Abstract: Aiming to address the issues of numerous regulatory blind spots, outdated methods, and insufficient data authenticity in traditional "human defense" models of mine safety management, this study explores the intelligent transformation of mine safety governance under the driving forces of policy support, technological maturity, and industry demand. By analyzing current shortcomings and practical challenges in mine safety governance, the study establishes a technical application system centered on UAV-based 3D mapping and digital mine maps. This system encompasses aerial survey planning, high-precision 3D modeling, automated engineering parameter calculation, 3D visual semantic recognition, and multi-period model comparative analysis, defining the technical roadmap and implementation pathway. The system enables automatic monitoring of mine deformation, intelligent hazard identification, and dynamic mine map updates, empowering both government agencies with precise supervision and enterprises with self-controlled safety measures. It promotes the upgrade of mine safety governance toward intelligent and refined closed-loop management, providing technical support for resolving mine safety governance challenges.