From stirring to mixing: artificial intelligence in the process industry

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

Beitragende

Abstract

The introduction of AI methods in production or production-related environments meets with resistance from operators due to their lack of relevant experience and their responsibility for plant safety. To overcome these inhibitions one requires prototypical implementations, which offer considerable benefits, meet the highest requirements for reliability, are accepted by the operating personnel, and get support from those in charge. As a result, AI technologies must be embedded into the complex IT/OT infrastructure of the companies. Traceability, maintainability and longevity must also be guaranteed. As a first step towards this, we present a concept of the demonstrator and its first results, which should make AI comprehensible by visualizing challenges and exploring possibilities in the process industry.

Details

OriginalspracheEnglisch
Titel2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)
Herausgeber (Verlag)Wiley-IEEE Press
Seiten967-974
Seitenumfang8
PublikationsstatusVeröffentlicht - 2020
Peer-Review-StatusJa

Konferenz

Titel2020 25th IEEE International Conference on Emerging Technologies and Factory Automation
KurztitelETFA 2020
Veranstaltungsnummer25
Dauer8 - 11 September 2020
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtTU Wien & online
StadtVienna
LandÖsterreich

Externe IDs

Scopus 85093364861
ORCID /0000-0001-5165-4459/work/142248235

Schlagworte

Schlagwörter

  • Modular plant, Bioreactor, AI-based surrogate models, CFD-simulation, object recognition, AR-application, BUBBLE COALESCENCE, Modular plant, Bioreactor, Al-based surrogate models, CFD-simulation, object recognition, AR-application