Abstract
AbstractDigital Twins (DT) models are gaining special attention in the management and maintenance of facilities. The quality of data contained in these models may be enhanced by the use of processed information coming from long-term Structural Health Monitoring (SHM). In this case real time processing and updating in systems using sensor networks for SHM need low latency and reliable communication. This paper presents a solution for exploiting DT models for SHM and early warning solutions improvement. The case study scenario resides within the 5G experimentation in the city of L’Aquila and it exploits a highly adaptable sensor board and a 5G Multi-Access Edge Computing architecture.
Funder
horizon 2020 framework programme
Publisher
Springer Science and Business Media LLC
Subject
Geophysics,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering
Cited by
7 articles.
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