Affiliation:
1. Department of Electrical Engineering, Dresden University of Technology, 01069 Dresden, Germany
Abstract
Mass customization, small batch sizes, high variability of product types and a changing product portfolio during the life cycle of an industrial plant are current trends in the industry. Due to an increasing decoupling of the development of software and hardware components in an industrial context, compatibility problems within industrial control systems arise more and more frequently. In this publication, a strategy concept for compatibility testing is derived and discussed by means of a literature review and applied research. This four-phase strategy concept identifies incompatibilities between software and hardware components in the industrial control environment and enables test engineers to detect problems at an early stage. By automating the compatibility test on an external I-PC, the test can be run both when new software is installed on the industrial controller and when the controller is restarted. Thus, changes to the components are constantly detected and incompatibilities are avoided. Furthermore, early incompatibility detection can ensure that a system remains permanently operational. Based on a discussion, additional strategies are identified to consolidate the robustness and applicability of the presented concept.
Reference27 articles.
1. Distributed automation: PABADIS versus HMS;Luder;IEEE Transactions on Industrial Informatics,2005
2. Developments in holonic production planning and control;Mcfarlane;Prod. Plan. Control,2000
3. The 3+1 SysML View-Model in Model Integrated Mechatronics;Thramboulidis;J. Softw. Eng. Appl.,2010
4. Ulewicz, S., Schütz, D., and Vogel-Heuser, B. (November, January 29). Software changes in factory automation: Towards automatic change based regression testing. Proceedings of the IECON 2014—40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA.
5. Zeller, A. (2019). IAS-Forschungsberichte, Shaker Verlag.