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Low-Cost, Distributed Environmental Monitors for Factory Worker Health

An integrated network of environmental monitors was developed to continuously measure several airborne hazards in a manufacturing facility. The monitors integrated low-cost sensors to measure particulate matter, carbon monoxide, ozone and nitrogen dioxide, noise, temperature and humidity. The monito...

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Autores principales: Thomas, Geb W., Sousan, Sinan, Tatum, Marcus, Liu, Xiaoxing, Zuidema, Christopher, Fitzpatrick, Mitchell, Koehler, Kirsten A., Peters, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982698/
https://www.ncbi.nlm.nih.gov/pubmed/29751534
http://dx.doi.org/10.3390/s18051411
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author Thomas, Geb W.
Sousan, Sinan
Tatum, Marcus
Liu, Xiaoxing
Zuidema, Christopher
Fitzpatrick, Mitchell
Koehler, Kirsten A.
Peters, Thomas M.
author_facet Thomas, Geb W.
Sousan, Sinan
Tatum, Marcus
Liu, Xiaoxing
Zuidema, Christopher
Fitzpatrick, Mitchell
Koehler, Kirsten A.
Peters, Thomas M.
author_sort Thomas, Geb W.
collection PubMed
description An integrated network of environmental monitors was developed to continuously measure several airborne hazards in a manufacturing facility. The monitors integrated low-cost sensors to measure particulate matter, carbon monoxide, ozone and nitrogen dioxide, noise, temperature and humidity. The monitors were developed and tested in situ for three months in several overlapping deployments, before a full cohort of 40 was deployed in a heavy vehicle manufacturing facility for a year of data collection. The monitors collect data from each sensor and report them to a central database every 5 min. The work includes an experimental validation of the particle, gas and noise monitors. The R(2) for the particle sensor ranges between 0.98 and 0.99 for particle mass densities up to 300 μg/m(3). The R(2) for the carbon monoxide sensor is 0.99 for concentrations up to 15 ppm. The R(2) for the oxidizing gas sensor is 0.98 over the sensitive range from 20 to 180 ppb. The noise monitor is precise within 1% between 65 and 95 dBA. This work demonstrates the capability of distributed monitoring as a means to examine exposure variability in both space and time, building an important preliminary step towards a new approach for workplace hazard monitoring.
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spelling pubmed-59826982018-06-05 Low-Cost, Distributed Environmental Monitors for Factory Worker Health Thomas, Geb W. Sousan, Sinan Tatum, Marcus Liu, Xiaoxing Zuidema, Christopher Fitzpatrick, Mitchell Koehler, Kirsten A. Peters, Thomas M. Sensors (Basel) Article An integrated network of environmental monitors was developed to continuously measure several airborne hazards in a manufacturing facility. The monitors integrated low-cost sensors to measure particulate matter, carbon monoxide, ozone and nitrogen dioxide, noise, temperature and humidity. The monitors were developed and tested in situ for three months in several overlapping deployments, before a full cohort of 40 was deployed in a heavy vehicle manufacturing facility for a year of data collection. The monitors collect data from each sensor and report them to a central database every 5 min. The work includes an experimental validation of the particle, gas and noise monitors. The R(2) for the particle sensor ranges between 0.98 and 0.99 for particle mass densities up to 300 μg/m(3). The R(2) for the carbon monoxide sensor is 0.99 for concentrations up to 15 ppm. The R(2) for the oxidizing gas sensor is 0.98 over the sensitive range from 20 to 180 ppb. The noise monitor is precise within 1% between 65 and 95 dBA. This work demonstrates the capability of distributed monitoring as a means to examine exposure variability in both space and time, building an important preliminary step towards a new approach for workplace hazard monitoring. MDPI 2018-05-03 /pmc/articles/PMC5982698/ /pubmed/29751534 http://dx.doi.org/10.3390/s18051411 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thomas, Geb W.
Sousan, Sinan
Tatum, Marcus
Liu, Xiaoxing
Zuidema, Christopher
Fitzpatrick, Mitchell
Koehler, Kirsten A.
Peters, Thomas M.
Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title_full Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title_fullStr Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title_full_unstemmed Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title_short Low-Cost, Distributed Environmental Monitors for Factory Worker Health
title_sort low-cost, distributed environmental monitors for factory worker health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982698/
https://www.ncbi.nlm.nih.gov/pubmed/29751534
http://dx.doi.org/10.3390/s18051411
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