Applied Intelligent Inspection Systems in Underground Metal Mining

Yaming Ji, Fuming Qu, Di Shan, Lingyu Zhao

EDP Sciences
Collection: Current Natural Sciences
Publication date : 2026-06-19

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As mining operations extend to greater depths, the complexity of underground environments presents significant challenges for inspection and safety management. Limited space, poor visibility, unstable geological conditions, and restricted access make traditional manual inspection methods increasingly difficult to implement with sufficient frequency and accuracy. With the advancement of unmanned systems supported by artificial intelligence and other emerging technologies, intelligent inspection is becoming a key driver of transformation in underground mining.

This book is intended for mining engineers, safety professionals, equipment developers, managers, and decision makers involved in underground metal mining. It focuses on inspection technologies and systems applied in key areas of underground operations, including mine roadways, rail transport systems, and hoisting systems. By introducing practical unmanned inspection equipment and integrated monitoring solutions, the book bridges engineering principles with real-world applications, demonstrating how these technologies perform in actual production environments rather than in theoretical models alone.

All authors are affiliated with the Intelligent Mining Center at the Institute of Minerals Research, University of Science and Technology Beijing. With over a decade of experience in intelligent mining, their work spans both academic research and on-site engineering projects, with a strong focus on the development and application of advanced technologies for underground safety and mining automation. Through this book, the authors aim to share practical insights and contribute to the ongoing transformation of the mining industry, inspiring further innovation in the development of smart mines.

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