Band optimization of passive methane gas leak detection based on uncooled infrared focal plane array

Xu, Zhuo; Jin, Weiqi; Li, Li; Wang, Xia; Chen, Ji; Jia, Yuchao

doi:10.1364/ao.57.003991

Cited by 16 publications

(6 citation statements)

References 16 publications

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“…The accumulated gray value (AGV) and the actual imaging area (AIA) were used as semi-quantitative analysis metrics to allow slightly rotted grapes to be separated quickly from severely rotted grapes. In another study by Xu et al [ 53 ], Spectrogon’s Bandpass Interference Filters (BBP-3000-5000) were used in conjunction with a broadband uncooled IRFPA to perform methane gas detection. Two filter types were selected to target the mid-infrared and long-wave infrared absorption peaks for methane, with spectral passbands of 3–5 μm and 6.5–8.5 μm, respectively.…”

Section: Methodsmentioning

confidence: 99%

Gas Imaging with Uncooled Thermal Imager

Zhang,

Chen,

Lin

et al. 2024

Sensors

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Gas imaging has become one of the research hotspots in the field of gas detection due to its significant advantages, such as high efficiency, large range, and dynamic visualization. It is widely used in industries such as natural gas transportation, chemical, and electric power industries. With the development of infrared detector technology, uncooled thermal imagers are undergoing a developmental stage of technological advancement and widespread application. This article introduces a gas imaging principle and radiation transfer model, focusing on passive imaging technology and active imaging technology. Combined with the actual analysis, the application scenarios using uncooled thermal imaging cameras for gas imaging measurement are analyzed. Finally, the limitations and challenges of the development of gas imaging technology are analyzed.

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Section: Methodsmentioning

confidence: 99%

Gas Imaging with Uncooled Thermal Imager

Zhang,

Chen,

Lin

et al. 2024

Sensors

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“…The IR imaging technique has been widely employed in gases for leak detection [61,62] and to measure temperature. For example, Safitri and Mannan [63] have detected the leak and studied temperature by directly measuring the IR signal of methane gas, which is the major constituent in liquefied natural gas (LNG).…”

Section: Applicability Of Irt To Gas Microflows and Current Limitationsmentioning

confidence: 99%

Review of Optical Thermometry Techniques for Flows at the Microscale towards Their Applicability to Gas Microflows

et al. 2022

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Thermometry techniques have been widely developed during the last decades to analyze thermal properties of various fluid flows. Following the increasing interest for microfluidic applications, most of these techniques have been adapted to the microscale and some new experimental approaches have emerged. In the last years, the need for a detailed experimental analysis of gaseous microflows has drastically grown due to a variety of exciting new applications. Unfortunately, thermometry is not yet well developed for analyzing gas flows at the microscale. Thus, the present review aims at analyzing the main currently available thermometry techniques adapted to microflows. Following a rapid presentation and classification of these techniques, the review is focused on optical techniques, which are the most suited for application at microscale. Their presentation is followed by a discussion about their applicability to gas microflows, especially in confined conditions, and the current challenges to be overcome are presented. A special place is dedicated to Raman and molecular tagging thermometry techniques due to their high potential and low intrusiveness.

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“…Hence, a technology combining thermal radiation and infrared absorption was proposed to capture the image of specific gas leaking. Zhang et al utilized an uncooled planar vanadium oxide detector with specific wavelength band from 3 to 5 μm to form an image for the leakage of methane . Kasai et al utilized a gas leak detection system composed of a CIE (carbon infrared emitter,1–5 μm) and an infrared camera to obtain clear real-time images of propane gas leaks by obtaining the infrared absorption band of propane gas (3.37 μm) with a bandpass filter .…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al utilized an uncooled planar vanadium oxide detector with specific wavelength band from 3 to 5 μm to form an image for the leakage of methane. 22 Kasai et al utilized a gas leak detection system composed of a CIE (carbon infrared emitter,1−5 μm) and an infrared camera to obtain clear realtime images of propane gas leaks by obtaining the infrared absorption band of propane gas (3.37 μm) with a bandpass filter. 23 Jin et al proposed a broadband infrared imaging detection system for gas leakage based on the uncooled focal plane array detector.…”

Section: Introductionmentioning

confidence: 99%

Gas Leakage Recognition Based on Wide-Band Infrared Imaging with the Auxiliary Excitation Method and Machine Learning Model

Liu

Fan

et al. 2022

ACS Chem. Health Saf.

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Dangerous gas leakage may cause severe consequences in industrial fields. Hence, it is significant to develop a reliable and rapid method for gas leakage recognition. Infrared imaging technology has a privilege of visibility for some invisible objects. However, infrared radiation signals of the gases are extremely weak. Therefore, it is hard to identify the gas leakage by normal infrared imaging device with wide wavelength range in the condition of atmospheric dispersion. In this research, a series of enhancement methods to detect the gas leakage with conventional wide-wavelength thermal imaging device was proposed by introducing auxiliary excitation including background enhancement and external thermal pulse excitation to improve the infrared imaging for gas leaking in the atmosphere. CO2 gas leakage was tested with FLIR-DuoR infrared camera under different auxiliary excitation modes. The experiments showed that it was impossible to recognize the leaking gases by infrared imager without any auxiliary means even there had large temperature difference between the leaking gases and background. Proper backboard did make the gas leaking visible except the white board for gas leaking at room temperature. However, the auxiliary background board with different materials demonstrated varied performance for imaging enhancement. Moreover, the auxiliary excitation with light-thermal pulse excitation also enhanced the infrared imaging for gas leakage. Finally, a leakage recognition method with machine learning model was proposed based on infrared images obtained from the experiments. The result indicated that overall prediction accuracy was above 95%. Therefore, the gas leakage recognition method based on normal infrared imaging with auxiliary excitation means and machine learning model is a potentially good tool to detect and distinguish the gas leakage.

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Band optimization of passive methane gas leak detection based on uncooled infrared focal plane array

Cited by 16 publications

References 16 publications

Gas Imaging with Uncooled Thermal Imager

Gas Imaging with Uncooled Thermal Imager

Review of Optical Thermometry Techniques for Flows at the Microscale towards Their Applicability to Gas Microflows

Gas Leakage Recognition Based on Wide-Band Infrared Imaging with the Auxiliary Excitation Method and Machine Learning Model

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