Zhilong Xu
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zhilong Xu is a leading researcher in intelligent power systems and computer vision, whose work is transforming the automation of smart substations. His primary research areas include image processing, robotics, and state recognition technologies for electrical equipment. Dr. Xu’s most notable contribution is the development of a novel "Substation Isolation Switch State Recognition Technology Based on Image Line Segment Fitting," which enables patrol robots to accurately determine the operational status of critical switchgear through visual analysis. This work, published in 2019, has garnered 3 citations and is foundational for integrating robotics into high-voltage environments. By combining advanced image segmentation with line-fitting algorithms, Dr. Xu has significantly improved the reliability and safety of remote substation monitoring, reducing the need for manual inspections. His research directly supports the evolution of smart grids, where autonomous robots equipped with intelligent vision systems can perform real-time diagnostics. For students and researchers, Dr. Xu’s work exemplifies the powerful intersection of classical image processing and modern robotics, offering a practical blueprint for enhancing infrastructure automation.
Research Focus
Key Achievements
Top Papers
- 1