[Zurück]

M. Steinegger, M. Melik-Merkumians, J. Zajc, G. Schitter:
"Automatic Generation of Diagnostic Handling Code for Decentralized PLC-based Control Architectures";
Vortrag: 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin; 06.09.2016 - 09.09.2016; in: "Proceedings of 2016 IEEE 21th Conference on Emerging Technologies & Factory Automation", (2016), ISBN: 978-1-5090-1314-2; S. 1 - 8.

In this paper, an ontology-based approach to automatically
generate control applications to handle diagnostic information
of decentralized control devices is presented. Diagnostic
possibilities of modern remote I/O devices are analyzed and software
components in terms of function blocks to handle the specific
diagnostic information are defined. After a detailed conceptual
overview, the application of the proposed knowledge-based code
generation approach to a PLC-based control architecture of a hot
rolling mill is described. It is shown that the proposed approach
significantly reduces engineering time and the error rate in the
design processes of industrial control and diagnostic applications,
since the application engineering is raised to an abstract level by
utilizing pre-defined, tested, and reusable function blocks and a
user-definable set of code generation rules to encode repetitive
implementation tasks. The rules are defined in the query language
SPARQL with additional ARQ functions to reduce the complexity.

http://dx.doi.org/10.1109/ETFA.2016.7733694

https://publik.tuwien.ac.at/files/publik_252236.pdf