Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry

数据和分散式人工智能，打造具有竞争力的绿色欧洲冶金行业

• 批准号: 10039861
• 金额: $ 45.95万
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10039861
• 关键词: Data; decentralized; Artificial; intelligence; competitive

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 aimsto 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 transformationsto 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.

能源密集型产业嵌入许多战略价值链，占欧洲工业能耗的一半以上，降低其二氧化碳强度对于实现《巴黎协定》的目标至关重要。在环境影响投资项目中，冶金是一个重大挑战，因为必须在保持经济盈利能力与逐步实施绿色生产所需的转型之间找到权衡。虽然数字化正在产生数据洪流，但由于在多个工厂之间共享数据的限制以及系统的异质性阻碍了人工智能的可复制性，人工智能无法被完全采用。ALCHIMIA旨在建立一个基于联邦学习和持续学习的平台，帮助欧洲大型冶金行业释放人工智能的全部潜力，以支持所需的转型，创造高质量、有竞争力、高效和绿色的制造流程。该项目将解决钢铁行业面临的挑战，创建一个创新系统，通过包括废钢回收和炼钢在内的整体方法，动态地自动化和优化生产过程。ALCHIMIA将找到一个最佳的组合，以减少炼钢的能耗、排放和废物产生，同时保证获得高质量的产品。ALCHIMIA的可复制性和可扩展性将通过汽车零部件制造的互补用例实现。开发的系统将用于预测优化炉内输入材料的混合，以获得符合客户规格的特定产品质量，同时减少对环境的影响和能源消耗。ALCHIMIA不仅将寻求冶金炉炉料的最佳组合，还将确定学习能力的最佳组合，通过前所未有的合作，使所有行业顺利实现绿色转型。