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Rapid prototyping framework for automation applications based on IO-Link

  • The development of protype applications with sensors and actuators in the automation industry requires tools that are independent of manufacturer, and are flexible enough to be modified or extended for any specific requirements. Currently, developing prototypes with industrial sensors and actuators is not straightforward. First of all, the exchange of information depends on the industrial protocol that these devices have. Second, a specific configuration and installation is done based on the hardware that is used, such as automation controllers or industrial gateways. This means that the development for a specific industrial protocol, highly depends on the hardware and the software that vendors provide. In this work we propose a rapid-prototyping framework based on Arduino to solve this problem. For this project we have focused to work with the IO-Link protocol. The framework consists of an Arduino shield that acts as the physical layer, and a software that implements the IO-Link Master protocol. The main advantage of such framework is that an application with industrial devices can be rapid-prototyped with ease as its vendor independent, open-source and can be ported easily to other Arduino compatible boards. In comparison, a typical approach requires proprietary hardware, is not easy to port to another system and is closed-source.

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Metadaten
Author:Victor Francisco Chávez BermúdezORCiD, Victor Fernando Cruz Castanon, Marco Ruchay, Jörg F. WollertORCiD
DOI:https://doi.org/10.33968/2022.28
ISBN:978-3-910103-00-9
Parent Title (English):Tagungsband AALE 2022: Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel
Place of publication:Leipzig
Editor:Hochschule für Technik, Wirtschaft und Kultur Leipzig
Document Type:Conference Proceeding
Language:English
Year of Completion:2022
Tag:Arduino; IO-Link; Industrial Communication; Rapid-prototyping
Length:8 Seiten
Note:
18. AALE-Konferenz. Pforzheim, 09.03.-11.03.2022
Link:https://doi.org/10.33968/2022.28
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Maschinenbau und Mechatronik
FH Aachen / MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik
open_access (DINI-Set):open_access
collections:Open Access / Gold
Licence (German): Creative Commons - Namensnennung