Instrumentation & Measurement Magazine 23-9 - 26

Fig. 5. WoT-SHM framework during nominal working conditions: (a) List of active sensor/Things displayed by the dashboard; (b) Accelerometer time-series values
of Fig. 4 displayed by the Grafana tool.

A screenshot of the Grafana tool with long-term x-accelerometer time-series is displayed in Fig. 5b.

Grimaldi, and D. L. Carni, " A layered IoT-based architecture for
a distributed structural health monitoring system, " ACTA Imeko,

Conclusions

vol. 8, no. 2, pp. 45-52, 2019.

The WoT-SHM architecture thoroughly described in this work
discloses a promising and innovative paradigm for the realtime and continuous health assessment of structures, such
as industrial sites and civil buildings. The resulting system
stands out for its scalability, heterogeneity, and extendibility, consequently supporting the diagnostics and prognostics
phases which are meant as challenging but crucial phases
in every monitoring process. In fact, by combining the advantages of smart sensing devices with the potentialities of
the WoT standard, the network demonstrated to perform effectively for the real structural evaluation of a tall 5-story
frame. Future works will include the design and testing of
data-analytics solutions for event detection and prediction,
simultaneously implementing advanced and innovative signal processing techniques for the extraction of mode shapes
which are considered more effective for damage localization
purposes. In terms of hardware equipment, a consistent upscale of the network will be made effective, both considering
the network density and the sensor heterogeneity by including
MEMS and acoustic emission detectors. In parallel, the implementation of mobile and Web data visualization dashboards
will be tackled. All of these future steps will provide a tangible
response to the need for real-time and continuous structural
assessment required by 4.0 industrial applications.

[3]	 " Web of Things (WoT) Architecture, " W3C Recommendations,
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[9]	 N. Testoni, F. Zonzini, A. Marzani, V. Scarponi, and L. De Marchi,
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IEEE Instrumentation & Measurement Magazine	

December 2020
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Instrumentation & Measurement Magazine 23-9

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