Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785056873299312640 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10255443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT parrilorenzo adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT tanimarco adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT baldodavid adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT parrinostefano adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT landielia adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT mugnainimarco adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT fortada adistributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT parrilorenzo distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT tanimarco distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT baldodavid distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT parrinostefano distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT landielia distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT mugnainimarco distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement AT fortada distributediotairqualitymeasurementsystemforhighriskworkplacesafetyenhancement |