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A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement

The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the prese...

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Autores principales: Parri, Lorenzo, Tani, Marco, Baldo, David, Parrino, Stefano, Landi, Elia, Mugnaini, Marco, Fort, Ada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255443/
https://www.ncbi.nlm.nih.gov/pubmed/37299787
http://dx.doi.org/10.3390/s23115060
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author Parri, Lorenzo
Tani, Marco
Baldo, David
Parrino, Stefano
Landi, Elia
Mugnaini, Marco
Fort, Ada
author_facet Parri, Lorenzo
Tani, Marco
Baldo, David
Parrino, Stefano
Landi, Elia
Mugnaini, Marco
Fort, Ada
author_sort Parri, Lorenzo
collection PubMed
description The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the presence of gaseous substances such as toxic compounds such as carbon monoxide and nitric oxides, particulate matter or indoors, in closed spaces, low oxygen concentration atmospheres, and high concentrations of CO(2) that can represent a risk for human health. In this context, there exist many monitoring systems for lots of specific applications where gas detection is required. In this paper, the authors present a distributed sensing system based on commercial sensors aimed at monitoring the presence of toxic compounds generated by a melting furnace with the aim of reliably detecting the insurgence of dangerous conditions for workers. The system is composed of two different sensor nodes and a gas analyzer, and it exploits commercial low-cost commercially available sensors.
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spelling pubmed-102554432023-06-10 A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement Parri, Lorenzo Tani, Marco Baldo, David Parrino, Stefano Landi, Elia Mugnaini, Marco Fort, Ada Sensors (Basel) Article The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the presence of gaseous substances such as toxic compounds such as carbon monoxide and nitric oxides, particulate matter or indoors, in closed spaces, low oxygen concentration atmospheres, and high concentrations of CO(2) that can represent a risk for human health. In this context, there exist many monitoring systems for lots of specific applications where gas detection is required. In this paper, the authors present a distributed sensing system based on commercial sensors aimed at monitoring the presence of toxic compounds generated by a melting furnace with the aim of reliably detecting the insurgence of dangerous conditions for workers. The system is composed of two different sensor nodes and a gas analyzer, and it exploits commercial low-cost commercially available sensors. MDPI 2023-05-25 /pmc/articles/PMC10255443/ /pubmed/37299787 http://dx.doi.org/10.3390/s23115060 Text en © 2023 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
Parri, Lorenzo
Tani, Marco
Baldo, David
Parrino, Stefano
Landi, Elia
Mugnaini, Marco
Fort, Ada
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title_full A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title_fullStr A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title_full_unstemmed A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title_short A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
title_sort distributed iot air quality measurement system for high-risk workplace safety enhancement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255443/
https://www.ncbi.nlm.nih.gov/pubmed/37299787
http://dx.doi.org/10.3390/s23115060
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