CN114639379A - Interaction method and device of intelligent electric appliance, computer equipment and medium - Google Patents

Interaction method and device of intelligent electric appliance, computer equipment and medium Download PDF

Info

Publication number
CN114639379A
CN114639379A CN202210230070.0A CN202210230070A CN114639379A CN 114639379 A CN114639379 A CN 114639379A CN 202210230070 A CN202210230070 A CN 202210230070A CN 114639379 A CN114639379 A CN 114639379A
Authority
CN
China
Prior art keywords
behavior
executed
electric appliance
control instruction
scene
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210230070.0A
Other languages
Chinese (zh)
Inventor
姚俊安
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Puhui Enterprise Management Co Ltd
Original Assignee
Ping An Puhui Enterprise Management Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ping An Puhui Enterprise Management Co Ltd filed Critical Ping An Puhui Enterprise Management Co Ltd
Priority to CN202210230070.0A priority Critical patent/CN114639379A/en
Publication of CN114639379A publication Critical patent/CN114639379A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G10L15/1822—Parsing for meaning understanding
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

Abstract

The application relates to the field of intelligent home furnishing, and discloses an interaction method and device of an intelligent electric appliance, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring voice data of a user; recognizing the semantics of the voice data; determining the behavior intention of the user according to the semantics, and matching a behavior scene based on the behavior intention; acquiring behavior habit information contained in the behavior scene; and determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation. According to the method and the device, the intention of the user and the behavior habits and life scenes of the associated user can be sensed, the corresponding intelligent electric appliances are intelligently controlled to execute corresponding operations according to the behavior habits and the life scenes, and convenience and accuracy of electric appliance interaction are improved.

Description

Interaction method and device of intelligent electric appliance, computer equipment and medium
Technical Field
The present application relates to the field of smart home, and in particular, to an interaction method and apparatus for a smart appliance, a computer device, and a storage medium.
Background
Along with the development of the field of smart home, the smart home can provide various functions for a user, including functions of home appliance control, voice shopping, mobile phone recharging, outsourcing, audio music playing and the like, specifically, voice information is converted into a text and then intention identification is carried out, corresponding home appliances are operated according to different intentions, only instruction operation of asking for one answer is realized, and because the number of the smart home appliances is more and more, the control of the smart home appliances cannot be efficiently finished in the mode, so that the control efficiency of the current smart appliances is low, and the interactive association degree of the smart appliances is low.
Disclosure of Invention
The application mainly aims to provide an interaction method and device of an intelligent electrical appliance, a computer device and a storage medium, and aims to solve the problems that the control efficiency of the existing intelligent electrical appliance is low and the interaction correlation degree of the intelligent electrical appliance is low.
In order to achieve the above object, the present application provides an interaction method for an intelligent electrical appliance, including:
acquiring voice data of a user;
recognizing the semantics of the voice data;
determining the behavior intention of the user according to the semantics, and matching a behavior scene based on the behavior intention;
acquiring behavior habit information contained in the behavior scene;
and determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
Further, the determining an electric appliance to be executed based on the behavior habit information and sending a corresponding control instruction to the electric appliance to be executed includes:
acquiring behavior data contained in the behavior habit information;
extracting the electric appliance to be executed and the operation information of the electric appliance to be executed from the behavior data;
determining a control instruction of the electric appliance to be executed according to the operation information;
and sending a corresponding control instruction to the electric appliance to be executed.
Further, the sending the corresponding control instruction to the to-be-executed electric appliance includes:
acquiring a first control instruction of each electric appliance to be executed;
sequentially outputting the first control instruction to a user;
and after receiving feedback information of the user on the first control instruction, sending the corresponding first control instruction to the to-be-executed electric appliance.
Further, the sequentially outputting the first control instruction to the user includes:
acquiring the starting frequency of the electric appliance to be executed corresponding to each behavior data;
sequencing the electric appliances to be executed according to the starting frequency;
and sequentially outputting the first control instructions corresponding to the electric appliances to be executed to a user according to the sorting sequence.
Further, after the matching of the behavior scene based on the behavior intention, the method further includes:
acquiring a correlation scene of the behavior scene;
acquiring a correlation control instruction of the correlation scene;
and controlling the electric appliance to execute corresponding operation according to the associated control instruction.
Further, the acquiring the behavior habit information included in the behavior scene includes:
recognizing voiceprint features according to the voice data;
determining identity information of the user according to the voiceprint features;
and determining the behavior habit information contained in the behavior scene according to the identity information.
Further, after the sending a corresponding control instruction to the to-be-executed electrical appliance to control the to-be-executed electrical appliance to execute a corresponding operation, the method further includes:
acquiring the operation data of the electric appliance to be executed;
and modifying the behavior habit information according to the operation data.
The application also provides an interaction device of the intelligent electrical appliance, comprising:
the voice acquisition module is used for acquiring voice data of a user;
the semantic recognition module is used for recognizing the semantics of the voice data;
the scene matching module is used for determining the behavior intention of the user according to the semantics and matching the behavior scene based on the behavior intention;
the behavior habit module is used for acquiring behavior habit information contained in the behavior scene;
and the instruction control module is used for determining an electric appliance to be executed based on the behavior habit information and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
The application also provides computer equipment which comprises a memory and a processor, wherein the memory stores computer programs, and the processor realizes the steps of the interaction method of the intelligent electric appliance when executing the computer programs.
The present application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the interaction method of the smart appliance described in any one of the above.
The embodiment of the application provides a method for perceiving the intention of a user and associating the behavior habits and living scenes of the user and intelligently controlling corresponding intelligent electric appliances to execute corresponding operations according to the behavior habits and the living scenes, firstly, voice data of the user are obtained, the semantics of the voice data are identified according to a natural language processing algorithm, the content expressed by the voice data is determined, the behavior intention of the user is determined according to the semantics of the identified voice data, and an intelligent voice assistant learns the living scenes and relevant rules of the user, so that the behavior scenes can be matched based on the behavior intention, different behavior scenes can be matched according to different behavior intentions, the living scenes can be enriched, the control of the intelligent electric appliances under different behavior scenes is simplified, the control efficiency is improved, and various different behavior scenes are defined, and each behavior scene also defines different behavior habit information, so that the behavior habit information contained in the behavior scene is obtained, the contained behavior is determined according to the behavior habit information, then the corresponding to-be-executed electric appliance is determined according to the behavior, then the corresponding control instruction is sent to the to-be-executed electric appliance, and after the to-be-executed electric appliance receives the control instruction, the corresponding operation is executed based on the control instruction, so that behavior scenes suitable for the electric appliance are created for different users, the corresponding operation of the corresponding intelligent electric appliance is intelligently controlled according to the behavior habits and the living scenes, the convenience and the efficiency of interaction of the electric appliance are improved, and the accuracy of the operation of the intelligent electric appliance under different scenes is improved.
Drawings
Fig. 1 is a schematic flowchart illustrating an embodiment of an interaction method of an intelligent electrical appliance according to the present application;
FIG. 2 is a flow chart illustrating an embodiment of determining emotion types of the sound data according to the present application;
FIG. 3 is a schematic structural diagram of an embodiment of an interaction device of an intelligent electrical appliance according to the present application;
FIG. 4 is a block diagram illustrating a computer device according to an embodiment of the present invention.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
Referring to fig. 1, an embodiment of the present application provides an interaction method of a smart appliance, including steps S10-S50, and the detailed description of each step of the interaction method of the smart appliance is as follows.
And S10, acquiring the voice data of the user.
The embodiment is applied to a control scene of an intelligent electric appliance, under the control scene of the intelligent electric appliance, the intelligent electric appliances connected with each other can be controlled through an intelligent terminal, in one implementation mode, the intelligent electric appliances connected with the intelligent voice assistant are controlled through an intelligent voice assistant, the intelligent voice assistant is an avatar, the voice assistant can be applied to a specified intelligent terminal, for example, the intelligent voice assistant built in a smart phone realizes the control of the intelligent electric appliances connected with each other, or the intelligent voice assistant built in an intelligent sound box realizes the control of the intelligent electric appliances connected with each other, or the intelligent voice assistant built in an intelligent television realizes the control of the intelligent electric appliances connected with each other. Specifically, the voice data of the user is acquired first, and when the user starts the intelligent voice assistant and sends an instruction to the intelligent voice assistant, the voice data of the user is collected through the microphone, so that the voice data of the user is acquired.
And S20, recognizing the semantics of the voice data.
In this embodiment, after acquiring the voice data of the user, the voice data needs to be recognized, and in an implementation, the semantics of the voice data are recognized according to a natural language processing algorithm, so as to determine the content expressed by the voice data.
And S30, determining the behavior intention of the user according to the semantics, and matching the behavior scene based on the behavior intention.
In this embodiment, after the voice data of the user is acquired and the semantics of the voice data are recognized, the behavioral intention of the user is determined according to the semantics, that is, the behavioral intention of the user is determined according to the recognized semantics of the voice data, and in different scenes, the same sentence may represent different intentions. Further, after determining the behavior intention of the user, the intelligent voice assistant has learned the life scene and related rules of the user, so that the behavior scene can be matched based on the behavior intention. In one embodiment, when it is determined that the behavior intention of the user is "go home", the matching behavior scenario is "go home life scenario"; when the behavior intention of the user is determined to be 'going out', the matched behavior scene is 'going out' life scene, different behavior scenes are matched according to different behavior intents, the life scene can be enriched, control of the intelligent electrical appliance in different behavior scenes is simplified, and control efficiency is improved.
And S40, acquiring the behavior habit information contained in the behavior scene.
In this embodiment, after determining the behavior intention of the user according to the semantics and matching the behavior scenes based on the behavior intention, behavior habit information included in the behavior scenes is acquired, and by defining a plurality of different behavior scenes, each behavior scene also defines different behavior habit information, for example, the behavior scene is a "home-returning life scene", the matched behavior habit information includes "turn on a light a, turn on a light B, turn on a purifier", and the like, and the behavior scene is an "outgoing life scene", and the matched behavior habit information includes "turn off the light a, turn off the light B, turn off the purifier, turn on a sweeping robot", and the like, and the behavior information included in the different behavior scenes, and the behavior habit information included in the behavior scenes is acquired in advance and is obtained through learning iteration.
And S50, determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute a corresponding operation.
In the embodiment, after the behavior intention of the user is determined according to the semantics, the behavior scene is matched based on the behavior intention, and the behavior habit information contained in the behavior scene is acquired, the electric appliance to be executed is determined based on the behavior habit information, namely, the contained behavior is determined according to the behavior habit information, then the corresponding electric appliance is determined according to the behavior and defined as the electric appliance to be executed, after the electric appliances to be executed corresponding to different behaviors are determined, the corresponding control instruction is sent to the electric appliance to be executed, and after the electric appliance to be executed receives the control instruction, the corresponding operation is executed based on the control instruction, so that the behavior scene suitable for the electric appliance is created for different users, the corresponding intelligent electric appliance is intelligently controlled to execute the corresponding operation according to the behavior habit and the life scene, and the convenience and the efficiency of electric appliance interaction are improved, and the running accuracy of the intelligent electrical appliance under different scenes is improved.
The embodiment provides a method for sensing the intention of a user and associating the behavior habits and life scenes of the user and intelligently controlling corresponding intelligent electrical appliances to execute corresponding operations according to the behavior habits and the life scenes, firstly, acquiring the voice data of the user, identifying the semantics of the voice data according to a natural language processing algorithm, determining the content expressed by the voice data, determining the behavior intention of the user according to the identified semantics of the voice data, and an intelligent voice assistant learns the life scenes and relevant rules of the user, so that the behavior scenes can be matched based on the behavior intention, different behavior scenes can be matched according to different behavior intentions, the life scenes can be enriched, the control of the intelligent electrical appliances under different behavior scenes is simplified, the control efficiency is improved, and by defining a plurality of different behavior scenes, and each behavior scene is also defined with different behavior habit information, so that the behavior habit information contained in the behavior scene is obtained, the contained behavior is determined according to the behavior habit information, then the corresponding to-be-executed electric appliance is determined according to the behavior, a corresponding control instruction is sent to the to-be-executed electric appliance, and after the to-be-executed electric appliance receives the control instruction, the corresponding operation is executed based on the control instruction, so that the behavior scene adaptive to the electric appliance is created for different users, the corresponding intelligent electric appliance is intelligently controlled to execute the corresponding operation according to the behavior habit and the living scene, the convenience and the efficiency of electric appliance interaction are improved, and the accuracy of the operation of the intelligent electric appliance under different scenes is improved.
In one embodiment, the determining an electric appliance to be executed based on the behavior habit information and sending a corresponding control instruction to the electric appliance to be executed includes:
acquiring behavior data contained in the behavior habit information;
extracting the electric appliance to be executed and the operation information of the electric appliance to be executed from the behavior data;
determining a control instruction of the electric appliance to be executed according to the operation information;
and sending a corresponding control instruction to the electric appliance to be executed.
In this embodiment, in the process of determining an electric appliance to be executed based on the behavior habit information and sending a corresponding control instruction to the electric appliance to be executed, because different behavior scenes have different behavior habit information, or different users have different behavior habit information, and the behavior habit information includes a plurality of different behaviors, each behavior corresponds to the operation of the electric appliance to be executed and the electric appliance to be executed, specifically, behavior data included in the behavior habit information is obtained, the behavior data is each specific behavior, such as "turn on an air conditioner", "turn on a television", and the like, and the number of the behavior data is at least two, then the operation information of the electric appliance to be executed and the electric appliance to be executed is extracted from the behavior data, that is, the operation information of the electric appliance to be executed and the electric appliance to be executed corresponding to each behavior data is obtained, and then determining a control instruction of the electric appliance to be executed according to the operation information, generating a starting control instruction when the operation information is on, generating a closing control instruction when the operation information is off, and sending a corresponding control instruction to the electric appliance to be executed, so that different control instructions are accurately sent to different electric appliances to be executed, and the running accuracy of the intelligent electric appliance is improved.
In one embodiment, the sending the corresponding control instruction to the to-be-executed electrical appliance includes:
acquiring a first control instruction of each electric appliance to be executed;
sequentially outputting the first control instruction to a user;
and after receiving feedback information of the user on the first control instruction, sending the corresponding first control instruction to the to-be-executed electric appliance.
In this embodiment, in the process of sending corresponding control instructions to the to-be-executed electrical appliances, the number of the to-be-executed electrical appliances determined based on the behavior habit information is greater than or equal to two, in order to more accurately determine the electrical appliances currently desired to be controlled by the user and the operations of the controlled electrical appliances, first, a first control instruction of each to-be-executed electrical appliance is obtained, that is, in one behavior scene, the operations performed on different electrical appliances are different, for example, a closing operation is performed on the electrical appliance a, a opening operation is performed on the electrical appliance B, a temperature-raising operation is performed on the electrical appliance C, and the like, so that a control instruction of each to-be-executed electrical appliance is obtained and defined as a first control instruction, and then the first control instruction is sequentially output to the user, in one embodiment, the intelligent voice assistant sequentially outputs the first control instruction to the user in a voice manner, for example, for ' closing operation on the electric appliance a ' is executed ', the method outputs ' help you close the electric appliance a ', then receives feedback information of a user on the first control instruction, wherein the feedback information is positive feedback information, and sends the corresponding first control instruction to the electric appliance to be executed after receiving the feedback information of the user on the first control instruction, so that the corresponding first control instruction is accurately sent to the electric appliance to be executed, and the operation accuracy of the intelligent electric appliance is improved.
In one embodiment, the sequentially outputting the first control instruction to the user includes:
acquiring the starting frequency of the electric appliance to be executed corresponding to each behavior data;
sequencing the electric appliances to be executed according to the starting frequency;
and sequentially outputting the first control instructions corresponding to the electric appliances to be executed to a user according to the sorting sequence.
In this embodiment, in the process of sequentially outputting the first control instruction to the user, the order of the sent first control instruction needs to be determined, that is, which to-be-executed electrical appliance is executed first and which to-be-executed electrical appliance is executed later, specifically, the starting frequency of the to-be-executed electrical appliance corresponding to each behavior data is obtained, then the to-be-executed electrical appliances are sequenced according to the starting frequency, the first control instruction corresponding to the to-be-executed electrical appliance is sequentially output to the user according to the sequencing order, the starting order of the to-be-executed electrical appliances used at high frequency is arranged in front, and the starting order of the to-be-executed electrical appliances used at low frequency is arranged in back, so that the execution order of the to-be-executed electrical appliances meets the actual requirements of the user more, and the accuracy of the operation of the intelligent electrical appliance is improved.
In one embodiment, after the matching of the behavior scenario based on the behavior intention, the method further includes:
acquiring a correlation scene of the behavior scene;
acquiring a correlation control instruction of the correlation scene;
and controlling the electric appliance to execute corresponding operation according to the associated control instruction.
In this embodiment, after matching behavior scenes based on the behavior intents, because a certain association relationship exists between different behavior scenes, an association scene of the behavior scenes is obtained, then an association control instruction of the association scene is obtained, specifically, behavior habit information included in the association scene is obtained, then an electrical appliance to be executed corresponding to the behavior habit information included in the association scene is obtained, then an association control instruction of the electrical appliance to be executed corresponding to the behavior habit information included in the association scene is determined, then a corresponding control instruction is sent to the electrical appliance to be executed, the electrical appliance is controlled to execute corresponding operations according to the association control instruction, so as to improve the association between the behavior scenes, for example, after 2 hours of executing the behavior scene 1, the operation of the electrical appliance corresponding to the association scene 2 of the behavior scene 1 is automatically executed, therefore, corresponding intelligent electrical appliances are intelligently controlled to execute corresponding operations according to behavior habits and life scenes, and convenience and efficiency of electrical appliance interaction are improved.
In another embodiment, when the user does not send voice data, but the intelligent voice assistant detects that the interconnected intelligent electrical appliances are running, the current behavior scene is determined according to the running states of the intelligent electrical appliances, then the behavior habit information contained in the behavior scene is continuously acquired, then the electrical appliances to be executed are determined based on the behavior habit information, corresponding control instructions are sent to the electrical appliances to be executed to control the electrical appliances to be executed to execute corresponding operations, and the running states of the interconnected intelligent electrical appliances are automatically monitored, so that the electrical appliances are automatically switched to the corresponding behavior scenes, and the convenience and the efficiency of electrical appliance interaction are improved.
In an embodiment, as shown in fig. 2, the acquiring behavior habit information included in the behavior scenario includes:
s41: recognizing voiceprint features according to the voice data;
s42: determining identity information of the user according to the voiceprint features;
s43: and determining the behavior habit information contained in the behavior scene according to the identity information.
In this embodiment, in the process of acquiring the behavior habit information included in the behavior scene, because different users have different behavior habits in the same behavior scene, for different users, the behavior habit information of different users in different scenes is collected and stored, and when the behavior habit information included in the behavior scene is determined, firstly, the voiceprint features are identified according to the voice data, that is, the voiceprint features in the voice data are identified, the voiceprint features are features representing one person speaking, and the person can be identified and distinguished through the voiceprint features, in this embodiment, the identity information of the user is determined according to the voiceprint features, that is, the identity information of the user who currently speaks is determined, and then the behavior habit information included in the behavior scene is determined according to the identity information, so as to accurately configure the behavior habit information of different users in different behavior scenes, so as to accurately control the operation of the intelligent electric appliance under different behavior scenes of different users. In an actual scenario, after the user sends voice data to the intelligent voice assistant, when the intelligent voice assistant recognizes that the user is the user C1 and the scene X, it is determined that the scene X includes behavior habit information X1, X2, and X3; when the intelligent voice assistant recognizes that the user C2 and the scene X, it is determined that the scene X contains the behavior habit information X2, X3 and X4.
In one embodiment, after the sending the corresponding control instruction to the to-be-executed electrical appliance to control the to-be-executed electrical appliance to execute the corresponding operation, the method further includes:
acquiring the operation data of the electric appliance to be executed;
and modifying the behavior habit information according to the operation data.
In this embodiment, after a corresponding control instruction is sent to the to-be-executed electrical appliance to control the to-be-executed electrical appliance to execute a corresponding operation, the operation data of the to-be-executed electrical appliance is acquired, where the operation data includes operation time, operation parameters, and the like, and the behavior habit information is modified according to the operation data, so that the operation parameters and the operation time of each to-be-executed electrical appliance are accurately determined, and the accuracy of operation of the intelligent electrical appliance when the to-be-executed electrical appliance enters a behavior scene again is improved.
Referring to fig. 3, the present application further provides an interaction apparatus for an intelligent electrical appliance, including:
a voice acquiring module 10, configured to acquire voice data of a user;
a semantic recognition module 20, configured to recognize a semantic meaning of the voice data;
the scene matching module 30 is used for determining the behavior intention of the user according to the semantics and matching the behavior scene based on the behavior intention;
a behavior habit module 40, configured to obtain behavior habit information included in the behavior scene;
and the instruction control module 50 is configured to determine an electric appliance to be executed based on the behavior habit information, and send a corresponding control instruction to the electric appliance to be executed, so as to control the electric appliance to be executed to execute a corresponding operation.
Specifically, the voice obtaining module 10 collects voice data of a user through a microphone to obtain voice data of the user, the semantic recognizing module 20 recognizes semantics of the voice data according to a natural language processing algorithm to determine content of the voice data expression, the scene matching module 30 determines a behavior intention of the user according to the recognized semantics of the voice data, and after determining the behavior intention of the user, the scene matching module 30 has learned a living scene and related rules of the user, so as to match the behavior scene based on the behavior intention, match different behavior scenes according to different behavior intents, and enrich the living scene, thereby simplifying control of the intelligent electrical appliance in different behavior scenes and improving control efficiency, the behavior habit module 40 defines a plurality of different behavior scenes, each behavior scene further defines different behavior habit information, the behavior habit information contained in the behavior scene is acquired, the instruction control module 50 determines the contained behaviors according to the behavior habit information, then determines corresponding electric appliances according to the behaviors, defines the electric appliances to be executed, sends corresponding control instructions to the electric appliances to be executed after determining the electric appliances to be executed corresponding to different behaviors, and executes corresponding operations based on the control instructions after the electric appliances to be executed receive the control instructions, so that behavior scenes suitable for different users are created, corresponding intelligent electric appliances are intelligently controlled to execute corresponding operations according to the behavior habits and the living scenes, convenience and efficiency of electric appliance interaction are improved, and the accuracy of intelligent electric appliance operation in different scenes is improved.
As described above, it can be understood that the components of the interaction device of the smart appliance proposed in the present application can implement the functions of any one of the interaction methods of the smart appliance described above.
In one embodiment, the determining, based on the behavior habit information, an electric appliance to be executed, and sending a corresponding control instruction to the electric appliance to be executed includes:
acquiring behavior data contained in the behavior habit information;
extracting the electric appliance to be executed and the operation information of the electric appliance to be executed from the behavior data;
determining a control instruction of the electric appliance to be executed according to the operation information;
and sending a corresponding control instruction to the electric appliance to be executed.
In one embodiment, the sending the corresponding control instruction to the to-be-executed electrical appliance includes:
acquiring a first control instruction of each electric appliance to be executed;
sequentially outputting the first control instruction to a user;
and after receiving feedback information of the user on the first control instruction, sending the corresponding first control instruction to the electric appliance to be executed.
In one embodiment, the sequentially outputting the first control instruction to the user includes:
acquiring the starting frequency of the electric appliance to be executed corresponding to each behavior data;
sequencing the electric appliances to be executed according to the starting frequency;
and sequentially outputting the first control instructions corresponding to the electric appliances to be executed to a user according to the sorting sequence.
In one embodiment, after the matching of the behavior scenario based on the behavior intention, the method further includes:
acquiring a correlation scene of the behavior scene;
acquiring a correlation control instruction of the correlation scene;
and controlling the electric appliance to execute corresponding operation according to the associated control instruction.
In one embodiment, the obtaining of the behavior habit information included in the behavior scenario includes:
recognizing voiceprint features according to the voice data;
determining identity information of the user according to the voiceprint features;
and determining the behavior habit information contained in the behavior scene according to the identity information.
In one embodiment, after the sending the corresponding control instruction to the to-be-executed electrical appliance to control the to-be-executed electrical appliance to execute the corresponding operation, the method further includes:
acquiring the operation data of the electric appliance to be executed;
and modifying the behavior habit information according to the operation data.
Referring to fig. 4, a computer device, which may be a mobile terminal and whose internal structure may be as shown in fig. 4, is also provided in the embodiment of the present application. The computer equipment comprises a processor, a memory, a network interface, a display device and an input device which are connected through a system bus. Wherein, the network interface of the computer equipment is used for communicating with an external terminal through network connection. The input means of the computer device is for receiving input from a user. The computer designed processor is used to provide computational and control capabilities. The memory of the computer device includes a storage medium. The storage medium stores an operating system, a computer program, and a database. The database of the computer device is used for storing data. The computer program is executed by a processor to implement an interactive method of an intelligent appliance.
The processor executes the interaction method of the intelligent electric appliance, and the interaction method comprises the following steps: acquiring voice data of a user; recognizing the semantics of the voice data; determining the behavior intention of the user according to the semantics, and matching a behavior scene based on the behavior intention; acquiring behavior habit information contained in the behavior scene; and determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
The computer equipment provides a method which can sense the intention of a user and associate the behavior habits and life scenes of the user and intelligently control corresponding intelligent electric appliances to execute corresponding operations according to the behavior habits and the life scenes, firstly, voice data of the user are obtained, the semantics of the voice data are identified according to a natural language processing algorithm, the content expressed by the voice data is determined, the behavior intention of the user is determined according to the semantics of the identified voice data, and an intelligent voice assistant learns the life scenes and related rules of the user, so that the behavior scenes can be matched based on the behavior intention, different behavior scenes can be matched according to different behavior intents, the life scenes can be enriched, the control of the intelligent electric appliances under different behavior scenes is simplified, the control efficiency is improved, and a plurality of different behavior scenes are defined, and each behavior scene is also defined with different behavior habit information, so that the behavior habit information contained in the behavior scene is obtained, the contained behavior is determined according to the behavior habit information, then the corresponding to-be-executed electric appliance is determined according to the behavior, a corresponding control instruction is sent to the to-be-executed electric appliance, and after the to-be-executed electric appliance receives the control instruction, the corresponding operation is executed based on the control instruction, so that the behavior scene adaptive to the electric appliance is created for different users, the corresponding intelligent electric appliance is intelligently controlled to execute the corresponding operation according to the behavior habit and the living scene, the convenience and the efficiency of electric appliance interaction are improved, and the accuracy of the operation of the intelligent electric appliance under different scenes is improved.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by the processor, implements an interaction method for an intelligent appliance, including the steps of: acquiring voice data of a user; recognizing the semantics of the voice data; determining the behavior intention of the user according to the semantics, and matching a behavior scene based on the behavior intention; acquiring behavior habit information contained in the behavior scene; and determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
The computer readable storage medium provides a method for sensing the intention of a user and associating the behavior habits and life scenes of the user and intelligently controlling corresponding intelligent electric appliances to execute corresponding operations according to the behavior habits and the life scenes, firstly, voice data of the user are obtained, the semantics of the voice data are identified according to a natural language processing algorithm, the content expressed by the voice data is determined, the behavior intention of the user is determined according to the semantics of the identified voice data, and an intelligent voice assistant learns the life scenes and relevant rules of the user, so that the behavior scenes can be matched based on the behavior intention, different behavior scenes can be matched according to different behavior intents, the life scenes can be enriched, the control of the intelligent electric appliances under different behavior scenes is simplified, the control efficiency is improved, and a plurality of different behavior scenes are defined, and each behavior scene is also defined with different behavior habit information, so that the behavior habit information contained in the behavior scene is obtained, the contained behavior is determined according to the behavior habit information, then the corresponding to-be-executed electric appliance is determined according to the behavior, a corresponding control instruction is sent to the to-be-executed electric appliance, and after the to-be-executed electric appliance receives the control instruction, the corresponding operation is executed based on the control instruction, so that the behavior scene adaptive to the electric appliance is created for different users, the corresponding intelligent electric appliance is intelligently controlled to execute the corresponding operation according to the behavior habit and the living scene, the convenience and the efficiency of electric appliance interaction are improved, and the accuracy of the operation of the intelligent electric appliance under different scenes is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above.
Any reference to memory, storage, database, or other medium provided herein and used in the embodiments may include non-volatile and/or volatile memory.
Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the scope of the present application.
All the equivalent structures or equivalent processes performed by using the contents of the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields, are included in the scope of protection of the present application.

Claims (10)

1. An interaction method of an intelligent electric appliance is characterized by comprising the following steps:
acquiring voice data of a user;
recognizing the semantics of the voice data;
determining the behavior intention of the user according to the semantics, and matching a behavior scene based on the behavior intention;
acquiring behavior habit information contained in the behavior scene;
and determining an electric appliance to be executed based on the behavior habit information, and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
2. The interaction method of the intelligent electric appliance according to claim 1, wherein the determining of the electric appliance to be executed based on the behavior habit information and the sending of the corresponding control instruction to the electric appliance to be executed comprise:
acquiring behavior data contained in the behavior habit information;
extracting the electric appliance to be executed and the operation information of the electric appliance to be executed from the behavior data;
determining a control instruction of the electric appliance to be executed according to the operation information;
and sending a corresponding control instruction to the electric appliance to be executed.
3. The interaction method of the intelligent electric appliance according to claim 2, wherein the sending of the corresponding control instruction to the electric appliance to be executed comprises:
acquiring a first control instruction of each electric appliance to be executed;
sequentially outputting the first control instruction to a user;
and after receiving feedback information of the user on the first control instruction, sending the corresponding first control instruction to the electric appliance to be executed.
4. The interaction method of the intelligent electric appliance according to claim 3, wherein the sequentially outputting the first control instructions to the user comprises:
acquiring the starting frequency of the electric appliance to be executed corresponding to each behavior data;
sequencing the electric appliances to be executed according to the starting frequency;
and sequentially outputting the first control instructions corresponding to the electric appliances to be executed to a user according to the sorting sequence.
5. The interaction method for the intelligent electric appliance according to claim 1, after the matching of the behavior scene based on the behavior intention, further comprising:
acquiring a correlation scene of the behavior scene;
acquiring a correlation control instruction of the correlation scene;
and controlling the electric appliance to execute corresponding operation according to the associated control instruction.
6. The interaction method of the intelligent electric appliance according to claim 1, wherein the acquiring of the behavior habit information included in the behavior scene comprises:
recognizing voiceprint features according to the voice data;
determining identity information of the user according to the voiceprint features;
and determining the behavior habit information contained in the behavior scene according to the identity information.
7. The interaction method of the intelligent electrical appliance according to claim 1, wherein after the step of sending the corresponding control instruction to the electrical appliance to be executed to control the electrical appliance to be executed to execute the corresponding operation, the method further comprises the following steps:
acquiring the operation data of the electric appliance to be executed;
and modifying the behavior habit information according to the operation data.
8. An interaction device of an intelligent electric appliance, comprising:
the voice acquisition module is used for acquiring voice data of a user;
the semantic recognition module is used for recognizing the semantics of the voice data;
the scene matching module is used for determining the behavior intention of the user according to the semantics and matching the behavior scene based on the behavior intention;
the behavior habit module is used for acquiring behavior habit information contained in the behavior scene;
and the instruction control module is used for determining an electric appliance to be executed based on the behavior habit information and sending a corresponding control instruction to the electric appliance to be executed so as to control the electric appliance to be executed to execute corresponding operation.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the interaction method of the smart appliance according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the interaction method of the smart appliance according to any one of claims 1 to 7.
CN202210230070.0A 2022-03-10 2022-03-10 Interaction method and device of intelligent electric appliance, computer equipment and medium Pending CN114639379A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210230070.0A CN114639379A (en) 2022-03-10 2022-03-10 Interaction method and device of intelligent electric appliance, computer equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210230070.0A CN114639379A (en) 2022-03-10 2022-03-10 Interaction method and device of intelligent electric appliance, computer equipment and medium

Publications (1)

Publication Number Publication Date
CN114639379A true CN114639379A (en) 2022-06-17

Family

ID=81948133

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210230070.0A Pending CN114639379A (en) 2022-03-10 2022-03-10 Interaction method and device of intelligent electric appliance, computer equipment and medium

Country Status (1)

Country Link
CN (1) CN114639379A (en)

Similar Documents

Publication Publication Date Title
CN109410927A (en) Offline order word parses the audio recognition method combined, device and system with cloud
CN112256825A (en) Medical field multi-turn dialogue intelligent question-answering method and device and computer equipment
CN111447124B (en) Intelligent household control method and intelligent control equipment based on biological feature recognition
US20190164566A1 (en) Emotion recognizing system and method, and smart robot using the same
CN107729433B (en) Audio processing method and device
CN111968645B (en) Personalized voice control system
CN111343028A (en) Distribution network control method and device
CN108897517B (en) Information processing method and electronic equipment
CN113868404A (en) Multi-robot conversation management method, device, equipment and medium
CN113611305A (en) Voice control method, system, device and medium in autonomous learning home scene
CN113096653A (en) Personalized accent voice recognition method and system based on artificial intelligence
CN114360522B (en) Training method of voice awakening model, and detection method and equipment of voice false awakening
CN109741744B (en) AI robot conversation control method and system based on big data search
CN116110112B (en) Self-adaptive adjustment method and device of intelligent switch based on face recognition
CN111933135A (en) Terminal control method and device, intelligent terminal and computer readable storage medium
CN115881126B (en) Switch control method and device based on voice recognition and switch equipment
CN114639379A (en) Interaction method and device of intelligent electric appliance, computer equipment and medium
CN112151034A (en) Voice control method and device of equipment, electronic equipment and storage medium
CN113593565B (en) Intelligent home device management and control method and system
CN111128127A (en) Voice recognition processing method and device
CN110970019A (en) Control method and device of intelligent home system
CN114446325A (en) Information pushing method and device based on emotion recognition, computer equipment and medium
CN116105307A (en) Air conditioner control method, device, electronic equipment and storage medium
CN114925158A (en) Sentence text intention recognition method and device, storage medium and electronic device
CN114627859A (en) Method and system for recognizing electronic photo frame in offline semantic manner

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination