Jianbao Zhu
Papers
2
Total Citations
5
H-Index
2
About
Jianbao Zhu is a researcher specializing in intelligent power substation automation, with a primary focus on computer vision and robotics for infrastructure monitoring. His work centers on developing machine vision technologies that enable autonomous patrol robots to recognize and assess the operational state of critical substation equipment. Zhu’s major contributions include novel image processing techniques for isolation switch state recognition, where he pioneered a method using image line segment fitting to accurately determine switch positions, and power cabinet door-opening state recognition through edge feature extraction from monocular vision. These innovations directly address the growing demand for smart, unmanned substations by enhancing the reliability and safety of automated inspections. His most-cited paper, “Substation Isolation Switch State Recognition Technology Based on Image Line Segment Fitting” (2019), has garnered 3 citations, while his work on power cabinet door-opening recognition (2019) has received 2 citations. Though early in his citation impact, Zhu’s research represents foundational steps toward fully autonomous substation monitoring systems, integrating robotics with advanced image analysis to reduce human intervention in high-risk electrical environments.
Research Focus
Key Achievements
Top Papers
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- 2