An Algorithmic Framework for Fire Behaviour Monitoring and Evaluation in Shipboard Extinguishing Operations

Abstract

This study presents a novel approach for ship fire assessment using a custom hybrid model and tailored image processing. The model utilizes auto-adaptive edge and colour detection algorithms to identify various fire features, including flames, smoke, and fire extent. It contributes significantly to firefighting research, particularly in ship fire detection, offering potential for early intervention in dynamic marine environments. Validation with the Carnival Freedom cruise ship fire confirms the model’s practicality. In summary, this study showcases the hybrid model’s effectiveness in fire analysis and firefighting performance evaluation, paving the way for further research in diverse scenarios. The insights gained are relevant for fire monitoring and evaluation in various contexts, encouraging future investigations into the model’s adaptability and efficient fire extinguishment strategies, enhancing fire safety and management.