the range of clothing treatment parameters can be determined based on the established association model.

[0141] The training method of the clothing processing parameter analysis model provided in the present embodiment obtains first historical clothing information and corresponding first historical clothing processing parameters of multiple first historical clothing to be processed, wherein the first historical clothing information is used to indicate the clothing status of the first historical clothing to be processed, and the clothing status includes: a first clothing status without clothing processing and a second clothing status after clothing processing, and determines the clothing processing completion degree of each first historical clothing to be processed. When the clothing processing completion degree reaches a preset completion degree, the first historical clothing information of the first historical clothing to be processed corresponding to the clothing processing completion degree and the corresponding first historical clothing processing parameters are determined as clothing processing parameter training samples, and the data analysis model is trained according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model; the method improves the intelligence level of the clothing processing equipment and improves the accuracy of clothing processing parameter selection.

[0142] Figure 4 This is a schematic diagram of the structure of the control device for the clothes processing equipment provided in this application. Figure 4 As shown, the present application provides a control device for a clothes processing device, and the control device 400 for the clothes processing device includes:

[0143] An acquisition module 301 is used to acquire clothing information of clothing to be processed;

[0144] A processing module 302 is used to input the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data;

[0145] A determination module 303, configured to determine a target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range;

[0146] The processing module 302 is used to perform clothing processing on the clothing to be processed according to the target clothing processing parameters.

[0147] Optionally, the clothing processing device further includes: a judgment module 304;

[0148] The determination module 304 is used to determine whether the candidate laundry processing parameter selected by the user from the plurality of laundry processing parameters is obtained within a preset time period;

[0149] The determining module 303 is specifically configured to update the priority of the candidate laundry processing parameter to a first priority when a candidate laundry processing parameter selected by the user from a plurality of laundry processing parameters is obtained within a preset time period, and use the candidate laundry processing parameter as the target laundry processing parameter, wherein the first priority is higher than other priorities;

[0150] The determination module 303 is specifically used to obtain the priority of each clothing processing parameter within the clothing processing parameter range when the candidate clothing processing parameter selected by the user from multiple clothing processing parameters is not obtained within a preset time period, and to use the clothing processing parameter with the highest priority as the target clothing processing parameter.

[0151] Optionally, the acquisition module 301 is further used to acquire first historical clothing information of a plurality of first historical clothing items to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing items to be processed, and the clothing states include: a first clothing state where clothing processing has not been performed and a second clothing state where clothing processing has been performed;

[0152] The determining module 303 is further configured to determine the degree of completion of the laundry processing of each first historical laundry to be processed according to the first laundry state and the second laundry state;

[0153] The determination module 303 is further configured to determine, when the degree of completion of the laundry processing reaches a preset degree of completion, first historical laundry information of first historical laundry to be processed corresponding to the degree of completion of the laundry processing and a corresponding first historical laundry processing parameter as a laundry processing parameter training sample;

[0154] The processing module 302 is further used to train the data analysis model according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

[0155] Optionally, the processing module 302 is used to pre-process the clothing information according to the clothing processing parameter analysis model to obtain target clothing information;

[0156] The processing module 302 is used to analyze the target clothing information according to the clothing processing parameter analysis model to obtain the target features of the target clothing information;

[0157] The determination module 303 is specifically configured to determine a range of clothing treatment parameters of the clothing treatment device according to the target feature.

[0158] Optionally, the acquisition module 301 is further configured to reacquire clothing information of the clothing to be processed when the clothing to be processed is in the first processing stage, so as to obtain new clothing information;

[0159] The determination module 303 is further used to determine a new range of clothing treatment parameters according to the new clothing information and the clothing treatment parameter analysis model;

[0160] The determination module 303 is further configured to determine a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range;

[0161] The processing module 302 is further configured to re-process the laundry to be processed according to the new target laundry processing parameters.

[0162] Figure 5 This is a schematic diagram of the structure of the control device for the clothes processing device provided in this application. Figure 5 As shown, the present application provides a clothing processing equipment control device, and the clothing processing equipment control 500 includes: a receiver 501, a transmitter 502, a processor 503 and a memory 504.

[0163] Receiver 501, used for receiving instructions and data;

[0164] A transmitter 502, used for sending instructions and data;

[0165] Memory 504, used to store computer-executable instructions;

[0166] The processor 503 is used to execute the computer-executable instructions stored in the memory 504 to implement the various steps performed by the control method of the laundry processing device in the above embodiment. For details, please refer to the relevant description in the above embodiment of the control method of the laundry processing device.

[0167] Optionally, the memory 504 may be independent or integrated with the processor 503 .

[0168] When the memory 504 is independently provided, the electronic device further includes a bus for connecting the memory 504 and the processor 503 .

[0169] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, a clothing processing device control method as executed by the above-mentioned clothing processing device control device is implemented.

[0170] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0171] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for controlling a clothes processing device, characterized in that: The method comprises: Acquire clothing information of clothing to be processed; Inputting the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data; determining a target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range; The laundry to be processed is subjected to laundry treatment according to the target laundry treatment parameter.

2. The method according to claim 1, characterized in that The step of determining the target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range comprises: determining whether a candidate laundry processing parameter selected by the user from a plurality of laundry processing parameters is obtained within a preset time period; If yes, updating the priority of the candidate laundry processing parameter to a first priority, and using the candidate laundry processing parameter as the target laundry processing parameter, wherein the first priority is higher than other priorities; If not, the priority of each laundry processing parameter within the laundry processing parameter range is obtained, and the laundry processing parameter with the highest priority is used as the target laundry processing parameter.

3. The method according to claim 1, characterized in that: Before obtaining the clothing information of the clothing to be processed, the method further includes: Acquire first historical clothing information of a plurality of first historical clothing items to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing items to be processed, the clothing states comprising: a first clothing state where clothing processing has not been performed and a second clothing state where clothing processing has been performed; determining a laundry processing completion degree of each first historical laundry to be processed according to the first laundry state and the second laundry state; When the degree of completion of the laundry processing reaches a preset degree of completion, determining first historical laundry information of first historical laundry to be processed corresponding to the degree of completion of the laundry processing and a corresponding first historical laundry processing parameter as a laundry processing parameter training sample; The data analysis model is trained according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

4. The method according to claim 1, characterized in that: The step of inputting the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model comprises: pre-processing the clothing information according to the clothing processing parameter analysis model to obtain target clothing information; Analyzing the target clothing information according to the clothing processing parameter analysis model to obtain target features of the target clothing information; A laundry processing parameter range of the laundry processing device is determined according to the target feature.

5. The method according to claim 1, characterized in that After performing laundry treatment on the laundry to be treated according to the target laundry treatment parameters, the method further includes: When the clothes to be processed are in the first processing stage, reacquiring the clothes information of the clothes to be processed to obtain new clothes information; determining a new clothing treatment parameter range according to the new clothing information and the clothing treatment parameter analysis model; determining a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range; The laundry to be processed is re-processed according to the new target laundry processing parameters.

6. A control device for a clothes processing device, characterized in that: include: An acquisition module, used for acquiring clothing information of clothing to be processed; a processing module, configured to input the clothing information into a clothing processing parameter analysis model to obtain a clothing processing parameter range output by the clothing processing parameter analysis model, wherein the clothing processing parameter analysis model is trained based on historical clothing information in historical data; a determination module, configured to determine a target laundry processing parameter according to the laundry processing parameter range and the priority of each laundry processing parameter within the laundry processing parameter range; The processing module is used to perform clothing processing on the clothing to be processed according to the target clothing processing parameters.

7. The device according to claim 6, characterized in that include: The acquisition module is further used to acquire first historical clothing information of a plurality of first historical clothing items to be processed and corresponding first historical clothing processing parameters, wherein the first historical clothing information is used to indicate clothing states of the first historical clothing items to be processed, wherein the clothing states include: a first clothing state where clothing processing has not been performed and a second clothing state where clothing processing has been performed; The determining module is further used to determine the laundry processing completion degree of each first historical laundry to be processed according to the first laundry state and the second laundry state; The determination module is further configured to determine, when the degree of completion of the laundry processing reaches a preset degree of completion, first historical laundry information of first historical laundry to be processed corresponding to the degree of completion of the laundry processing and a corresponding first historical laundry processing parameter as a laundry processing parameter training sample; The processing module is further used to train the data analysis model according to the clothing processing parameter training samples to obtain the trained clothing processing parameter analysis model.

8. The device according to claim 6, characterized in that Also includes: The acquisition module is further used to reacquire clothing information of the clothing to be processed when the clothing to be processed is in the first processing stage, so as to obtain new clothing information; The determination module is further used to determine a new clothing treatment parameter range according to the new clothing information and the clothing treatment parameter analysis model; The determination module is further configured to determine a new target laundry treatment parameter according to the new laundry treatment parameter range and the priority of each laundry treatment parameter within the laundry treatment parameter range; The processing module is further used to re-process the clothes to be processed according to the new target clothes processing parameters.

9. A control device for a clothes processing device, characterized in that: include: Memory; processor; Wherein, the memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the control method of the clothing processing device according to any one of claims 1 to 5.

10. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by the processor, they are used to implement the control method of the clothing processing device according to any one of claims 1 to 5.

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