Research and Application of Environmental Background Radiation Deduction Methods for Passive FTIR Spectral Imaging

Passive Fourier transform infrared (FTIR) spectral imaging technology is easily affected by complex background radiation for leakage monitoring at natural gas stations, leading to low gas identification sensitivity, poor detection accuracy and a high false alarm rate. To address these issues, the spectral characteristics of typical background interference sources and their impact mechanisms were first analyzed in this work. Subsequently, a targeted background denoising method was developed and then on-site gas release experiments were conducted in a typical natural gas station. The results demonstrated that the proposed background denoising method can effectively suppress complex environmental background interference and reduce the false alarm rate. This study provides a solution for enhancing the reliability and practicality of passive FTIR spectral imaging technology in remote gas leakage monitoring at industrial sites.

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Publication Details

Journal
Fire
Published
2026-05-08
DOI
https://doi.org/10.3390/fire9050196
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Research and Application of Environmental Background Radiation Deduction Methods for Passive FTIR Spectral Imaging

Bingcai Sun, Jipei Sun, Yinghua Jing, Jinrui Deng et al.
Fire
Oil Spill Detection and Mitigation
article

Research and Application of Environmental Background Radiation Deduction Methods for Passive FTIR Spectral Imaging

Bingcai Sun, Jipei Sun, Yinghua Jing, Jinrui Deng, Xin Xu, Haiping Bai, Yaqiang Su, Jinyou Wang, Wencheng Miao
article en

Abstract

Passive Fourier transform infrared (FTIR) spectral imaging technology is easily affected by complex background radiation for leakage monitoring at natural gas stations, leading to low gas identification sensitivity, poor detection accuracy and a high false alarm rate. To address these issues, the spectral characteristics of typical background interference sources and their impact mechanisms were first analyzed in this work. Subsequently, a targeted background denoising method was developed and then on-site gas release experiments were conducted in a typical natural gas station. The results demonstrated that the proposed background denoising method can effectively suppress complex environmental background interference and reduce the false alarm rate. This study provides a solution for enhancing the reliability and practicality of passive FTIR spectral imaging technology in remote gas leakage monitoring at industrial sites.

FireVol. 9(5)
Daqing Oilfield General Hospital (CN), Oil and Gas Center (CN)
Openalex Percentile: Top 9%
Oil Spill Detection and Mitigation
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