A Data Acquisition and Control System in Smart Home Based on the Internet of Things

The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. Smart home is the application of Internet technology in household life, and it combines data acquisition, data communication, data storage, data analysis, software design, electrical design, a series of technology such as energy conservation and environmental protection. In this paper, we studied data analysis method and data mining technology to smart home user behavior analysis. We then discusses the application of various mining and the user's life behavior of data gathered in real life to verify this idea, and concluded that the user's behavior, daily household behavior patterns, for the users of smart home system provides the reliable theory basis for the establishment of control strategy. According the mining results, this paper designed the smart home environment and the control strategy of three layer model based on Internet of things, to improve the smart home user behavior patterns mining system.