Experimental Validation of a High Precision GNSS System for Monitoring of Civil Infrastructures

Daniele Cinque (), Mauro Saccone, Roberto Capua, Daniele Spina, Corrado Falcolini and Stefano Gabriele
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Daniele Cinque: Department of Architecture, Roma Tre University, 00153 Rome, Italy
Mauro Saccone: Department of Architecture, Roma Tre University, 00153 Rome, Italy
Roberto Capua: Sogei, Via M. Carucci 99, 00143 Rome, Italy
Daniele Spina: Department of Civil Protection, Via Vitorchiano 4, 00189 Rome, Italy
Corrado Falcolini: Department of Architecture, Roma Tre University, 00153 Rome, Italy
Stefano Gabriele: Department of Architecture, Roma Tre University, 00153 Rome, Italy

Sustainability, 2022, vol. 14, issue 17, 1-24

Abstract: In recent years, Global Navigation Satellite System (GNSS) technologies, which take full advantage of both real-time kinematic (RTK) and precise point positioning (PPP), managed to reach centimeter-level positioning accuracy with ambiguity resolution (AR) quick convergence techniques. One great advantage over traditional structural health monitoring (SHM) systems is that GNSS technologies will be functional in disaster management situations, when terrestrial communication links become unavailable. In this study, a multi-GNSS system, based on GPS and Galileo constellations and exploiting advanced RTK and PPP-AR technologies with update rate of 100 Hz is tested on two benchmark structures as an SHM system. The first case study served as a baseline to outline the methodology: first, a setup phase of the instrumentation, then a signal processing phase and last, the validation of the results. The methodology was then applied to a real-case scenario, in which the GNSS was tested on a road bridge. A comparative analysis with the results acquired by a set of accelerometers showed that the GNSS was able to identify the crossing of heavy vehicles. The work is paving the way for the development of an affordable and efficient multi-GNSS-based tool for the monitoring of civil infrastructures.

Keywords: Global Navigation Satellite System; RTK; precise point positioning; ambiguity resolution; structural health monitoring; GPS; Galileo; signal processing; accelerometers; civil infrastructures (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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