A multi-task and multi-parameter inversion approach for metro carriage fires in interval tunnels based on an enhanced transformer model

Key Points

• The multi-task inversion approach significantly improves fire detection in metro carriage fires, enhancing safety.
• Critical results indicate a 35% increase in fire recognition accuracy using the enhanced transformer model.
• Assessment deployed advanced algorithms to analyze fire dynamics in interval tunnels using real-time data.
• Findings emphasize the need for implementing such models in urban transit systems to improve passenger safety.