Research on the risk identification of LNG terminal station based on fuzzy analysis method

Fen Ye; Shuangquan Zhang; Liangliang Lv; Qiang Han; Huailin Du

doi:10.1117/12.3011665

7 December 2023 Research on the risk identification of LNG terminal station based on fuzzy analysis method

Fen Ye, Shuangquan Zhang, Liangliang Lv, Qiang Han, Huailin Du

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412P (2023) https://doi.org/10.1117/12.3011665
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

As a clean chemical energy source, LNG is widely used in daily production and life, so the study of LNG terminal and its risks is extremely important. In this paper, the fuzzy analysis method is used to establish a fuzzy analysis model of the potential risk of LNG terminal, by analyzing the weight of the potential risk factors of LNG terminals, it is found that natural disasters, unloading operation and power station environment are the most important factors causing the potential risks of LNG terminals, so that a series of potential risk control measures are proposed according to the risk factors.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fen Ye, Shuangquan Zhang, Liangliang Lv, Qiang Han, and Huailin Du "Research on the risk identification of LNG terminal station based on fuzzy analysis method", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412P (7 December 2023); https://doi.org/10.1117/12.3011665

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