Control method and device for washing equipment and washing equipment

Abstract

This application provides a control method, device, and washing machine for washing machines. The method comprises: upon detecting that the washing machine is started, acquiring voice information and determining a target keyword based on the voice information; determining the parameter value of at least one characteristic parameter corresponding to the target keyword based on a preset correspondence between the keyword and the characteristic parameter; determining a target washing program based on the parameter value of the characteristic parameter, and performing washing according to the target washing program. This method can improve the intelligence of the washing machine and enhance the user experience.

Description

Technical Field

[0001] The present invention relates to intelligent electrical appliance technology, and in particular to a control method and device for washing equipment, and the washing equipment. Background Art

[0002] With the development of technology, household appliances are becoming more and more intelligent. Users can control washing machines through voice commands.

[0003] Existing smart washing machines have multiple language data preset in them before they leave the factory. When a user uses the smart washing machine, they only need to speak one of the preset voice data as needed to control the smart washing machine.

[0004] However, different users have different ways of expressing themselves. The existing technology not only limits the user's way of expression, but also causes the smart washing machine to be unable to recognize or recognize incorrectly when the user speaks a sentence that is inconsistent with the preset voice data, resulting in a poor user experience. Summary of the Invention

[0005] The present application provides a control method, device and washing device for a washing machine, which can determine a suitable washing program without being restricted by the user's expression, thereby improving the intelligence of the washing machine and enhancing the user experience.

[0006] In a first aspect, the present application provides a method for controlling a washing device, the method comprising: obtaining voice information after detecting that the washing device is started, and determining a target keyword based on the voice information; determining a parameter value of at least one characteristic parameter corresponding to the target keyword based on a correspondence between preset keywords and characteristic parameters; determining a target washing program based on the parameter value of the characteristic parameter, and performing washing processing according to the target washing program.

[0007] Optionally, when there are at least two target keywords, the target washing program is determined according to the parameter values ​​of the characteristic parameters, including: judging whether the same characteristic parameters exist in the characteristic parameters corresponding to at least two target keywords; if the same characteristic parameters exist, determining the same characteristic parameters as the target characteristic parameters; determining the target parameter value corresponding to each target characteristic parameter according to at least two parameter values ​​corresponding to each target characteristic parameter; and determining the target washing program according to the target parameter values.

[0008] Optionally, the target parameter value corresponding to each target characteristic parameter is determined based on at least two parameter values ​​corresponding to each target characteristic parameter, including: for any target characteristic parameter: determining the target parameter value corresponding to the target characteristic parameter based on the frequency of occurrence of each parameter value in the at least two parameter values ​​corresponding to the target characteristic parameter.

[0009] Optionally, when there are at least two target keywords, the target washing program is determined according to the parameter value of the characteristic parameter, including: based on the priority of the preset keywords, determining the target washing program according to the parameter value of the characteristic parameter corresponding to the keyword with a priority greater than the preset value.

[0010] Optionally, based on the correspondence between preset keywords and feature parameters, the parameter value of at least one feature parameter corresponding to the target keyword is determined, including: based on the association relationship between preset keywords, determining the associated keywords associated with the target keyword; based on the correspondence between preset keywords and feature parameters, determining the parameter value of at least one feature parameter corresponding to the associated keyword.

[0011] Optionally, determining the target keyword based on the voice information includes: converting the voice into a first text information; performing word segmentation processing on the first text information to obtain multiple word segments; respectively determining the semantic similarity between the multiple word segments and the preset words, and determining the word segmentation with a semantic similarity greater than the preset value as the target keyword.

[0012] Optionally, performing word segmentation processing on the first text information to obtain multiple word segments includes: removing interference data in the first text information to obtain second text information, where the interference data includes: section breaks and / or special symbols; performing word segmentation processing on the second text information to obtain multiple word segments.

[0013] In a second aspect, the present application provides a control device for a washing machine, the device comprising:

[0014] The acquisition module is used to acquire voice information after detecting that the washing device is started, and determine the target keyword based on the voice information.

[0015] The processing module is used to determine a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter.

[0016] The processing module is further used to determine a target washing program according to the parameter value of the characteristic parameter, and perform washing processing according to the target washing program.

[0017] Optionally, when there are at least two target keywords, the processing module is specifically used to determine whether there are identical characteristic parameters in the characteristic parameters corresponding to at least two target keywords; if there are identical characteristic parameters, the identical characteristic parameters are determined as target characteristic parameters; based on at least two parameter values ​​corresponding to each target characteristic parameter, the target parameter value corresponding to each target characteristic parameter is determined; and based on the target parameter value, the target washing program is determined.

[0018] Optionally, for any target characteristic parameter, the processing module is specifically configured to determine a target parameter value corresponding to the target characteristic parameter according to the frequency of occurrence of each parameter value in at least two parameter values ​​corresponding to the target characteristic parameter.

[0019] Optionally, when there are at least two target keywords, the processing module is specifically configured to determine the target washing program based on the preset priorities of the keywords and according to the parameter values ​​of the characteristic parameters corresponding to the keywords having priorities greater than the preset values.

[0020] Optionally, the processing module is specifically configured to determine associated keywords associated with the target keyword based on the association relationship between preset keywords; and determine a parameter value of at least one characteristic parameter corresponding to the associated keyword based on the correspondence between preset keywords and characteristic parameters.

[0021] Optionally, the processing module is specifically used to convert the speech into a first text information; perform word segmentation processing on the first text information to obtain multiple word segments; determine the semantic similarity between the multiple word segments and the preset words respectively, and determine the word segments whose semantic similarity is greater than the preset value as the target keyword.

[0022] Optionally, the processing module is specifically configured to remove interference data from the first text information to obtain second text information, where the interference data includes: section breaks and / or special symbols; and perform word segmentation processing on the second text information to obtain a plurality of word segments.

[0023] In a third aspect, the present application provides a washing device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute a method such as the first aspect or an optional method of the first aspect.

[0024] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the method of the first aspect or the optional method of the first aspect.

[0025] The control method, device, and washing machine provided herein obtain voice information upon detecting that the washing machine has been activated, and determine a target keyword based on the voice information; determine the parameter value of at least one characteristic parameter corresponding to the target keyword based on the correspondence between preset keywords and characteristic parameters; determine a target washing program based on the parameter value of the characteristic parameter, and perform washing according to the target washing program. Compared to existing technologies, this method of extracting target keywords allows the washing machine to determine an appropriate washing program without being restricted by the user's expression, thereby improving the intelligence of the washing machine and enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0027] Figure 1 A schematic flow chart of a control method for a washing device provided in this application;

[0028] Figure 2 A flow chart of another control method for washing equipment provided in this application;

[0029] Figure 3 A schematic structural diagram of a control device for a washing machine provided in this application;

[0030] Figure 4 This is a structural schematic diagram of a washing device provided in this application. DETAILED DESCRIPTION

[0031] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of 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 making creative efforts are within the scope of protection of this application.

[0032] Existing smart washing machines have multiple voice data preset before they leave the factory. When using a smart washing machine, users can control it simply by speaking a preset voice data. However, users can only control the washing machine by speaking a standard voice. If the user's expression does not match the preset voice, the washing machine may not recognize it or may recognize it incorrectly, resulting in the washing machine not washing the clothes as the user intended. However, different users have different ways of expressing themselves, and existing technologies limit the user's expression. When a user speaks a sentence that is inconsistent with the preset voice data, the smart washing machine may not recognize it or may recognize it incorrectly, resulting in a poor user experience. Furthermore, users must memorize the preset voice data, which increases the user's burden.

[0033] If washing programs can be made independent of the user's expression, the user experience can be improved. Based on this, the present application provides a control method for washing equipment. By extracting keywords from voice data, the washing program that meets the user's needs is determined based on the extracted keywords. This allows the user to control the washing equipment without having to memorize preset voice commands and can simply express themselves according to their personal habits.

[0034] Figure 1 This is a flow chart of a control method for a washing machine provided in this application, which is applied to a washing machine, such as Figure 1 As shown, the method includes:

[0035] S101. After detecting that the washing device is started, voice information is obtained, and target keywords are determined based on the voice information.

[0036] Specifically, the user can start the washing machine by operating the buttons on the washing machine control panel; or the user can wake up the washing machine by voice. For example, the user can wake up the washing machine by saying "Xiao U, Xiao U". When the washing machine detects "Xiao U, Xiao U", it starts to obtain voice information and determines the target keyword based on the obtained voice information.

[0037] The target keyword may be one or more.

[0038] Optionally, determining the target keyword based on the voice information includes: converting the voice into a first text information; performing word segmentation processing on the first text information to obtain multiple word segments; respectively determining the semantic similarity between the multiple word segments and the preset words, and determining the word segments whose semantic similarity is greater than the preset value as the target keyword.

[0039] For example, speech data is converted into text using Automatic Speech Recognition (ASR) technology. The input for speech recognition is generally a time-domain speech signal. Time-domain signal sampling primarily uses Mel Frequency Cepstrum Coefficient (MFCC) technology to extract features from speech data and reduce operational dimensions. Signal encoding and decoding are integrated using a deep learning network, using a deep neural network (DNN) model to model the observation probability of speech. CTC_loss is used as the loss function to address the problem of aligning speech signals and text, and the deep learning network ultimately outputs text information.

[0040] Optionally, performing word segmentation processing on the first text information to obtain multiple word segments includes: removing interference data in the first text information to obtain second text information, where the interference data includes: section breaks and / or special symbols; performing word segmentation processing on the second text information to obtain multiple word segments.

[0041] For example, after obtaining the second text, the part of speech of the second text can be further classified. If pronouns exist, the pronouns can be further converted into their corresponding nouns based on the pronunciation, thereby improving the accuracy of the classification.

[0042] For example, if the washing machine detects "It's a sunny day today, let's wash the clothes I wore when I went hiking yesterday," it can process the corresponding speech recognition and word segmentation to obtain the target keywords "sunny day," "hiking," "clothes," and "wash." For example, if the washing machine detects "wash this," it can determine the target keyword "wash."

[0043] S102: Determine a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter.

[0044] For example, the characteristic parameters may include washing parameters corresponding to the operation program corresponding to the washing device, such as washing water temperature, washing time, washing speed, dehydration time, dehydration speed, drying time, drying speed, etc.

[0045] Continuing to refer to the target keywords obtained in the above example, the characteristic parameters corresponding to the target keyword "wash" are "washing water temperature, washing time, washing speed, dehydration time, dehydration speed, drying time, and drying speed." For example, the parameter values ​​corresponding to the characteristic parameters can be "washing water temperature corresponding to 0 degrees, washing time corresponding to 45 minutes, washing speed corresponding to 100 / min, dehydration time corresponding to 5 minutes, dehydration speed corresponding to 200 rpm, drying time corresponding to 10 minutes, and drying speed corresponding to 150 rpm."

[0046] As shown in the above example, the correspondence between preset keywords and feature parameters determines the parameter value of at least one feature parameter corresponding to the target keyword, which can be directly determining the parameter value of at least one feature parameter corresponding to the obtained target keyword.

[0047] It is understood that the preset correspondence between keywords and characteristic parameters includes the parameter value corresponding to any characteristic parameter, wherein the parameter values ​​corresponding to the same characteristic parameter corresponding to different keywords may be the same or different.

[0048] Optionally, the correspondence between the preset keywords and the characteristic parameters can be used to determine the parameter value of at least one characteristic parameter corresponding to the target keyword. Alternatively, the associated keywords associated with the target keyword can be determined based on the association relationship between the preset keywords; and the parameter value of at least one characteristic parameter corresponding to the associated keyword can be determined based on the correspondence between the preset keywords and the characteristic parameters.

[0049] It is understandable that there may be one or more associated keywords associated with the target keyword.

[0050] For example, referring to the target keywords obtained in the above example, assume that based on the preset association relationship between keywords, the associated keyword corresponding to the target keyword "mountain climbing" is determined to be "sunny day"; and based on the preset correspondence between keywords and characteristic parameters, the characteristic parameters corresponding to the associated keyword "sunny day" are determined to be "washing water temperature, washing time, washing speed, spin time, and spin speed." For example, the parameter values ​​of the characteristic parameters corresponding to "sunny day" can be "washing water temperature corresponding to 0 degrees, washing time corresponding to 45 minutes, washing speed corresponding to 100 rpm, spin time corresponding to 5 minutes, and spin speed corresponding to 200 rpm."

[0051] For example, the associated keywords corresponding to "mountain climbing" may also include "sportswear." Further, the characteristic parameters corresponding to "sportswear" are determined to be "washing water temperature, washing time, washing speed, dehydration time, dehydration speed, drying time, and drying speed." For example, the parameter values ​​of the characteristic parameters corresponding to "sportswear" may be "washing water temperature corresponding to 0 degrees, washing time corresponding to 45 minutes, washing speed corresponding to 100 rpm, dehydration time corresponding to 5 minutes, dehydration speed corresponding to 200 rpm, drying time corresponding to 10 minutes, and drying speed corresponding to 150 rpm."

[0052] Through this method, relationships are established between different keywords, further reducing the restrictions on user voice. Users can control washing equipment more flexibly, improving the intelligence of washing equipment and enhancing user experience.

[0053] Optionally, the target clothing type corresponding to the target keyword can be determined based on the correspondence between the preset keywords and clothing types; based on the correspondence between the preset clothing types and characteristic parameters, at least one characteristic parameter corresponding to the target clothing type and its parameter value can be determined as the characteristic parameter and its parameter value corresponding to the target keyword.

[0054] For example, if the clothing type corresponding to "mountain climbing" is "sportswear," the characteristic parameters and parameter values ​​corresponding to sportswear are determined as the parameter values ​​of the characteristic parameters corresponding to "mountain climbing"; if the clothing type corresponding to "banquet" is "business suit," the characteristic parameters and parameter values ​​corresponding to business suit are determined as the parameter values ​​of the characteristic parameters corresponding to "banquet"; if the clothing type corresponding to "yoga suit" is "sportswear," the characteristic parameters and parameter values ​​corresponding to sportswear are determined as the parameter values ​​of the characteristic parameters corresponding to "yoga suit." It should be noted that new implementations formed by combining any of the above possible implementations also fall within the scope of protection of this application.

[0055] S103: Determine a target washing program according to the parameter value of the characteristic parameter, and perform washing according to the target washing program.

[0056] It is understood that when there is only one target keyword, the parameter value of the characteristic parameter corresponding to the target keyword can be determined as the target washing program, and the washing process can be performed according to the washing program. When there are multiple target keywords, one target keyword can determine the parameter value of a group of characteristic parameters, and the target washing program can be determined based on the parameter values ​​of multiple groups of characteristic parameters.

[0057] Optionally, when there are at least two target keywords, the target washing program is determined according to the parameter value of the characteristic parameter, including: based on the priority of the preset keywords, the target washing program is determined according to the parameter value of the characteristic parameter corresponding to the target keyword with the highest priority.

[0058] For example, assuming that the user inputs the voice message "It's a sunny day today, let's wash the sheets.", the target keywords obtained include "sunny", "wash" and "sheets", and assuming that the preset priorities are "sunny", "sheets", and "wash" from high to low, among which "sunny" has the highest priority, the target washing program is determined according to the parameter value of the characteristic parameter corresponding to "sunny".

[0059] Optionally, when there are at least two target keywords, determining the target washing program according to the parameter value of the characteristic parameter may also include: based on the priority of the preset keywords, determining the target washing program according to the parameter value of the characteristic parameter corresponding to the keyword with a priority greater than the preset value.

[0060] For example, assuming that the user inputs the voice message "It's a sunny day today, let's wash the sheets.", the target keywords obtained include "sunny day", "wash" and "sheets". Assuming that the priorities of "sunny day" and "sheets" are both greater than the preset value, and the priority of "wash" is less than the preset value, the target washing program is determined according to the parameter values ​​of the characteristic parameters corresponding to "sunny day" and "sheets".

[0061] In an embodiment of the present application, after detecting that the washing machine is started, voice information is acquired and, based on the voice information, a target keyword is determined; based on the correspondence between preset keywords and characteristic parameters, the parameter value of at least one characteristic parameter corresponding to the target keyword is determined; based on the parameter value of the characteristic parameter, a target washing program is determined and washing is performed according to the target washing program. Compared to existing technologies, this method of extracting target keywords allows the washing machine to determine an appropriate washing program without being restricted by the user's expression, thereby improving the intelligence of the washing machine and enhancing the user experience.

[0062] The following further describes in detail another control method for washing equipment when there are at least two target keywords through an embodiment.

[0063] Figure 2 This is a flow chart of another control method for washing equipment provided in this application, which is applied to washing equipment, such as Figure 2 As shown, the method includes:

[0064] S201. After detecting that the washing device is started, voice information is obtained, and target keywords are determined based on the voice information.

[0065] Among them, there are at least two target keywords.

[0066] S202: Determine a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter.

[0067] S201 and S202 have the same technical features as S101 and S102. For detailed description, please refer to S101 and S102 and will not be repeated here.

[0068] S203: Determine whether there are identical feature parameters among the feature parameters corresponding to at least two target keywords; if there are identical feature parameters, determine the identical feature parameters as target feature parameters.

[0069] For example, assuming that the user inputs the voice message "It's a sunny day today, let's wash the sheets.", the target keywords obtained include "sunny", "wash" and "sheets", among which the characteristic parameters corresponding to "sunny" include "washing water temperature, washing time, washing speed, dehydration time, dehydration speed". The characteristic parameters corresponding to "wash" include "washing water temperature, washing time, washing speed, dehydration time, dehydration speed, drying time and drying speed". The characteristic parameters corresponding to "sheets" include "washing water temperature, washing time, washing speed, dehydration time, dehydration speed, drying time and drying speed". If the same characteristic parameters include "washing water temperature, washing time, washing speed, dehydration time, dehydration speed", they will be determined as target characteristic parameters.

[0070] S204: Determine a target parameter value corresponding to each target characteristic parameter according to at least two parameter values ​​corresponding to each target characteristic parameter.

[0071] Optionally, determining the target parameter value corresponding to each target feature parameter based on at least two parameter values ​​corresponding to each target feature parameter may include: determining the target parameter value corresponding to each target feature parameter based on at least two parameter values ​​corresponding to each target feature parameter and the weight of the target keyword corresponding to any parameter value.

[0072] For example, referring to the above example, let's assume that the washing time for "Sunny Day" is 30 minutes, the washing time for "Wash" is 30 minutes, and the washing time for "Sheets" is 45 minutes. The weights for "Sunny Day," "Wash," and "Sheets" are A, B, and C, respectively. Therefore, the target parameter value for the target feature parameter "Washing Time" is 30*A+15*B+45*C.

[0073] Through this method, the target parameter value corresponding to the target characteristic parameter can be determined in combination with the target keyword, the correlation between the parameter value and the keyword can be improved, the correlation between the determined target washing program and the language input by the user can be improved, and the accuracy of the target washing program can be improved.

[0074] Optionally, determining the target parameter value corresponding to each target characteristic parameter based on at least two parameter values ​​corresponding to each target characteristic parameter may include: for any target characteristic parameter: determining the target parameter value corresponding to the target characteristic parameter based on the frequency of occurrence of each parameter value in the at least two parameter values ​​corresponding to the target characteristic parameter.

[0075] Optionally, determining the target parameter value corresponding to the target characteristic parameter based on the frequency of occurrence of each parameter value in at least two parameter values ​​corresponding to the target characteristic parameter may include: determining the parameter value with the highest occurrence frequency in at least two parameter values ​​corresponding to the target characteristic parameter as the target parameter value.

[0076] For example, referring to the above example, if the frequency of occurrence of the washing time of 30 minutes is higher than 45 minutes, 30 minutes is determined as the target parameter value corresponding to the target characteristic parameter "washing time".

[0077] The method can improve the accuracy of the target washing program by determining the parameter value with high frequency as the target parameter value, so that the target washing program can meet the needs of the user to the greatest extent.

[0078] Optionally, determining the target parameter value corresponding to the target characteristic parameter based on the frequency of occurrence of each parameter value in at least two parameter values ​​corresponding to the target characteristic parameter may include: determining the target parameter value based on a parameter value in at least two parameter values ​​corresponding to the target characteristic parameter whose frequency of occurrence is greater than a preset frequency threshold.

[0079] For example, assuming that the parameter values ​​corresponding to the washing time are 15 minutes, 30 minutes, and 45 minutes, respectively, where the frequency of 15 minutes is 1, the frequency of 30 minutes is 3, and the frequency of 45 minutes is 4, and assuming that the preset frequency threshold is 2, the target parameter value corresponding to the washing time of 30 minutes and 45 minutes is determined. For example, the average value can be calculated.

[0080] S205: Determine a target washing procedure according to the target parameter value, and perform washing according to the target washing procedure.

[0081] The embodiment of the present application, based on the above embodiment, further, when there are at least two target keywords, by judging whether there are identical feature parameters in the feature parameters corresponding to the at least two target keywords, if there are identical feature parameters, the identical feature parameters are determined as the target feature parameters; and based on the at least two parameter values ​​corresponding to each target feature parameter, the target parameter value corresponding to each target feature parameter is determined, and then based on the target parameter value, the target washing program is determined, and the washing process is performed according to the target washing program. It can fully understand and comprehensively analyze the voice data input by the user, determine a washing program that better meets the needs of users, and further improve the accuracy of the determined target washing program.

[0082] Figure 3 This is a schematic diagram of the structure of a control device for a washing machine provided in this application, such as Figure 3 As shown, the device includes:

[0083] The acquisition module 31 is used to acquire voice information after detecting that the washing device is started, and determine the target keyword based on the voice information.

[0084] The processing module 32 is configured to determine a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter.

[0085] The processing module 32 is further configured to determine a target washing program according to the parameter value of the characteristic parameter, and perform washing processing according to the target washing program.

[0086] Optionally, when there are at least two target keywords, the processing module 32 is specifically used to determine whether there are identical characteristic parameters in the characteristic parameters corresponding to at least two target keywords; if there are identical characteristic parameters, the identical characteristic parameters are determined as target characteristic parameters; based on at least two parameter values ​​corresponding to each target characteristic parameter, the target parameter value corresponding to each target characteristic parameter is determined; and based on the target parameter value, the target washing program is determined.

[0087] Optionally, for any target characteristic parameter, the processing module 32 is specifically configured to determine a target parameter value corresponding to the target characteristic parameter according to the frequency of occurrence of each parameter value in at least two parameter values ​​corresponding to the target characteristic parameter.

[0088] Optionally, when there are at least two target keywords, the processing module 32 is specifically configured to determine the target washing program based on the preset priorities of the keywords and according to the parameter values ​​of the characteristic parameters corresponding to the keywords having priorities greater than the preset values.

[0089] Optionally, the processing module 32 is specifically configured to determine associated keywords associated with the target keyword based on the preset association relationship between keywords; and determine a parameter value of at least one characteristic parameter corresponding to the associated keyword based on the preset correspondence between keywords and characteristic parameters.

[0090] Optionally, the processing module 32 is specifically used to convert the speech into a first text information; perform word segmentation processing on the first text information to obtain multiple word segments; determine the semantic similarity between the multiple word segments and the preset words respectively, and determine the word segments with a semantic similarity greater than the preset value as the target keyword.

[0091] Optionally, the processing module 32 is specifically configured to remove interference data from the first text information to obtain second text information, where the interference data includes section breaks and / or special symbols; and perform word segmentation processing on the second text information to obtain a plurality of word segments.

[0092] The control device of the washing equipment can implement the control method of the washing equipment. The content and effect thereof can be referred to the embodiment of the control method of the washing equipment, which will not be described in detail.

[0093] Figure 4 A schematic diagram of the structure of a washing device provided in this application, such as Figure 4As shown, the washing device includes: a processor 41 and a memory 42; the processor 41 is in communication with the memory 42. The memory 42 is used to store computer programs. The processor 41 is used to call the computer program stored in the memory 42 to implement the method in the above method embodiment.

[0094] Optionally, the washing device further includes: a transceiver 43 for communicating with other devices.

[0095] The washing device can execute the above-mentioned control method for washing devices. The content and effects thereof can be referred to the method embodiment part, which will not be described in detail.

[0096] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the control method of the above-mentioned washing device.

[0097] The computer executable instructions stored in the computer-readable storage medium can implement the above-mentioned control method of the washing device when executed by the processor. Its content and effects can be referred to the embodiment of the control method of the washing device, which will not be described in detail.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. 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 make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A control method for a washing device, characterized in that: include: After detecting that the washing device is started, acquiring voice information, and determining target keywords based on the voice information; Determining a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter; determining a target washing program according to the parameter value of the characteristic parameter, and performing washing processing according to the target washing program; When there are at least two target keywords, determining a target washing program according to the parameter values ​​of the characteristic parameters includes: Determining whether there are identical characteristic parameters among the characteristic parameters corresponding to the at least two target keywords; If the same characteristic parameters exist, the same characteristic parameters are determined as target characteristic parameters; Determining a target parameter value corresponding to each target characteristic parameter according to at least two parameter values ​​corresponding to each target characteristic parameter; determining a target washing program according to the target parameter value; Determining the target parameter value corresponding to each target characteristic parameter according to the at least two parameter values ​​corresponding to each target characteristic parameter includes: For any of the target characteristic parameters: Determine the target parameter value corresponding to the target characteristic parameter according to the frequency of occurrence of each of the at least two parameter values ​​corresponding to the target characteristic parameter; or When there are at least two target keywords, determining a target washing program according to the parameter values ​​of the characteristic parameters includes: Based on the preset priorities of the keywords, the target washing program is determined according to the parameter values ​​of the characteristic parameters corresponding to the keywords whose priorities are greater than the preset values.

2. The method according to claim 1, characterized in that The determining, based on the preset correspondence between the keywords and the characteristic parameters, a parameter value of at least one characteristic parameter corresponding to the target keyword includes: Determining associated keywords associated with the target keyword based on the preset association relationship between the keywords; According to the preset correspondence between the keywords and the characteristic parameters, a parameter value of at least one characteristic parameter corresponding to the associated keyword is determined.

3. The method according to claim 1 or 2, characterized in that The step of determining a target keyword based on the voice information includes: Converting the speech into a first text message; Performing word segmentation processing on the first text information to obtain multiple word segments; Semantic similarities between the multiple segmented words and the preset word are determined respectively, and the segmented words with a semantic similarity greater than a preset value are determined as the target keywords.

4. The method according to claim 3, characterized in that The performing word segmentation processing on the first text information to obtain a plurality of word segments includes: removing interference data from the first text information to obtain second text information, wherein the interference data includes: section breaks and / or special symbols; The second text information is segmented to obtain a plurality of segmented words.

5. A control device for a washing machine, characterized in that: include: an acquisition module, configured to acquire voice information after detecting that the washing device is started, and determine a target keyword based on the voice information; a processing module, configured to determine a parameter value of at least one characteristic parameter corresponding to the target keyword according to a preset correspondence between the keyword and the characteristic parameter; The processing module is further configured to determine a target washing program according to the parameter value of the characteristic parameter, and perform washing processing according to the target washing program; If there are at least two target keywords, the processing module is specifically configured to determine whether there are identical characteristic parameters among the characteristic parameters corresponding to the at least two target keywords; if there are identical characteristic parameters, determine the identical characteristic parameters as target characteristic parameters; determine a target parameter value corresponding to each target characteristic parameter based on the at least two parameter values ​​corresponding to each target characteristic parameter; and determine a target washing program based on the target parameter values; For any of the target characteristic parameters, the processing module is specifically configured to determine the target parameter value corresponding to the target characteristic parameter according to the frequency of occurrence of each of the at least two parameter values ​​corresponding to the target characteristic parameter; or If there are at least two target keywords, the processing module is specifically configured to determine a target washing program based on preset keyword priorities and according to parameter values ​​of characteristic parameters corresponding to keywords having priorities greater than preset values.

6. A washing device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 4 when executed by a processor.

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