CN112331213A - Intelligent household equipment control method and device, electronic equipment and storage medium - Google Patents
Intelligent household equipment control method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112331213A CN112331213A CN202011229126.8A CN202011229126A CN112331213A CN 112331213 A CN112331213 A CN 112331213A CN 202011229126 A CN202011229126 A CN 202011229126A CN 112331213 A CN112331213 A CN 112331213A
- Authority
- CN
- China
- Prior art keywords
- voice data
- target
- target voice
- equipment
- execution result
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 76
- 238000004458 analytical method Methods 0.000 claims abstract description 176
- 230000004044 response Effects 0.000 claims abstract description 40
- 230000006855 networking Effects 0.000 claims abstract description 38
- 230000002159 abnormal effect Effects 0.000 claims abstract description 21
- 230000000875 corresponding effect Effects 0.000 description 19
- 230000001276 controlling effect Effects 0.000 description 16
- 230000008569 process Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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 TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/225—Feedback of the input speech
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Automation & Control Theory (AREA)
- Artificial Intelligence (AREA)
- Telephonic Communication Services (AREA)
- Selective Calling Equipment (AREA)
Abstract
The embodiment of the application discloses a method and a device for controlling intelligent household equipment, electronic equipment and a storage medium, and relates to the field of intelligent household, wherein the method comprises the following steps: acquiring target voice data and analyzing the voice data; judging whether the network connection state with the semantic analysis server is normal or not; when the target voice data is abnormal, determining whether the target voice data is successfully analyzed; if the target voice data is not successfully analyzed, the target voice data is sent to the control equipment which is in a normal networking state with the semantic analysis server so as to instruct the control equipment to obtain a first analysis result corresponding to the target voice data, and an execution result obtained after the first analysis result is sent to the target intelligent household equipment is fed back; receiving the execution result, and outputting response information to the target voice data based on the execution result. According to the method, the target voice data is analyzed by the control equipment under the condition that the network connection state with the semantic analysis server is abnormal, so that the analysis of the voice data can be more controllable.
Description
Technical Field
The present application relates to the field of smart home technologies, and in particular, to a method and an apparatus for controlling smart home devices, an electronic device, and a storage medium.
Background
Along with the progress of science and technology, smart home is also popularized in people's daily life, and more users can all select to use smart home to promote the quality of life of oneself. In order to realize the control of the smart home devices, a plurality of control devices can be simultaneously equipped in a user's home, and how to better manage the smart home devices through the control devices is a problem to be solved urgently.
Disclosure of Invention
In view of the above problems, the present application provides a method and an apparatus for controlling smart home devices, an electronic device, and a storage medium to solve the above problems.
In a first aspect, an embodiment of the present application provides a method for controlling smart home devices, where the method for controlling smart home devices includes: acquiring target voice data and analyzing the voice data; judging whether the network connection state with the semantic analysis server is normal or not; when the target voice data is abnormal, determining whether the target voice data is successfully analyzed; if the target voice data is not successfully analyzed, the target voice data is sent to the control equipment which is in a normal networking state with the semantic analysis server so as to instruct the control equipment to obtain a first analysis result corresponding to the target voice data, and an execution result obtained after the first analysis result is sent to the target intelligent household equipment is fed back; receiving the execution result, and outputting response information to the target voice data based on the execution result.
Further, the judging whether the network connection state with the semantic analysis server is normal includes: acquiring a first distance between the target voice data and a user and determining whether the first distance is smaller than a preset distance; and when the first distance is smaller than the preset distance, executing network connection state judgment operation.
Further, if the analysis is successful and a second analysis result is obtained, the second analysis result is sent to the target intelligent household equipment; and receiving an execution result of the target intelligent household equipment on the second analysis result, and outputting response information to the target voice data based on the execution result of the second analysis result.
Further, the sending the target voice data to the control device in a normal networking state with the semantic analysis server includes: when a plurality of candidate control devices in a normal networking state with the semantic analysis server exist, acquiring the network state of each candidate control device and the semantic analysis server, and taking the candidate control device with the optimal network state as a target control device; and transmitting the target voice data to the target control device.
Further, the sending the target voice data to the control device in a normal networking state with the semantic analysis server includes: when a plurality of candidate control devices in a normal networking state with the semantic analysis server exist, determining the candidate control device closest to the user, and taking the candidate control device as a target control device; and transmitting the target voice data to the target control device.
Further, when the control equipment does not exist, prompt information is output, and a user is informed that the control equipment which is in a normal networking state with the semantic analysis server does not exist through the prompt information.
Further, receiving an execution result and outputting response information to the target voice data based on the execution result, including: and determining whether an execution result sent by the control equipment is received within a preset time length, and if so, outputting response information to the target voice data based on the execution result.
In a second aspect, an embodiment of the present application provides an intelligent home device control apparatus, where the intelligent home device control apparatus for an electronic device includes: the device comprises an acquisition module, a judgment module, a determination module, a sending module and a response module. The acquisition module is used for acquiring target voice data and analyzing the voice data; and the judging module is used for judging whether the network connection state with the semantic analysis server is normal or not. And the determining module is used for determining whether the target voice data is successfully analyzed or not when the target voice data is abnormal. And the sending module is used for sending the target voice data to the control equipment which is in a normal networking state with the semantic analysis server if the analysis is not successful so as to indicate the control equipment to obtain a first analysis result corresponding to the target voice data and feed back an execution result after the first analysis result is sent to the target intelligent household equipment. And the response module is used for receiving the execution result and outputting response information to the target voice data based on the execution result.
In a third aspect, the present application provides an electronic device, comprising: a memory; one or more processors coupled with the memory; wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having program code stored therein, the program code being invoked by a processor to perform the method of the first aspect.
The embodiment of the application provides a method and a device for controlling intelligent household equipment, electronic equipment and a storage medium, the method can analyze the voice data when acquiring the target voice data, then judge whether the network connection state with the semantic analysis server is normal, if the network connection state with the semantic analysis server is abnormal, whether the target voice data can be successfully analyzed is determined, if the parsing is not successful, the target voice data is sent to the control equipment of which the semantic parsing server is in a normal networking state, the method comprises the steps that the control equipment is indicated to obtain a first analysis result corresponding to target voice data, the first analysis result is fed back to an execution result after being sent to the target intelligent home equipment, and finally the execution result sent by the control equipment can be received and response information is output to the target voice data based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a flowchart of a method for controlling an intelligent home device according to an embodiment of the present application.
Fig. 2 shows a flowchart of a method for controlling smart home devices according to another embodiment of the present application.
Fig. 3 shows a flowchart of a method for controlling a smart home device according to another embodiment of the present application.
Fig. 4 shows a block diagram of a smart home device control apparatus according to an embodiment of the present application;
fig. 5 shows a block diagram of a determining module in an intelligent home device control apparatus according to an embodiment of the present application;
fig. 6 shows a block diagram of a sending module in an intelligent home device control apparatus according to an embodiment of the present application;
fig. 7 shows another block diagram of the smart home device control apparatus according to the embodiment of the present application;
fig. 8 shows a block diagram of a structure for executing a smart home device control method according to an embodiment of the present application.
Fig. 9 shows a storage unit, according to an embodiment of the present application, for storing or carrying program codes for implementing a smart home device control method according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The intelligent home is characterized in that a home is used as a platform, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and a multimedia information technology, an efficient management system of home facilities and family schedule affairs is constructed, home safety, convenience, comfortableness and artistry are improved, and an environment-friendly and energy-saving living environment is realized. Along with the popularization of smart homes, more and more users begin to install a plurality of control devices at home, the control devices are in the same networking, the users can control other smart home devices more simply and rapidly through the control devices, however, when the control devices are in the situation of network disconnection or poor network, the control devices cannot control the smart home devices better, and the use experience of the users is also influenced.
In order to solve the above problems, the inventors have made long-term research and propose a method and an apparatus for controlling smart home devices, an electronic device, and a storage medium in the embodiments of the present application. The method comprises the steps of analyzing voice data when the target voice data is obtained, judging whether the network connection state of a semantic analysis server is normal or not, if the network connection state of the semantic analysis server is abnormal, determining whether the target voice data can be successfully analyzed, if the target voice data cannot be successfully analyzed, sending the target voice data to control equipment with the semantic analysis server in a normal networking state, indicating the control equipment to obtain a first analysis result, feeding back an execution result after the first analysis result is sent to target intelligent household equipment, and finally receiving the execution result sent by the control equipment and outputting response information based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a method for controlling an intelligent home device according to an embodiment of the present application is shown, and it can be seen from fig. 1 that the method includes steps S110 to S150.
Step S110: and acquiring target voice data and analyzing the voice data.
The method for controlling the intelligent home equipment, provided by the embodiment of the application, can be applied to electronic equipment, the electronic equipment can be a gateway or control equipment such as an intelligent home control panel, target voice data can be intelligent home equipment control voice input by a user based on the electronic equipment, and the target voice data comprises keywords for controlling the intelligent home equipment. For example, "to want to turn on an air conditioner," where "turning on the air conditioner" is a keyword for controlling the air conditioner of the smart home device.
As one mode, a voice acquisition device may be disposed on the electronic device, and the voice acquisition device may acquire voice data input by a user. After the electronic equipment acquires the target voice data through the voice acquisition device, whether the voice data is valid voice data or not can be judged firstly, if the voice data is valid voice data, voice data preprocessing is carried out on the valid voice data, namely, denoising, filtering and other processing are carried out on the voice data, and therefore the target voice data are acquired. In addition, if the voice data is not valid voice data, the electronic device may send a prompt message, and instruct the user to input valid voice data again through the prompt message, in the process, the electronic device may record the number of times that the user inputs the voice data within a specified duration, and when the number of times is greater than the specified number of times, the electronic device may turn on the image acquisition device and instruct the user to input a specified action or gesture so as to control the smart home device. Therefore, in the embodiment of the application, an image capturing device may be configured on the electronic device, and the image capturing device may capture an image of a motion or a gesture input by a user.
In other embodiments, an input mode selection control may be configured on the electronic device, and when the user sets the input mode as voice input, the electronic device may collect voice data input by the user; when the user sets the input mode as image input, the electronic equipment can acquire image data input by the user; when the user sets the input mode to the integrated mode, the electronic device may simultaneously capture image data and voice data input by the user. According to the embodiment of the application, different input modes are introduced, and services can be provided for different user groups. For example, when the user is a person who has lost the language function, it is possible to select a voice input mode, and when the user is a person who has lost the language function, it is possible to select an image input mode, and the like.
Specifically, the electronic device may first perform an Automatic Speech Recognition (ASR) technique on the target Speech data, that is, convert the target Speech data into a text, and then perform a Natural Speech Understanding operation (NLU) on the text obtained by the Automatic Speech Recognition to analyze the target Speech data, so as to obtain a first analysis result, it should be noted that, after the target Speech data is obtained, the electronic device may first determine whether a network connection state between the electronic device and the semantic analysis server is normal, and determine whether the electronic device can successfully analyze the target Speech data, that is, enter step S120.
Step S120: and judging whether the network connection state with the semantic analysis server is normal or not, and determining whether the target voice data is successfully analyzed or not.
In the embodiment of the application, the semantic analysis server can be a cloud server, a database server, a network access server and the like, the electronic device can be connected with the semantic analysis server in a wired or wireless connection mode, after the electronic device is connected with the semantic analysis server, the electronic device can download data from the semantic analysis server and also can upload local data to the semantic analysis server, and the semantic analysis server is used for performing voice recognition, natural voice understanding and the like on target voice data. In addition, the parsing capacity of the semantic parsing server for the target voice data is greater than that of the electronic equipment for the target voice data.
As one mode, the electronic device may determine whether a network connection state between the electronic device and the semantic analysis server is normal, where whether the network connection state is normal includes whether a network state between the electronic device and the semantic analysis server is in a disconnected state. In addition, whether the network state between the electronic device and the semantic analysis server is in a weak network state or not is also included.
In some embodiments, when it is determined that the network state between the electronic device and the semantic analysis server is in a normal state, the target speech data is sent to the semantic analysis server, and the semantic analysis server is instructed to analyze the target speech data to obtain a second analysis result. In other words, when the network state between the electronic device and the semantic analysis server is normal, the electronic device and the semantic analysis server can simultaneously analyze the target voice data, and when the time for the electronic device to obtain the analysis result is earlier than the time for the server to obtain the analysis result, the analysis result obtained by the electronic device is used as the target analysis result, and the target intelligent home equipment is instructed to execute the target analysis result. In addition, when the network state between the electronic device and the semantic parsing server is in an abnormal state, the electronic device may determine whether it can successfully parse the target voice data.
In some embodiments, when the network state between the electronic device and the semantic analysis server is in a disconnected state or in a weak network state, the application may determine whether the electronic device can successfully analyze the target voice data, and if the electronic device can successfully analyze the target voice data, take an analysis result obtained by the electronic device as a second analysis result, and send the second analysis result to the target smart home device, that is, enter step S130. And if the electronic equipment does not successfully analyze the target voice data, sending the target voice data to the control equipment of which the semantic analysis server is in a normal networking state, indicating the control equipment to acquire a first analysis result, feeding back an execution result after the first analysis result is sent to the target intelligent household equipment, and entering the step S140.
In other embodiments, determining whether the target speech data was successfully parsed may include: the electronic equipment firstly carries out automatic voice recognition on the target voice data to obtain a target text, then determines the character length corresponding to the target text, judges whether the character length is greater than a character length threshold value on the basis, and if so, determines that the electronic equipment cannot successfully analyze the target voice data; and if the word length corresponding to the target text is smaller than or equal to the word length threshold, determining that the electronic equipment can successfully analyze the target voice data.
In other embodiments, when it is determined that the word length corresponding to the target text is less than or equal to the word length threshold, the application may further determine whether the target speech data is standard speech data, and if the target speech data is not standard speech data, determine that the electronic device cannot successfully parse the target speech data. The standard voice data may be a designated language, that is, when the language corresponding to the target text is not the designated voice, it is determined that the electronic device cannot successfully parse the target voice data. For example, the speech data input by the user is a northeast dialect, which is different from the chinese language of the designated language, and at this time, the electronic device cannot successfully parse the target speech data, and needs to parse the target speech data through the semantic parsing server. And when the language corresponding to the target text is the designated language, determining that the electronic equipment can successfully analyze the target voice data.
In other embodiments, when the language corresponding to the target text is the designated language, the electronic device may further obtain a matching degree between the target text and a preset text, and then determine whether the matching degree is greater than a matching threshold, and if so, determine that the electronic device can successfully analyze the target voice data; and if the target voice data is smaller than or equal to the matching threshold, determining that the electronic equipment cannot successfully analyze the target voice data. For example, if the preset text is "turn on the air conditioner", the target text corresponding to the target voice data is "i want to turn on the air", the matching threshold is 70%, and the matching degree obtained through calculation is 50%, it can be seen that the matching degree is smaller than the matching threshold, and at this time, it can be determined that the electronic device cannot successfully analyze the target voice data.
In other embodiments, when it is determined that the matching degree is greater than the matching threshold, the electronic device may also turn on the image acquisition device to acquire identity information corresponding to the user, and determine whether the user belongs to a designated user according to the identity information, and if it is determined that the user is the designated user, it is determined that the electronic device can successfully analyze the target voice data; and if the user is not determined to be the designated user, determining that the electronic equipment cannot successfully analyze the target voice data.
In other embodiments, after the target voice data is obtained, the electronic device may also determine whether the target voice data can be analyzed normally, that is, determine whether the voice data analysis module can work normally, and if the voice data analysis module cannot work normally, determine that the electronic device cannot analyze the target voice data successfully; and if the voice data analysis module can work normally, determining that the electronic equipment can successfully analyze the target voice data.
It should be noted that the order of the above-mentioned limiting conditions (the condition for determining whether the target voice data can be successfully analyzed) may be set according to actual conditions, that is, it may be determined whether the user is a designated user, then it is determined whether the voice data is standard voice data, and then it is determined whether the text length corresponding to the target voice data is greater than a text length threshold; or determining whether the voice data is standard voice data, then determining whether the character length corresponding to the target voice data is greater than the character length threshold, and then judging whether the user is a designated user, and the like. In addition, the above-mentioned various conditions can be combined at will, and the order is not limited, and can be selected according to the actual situation, which is not described in detail here.
Step S130: and sending the second analysis result to the target intelligent household equipment.
In the embodiment of the application, when the electronic device can successfully analyze the target voice data, the electronic device can send the second analysis result obtained by the electronic device to the target intelligent household device, and the target intelligent household device can return the execution result after executing the corresponding action according to the second analysis result, wherein the target intelligent household device can be a television, an air conditioner, a refrigerator, a clothes hanger, a kettle and other intelligent devices. And the electronic equipment can receive the action execution result transmitted by the target intelligent household equipment and output response information based on the execution result. For example, the analysis result sent by the control panel to the target smart home device is to turn on the air conditioner, after the air conditioner performs the turn-on operation, the execution result that the turn-on is successful is transmitted to the control panel, and at this time, the control panel outputs a response message that the air conditioner is turned on.
Step S140: and sending the target voice data to the control equipment which is in a normal networking state with the semantic analysis server, indicating the control equipment to obtain a first analysis result, and feeding back an execution result after the first analysis result is sent to the target intelligent household equipment.
In some embodiments, upon determining that the electronic device is unable to successfully parse the target speech data, the application may send the target speech data to a control device, which is in a normal networking state with the semantic parsing server. The electronic equipment sends the target voice data to the control equipment so as to instruct the control equipment to acquire a first analysis result corresponding to the target voice data and feed back an execution result of the first analysis result sent to the target intelligent household equipment.
In the embodiment of the present application, the types of the control device and the electronic device may be the same, that is, when the electronic device is a gateway, the control device may be the gateway; when the electronic device is an intelligent home control panel, the control device may be an intelligent home control panel. In addition, the types of the control device and the electronic device may be different, that is, when the electronic device is a gateway, the control device may be an intelligent home control panel; when the electronic device is a smart home control panel, the control device may be a gateway. The type of the control device and the electronic device is not specifically limited, and may be set according to the actual situation of the user.
It should be noted that the control device and the electronic device are not the same device, and in the present application, the electronic device may be referred to as a first control device, and the control device may be referred to as a second control device, and when the first control device cannot successfully parse the target voice data, the target voice data may be sent to the second control device, and the second control device and the semantic parsing server are in a normal networking state. After receiving the target voice data sent by the first control device, the second control device can determine whether the target voice data can be successfully analyzed or not, and if the target voice data can be successfully analyzed, the second control device can directly analyze the target voice data and send an analysis result obtained by the second control device to the target intelligent home device. If the second control equipment cannot successfully analyze the target voice data, the target voice data are sent to a semantic analysis server, the semantic analysis server is indicated to analyze the target voice data to obtain a first analysis result, then the semantic analysis server can send the first analysis result to the second control equipment, the second control equipment can control the target intelligent home equipment to execute corresponding operation according to the first analysis result, and then the second control equipment can feed back the acquired execution result to the first control equipment.
As a mode, after the target smart home device executes the preset operation according to the first analysis result sent by the second control device, the execution result is sent to the second control device, and the second control device feeds back the execution result to the first control device. After receiving the execution result fed back by the second control device, the first control device may output response information based on the execution result, that is, proceed to step S150.
Step S150: and receiving an execution result and outputting response information based on the execution result.
As one mode, the electronic device may receive the execution result transmitted by the control device and then output response information to the target voice data based on the execution result. Wherein, the response information can be at least one of sound, image or acousto-optic combination. For example, the target voice data input by the user is "turn on the air conditioner", after the electronic device sends the target voice data to the control device, the control device can analyze the target voice data and then send an analysis result to the air conditioner, after the air conditioner executes corresponding operation according to the analysis result, the execution result is fed back to the electronic device through the control device, and at this time, the electronic device can inform the user of the success of turning on the air conditioner in a voice prompt mode.
According to the intelligent home equipment control method provided by the embodiment, when target voice data is obtained, the voice data can be analyzed, then whether the network connection state with the semantic analysis server is normal is judged, if the network connection state with the semantic analysis server is abnormal, whether the target voice data can be successfully analyzed is determined, if the target voice data cannot be successfully analyzed, the target voice data is sent to the control equipment with the semantic analysis server in a normal networking state, the control equipment is instructed to obtain a first analysis result, an execution result after the first analysis result is sent to the target intelligent home equipment is fed back, and finally the method can receive the execution result sent by the control equipment and output response information based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable.
Referring to fig. 2, a flowchart of a method for controlling a smart home device according to another embodiment of the present application is shown, and it can be seen from fig. 2 that the method includes steps S210 to S270.
Step S210: and acquiring target voice data, and acquiring a first distance between the target voice data and a user according to the target voice data.
In some embodiments, the electronic device is located in a networking, the networking may include a plurality of electronic devices, each of the electronic devices may collect voice data in an environment, and in order to more accurately control the smart home device, the electronic device may first obtain a distance between the electronic device and a user who sends out target voice data after obtaining the target voice data. The electronic device may determine a first distance between the electronic device and the user by using the distance sensor, and may also obtain the first distance between the electronic device and the user by using the target voice data. After acquiring the first distance between the target voice data and the user, the electronic device may determine whether the first distance is smaller than a preset distance, that is, the step S220 is performed.
In other embodiments, when the electronic device acquires the target voice data, the electronic device may also acquire a distance between each control device and the user, determine whether the distance between the control device and the user is a minimum distance, if so, analyze the target voice data, and if not, determine the control device closest to the user, and instruct the control device to perform operations such as voice analysis and information response.
Step S220: it is determined whether the first distance is less than a preset distance.
In some embodiments, if the first distance between the electronic device and the user is less than the preset distance, the target voice data is parsed, i.e., step S230 is performed. And if the first distance between the electronic equipment and the user is greater than or equal to the preset distance, detecting whether response information output by other control equipment is received in a preset time period, and if the response information output by other control equipment is received in the preset time period, analyzing the target voice data is not required. And if the response information output by other control equipment is not received within the preset time period, analyzing the target voice data. In addition, if the first distance between the electronic device and the user is greater than or equal to the preset distance, the electronic device may detect whether the target voice data is input again, that is, the process proceeds to step S210.
Step S230: and analyzing the target voice data.
Step S240: and judging whether the network connection state with the semantic analysis server is normal or not, and determining whether the target voice data is successfully analyzed or not.
Step S250: and sending the second analysis result to the target intelligent household equipment.
Step S260: and sending the target voice data to the control equipment which is in a normal networking state with the semantic analysis server, indicating the control equipment to obtain a first analysis result, and feeding back an execution result after the first analysis result is sent to the target intelligent household equipment.
In the embodiment of the application, when it is determined that the electronic device cannot successfully analyze the target voice data, the target voice data can be sent to the control device, the electronic device can determine whether the control device in a normal networking state with the semantic analysis server exists in networking, if yes, the target voice data is sent to the control device, if not, prompt information is output, and the user is informed of the fact that the control device in a normal networking state with the semantic analysis server does not exist through the prompt information.
Step S270: and receiving an execution result and outputting response information based on the execution result.
In the embodiment of the application, after the electronic device sends the target voice data to the control device which is in a normal networking state with the semantic analysis server, whether an execution result fed back by the control device is received within a preset time period or not can be detected, and if the execution result is received, response information is output based on the execution result. The response information can be prompt information output by the electronic equipment based on the execution result, and the electronic equipment can provide the operation execution result for the user in time through the response information so that the user can know the equipment control condition more clearly.
According to the intelligent home equipment control method provided by the embodiment, when target voice data is obtained, the voice data can be analyzed, then whether the network connection state with the semantic analysis server is normal is judged, if the network connection state with the semantic analysis server is abnormal, whether the target voice data can be successfully analyzed is determined, if the target voice data cannot be successfully analyzed, the target voice data is sent to the control equipment with the semantic analysis server in a normal networking state, the control equipment is instructed to obtain a first analysis result, an execution result after the first analysis result is sent to the target intelligent home equipment is fed back, and finally the method can receive the execution result sent by the control equipment and output response information based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable. In addition, when the target voice data is acquired, the distance between the electronic equipment and the user can be acquired to determine whether the target voice data is analyzed, the electronic equipment can more accurately analyze the target voice data by judging the distance, and meanwhile when response information is output, the method and the device can also realize near reply, and the use experience of the user can be improved to a certain extent.
Referring to fig. 3, a flowchart of a method for controlling a smart home device according to another embodiment of the present application is shown, and it can be seen from fig. 3 that the method includes steps S310 to S360.
Step S310: and acquiring target voice data and analyzing the voice data.
Step S320: and judging whether the network connection state with the semantic analysis server is normal or not, and determining whether the target voice data is successfully analyzed or not.
Step S330: and sending the second analysis result to the target intelligent household equipment.
Step S340: when a plurality of candidate control devices in a normal networking state with the semantic analysis server exist, the network state of each candidate control device and the semantic analysis server is obtained, and the candidate control device with the optimal network state is used as the target control device.
In some embodiments, when it is determined that the electronic device cannot successfully parse the target voice data, the application may determine whether a candidate control device in a normal networking state with the semantic parsing server exists in the networking, determine whether the candidate devices are multiple if the candidate control device in the normal networking state with the semantic parsing server exists, acquire a network state of each candidate control device and the semantic parsing server if the candidate control devices are multiple, and use the candidate control device with the optimal network state as the target control device. And then, the target voice data is sent to the target control equipment, the control equipment is instructed to acquire the first analysis result, and an execution result obtained after the first analysis result is sent to the target intelligent household equipment is fed back, namely, the step S350 is carried out.
In other embodiments, when there are multiple candidate control devices in a normal networking state with the semantic analysis server, the application may also determine the candidate control device closest to the user, use the candidate control device as a target control device, send the target voice data to the target control device, instruct the control device to obtain the first analysis result, and feed back an execution result after sending the first analysis result to the target smart home device, that is, enter step S350.
In other embodiments, when a plurality of candidate control devices with the optimal network state are determined, the electronic device may also determine the candidate control device closest to the user, use the candidate control device as a target control device, send the target voice data to the target control device, instruct the control device to obtain the first analysis result, and feed back an execution result after sending the first analysis result to the target smart home device, that is, enter step S350.
Step S350: and sending the target voice data to the target control equipment, indicating the control equipment to obtain a first analysis result, and feeding back an execution result after the first analysis result is sent to the target intelligent household equipment.
Step S360: and receiving an execution result and outputting response information based on the execution result.
According to the intelligent home equipment control method provided by the embodiment, when target voice data is obtained, the voice data can be analyzed, then whether the network connection state with the semantic analysis server is normal is judged, if the network connection state with the semantic analysis server is abnormal, whether the target voice data can be successfully analyzed is determined, if the target voice data cannot be successfully analyzed, the target voice data is sent to the control equipment with the semantic analysis server in a normal networking state, the control equipment is instructed to obtain a first analysis result, an execution result after the first analysis result is sent to the target intelligent home equipment is fed back, and finally the method can receive the execution result sent by the control equipment and output response information based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable. In addition, when the electronic equipment is in an abnormal connection state with the semantic analysis server and cannot successfully analyze the target voice data, the target control equipment can be selected from the candidate control equipment, so that the intelligent household equipment can be controlled, the intelligent household equipment can be well controlled even if the electronic equipment is in a disconnected network or weak network state, and the use experience of a user is improved.
Referring to fig. 4, a block diagram of a structure of a smart home device control apparatus according to an embodiment of the present application is shown, where the apparatus 400 includes: an acquisition module 410, a judgment module 420, a determination module 430, a sending module 440, and a response module 450.
The obtaining module 410 is configured to obtain target voice data and analyze the voice data.
The determining module 420 is configured to determine whether a network connection state with the semantic analysis server is normal.
Referring to fig. 5, the determining module 420 may include a distance obtaining unit 421 and an operation executing unit 422.
Specifically, the distance obtaining unit 421 is configured to obtain a first distance between the target speech data and the user, and determine whether the first distance is smaller than a preset distance.
An operation executing unit 422, configured to execute a network connection state determining operation when the first distance is smaller than a preset distance.
The determining module 430 is configured to determine whether the target speech data is successfully parsed, when the target speech data is abnormal.
The sending module 440 is configured to send the target voice data to the control device in a normal networking state with the semantic analysis server if the target voice data is not successfully analyzed, instruct the control device to obtain a first analysis result corresponding to the target voice data, and feed back an execution result after the first analysis result is sent to the target smart home device.
Referring to fig. 6, the sending module 440 may include a device obtaining unit 441 and a data sending unit 442.
Specifically, the device obtaining unit 441 is configured to, when there are multiple candidate control devices in a normal networking state with the semantic analysis server, obtain a network state of each candidate control device and the semantic analysis server, and use a candidate control device with an optimal network state as the target control device.
A data transmitting unit 442 for transmitting the target voice data to the target control apparatus.
The response module 450 is configured to receive the execution result and output response information to the target voice data based on the execution result.
Referring to fig. 7, the apparatus 400 further includes a parsing sending module 460 and a receiving module 470.
Specifically, the analysis sending module 460 is configured to send the second analysis result to the target smart home device if the second analysis result is successfully analyzed and obtained.
The receiving module 470 is configured to receive an execution result of the target smart home device on the second analysis result, and output response information to the target voice data based on the execution result of the second analysis result.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling. In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
To sum up, the embodiment of the application provides a method, a device, an electronic device and a storage medium for controlling an intelligent home device, the method can analyze voice data when the voice data is obtained, then judge whether the network connection state with a semantic analysis server is normal, if the network connection state with the semantic analysis server is abnormal, determine whether the target voice data can be successfully analyzed, if the target voice data cannot be successfully analyzed, send the target voice data to a control device of which the semantic analysis server is in a normal networking state, instruct the control device to obtain a first analysis result, and feed back an execution result after the first analysis result is sent to the target intelligent home device, and finally the application can receive the execution result sent by the control device and output response information based on the execution result. According to the intelligent home equipment control method, when the electronic equipment is connected with the semantic analysis server in an abnormal state and cannot successfully analyze target voice data, the electronic equipment can send the voice data to the control equipment, the control equipment is used for analyzing the target voice data, the control equipment analyzes the target voice data, the stability of semantic analysis can be guaranteed to a certain extent, and the analysis of the target voice data in a weak network or a disconnected network environment is more controllable.
An electronic device provided by the present application will be described with reference to fig. 8.
Referring to fig. 8, based on the foregoing smart home device control method, apparatus, electronic device and storage medium, an embodiment of the present application further provides another electronic device 700 capable of executing the foregoing smart home device control method. The electronic device 700 includes one or more processors 710 (only one shown) and a memory 720 coupled to each other. The memory 720 stores programs that can execute the contents of the foregoing embodiments, and the processor 710 can execute the programs stored in the memory 720, and the memory 720 includes the devices described in the foregoing embodiments.
Processor 710 may include one or more processing cores, among other things. The processor 710 interfaces with various components throughout the electronic device 700 using various interfaces and circuitry to perform various functions of the electronic device 700 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 720 and invoking data stored in the memory 720. Alternatively, the processor 710 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 710 may integrate one or more of a Central Processing Unit (CPU), a video Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 710, but may be implemented by a communication chip.
The Memory 720 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 720 may be used to store instructions, programs, code sets, or instruction sets. The memory 720 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, a video image playing function, etc.), instructions for implementing the various method embodiments described above, and the like. The data storage area may also store data created by the electronic device 700 during use (e.g., phone books, audio-visual data, chat log data), and the like.
It will be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration, and is not intended to limit the structure of the electronic device. For example, electronic device 700 may also include more or fewer components than shown in FIG. 8, or have a different configuration than shown in FIG. 8.
Referring to fig. 9, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 800 has stored therein a program code that can be called by a processor to execute the method described in the above-described method embodiments.
The computer-readable storage medium 800 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 800 includes a non-volatile computer-readable storage medium. The computer readable storage medium 800 has storage space for program code 810 to perform any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 810 may be compressed, for example, in a suitable form.
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, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A smart home device control method is characterized by comprising the following steps:
acquiring target voice data and analyzing the voice data;
judging whether the network connection state with the semantic analysis server is normal or not;
when the target voice data is abnormal, determining whether the target voice data is successfully analyzed;
if the target voice data is not successfully analyzed, the target voice data is sent to the control equipment which is in a normal networking state with the semantic analysis server so as to indicate the control equipment to obtain a first analysis result corresponding to the target voice data, and an execution result obtained after the first analysis result is sent to the target intelligent household equipment is fed back;
and receiving the execution result, and outputting response information to the target voice data based on the execution result.
2. The method of claim 1, wherein the determining whether the network connection state with the semantic analysis server is normal comprises:
acquiring a first distance between the target voice data and a user according to the target voice data, and determining whether the first distance is smaller than a preset distance;
and when the first distance is smaller than the preset distance, executing network connection state judgment operation.
3. The method of claim 1, further comprising:
if the analysis is successful and a second analysis result is obtained, the second analysis result is sent to the target intelligent household equipment;
and receiving an execution result of the target intelligent household equipment on the second analysis result, and outputting response information to the target voice data based on the execution result of the second analysis result.
4. The method of claim 1, wherein the sending the target speech data to a control device in a normally networked state with the semantic parsing server comprises:
when a plurality of candidate control devices in a normal networking state with the semantic analysis server exist, acquiring the network state of each candidate control device and the semantic analysis server, and taking the candidate control device with the optimal network state as the target control device;
and sending the target voice data to the target control equipment.
5. The method of claim 1, wherein the sending the target speech data to a control device in a normally networked state with the semantic parsing server comprises:
when a plurality of candidate control devices in a normal networking state with the semantic analysis server exist, determining the candidate control device closest to the user, and taking the candidate control device as a target control device;
and sending the target voice data to the target control equipment.
6. The method of claim 1, further comprising:
and when the control equipment does not exist, outputting prompt information, and informing a user that the control equipment which is in a normal networking state with the semantic analysis server does not exist through the prompt information.
7. The method of claim 1, wherein receiving the execution result and outputting response information to the target voice data based on the execution result comprises:
and determining whether an execution result sent by the control equipment is received within a preset time length, and if so, outputting response information to the target voice data based on the execution result.
8. The intelligent household equipment control method and device are characterized by comprising the following steps:
the acquisition module is used for acquiring target voice data and analyzing the voice data;
the judging module is used for judging whether the network connection state with the semantic analysis server is normal or not;
the determining module is used for determining whether the target voice data is successfully analyzed or not when the target voice data is abnormal;
the sending module is used for sending the target voice data to the control equipment which is in a normal networking state with the semantic analysis server if the analysis is not successful, so as to instruct the control equipment to obtain a first analysis result corresponding to the target voice data and feed back an execution result after the first analysis result is sent to the target intelligent home equipment;
and the response module is used for receiving the execution result and outputting response information to the target voice data based on the execution result.
9. A server, comprising:
a memory;
one or more processors coupled with the memory;
one or more programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-7.
10. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011229126.8A CN112331213A (en) | 2020-11-06 | 2020-11-06 | Intelligent household equipment control method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011229126.8A CN112331213A (en) | 2020-11-06 | 2020-11-06 | Intelligent household equipment control method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112331213A true CN112331213A (en) | 2021-02-05 |
Family
ID=74315751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011229126.8A Pending CN112331213A (en) | 2020-11-06 | 2020-11-06 | Intelligent household equipment control method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112331213A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112992142A (en) * | 2021-02-25 | 2021-06-18 | 珠海格力电器股份有限公司 | Voice message reply method, device, equipment and medium |
| CN113556376A (en) * | 2021-04-13 | 2021-10-26 | 林润泉 | Equipment monitoring method, system and equipment |
| CN114143133A (en) * | 2021-11-26 | 2022-03-04 | 深圳康佳电子科技有限公司 | Decentralized intelligent household appliance and voice management system thereof |
| CN114338089A (en) * | 2021-12-06 | 2022-04-12 | 科大讯飞股份有限公司 | Anti-attack method, device, equipment and computer readable storage medium |
| CN115002206A (en) * | 2022-04-29 | 2022-09-02 | 青岛海尔科技有限公司 | Control method and device of intelligent equipment, storage medium and electronic device |
| CN115662430A (en) * | 2022-10-28 | 2023-01-31 | 阿波罗智联(北京)科技有限公司 | Input data analysis method and device, electronic equipment and storage medium |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220292A (en) * | 2017-04-25 | 2017-09-29 | 上海庆科信息技术有限公司 | Intelligent dialogue device, reaction type intelligent sound control system and method |
| CN108447480A (en) * | 2018-02-26 | 2018-08-24 | 深圳市晟瑞科技有限公司 | Method, intelligent sound terminal and the network equipment of smart home device control |
| CN108667697A (en) * | 2018-04-28 | 2018-10-16 | 新华三技术有限公司 | Voice control conflict resolution method and device and voice control system |
| US20180308483A1 (en) * | 2017-04-21 | 2018-10-25 | Lg Electronics Inc. | Voice recognition apparatus and voice recognition method |
| CN208271559U (en) * | 2018-02-09 | 2018-12-21 | 上海鑫蓝海自动化科技有限公司 | A kind of test device of voice recognition processing equipment |
| CN109949817A (en) * | 2019-02-19 | 2019-06-28 | 一汽-大众汽车有限公司 | Voice referee method and device based on the double speech recognition engines of dual operating systems |
| CN110246485A (en) * | 2019-05-21 | 2019-09-17 | 平安科技（深圳）有限公司 | Sample data acquisition methods, terminal device and medium based on speech recognition modeling |
| CN110428826A (en) * | 2019-06-28 | 2019-11-08 | 浙江想能睡眠科技股份有限公司 | Intelligent sofa and its control method based on voice control |
| CN110473542A (en) * | 2019-09-06 | 2019-11-19 | 北京安云世纪科技有限公司 | Awakening method, device and the electronic equipment of phonetic order execution function |
| CN111091819A (en) * | 2018-10-08 | 2020-05-01 | 蔚来汽车有限公司 | Voice recognition device and method, voice interaction system and method |
| CN111258224A (en) * | 2018-11-30 | 2020-06-09 | 西安欧思奇软件有限公司 | Intelligent household control method and device, computer equipment and storage medium |
| CN111614529A (en) * | 2020-05-28 | 2020-09-01 | 深圳市欧瑞博科技股份有限公司 | Intelligent household control panel, network management method thereof and electronic equipment |
| CN111710337A (en) * | 2020-06-16 | 2020-09-25 | 睿云联(厦门)网络通讯技术有限公司 | Voice data processing method and device, computer readable medium and electronic equipment |
| CN211669966U (en) * | 2019-06-21 | 2020-10-13 | 河北工程大学 | Intelligent household dialect voice recognition device |
| CN111812995A (en) * | 2020-07-28 | 2020-10-23 | 郑州智利信信息技术有限公司 | Intelligent home control system based on Internet |
| CN111817936A (en) * | 2020-08-12 | 2020-10-23 | 深圳市欧瑞博科技股份有限公司 | Control method and device of intelligent household equipment, electronic equipment and storage medium |
-
2020
- 2020-11-06 CN CN202011229126.8A patent/CN112331213A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180308483A1 (en) * | 2017-04-21 | 2018-10-25 | Lg Electronics Inc. | Voice recognition apparatus and voice recognition method |
| CN107220292A (en) * | 2017-04-25 | 2017-09-29 | 上海庆科信息技术有限公司 | Intelligent dialogue device, reaction type intelligent sound control system and method |
| CN208271559U (en) * | 2018-02-09 | 2018-12-21 | 上海鑫蓝海自动化科技有限公司 | A kind of test device of voice recognition processing equipment |
| CN108447480A (en) * | 2018-02-26 | 2018-08-24 | 深圳市晟瑞科技有限公司 | Method, intelligent sound terminal and the network equipment of smart home device control |
| CN108667697A (en) * | 2018-04-28 | 2018-10-16 | 新华三技术有限公司 | Voice control conflict resolution method and device and voice control system |
| CN111091819A (en) * | 2018-10-08 | 2020-05-01 | 蔚来汽车有限公司 | Voice recognition device and method, voice interaction system and method |
| CN111258224A (en) * | 2018-11-30 | 2020-06-09 | 西安欧思奇软件有限公司 | Intelligent household control method and device, computer equipment and storage medium |
| CN109949817A (en) * | 2019-02-19 | 2019-06-28 | 一汽-大众汽车有限公司 | Voice referee method and device based on the double speech recognition engines of dual operating systems |
| CN110246485A (en) * | 2019-05-21 | 2019-09-17 | 平安科技（深圳）有限公司 | Sample data acquisition methods, terminal device and medium based on speech recognition modeling |
| CN211669966U (en) * | 2019-06-21 | 2020-10-13 | 河北工程大学 | Intelligent household dialect voice recognition device |
| CN110428826A (en) * | 2019-06-28 | 2019-11-08 | 浙江想能睡眠科技股份有限公司 | Intelligent sofa and its control method based on voice control |
| CN110473542A (en) * | 2019-09-06 | 2019-11-19 | 北京安云世纪科技有限公司 | Awakening method, device and the electronic equipment of phonetic order execution function |
| CN111614529A (en) * | 2020-05-28 | 2020-09-01 | 深圳市欧瑞博科技股份有限公司 | Intelligent household control panel, network management method thereof and electronic equipment |
| CN111710337A (en) * | 2020-06-16 | 2020-09-25 | 睿云联(厦门)网络通讯技术有限公司 | Voice data processing method and device, computer readable medium and electronic equipment |
| CN111812995A (en) * | 2020-07-28 | 2020-10-23 | 郑州智利信信息技术有限公司 | Intelligent home control system based on Internet |
| CN111817936A (en) * | 2020-08-12 | 2020-10-23 | 深圳市欧瑞博科技股份有限公司 | Control method and device of intelligent household equipment, electronic equipment and storage medium |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112992142A (en) * | 2021-02-25 | 2021-06-18 | 珠海格力电器股份有限公司 | Voice message reply method, device, equipment and medium |
| CN112992142B (en) * | 2021-02-25 | 2022-08-02 | 珠海格力电器股份有限公司 | Voice message reply method, device, equipment and medium |
| CN113556376A (en) * | 2021-04-13 | 2021-10-26 | 林润泉 | Equipment monitoring method, system and equipment |
| CN113556376B (en) * | 2021-04-13 | 2022-06-03 | 林润泉 | Equipment monitoring method, system and equipment |
| CN114143133A (en) * | 2021-11-26 | 2022-03-04 | 深圳康佳电子科技有限公司 | Decentralized intelligent household appliance and voice management system thereof |
| CN114338089A (en) * | 2021-12-06 | 2022-04-12 | 科大讯飞股份有限公司 | Anti-attack method, device, equipment and computer readable storage medium |
| CN114338089B (en) * | 2021-12-06 | 2024-02-13 | 科大讯飞股份有限公司 | Anti-attack method, device, equipment and computer readable storage medium |
| CN115002206A (en) * | 2022-04-29 | 2022-09-02 | 青岛海尔科技有限公司 | Control method and device of intelligent equipment, storage medium and electronic device |
| CN115002206B (en) * | 2022-04-29 | 2024-01-26 | 青岛海尔科技有限公司 | Control method and device of intelligent equipment, storage medium and electronic device |
| CN115662430A (en) * | 2022-10-28 | 2023-01-31 | 阿波罗智联(北京)科技有限公司 | Input data analysis method and device, electronic equipment and storage medium |
| CN115662430B (en) * | 2022-10-28 | 2024-03-29 | 阿波罗智联(北京)科技有限公司 | Input data analysis method, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112331213A (en) | Intelligent household equipment control method and device, electronic equipment and storage medium | |
| CN112201246B (en) | Intelligent control method and device based on voice, electronic equipment and storage medium | |
| CN111638651A (en) | Intelligent household control panel, setting method thereof, server and storage medium | |
| CN107945796B (en) | Speech recognition method, device, equipment and computer readable medium | |
| KR20170102930A (en) | Method, apparatus, storage medium and apparatus for processing Q & A information | |
| CN112463106A (en) | Voice interaction method, device and equipment based on intelligent screen and storage medium | |
| CN108074571A (en) | Sound control method, system and the storage medium of augmented reality equipment | |
| CN105681318A (en) | Information push method and device based on voice recognition of artificial intelligence | |
| CN108932947B (en) | Voice control method and household appliance | |
| CN106407393A (en) | An information processing method and device for intelligent apparatuses | |
| CN111063353A (en) | Client processing method allowing user-defined voice interactive content and user terminal | |
| CN111326154B (en) | Voice interaction method and device, storage medium and electronic equipment | |
| CN113593544A (en) | Device control method and apparatus, storage medium, and electronic apparatus | |
| CN110262278B (en) | Control method and device of intelligent household electrical appliance and intelligent household electrical appliance | |
| CN113709629A (en) | Frequency response parameter adjusting method, device, equipment and storage medium | |
| CN112331203A (en) | Intelligent household equipment control method and device, electronic equipment and storage medium | |
| CN112420043A (en) | Intelligent awakening method and device based on voice, electronic equipment and storage medium | |
| CN112151034A (en) | Voice control method and device of equipment, electronic equipment and storage medium | |
| CN112019410B (en) | Data importing method and device of intelligent household equipment, server and storage medium | |
| CN112836127B (en) | Method and device for recommending social users, storage medium and electronic equipment | |
| CN113129902B (en) | Voice processing method and device, electronic equipment and storage medium | |
| CN110543556A (en) | Dialogue configuration method, storage medium and electronic equipment | |
| CN112542165A (en) | Voice control method of application program and intelligent terminal | |
| CN112039735A (en) | Configuration data importing method and device of intelligent household equipment, server and storage medium | |
| CN111369985A (en) | Voice interaction method, device, equipment and medium |
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 |