Research on Fire Safety Emergency Management Model Based on Multi-Agent Simulation

With the acceleration of urbanization, fire safety emergency management faces challenges such as delayed data, insufficient coordination, and weak predictive capabilities. The development of artificial intelligence (AI) technology provides a new path to solve these problems. As a cutting-edge method for simulating complex system interactions, multi-agent simulation (MAS) can effectively integrate AI’s real-time perception, intelligent decision-making, and automated execution capabilities to build a new fire emergency management model of “active prevention and control - precise response - dynamic coordination”. Through the construction of simulation models, this study deeply analyzes the application of multi-agent simulation in fire safety emergency management models, providing decision support for relevant management departments.