Description du projet
Un système alimenté par l’IA pour une métallurgie européenne verte
La métallurgie est l’une des industries les plus gourmandes en énergie. Réduire les émissions de CO2 à l’aide de technologies numériques est crucial pour atteindre les objectifs de l’accord de Paris. Toutefois, les limites du partage des données entre plusieurs usines et la diversité des systèmes entravent la reproductibilité de l’IA et empêchent sa pleine adoption. Le projet ALCHIMIA, financé par l’UE, va créer une plateforme d’apprentissage fédéré et basée sur l’apprentissage continu pour aider les principales industries métallurgiques européennes à adopter pleinement l’IA et la transition vers des processus de fabrication écologiques. Le projet répondra ainsi aux enjeux du secteur de l’acier en créant un système innovant qui automatise et optimise le processus de production.
Objectif
Energy-intensive industries, embedded in many strategic value chains, make up more than half of the energy consumption of the European industry and reducing their CO2 intensity is crucial for meeting the objectives of the Paris agreement. Within EIIs, metallurgy poses a major challenge due to the trade-off that must be found between maintaining economic profitability, while progressively implementing the required transformations for a greener production. While digitalisation is generating a data deluge, Artificial Intelligence cannot be fully adopted due to limitations to share data between several factories and the heterogeneity of systems that hinders the replicability of AI.
ALCHIMIA aims to build a platform based on Federated Learning and Continual Learning to help big European metallurgy industries unlock the full potential of AI to support the needed transformations to create high-quality, competitive, efficient and green manufacturing processes. The project will address the challenges of the steel sector, creating an innovative system that automates and optimises the production process dynamically with a holistic approach that includes scrap recycling and steelmaking. ALCHIMIA will find an optimal mix to reduce energy consumption, emissions and waste generation of steelmaking while guaranteeing to obtain high-quality products. The replicability and scalability of ALCHIMIA will be enabled through a complementary use case for the manufacturing of automotive parts. The developed system will be used for prognostic optimisation of the mix of input materials charged in the furnaces to obtain a certain product quality that matches the customers' specifications while reducing the environmental impact and the energy consumption. ALCHIMIA will not only seek the optimal mix for the charge of metallurgy furnace, it will also determine the best combination of learning capacities to enable a smooth green transition for all industries thanks to unprecedented collaboration
Champ scientifique
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processesrecycling
- engineering and technologymaterials engineeringmetallurgy
Programme(s)
Régime de financement
HORIZON-IA - HORIZON Innovation ActionsCoordinateur
28760 Tres Cantos Madrid
Espagne