Research on Risk Assessment and Simulation Training 3D Model in Fire Rescue Skill Training

This study proposes a fire rescue skill training system based on particle swarm optimization algorithm, and conducts a detailed experimental simulation analysis of its performance. The system includes algorithm design, 3D simulation training module, rescue path planning and risk assessment, and realizes efficient rescue path planning in complex environments through particle swarm optimization algorithm. The experimental results show that in the simulated high-rise building fire and chemical leakage scenes, the rescue path planning time after using this algorithm is shortened by about 25% compared with the traditional algorithm, the path length is reduced by 15% on average, and more than 98% of dangerous areas are avoided. In addition, the prediction accuracy of the risk assessment module is improved by more than 20%, and potential risks can be identified more accurately. The significant advantages of the system in improving rescue efficiency, optimizing path planning and reducing training risks are verified. This result shows that the 3D simulation training system based on particle swarm optimization algorithm has broad potential and important application value in practical applications.