CN107170449A - Intelligent domestic system and its control method - Google Patents
Intelligent domestic system and its control method Download PDFInfo
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- CN107170449A CN107170449A CN201710445903.4A CN201710445903A CN107170449A CN 107170449 A CN107170449 A CN 107170449A CN 201710445903 A CN201710445903 A CN 201710445903A CN 107170449 A CN107170449 A CN 107170449A
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- 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
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- 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
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- 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
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- 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
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- 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
- G10L2015/223—Execution procedure of a spoken command
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- Audiology, Speech & Language Pathology (AREA)
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Abstract
Present invention is disclosed a kind of intelligent domestic system and its control method, the system includes voice semantic cloud unit, semantic conversion cloud unit；Voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module；Semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter；Position judging module by all positions of the position keyword in semantic information and user's controllable device to be grouped, to determine the specific position of target device cluster；Equipment locating module is to by the equipment keyword in semanteme and all controllable devices of the user, to determine the specific device type of target device cluster；Device directive modular converter is used in the device cluster filtered out, and the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme.Intelligent domestic system proposed by the present invention and its control method, using voice as input, can improve portability, the demand of comfortableness of Intelligent housing.
Description
Technical field
The invention belongs to Smart Home technical field, it is related to a kind of house system, more particularly to a kind of intelligent domestic system；
Meanwhile, the present invention also designs a kind of control method of intelligent domestic system.
Background technology
With the increasingly raising of people's living standard, intelligent domestic system enters the life of people；People can pass through
Mobile phone key controls them.No matter people are in where, can be controlled by smart mobile phone in intelligent domestic system
Each equipment.
However, to need people to go manually operated for existing control mode, also without more intelligent control mode.In view of
This, nowadays in the urgent need to designing a kind of new control mode, to overcome the drawbacks described above that existing control mode is present.
The content of the invention
The technical problems to be solved by the invention are：A kind of intelligent domestic system is provided, Intelligent housing can be improved
Portability, the demand of comfortableness.
In addition, the present invention also provides a kind of control method of intelligent domestic system, the portable of Intelligent housing can be improved
Property, the demand of comfortableness.
In order to solve the above technical problems, the present invention is adopted the following technical scheme that：
A kind of intelligent domestic system, the system includes：Voice semantic cloud unit, semantic conversion cloud unit；
The voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module, speech-to-text mould
Block connection word flow parsing semantic modules；
The speech-to-text module by the speech data of acquisition to be converted to lteral data；
Lteral data of the word flow parsing semantic modules to parse the speech-to-text module identification conversion, will
It resolves to semantic information；
The semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter；
The position judging module is to pass through all of the position keyword in semantic information and user's controllable device
Position is grouped, to determine the specific position of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, the packet where its all devices is extracted；In a packet, find and closed with semantic locations
The grouping information of keyword matching, thus draw target device cluster position data in a packet；
The equipment locating module is by the equipment keyword in semanteme and all controllable devices of the user, to come true
Set the goal the specific device type of device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, its all list of devices is extracted；In lists, filter out and semantic device type
The device cluster of Keywords matching, so as to draw the categorical data in target device cluster；
The device directive modular converter is used to the equipment filtered out jointly in position judging module and equipment locating module
In cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces sound
It should instruct and be sent to corresponding device or device cluster；
Implementation is determined after objectives equipment and its type by mapping algorithm according to semantic information, according to control
Instruction and mapping algorithm, produce corresponding control instruction, so that server sends it to target device；
User is by APP input voice informations, and voice messaging uploads to return original semantic stream after voice semantic cloud unit；
Voice flow uploads to voice semantic cloud unit after App typings, turns semantic modules by speech-to-text, word with this, finally
Switch to original semantic stream；
Semantic conversion cloud unit is converted into after control instruction, finds corresponding control device, under send instructions so as to real
Now control.
A kind of intelligent domestic system, the system includes：Voice semantic cloud unit, semantic conversion cloud unit；
The voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module, speech-to-text mould
Block connection word flow parsing semantic modules；
The speech-to-text module by the speech data of acquisition to be converted to lteral data；
Lteral data of the word flow parsing semantic modules to parse the speech-to-text module identification conversion, will
It resolves to semantic information；
The semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter；
The position judging module is to pass through all of the position keyword in semantic information and user's controllable device
Position is grouped, to determine the specific position of target device cluster；
The equipment locating module is by the equipment keyword in semanteme and all controllable devices of the user, to come true
Set the goal the specific device type of device cluster；
The device directive modular converter is used to the equipment filtered out jointly in position judging module and equipment locating module
In cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces sound
It should instruct and be sent to corresponding device or device cluster.
As a preferred embodiment of the present invention, the position judging module implementation is by ergodic algorithm, according to language
User profile entrained by adopted information, determines targeted customer；Then in the user of server database is abstract, its institute is extracted
There is the packet where equipment；In a packet, the grouping information with semantic locations Keywords matching is found, so as to draw target device
Cluster position data in a packet.
As a preferred embodiment of the present invention, the equipment locating module implementation is by ergodic algorithm, according to language
User profile entrained by adopted information, determines targeted customer；Then in the user of server database is abstract, its institute is extracted
Some list of devices；In lists, the device cluster with semantic device type Keywords matching is filtered out, so as to draw target device
Categorical data in cluster.
As a preferred embodiment of the present invention, the device directive modular converter implementation passes through mapping algorithm, root
Determined according to semantic information after objectives equipment and its type, according to control instruction and mapping algorithm, produce corresponding control instruction,
So that server sends it to target device.
As a preferred embodiment of the present invention, user is by APP input voice informations, and voice messaging uploads to voice language
Original semantic stream is returned after adopted cloud unit；Voice flow uploads to voice semantic cloud unit after App typings, is turned with this by voice
Word, word turn semantic modules, finally switch to original semantic stream；
Semantic conversion cloud unit is converted into after control instruction, finds corresponding control device, under send instructions so as to real
Now control.
A kind of control method of intelligent domestic system, the control method includes：
Step S0, user are by APP input voice informations, and voice flow uploads to voice semantic cloud unit after App typings；
Step S1, voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the word of the speech-to-text module identification conversion
Data, are resolved to semantic information；
Step S2, semantic conversion cloud step；Including：
- step S21, position judgment step, pass through the institute of the position keyword in semantic information He user's controllable device
There is position packet, to determine the specific position of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, the packet where its all devices is extracted；In a packet, find and closed with semantic locations
The grouping information of keyword matching, thus draw target device cluster position data in a packet；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, come
Determine the specific device type of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, its all list of devices is extracted；In lists, filter out and semantic device type
The device cluster of Keywords matching, so as to draw the categorical data in target device cluster；
- step S23, device directive switch process, in setting that position judging module and equipment locating module are filtered out jointly
In standby cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server is produced
Response instructs and is sent to corresponding device or device cluster；
Implementation is determined after objectives equipment and its type by mapping algorithm according to semantic information, according to control
Instruction and mapping algorithm, produce corresponding control instruction, so that server sends it to target device；
Step S3, semantic conversion cloud unit send control instruction to corresponding control device, under send instructions so as to realizing
Control.
A kind of control method of intelligent domestic system, the control method includes：
Step S0, user are by APP input voice informations, and voice flow uploads to voice semantic cloud unit after App typings；
Step S1, voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the word of the speech-to-text module identification conversion
Data, are resolved to semantic information；
Step S2, semantic conversion cloud step；Including：
- step S21, position judgment step, pass through the institute of the position keyword in semantic information He user's controllable device
There is position packet, to determine the specific position of target device cluster；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, come
Determine the specific device type of target device cluster；
- step S23, device directive switch process, in setting that position judging module and equipment locating module are filtered out jointly
In standby cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server is produced
Response instructs and is sent to corresponding device or device cluster；
Step S3, semantic conversion cloud unit send control instruction to corresponding control device, under send instructions so as to realizing
Control.
A kind of intelligent home voice control semantic translation system of my invention, can parse what is come by the semantic high in the clouds of voice
Semanteme, is converted into the control instruction of intelligent domestic system particular device, so that simple and effective control our intelligence with voice
Can small household appliances.
The beneficial effects of the present invention are：Intelligent domestic system proposed by the present invention and its control method, are made using voice
For input, portability, the demand of comfortableness of Intelligent housing can be improved.Data network, facility information all it is abstract beyond the clouds,
Semanteme positioning target device group can be passed through.
Brief description of the drawings
Fig. 1 is the composition schematic diagram of intelligent domestic system of the present invention.
Fig. 2 is the composition schematic diagram of intelligent domestic system voice semantic cloud unit of the present invention.
Fig. 3 is the composition schematic diagram of intelligent domestic system semantic conversion cloud unit of the present invention.
Fig. 4 is the operating diagram of intelligent domestic system voice semantic cloud unit of the present invention.
Fig. 5 is the operating diagram of intelligent domestic system semantic conversion cloud unit of the present invention.
Embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment one
Referring to Fig. 1, present invention is disclosed a kind of intelligent domestic system, the system includes：Voice semantic cloud unit 1,
Semantic conversion cloud unit 2.
Referring to Fig. 2, the voice semantic cloud unit 1 includes speech-to-text module 11, word flow parsing meaning of one's words module
12, the connection word flow parsing semantic modules 12 of speech-to-text module 11.
The speech-to-text module 11 by the speech data of acquisition to be converted to lteral data.The word flow
Lteral data of the parsing semantic modules 12 to parse the speech-to-text module identification conversion, is resolved to semantic letter
Breath.The process that implements of voice semantic cloud unit has ready-made implementation, such as can be using the semantic mould of University of Science and Technology's news rumours sound
Block.
Refer to referring to Fig. 3, the semantic conversion cloud unit 2 includes position judging module 21, equipment locating module 22, equipment
Make modular converter 23.
Position judging module 21 by the position keyword in semanteme such as " kitchen ", and user's controllable device all positions
Packet is put, to determine the specific position of target device cluster.
Implementation has used the algorithm of traversal, and the user profile according to entrained by semantic information determines targeted customer；So
Afterwards in the user of server database is abstract, the packet where its all devices is extracted；In a packet, find and semantic position
The grouping information of Keywords matching is put, so that packet (position) where drawing target device cluster.
Equipment locating module 22 by the equipment keyword in semanteme such as " curtain ", and the user all controllable devices,
To determine the specific device type of target device cluster.
Implementation has equally used the algorithm of traversal, and the user profile according to entrained by semantic information determines that target is used
Family；Then in the user of server database is abstract, its all list of devices is extracted；In lists, filter out and language
The device cluster of adopted device type Keywords matching, so as to draw target device cluster (type).
Device directive modular converter 23 is used to the device cluster filtered out jointly in position judging module and equipment locating module
In, to determine the specific Control Cooling of target device cluster, so as to server by the instruction keyword in semanteme such as " opening "
Response is produced to instruct and be sent to corresponding device (cluster).
Implementation has used mapping algorithm, is determined according to semantic information after objectives equipment and its type, according to control
System instruction and mapping algorithm, produce corresponding control instruction, so that server sends it to target device.
Referring to Fig. 4, user is by APP input voice informations, voice messaging is uploaded to after voice semantic cloud unit and returned
Original semantic stream；Voice flow uploads to voice semantic cloud unit 1 after App typings, and language is turned by speech-to-text, word with this
Adopted module, finally switchs to original semantic stream.
Referring to Fig. 5, semantic conversion cloud unit 2 is converted into after control instruction, corresponding control device is found, is issued
Instruction is so as to realize control.
The present invention also discloses a kind of control method of intelligent domestic system, and the control method includes：
【Step S0】User is by APP input voice informations, and voice flow uploads to voice semantic cloud list after App typings
Member；
【Step S1】Voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the word of the speech-to-text module identification conversion
Data, are resolved to semantic information；
【Step S2】Semantic conversion cloud step；Including：
- step S21, position judgment step, pass through the institute of the position keyword in semantic information He user's controllable device
There is position packet, to determine the specific position of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, the packet where its all devices is extracted；In a packet, find and closed with semantic locations
The grouping information of keyword matching, thus draw target device cluster position data in a packet；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, come
Determine the specific device type of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then exist
During the user of server database is abstract, its all list of devices is extracted；In lists, filter out and semantic device type
The device cluster of Keywords matching, so as to draw the categorical data in target device cluster；
- step S23, device directive switch process, in setting that position judging module and equipment locating module are filtered out jointly
In standby cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server is produced
Response instructs and is sent to corresponding device or device cluster；
Implementation is determined after objectives equipment and its type by mapping algorithm according to semantic information, according to control
Instruction and mapping algorithm, produce corresponding control instruction, so that server sends it to target device；
【Step S3】Semantic conversion cloud unit sends control instruction to corresponding control device, under send instructions so as to realizing
Control.
Embodiment two
The present invention discloses a kind of intelligent domestic system, and the system includes：Voice semantic cloud unit, semantic conversion cloud list
Member.
The voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module, speech-to-text mould
Block connection word flow parsing semantic modules.Voice semantic cloud unit includes natural language learning and machine learning this 2 algorithm realities
It is existing.
The speech-to-text module by the speech data of acquisition to be converted to lteral data.The word flow solution
Lteral data of the analysis semantic modules to parse the speech-to-text module identification conversion, is resolved to semantic information.
The semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter.
The position judging module is to pass through all of the position keyword in semantic information and user's controllable device
Position is grouped, to determine the specific position of target device cluster.
The equipment locating module is by the equipment keyword in semanteme and all controllable devices of the user, to come true
Set the goal the specific device type of device cluster.
The device directive modular converter is used to the equipment filtered out jointly in position judging module and equipment locating module
In cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces sound
It should instruct and be sent to corresponding device or device cluster.
The present invention also discloses a kind of control method of intelligent domestic system, and the control method includes：
【Step S0】User is by APP input voice informations, and voice flow uploads to voice semantic cloud list after App typings
Member；
【Step S1】Voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the word of the speech-to-text module identification conversion
Data, are resolved to semantic information；
【Step S2】Semantic conversion cloud step；Including：
- step S21, position judgment step, pass through the institute of the position keyword in semantic information He user's controllable device
There is position packet, to determine the specific position of target device cluster；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, come
Determine the specific device type of target device cluster；
- step S23, device directive switch process, in setting that position judging module and equipment locating module are filtered out jointly
In standby cluster, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server is produced
Response instructs and is sent to corresponding device or device cluster；
【Step S3】Semantic conversion cloud unit sends control instruction to corresponding control device, under send instructions so as to realizing
Control.
In summary, intelligent domestic system proposed by the present invention and its control method, using voice as input, can be improved
The portability of Intelligent housing, the demand of comfortableness.Data network, facility information all it is abstract beyond the clouds, can be fixed by semanteme
Position target device group.
Here description of the invention and application be illustrative, be not wishing to limit the scope of the invention to above-described embodiment
In.The deformation and change of embodiments disclosed herein are possible, real for those skilled in the art
The replacement and equivalent various parts for applying example are known.It should be appreciated by the person skilled in the art that not departing from the present invention
Spirit or essential characteristics in the case of, the present invention can in other forms, structure, arrangement, ratio, and with other components,
Material and part are realized.In the case where not departing from scope and spirit of the present invention, embodiments disclosed herein can be entered
The other deformations of row and change.
Claims (8)
1. a kind of intelligent domestic system, it is characterised in that the system includes：Voice semantic cloud unit, semantic conversion cloud unit；
The voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module, and speech-to-text module connects
Connect word flow parsing semantic modules；
The speech-to-text module by the speech data of acquisition to be converted to lteral data；
Lteral data of the word flow parsing semantic modules to parse the speech-to-text module identification conversion, is solved
Analyse as semantic information；
The semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter；
The position judging module is to all positions by the position keyword in semantic information He user's controllable device
Packet, to determine the specific position of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then in service
During the user of device database is abstract, the packet where its all devices is extracted；In a packet, find and semantic locations keyword
The grouping information of matching, thus draw target device cluster position data in a packet；
The equipment locating module is to by the equipment keyword in semanteme and all controllable devices of the user, to determine mesh
The specific device type of marking device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then in service
During the user of device database is abstract, its all list of devices is extracted；In lists, filter out and semantic device type is crucial
The device cluster of word matching, so as to draw the categorical data in target device cluster；
The device directive modular converter is used in the device cluster that position judging module and equipment locating module are filtered out jointly,
The specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces response instruction
And it is sent to corresponding device or device cluster；
Implementation is determined after objectives equipment and its type by mapping algorithm according to semantic information, according to control instruction
And mapping algorithm, corresponding control instruction is produced, so that server sends it to target device；
User is by APP input voice informations, and voice messaging uploads to return original semantic stream after voice semantic cloud unit；Voice
Stream uploads to voice semantic cloud unit after App typings, turns semantic modules by speech-to-text, word with this, finally switchs to
Original semantic stream；
Semantic conversion cloud unit is converted into after control instruction, finds corresponding control device, under send instructions so as to realizing control
System.
2. a kind of intelligent domestic system, it is characterised in that the system includes：Voice semantic cloud unit, semantic conversion cloud unit；
The voice semantic cloud unit includes speech-to-text module, word flow parsing meaning of one's words module, and speech-to-text module connects
Connect word flow parsing semantic modules；
The speech-to-text module by the speech data of acquisition to be converted to lteral data；
Lteral data of the word flow parsing semantic modules to parse the speech-to-text module identification conversion, is solved
Analyse as semantic information；
The semantic conversion cloud unit includes position judging module, equipment locating module, device directive modular converter；
The position judging module is to all positions by the position keyword in semantic information He user's controllable device
Packet, to determine the specific position of target device cluster；
The equipment locating module is to by the equipment keyword in semanteme and all controllable devices of the user, to determine mesh
The specific device type of marking device cluster；
The device directive modular converter is used in the device cluster that position judging module and equipment locating module are filtered out jointly,
The specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces response instruction
And it is sent to corresponding device or device cluster.
3. intelligent domestic system according to claim 2, it is characterised in that：
The position judging module implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines mesh
Mark user；Then in the user of server database is abstract, the packet where its all devices is extracted；In a packet, look for
To the grouping information with semantic locations Keywords matching, thus draw target device cluster position data in a packet.
4. intelligent domestic system according to claim 2, it is characterised in that：
The equipment locating module implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines mesh
Mark user；Then in the user of server database is abstract, its all list of devices is extracted；In lists, filter out
With the device cluster of semantic device type Keywords matching, so as to draw the categorical data in target device cluster.
5. intelligent domestic system according to claim 2, it is characterised in that：
The device directive modular converter implementation by mapping algorithm, according to semantic information determine objectives equipment and its
After type, according to control instruction and mapping algorithm, corresponding control instruction is produced, so that server sends it to target device.
6. intelligent domestic system according to claim 2, it is characterised in that：
User is by APP input voice informations, and voice messaging uploads to return original semantic stream after voice semantic cloud unit；Voice
Stream uploads to voice semantic cloud unit after App typings, turns semantic modules by speech-to-text, word with this, finally switchs to
Original semantic stream；
Semantic conversion cloud unit is converted into after control instruction, finds corresponding control device, under send instructions so as to realizing control
System.
7. a kind of control method of intelligent domestic system, it is characterised in that the control method includes：
Step S0, user are by APP input voice informations, and voice flow uploads to voice semantic cloud unit after App typings；
Step S1, voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the lteral data of the speech-to-text module identification conversion,
Resolved to semantic information；
Step S2, semantic conversion cloud step；Including：
- step S21, position judgment step, pass through all positions of the position keyword in semantic information He user's controllable device
Packet is put, to determine the specific position of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then in service
During the user of device database is abstract, the packet where its all devices is extracted；In a packet, find and semantic locations keyword
The grouping information of matching, thus draw target device cluster position data in a packet；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, to determine
The specific device type of target device cluster；
Implementation is by ergodic algorithm, and the user profile according to entrained by semantic information determines targeted customer；Then in service
During the user of device database is abstract, its all list of devices is extracted；In lists, filter out and semantic device type is crucial
The device cluster of word matching, so as to draw the categorical data in target device cluster；
- step S23, device directive switch process, the device cluster filtered out jointly in position judging module and equipment locating module
In, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces response
Instruct and be sent to corresponding device or device cluster；
Implementation is determined after objectives equipment and its type by mapping algorithm according to semantic information, according to control instruction
And mapping algorithm, corresponding control instruction is produced, so that server sends it to target device；
Step S3, semantic conversion cloud unit send control instruction to corresponding control device, under send instructions so as to realizing control.
8. a kind of control method of intelligent domestic system, it is characterised in that the control method includes：
Step S0, user are by APP input voice informations, and voice flow uploads to voice semantic cloud unit after App typings；
Step S1, voice semantic cloud step；Including：
- step S11, voice to text step, lteral data is converted to by the speech data of acquisition；
- step S12, the semantic step of word flow parsing, parse the lteral data of the speech-to-text module identification conversion,
Resolved to semantic information；
Step S2, semantic conversion cloud step；Including：
- step S21, position judgment step, pass through all positions of the position keyword in semantic information He user's controllable device
Packet is put, to determine the specific position of target device cluster；
- step S22, equipment positioning step, by the equipment keyword in semanteme and all controllable devices of the user, to determine
The specific device type of target device cluster；
- step S23, device directive switch process, the device cluster filtered out jointly in position judging module and equipment locating module
In, the specific Control Cooling of target device cluster is determined by the instruction keyword in semanteme, so that server produces response
Instruct and be sent to corresponding device or device cluster；
Step S3, semantic conversion cloud unit send control instruction to corresponding control device, under send instructions so as to realizing control.
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