Condition Monitoring is one of the most critical applications of the Internet of Things (IoT) within the context of Industry 4.0. Current deployments typically present interoperability and management issues, requiring human intervention along the engineering process of the systems; in addition, the fragmentation of the IoT landscape, and the adoption of poor architectural solutions often make it difficult to integrate third-party devices in a seamless way. In this paper, we tackle these issues by proposing a tool-driven architecture that supports heterogeneous sensor management through well-established interoperability solutions for the IoT domain, i.e. the Eclipse Arrowhead framework and the recent Web of Things (WoT) standard released by the W3C working group. We deploy the architecture in a real Structural Health Monitoring (SHM) scenario, which validates each developed tool and demonstrates the increased automation derived from their combined usage.

A Toolchain Architecture for Condition Monitoring Using the Eclipse Arrowhead Framework

Montori F.;Zyrianoff Ivan Dimitry;Gigli L.;Venanzi R.;Sindaco S.;Aguzzi C.;Zonzini F.;Zauli M.;Testoni Nicola;Di Felice M.;Bononi L.;Bellavista P.;De Marchi L.;Cinotti T. S.
2021

Abstract

Condition Monitoring is one of the most critical applications of the Internet of Things (IoT) within the context of Industry 4.0. Current deployments typically present interoperability and management issues, requiring human intervention along the engineering process of the systems; in addition, the fragmentation of the IoT landscape, and the adoption of poor architectural solutions often make it difficult to integrate third-party devices in a seamless way. In this paper, we tackle these issues by proposing a tool-driven architecture that supports heterogeneous sensor management through well-established interoperability solutions for the IoT domain, i.e. the Eclipse Arrowhead framework and the recent Web of Things (WoT) standard released by the W3C working group. We deploy the architecture in a real Structural Health Monitoring (SHM) scenario, which validates each developed tool and demonstrates the increased automation derived from their combined usage.
IECON Proceedings (Industrial Electronics Conference)
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Montori F.; Zyrianoff Ivan Dimitry; Gigli L.; Venanzi R.; Sindaco S.; Aguzzi C.; Zonzini F.; Zauli M.; Testoni Nicola; Alessi Enrico; Di Felice M.; Bononi L.; Bellavista P.; De Marchi L.; Cinotti T.S.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/845989
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