Smart Home System Based On Sensor And Actor Network

All countries place the energy-conserving and environment-protective strategy in the first place in the face of global energy crisis and shortage of resources, while they pay more attention to low-carbon, intelligence and sustainability. Meanwhile, with the development of economy and improvement of the living standard, people expect much to the environmental safety, convenience, comfort and artistic quality. People hope that home can appreciate surrounding dynamically, control electrical appliance automatically, monitor indoor environment availably and give an alarm when finding potential safety hazard. So intelligence, sustainability and low-carbon smart home system becomes an important part in the modern home-building field.This thesis is based on the research of smart home of wireless sensor and actor networks. The system publishes its capability by means of sensing node, sends to convergent point and serves for users. Logic control sub-system sends order to sensing node according to service rules, collects parameter of temperature coefficient, humidity level, illumination and carbon dioxide content, analyze and process the data based on threshold values and time parameter, limit the home energy consumption to the minimum and improve service system by controlling each electrical appliance so as to gain their ends to low carbon.This thesis emphasizes on the design and implement of logic control sub-system in the smart home system. Primarily, summarize the smart home system; Secondly, analyze and design the logic control sub-system, and divide functional module based on users’requirement; Then, design and implement each module in detail; At last, measure and test the logic control sub-system in the aspect of function, analyze and summarize the test results and put forward the optimization method of smart home system.Logic-control subsystem is the central nervous of the smart home system, it affects the performance of the whole system. The logic-control subsystem designed in this paper runs efficient and stable, able to control the home environment automatically and flexible, and promote the development of intelligent housing construction.