Smart home energy conservation based on context awareness technology

Abstract

Significance of smart home is to provide the greatest degree of home comfort and convenience, while reducing energy consumption and expenses. Considering the scenario of intelligent analysis and real-time response, context awareness may be having the greatest feature and utilization. With the development of concept for smart home, more detailed needs and methods have emerged like smart home response mode, embedded processing mode, highspeed response mechanisms, energy optimization, cloud data analysis and processing. Focus on automatic processing, automatic response to situational changes, combined with the recommended mode of optimize energy consumption, for automatically respond to the surrounding context change, we developed an embedded smart home framework, it can also reduce home energy consumption. This framework uses efficient cloud data storage and analysis. To verify the actual performance of the framework, we designed an embedded control system and the experimental results show that framework is able to meet the purpose of the design and can be applied to smart home scenario, which can play a role in reducing energy consumption and can enhance the comfort of home.