To address the issues of manual operation dependence, delayed oversized material identification, insufficient production optimization, and crude dust collection control in the limestone crushing system of a cement production line in Huaikan, Huzhou, an intelligent system solution based on "AI Video Analytics + APC Intelligent Control" was developed. The technical solution primarily includes: AI Video Analytics (Cameras deployed at the unloading pit utilize the YOLO object detection algorithm to identify large/oversized material blocks and mud chunks in real-time, triggering voice alarms and interlocking control with the control system)、APC Intelligent Control (Centered on multivariable model predictive control (MPC), it establishes production optimization and dust control loops; dynamically adjusts the speed of the plate feeder and optimizes current setpoints;Automatically sets negative pressure values based on dust escape detection and regulates the dust collector fan’s damper opening)、DCS Function Upgrades (Added one-click start/stop functionality with standardized start/stop durations;Implemented differentiated responses to active/passive material interruptions;Enabled seamless APC-group control handover).After deployment, the system reduced average power consumption to 0.975kW·h/t, increased integrated unit output to 877.24t/h, significantly lowered operator workload, reduced blockage risks, and simultaneously improved capacity utilization and environmental performance.