A novel unmanned aerial vehicle driven real-time situation awareness for fire accidents in chemical tank farms-Reference-Cited by-同舟云学术

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A novel unmanned aerial vehicle driven real-time situation awareness for fire accidents in chemical tank farms

Published:2024-10 Issue: Volume:91 Page:105357
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Sheng Hao,Chen Guohua,Li Xiaofeng,Men Jinkun,Xu Qiming,Zhou Lixing^ORCID,Zhao Jie

Publisher

Elsevier BV

Reference67 articles.

1. Consequence analysis of large-scale pool fire in oil storage terminal based on computational fluid dynamic (CFD);Ahmadi;Process Saf. Environ. Prot.,2019

2. Improved pool fire-initiated domino effect assessment in atmospheric tank farms using structural response;Amin;Reliab. Eng. Syst. Saf.,2024

3. Dynamic Domino Effect Assessment (D2EA) in tank farms using a machine learning-based approach;Amin;Comput. Chem. Eng.,2024

4. Estimating large pool fire burning rates;Babrauskas;Fire Technol.,1983

5. Yolact: real-time instance segmentation;Bolya,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Identification of Flammable Chemicals Based on Broad Learning System;Process Safety and Environmental Protection;2024-09

2. The Storage Tank Explosion Damage and the Effectiveness of Control Measures in the Chemical Industrial Parks of Smart Cities;Electronics;2024-07-13

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