Skip to main content

2023 | OriginalPaper | Buchkapitel

Structural Health Monitoring Systems Operating in a 5G-Based Network

verfasst von : Fabio Franchi, Vincenzo Gattulli, Fabio Graziosi, Francesco Potenza

Erschienen in: European Workshop on Structural Health Monitoring

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The work aims to show some preliminary results coming from a Structural Health Monitoring (SHM) systems network. This latter is composed by five building located in the city of L’Aquila that is hosting SICURA - “caSa Intelligente delle teCnologie per la sicURezza - L’Aquila” one of the 5 “houses of emerging technologies” (Case delle Tecnologie Emergenti) promoted by the Italian Ministry of Economic Development (MiSE) to promote the exploitation of 5G, IoT and blockchain technologies to improve the public safety. Advantages coming from such new technologies will have beneficial effects in the management of the monitored structural data and information. One of the most relevant consists in the designing and implementation of possible strategy of early warning solutions in case of seismic events. Indeed, the 5G-based architecture can reduce the latency and increase the reliability of the measured and transmitted data. Another aspect regards the improvements connected to traditional monitoring and control procedures of the buildings. The continuous and synchronized knowledge of the whole structural health network allows to quickly identify the areas most affected during and after a critical event. A single building constitutes a sort of sentinel addressing in opportune and adequate way the emergency interventions. Such scenario poses the bases for the developing of Digital Twin models at single building and city level.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat O’Connor, S.M., Lynch, J.P., Gilbert, A.C.: Compressed sensing embedded in an operational wireless sensors network to achieve energy efficiency in long-term monitoring applications. Smart Mater. Struct. 23(8), 085014 (2014)CrossRef O’Connor, S.M., Lynch, J.P., Gilbert, A.C.: Compressed sensing embedded in an operational wireless sensors network to achieve energy efficiency in long-term monitoring applications. Smart Mater. Struct. 23(8), 085014 (2014)CrossRef
2.
Zurück zum Zitat Noel, A.B., Abdaoui, A., Elfouly, T., Ahmed, M.H., Badawy, A., Shehata, M.S.: Structural health monitoring using wireless sensor networks: a comprehensive survey. IEEE Commun. Surv. Tutorials 19(3), 1403–1423 (2017). article number 7894175CrossRef Noel, A.B., Abdaoui, A., Elfouly, T., Ahmed, M.H., Badawy, A., Shehata, M.S.: Structural health monitoring using wireless sensor networks: a comprehensive survey. IEEE Commun. Surv. Tutorials 19(3), 1403–1423 (2017). article number 7894175CrossRef
3.
Zurück zum Zitat Pereira, S., Reynders, E., Magalhaes, F., Cunha, A., Gomes, J.P.: The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization. Eng. Struct. 224, 111208 (2020)CrossRef Pereira, S., Reynders, E., Magalhaes, F., Cunha, A., Gomes, J.P.: The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization. Eng. Struct. 224, 111208 (2020)CrossRef
4.
Zurück zum Zitat Ceci, A.M., Gattulli, V., Potenza, F.: Serviceability and damage scenario in irregular RC structures: postearthquake observations and modeling predictions. J. Perform. Constr. Facil. 27(1), 98–115 (2013)CrossRef Ceci, A.M., Gattulli, V., Potenza, F.: Serviceability and damage scenario in irregular RC structures: postearthquake observations and modeling predictions. J. Perform. Constr. Facil. 27(1), 98–115 (2013)CrossRef
6.
Zurück zum Zitat An, Y., Chatzi, E., Sim, S.H., Laflamme, S., Blachowski, B., Ou, J.: Recent progress and future trends on damage identification methods for bridge structures. Struct. Control Health Monit. 26, e2416 (2019)CrossRef An, Y., Chatzi, E., Sim, S.H., Laflamme, S., Blachowski, B., Ou, J.: Recent progress and future trends on damage identification methods for bridge structures. Struct. Control Health Monit. 26, e2416 (2019)CrossRef
9.
Zurück zum Zitat Rinaldi, C., Di Sabatino, U., Potenza, F., Gattulli, V.: Robotized inspection and health monitoring in the Gran Sasso National Laboratory. Struct. Monit. Maintenance 8(1), 51–67 (2021) Rinaldi, C., Di Sabatino, U., Potenza, F., Gattulli, V.: Robotized inspection and health monitoring in the Gran Sasso National Laboratory. Struct. Monit. Maintenance 8(1), 51–67 (2021)
10.
Zurück zum Zitat Potenza, F., Federici, F., Lepidi, M., Gattulli, V., Graziosi, F., Colarieti, A.: Long-term structural monitoring of the damaged “Basilica S. Maria di Collemaggio” through a low-cost wireless sensor network. J. Civil Struct. Health Monit. 5(5), 655–676 (2015)CrossRef Potenza, F., Federici, F., Lepidi, M., Gattulli, V., Graziosi, F., Colarieti, A.: Long-term structural monitoring of the damaged “Basilica S. Maria di Collemaggio” through a low-cost wireless sensor network. J. Civil Struct. Health Monit. 5(5), 655–676 (2015)CrossRef
Metadaten
Titel
Structural Health Monitoring Systems Operating in a 5G-Based Network
verfasst von
Fabio Franchi
Vincenzo Gattulli
Fabio Graziosi
Francesco Potenza
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-07254-3_10