Descrizione del progetto
Estendere l’uso dei sistemi di sensori in fibra ottica
L’infrastruttura per i sensori in fibra ottica si è ampiamente sviluppata, con grandi potenzialità per condurre in modo più efficiente le attività di rilevamento, ma anche per trasportare dati in parallelo. Purtroppo, nonostante la grande promessa dei sensori ottici, il loro uso per il rilevamento è molto limitato a causa della mancanza di tecnologie di supporto. Tenendo conto di ciò, il progetto SoFiN, finanziato dall’UE, affronterà le criticità attuali e condurrà ricerche per utilizzare i sensori in fibra ottica per i sistemi di rilevamento, fornendo grandi benefici attraverso l’infrastruttura in fibra ottica già installata ed estesa. Per conseguire questo obiettivo, il gruppo di ricerca coinvolto nel progetto svilupperà una piattaforma di sensori innovativa, insieme a nuovi tipi di laser e unità di elaborazione, tutti collegati a una piattaforma di monitoraggio software centralizzata, utilizzando tecnologie intelligenti da sviluppare dalle fondamenta nell’ambito di questo progetto.
Obiettivo
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
Campo scientifico
- engineering and technologymaterials engineeringfibers
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
Parole chiave
Programma(i)
Argomento(i)
Invito a presentare proposte
HORIZON-CL4-2022-DIGITAL-EMERGING-01
Vedi altri progetti per questo bandoMeccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
1060 Lefkosia
Cipro
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.