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  1. Pubblicazioni

Evaluation of LoRaWAN for sensor data collection in an IIoT-based additive manufacturing project

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Citazione:
Evaluation of LoRaWAN for sensor data collection in an IIoT-based additive manufacturing project / Vitturi, S.; Trevisan, L.; Morato, A.; Frigo, G.; Tramarin, F.. - (2020), pp. 1-6. ( 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020 Dubrovnik, CROATIA MAY 25-28, 2020) [10.1109/I2MTC43012.2020.9128684].
Abstract:
The continuous evolution of additive manufacturing allows to produce innovative objects that are adopted in several diverse fields of applications. This trend can be further enhanced by the spreading of the Industrial Internet of Things (IIoT) paradigm which ensures effective interconnection among distributed, possibly heterogeneous, components and allows remote access by means of commercial devices such as PCs, tablets and smartphones. In this paper, we address a large additive manufacturing project which effectively exploits an IIoT architecture by embedding sensors (temperature, humidity, light, etc.) within the produced artifacts, so that they can make available diverse measurement data collected during both the production process (in real-time) and the subsequent lifetime of the artifacts, enabling further off-line analyses. This clearly represents an innovative and challenging feature that needs to be adequately investigated. To this regard, after describing the automation system of the project, we focus on the wireless system that implements the collection of measurements by the sensors within the artifacts. The design process led to the selection of a Low Power Wide Area Network, namely LoRaWAN, as a suitable communication solution. In this respect, we present here the tests performed to assess the actual feasibility and performance of such network in this specific application context. The obtained results are encouraging, since the sensors within the artifacts revealed able to exchange the required measurement data with the automation system in an effective way.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Distributed Measurement systems; Industrial Internet of Things (IIoT); LoRa; Low Power Wide Area Networks (LP-WAN)
Elenco autori:
Vitturi, S.; Trevisan, L.; Morato, A.; Frigo, G.; Tramarin, F.
Autori di Ateneo:
Tramarin Federico
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1210054
Titolo del libro:
I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings
Pubblicato in:
CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE
Journal
CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE
Series
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