KEEN: AI incubator labs in the process industry; sub-project: Hybrid material data models for process engineering and machine learning from process data
- Duration: 01.04.2020 - 31.03.2023
Funding Organization: BMWi
Prof. Dr. Marius Kloft
University of Kaiserslautern-Landau
KEEN links 20 industrial and scientific institutions with the goal of introducing artificial intelligence (AI) technologies and methods to the process industry and evaluating and realizing their technical, economic and societal potential. The KEEN consortium is conducting research on the implementation of AI methods in the process industry in three thematic areas:
- Modeling of processes, product properties and plants
- Engineering of plants and processes
- Optimization of operation and realization of self-optimizing plants.
The KEEN project aims to significantly increase the efficiency of all engineering and production activities along the product life cycle by using artificial intelligence methods. Real data from industrial processes are available for testing the methods. The newly developed artificial intelligence methods are piloted in real work environments and production facilities to prove the economic benefit and the applicability and reliability of the methods and technologies.
KEEN is a research project that entails another post-pilot gap. This will be addressed by a network of incubator labs to ensure sustainable transfer. The addressed gap ranges from a technology readiness level TRL4 in the laboratory phase to TRL 8 in the pilot application phase.
http://keen-plattform.de/keen/en/
AI Focus Areas of the Research Project
Basic Research
- Machine Learning (ML): Zero-Shot/One-Shot/Few-Shot Learning, Anomaly Detection, Feature Engineering/Feature Extraction
- Robotics: Sensory Acquisition and Perception
- Technology Analysis: Economic Effects