Infrared thermal imaging system for carbon dioxide leak detection

Carbon dioxide (CO2) is an essential industrial gas, employed in a multitude of applications including greenhouse agriculture monitoring, industrial exhaust control, and medical diagnostics. In the event of a CO2 leak in a confined space, excessive exposure may lead to adverse physiological response...

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Main Author: Li, Shuyu
Other Authors: Wang Qijie
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/181150
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1811502024-11-22T15:45:35Z Infrared thermal imaging system for carbon dioxide leak detection Li, Shuyu Wang Qijie School of Electrical and Electronic Engineering qjwang@ntu.edu.sg Engineering Thermal imaging Carbon dioxide (CO2) is an essential industrial gas, employed in a multitude of applications including greenhouse agriculture monitoring, industrial exhaust control, and medical diagnostics. In the event of a CO2 leak in a confined space, excessive exposure may lead to adverse physiological responses in humans. Accordingly, this paper examines the infrared thermal imaging detection platform for CO2 leakage, based on gas passive infrared imaging technology. In addition, image fusion technology is employed to combine the infrared image with the visible image, producing a final image that incorporates both temperature data and detailed background information. In this paper, the following three main aspects are carried out: This paper begins by investigating the four fundamental laws of thermal infrared radiation. Building on this foundation, it then analyses the radiation transfer model of passive gas infrared thermography and further simplifies the layer radiation transfer model. Subsequently, in accordance with the overall requirements of the theoretical component of the infrared thermal imaging CO2 detection and identification system, the CO2 generator, thermal camera, gas chamber, data acquisition and processing PC are integrated to construct an infrared CO2 thermal imaging platform. Furthermore, the imaging quality of the system and the detection ability of CO2 under different flow rates are also tested and analysed. Finally, an algorithm based on MATLAB is designed to realise image fusion, and image fusion is carried out using CO2 infrared and visible images under different flow rates. The results demonstrate that the image fusion process yields more desirable outcomes, exhibiting a certain degree of validity and ubiquity. Master's degree 2024-11-18T01:00:42Z 2024-11-18T01:00:42Z 2024 Thesis-Master by Coursework Li, S. (2024). Infrared thermal imaging system for carbon dioxide leak detection. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181150 https://hdl.handle.net/10356/181150 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Thermal imaging
spellingShingle Engineering
Thermal imaging
Li, Shuyu
Infrared thermal imaging system for carbon dioxide leak detection
description Carbon dioxide (CO2) is an essential industrial gas, employed in a multitude of applications including greenhouse agriculture monitoring, industrial exhaust control, and medical diagnostics. In the event of a CO2 leak in a confined space, excessive exposure may lead to adverse physiological responses in humans. Accordingly, this paper examines the infrared thermal imaging detection platform for CO2 leakage, based on gas passive infrared imaging technology. In addition, image fusion technology is employed to combine the infrared image with the visible image, producing a final image that incorporates both temperature data and detailed background information. In this paper, the following three main aspects are carried out: This paper begins by investigating the four fundamental laws of thermal infrared radiation. Building on this foundation, it then analyses the radiation transfer model of passive gas infrared thermography and further simplifies the layer radiation transfer model. Subsequently, in accordance with the overall requirements of the theoretical component of the infrared thermal imaging CO2 detection and identification system, the CO2 generator, thermal camera, gas chamber, data acquisition and processing PC are integrated to construct an infrared CO2 thermal imaging platform. Furthermore, the imaging quality of the system and the detection ability of CO2 under different flow rates are also tested and analysed. Finally, an algorithm based on MATLAB is designed to realise image fusion, and image fusion is carried out using CO2 infrared and visible images under different flow rates. The results demonstrate that the image fusion process yields more desirable outcomes, exhibiting a certain degree of validity and ubiquity.
author2 Wang Qijie
author_facet Wang Qijie
Li, Shuyu
format Thesis-Master by Coursework
author Li, Shuyu
author_sort Li, Shuyu
title Infrared thermal imaging system for carbon dioxide leak detection
title_short Infrared thermal imaging system for carbon dioxide leak detection
title_full Infrared thermal imaging system for carbon dioxide leak detection
title_fullStr Infrared thermal imaging system for carbon dioxide leak detection
title_full_unstemmed Infrared thermal imaging system for carbon dioxide leak detection
title_sort infrared thermal imaging system for carbon dioxide leak detection
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/181150
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