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...
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Format: | Article |
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MDPI AG
2023-01-01
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Series: | Toxics |
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Online Access: | https://www.mdpi.com/2305-6304/11/1/83 |
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author | Kun Li Shaoli Duan Lingling Pang Weilai Li Zhixiong Yang Yaohang Hu Chunchao Yu |
author_facet | Kun Li Shaoli Duan Lingling Pang Weilai Li Zhixiong Yang Yaohang Hu Chunchao Yu |
author_sort | Kun Li |
collection | DOAJ |
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. |
first_indexed | 2024-03-09T11:05:52Z |
format | Article |
id | doaj.art-2019b16af6b74f9ba99ea503a0615eae |
institution | Directory Open Access Journal |
issn | 2305-6304 |
language | English |
last_indexed | 2024-03-09T11:05:52Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Toxics |
spelling | doaj.art-2019b16af6b74f9ba99ea503a0615eae2023-12-01T00:56:12ZengMDPI AGToxics2305-63042023-01-011118310.3390/toxics11010083Chemical Gas Telemetry System Based on Multispectral Infrared ImagingKun Li0Shaoli Duan1Lingling Pang2Weilai Li3Zhixiong Yang4Yaohang Hu5Chunchao Yu6Kunming Institute of Physics, Kunming 650223, ChinaKunming Institute of Physics, Kunming 650223, ChinaKunming Institute of Physics, Kunming 650223, ChinaSchool of Opto-Electronical Engineering, Xi’an Technological University, Xi’an 710021, ChinaKunming Institute of Physics, Kunming 650223, ChinaKunming Institute of Physics, Kunming 650223, ChinaKunming Institute of Physics, Kunming 650223, ChinaEnvironmental 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.https://www.mdpi.com/2305-6304/11/1/83gas detectioninfrared imagingmultispectral |
spellingShingle | Kun Li Shaoli Duan Lingling Pang Weilai Li Zhixiong Yang Yaohang Hu Chunchao Yu Chemical Gas Telemetry System Based on Multispectral Infrared Imaging Toxics gas detection infrared imaging multispectral |
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 | gas detection infrared imaging multispectral |
url | https://www.mdpi.com/2305-6304/11/1/83 |
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