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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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 |
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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 |
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