Cargando…

Chemical Gas Telemetry System Based on Multispectral Infrared Imaging

Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Kun, Duan, Shaoli, Pang, Lingling, Li, Weilai, Yang, Zhixiong, Hu, Yaohang, Yu, Chunchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867235/
https://www.ncbi.nlm.nih.gov/pubmed/36668809
http://dx.doi.org/10.3390/toxics11010083
_version_ 1784876291900571648
author Li, Kun
Duan, Shaoli
Pang, Lingling
Li, Weilai
Yang, Zhixiong
Hu, Yaohang
Yu, Chunchao
author_facet Li, Kun
Duan, Shaoli
Pang, Lingling
Li, Weilai
Yang, Zhixiong
Hu, Yaohang
Yu, Chunchao
author_sort Li, Kun
collection PubMed
description Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during safety production and hazardous chemical accident rescue. In this study, a gas detection system based on multispectral infrared imaging is devised, which can detect a variety of gases and determine the types of gas by separating the infrared radiation. It is made up of an imaging optical system, an uncooled focal plane detector, a filter controller, and a data gathering and processing system. The resolution of the infrared image is 640 × 512 and the working band of the system is 6.5~15 μm. The system can detect traces of pollutants in ambient air or gas clouds at higher concentrations. Ammonia, sulfur hexafluoride, methane, sulfur dioxide, and dimethyl methyl phosphonate were all successfully detected in real time. Ammonia clouds could be detected at a distance of 1124.5 m.
format Online
Article
Text
id pubmed-9867235
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98672352023-01-22 Chemical Gas Telemetry System Based on Multispectral Infrared Imaging Li, Kun Duan, Shaoli Pang, Lingling Li, Weilai Yang, Zhixiong Hu, Yaohang Yu, Chunchao Toxics Article Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during safety production and hazardous chemical accident rescue. In this study, a gas detection system based on multispectral infrared imaging is devised, which can detect a variety of gases and determine the types of gas by separating the infrared radiation. It is made up of an imaging optical system, an uncooled focal plane detector, a filter controller, and a data gathering and processing system. The resolution of the infrared image is 640 × 512 and the working band of the system is 6.5~15 μm. The system can detect traces of pollutants in ambient air or gas clouds at higher concentrations. Ammonia, sulfur hexafluoride, methane, sulfur dioxide, and dimethyl methyl phosphonate were all successfully detected in real time. Ammonia clouds could be detected at a distance of 1124.5 m. MDPI 2023-01-15 /pmc/articles/PMC9867235/ /pubmed/36668809 http://dx.doi.org/10.3390/toxics11010083 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
Li, Kun
Duan, Shaoli
Pang, Lingling
Li, Weilai
Yang, Zhixiong
Hu, Yaohang
Yu, Chunchao
Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title_full Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title_fullStr Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title_full_unstemmed Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title_short Chemical Gas Telemetry System Based on Multispectral Infrared Imaging
title_sort chemical gas telemetry system based on multispectral infrared imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867235/
https://www.ncbi.nlm.nih.gov/pubmed/36668809
http://dx.doi.org/10.3390/toxics11010083
work_keys_str_mv AT likun chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT duanshaoli chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT panglingling chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT liweilai chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT yangzhixiong chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT huyaohang chemicalgastelemetrysystembasedonmultispectralinfraredimaging
AT yuchunchao chemicalgastelemetrysystembasedonmultispectralinfraredimaging