Data-Driven Prediction Methods for Real-Time Indoor Fire Scenario Inferences

Data-Driven Prediction Methods for Real-Time Indoor Fire Scenario Inferences

High temperatures, toxic gases, and smoke resulting from indoor fires pose evident threats to the lives of both trapped individuals and firefighters. This study aims to predict indoor fire development effectively, facilitating rapid rescue decisions and minimizing casualties and property damage. A c...

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Bibliographic Details
Main Authors: Lu Zhang, Like Mo, Cheng Fan, Haijun Zhou, Yangping Zhao
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Fire
Subjects:
indoor fire
artificial intelligence
fire detection and deduction
CFD simulation
building safety
Online Access:https://www.mdpi.com/2571-6255/6/10/401

Internet

https://www.mdpi.com/2571-6255/6/10/401

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