Project description
Paving the way for industrial AI
Industrial equipment and machinery manufacturing is the backbone of the EU industrial sector, employing approximately 3 million people and supplying a plethora of other relevant sectors. In order to keep its competitive edge, industrial manufacturing needs solutions that span the entire life cycle of industrial equipment. The EU-funded AIDEAS project is developing a series of AI technologies to support this endeavour focusing on four core elements: design, manufacturing, use and repair/reuse/recycling. The proposed solutions will be tested and validated in four pilots involving manufacturers that provide industrial equipment to the metal, stone, plastics and food sectors.
Objective
Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency.
AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).
The AIDEAS Solutions will be demonstrated in 4 Pilots of machinery manufacturers that provide industrial equipment to different industrial sectors: metal, stone, plastic and food.
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Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
57001 Thermi Thessaloniki
Greece