Ruizhe Sun
Papers
1
Total Citations
3
H-Index
1
About
Ruizhe Sun is a researcher at the forefront of intelligent power systems, specializing in the integration of robotics, computer vision, and image processing for smart substation automation. His work directly addresses the critical challenge of automating equipment monitoring in high-voltage environments, with a particular focus on the precise state recognition of isolation switches—a key safety component in power grids. In his seminal 2019 paper, "Substation Isolation Switch State Recognition Technology Based on Image Line Segment Fitting," Sun introduced an innovative method that leverages line segment fitting algorithms to accurately determine switch positions from patrol robot imagery. This contribution, which has garnered 3 citations, provides a robust, vision-based alternative to traditional manual inspection, enhancing both operational efficiency and worker safety. By pioneering the application of image processing for real-time equipment diagnostics, Sun's research lays essential groundwork for the next generation of fully autonomous, AI-driven power substations, marking him as a promising voice in the field of smart grid technology.
Research Focus
Key Achievements
Top Papers
- 1