EDP Sciences 1781871027 20260619 fre

laboutique.edpsciences.fr-R002856 03 01 01 R002856 00 ED E107 00 01 01 Applied Intelligent Inspection Systems in Underground Metal Mining 01 eng 08 174 03 22 29682668 17 01 P15 EDP Sciences & Science Press 01 01 P15 EDP Sciences & Science Press 11 00 20260619 02 01 003033 03 9782759839926 15 9782759839926 03 01 D1 EDP Sciences 45 03 laboutique.edpsciences.fr-003033 03 01 01 003033 03 9782759839926 15 9782759839926 10 EA E107 10 00 01 R002856 ED E107 1 10 01 02 Current Natural Sciences 01 01 Applied Intelligent Inspection Systems in Underground Metal Mining 1 A01 01 A2466 Fuming QU QU, Fuming Fuming QU Fuming QU is affiliated with the Intelligent Mining Center at the Institute of Minerals Research, University of Science and Technology Beijing. 2 A01 01 A2467 Di SHAN SHAN, Di Di SHAN Di SHAN is affiliated with the Intelligent Mining Center at the Institute of Minerals Research, University of Science and Technology Beijing. 3 A01 01 A2468 Lingyu ZHAO ZHAO, Lingyu Lingyu ZHAO Lingyu ZHAO is affiliated with the Intelligent Mining Center at the Institute of Minerals Research, University of Science and Technology Beijing. 4 A01 01 A2469 Yaming JI JI, Yaming Yaming JI Yaming JI is affiliated with the Intelligent Mining Center at the Institute of Minerals Research, University of Science and Technology Beijing. 01 eng 08 170 03 01 20 Artificial intelligence;unmanned inspection;monitoring solution;engineering;mining automation 10 2011 TEC026000 29 CLIL3074 01 622 06 03 00 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. 02 00 This book describes how intelligent inspection is becoming a key driver of transformation in underground mining, thanks to the advancement of unmanned systems supported by artificial intelligence and other emerging technologies. 04 00 Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . IIICHAPTER 1Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 State of Industry Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.2.1 Research on Intelligent Underground Inspection Systems . . . . . . . . 31.2.2 Research on Intelligent Underground Transportation Systems . . . . . 51.2.3 Research on Underground Hoisting Systems . . . . . . . . . . . . . . . . . . 71.3 Content and Chapter Arrangement of This Book . . . . . . . . . . . . . . . . . . 10CHAPTER 2Research on Intelligent Inspection Technology and Equipment for Underground Mining Roadways in Metal Mines. . . . . . . . . . . . . . . . . . . . 112.1 Research on Information Mining in Production Roadways . . . . . . . . . . . . 122.1.1 Current Status of Working Roadway Inspection . . . . . . . . . . . . . . . 122.1.2 Analysis of Working Roadway Environment . . . . . . . . . . . . . . . . . . 142.2 Research on Intelligent Inspection Equipment for Underground Excavation Roadways in Metal Mines . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.2.1 Overall Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.2.2 Development of Inspection UAV for Underground Working Roadways . . . . . . . . 222.2.3 Research on Autonomous Information Collection Based on UAVs . . 402.3 Research on Intelligent Inspection Methods for Underground Excavation Roadways in Metal Mines . . . . . . . . . . . . . . . . . . . . . . . . . . . 432.3.1 Digital Map Construction Based on SLAM Laser Scanning. . . . . . . 432.3.2 3D Point Cloud Processing Based on SLAM Laser Scanning . . . . . . 452.3.3 Digital Map Update . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472.4 Application Outcomes of Intelligent Drone Inspection . . . . . . . . . . . . . . . 482.4.1 On-Site Intelligent Inspection with UAV. . . . . . . . . . . . . . . . . . . . . 482.4.2 Intelligent Inspection Data Collection and Analysis . . . . . . . . . . . . 49CHAPTER 3Research on Intelligent Inspection Technology and Equipment for Underground Iron Transportation Systems in Metal Mines . . . . . . . . . . . 593.1 Potential Collision Object Recognition Model Library Construction . . . . 603.1.1 Research on Construction of Typical Database for Potential Collision Objects . . . . . . 603.1.2 Research on Building Potential Collision Object Recognition Models . . . 673.2 Research on Collision Avoidance and Warning for Underground Mine Locomotives . . . . . . 783.2.1 Construction of 5G-Based Edge Devices . . . . . . . . . . . . . . . . . . . . . 793.2.2 Real-Time Analysis of Mine Locomotive Data . . . . . . . . . . . . . . . . 803.3 Research on Curve Identification of Underground Mine Locomotive . . . . 813.3.1 Overview of the Solution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 823.3.2 Design of Curve Detection Method . . . . . . . . . . . . . . . . . . . . . . . . . 833.3.3 Curve Recognition System Design . . . . . . . . . . . . . . . . . . . . . . . . . 843.3.4 Curve Identification System Process . . . . . . . . . . . . . . . . . . . . . . . . 893.3.5 Curve Identification On-Site Application . . . . . . . . . . . . . . . . . . . . 913.4 Research on Track Wear Identification for Underground Mine Locomotives . .. . . 933.4.1 Design of Identification Method . . . . . . . . . . . . . . . . . . . . . . . . . . . 933.4.2 Identification Device Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953.4.3 Recognition Results Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973.4.4 On-Site Recognition Application. . . . . . . . . . . . . . . . . . . . . . . . . . . 101CHAPTER 4Research on Intelligent Inspection Technologies and Equipment for Underground Hoisting Systems in Metal Mines . . . . . . . . . . . . . . . . . . . . 1054.1 Intelligent Inspection Analysis of Shaft Bottom Equipment . . . . . . . . . . . 1064.1.1 Target Analysis of Shaft Bottom Equipment. . . . . . . . . . . . . . . . . . 1064.1.2 Overall System Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1084.2 Research on Wear Detection and Early Warning Analysis for Shaft Bottom Equipment ... 1094.2.1 Research on Wear Detection and Early Warning Analysis for Shaft Bottom Guide Timbers. 1094.2.2 Research on Wear Detection and Early Warning Analysis for the Tail Rope Isolation Device at the Shaft Bottom . . . . . . . . . 1224.3 Research on Detection Methods for Other Shaft Bottom Equipment . . . . 1314.3.1 Research on Automated Inspection Methods for the Tail Rope Tensioning Device at the Shaft Bottom . . . . . . . . . . . . . . . . . . . . . 1314.3.2 Research on Automated Inspection Methods for the Sump Pump . . 1374.4 Development of Automated Inspection Equipment for Shaft Bottom Equipment . . . . . . . 1404.4.1 Hardware Development for Automated Inspection Equipment of Shaft Bottom Equipment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1404.4.2 Software Development for Automated Inspection Equipment of Shaft Bottom Equipment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145CHAPTER 5Conclusion and Outlook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 21 00 06 01 https://laboutique.edpsciences.fr/produit/1576/9782759839926/applied-intelligent-inspection-systems-in-underground-metal-mining 01 00 03 02 https://laboutique.edpsciences.fr/system/product_pictures/data/009/983/630/original/9782759839919-Applied_Intelligent_Inspection_Systems_in_Underground_Metal_Mining_couv-sofedis.jpg 17 14 20260610T091051+0200 01 P15 EDP Sciences & Science Press 01 01 P15 EDP Sciences & Science Press 04 11 00 20260619 01 00 20260619 19 00 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