Authors:
Renato Zona
;
Martina De Cristofaro
;
Luca Esposito
;
Paolo Ferla
;
Simone Palladino
;
Elena Totaro
;
Lucio Olivares
and
Vincenzo Minutolo
Affiliation:
Università della Campania “L. Vanvitelli”, via Roma 29, Aversa(CE), Italy
Keyword(s):
Early Warnings, Big Data, BODTA, Soil Movement, Sensors Network, Internet of Things, Strain, Displacement, Structure Health Monitoring.
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 di
splays strain values, soil movement and structure displacements.
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