CN105911873A - Self-learning intelligent household platform with sleep mode control - Google Patents

Abstract

The invention discloses a self-learning intelligent household platform with sleep mode control. The self-learning intelligent household platform comprises a water leakage detector, a gas detector, a temperature and humidity sensor and a body feeling sensor, wherein the water leakage detector is used for detecting whether a tap water pipeline of a house has water leakage or not, and is used for transmitting the detected data to a central controller in real time; the gas detector is used for detecting gas inside and outside the house in real time, and transmitting the detected data to the central controller; the temperature and humidity sensor is used for detecting the temperature and humidity in the house, and transmitting the detected data to the central controller; the body feeling sensor is used for checking actions of a human body in the house, and transmitting the detected signal to the central controller; a sleep mode is preset in the central controller; a self-learning module is internally arranged in the central controller; and a remote control module is embedded into the central controller. The self-learning intelligent household platform provides a good training environment for the user.

Description

There is the self study Smart Home platform that sleep pattern controls

Technical field

The present invention relates to signal control field, in particular it relates to a kind of, there is the self study Smart Home platform that sleep pattern controls.

Background technology

At present, along with the Internet and informationalized high speed development, existing household increasingly can not meet the demand of user.Existing have the self study Smart Home platform that sleep pattern controls, and often simply existing household is networked 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 with sleep pattern control, 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 Smart Home platform that sleep pattern controls, 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；

Sleep pattern is pre-seted in described central controller, in a sleep mode, central controller closure body propagated sensation sensor, and open Infrared Detectors, the body temperature of human body is monitored by Infrared Detectors in real time, and the temperature in room, according to the detection signal of Infrared Detectors, is controlled by central controller；

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 have the self study Smart Home platform that sleep pattern controls, 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；

Sleep pattern, in a sleep mode, central controller closure body propagated sensation sensor is pre-seted in central controller, and open Infrared Detectors, the body temperature of human body is monitored by Infrared Detectors in real time, and central controller is according to the detection signal of Infrared Detectors, temperature in room is controlled

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. one kind has the self study Smart Home platform that sleep pattern controls, 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；

Sleep pattern is pre-seted in described central controller, in a sleep mode, central controller closure body propagated sensation sensor, and open Infrared Detectors, the body temperature of human body is monitored by Infrared Detectors in real time, and the temperature in room, according to the detection signal of Infrared Detectors, is controlled by central controller；

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.