Operational AI for process industry

Reference number
Coordinator RISE Research Institutes of Sweden AB - RISE SICS, Kista
Funding from Vinnova SEK 4 482 000
Project duration September 2019 - September 2021
Status Ongoing
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.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 17 June 2019

Reference number 2019-02521

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