Voice interaction control method, application terminal and storage medium

Abstract

The invention provides a voice interaction control method, an application terminal and a storage medium, the voice interaction control method is used for the application terminal, the application terminal is provided with an application program for controlling a clothes care machine, the application terminal is provided with a server, and the voice interaction control method comprises the following steps: S1, acquiring voice information input by a user and uploading the voice information to the server; s2, the server performs recognition by using a voice database and determines a nursing strategy; and S3, the clothes nursing machine carries out nursing operation according to the nursing strategy. According to the voice interaction control method, the clothes care machine can be more intelligent through voice interaction; the nursing strategy is quickly determined by utilizing the preset information mode mapping table stored on the server, meanwhile, mass data of the user parameters are uploaded to the server, and the mapping table is updated after screening, so that the user can better conform to the use habits of the user, and the user experience is good.

Description

Technical Field

[0001] The present invention relates to the technical field of household appliances, and in particular to a voice interaction control method, an application terminal and a storage medium. Background Art

[0002] With the improvement of living standards, people's demand for clothing care is becoming more personalized and diversified, and clothing care machines are widely used. By introducing steam into the care box, wrinkles on the clothes in the care box can be smoothed to achieve the wrinkle removal function. Usually, it is controlled manually and the operation is very cumbersome.

[0003] To this end, the Chinese patent application number 202110937023.5 discloses a control method and system for an ironing care machine, and a computer-readable storage medium, which are executed on an application terminal, including obtaining a control instruction preset in a tag unit; opening a language input interface in the application management program according to the control instruction; obtaining and recognizing voice instructions, and extracting clothing information from the voice instructions, and generating ironing parameters for ironing clothing based on the clothing information. This solution can quickly obtain a suitable care strategy, but the recognition accuracy of fabric materials is limited, which is not conducive to refined care.

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] The problem solved by the present invention is that the existing voice interaction control method cannot realize accurate recognition of fabric material, which is not conducive to refined care.

[0006] To solve the above problems, the present invention provides a voice interaction control method for an application terminal, wherein the application terminal has an application program for controlling a clothing care machine, and the application terminal has a server, comprising the following steps:

[0007] S1. Obtain the voice information input by the user and upload it to the server;

[0008] S2, the server uses the voice database to identify and determine the nursing strategy;

[0009] The server can establish a connection with the clothing care machine in a variety of ways, such as through a wireless network, short-range wireless communication technology, etc.; when the care machine is currently in a connected state, the voice information input by the user can be sent to the server via a wireless network, so that the server can receive the voice information input by the user sent by the washing machine for recognition operations. After determining the care strategy corresponding to the voice information, it can be returned to the clothing care machine via a wireless network.

[0010] S3. The clothing care machine performs care operations according to the care strategy.

[0011] The present invention utilizes a voice database to improve the accuracy of voice recognition, and can extract semantic keywords from the recognized voice information through a server, and use a preset information mode mapping table stored in the server to match the corresponding nursing strategy to achieve refined nursing. The nursing strategy includes steam temperature, nursing times, ironing speed, etc.

[0012] Preferably, step S1 comprises:

[0013] S101, obtaining a voice wake-up instruction;

[0014] When collecting the voice data sent by the user, the voice data sent by the user can be collected through a microphone, a pickup or other related voice collection device. The voice collection device can be integrated on the application terminal to collect the voice data sent by the user.

[0015] S102, determining whether the voice wake-up instruction matches the preset wake-up instruction;

[0016] S103: If the voice wake-up instruction matches the preset wake-up instruction, enter the voice interaction mode; otherwise, return to step S101 until a matching voice wake-up instruction is obtained;

[0017] S104: In response to the voice wake-up instruction, obtain the voice information input by the user and upload it to the server.

[0018] In order to prevent sound interference caused by other non-operating users, the application terminal first receives the matching wake-up command and then collects the sound signal before obtaining the user's voice information. This can effectively avoid sound interference caused by other external sounds and improve the effectiveness and accuracy of collecting voice information.

[0019] Preferably, step S2 comprises:

[0020] S201, using a voice database to identify and parse the received voice command to obtain semantic keywords;

[0021] S202, matching the semantic keywords with the pre-stored keywords to determine the attribute information of the clothing to be cared for, where the attribute information includes at least one of the type of clothing, fabric material, and weight;

[0022] S203: Search and determine a nursing strategy according to the attribute information through a preset information mode mapping table.

[0023] Through deep learning, massive corpora are trained and learned, which enriches the recognition of voice input, effectively avoids the problem of high recognition error rate through simple voice recognition models, improves the flexibility, diversity and accuracy of voice input, and enhances user experience; through the preset information mode mapping table, the care strategy can be quickly determined to improve the accuracy of device recognition. Preferably, the preset information mode mapping table is stored on the server. During the use of the clothing care machine, the care operation parameters selected by the user after filtering keywords can be uploaded to the server. After the server analyzes this type of massive data and removes abnormal data, it can update the preset information mode mapping table to cater to the user's usage habits and provide a better user experience.

[0024] Preferably, step S201 includes:

[0025] S2011. Using deep learning algorithms to update and train the speech database;

[0026] S2012. The voice database recognizes the voice information.

[0027] In order to ensure the accuracy of the server's recognition of voice information, the voice database in this application is classified and set according to actual needs, such as divided into control instruction corpus, fault description corpus, clothing care knowledge corpus, etc., and this application does not make specific limitations on this; in the specific implementation, the corpus in the voice database can be text segmented, and the text after segmentation can be quantized; the quantized data is then brought into the deep learning algorithm, so as to use the deep learning algorithm to train and learn the data, generate a speech recognition model, and improve the accuracy of speech recognition.

[0028] Preferably, step S203 includes:

[0029] S2031, determining whether the keywords include at least fabric material, if so, executing step S2032, if not, executing step S2033;

[0030] S2032, searching and determining the corresponding nursing strategy through a preset information mode mapping table, or sending the clothing information to a server, and receiving the nursing strategy searched and determined through the preset information mode mapping table from the server, and sending the nursing program corresponding to the nursing strategy to the clothing care machine;

[0031] S2033. Issue a command prompting the user to provide clothing material information and return to step S2031.

[0032] Fabric material is very important for clothing care; when the user's voice message does not contain the fabric material of the clothing, the user should be prompted to issue a voice command again, or several material types should be provided for the user to choose. For example, if the user does not specify the material of the clothing when outputting the voice, a voice or text prompt will be issued, "What material is this shirt made of?" or "Material types include cotton, linen, and silk, which one is it?" and other similar prompts can reduce the inaccuracy of voice recognition due to errors or voice recognition.

[0033] Preferably, the voice interaction control method also includes S0, the clothing care machine is operated online.

[0034] As an example of the present invention, the clothing care machine is connected to the network using the following method:

[0035] S01. The application terminal sends the network configuration information to the server via the http protocol; the application terminal may include terminals such as mobile phones, tablet computers, laptop computers, PDAs, personal digital assistants, and wearable devices, and the application terminal may also be the clothing care machine itself.

[0036] S02. The server sends network configuration data and network configuration code to the application terminal, wherein the network configuration data includes the wireless network identifier to be connected and the corresponding network password;

[0037] S03, the application terminal transmits the distribution network data to the clothing care machine through the Bluetooth module;

[0038] S04. The clothing care machine is connected to the network and registered on the server.

[0039] Compared with the prior art, the voice interaction control method of the present invention has the following beneficial effects: 1) voice interaction can improve the intelligence of the machine, reduce the dependence on recognition technology in the nursing process, and realize refined nursing; 2) online and remote control can be realized through the application terminal, and the preset information mode mapping table stored on the server is used to quickly determine the nursing strategy. At the same time, massive data of user parameters are uploaded to the server, and the mapping table is updated after screening to make it more in line with the user's usage habits and provide a good user experience.

[0040] The present invention also provides an application terminal, comprising: a memory storing a computer program; and a processor configured to implement the above-mentioned voice interaction control method when executing the computer program. As an example of the present invention, the remote control method of the clothing care machine by the application terminal is:

[0041] S001. The server sends a device binding code and control function permission information to the application terminal; S002. The application terminal negotiates a control key with the clothing care machine and uploads it to the server;

[0042] Preferably, the control key is performed by the following method:

[0043] S0021. The application terminal randomly generates a control key sesskey and a randomly generated 15-byte randTxt, and encrypts them through srckey to obtain a 32-byte ciphertext cipherTxt; as an example of the present invention, the encryption method is AES128-CBC-Pkcs7padding. Preferably, the srckey is an MD5 value calculated by the application terminal using the agreed 10-byte data sequence and the 6-byte MAC address.

[0044] S0022. The application terminal calculates the MD5 value of sessKey as hash verification and sends cipherTxt+hash to the clothing care machine; S0023. The clothing care machine decrypts srckey to obtain the plaintext sesskey+randTxt, extracts the first 16 bytes of sesskey as the current session key, and the decryption method is the same as the encryption method; S0024. The clothing care machine calculates the MD5 value of sesskey and verifies it with the hash transmitted by the application terminal;

[0045] S003. The server sends a control key to the application terminal.

[0046] Key negotiation can increase the security of communication between the application terminal and the clothing care machine. It can not only realize automatic clothing care in voice mode, but also remotely control the clothing care machine through the application terminal, providing a good user experience.

[0047] The present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the voice interaction control method described above is implemented. The readable storage medium and the application terminal have the same beneficial effects as the voice interaction control method, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a flow chart of the voice interaction control method according to Embodiment 1 of the present invention;

[0049] Figure 2 This is a flow chart of the voice interaction control method described in Example 2 of the present invention. DETAILED DESCRIPTION

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the case of different conflicts, the technical features in the embodiments of the present invention can be combined with each other.

[0051] In the description of the present invention, it should be noted that the directions or positional relationships indicated by terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “vertical”, “inside” and “outside” are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0052] In the description of the present invention, it should be noted that, unless otherwise clearly stipulated and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium.

[0053] Example 1

[0054] like Figure 1 As shown, the present invention provides a voice interaction control method for an application terminal, wherein the application terminal has an application program for controlling a clothing care machine, and the application terminal has a server, comprising the following steps:

[0055] S1. Obtain the voice information input by the user and upload it to the server.

[0056] When collecting the voice data sent by the user, the voice data sent by the user can be collected through a microphone, a pickup or other related voice collection device. The voice collection device can be integrated on the application terminal to collect the voice data sent by the user. It is understandable that the smart terminal and the server can exchange data in the form of wired communication or wireless communication. For example, a wifi module or a 4G network or 5G network communication module.

[0057] As an example of the present invention, the application terminal performs voice recognition on voice commands through the ASR (Automatic Speech Recognition) module in the voice recognition system, generates voice data corresponding to the voice commands through the ASR module, and further performs natural speech processing on the generated voice data through the NLP (Natural Language Processing) module in the voice recognition system to recognize the user's semantics.

[0058] S2, the server uses the voice database to identify and determine the nursing strategy;

[0059] Through deep learning, a large amount of corpus is trained and learned, which enriches the recognition of voice input, effectively avoids the problem of high recognition error rate in simple voice recognition models, improves the flexibility, diversity and accuracy of voice input, and enhances user experience. The care strategies include steam temperature, number of care times, ironing speed, etc.

[0060] The server can establish a connection with the clothing care machine in a variety of ways, such as through a wireless network, short-range wireless communication technology, etc.; when the care machine is currently in a connected state, the voice information input by the user can be sent to the server via a wireless network, so that the server can receive the voice information input by the user sent by the washing machine for recognition operations. After determining the care strategy corresponding to the voice information, it can be returned to the clothing care machine via a wireless network.

[0061] After determining the keyword information in the user's voice information, the keyword information is extracted, including fabric material, clothing quantity, clothing object, clothing type, etc. For example, the keyword information includes several keywords such as "target clothing A", "3 pieces", "pure cotton", "shirt", and "children's clothing". According to the keyword information, it can be determined that the clothing parameter items include: clothing type, clothing material, and clothing quantity. The clothing parameter values ​​corresponding to the clothing parameter items are shirt, children's clothing, pure cotton, and 3 pieces.

[0062] S3. The clothing care machine performs care operations according to the care strategy.

[0063] For example, if the user inputs that a pure cotton shirt needs to be cared for through voice, the server will retrieve the ironing parameters of the pure cotton shirt: ironing temperature 120°C, ironing plate distance 0mm from the clothes, ironing speed 8mm / S, ironing 2 times, etc. After obtaining the above parameters, the control system of the clothing care machine controls the boiler to heat and generate steam of corresponding temperature, the driving device adjusts the distance between the ironing plate and the clothes to 0mm, and irons twice at a speed of 8mm / s.

[0064] If the clothing to be cared for indicated by the user's voice input is silk, the server will retrieve the corresponding ironing parameters for silk: ironing temperature 110°C, distance from the clothing 0.5mm, ironing speed 5mm / s, ironing once, etc.; after obtaining the above parameters, the control system of the clothing care machine controls the boiler to heat and generate steam of corresponding temperature, the driving device adjusts the distance between the ironing plate and the clothing to 0.5mm, and irons once at a speed of 5mm / s.

[0065] Preferably, the voice interaction control method further includes S0, the clothing care machine is connected to the network. As an example of the present invention, the clothing care machine is connected to the network using the following method:

[0066] S01. The application terminal sends the network configuration information to the server through the http protocol; the application terminal may include terminals such as mobile phones, tablet computers, laptop computers, PDAs, personal digital assistants, and wearable devices.

[0067] S02. The server sends network configuration data and network configuration code to the application terminal. The network configuration data includes the wireless network identifier to be connected and the corresponding network password.

[0068] S03, the application terminal transmits the distribution network data to the clothing care machine through the Bluetooth module;

[0069] S04. The clothing care machine is connected to the network and registered on the server.

[0070] The voice interaction control method of the present invention can improve the intelligence of the machine through voice interaction, reduce the dependence on recognition technology in the nursing process, and realize refined nursing; it can realize online and remote control through the application terminal, and use the preset information mode mapping table stored on the server to quickly determine the nursing strategy. At the same time, massive data of user parameters are uploaded to the server, and the mapping table is updated after screening to make it more in line with the user's usage habits and provide a good user experience.

[0071] Example 2

[0072] A voice interaction control method is used for an application terminal, wherein the application terminal has an application program for controlling a clothing care machine, and the application terminal has a server, comprising the following steps:

[0073] S1. Get voice wake-up command;

[0074] In order to prevent interference from sounds emitted by other non-operating users, the application terminal first receives a matching wake-up command and then collects the sound signal before obtaining the user's voice information. This can effectively avoid sound interference caused by other external sounds and improve the effectiveness and accuracy of collecting voice information.

[0075] S2, determining whether the voice wake-up command matches the preset wake-up command;

[0076] S3. If the voice wake-up instruction matches the preset wake-up instruction, enter the voice interaction mode. If not, return to step S1 until a matching voice wake-up instruction is obtained.

[0077] S4. In response to the voice wake-up instruction, the voice information input by the user is obtained and uploaded to the server.

[0078] As an example of the present invention, when entering the voice interaction mode, the application terminal switches and enters the corresponding UI operation interface, and the user can directly speak the clothes he wants to iron, such as: "I want to iron a white shirt", "I want to iron a black suit", "I want to iron a silk skirt", etc.

[0079] S5, using the voice database to identify and parse the received voice command to obtain semantic keywords;

[0080] In order to ensure the accuracy of the server's recognition of voice information, the voice database in this application is classified and set according to actual needs, such as divided into control instruction corpus, fault description corpus, clothing care knowledge corpus, etc., and this application does not make specific limitations on this; in the specific implementation, the corpus in the voice database can be text segmented, and the text after segmentation can be quantized; the quantized data is then brought into the deep learning algorithm, so as to use the deep learning algorithm to train and learn the data, generate a speech recognition model, and improve the accuracy of speech recognition.

[0081] As an example of the present invention, step S5 includes:

[0082] S51, using a deep learning algorithm to update and train the speech database;

[0083] S52: The voice database recognizes the voice information.

[0084] The user voice information input by the user usually includes keyword information and non-keyword information. The non-keyword information is generally conjunctions, adverbs, modal particles and other words without actual meaning used in spoken expressions, such as "um", "yes", "le", "that", etc.; the keyword information is important information describing clothing information, such as quantifiers, nouns describing clothing types, nouns describing clothing materials, etc.

[0085] By setting up a voice database on the server, the user's voice information can be parsed and keyword information used to describe clothing information can be obtained. The voice database can be preset when the clothing care machine leaves the factory, or it can be input and set by the user according to personal habits, or it can be obtained by the clothing care machine through self-learning, and it can be stored on the server, or on the application terminal or the clothing care machine.

[0086] S6, matching the semantic keywords with the pre-stored keywords to determine the attribute information of the clothing to be cared for, where the attribute information includes at least one of the type of clothing, fabric material, and weight;

[0087] S7. Search and determine the nursing strategy according to the attribute information through a preset information mode mapping table.

[0088] For example, when the user describes the material of the clothes during voice output, a keyword such as "silk skirt" is extracted. If the server stores ironing parameters suitable for silk materials, ironing parameters suitable for silk clothes can be directly generated. As an example of the present invention, step S7 includes:

[0089] S71, determining whether the keywords include at least fabric material, if so, executing step S72, if not, executing step S73;

[0090] S72, searching and determining the corresponding nursing strategy through a preset information mode mapping table, or sending the clothing information to a server, and receiving the nursing strategy searched and determined through the preset information mode mapping table from the server, and sending the nursing program corresponding to the nursing strategy to the clothing care machine;

[0091] The preset information mode mapping table is used to characterize the correspondence between clothing information and care strategies. For example, the ironing parameters of a pure cotton shirt are: ironing temperature 120°C, ironing board distance 0mm, ironing speed 8mm / s, ironing 2 times; while the ironing parameters of silk are ironing temperature 110°C, distance 0.5mm, ironing speed 5mm / s, ironing 1 time; and for children's clothing, sterilization treatment is required while ironing, and the number of ironing times can be increased or the ironing speed can be reduced to 50%.

[0092] The smart washing machine obtains a classification model that can characterize the mapping relationship between different target clothing information and detergent dispensing information through self-learning. Through this classification model, different target clothing information can be used as input values ​​to obtain corresponding detergent dispensing information. The process of training the classification model through self-learning until the classification model converges is not described here.

[0093] S73. Issue a command to prompt the user to provide clothing material information and return to step S71.

[0094] Fabric material is very important for clothing care; when the user's voice message does not contain the fabric material of the clothing, the user should be prompted to issue a voice command again, or several material types should be provided for the user to choose. For example, if the user does not specify the material of the clothing when outputting the voice, a voice or text prompt will be issued, "What material is this shirt made of?" or "Material types include cotton, linen, and silk, which one is it?" and other similar prompts can reduce the inaccuracy of voice recognition due to errors or voice recognition.

[0095] The preset information mode mapping table can be used to quickly determine the care strategy and improve the accuracy of device recognition. Preferably, the preset information mode mapping table is stored in the server. During the use of the clothing care machine, the care operation parameters selected by the user after filtering the keywords can be uploaded to the server. After the server analyzes this type of massive data and removes abnormal data, it can update the preset information mode mapping table to cater to the user's usage habits and provide a better user experience.

[0096] S8. The clothing care machine performs care operations according to the care strategy.

[0097] The present invention utilizes a voice database to improve the accuracy of voice recognition. At the same time, the server can extract semantic keywords from the recognized voice information, and use the preset information mode mapping table stored in the server to match the corresponding nursing strategy to achieve refined nursing.

[0098] The present invention also provides an application terminal, comprising: a memory storing a computer program; and a processor configured to implement the above-mentioned voice interaction control method when executing the computer program. The application terminal may include terminals such as mobile phones, tablet computers, laptop computers, PDAs, personal digital assistants, and wearable devices.

[0099] As an example of the present invention, the remote control method of the application terminal to the clothing care machine is:

[0100] S001. The server sends a device binding code and control function permission information to the application terminal; S002. The application terminal negotiates a control key with the clothing care machine and uploads it to the server;

[0101] Preferably, the control key is performed by the following method:

[0102] S0021. The application terminal randomly generates a control key sesskey and a randomly generated 15-byte randTxt, and encrypts them through srckey to obtain a 32-byte ciphertext cipherTxt; as an example of the present invention, the encryption method is AES128-CBC-Pkcs7padding. Preferably, the srckey is an MD5 value calculated by the application terminal using the agreed 10-byte data sequence and the 6-byte MAC address.

[0103] S0022. The application terminal calculates the MD5 value of sessKey as hash verification and sends cipherTxt+hash to the clothing care machine; S0023. The clothing care machine decrypts srckey to obtain the plaintext sesskey+randTxt, extracts the first 16 bytes of sesskey as the current session key, and the decryption method is the same as the encryption method; S0024. The clothing care machine calculates the MD5 value of sesskey and verifies it with the hash transmitted by the application terminal;

[0104] S003. The server sends a control key to the application terminal.

[0105] Key negotiation can increase the security of communication between the application terminal and the clothing care machine. It can not only realize automatic clothing care in voice mode, but also remotely control the clothing care machine through the application terminal, providing a good user experience.

[0106] The present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the voice interaction control method described above is implemented. The readable storage medium and the application terminal have the same beneficial effects as the voice interaction control method, which will not be described in detail here.

[0107] The computer-readable storage medium may be a readable storage medium or a readable signal medium, and may be the same as the storage unit mentioned above, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk, etc. In the embodiments provided in the present application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units described in 25 is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0108] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A voice interaction control method, used in an application terminal, wherein the application terminal has an application program for controlling a clothing care machine, and the application terminal has a server, characterized in that: include: S1. Obtain the voice information input by the user and upload it to the server; S2, the server uses the voice database to identify and determine the nursing strategy; S3. The clothing care machine performs care operations according to the care strategy.

2. The voice interaction control method according to claim 1, characterized in that: Step S1 includes: S101, obtaining a voice wake-up instruction; S102, determining whether the voice wake-up instruction matches the preset wake-up instruction; S103: If the voice wake-up instruction matches the preset wake-up instruction, enter the voice interaction mode; otherwise, return to step S101 until a matching voice wake-up instruction is obtained; S104: In response to the voice wake-up instruction, obtain the voice information input by the user and upload it to the server.

3. The voice interaction control method according to claim 1, characterized in that: Step S2 includes: S201, using a voice database to identify and parse the received voice command to obtain semantic keywords; S202, matching the semantic keywords with the pre-stored keywords to determine the attribute information of the clothing to be cared for, where the attribute information includes at least one of the type of clothing, fabric material, and weight; S203: Search and determine a nursing strategy according to the attribute information through a preset information mode mapping table.

4. The voice interaction control method according to claim 3, characterized in that: Step S201 includes: S2011. Using deep learning algorithms to update and train the speech database; S2012. The voice database recognizes the voice information.

5. The voice interaction control method according to claim 3, characterized in that: Step S203 includes: S2031, determine whether the keywords include at least fabric material, if so, execute step S2032, if not, execute step S2033; S2032, searching and determining the corresponding nursing strategy through a preset information mode mapping table, or sending the clothing information to a server, and receiving the nursing strategy searched and determined through the preset information mode mapping table from the server, and sending the nursing program corresponding to the nursing strategy to the clothing care machine; S2033. Issue a command prompting the user to provide clothing material information and return to step S2031.

6. The voice interaction control method according to claim 1, characterized in that: The voice interaction control method also includes S0, the nursing machine performing networking operation.

7. The voice interaction control method according to claim 6, characterized in that: Step S0 includes: S01. The application terminal sends the network configuration information to the server via the http protocol; S02. The server sends network configuration data and network configuration code to the application terminal, wherein the network configuration data includes the wireless network identifier to be connected and the corresponding network password; S03, the application terminal transmits the distribution network data to the clothing care machine through the Bluetooth module; S04. The clothing care machine is connected to the network and registered on the server.

8. An application terminal, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to implement the voice interaction control method as described in any one of claims 1 to 8 when executing the computer program.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the voice interaction control method according to any one of claims 1 to 8 is implemented.

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