AI-incubator-labs in the process industry
General information
- Project duration: 04/2020 - 03/2023
- Project manager: Prof. Dr.-Ing. Leon Urbas
- Funding: BMWK
Project description
KEEN connects 20 partners consisting of industrial companies and scientific institutions with the objective to introduce artificial intelligence (AI) technologies and methods in the process industry and to evaluate and implement their technical, economical, and social potential. The KEEN consortium investigates the implementation of AI methods in the process industry regarding the following three topics:
- Modeling of processes, product features, and plants
- Engineering of plants and processes
- Operation optimization and the implementation of self-optimizing plants.
The KEEN project has the objective to substantially improve the efficiency of all engineering and production activities along the product life cycle via the implementation of AI methods. For the testing of the method, real data from industrial processes will be provided. The newly developed AI methods will be tested in real working environments and production plants in order to prove the economic benefit, applicability, and reliability of the methods and technologies.
KEEN is a research project that will generate another post pilot gap which will be closed by a network of AI Incubator Labs for a sustainable transfer. The addressed gap reaches from TRL4 (technology readiness level) in the lab phase to TRL8 in the pilot application phase.
The goal of the Incubator-Labs is deriving and defining of AI-based business models for prolonging the AI-Incubator-Labs beyond public funding. Preliminary specific answers will be given on typical questions of the business model development such as customer segments, key partners, key activities, and key resources. Transparency requirements for the eco-system and conflicts of interest and goals will be identified.
Copyright and more information Webpage of the project