Abstract: As a key step in mineral processing，the operational stability of grinding directly affects the recovery rate and concentrate grade of subsequent flotation operations. In response to issues such as sig⁃ nificant fluctuations in ore feed，low equipment efficiency，and high energy consumption in a 4 000 t/ d grinding-classification production line in a mine，applied research on intelligent optimization control tech⁃ nology for the grinding process was conducted. By establishing a three-layer closed-loop intelligent control system of "perception-decision-execution"，integrating four functional modules—intelligent feed control， intelligent mill regulation，intelligent classification management，and monitoring statistics—and combin⁃ ing hardware systems such as particle size analysis，vibration monitoring，and online detection of density and particle size，real-time monitoring and adaptive control of the entire grinding process were achieved. After the system was put into operation，the stability of key process parameters significantly improved. Ore feed fluctuations were controlled within ±10 t/h，the SAG mill density stabilized at 62%±1%，the qualified rate of flotation feed particle size increased to over 90%，and the specific power consumption of the SAG mill decreased from 5.45 kW·h/t to 5.33 kW·h/t，resulting in an annual electricity saving of approximately 158 400 kW·h. The study demonstrates that this intelligent optimization control system effectively enhanc⁃ es the stability，equipment utilization rate，and energy efficiency of the grinding process，providing a feasi⁃ ble technical pathway for the safe，efficient operation，and intelligent upgrading of similar mining grinding processes.

Key words: grinding, intelligent control, concentration, particle size, DCS