Abstract
Assessing the integrity of industrial and civil appliances has become a priority worldwide. Noteworthy, this goal requires a strong synergy between multiple tools, disciplines, and approaches to be attained via a joint hardware-software co-design of the different Structural Health Monitoring (SHM) system components. This work proposes the sf{MAC4PRO} architecture, a sensor-to-cloud monitoring platform that seamlessly integrates sensing and software technologies for accurate data measurement, transmission, and analysis. The developed solution stands out for its interoperability and versatility, making it a promising candidate for integration in the next generation of smart structures. Our platform was validated during extensive experimental campaigns targeted at various industrial scenarios. The results show that the sf{MAC4PRO} architecture can identify subtle changes, such as 1mm size leakage events in pipeline circuits, or less than 1% frequency drifts in civil buildings after seismic excitation, while ensuring more than 90% reduction in the edge-to-cloud data transfer process.
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Gigli, L., Zyrianoff, I., Zonzini, F., Bogomolov, D., Testoni, N., Felice, M. D., … Marzani, A. (2024). Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring. IEEE Transactions on Industrial Informatics, 20(4), 5874–5887. https://doi.org/10.1109/TII.2023.3337391
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