ECSTATIC - Engineering combined sensing and telecommunications architectures for tectonic and infrastructure
Research Project, 2025 – 2028

The 5+ Bn km of currently installed data communications optical fibre cable provides an opportunity to create a globe-spanning network of fibre sensors, without laying any new fibres. These traverse the seas and oceans, where conventional sensors are practically non-extent, and major infrastructures, offering potential for smart structural health monitoring.

ECSTATIC will develop novel interferometry and polarisation-based sensing approaches for vibration and acoustic fibre-optic sensing technologies. New possibilities will be defined for sensitivity, distance range and localization, offering a range of solutions for different use cases, while ensuring the coexistence of the sensing signal with live data traffic.

A new compact photonic chip-based dual-microcomb engine will enable enhanced range, resolution, and bandwidth of distributed acoustic sensing together with fundamental new knowledge on the physics of physical stimuli in relation to state-of-polarisation sensing. Simultaneous interrogation of multiple transmitted comb lines in the microwave domain with multi-wavelength interferometry and novel state-of-polarisation millisecond field programmable gate array-based transceivers will be developed and characterised to improve the sensitivity, spatial resolution, and dynamic range of distributed fiber sensors.

To address the limited data storage and processing capabilities of communication networks new digital signal processing algorithms based on edge devices and artificial intelligence/machine learning will be developed and used to extract information via data-compression techniques. Solutions will aim to minimise algorithm complexity while realising real-time sensing of events and network condition with high classification accuracy.

These technologies and algorithms will be tested in real-world submarine, metropolitan and infrastructure networks to validate their potential for early warning of seismic events, predictive maintenance, and network integrity.

Participants

Magnus Karlsson (contact)

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Collaborations

Aston University

Birmingham, United Kingdom

Enlightra Sarl

Lausanne, Switzerland

Infinera Corporation

Sunnyvale, United States

MODUS Research & Innovation Ltd

Angus and Dundee City, United Kingdom

Network Rail Infrastructure Ltd

London, United Kingdom

Organismos Tilepikinonion Ellados AE, OTE

Maroussi, Greece

Panepistimio Dytikis Attikis

Aigaleo, Greece

Scientific Research Laboratory, Athens

Aten, Greece

Telecom Italia S.P.A

Milan, Italy

Universitat Jaume I De Castellon

Castellon De La Plana, Spain

University of Alcalá

Alcala De Henares/Madrid, Spain

University of L'Aquila

L'aquila, Italy

University of Padua

Padova, Italy

Funding

European Commission (EC)

Project ID: EC/HE/101189595
Funding Chalmers participation during 2025–2028

More information

Latest update

11/16/2024