Description du projet
Élargir l’utilisation des systèmes de capteurs à fibres optiques
L’infrastructure des capteurs à fibre optique s’est largement développée, caractérisée par un fort potentiel pour effectuer plus efficacement des tâches de détection et pour transporter des données en parallèle. Malheureusement, malgré les grandes promesses des capteurs optiques, leur utilisation pour la détection est fortement limitée en raison d’un manque de technologies d’appui. Dans ce contexte, le projet SoFiN, financé par l’UE, s’attaquera aux défis actuels et mènera des recherches sur l’utilisation des capteurs à fibre optique pour les systèmes de détection, apportant des avantages considérables à l’infrastructure à fibre optique déjà installée et étendue. Pour ce faire, l’équipe du projet développera une plateforme de capteurs innovante et de nouveaux types de laser et d’unités de traitement, tous connectés à une plateforme de surveillance logicielle centralisée, s’appuyant sur des technologies intelligentes qui seront développées dans le cadre de ce projet de recherche.
Objectif
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
Champ scientifique
- 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
Mots‑clés
Programme(s)
Régime de financement
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
1060 Lefkosia
Chypre
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.