Research on substation lifting safety early warning technology based on machine vision

Controlling the safety distance of crane arm lifting is a crucial requirement for high-voltage substation lifting operations. However, precise positioning is difficult to achieve with a single sensor. Therefore, this paper proposes a multi-sensor fusion approach that utilizes UWB (Ultra-Wideband) for global detection of crane and boom positions, binocular cameras to determine the distance between the top of the boom and overhead power lines, and depth point cloud cameras to detect the distance between the boom and surrounding objects in the substation environment. The integration of this information enables real-timse monitoring of operational conditions to achieve safe lifting operations. Through system testing, we achieved excellent early warning results, ensuring the safety of lifting operations and demonstrating the advanced nature of this research.