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Correlation analysis between environmental pressure and vision-based flames from monitoring camera during depressurization process

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Abstract

The depressurization process usually occurs in a cargo compartment when an aircraft is taking off. The fire detection based on the vision-based flame has unique advantages in the confined and inaccessible environment. In this study, the n-heptane pool fires with a diameter of 30 cm were performed in a pressure cabin under decreasing pressure from 101 to 30 kPa. The vision-based flames were recorded by a high-resolution monitoring camera with a fixed aperture and exposure time. The shape features and texture features including flame area, perimeter, convexity, derived ratio, contrast, and correlation of gray-level co-occurrence matrix (GLCM) were extracted, which form a multidimensional vector. Then, the dimensionality reduction was conducted using principal component analysis (PCA) method, and a principal component was obtained to characterize the flame image, whose value had an excellent linear relationship with the instantaneous decreasing pressure. Further, the relationship was verified by a series of 20-cm-diameter pool fires. The study proves the feasibility of the quantitative fire detection method based on visual flame and provides the theoretical basics in applying to the confined and inaccessible space.

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. U2033206), the National Key Research & Development (R&D) Plan (Grant No. 2018YFC0809500), Science and Technology Project of State Grid General Aviation Company Limited (Grant No. 1100/2021-440038), Guizhou Scientific Support Project (Grant No. 2021 General 514), and the Fundamental Research Funds for the Central Universities (Grant No. 2020XJAQ02).

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Authors and Affiliations

  1. School of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing, China

    Cong Li & Chengwu Li

  2. China Academy of Electronics and Information Technology, Beijing, China

    Yina Yao

  3. Department of Engineering Physics, Tsinghua University, Beijing, China

    Cong Li, Rui Yang & Hui Zhang

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  1. Cong Li
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  2. Yina Yao
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  3. Rui Yang
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  4. Chengwu Li
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  5. Hui Zhang
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Correspondence to Cong Li.

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Li, C., Yao, Y., Yang, R. et al. Correlation analysis between environmental pressure and vision-based flames from monitoring camera during depressurization process. SIViP 16, 1369–1377 (2022). https://doi.org/10.1007/s11760-021-02089-9

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  • DOI: https://doi.org/10.1007/s11760-021-02089-9

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