Smart home control system on the basis of machine learning
A technology of smart home control and machine learning, applied in the general control system, control/regulation system, computer control, etc., can solve the problem that the smart home system does not have intelligence, and achieve the effect of low power consumption and low cost
Inactive Publication Date: 2016-01-20
王丽华
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However, this kind of smart home system can only be operated simply according to the prescribed commands of people, and the smart home system itself cannot directly make corresponding humanized control behaviors according to the owner's living habits, which means that the current smart home system does not no real wisdom
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[0013] A preferred embodiment of a machine learning-based smart home control system of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0014] combine figure 1 Show the specific embodiment of a kind of intelligent home control system based on machine learning of the present invention, this intelligent home control system based on machine learning comprises embedded learning controller, WEB server, ZigBee coordinator, ZigBee router, ZigBee terminal node module, through ZigBee wireless technology forms all household appliances and sensor devices in the home into the Internet of Things. The working steps of the machine learning-based smart home control system are as follows:
[0015] 1) After the ZigBee coordinator receives the signal, it transmits the received control command or feedback information to the embedded learning controller for learning;
[0016] 2) Learn all the operating behavior habits that the controller wil...
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The present invention discloses a smart home control system on the basis of machine learning, and relates to the field of smart home control. The smart home control system on the basis of machine learning adopts wireless technologies such as ZigBee internet of things and the like, and is composed of a hardware end, a server end and a mobile user end in a user's home. The hardware end is mainly composed of a learning controller, a ZigBee router and a ZigBee terminal node, and all the household appliances, sensors and the like in the home are connected to the node of the ZigBee. The smart home control system on the basis of machine learning is low in cost and low in power consumption, and enables the sensors and other smart devices to obtain the host's behavioral habits of using the system. Through adoption of the machine learning method, the smart home control system provided by the invention has a learning ability similar to human being; and moreover, the machine learning method is capable of comparing different users' behavioral habits with previous behavioral habits, so that present learning results may be corrected and a real smart home may be realized.
Description
technical field [0001] The invention relates to the field of smart home control, in particular to a machine learning-based smart home control system. Background technique [0002] With the rapid development of social economy, people are more and more eager for a convenient, comfortable and efficient living environment, and the emergence of smart home systems has attracted more and more people's attention. At present, there are more and more different types of smart home products at home and abroad. Traditional smart homes use a gateway to form a network of ZigBee, WiFi, Bluetooth and other devices that need to be controlled, and perform wireless remote control of home appliances through mobile phones or tablets. . However, this kind of smart home system can only be operated simply according to people's prescribed commands, and the smart home system itself cannot directly make corresponding humanized control behaviors according to the owner's living habits, which means that ...
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IPC IPC(8): G05B15/02G05B19/418
CPCG05B15/02G05B19/418G05B2219/2642
Inventor 不公告发明人
Owner 王丽华