Name: Liu Zhongyun
Gender: Male
Professional Title: Lecturer
Degree: Ph.D.
Education and Work Experience:
1. September 2012–July 2018, Bachelor's and Master's degrees in Mechanical Engineering, Henan Polytechnic University
2. September 2018–December 2022, Ph.D. in Mechatronic Engineering, Wuhan University
3. February 2023–present, Lecturer, School of Automation and Electrical Engineering, Zhongyuan University of Technology
Research Directions:
1. Image processing and pattern recognition
2. Robotic inspection technologies for high-voltage transmission lines
3. Unmanned aerial vehicle technologies
Academic Research Projects:
1. Industry-sponsored Project: Development and Design of an Intelligent Visual Inspection System for High-Voltage Transmission Lines Using Multirotor UAVs (No. 5322240071), Principal Investigator.
2. Department of Education Project: Research on Key Robotic Visual Inspection Technologies for Typical Components and Their Defects in High-Voltage Transmission Lines (No. 25A510012), Principal Investigator.
Representative Papers:
1. Liu Z, Wu G*, He W, et al. Key target and defect detection of high-voltage power transmission lines with deep learning[J]. International Journal of Electrical Power & Energy Systems, 2022, 142: 108277.
2. Wang Hao, Wu Gongping, Liu Zhongyun*. A Transmission Conductor Detection Algorithm Based on Adaptive Canny Edge Detection[J]. Journal of Yangzhou University (Natural Science Edition), 2020.
3. Wenshan He, Gongping Wu, Zhongyun Liu, Shujie Zhou. A Robust Real-Time Ellipse Detection Method for Robot Applications, Drones, 2023, 7(3): 209.
Contact:Email: zyliu@zut.edu.cn
