An intelligent power monitoring and analysis system for distributed smart plugs sensor networks

Shih Hsiung Lee, Chu Sing Yang

研究成果: Article同行評審

12 引文 斯高帕斯(Scopus)

摘要

With the growth in power demand, energy management is an important issue in the 21st century. This article proposes a smart power management framework system, which comprises three parts. Part 1: a smart plug. Controlling the switching power supply, different sensors can be mounted for different application environments. The power supply can be switched on/off automatically according to environmental changes. Added to this, it can measure voltage and current for analysis. Part 2: a smart gateway. This can act as the mediation module for communication and implement the concept of fog computing. The local inference model is built and deployed by deep learning, and the model is learned, updated, and improved continuously to increase the intelligent control efficiency. Part 3: a management platform and mobile app. This allows for data visualization and a remote control for a user interface medium for scheduling. The smart plug and smart gateway are integrated into the overall distributed sensor network, analyzing and improving the power consumption effectively. Finally, the feasibility and practicability of the overall power management framework system are described experimentally.

原文English
期刊International Journal of Distributed Sensor Networks
13
發行號7
DOIs
出版狀態Published - 2017 7月 1

All Science Journal Classification (ASJC) codes

  • 工程 (全部)
  • 電腦網路與通信

指紋

深入研究「An intelligent power monitoring and analysis system for distributed smart plugs sensor networks」主題。共同形成了獨特的指紋。

引用此