Yan Dai

Papers

Total Citations

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About

Dr. Yan Dai is a researcher specializing in intelligent inspection systems for electrical substations, with a particular focus on the application of unmanned aerial vehicles (UAVs) and automation technologies. Their most cited work, "GIS Room Autonomous Inspection System Based on Multi-rotor UAV" (2021, 4 citations), addresses a critical challenge in power infrastructure maintenance: the safe, efficient monitoring of gas-insulated switchgear (GIS) rooms. In these environments, numerous SF6 pointer meters must be regularly read to ensure the integrity of the insulating gas within closed metal pipelines—a task that is both labor-intensive and hazardous for human inspectors. Dr. Dai’s contribution lies in designing an autonomous multi-rotor UAV system capable of navigating these confined, high-voltage spaces to perform visual inspections, thereby improving accuracy and reducing personnel risk. While their citation count is still growing, this work represents a practical, innovative step toward modernizing substation operations. Dr. Dai’s research sits at the intersection of robotics, computer vision, and power engineering, offering a scalable solution for the smart grid era.