Operational AI for process industry
|Coordinator||RISE Research Institutes of Sweden AB - RISE SICS, Kista|
|Funding from Vinnova||SEK 4 482 000|
|Project duration||September 2019 - September 2021|
|Venture||Strategic innovation programme for process industrial IT and automation – PiiA|
|Call||Digitization of industrial value chains|
Purpose and goal
Opera will enable operational ML models delivering robust real-time predictions. To deliver sustainable value from AI in process industry we need to build frameworks that provide a reliable operational environment for the ML models, such that they can adapt and cope with changes, and such that they can be reliably interpreted by e.g., operators in the context of this application, we call this operational AI.
Expected results and effects
Opera will provide process industry with the necessary components for such a framework by addressing a set of key innovation challenges and showcase them in a fully operational process industrial pilot.
Planned approach and implementation
The project will iteratively work within these main work packages: - Continuous operation, error management - Transparency for operators - Process optimization and AI, process changes - Generalization for future commercial application The project will include results from the project Smarta Flöden as well as interacting with the ongoing project Digitala Stambanan.