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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2024
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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 |
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Engineering Thermal imaging Li, Shuyu Infrared thermal imaging system for carbon dioxide leak detection |
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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. |
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Wang Qijie |
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Wang Qijie Li, Shuyu |
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Thesis-Master by Coursework |
author |
Li, Shuyu |
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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 |
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Infrared thermal imaging system for carbon dioxide leak detection |
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Infrared thermal imaging system for carbon dioxide leak detection |
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infrared thermal imaging system for carbon dioxide leak detection |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/181150 |
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