Hankang Zhang

Papers

Total Citations

H-Index

About

Hankang Zhang is a researcher specializing in geotechnical monitoring and surveying robotics, with a particular focus on the de-noising of data collected by automated monitoring systems in open-pit mining environments. His most-cited work, "De-noise of Online Monitoring Basic Data Collected by Surveying Robots" (2015), addresses a critical challenge in slope stability monitoring: the presence of noise in basic data—such as azimuth, vertical angle, and distance—gathered by high-precision surveying robots like the TCA2003. Zhang’s contributions center on developing methods to filter this noise, thereby improving the accuracy and reliability of three-dimensional online monitoring systems widely used in open pits. While his citation count remains modest, his work is foundational for practitioners seeking to enhance data quality in real-time geotechnical surveillance. By tackling the practical limitations of automated monitoring, Zhang supports safer and more effective slope management in mining operations. His research bridges the gap between advanced surveying technology and field application, offering valuable insights for engineers and researchers working on deformation monitoring and early warning systems in challenging environments.