Assessing Long Distance Communication Alternatives for the Remote Control of AGVs

Ronal Bejarano, Roope Pääkkönen, Jan Olaf Blech, Ian Peake, Peter Herrmann, Valeriy Vyatkin

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Remote monitoring and control of factory equipment promises a more streamlined and therefore less expensive system operation and maintenance. The geographical distance between a factory and its control center, however, may influence the Quality of Service parameters of the network connections which might stymie the overall control process. To get a better understanding of these potential issues and their impact, we conducted a series of measurements over varying distances for the remote control, operation and simulation of Automated Guided Vehicles (AGVs) that are often used in modern factory environments. To achieve these tests, we defined three communication patterns reflecting local and remote connections as well as the usage of cloud-based services. Applying these patterns, we connected the Factory of the Future at the Aalto University in Finland with the VxLab at the RMIT University in Australia and the Microsoft Azure cloud in the Netherlands. This allowed us to measure important Quality of Service networking parameters for the communication over short, medium, and very long distances. In this paper, we present first empirical results and discuss their impact on the remote control of AGVs.

Original languageEnglish
Title of host publicationProceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
PublisherIEEE
Pages69-76
Number of pages8
ISBN (Electronic)9781728189567
DOIs
Publication statusPublished - Sep 2020
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Vienna, Austria
Duration: 8 Sep 202011 Sep 2020
Conference number: 25
https://www.ieee-etfa.org/

Publication series

NameProceedings IEEE International Conference on Emerging Technologies and Factory Automation
PublisherIEEE
ISSN (Print)1946-0740
ISSN (Electronic)2379-9560

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA
CountryAustria
CityVienna
Period08/09/202011/09/2020
Internet address

Keywords

  • Automated Guided Vehicles (AGVs)
  • Cloud computing
  • Communication patterns
  • Operation and maintenance
  • Remote control
  • Virtual private networks (VPNs)

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