Research on the risk assessment method of forest fire induced by distribution lines in forest areas based on fuzzy theory

Jun Wang; Yao Wang; Yihai Li; Zhenglei Wang; Liangcheng Fan

doi:10.1117/12.3051394

18 November 2024 Research on the risk assessment method of forest fire induced by distribution lines in forest areas based on fuzzy theory

Jun Wang, Yao Wang, Yihai Li, Zhenglei Wang, Liangcheng Fan

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340311 (2024) https://doi.org/10.1117/12.3051394
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

This study explores the influence of distribution line faults on forest fire risk, employing fuzzy theory and electric fire risk factor algorithms for comprehensive risk assessment. In this study, the effects of various fault types on forest fire risk were examined and analyzed by constructing a fuzzy rule base and an affiliation function. Through a detailed case study, this article demonstrates the application of these methods in assessing forest fire risk within a specific area. This study presents a systematic approach for assessing and managing the risk of forest fires resulting from electric power facilities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jun Wang, Yao Wang, Yihai Li, Zhenglei Wang, and Liangcheng Fan "Research on the risk assessment method of forest fire induced by distribution lines in forest areas based on fuzzy theory", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340311 (18 November 2024); https://doi.org/10.1117/12.3051394

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