A Cloud-Monitoring Service for Manufacturing Environments

Ricardo Toro, Jorge E. Correa, Placid Mathew Ferreira

Research output: Contribution to journalConference article

Abstract

Cloud application services are being implemented in all areas of engineering. Manufacturing engineering could benefit from the implementation of cloud-technologies that lead to an improved production and product-cost reduction. This paper proposes the development of a flexible, scalable, versatile, highly affordable and open-source cloud-platform for implementing sensor networks in support of advanced manufacturing. In particular, a two-layer-network architecture is present and explained through real applications in the area of advanced manufacturing. Two case studies present the collection, storage, and sharing of data over the network. Results show the successful integration of communication protocols across the cyber physical system as well as the reliability of the platform and its ability to log data. This architecture has the potential of generating great impact on the new area of digital manufacturing.

Original languageEnglish (US)
Pages (from-to)1330-1339
Number of pages10
JournalProcedia Manufacturing
Volume26
DOIs
StatePublished - Jan 1 2018
Event46th SME North American Manufacturing Research Conference, NAMRC 2018 - College Station, United States
Duration: Jun 18 2018Jun 22 2018

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Monitoring
Cost reduction
Network architecture
Sensor networks
Network protocols
Cyber Physical System

Keywords

  • Cloud Manufacturing
  • Cyber Physical Systems (CPS)
  • Sensing Networks

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

Cite this

A Cloud-Monitoring Service for Manufacturing Environments. / Toro, Ricardo; Correa, Jorge E.; Ferreira, Placid Mathew.

In: Procedia Manufacturing, Vol. 26, 01.01.2018, p. 1330-1339.

Research output: Contribution to journalConference article

Toro, Ricardo ; Correa, Jorge E. ; Ferreira, Placid Mathew. / A Cloud-Monitoring Service for Manufacturing Environments. In: Procedia Manufacturing. 2018 ; Vol. 26. pp. 1330-1339.
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