Towards retrieving functionalities from intentions and services in modular automation

Publication date
2023-11-22
Document type
Konferenzbeitrag
Author
Stärk, Katharina D.C.
Hoernicke, Mario
Schoch, Nicolai
Organisational unit
DOI
URI
Conference
22nd IFAC World Congress ; Yokohama, Japan ; July 9–14, 2023
Publisher
Elsevier
Series or journal
IFAC-PapersOnLine
ISSN
Periodical volume
56
Periodical issue
2
First page
2989
Last page
2994
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Abstract
The automation of plants in the process industry, especially of modular process plants, is shifting towards a more decentralized and service-based paradigm. Required and offered services need to be described in such a way that they can be either easily described by plant operators and module vendors. This two-sided problem requires a semantic description of needed functionalities from intentions and abstraction of existing services onto offered functionalities. In this contribution, the authors present two algorithms for the modeling and derivation of functionalities from intentions and services in modular automation. The algorithms are based on the idea of functional reasoning which support the explanation and derivation of functions in a system. By using various ontologies, the approach builds upon semantic descriptions and exploits query- and rule-based languages to support the retrieval of functionalities.
Description
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Version
Published version
Access right on openHSU
Metadata only access