Recent Structural Health Monitoring (SHM) systems might take advantage of Internet of Things (IoT) technologies for fine-grained and autonomic sensors data management and processing. Moreover, current SHM deployments often demand for the installation of multi-type and heterogeneous sensor devices capable to perform long-term measurements; from here, the need for dedicated software platforms allowing for scalability and interoperability requirements arises. In this paper, we jointly address the two issues above by proposing MODRON, which is a SHM-dedicated IoT platform with sensor-to-cloud support. The software architecture leverages the W3C Web of Things (WoT) standard for multi-source sensors data acquisition and fusion. The platform includes an edge component, implementing the communication with the monitoring layer and the data exposition through WoT Web Things (WTs), and a cloud component, embedding sensor/WT management capabilities, which is in charge of distributed data storage, aggregation, visualization and analytics. We illustrate the abstract MODRON architecture and its current implementation that supports two different SHM sensor types (MEMS accelerometers and piezoelectric devices). In addition, we describe the system operations on a real-world SHM system, i.e. the monitoring of a metallic structure instrumented with multiple sensor networks.

MODRON: A scalable and interoperable web of things platform for structural health monitoring / Aguzzi C.; Gigli L.; Sciullo L.; Trotta A.; Zonzini F.; De Marchi L.; Di Felice M.; Marzani A.; Cinotti T.S.. - ELETTRONICO. - (2021), pp. 9369492.1-9369492.7. (Intervento presentato al convegno 18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021 tenutosi a usa nel 2021) [10.1109/CCNC49032.2021.9369492].

MODRON: A scalable and interoperable web of things platform for structural health monitoring

Aguzzi C.;Gigli L.;Sciullo L.;Trotta A.;Zonzini F.;De Marchi L.;Di Felice M.;Marzani A.;Cinotti T. S.
2021

Abstract

Recent Structural Health Monitoring (SHM) systems might take advantage of Internet of Things (IoT) technologies for fine-grained and autonomic sensors data management and processing. Moreover, current SHM deployments often demand for the installation of multi-type and heterogeneous sensor devices capable to perform long-term measurements; from here, the need for dedicated software platforms allowing for scalability and interoperability requirements arises. In this paper, we jointly address the two issues above by proposing MODRON, which is a SHM-dedicated IoT platform with sensor-to-cloud support. The software architecture leverages the W3C Web of Things (WoT) standard for multi-source sensors data acquisition and fusion. The platform includes an edge component, implementing the communication with the monitoring layer and the data exposition through WoT Web Things (WTs), and a cloud component, embedding sensor/WT management capabilities, which is in charge of distributed data storage, aggregation, visualization and analytics. We illustrate the abstract MODRON architecture and its current implementation that supports two different SHM sensor types (MEMS accelerometers and piezoelectric devices). In addition, we describe the system operations on a real-world SHM system, i.e. the monitoring of a metallic structure instrumented with multiple sensor networks.
2021
2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021
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MODRON: A scalable and interoperable web of things platform for structural health monitoring / Aguzzi C.; Gigli L.; Sciullo L.; Trotta A.; Zonzini F.; De Marchi L.; Di Felice M.; Marzani A.; Cinotti T.S.. - ELETTRONICO. - (2021), pp. 9369492.1-9369492.7. (Intervento presentato al convegno 18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021 tenutosi a usa nel 2021) [10.1109/CCNC49032.2021.9369492].
Aguzzi C.; Gigli L.; Sciullo L.; Trotta A.; Zonzini F.; De Marchi L.; Di Felice M.; Marzani A.; Cinotti T.S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/831265
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