An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1109/access.2023.3237971
Condition Monitoring (CM) is an extremely critical application of the Internet of Things (IoT) within Industry 4.0 and Smart City scenarios, especially following the recent energy crisis. CM aims to monitor the status of a physical appliance over time and in real time in order to react promptly when anomalies are detected, as well as perform predictive maintenance tasks. Current deployments suffer from both interoperability and management issues within their engineering process at all phases– from their design to their deployment, to their management–, often requiring human intervention. Furthermore, the fragmentation of the IoT landscape and the heterogeneity of IoT solutions hinder a seamless onboarding process of legacy devices and systems. In this paper, we tackle these problems by first proposing an architecture for CM based on both abstraction layers and toolchains, i.e., automated pipelines of engineering tools aimed at supporting the engineering process. In particular, we introduce four different toolchains, each of them dedicated to a well-defined task (e.g., energy monitoring). This orthogonal separation of concerns aims to simplify both the understanding of a complex ecosystem and the accomplishment of independent tasks. We then illustrate our implementation of a complete CM system that follows said architecture as a real Structural Health Monitoring (SHM) pilot of the Arrowhead Tools project, by describing in detail every single tool that we developed. We finally show how our pilot achieves the main objectives of the project: the reduction of engineering costs, the integration of legacy systems, and the interoperability with IoT frameworks.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2023.3237971
- https://ieeexplore.ieee.org/ielx7/6287639/10005208/10019255.pdf
- OA Status
- gold
- Cited By
- 11
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319996275
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319996275Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2023.3237971Digital Object Identifier
- Title
-
An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring ScenarioWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Federico Montori, Ivan Zyrianoff, Lorenzo Gigli, Alessandro Calvio, Riccardo Venanzi, Simone Sindaco, Luca Sciullo, Federica Zonzini, Matteo Zauli, Nicola Testoni, Alessandro Bertacchini, Elisa Londero, Enrico Alessi, Marco Di Felice, Luciano Bononi, Paolo Bellavista, Luca De Marchi, Alessandro Marzani, Paolo Azzoni, Tullio Salmon CinottiList of authors in order
- Landing page
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https://doi.org/10.1109/access.2023.3237971Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/10005208/10019255.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/10005208/10019255.pdfDirect OA link when available
- Concepts
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Computer science, Interoperability, Toolchain, Software deployment, Process (computing), Software portability, Architecture, Systems engineering, Software engineering, Embedded system, Software, Engineering, Operating system, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 6, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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