Human-machine Collaborative Optimization Method for Multi-scale Monitoring Interface in Ship Fire Detection

Aiming to address the issues of insufficient visualization accuracy and inefficient situational awareness in traditional ship fire monitoring systems, this study proposes an interface optimization method integrating multi-scale display and dynamic information fusion, grounded in human-computer interaction design theory. By constructing a topological base map of the ship structure and abstracting the detector system into independent functional units using component-based modeling technology, synchronous zooming and panning controls for interface elements are implemented through a modular development framework. An innovative nested information synchronization algorithm is introduced to achieve refined monitoring of critical areas while maintaining global situational awareness. Experimental results indicate that the optimized monitoring interface enables multi-level zooming, significantly improves the identification accuracy of key regions, and enhances emergency decision-making efficiency. This work provides a theoretical foundation for the human-computer interaction design of intelligent ship firefighting systems, with practical implications for the development of visualization interfaces in large-scale complex systems.