首页|A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies

A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies

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Bushfires are devastating to forest managers,owners,residents,and the natural environment.Recent tech-nological advances indicate a potential for faster response times in terms of detecting and suppressing fires.However,to date,all these technologies have been applied in isola-tion.This paper introduces the latest fire detection and sup-pression technologies from ground to space.An operations research method was used to assemble these technologies into a theoretical framework for fire detection and suppres-sion.The framework harnesses the advantages of satellite-based,drone,sensor,and human reporting technologies as well as image processing and artificial intelligence machine learning.The study concludes that,if a system is designed to maximise the use of available technologies and carefully adopts them through complementary arrangements,a fire detection and resource suppression system can achieve the ultimate aim:to reduce the risk of fire hazards and the dam-age they may cause.

Forest fireResource suppressionSmart fire detection and suppression systemForest fire managementHolistic system

Li Meng、Jim O'Hehir、Jing Gao、Stefan Peters、Anthony Hay、Yu Lei

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University of South Australia,Adelaide,SA,Australia

Esk Spatial,Invermay,TAS,Australia

National Institute for Forest Products Innovation(NIFPI)AustraliaOpen Access funding enabled and organized by CAUL

NS034

2024

10.1007/s11676-024-01737-3

林业研究(英文版)
东北林业大学,中国生态学学会

林业研究(英文版)

CSTPCDEI
影响因子：0.365
ISSN：1007-662X
年,卷(期)：2024.35(5)