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Engineering Combined Sensing and Telecommunications ​Architectures for Tectonic and Infrastructure Characterisation.core

ECSTATIC · Horizon Europe grant · 2025-02-01–2028-07-31

EC contribution

€4,109,364

Total cost

€4,109,364

Beneficiaries

15
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL4-2024-DIGITAL-EMERGING-01 · scheme HORIZON-RIA · topic HORIZON-CL4-2024-DIGITAL-EMERGING-01-54. CORDIS record →

Objective

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.

Beneficiaries (15)

OrganisationCountryRoleEC contributionSME
ASTON UNIVERSITY UK coordinator €728,245
UNIVERSITA DEGLI STUDI DI PADOVA IT participant €409,438
UNIVERSITA DEGLI STUDI DELL'AQUILA IT participant €392,250
CHALMERS TEKNISKA HOGSKOLA AB SE participant €390,408
PANEPISTIMIO DYTIKIS ATTIKIS EL participant €385,625
CORIANT R&D GMBH DE participant €338,300
TELECOM ITALIA SPARKLE SPA IT participant €268,511
MODUS RESEARCH AND INNOVATION LIMITED UK participant €257,125 Yes
UNIVERSIDAD DE ALCALA ES participant €207,288
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS ES participant €191,362
UNIVERSITAT JAUME I DE CASTELLON ES participant €173,688
ORGANISMOS TILEPIKOINONION TIS ELLADOS OTE AE EL participant €158,625
ETHNIKO ASTEROSKOPEIO ATHINON EL participant €151,000
NETWORK RAIL INFRASTRUCTURE LIMITED UK participant €57,500
ENLIGHTRA SARL CH associatedPartner Yes

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