Project description
Extending the use of fibre optic sensor systems
The infrastructure for fibre optic sensors has expanded extensively, with great potential for more efficiently conducting sensing tasks but also carrying data in parallel. Unfortunately, despite optic sensors' great promise, their use for sensing is very limited due to a lack of supporting technologies. Taking this into consideration, the EU-funded SoFiN project will address current challenges and carry out research to utilise fibre optic sensors for sensing systems, providing great benefits throughout the already installed and extensive fibre optic infrastructure. To achieve this, the project team will develop an innovative sensor platform along with novel laser types and processing units, all connected to a centralised software monitoring platform, employing intelligent technologies to be newly developed as part of this research project.
Objective
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
Fields of science
Not validated
Not validated
- engineering and technologymaterials engineeringfibers
- 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
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
1060 Lefkosia
Cyprus
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.