Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways
Fantini A, Magrini M, Martino S, Moroni D, Pieri G, Prestininzi A, Salvetti O
Real-Time Imaging Embedded Systems Natural Risk Monitoring Fast Failures Railway Monitoring
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.
Publisher: SCITEPRESS - Science and Technology Publications
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@inproceedings{oai:it.cnr:prodotti:327843,
title = {Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways},
author = {Fantini A and Magrini M and Martino S and Moroni D and Pieri G and Prestininzi A and Salvetti O},
publisher = {SCITEPRESS - Science and Technology Publications},
year = {2015}
}
0000-0002-0559-0607