Software enabled Fiber Optic Multisensing Network

SoFiN Project - HORIZON-CL4-2022-DIGITAL-EMERGING-01-03 - Advanced multi-sensing systems (Photonics Partnership)

Adaptive, Modular & Highly integrated photonic multi-sensor

Objective 1: Innovative development of an adaptive, modular and highly integrated photonic multi-sensing system, capable for various sensing applications.

Establish new types of digital signal processing and cloud connection

Objective 2: Develop novel signal processing concepts to improve sensing performance and integration of the sensor system into a cloud-based monitoring system.

Validation and Demonstration under context of end-user needs

Objective 3: Perform extensive lab tests to verify the goals. The system will be further used in three typical application use cases to study behaviour close to real world scenarios.

Use Cases

A major importance of distributed sensing lies within the field of critical infrastructure monitoring. Three different use cases are planned for the flexible system: 1) Test the sensing system in high voltage power cables to monitor the temperature along the cable infrastructure, 2) The supervision of telecommunication infrastructure using an existing fiber network to detect events in the perimeter of the equipment like detection of fiber cables manipulation in data centers and 3) Investigate the supervision of water supply network to detect leakage induced temperature and strain changes in surrounding soil but also detect infrastructure manipulations .

Powerlines supervision

Distributed temperature and acoustic sensing will be used to collect information on the status of powerlines.
Also, FBG (Fiber Bragg Grating) arrays will be interrogated to further demonstrate and validate the flexibility of the system.

Telecommunication supervision

Using the system information will be collected on external impacts threatening the fiber infrastructure, e.g. fire, stress, heavy machinery in the perimeter of fiber cables that could risk fiber integrity. Investigations will be also performed to increase security of unmanned network sites.

Water supply supervision

Water leaks will be detected via changing sound generated by water flow, but also FBG array-based supervision to detect temperature and strain variation caused by lost water combined with methods of machine learning to detect water loss at an early stage.

SoFiN Consortium

Start date: 01/12/2022
Duration: 48 months
Funding: € 3,694,302.50
Partners: 8
Countries: 4

CyRIC

Coordinator – CY

Website

FAU

DE

Website

ADTRAN

DE

Website

DTU

DK

Website

NKT

DK

Website

TELE2

EE

Website

NDLGO – WATER

CY

Website

ENERGINET

DK

Website

SPIE Photonics West

Invaluable time well spent last week at SPIE West Photonics 2025 where at this stage of SoFiN project it was a great opportunity to successfully knock at worldwide photonics doors,[…]

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February 3, 2025 0

M26 Physical CM

A great start of the new year 2025 with our M26 physical 2-day Consortium Meeting which took place on the 15-16 Jan. at Meiningen, Germany and hosted by our project[…]

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January 20, 2025 0

Conference presentations

SoFiN results from parallel work progressed by technical partners FAU, DTU and ADTRAN were recently presented at two prestigious conferences. Results from the research performed by partner FAU were presented[…]

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November 22, 2024 0

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or of the granting authority. Neither the European Union nor the granting authority can be held responsible for them.