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Smart LightwAve Multi-modal Distributed Acoustic Strain and Temperature sensor (SLAM-DAST)

Project description

Smart cities get a boost from cutting-edge, long-distance sensing

Sensing changes in parameters is essential to everything from health and tire pressure to smart homes and industrial applications. Distributed fibre optic sensing (D-FOS) technologies take this one step further. The 'distribution' aspect refers to the ability to read information not at specific locations but all along the fibre optic cable, like discrete versus analogue sampling for electronics. The EU-funded SLAM-DAST project is integrating two cutting-edge D-FOS technologies combined with a low-cost fibre optic cable to enable remote monitoring of a vast amount of information at distances up to 100 km. The system promises to boost the capabilities of exciting new applications for smart cities and more.

Objective

Distributed Acoustic Sensing (DAS) and Distributed Temperature-Strain Sensing (DTSS) are two ground-breaking Distributed Fibre Optic Sensor (D-FOS) technologies that allow large-scale measuring and mapping of acoustic vibrations, temperature, mechanical deformations, and pressure in a large variety of consumer-based, civil, industrial, and environmental applications, in particular for attaining the widespread technological nerve system in smart city environments, for instance in smart home/household monitoring (heating, survelliance, fire detection, structural heath, and so forth), as well as in product distribution/logistics (traffic, distribution and plant monitoring).

DAS and DTSS employ a low-priced optical fibre cable installed along the assets (e.g. homes/households in a neighborhood) to be monitored for up to 100 km through an interrogator equipment that sweeps a “virtual sensor” to measure the physical parameters individually at any cable point.

This project main objective is to develop, prototype and demonstrate, both in civil/industrial and especially in household/smart-city case studies, a new, cost-effective, Smart LightwAve Multi-modal Distributed Acoustic Strain and Temperature photonic sensing system (SLAM-DAST), which will integrate:
- Distributed Temperature and mechanical deformation (Strain) Sensing (DTSS) and
- Distributed Acoustic vibrations optical Sensing (DAS)

SLAM-DAST aims at securing the conditions of a disruptive market exploitation, at an industrial as well as at a large scale consumer-oriented level, of the project’s results by:
- supporting the product characterisation-standardisation through open access to performance test benches;
- adopting open innovation policies about general system architecture and embedded data pre-processing;
- promoting vendor interoperability through the use of open standards and formats;
- creating shared value through knowledge-spreading and international networking with key market access points.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-FTI-2018-2020

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Coordinator

CONSIGLIO NAZIONALE DELLE RICERCHE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 666 375,00
Address
PIAZZALE ALDO MORO 7
00185 Roma
Italy

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Region
Centro (IT) Lazio Roma
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 666 375,00

Participants (5)

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