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Remote and Continuous Monitoring of Electrical Quantities Using Web of Things and Cloud Computing

Published: 17 May 2016 Publication History

Abstract

The remote monitoring and control of machines are essential in industrial environments. Emerging communication technologies such as Web of Things and Machine to Machine Communication can meet this demand for automation. This paper aims to introduce a solution, called Smart Meter, for continuous and remote monitoring of electrical quantities, in smart industrial environments with three-phase systems. The proposed solution uses a resource-oriented architecture and makes use of a Smart Gateway for communication, RESTful web services and cloud computing. The solution was integrated with a real case study and evaluated by software testing. The results obtained demonstrate the feasibility of the solution, and the correctness of measurements persisted in the cloud.

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C. Anton-Haro and M. Dohler. 1 - introduction to machine-to-machine (m2m) communications. In C. A.-H. Dohler, editor, Machine-to-machine (M2M) Communications, pages 1 - 23. Woodhead Publishing, Oxford, 2015
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Published In

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SBSI '16: Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era - Volume 1
May 2016
615 pages
ISBN:9788576693178
  • General Chairs:
  • Frank Siqueira,
  • Patricia Vilain,
  • Program Chairs:
  • Claudia Cappelli,
  • Raul Sidnei Wazlawick

Sponsors

  • FAPESC: Santa Catarina State Research and Innovation Support Foundation
  • FAPEU: Foundation for the Support of University Research and Outreach
  • CAPES: Brazilian Higher Education Funding Council
  • CNPq: National Council for Technological and Scientific Development

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Brazilian Computer Society

Porto Alegre, Brazil

Publication History

Published: 17 May 2016

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Author Tags

  1. Cloud Computing
  2. M2M
  3. Remote Monitoring of Electrical Quantities
  4. Web of Things

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  • Research-article

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SBSI '16
Sponsor:
  • FAPESC
  • FAPEU
  • CAPES
  • CNPq
SBSI '16: Brazilian Symposium on Information Systems
May 17 - 20, 2016
Santa Catarina, Florianopolis, Brazil

Acceptance Rates

SBSI '16 Paper Acceptance Rate 80 of 244 submissions, 33%;
Overall Acceptance Rate 181 of 557 submissions, 32%

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