Wenfeng Bai

Guangzhou Metro Design & Research Institute

Papers

Total Citations

126

H-Index

About

Wenfeng Bai is a leading researcher in geotechnical and structural health monitoring, with a primary focus on automated displacement sensing for underground infrastructure. His most influential work, "Automatic subway tunnel displacement monitoring using robotic total station" (2019), has garnered 126 citations, establishing a foundational methodology for real-time, high-precision tracking of tunnel deformations. Bai’s major contributions lie in integrating robotic total stations with advanced data processing algorithms to enable continuous, non-contact monitoring of subway tunnels—critical for early warning of structural instability and ensuring public safety. This work has been widely adopted by civil engineers and urban transit authorities, significantly improving the reliability of deformation assessments in complex underground environments. Beyond this flagship study, Bai has advanced sensor fusion techniques and developed cost-effective monitoring frameworks that balance accuracy with operational feasibility. His research bridges the gap between theoretical geodesy and practical infrastructure management, making him a key figure in the evolution of smart city monitoring systems. For students and researchers, Bai’s work exemplifies how precise instrumentation and data analytics can transform routine surveillance into proactive risk mitigation.