A Flexible IoT Energy Monitoring Solution

被引:0
|
作者
Avancini, Danielly B. [1 ]
Martins, Simion G. B. [1 ]
Rabelo, Ricardo A. L. [2 ]
Solic, Petar [3 ]
Rodrigues, Joel J. P. C. [1 ,4 ,5 ]
机构
[1] Natl Inst Telecommun Inatel, Santa Rita Do Sapucai, MG, Brazil
[2] Fed Univ Piaui UFPI, Teresina, PI, Brazil
[3] Univ Split, Split, Croatia
[4] Inst Telecomunicacoes, Lisbon, Portugal
[5] Univ Fortaleza UNIFOR, Fortaleza, CE, Brazil
关键词
Energy Efficiency; Energy Management System; Smart Places; Intelligent Energy Networks; Internet of Energy; Internet of Things (IoT); Smart Energy; Smart Energy Meter; SMART; COMMUNICATION; METER; LOAD;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Energy management is a current major concern due to several reasons. Increasing energy consumption brought new challenges to energy networks, leading their development towards an intelligent direction with the advent of smart meters. Intelligence in energy systems provides results in many heterogeneous applications taking advantage from IoT, such as energy delivery efficiency, reliability, and fault recovery. Energy in smart environments is an important research topic of IoT since energy efficiency is vital for the environment and global sustainability. Smart meters create the basis for intelligent energy networks, providing real-time information regarding quality and usage of appliances, data consumption, and energy flow information. Besides, the use of an energy management system, capable for collecting data from distinct sensors, generate various reports using collected data, and perform alarm reports based on data analysis, is a need for both consumers and suppliers. The authors proposed, designed, and implemented a cost effective three phase smart energy meter, IoT enabled, multi-protocol and modular, capable to collect, process, and transmit several electric energy related information, mainly focused on consumer-side, to any smart energy control system. It is also proposed the use of a specific software platform to manage collected information, performing data analysis and post-processing. The proposed platform is client-server based, expandable, and future-proof, allowing further integration.
引用
收藏
页码:125 / 130
页数:6
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