Xiongpeng Qin
Papers
1
Total Citations
10
H-Index
1
About
Dr. Xiongpeng Qin is a leading researcher in intelligent power grid inspection, with a primary focus on the integration of robotics, multi-sensor fusion, and knowledge-driven artificial intelligence. His most-cited work, "Multi-source fusion of substation intelligent inspection robot based on knowledge graph: A overview and roadmap" (2022, 10 citations), provides a foundational framework for enhancing substation patrol efficiency. Dr. Qin’s major contribution lies in pioneering the use of knowledge graphs to synthesize data from diverse sensors—such as thermal imaging, LiDAR, and acoustic detectors—enabling inspection robots to interpret complex environments and make autonomous decisions. This approach directly addresses the growing challenges of expanding substation areas and increasingly intricate operating conditions. By mapping a clear technical roadmap, his research has become a key reference for advancing smart grid automation and predictive maintenance. Dr. Qin’s work not only improves operational safety and reliability but also reduces human labor in hazardous settings. His innovative fusion of knowledge representation with robotics positions him as a vital contributor to the next generation of intelligent energy infrastructure.
Research Focus
Key Achievements
Top Papers
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