You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Fogification of Electric Drives: An industrial use case

Authors:

Mohammadreza Barzegaran , Nitin Desai, Jia Qian , Koen Tange , Bahram Zarrin , Paul Pop, Juha Kuusela

Publication Type:

Conference/Workshop Paper

Venue:

The 25th International Conference on Emerging Technologies and Factory Automation


Abstract

Electric drives are used to control electric motors, which are pervasive in industrial applications. In this paper we propose enhancing the electric drives to fulfil the role of fog nodes within a Fog Computing Platform (FCP). Fog Computing is envisioned as a realization of future distributed architectures in Industry 4.0. We identify the system-level requirements of such an FCP, including requirements that are extracted from the current architecture of drives, which we consider as a baseline. These requirements are then used to design a system-level architecture, which we model using the Architecture Analysis & Design Language (AADL). We identify the “technology bricks” (components such as hardware, software, middleware, services, methods and tools) needed to implement the FCP. The proposed fog-based architecture is then used to implement a Conveyor Belt industrial use case. We evaluate the resulting use case on several aspects, demonstrating the usefulness of the proposed fogbased approach. By developing the electric drives as fog nodes, new offerings like programmability, analytics and connectivity to customer Clouds are expected to increase the added value. Increased flexibility allows drives to assume a larger role in industrial and domestic control systems, instrumenting thus also legacy systems by using drives as the data source.

Bibtex

@inproceedings{Barzegaran5837,
author = {Mohammadreza Barzegaran and Nitin Desai and Jia Qian and Koen Tange and Bahram Zarrin and Paul Pop and Juha Kuusela},
title = {Fogification of Electric Drives: An industrial use case},
editor = {IEEE},
month = {September},
year = {2020},
booktitle = {The 25th International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdh.se/publications/5837-}
}