CN208479659U - Behavior prediction voice configures smart home system - Google Patents
Behavior prediction voice configures smart home system Download PDFInfo
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- CN208479659U CN208479659U CN201821287267.3U CN201821287267U CN208479659U CN 208479659 U CN208479659 U CN 208479659U CN 201821287267 U CN201821287267 U CN 201821287267U CN 208479659 U CN208479659 U CN 208479659U
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Abstract
The utility model discloses a kind of behavior prediction voices to configure smart home system, including man-machine interactive system, sensor collection processing system, Control System of Intelligent, central control system and action learning and forecasting system, man-machine interactive system, sensor collection processing system, Control System of Intelligent are connect with central control system respectively, and central control system is connect with action learning with forecasting system.The problem of the utility model solves prior art smart home system scene settings and control planning modification is complicated, and maintenance cost is high, poor user experience.
Description
Technical field
The utility model relates to Smart Home technical fields, particularly relate to a kind of behavior prediction voice configuration smart home system
System.
Background technique
Existing smart home system be all made of mobile phone mobile client or computer client to the control plannings of all devices,
Combine scenes control etc. carries out presetting.This setting means possesses ability in addition to the unit in charge of construction of profession or the fan of minority
Outside being set, most users do not have corresponding knowledge and modify, set.If user is in use, discovery
When presetting scene or control planning is not suitable for oneself, it need to take a significant amount of time and system is learnt, tests ability
A new setting is completed, cost is high, so as to cause very poor user experience.
Utility model content
The utility model proposes a kind of behavior prediction voices to configure smart home system, solves prior art smart home
The problem of system scenarios setting and control planning modification are complicated, at high cost, poor user experience.
The technical solution of the utility model is achieved in that
A kind of behavior prediction voice configures smart home system, including man-machine interactive system, sensor collection processing system,
Control System of Intelligent, central control system and action learning and forecasting system, the man-machine interactive system, sensor collection
Processing system, Control System of Intelligent are connect with the central control system respectively, the central control system and behaviouristics
Habit is connect with forecasting system.
Further, the man-machine interactive system includes the one or more of robot, platform client and intelligent sound,
Control data and setting data to the central control system are sent, and receive all kinds of sensings of the central control system push
Device data or scene settings are to broadcast to user.
Further, the Control System of Intelligent includes but is not limited to Intelligent light system, touch panel, intelligently inserts
Seat, intelligent curtain and intelligent appliance.
Further, the sensor collection processing system include but is not limited to human body detection sensor, door status sensor,
PM2.5 sensor, luminance sensor, smoke sensor device, water sensor and Temperature Humidity Sensor.
Further, the central control system will by forming including but not limited to local gateway and cloud server
The control data and setting data of man-machine interactive system, the sensing data of sensor collection processing system and smart machine control
The status data of system processed is sent to action learning and forecasting system, after the action learning and forecasting system are handled by analysis
Send intelligent scene configuration content to man-machine interactive system and wait for that user confirms, after user's confirmation action learning and forecasting system again
Configuration content transfers to central control system to set corresponding equipment, while central control system sends man-machine interactive system containing taking into account
The control data and setting data come control or are configured to corresponding sensor collection processing system, Control System of Intelligent.
Further, the action learning and forecasting system, it includes but be not limited to local gateway and cloud server group
At, by central control system transmit include but is not limited to sensing data, control data, physical activity data, smart machine
Feedback data and corresponding timing node transfer to deep learning system to carry out deep learning, and final realize understands that the behavior of user is practised
It is used, and predict user each by the behavior of generation, to generate scene settings and return to man-machine interactive system and center control
System processed.
The utility model has the beneficial effects that: solving prior art smart home system scene settings and control planning
The problem of modification is complicated, at high cost, poor user experience.
Detailed description of the invention
In order to illustrate the embodiment of the utility model or the technical proposal in the existing technology more clearly, below will be to embodiment
Or attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
It is some embodiments of the utility model, for those of ordinary skill in the art, in the premise not made the creative labor
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the functional block diagram that the utility model behavior prediction voice configures smart home system.
In figure, 1- man-machine interactive system；2- sensor collection processing system；3- Control System of Intelligent；The control of the center 4-
System processed；5- action learning and forecasting system.
Specific embodiment
The following will be combined with the drawings in the embodiments of the present invention, carries out the technical scheme in the embodiment of the utility model
Clearly and completely describe, it is clear that the described embodiments are only a part of the embodiments of the utility model, rather than whole
Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are without creative efforts
Every other embodiment obtained, fall within the protection scope of the utility model.
As shown in Figure 1, the utility model proposes a kind of behavior prediction voices to configure smart home system, including man-machine friendship
Mutual system 1, sensor collection processing system 2, Control System of Intelligent 3, central control system 4 and action learning and prediction are
System 5, man-machine interactive system 1, sensor collection processing system 2, Control System of Intelligent 3 connect with central control system 4 respectively
It connects, central control system 4 is connect with action learning with forecasting system 5.
Man-machine interactive system 1 includes the one or more of robot, platform client and intelligent sound, sends control data
With setting data to central control system 4, and receive the intelligent scene of the push of central control system 4.Man-machine interactive system 1 is used for
The intelligent scene generated is pushed for user.
Control System of Intelligent 3 includes but is not limited to Intelligent light system, touch panel, intelligent socket, intelligent curtain
And intelligent appliance.
Sensor collection processing system 2 include but is not limited to human body detection sensor, door status sensor, PM2.5 sensor,
Luminance sensor, smoke sensor device, water sensor and Temperature Humidity Sensor.
Central control system 4, by being formed including but not limited to local gateway and cloud server, by man-machine interactive system
1 control data and setting data, the sensing data of sensor collection processing system 2 and Control System of Intelligent 3
Status data is sent to action learning and forecasting system 5, and action learning and forecasting system 5 send intelligent field after handling by analysis
Scape configures content and confirms to man-machine interactive system 1 to user, and action learning and forecasting system 5 are again configuration content after user's confirmation
The central control system 4 is transferred to set corresponding equipment, while central control system 4 contains to take into account and sends man-machine interactive system 1
Control data and the control of setting data are configured to corresponding sensor collection processing system 2, Control System of Intelligent 3.
Action learning and forecasting system 5, it includes but be not limited to local gateway and cloud server composition, center is controlled
What system 4 transmitted includes but is not limited to sensing data, control data, physical activity data, smart machine feedback data and right
Answer timing node that deep learning system is transferred to carry out deep learning, it is final to realize the behavioural habits for understanding user, and predict user
Each is by the behavior of generation, to generate scene settings and return to man-machine interactive system 1 and central control system 4.
This patent by the way that smart machine is classified, control data, sensing data, environmental data, equipment shape
State data etc. give not homologous ray processing, then deep learning system is transferred to extract to the daily behavior rule of user,
Analysis confirms to push scene settings according to the actual conditions of user to user.And system processing passes through client to user
Recommend setting outer, moreover it is possible to set by speech control system to scene
The utility model solves prior art smart home system scene settings and control planning modification is complicated, cost
The problem of height, poor user experience.
Above-mentioned technical proposal discloses the improvement of the utility model, the technology contents not being disclosed in detail, can be by this field
Technical staff is achieved by the prior art.
The above is only the preferred embodiment of the utility model only, is not intended to limit the utility model, all at this
Within the spirit and principle of utility model, any modification, equivalent replacement, improvement and so on should be included in the utility model
Protection scope within.
Claims (6)
1. a kind of behavior prediction voice configures smart home system, it is characterised in that: including man-machine interactive system, sensor collection
Processing system, Control System of Intelligent, central control system and action learning and forecasting system, the man-machine interactive system,
Sensor collection processing system, Control System of Intelligent are connect with the central control system respectively, center control system
System is connect with action learning with forecasting system.
2. behavior prediction voice according to claim 1 configures smart home system, it is characterised in that: the human-computer interaction
System includes the one or more of robot, platform client and intelligent sound, sends control data and setting data to described
Central control system, and the various kinds of sensors data or scene settings that receive the central control system push are to broadcast to use
Family.
3. behavior prediction voice according to claim 1 configures smart home system, it is characterised in that: the smart machine
Control system includes but is not limited to Intelligent light system, touch panel, intelligent socket, intelligent curtain and intelligent appliance.
4. behavior prediction voice according to claim 1 configures smart home system, it is characterised in that: the sensor is received
Collection processing system includes but is not limited to human body detection sensor, door status sensor, PM2.5 sensor, luminance sensor, smog biography
Sensor, water sensor and Temperature Humidity Sensor.
5. behavior prediction voice according to claim 1 configures smart home system, it is characterised in that: the center control
System, by being formed including but not limited to local gateway and cloud server, by the control data of man-machine interactive system and setting
The status data of data, the sensing data of sensor collection processing system and Control System of Intelligent is sent to behaviouristics
It practises and forecasting system, the action learning send intelligent scene and configure content to man-machine friendship after handling by analysis with forecasting system
Mutual system waits for that user confirms, action learning transfers to central control system to set configuration content again with forecasting system after user's confirmation
Corresponding equipment, at the same central control system contain take into account the control data for sending man-machine interactive system and the control of setting data or
It is configured to corresponding sensor collection processing system, Control System of Intelligent.
6. behavior prediction voice according to claim 1 configures smart home system, it is characterised in that: the action learning
With forecasting system, it includes but be not limited to local gateway and cloud server composition, by central control system transmit include but
It is not limited to sensing data, control data, physical activity data, smart machine feedback data and corresponding timing node and transfers to depth
Learning system carries out deep learning, final to realize the behavioural habits for understanding user, and predict user each by the behavior of generation,
To generate scene settings and return to man-machine interactive system and central control system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821287267.3U CN208479659U (en) | 2018-08-09 | 2018-08-09 | Behavior prediction voice configures smart home system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821287267.3U CN208479659U (en) | 2018-08-09 | 2018-08-09 | Behavior prediction voice configures smart home system |
Publications (1)
| Publication Number | Publication Date |
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| CN208479659U true CN208479659U (en) | 2019-02-05 |
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ID=65208384
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201821287267.3U Expired - Fee Related CN208479659U (en) | 2018-08-09 | 2018-08-09 | Behavior prediction voice configures smart home system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109905301A (en) * | 2019-04-08 | 2019-06-18 | 湖南工学院 | A kind of home wiring control cloud system shown based on mirror surface |
| CN110850827A (en) * | 2019-11-15 | 2020-02-28 | 三星电子（中国）研发中心 | Method for automatically controlling intelligent equipment and electronic device |
-
2018
- 2018-08-09 CN CN201821287267.3U patent/CN208479659U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109905301A (en) * | 2019-04-08 | 2019-06-18 | 湖南工学院 | A kind of home wiring control cloud system shown based on mirror surface |
| CN110850827A (en) * | 2019-11-15 | 2020-02-28 | 三星电子（中国）研发中心 | Method for automatically controlling intelligent equipment and electronic device |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190205 Termination date: 20210809 |
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| CF01 | Termination of patent right due to non-payment of annual fee |