professor, China University of Mining and Technology, China
Chunde Piao is a Professor in the Department of Geological Engineering at the School of Resources and Geosciences, China University of Mining and Technology (CUMT). His expertise lies in coal mine geological engineering, with a focus on health monitoring and stability. Leading over 20 national projects, he has authored 30+ papers and holds 8 invention patents. Piao has been recognized with 6 provincial and ministerial-level awards, including the prestigious National Science and Technology Progress Award.
Publication Profile
Scopus
🎓 Education
📅 2005.9-2008.6 – Ph.D. in Geological Engineering, Nanjing University 📅 2001.9-2004.7 – M.S. in Geological Engineering, Liaoning Technical University 1997.9-2001.7 – B.S. in Geological Engineering, Liaoning Technical University
🛠️ Experience
Since July 2008, Chunde Piao has been a faculty member at CUMT, focusing on coal mine geological monitoring. He pioneered the use of distributed fiber optic sensing technology in monitoring coal mine geological disasters, developing methods to detect mining-induced fractures and subsidence. His work has advanced transparent geological modeling using fiber optics.
🏆 Awards and Honors
🥇 National Science and Technology Progress Award (2018) – Distributed Fiber Optic Monitoring 🥇 Ministry of Education Technological Invention Award (2018) – Multi-field Fiber Optic Monitoring 🥇 Science and Technology Progress Award (2009) – Brillouin Scattering Fiber Optic Technology
📡 Research Focus
Piao’s research focuses on coal mine health monitoring using distributed fiber optic sensing. His contributions include innovative detection methods for mining-induced overburden, subsidence modeling, and fracture identification. He aims to enhance geological transparency and safety in coal mining through advanced sensing technologies.
Publications 📖
Prediction Methods for Coal Mining Surface Subsidence – Using the MMF optimization model, this paper addresses subsidence prediction in coal mining.
Transparency of Coal Mine Geological Conditions – Focuses on the use of distributed fiber-optic sensing technology to improve the understanding of coal mine geological conditions.
Subsidence Prediction for Water-Conducting Fracture Zones – Applies Grey Theory to predict subsidence in fracture zones in coal mines.
Force Model of Squeezed Branch Piles – Studies the surface potential characteristics of squeezed branch piles under different forces.
Overburden Subsidence in Mined-Out Areas – Uses Brillouin optical time-domain reflectometer technology to calculate overburden subsidence in mining regions.
Water-Flowing Fracture Zone Calculation – Utilizes DOFS technology to calculate the height of the water-flowing fractured zone in overlying strata during mining.
Deformation Prediction Model – Combines machine learning and distributed optical fiber sensing technology to predict overburden deformation in mining operations.
Overburden Settlement in Backfill Mining – Based on fiber Bragg grating technology, this study investigates the settlement patterns in mined coal seams.
Overburden Strata Movement Under Mining – Examines the movement and evolution of overburden strata using distributed optical fiber monitoring.
Effect of Mining Subsidence on Soil Properties – Simulates the impact of mining subsidence on key soil properties.
Conclusion
Dr. Chunde Piao is a distinguished researcher whose contributions to coal mine geological engineering and geological disaster monitoring have significantly advanced the field. His innovative use of distributed fiber optic sensing technology to predict coal mine subsidence and enhance geological stability is groundbreaking. With a strong record of national and international recognition, he is highly deserving of the Best Researcher Award. By continuing to expand his collaborations and interdisciplinary research, Dr. Piao has the potential to make even greater contributions to the sustainable development of the mining industry and its associated technologies.