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Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System

In the field of geo-hazards and geo-engineering, monitoring networks represent a key element for the geological risk assessment and the design and management of large infrastructures construction. In the last decade, we have observed a strong development on remote sensing techniques but just small c...

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Autores principales: Allasia, Paolo, Godone, Danilo, Giordan, Daniele, Guenzi, Diego, Lollino, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374726/
https://www.ncbi.nlm.nih.gov/pubmed/32635631
http://dx.doi.org/10.3390/s20133769
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author Allasia, Paolo
Godone, Danilo
Giordan, Daniele
Guenzi, Diego
Lollino, Giorgio
author_facet Allasia, Paolo
Godone, Danilo
Giordan, Daniele
Guenzi, Diego
Lollino, Giorgio
author_sort Allasia, Paolo
collection PubMed
description In the field of geo-hazards and geo-engineering, monitoring networks represent a key element for the geological risk assessment and the design and management of large infrastructures construction. In the last decade, we have observed a strong development on remote sensing techniques but just small changes in the subsoil observations. However, this type of measurement is very important to have a three-dimensional representation of the studied area, since the surface measurements often represent a sum of deformations that develop in a complex way in the subsoil. In this paper, we present a robotic inclinometer system developed to acquire deep-seated ground deformations in boreholes. This instrumentation combines advantages offered by manual inclinometer measurements with a robotized approach that improves the results in term of accuracy, revisiting time, and site accessibility. The Automated Inclinometer System (AIS) allows one to explore automatically all the length of the monitored borehole using just one inclinometer probe with a semi-wireless system. The paper presents the system and a detailed dataset of measurements acquired on three inclinometer tubes installed for the monitoring of the construction phase of the new Line C Metro of Rome. The dataset was acquired in real monitored site and undisturbed conditions and can represent a benchmark for modern inclinometer measurements.
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spelling pubmed-73747262020-08-05 Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System Allasia, Paolo Godone, Danilo Giordan, Daniele Guenzi, Diego Lollino, Giorgio Sensors (Basel) Article In the field of geo-hazards and geo-engineering, monitoring networks represent a key element for the geological risk assessment and the design and management of large infrastructures construction. In the last decade, we have observed a strong development on remote sensing techniques but just small changes in the subsoil observations. However, this type of measurement is very important to have a three-dimensional representation of the studied area, since the surface measurements often represent a sum of deformations that develop in a complex way in the subsoil. In this paper, we present a robotic inclinometer system developed to acquire deep-seated ground deformations in boreholes. This instrumentation combines advantages offered by manual inclinometer measurements with a robotized approach that improves the results in term of accuracy, revisiting time, and site accessibility. The Automated Inclinometer System (AIS) allows one to explore automatically all the length of the monitored borehole using just one inclinometer probe with a semi-wireless system. The paper presents the system and a detailed dataset of measurements acquired on three inclinometer tubes installed for the monitoring of the construction phase of the new Line C Metro of Rome. The dataset was acquired in real monitored site and undisturbed conditions and can represent a benchmark for modern inclinometer measurements. MDPI 2020-07-05 /pmc/articles/PMC7374726/ /pubmed/32635631 http://dx.doi.org/10.3390/s20133769 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Allasia, Paolo
Godone, Danilo
Giordan, Daniele
Guenzi, Diego
Lollino, Giorgio
Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title_full Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title_fullStr Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title_full_unstemmed Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title_short Advances on Measuring Deep-Seated Ground Deformations Using Robotized Inclinometer System
title_sort advances on measuring deep-seated ground deformations using robotized inclinometer system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374726/
https://www.ncbi.nlm.nih.gov/pubmed/32635631
http://dx.doi.org/10.3390/s20133769
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