The drone inspection technology combined with visual AI algorithms provides an efficient solution for safety management in cement engineering construction. Through a drone system equipped with industrial-grade HD cameras, infrared sensors and other devices, it realizes all-round intelligent monitoring of personnel safety behaviors (such as wearing protective equipment), equipment status (such as loose bolts of tower cranes) and environmental risks (such as dust). The system adopts a collaborative architecture of "drone + fixed camera + intelligent terminal", and combines edge computing and multi-source data fusion technology to achieve real-time hazard identification and hierarchical response. Compared with traditional inspections, the hazard recognition rate of the drone team has increased by 60%~80%, and the average single inspection time has been reduced by 58.4%. Through the fusion of thermal imaging and LiDAR point cloud data, the real-time recognition of construction personnel not wearing safety equipment has been successfully achieved. Facing technical bottlenecks such as recognition accuracy in complex environments and battery life limitations, the drone inspection technology continues to upgrade through lightweight AI models (such as YOLOv5) and multi-modal perception optimization, effectively promoting the digital and intelligent development of safety management in cement engineering.