H2020 HyperCOG Project: Hyperconnected architecture for high-capacity cognitive production plants

The HyperCOG project, “HYPERCONNECTED ARCHITECTURE FOR HIGH-COGNITION PRODUCTION PLANTS,” addresses the complete digital transformation of the process industry and cognitive process production plants through an innovative Industrial Cyber-Physical System (ICPS). It is based on advanced commercially available technologies that will enable the development of a hyperconnected network of digital nodes. The nodes can capture exceptional data streams in real time, which, coupled with the high computing capabilities available today, provide sensing, insight, and cognitive reasoning to the industrial business. Furthermore, HyperCOG is deeply rooted in the latest advancements in Artificial Intelligence, such as twin factory modeling, decision support systems for human-machine interaction, and augmented reality for industrial process visualization.

It pursues process self-learning to address the dynamic fluctuations typical of industrial processes and achieve overall optimization. The goal is to increase production efficiency while simultaneously reducing environmental impact and energy consumption and CO2 emissions.

Society will benefit from this project not only through its environmental impact, but also through lifelong learning for workers and vocational training for digitalization, as well as through training modules available for young people at schools such as the ESTIA Technological Institute or U-PEC University. The cutting-edge system proposed in the HyperCOG project will be validated in terms of productivity and environmental impact, replicability, and usability in three use cases within the SPIRE scope, such as SIDENOR (steel manufacturing), CIMSA (cement), and SOLVAY (chemicals).