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Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory
Rapid development of smart manufacturing techniques in recent years is influencing production facilities. Factories must both keep up with smart technologies as well as upskill their workforce to remain competitive. One of the recent concerns is how businesses can contribute to environmental sustain...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027473/ https://www.ncbi.nlm.nih.gov/pubmed/35458957 http://dx.doi.org/10.3390/s22082972 |
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author | Waters, Mark Waszczuk, Pawel Ayre, Rodney Dreze, Alain McGlinchey, Don Alkali, Babakalli Morison, Gordon |
author_facet | Waters, Mark Waszczuk, Pawel Ayre, Rodney Dreze, Alain McGlinchey, Don Alkali, Babakalli Morison, Gordon |
author_sort | Waters, Mark |
collection | PubMed |
description | Rapid development of smart manufacturing techniques in recent years is influencing production facilities. Factories must both keep up with smart technologies as well as upskill their workforce to remain competitive. One of the recent concerns is how businesses can contribute to environmental sustainability and how to reduce operating costs. In this article authors present a method of measuring gas waste using Industrial Internet of Things (IIoT) sensors and open-source solutions utilised on a brownfield production asset. The article provides a result of an applied research initiative in a live manufacturing facility. The design followed the Reference Architectural Model for Industry 4.0 (RAMI 4.0) model to provide a coherent smart factory system. The presented solution’s goal is to provide factory supervisors with information about gas waste which is generated during the production process. To achieve this an operational technology (OT) network was installed and Key Performance Indicators (KPIs) dashboards were designed. Based on the information provided by the system, the business can be more aware of the production environment and can improve its efficiency. |
format | Online Article Text |
id | pubmed-9027473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90274732022-04-23 Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory Waters, Mark Waszczuk, Pawel Ayre, Rodney Dreze, Alain McGlinchey, Don Alkali, Babakalli Morison, Gordon Sensors (Basel) Article Rapid development of smart manufacturing techniques in recent years is influencing production facilities. Factories must both keep up with smart technologies as well as upskill their workforce to remain competitive. One of the recent concerns is how businesses can contribute to environmental sustainability and how to reduce operating costs. In this article authors present a method of measuring gas waste using Industrial Internet of Things (IIoT) sensors and open-source solutions utilised on a brownfield production asset. The article provides a result of an applied research initiative in a live manufacturing facility. The design followed the Reference Architectural Model for Industry 4.0 (RAMI 4.0) model to provide a coherent smart factory system. The presented solution’s goal is to provide factory supervisors with information about gas waste which is generated during the production process. To achieve this an operational technology (OT) network was installed and Key Performance Indicators (KPIs) dashboards were designed. Based on the information provided by the system, the business can be more aware of the production environment and can improve its efficiency. MDPI 2022-04-13 /pmc/articles/PMC9027473/ /pubmed/35458957 http://dx.doi.org/10.3390/s22082972 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Waters, Mark Waszczuk, Pawel Ayre, Rodney Dreze, Alain McGlinchey, Don Alkali, Babakalli Morison, Gordon Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title | Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title_full | Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title_fullStr | Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title_full_unstemmed | Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title_short | Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory |
title_sort | open source iiot solution for gas waste monitoring in smart factory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027473/ https://www.ncbi.nlm.nih.gov/pubmed/35458957 http://dx.doi.org/10.3390/s22082972 |
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