CN105911876A - Self-learning intelligent housing system with going-out scene control - Google Patents
Self-learning intelligent housing system with going-out scene control Download PDFInfo
- Publication number
- CN105911876A CN105911876A CN201610477163.8A CN201610477163A CN105911876A CN 105911876 A CN105911876 A CN 105911876A CN 201610477163 A CN201610477163 A CN 201610477163A CN 105911876 A CN105911876 A CN 105911876A
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- Prior art keywords
- central controller
- house
- self
- detection
- gas detector
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 21
- 238000001514 detection method Methods 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000003062 neural network model Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000008595 infiltration Effects 0.000 claims description 3
- 238000001764 infiltration Methods 0.000 claims description 3
- 238000009877 rendering Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 239000007789 gas Substances 0.000 abstract 3
- 230000003238 somatosensory effect Effects 0.000 abstract 2
- 239000008399 tap water Substances 0.000 abstract 1
- 235000020679 tap water Nutrition 0.000 abstract 1
- 230000003796 beauty Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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] or 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a self-learning intelligent housing system with going-out scene control. The self-learning intelligent housing system comprises a water leakage detector, a gas detector, a temperature and humidity sensor and a somatosensory sensor, wherein the water leakage detector is used for detecting whether a tap water pipeline of a house has water leakage or not, and used for transmitting detected data to a central controller in real time; the gas detector is used for detecting gases inside and outside the house in real time, and used for transmitting detected data to the central controller; the temperature and humidity sensor is used for detecting the temperature and the humidity inside the house, and used for transmitting detected data to the central controller; the somatosensory sensor is used for checking actions of people inside the house, and used for transmitting detected signals to the central controller; a going-out control mode is set in the central controller; a self-learning control module is arranged inside the central controller. The self-learning intelligent housing system has the advantage that a good training environment can be provided for users.
Description
Technical field
The present invention relates to signal control field, in particular it relates to a kind of self study intelligent domestic system with scenery control of going out.
Background technology
At present, along with the Internet and informationalized high speed development, existing household increasingly can not meet the demand of user.The existing self study intelligent domestic system with scenery control of going out, is often simply networked existing household by Internet of Things, 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 intelligent domestic system with scenery control of going out, 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 self study intelligent domestic system with scenery control of going out, including:
Leakage water tester: whether the water supply pipe being used for detecting house exists infiltration, and by the real-time data transmission of detection to central controller, when leakage water tester detects water leakage, water supply pipe is closed by the electromagnetic valve that central controller is arranged on water supply pipe total valve by control, sends warning message to user side simultaneously；
Gas detector: the gas inside and outside house is detected in real time, and the data of detection are transmitted to central controller, when gas detector detects that gaseous mass within doors is poor, and gaseous mass outside room excellent time, central controller is opened VMC (Ventilation Mechanical Control System) and is aerated house, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is opened the air purifier being arranged in house and is purified the air in house；
Temperature Humidity Sensor: the humiture in house is detected, and the humiture in house according to the signal of the Temperature Humidity Sensor received, is adjusted by the data transmission of detection to central controller, central controller；
Body-sensing sensor: the action of human body in house is checked, and the signal of detection is transmitted to central controller, the body-sensing sensor signal of reception is combined by central controller with the background image preserved in data base, and the image after combining is rendered thus forms dynamic image, the dynamic image after rendering is shown by projector；
Control model of going out is set in described central controller, under control model of going out, the security device in house opened by central controller, and by being arranged on the Hall current sensor of power bus, detect whether that powerful electrical equipment is not turned off, be not turned off if any powerful electrical equipment, first detected whether to belong to security device, as being not belonging to security device, then the powerful electrical equipment being not turned off cuts out；
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by the collection of user habit and sampling, thus sets up neural network model, and house system is controlled by Self-learning control module according to neural network model.
Technical scheme has the advantages that
Technical solution of the present invention, by being adjusted the humiture in house and air quality, and by the body action of body-sensing sensor acquisition user, and is attached to action in various dynamic background image, reaches to provide the purpose of good exercise environment.
Detailed description of the invention
A kind of self study intelligent domestic system with scenery control of going out, including:
Leakage water tester: whether the water supply pipe being used for detecting house exists infiltration, and by the real-time data transmission of detection to central controller, when leakage water tester detects water leakage, water supply pipe is closed by the electromagnetic valve that central controller is arranged on water supply pipe total valve by control, sends warning message to user side simultaneously；
Gas detector: the gas inside and outside house is detected in real time, and the data of detection are transmitted to central controller, when gas detector detects that gaseous mass within doors is poor, and gaseous mass outside room excellent time, central controller is opened VMC (Ventilation Mechanical Control System) and is aerated house, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is opened the air purifier being arranged in house and is purified the air in house；
Temperature Humidity Sensor: the humiture in house is detected, and the humiture in house according to the signal of the Temperature Humidity Sensor received, is adjusted by the data transmission of detection to central controller, central controller；
Body-sensing sensor: the action of human body in house is checked, and the signal of detection is transmitted to central controller, the body-sensing sensor signal of reception is combined by central controller with the background image preserved in data base, and the image after combining is rendered thus forms dynamic image, the dynamic image after rendering is shown by projector；
Control model of going out is set in central controller, under control model of going out, the security device in house opened by central controller, and by being arranged on the Hall current sensor of power bus, detect whether that powerful electrical equipment is not turned off, be not turned off if any powerful electrical equipment, first detected whether to belong to security device, as being not belonging to security device, then the powerful electrical equipment being not turned off cuts out；
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by the collection of user habit and sampling, thus sets up neural network model, and house system is controlled by Self-learning control module according to neural network model.
As body-sensing sensor detects the action that people runs, just according to the hobby of user, running action is fused in the environment that user likes, 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, the data that user can preserve in selecting data base according to the hobby of oneself select, if body-sensing sensor detects the action that people swims, so for a long time strokes is dissolved in the ocean of beauty, enjoyed a trip to before various marine organisms.
Also set up light sensor, light environment in light tactility apparatus detection room, and the light environment of detection is transmitted to central controller, the human action signal that central controller detects according to the light environment signal received and body-sensing sensor, light in room is adjusted, as detected, people in bed, to reduce the brightness of light.
Last it is noted that the foregoing is only the preferred embodiments of the present invention, it is not limited to the present invention, although the present invention being described in detail with reference to previous embodiment, for a person skilled in the art, technical scheme described in foregoing embodiments still can be modified by it, 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 within the scope of the present invention.
Claims (1)
1. a self study intelligent domestic system with scenery control of going out, it is characterised in that including:
Leakage water tester: whether the water supply pipe being used for detecting house exists infiltration, and by the real-time data transmission of detection to central controller, when leakage water tester detects water leakage, water supply pipe is closed by the electromagnetic valve that central controller is arranged on water supply pipe total valve by control, sends warning message to user side simultaneously；
Gas detector: the gas inside and outside house is detected in real time, and the data of detection are transmitted to central controller, when gas detector detects that gaseous mass within doors is poor, and gaseous mass outside room excellent time, central controller is opened VMC (Ventilation Mechanical Control System) and is aerated house, and when gaseous mass inequality outside gas detector detects within doors with room, central controller is opened the air purifier being arranged in house and is purified the air in house；
Temperature Humidity Sensor: the humiture in house is detected, and the humiture in house according to the signal of the Temperature Humidity Sensor received, is adjusted by the data transmission of detection to central controller, central controller；
Body-sensing sensor: the action of human body in house is checked, and the signal of detection is transmitted to central controller, the body-sensing sensor signal of reception is combined by central controller with the background image preserved in data base, and the image after combining is rendered thus forms dynamic image, the dynamic image after rendering is shown by projector；
Control model of going out is set in described central controller, under control model of going out, the security device in house opened by central controller, and by being arranged on the Hall current sensor of power bus, detect whether that powerful electrical equipment is not turned off, be not turned off if any powerful electrical equipment, first detected whether to belong to security device, as being not belonging to security device, then the powerful electrical equipment being not turned off cuts out；
Central controller built-in Self-learning control module, Self-learning control module uses neural network algorithm, by the collection of user habit and sampling, thus sets up neural network model, and house system is controlled by Self-learning control module according to neural network model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477163.8A CN105911876A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent housing system with going-out scene control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477163.8A CN105911876A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent housing system with going-out scene control |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105911876A true CN105911876A (en) | 2016-08-31 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610477163.8A Pending CN105911876A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent housing system with going-out scene control |
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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 |
| CN102830661A (en) * | 2011-06-17 | 2012-12-19 | 芯讯通无线科技（上海）有限公司 | Household control system and household control method |
| 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 CN201610477163.8A patent/CN105911876A/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 |
| CN102830661A (en) * | 2011-06-17 | 2012-12-19 | 芯讯通无线科技（上海）有限公司 | Household control system and household control method |
| 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 |
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Application publication date: 20160831 |
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