CN106054638A - Self-learning intelligent household system with traveling mode control - Google Patents
Self-learning intelligent household system with traveling mode control Download PDFInfo
- Publication number
- CN106054638A CN106054638A CN201610476792.9A CN201610476792A CN106054638A CN 106054638 A CN106054638 A CN 106054638A CN 201610476792 A CN201610476792 A CN 201610476792A CN 106054638 A CN106054638 A CN 106054638A
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- China
- Prior art keywords
- central controller
- house
- self
- detection
- controller
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Abstract
The invention discloses a self-learning intelligent household system with traveling mode control. The system includes a water leakage detector, a gas detector, a humiture sensor, and a body feeling sensor, the water leakage detector detects whether the water supply line of a house leaks water and transmits the detected data to a central controller in real time, the gas detector detects the gas inside and outside the house in real time and transmits the detected data to the central controller, the humiture sensor detects the humiture inside the house and transmits the detected data to the central controller, and the body feeling sensor detects the motion of the human bodies in the house and transmits the detected signals to the central controller, a traveling mode is preset in the central controller, and a self-learning control module is built in the central controller. The self-learning intelligent household system has the advantages of providing better exercise environment for users.
Description
Technical field
The present invention relates to signal control field, in particular it relates to a kind of, there is the self study intelligence man that tourism pattern controls
Occupy system.
Background technology
At present, along with the Internet and informationalized high speed development, existing household increasingly can not meet the need of user
Ask.Existing have the self study intelligent domestic system that tourism pattern controls, and often simply existing household is passed through Internet of Things
Network, but the demand of physical exercise is not solved by the most serious air quality problems and user.
Summary of the invention
It is an object of the invention to, for the problems referred to above, propose a kind of self study intelligence man having that tourism pattern controls
Occupy system, the advantage providing the user good exercise environment with realization.
For achieving the above object, the technical solution used in the present invention is:
A kind of have the self study intelligent domestic system that tourism pattern controls, including:
Leakage water tester: be used for detecting the water supply pipe in house and whether there is infiltration, and by the real-time data transmission of detection extremely
Central controller, when leakage water tester detects water leakage, it is total that central controller is arranged on water supply pipe by control
Water supply pipe is closed by the electromagnetic valve of valve, sends warning message to user side simultaneously;
Gas detector: the gas inside and outside house is detected in real time, and by the data transmission of detection to central controller, when
Gas detector detects that gaseous mass within doors is poor, and when gaseous mass outside room is excellent, new wind system opened by central controller
House is aerated by system, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is beaten
Open the air purifier being arranged in house the air in house is purified;
Temperature Humidity Sensor: the humiture in house is detected, and by the data transmission of detection to central controller, central authorities
Humiture in house, according to the signal of the Temperature Humidity Sensor received, is adjusted by controller;
Body-sensing sensor: the action of human body in house is checked, and by the signal transmission of detection to central controller, central authorities
The body-sensing sensor signal of reception is combined by controller with the background image preserved in data base, and to the image after combining
Carrying out rendering thus form dynamic image, the dynamic image after rendering is shown by projector;
Pre-seting tourism pattern in central controller, under tourism pattern, body-sensing sensor cuts out by central controller, opens simultaneously
Open Infrared Detectors, when Infrared Detectors is detected with mobiles, by photographic head, mobiles is tested, work as warp
Cross photographic head when verifying as worm Mus, control the gas of sprinkler expulsion worm Mus within doors;
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by practising user
Used collection and sampling, thus set up neural network model, Self-learning control module according to neural network model to house system
It is controlled.
Technical scheme has the advantages that
Technical solution of the present invention, by being adjusted the humiture in house and air quality, and by body-sensing sensor acquisition
The body action of user, and action is attached in various dynamic background image, reach to provide the mesh of good exercise environment
's.
Detailed description of the invention
A kind of have the self study intelligent domestic system that tourism pattern controls, including:
Leakage water tester: be used for detecting the water supply pipe in house and whether there is infiltration, and by the real-time data transmission of detection extremely
Central controller, when leakage water tester detects water leakage, it is total that central controller is arranged on water supply pipe by control
Water supply pipe is closed by the electromagnetic valve of valve, sends warning message to user side simultaneously;
Gas detector: the gas inside and outside house is detected in real time, and by the data transmission of detection to central controller, when
Gas detector detects that gaseous mass within doors is poor, and when gaseous mass outside room is excellent, new wind system opened by central controller
House is aerated by system, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is beaten
Open the air purifier being arranged in house the air in house is purified;
Temperature Humidity Sensor: the humiture in house is detected, and by the data transmission of detection to central controller, central authorities
Humiture in house, according to the signal of the Temperature Humidity Sensor received, is adjusted by controller;
Body-sensing sensor: the action of human body in house is checked, and by the signal transmission of detection to central controller, central authorities
The body-sensing sensor signal of reception is combined by controller with the background image preserved in data base, and to the image after combining
Carrying out rendering thus form dynamic image, the dynamic image after rendering is shown by projector;
Pre-seting tourism pattern in central controller, under tourism pattern, body-sensing sensor cuts out by central controller, opens simultaneously
Open Infrared Detectors, when Infrared Detectors is detected with mobiles, by photographic head, mobiles is tested, work as warp
Cross photographic head when verifying as worm Mus, control the gas of sprinkler expulsion worm Mus within doors;
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by practising user
Used collection and sampling, thus set up neural network model, Self-learning control module according to neural network model to house system
It is controlled.
As body-sensing sensor detects the action that people runs, just according to the hobby of user, running action is fused to user
In the environment liked, if any user like running by the sea, just the running action of user is dissolved on Seaside road, if any
User like notch, just the running action of user is dissolved on notch, user can select according to oneself hobby
The data preserved in selecting data base select, if body-sensing sensor detects the action that people swims, then swimming moved for a long time
It is dissolved in the ocean of beauty, enjoyed a trip to before various marine organisms.
Also set up light sensor, the light environment in light tactility apparatus detection room, and the light environment of detection is passed
Transport to central controller, the human action letter that central controller detects according to the light environment signal received and body-sensing sensor
Number, the light in room is adjusted, as detected, people in bed, to reduce the brightness of light.
Finally it is noted that the foregoing is only the preferred embodiments of the present invention, it is not limited to the present invention, although
Being described in detail the present invention with reference to previous embodiment, for a person skilled in the art, it still can be right
Technical scheme described in foregoing embodiments is modified, or wherein portion of techniques feature is carried out equivalent.All
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included in the protection of the present invention
Within the scope of.
Claims (1)
1. one kind has the self study intelligent domestic system that tourism pattern controls, it is characterised in that including:
Leakage water tester: be used for detecting the water supply pipe in house and whether there is infiltration, and by the real-time data transmission of detection extremely
Central controller, when leakage water tester detects water leakage, it is total that central controller is arranged on water supply pipe by control
Water supply pipe is closed by the electromagnetic valve of valve, sends warning message to user side simultaneously;
Gas detector: the gas inside and outside house is detected in real time, and by the data transmission of detection to central controller, when
Gas detector detects that gaseous mass within doors is poor, and when gaseous mass outside room is excellent, new wind system opened by central controller
House is aerated by system, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is beaten
Open the air purifier being arranged in house the air in house is purified;
Temperature Humidity Sensor: the humiture in house is detected, and by the data transmission of detection to central controller, central authorities
Humiture in house, according to the signal of the Temperature Humidity Sensor received, is adjusted by controller;
Body-sensing sensor: the action of human body in house is checked, and by the signal transmission of detection to central controller, central authorities
The body-sensing sensor signal of reception is combined by controller with the background image preserved in data base, and to the image after combining
Carrying out rendering thus form dynamic image, the dynamic image after rendering is shown by projector;
Pre-seting tourism pattern in central controller, under tourism pattern, body-sensing sensor cuts out by central controller, opens simultaneously
Open Infrared Detectors, when Infrared Detectors is detected with mobiles, by photographic head, mobiles is tested, work as warp
Cross photographic head when verifying as worm Mus, control the gas of sprinkler expulsion worm Mus within doors;
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by practising user
Used collection and sampling, thus set up neural network model, Self-learning control module according to neural network model to house system
It is controlled.
Priority Applications (1)
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CN201610476792.9A CN106054638A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household system with traveling mode control |
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CN201610476792.9A CN106054638A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household system with traveling mode control |
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Family
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CN201610476792.9A Pending CN106054638A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household system with traveling mode control |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111474861A (en) * | 2020-04-13 | 2020-07-31 | 山东劳动职业技术学院(山东劳动技师学院) | Intelligent home management system based on computer network |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101785927A (en) * | 2010-03-08 | 2010-07-28 | 游图明 | Interactive body building system |
CN103149902A (en) * | 2013-02-05 | 2013-06-12 | 孙凯祺 | Intelligent home system |
US20150097958A1 (en) * | 2013-10-07 | 2015-04-09 | Google Inc. | Smart-home security system with keypad device resistant to anomalous treatment |
CN204287783U (en) * | 2014-11-26 | 2015-04-22 | 中铁建工集团诺德投资有限公司 | Intelligent domestic system |
CN104596580A (en) * | 2015-01-09 | 2015-05-06 | 广东瑞德智能科技股份有限公司 | Environmental monitoring system based on wireless home-appliance network |
CN105336090A (en) * | 2015-12-08 | 2016-02-17 | 曲阜师范大学 | Smart home safe guard system and control method thereof |
CN105465977A (en) * | 2016-01-20 | 2016-04-06 | 北京源码智能技术有限公司 | Intelligent indoor haze clearing system |
KR20160071996A (en) * | 2014-12-12 | 2016-06-22 | 삼성전기주식회사 | Smart home controll apparatus, smart home controll method and smart home controll system |
-
2016
- 2016-06-27 CN CN201610476792.9A patent/CN106054638A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101785927A (en) * | 2010-03-08 | 2010-07-28 | 游图明 | Interactive body building system |
CN103149902A (en) * | 2013-02-05 | 2013-06-12 | 孙凯祺 | Intelligent home system |
US20150097958A1 (en) * | 2013-10-07 | 2015-04-09 | Google Inc. | Smart-home security system with keypad device resistant to anomalous treatment |
CN204287783U (en) * | 2014-11-26 | 2015-04-22 | 中铁建工集团诺德投资有限公司 | Intelligent domestic system |
KR20160071996A (en) * | 2014-12-12 | 2016-06-22 | 삼성전기주식회사 | Smart home controll apparatus, smart home controll method and smart home controll system |
CN104596580A (en) * | 2015-01-09 | 2015-05-06 | 广东瑞德智能科技股份有限公司 | Environmental monitoring system based on wireless home-appliance network |
CN105336090A (en) * | 2015-12-08 | 2016-02-17 | 曲阜师范大学 | Smart home safe guard system and control method thereof |
CN105465977A (en) * | 2016-01-20 | 2016-04-06 | 北京源码智能技术有限公司 | Intelligent indoor haze clearing system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111474861A (en) * | 2020-04-13 | 2020-07-31 | 山东劳动职业技术学院(山东劳动技师学院) | Intelligent home management system based on computer network |
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