In underground metal mining, due to the specific characteristics of the work environment, the diffusion of high‐concentration dust poses serious threats to the health of workers and safe production. Therefore, efficient dust removal technology has become a key focus of current research. The characteristics and diffusion‐migration patterns of blast dust in metal mines were systematically analyzed, and the research progress in tracking dust removal systems was reviewed, covering dynamic dust perception methods and intelligent tracking control systems. Perception methods based on light scattering principles or combined with electrostatic sensing were proposed, along with multi‐technology integration for real‐time monitoring and dynamic prediction of dust. By comparing Chinese and international dust control standards for metal mines and aligning with the development trends of green mine construction, an implementation plan for intelligent dust tracking and management in metal mines was proposed, which was to establish an intelligent closed‐loop system featuring "dynamic perception, intelligent decision‐making, and dynamic supervision and execution". This research provides technical reference for the efficient management of dust in underground metal mines.