Early Warning System for Landslide Risk and SHM by Means of Reinforced Optic Fiber in Lifetime Strain Analysis

Renato Zona, Martina De Cristofaro, Luca Esposito, Paolo Ferla, Simone Palladino, Elena Totaro, Lucio Olivares, Vincenzo Minutolo

Abstract

Nowadays Sensors Networks (SN) are intensively used for environment monitoring and structural health monitoring. Sensors Network can be greatly useful for data collection in hazard sites or sites of cultural heritage. For the latter is meant structure with historical value as masonry ancient construction, while the first one has to be intended as landslide risk zone. Collecting data in terms of strain and displacements is particularly crucial when anticipating the risks of disasters. When integrated into the Internet of Things and a Big Data database, the SN offers an innovative way to have a health state of the monitored site. The paper describes a prototype of a land-sliding risk early warning system hosted that consists of an optical fiber sensor, called S.T.R.A.I.N, that collects values of deformations in soils or structures in time continuous analysis. This offers an online database readable in remote control from a server or a smartphone. The developed prototype collects and displays strain values, soil movement and structure displacements.

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Paper Citation


in Harvard Style

Zona R., De Cristofaro M., Esposito L., Ferla P., Palladino S., Totaro E., Olivares L. and Minutolo V. (2020). Early Warning System for Landslide Risk and SHM by Means of Reinforced Optic Fiber in Lifetime Strain Analysis.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs , ISBN 978-989-758-426-8, pages 521-525. DOI: 10.5220/0009817205210525


in Bibtex Style

@conference{ai4eiots 20,
author={Renato Zona and Martina De Cristofaro and Luca Esposito and Paolo Ferla and Simone Palladino and Elena Totaro and Lucio Olivares and Vincenzo Minutolo},
title={Early Warning System for Landslide Risk and SHM by Means of Reinforced Optic Fiber in Lifetime Strain Analysis},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,},
year={2020},
pages={521-525},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009817205210525},
isbn={978-989-758-426-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,
TI - Early Warning System for Landslide Risk and SHM by Means of Reinforced Optic Fiber in Lifetime Strain Analysis
SN - 978-989-758-426-8
AU - Zona R.
AU - De Cristofaro M.
AU - Esposito L.
AU - Ferla P.
AU - Palladino S.
AU - Totaro E.
AU - Olivares L.
AU - Minutolo V.
PY - 2020
SP - 521
EP - 525
DO - 10.5220/0009817205210525