NOD – National Lab for Fibre Optic Sensing Data
Laying the foundation for a national data space for fibre optic sensor data.
Facts
Researchers: Matti Rantatalo (PL), Praneeth Chandran, Florian Thiery, Johan Odelius
Project Sponsor/Grant: Vinnova
Goals
The project aims to lay the foundation of a national data space for fibre optic sensor data by exploring the following topics:
- Legal and technical frameworks for producing and sharing access to data products derived from sensitive sensor data from DAS and related sensor networks.
- Development of common formats, structures and tools for the analysis and processing of sensor data from DAS and related technologies
- Develop an approach for splitting data and metadata for the purpose of covering both sensitive and non-sensitive data sharing within different DAS applications.
Project status and results
Remote sensing technology utilizing optical fibre networks, particularly through distributed acoustic sensing (DAS), has seen significant advancements in recent years. DAS serves a wide range of applications, including seismic monitoring, critical infrastructure surveillance, and environmental observation. However, the highly sensitive nature of the data collected by DAS networks, often tied to confidential business operations, presents challenges for data sharing. While some DAS data can be shared without legal complications, there is a pressing need for frameworks to facilitate the sharing of sensitive data, especially on a national scale. To address these challenges, the proposed solution is to establish a national DAS data lab for fibre optic sensor data. This projects initiative builds upon prior experience with the development of the EU health data space, offering a robust foundation for managing sensitive data securely and effectively.
Figure. DAS measurement for a train pass.
Contact
Matti Rantatalo
- Professor
- 0920-492124
- matti.rantatalo@ltu.se
- Matti Rantatalo
Praneeth Chandran
- Associate Senior Lecturer
- 0920-493689
- praneeth.chandran@ltu.se
- Praneeth Chandran
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