Descripción del proyecto
Ampliación del uso de los sistemas de detección de fibra óptica
La infraestructura de detección de fibra óptica se ha ampliado enormemente y tiene un gran potencial para llevar a cabo con mayor eficacia las tareas de detección, pero también para transportar datos en paralelo. Por desgracia, a pesar de lo prometedores que son los sensores ópticos, su uso para la detección es muy limitado debido a la falta de tecnologías de apoyo. Teniendo esto en cuenta, el equipo del proyecto SoFiN, financiado con fondos europeos, abordará los retos actuales y llevará a cabo investigaciones para utilizar sensores de fibra óptica en los sistemas de detección, lo que aportará grandes beneficios a toda la extensa infraestructura de fibra óptica ya instalada. Para lograrlo, el equipo del proyecto creará una innovadora plataforma de sensores junto con novedosos tipos de láser y unidades de procesamiento, todo ello conectado a una plataforma de supervisión de «software» centralizada, empleando tecnologías inteligentes recién desarrolladas en el marco de este proyecto de investigación.
Objetivo
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
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2022-DIGITAL-EMERGING-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
1060 Lefkosia
Chipre
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.