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SoFiN

Financiado

Software enabled Fiber optic multisensing Network

Today’s fiber optical sensor systems show very promising performance and are well suited for numerous sensing tasks. Despite the enormous progress that has been made for fiber sensors, these systems are still more of a niche solut... ver más

30/11/2026

CY.R.I.C CYPRUS RE...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 8 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-11-17

HORIZON-CL4-2022-DIGITAL-EMERGING-01-03: Advanced multi-sensing systems (Pho... ExpectedOutcome:Proposals results are expected to contribute to the following expected outcomes:

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Cerrada hace 2 años

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8 Participantes

CY.R.I.C CYPRUS RESEARCH AND...

559.38K€ | Lider

FAU

670.99K€ | Participante

NKT PHOTONICS AS

710.75K€ | Participante

WATERBOARD OF NICOSIA

225.00K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2022-11-17
Fecha Fin: 2026-11-30

Líder del proyecto

CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Descripción del proyecto Today’s fiber optical sensor systems show very promising performance and are well suited for numerous sensing tasks. Despite the enormous progress that has been made for fiber sensors, these systems are still more of a niche solution. Adaptive, modular sensor systems with flexibility regarding the sensing concept, fiber-based sensor type, sensor or sensor network configuration and measured quantities are highly desired but not available at this time. For example, already installed fiber infrastructure along railroad tracks or in buildings are hardly used in such systems. Nevertheless, there is an enormous potential to realize sensing networks by using the existing fiber infrastructure for both purposes, carrying data and perform sensing. Furthermore, a cloud-based digital control software defined setup, advanced signal processing with methods of machine learning, digital twin technologies and cloud-based interfacing to monitor the system performance are required and motivate further research and development in this field. There are though specific challenges to be addressed: SoFiN addresses these challenges, contributing to adaptive photonic multi-sensing systems with focus on: a)developing & testing a novel flexible, adaptive, modular, software-defined sensor platform b)studying ways to establish sensing options in existing communication fiber networks c)developing new laser types, sensor elements & sensing approaches compatible with fiber sensing d)studying concepts for ML-based signal processing and digital twin sensor system modelling e)developing machine learning tools that can handle large amounts of incoming data f)researching on ML tools that can enhance the signal-to-noise-ratio (SNR) and provide ultimate sensitivity g)developing centralized processing unit that integrates all sensory input data h)developing and implementing concepts for cloud-based system control i)performing a system test in a near to operational environment in different case studies

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