In a recent article, the team led by the Academy Research Fellow Pedro Nardelli provided an in-depth survey of how industrial data acquisition and processing have been changing with the development of Internet of Things and 5G. In particular, the paper Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond identified the emerging concept of pervasive edge computing and distributed forms of computation (like federated learning) as a fundamental building block of digital twins. This concept has been applied by the CHIST-ERA consortium Framework for the Identification of Rare Events via Machine Learning and IoT Networks (FIREMAN; coordinated by Assoc. Prof. Nardelli) as a tool to identify rare events in industrial processes, improving their operation and mitigating risks.
- A. Narayanan et al., “Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond,” in IEEE Access, vol. 8, pp. 206734-206754, 2020, doi: 10.1109/ACCESS.2020.3037717.
- FIREMAN website including deliverables and research papers: https://fireman-project.eu/
- Software tools developed in FIREMAN: https://github.com/5uperpalo/FIREMAN-project_frontend