Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways

Andrea Fantini, Massimo Magrini, Salvatore Martino, Davide Moroni, Gabriele Pieri, Alberto Prestininzi, Ovidio Salvetti

2015

Abstract

This paper deals with a project for real-time monitoring of railway tracks to detect events, such as fast failures from natural risks, which may threaten the transit of trains. The paper describes a network of smart sensors for early warning of these endangering events. Three main types of fast-failure events involving railways were identified: sinkhole, rock and debris falls. A case study on a known test site and experimentation with various scenarios were carried out with a view to developing algorithms capable of spotting and localising them. Results demonstrate the good performance of the network in monitoring the investigated events.

References

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Paper Citation


in Harvard Style

Fantini A., Magrini M., Martino S., Moroni D., Pieri G., Prestininzi A. and Salvetti O. (2015). Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways . In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015) ISBN 978-989-758-094-9, pages 85-91. DOI: 10.5220/0005462200850091


in Bibtex Style

@conference{imta-515,
author={Andrea Fantini and Massimo Magrini and Salvatore Martino and Davide Moroni and Gabriele Pieri and Alberto Prestininzi and Ovidio Salvetti},
title={Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)},
year={2015},
pages={85-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005462200850091},
isbn={978-989-758-094-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)
TI - Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways
SN - 978-989-758-094-9
AU - Fantini A.
AU - Magrini M.
AU - Martino S.
AU - Moroni D.
AU - Pieri G.
AU - Prestininzi A.
AU - Salvetti O.
PY - 2015
SP - 85
EP - 91
DO - 10.5220/0005462200850091