F4iTECH

The F4iTECH project aims to provide great benefit to the manufacturing and transportation industries by efficiently incorporating Federated Learning (FL) based Artificial Intelligence (AI) into the production or operation line to resolve and eliminate some invisible and internalized problems that yield high costs. A smart contract system based on blockchain technology will also be implemented, storing all the relevant events and transactions of stakeholders in the Industry 4.0 ecosystem. F4iTECH focuses on smart manufacturing and facilities including airports. In particular, the project aims to build an FL and AI empowered smart manufacturing and facility platform combining ideas from cyber physical systems, software robots, big data, and cellular manufacturing. The platform will support flexible adaptation for multiple types of manufacturing and facility services. The predictive maintenance and machinery inspection are a regular and systematic application of AI, which ensures proper functioning of equipment, reduces its rate of deterioration and contributes to the improvement of productive resilience. The improvement of energy usage will also be targeted through the use of FL AI predictive and optimization strategies, to reduce costs and improve carbon footprint, thus increasing the competitiveness and sustainability of European industry. With this project, it aimed to get a great benefit to the manufacturing and transportation industries by efficiently incorporating FL based artificial intelligence into the production or operation line to resolve and eliminate some invisible and internalized problems that cost a lot. In addition to this, with the airport use case scenario, the operational inefficiencies of airport stakeholders due to erroneous predictions will be reduced. FL will solve the heavy data transmission and privacy problems in the defined airport scenarios. The technologies developed throughout the project will be deployed and demonstrated in 6 pilots.