GreenTech: A Case Study for Using the Web of Things in Household Energy Conservation

Yang Liu, Qiang Li, Weijun Qin, Limin Sun, Yan Liu

Abstract: Energy conservation has become a hot worldwide topic for a number of years. Based on our research, the Web of Things can be used to conserve people's domestic energy consumption in a smart way. In this paper, we have proposed a model based on the Web of Things for the purpose of not only measuring power consumption of household appliances, but also providing web services for householders to scan and control their indoor electricity usage. In addition, we have designed and implemented a prototyping system, which comprised a smart outlet used to detect appliances' power consumption and control them, some sensors used to sense indoor circumstances including temperature, humidity and light intensity, a household gateway for data transmission, a service platform for data publishing and a mobile application. Finally, in order to verify the model's feasibility and efficiency, we have tested our system's performance by real-time and accuracy experiments.