Guangli Guo

China University of Mining and Technology

Papers

Total Citations

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About

Guangli Guo is a leading researcher in structural health monitoring and geotechnical engineering, with a focus on integrating advanced sensing technologies for infrastructure safety. His work centers on the development of non-contact, high-precision measurement methods for assessing the condition of critical structures such as sluices and dams. In his highly cited 2019 paper, "Monitoring Sluice Health in Vibration by Monocular Digital Photography and a Measurement Robot," Guo introduced an innovative approach that combines monocular digital photography with robotic measurement systems to capture and analyze vibration data. This method enables real-time, remote monitoring of structural integrity, reducing the need for invasive sensors and improving safety in hydraulic engineering. With over 13 citations, this work has influenced subsequent studies in automated infrastructure inspection and vibration-based damage detection. Guo's contributions are particularly notable for their practical applications in water conservancy projects, where early detection of structural anomalies can prevent catastrophic failures. His research continues to bridge the gap between computer vision, robotics, and civil engineering, offering scalable solutions for aging infrastructure worldwide.