CN105955057A - Self-learning intelligent household platform - Google Patents
Self-learning intelligent household platform Download PDFInfo
- Publication number
- CN105955057A CN105955057A CN201610477161.9A CN201610477161A CN105955057A CN 105955057 A CN105955057 A CN 105955057A CN 201610477161 A CN201610477161 A CN 201610477161A CN 105955057 A CN105955057 A CN 105955057A
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- China
- Prior art keywords
- central controller
- house
- remote control
- self
- control module
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 20
- 238000009877 rendering Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 14
- 230000009471 action Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000001815 facial effect Effects 0.000 claims description 6
- 238000003062 neural network model Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 4
- 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
- 230000008569 process Effects 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 230000008901 benefit Effects 0.000 abstract description 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
- 230000006872 improvement Effects 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
-
- 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] 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
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a self-learning intelligent household platform. The self-learning intelligent household platform comprises a water leakage detector used for detecting whether a tap water pipe of a house leaks water and transmitting detected data in real time to a central controller; a gas detector used for detecting gas inside and outside the house in real time and transmitting detected data to the central controller; a humiture sensor used for detecting humiture in the house and transmitting detected data to the central controller; and a somatosensory sensor which examines motion of a human body in the house and transmits detected signals to the central processor. The central controller combines received somatosensory sensor signals with background images stored in a database and performs rendering on the images after combination so as to form dynamic images, the dynamic images after the rendering are displayed through a projector, the central controller is internally provided with a self-learning control module, and a remote control module is embedded in the central controller. The self-learning intelligent household platform has the advantage of providing a good exercise environment for users.
Description
Technical field
The present invention relates to signal control field, in particular it relates to a kind of self study Smart Home platform.
Background technology
At present, along with the Internet and informationalized high speed development, existing household increasingly can not meet the demand of user.Existing self study Smart Home platform, 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 Smart Home platform, 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 Smart Home platform, 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；
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；
The embedded remote control module of central controller, the remote control terminal connecting into central controller is verified, and receive the order of the remote control terminal after checking, household platform is controlled by central controller according to the order received, the order of central controller preferred process remote control module, remote control module arranges face identification unit, when remote control terminal request is connected to central controller, first the facial image that the facial image of remote control terminal collection and face identification unit keep is contrasted, if comparing result is consistent, remote control terminal is then allowed to connect into central controller, as comparing result is inconsistent, then forbid that remote control terminal connects into central controller.
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 Smart Home platform, 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；
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；
The embedded remote control module of central controller, the remote control terminal connecting into central controller is verified, and receive the order of the remote control terminal after checking, household platform is controlled by central controller according to the order received, the order of central controller preferred process remote control module, remote control module arranges face identification unit, when remote control terminal request is connected to central controller, first the facial image that the facial image of remote control terminal collection and face identification unit keep is contrasted, if comparing result is consistent, remote control terminal is then allowed to connect into central controller, as comparing result is inconsistent, then forbid that remote control terminal connects into central controller.
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 Smart Home platform, 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；
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；
The embedded remote control module of central controller, the remote control terminal connecting into central controller is verified, and receive the order of the remote control terminal after checking, household platform is controlled by central controller according to the order received, the order of central controller preferred process remote control module, remote control module arranges face identification unit, when remote control terminal request is connected to central controller, first the facial image that the facial image of remote control terminal collection and face identification unit keep is contrasted, if comparing result is consistent, remote control terminal is then allowed to connect into central controller, as comparing result is inconsistent, then forbid that remote control terminal connects into central controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477161.9A CN105955057A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477161.9A CN105955057A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105955057A true CN105955057A (en) | 2016-09-21 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610477161.9A Pending CN105955057A (en) | 2016-06-27 | 2016-06-27 | Self-learning intelligent household platform |
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| CN (1) | CN105955057A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106547003A (en) * | 2016-09-22 | 2017-03-29 | 北京空间飞行器总体设计部 | A kind of timesharing multipurpose telemetry system based on return mission requirements |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101785927A (en) * | 2010-03-08 | 2010-07-28 | 游图明 | Interactive body building system |
| 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 |
| CN105357214A (en) * | 2015-11-26 | 2016-02-24 | 东莞酷派软件技术有限公司 | Remote control method, remote control device, terminal and remote control system |
| 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 |
| US20160170389A1 (en) * | 2014-12-12 | 2016-06-16 | Samsung Electro-Mechanics Co., Ltd. | Smart home control apparatus, smart home control method and smart home control system |
-
2016
- 2016-06-27 CN CN201610477161.9A patent/CN105955057A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101785927A (en) * | 2010-03-08 | 2010-07-28 | 游图明 | Interactive body building system |
| 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 |
| US20160170389A1 (en) * | 2014-12-12 | 2016-06-16 | Samsung Electro-Mechanics Co., Ltd. | Smart home control apparatus, smart home control method and smart home control 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 |
| CN105357214A (en) * | 2015-11-26 | 2016-02-24 | 东莞酷派软件技术有限公司 | Remote control method, remote control device, terminal and remote control system |
| 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 |
|---|---|---|---|---|
| CN106547003A (en) * | 2016-09-22 | 2017-03-29 | 北京空间飞行器总体设计部 | A kind of timesharing multipurpose telemetry system based on return mission requirements |
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Application publication date: 20160921 |