Real-time Prediction of Explosion Consequences during Gas Leakage in Tunnels Using a Two-stage Deep Learning Framework

Key Points

• Explosion prediction is significantly enhanced by real-time monitoring in tunnel environments, improving safety measures.
• The two-stage deep learning framework used in this analysis captures complex patterns from historical explosion data, leading to quicker response times.
• Real-time monitoring techniques were leveraged in this study to create accurate predictions regarding gas leakage incidents in tunnels.
• Findings may enable better safety protocols and more efficient emergency responses in the construction and transportation sectors.