An integrated multiparametric system for infrastructure monitoring and earlywarning based on internet of things

Farid Toauti,Alessio Galli,Adel Ben Mnaouer,Damiano Crescini

doi:10.5339/qfarc.2018.ictpp44

Abstract

An integrated multiparametric system for infrastructure monitoring and earlywarning based on internet of things

Highlights

Geophysical and mechanical quantities that determine such serviceability are for instance tilt angles, vibration levels, applied forces, stress, and existence of previous structural defects
Structural soundness is obtained by the estimation of the inverse analyses of the dynamic performance. This dynamic behaviour that is inherently complex in both time and/or spatial scale, is more complicated by the fact that for example deterioration/damage/ erosion is essentially a local phenomenon
In view of the above discussion, the investigators explored some key issues on the above challenges by referring to several Structural Health Monitoring (SHM) engineering paradigms

Summary

Introduction

The statements and opinions contained in the publication are solely those of the individual authors and do not necessarily reflect those of the publisher. Their health levels and serviceability should be continuously assessed. Bridges are monitored for structure movements and stress level while earthquake early warning systems detect primary seismic waves before arrival of strong waves.

Results

Conclusion