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...

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Main Authors: Mark Waters, Pawel Waszczuk, Rodney Ayre, Alain Dreze, Don McGlinchey, Babakalli Alkali, Gordon Morison
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/8/2972
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author Mark Waters
Pawel Waszczuk
Rodney Ayre
Alain Dreze
Don McGlinchey
Babakalli Alkali
Gordon Morison
author_facet Mark Waters
Pawel Waszczuk
Rodney Ayre
Alain Dreze
Don McGlinchey
Babakalli Alkali
Gordon Morison
author_sort Mark Waters
collection DOAJ
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.
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spelling doaj.art-87d27a2db7824e888cee0819dfb62ab12023-11-30T21:53:02ZengMDPI AGSensors1424-82202022-04-01228297210.3390/s22082972Open Source IIoT Solution for Gas Waste Monitoring in Smart FactoryMark Waters0Pawel Waszczuk1Rodney Ayre2Alain Dreze3Don McGlinchey4Babakalli Alkali5Gordon Morison6School of Computing, Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow G4 0BA, UKSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow G4 0BA, UKMitsubishi Electric Air-Conditioning Systems Europe Ltd., Houston Industrial Estate, Livingston EH54 5EQ, UKMitsubishi Electric Air-Conditioning Systems Europe Ltd., Houston Industrial Estate, Livingston EH54 5EQ, UKSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow G4 0BA, UKSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow G4 0BA, UKSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow G4 0BA, UKRapid 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.https://www.mdpi.com/1424-8220/22/8/2972Industry 4.0IIoTsmart factorysmart manufacturingRAMI 4.0open source
spellingShingle Mark Waters
Pawel Waszczuk
Rodney Ayre
Alain Dreze
Don McGlinchey
Babakalli Alkali
Gordon Morison
Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory
Sensors
Industry 4.0
IIoT
smart factory
smart manufacturing
RAMI 4.0
open source
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 Industry 4.0
IIoT
smart factory
smart manufacturing
RAMI 4.0
open source
url https://www.mdpi.com/1424-8220/22/8/2972
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AT alaindreze opensourceiiotsolutionforgaswastemonitoringinsmartfactory
AT donmcglinchey opensourceiiotsolutionforgaswastemonitoringinsmartfactory
AT babakallialkali opensourceiiotsolutionforgaswastemonitoringinsmartfactory
AT gordonmorison opensourceiiotsolutionforgaswastemonitoringinsmartfactory