The mine integrated disaster prevention system can acquire real-time monitoring parameters of various mine conditions (such as underground methane, carbon monoxide, oxygen, smoke, wind speed, temperature, hydrological conditions, dust, fiber optics, bundle tubes, roof pressure, and personnel positioning). Utilizing big data and 2D/3D GIS technologies, the system constructs disaster models to achieve dynamic monitoring, predictive analysis, and early warning for six types of disasters: gas, water hazards, dust, roof pressure, fires, and rock bursts. By integrating platform AI algorithms, the system modularizes various risk prevention, disaster mitigation, and disaster evolution methods, and employs visualization to enable disaster simulation and modeling. Based on the mine's real-time 3D environment, it establishes a comprehensive prevention system with interconnected, interactive, and intelligent monitoring, early warning, and intelligent escape route planning for multiple disasters. The system builds a hierarchical risk control framework, integrating risk assessment capabilities through regional risk management with emergency drill systems to enable accident simulation and emergency rescue assistance, enhancing the capability to manage major emergency incidents and significant health and safety events.