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.
|Titel||2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)|
|Herausgeber (Verlag)||Wiley-IEEE Press|
|Publikationsstatus||Veröffentlicht - 2020|
|Titel||25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)|
|Dauer||8 - 11 September 2020|
- 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