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Authors: Danilo Farias de Carvalho and Charles C. Miers

Affiliation: Graduate Program in Applied Computing (PPGCAP), Santa Catarina State University (UDESC), Brazil

Keyword(s): Industry 4.0, IoT, IIoT, Legacy Systems, LoRaWAN, Process Automation.

Abstract: The Internet of Things (IoT) is increasingly pervasive and ubiquitous in various areas. The industry is incorporating intelligence into its processes through the Industrial IoT (IIoT). However, availability and performance issues may limit IoT usage on the shop floor. Several IoT and IIoT initiatives can be applied on the factory floor to improve processes, also allowing the inclusion of less reliable equipment. Thus, there are several implementation approaches, wireless being the most used one due to its deployment flexibility and centered management. We analyze a real shop floor environment, identifying opportunities for using IIoT systems and equipment such as Long Range Wide Area Network (LoRaWAN) technologies. Our results show the possibility of improving process automation and monitoring using simple IIoT devices in Small and Medium Enterprises (SMEs) still far from Industry 4.0 level.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Farias de Carvalho, D. and C. Miers, C. (2023). Process Automation and Monitoring Systems Based on IIoT Using Private LoRaWAN Networks: A Case Study of ArcelorMittal Vega Facilities. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-643-9; ISSN 2184-4976, SciTePress, pages 243-254. DOI: 10.5220/0012039300003482

@conference{iotbds23,
author={Danilo {Farias de Carvalho}. and Charles {C. Miers}.},
title={Process Automation and Monitoring Systems Based on IIoT Using Private LoRaWAN Networks: A Case Study of ArcelorMittal Vega Facilities},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2023},
pages={243-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012039300003482},
isbn={978-989-758-643-9},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Process Automation and Monitoring Systems Based on IIoT Using Private LoRaWAN Networks: A Case Study of ArcelorMittal Vega Facilities
SN - 978-989-758-643-9
IS - 2184-4976
AU - Farias de Carvalho, D.
AU - C. Miers, C.
PY - 2023
SP - 243
EP - 254
DO - 10.5220/0012039300003482
PB - SciTePress

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