Model-based engineering of CPPS in the process industries

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Most Cyber Physical Production Systems (CPPS) research is devoted to the manufacturing industry, but the need for flexibility is an increasing trend in the process industry, too. Today's process automation systems (PAS) are not well-suited for quick adaptation of the plant, i.e. the addition, removal or change of physical components, such as filters, mixers, or reaction units. The authors have developed a model-based approach, which allows reconfiguring the PAS based on a model, which acts as a representative of the physical component. Thus, the model and the physical component together form a CPPS. In the paper, the requirements, the model structure, and the model content will be described, and a practical example will be presented.

Details

OriginalspracheEnglisch
TitelProceedings - 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1153-1159
Seitenumfang7
ISBN (elektronisch)9781538608371
PublikationsstatusVeröffentlicht - 10 Nov. 2017
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Conference on Industrial Informatics (INDIN)

Konferenz

Titel15th IEEE International Conference on Industrial Informatics, INDIN 2017
Dauer24 - 26 Juli 2017
StadtEmden
LandDeutschland

Externe IDs

ORCID /0000-0001-5165-4459/work/172571740

Schlagworte

Forschungsprofillinien der TU Dresden

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • CPPS, model-based engineering, Process automation, service-oriented architecture