This book presents a groundbreaking study in the field of intelligent mining and industrial digital twins, addressing the core challenge of precise pose detection for fully-mechanized mining equipment clusters. It introduces a pioneering theory and methodology driven by multi-source data deduction and reconstruction fusion, offering innovative solutions to longstanding limitations in underground pose monitoring. The book's distinctive value lies in its systematic integration of digital twin modeling, intelligent deduction algorithms, and spatiotemporal evaluation mechanisms – particularly through its novel virtual-physical fusion approach that enables full-pose solution solving and dynamic scene reconstruction despite sensor blind zones and measurement abnormalities. Richly supported by high-precision experimental platform case studies and quantitative evaluation frameworks, this work provides practitioners and researchers with actionable methodologies for achieving real-time, accurate equipment positioning critical for automated mining operations. Its comprehensive coverage of equipment kinematics modeling, multi-sensor fusion techniques, and 4D spatiotemporal analysis makes it an indispensable resource for mining engineers, automation specialists, robotics researchers, and advanced students in industrial digital transformation.

Professor Xuewen Wang focuses on the research of mechanical design theory and information technology. His recent research interests include: application of discrete element method in mining machinery, optimization design of mining machinery, digitalization and informatization of mining machinery, virtual reality of mining machinery, etc. He presided nearly 20 national and provincial scientific research projects. Since 2004, he has published more than 100 academic papers in various journals, won 4 second prizes for scientific and technological progress at provincial and ministerial level, published 4 academic works, authorized 20 invention patents, registered more than 30 software copyrights. He is the scientific editor of the editorial board of “Journal of China Coal Society” and “International Journal of Coal Science & Technology”. He has been the reviewer of many journals. In August 2015, he served as an organizing committee member of “4th International Conference on New Forming Technology (ICNFT 2015. Glasgow, UK)”.

Doctor Suhua Li focuses on the research of integration design theory and method of coal mine equipment and virtual reality. Her has published 9 academic papers in various journals, completed 8 invention patents, and completed the Virtual Simulation System of Scraper Conveyor Straightening and Virtual Monitoring System for Fully Mechanized Coal Mining Face, which play an important role in realizing the virtual collaborative propulsion of hydraulic support and scraper conveyor and the safe mining of fully mechanized coal working face.

Associate professor Jiacheng Xie focuses on the research of integration design theory and method of coal mine equipment and virtual reality. He has published more than 40 academic papers in various journals, authorized 7 invention patents, registered more than 12 software copyrights, and published 4 academic works. He presided over 5 projects, including the National Natural Science Foundation of China Youth Fund and the China Postdoctoral Science Foundation Funded Project, and he has completed the Virtual Reality Assembly System of Mining and Transportation Equipment and the Joint Virtual Simulation System for Coal Seam and Equipment, and won a China Machinery Industry Award.