By deeply integrating the Internet of Things (IoT), disaster big data, and 3D GIS technology, this solution is specifically designed to address the disconnect between “monitoring, early warning, and prevention/mitigation” in coal mine disasters. It focuses on providing early warning and prevention/mitigation for single or compound disasters in coal mines, including water, gas, roof collapses, rock bursts, and fires. By integrating multi-source data from geology, production, monitoring, and mitigation, the system constructs a dynamic risk model—a “single map for hazard transparency”—to enable intelligent hazard early warning and end-to-end control. The system features core capabilities such as multi-hazard integrated early warning, closed-loop management of prevention and control, and 3D visual command. It can dynamically assess risk levels, coordinate disaster response equipment, and intelligently plan evacuation routes. Deployed in over 40 mines, it has increased the efficiency of hazard identification by 95% and reduced the incidence of disasters by 90%, driving the transformation of coal mine safety management from “reactive response” to “proactive prevention and control.” Its technical highlights include breaking down data silos to enable information feedback between hazard monitoring and prevention processes, supporting automated equipment control and multi-system coordinated rescue operations, and adapting to complex geological conditions. It provides a comprehensive, intelligent hazard prevention and control solution for coal mines that ensures hazards are “visible and preventable.”