Xie Shaoyu
Papers
1
Total Citations
5
H-Index
1
About
Xie Shaoyu is a researcher advancing the field of intelligent power systems, with a primary focus on substation automation, image recognition technology, and remote monitoring solutions. His most-cited work, "Design and Research of Intelligent Operation Inspection and Monitoring System of Substation Based on Image Recognition Technology" (2022, 5 citations), addresses the critical challenge of enabling fully unattended substation operations. In this study, Xie proposes a comprehensive framework for an intelligent operation and inspection monitoring system, detailing its structural design, functional modules, and optimized software and hardware configurations. By integrating image recognition technology, his system enhances real-time fault detection and operational safety, reducing the need for manual inspections. This contribution is particularly significant for modernizing power grids, improving efficiency, and minimizing human error in high-risk environments. Xie’s research bridges the gap between traditional electrical engineering and cutting-edge computer vision, offering practical pathways toward smarter, more autonomous energy infrastructure. His work continues to influence the development of next-generation monitoring systems in the power industry.
Research Focus
Key Achievements
Top Papers
- 1