Augmented Reality System for Training of Heavy Equipment Operators in Surface Mining

被引:0
|
作者
Quiceno, Juan David Valencia [1 ]
Kecojevic, Vladislav [1 ]
McBrayer, Amy [1 ]
Bogunovic, Dragan [2 ]
机构
[1] West Virginia Univ, Dept Min Engn, Morgantown, WV 26506 USA
[2] Navajo Transit Energy Co, Farmington, NM USA
关键词
Augmented reality; Head-mounted display; HoloLens; 2; Heavy equipment operators; Surface mining; Mine safety training; VIRTUAL-REALITY; INDUSTRIAL MAINTENANCE;
D O I
10.1007/s42461-024-01047-6
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
United States federal laws mandate that mining companies ensure a safe workplace, implement approved training programs, and promptly report work-related injuries. The mining industry's commitment to innovation reflects a history of adopting technological advancements to enhance environmental sustainability, workplace safety, and vocational training. The objective of this research was to develop an augmented reality (AR) system for heavy equipment operators (HEOs) in surface mining. The developed system has the potential to enhance mine safety, training, and data-driven decision-making, which presents a significant step toward a more sustainable, effective, and technologically driven mining training, contributing to the industry's evolution and growth. The AR Training System leverages Microsoft's Power Platform and HoloLens 2 capacities to provide operators with detailed, immersive training guides for three mining equipment including bulldozers, motor graders, and end dump trucks. These AR guides combine 3D objects, informative images, and videos to enhance learning and safety. The system also provides an efficient approach to data collection during HEO training, having the potential to modify the training guides based on user performance. The system was developed and applied via a case study in a surface mine in the southern United States.
引用
收藏
页码:2217 / 2229
页数:13
相关论文
共 50 条
  • [41] Augmented Reality System Training for Minimally Invasive Spine Surgery
    Liu, Xiaozhuang
    Bai, Hua
    Song, Guoli
    Zhao, Yiwen
    Han, Jianda
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 1200 - 1205
  • [42] Augmented reality-based training system for hand rehabilitation
    Liu, Jia
    Mei, Jianhui
    Zhang, Xiaorui
    Lu, Xiong
    Huang, Jing
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (13) : 14847 - 14867
  • [43] Augmented reality-based training system for metal casting
    Watanuki, Keiichi
    Hou, Lei
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2010, 24 (01) : 237 - 240
  • [44] Augmented reality-based training system for metal casting
    Keiichi Watanuki
    Lei Hou
    Journal of Mechanical Science and Technology, 2010, 24 : 237 - 240
  • [45] Application of Augmented Reality Technology in Train Maintenance Training System
    Han Endong
    Su Hu
    Yun Chuan
    FOURTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING, ICGIP 2022, 2022, 12705
  • [46] APPLICATION OF AUGMENTED REALITY IN MINING INDUSTRY
    Benes, Filip
    Kodym, Oldrich
    GEOCONFERENCE ON INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL I, 2014, : 35 - 42
  • [47] TRAINING FORESTRY EQUIPMENT OPERATORS
    WOLFE, J
    PULP & PAPER-CANADA, 1982, 83 (05) : 35 - 36
  • [48] Virtual Reality Training Platform: A Proposal for Heavy Machinery Operators in Immersive Environments
    Pintos, Manuel
    Rodrigues, Ricardo
    Machado, Rui
    Melo, Miguel
    Barbosa, Luis
    Bessa, Maximino
    INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 3, WORLDCIST 2023, 2024, 801 : 23 - 32
  • [49] Research and Implementation of the Disassembling System of Ship Power Equipment Based on Augmented Reality
    Shang, Lei
    Wang, Bing
    Yang, Zhi-yong
    Zheng, Tong
    2ND INTERNATIONAL CONFERENCE ON ENERGY AND POWER ENGINEERING (EPE 2018), 2018, : 106 - 113
  • [50] Augmented Reality System for Digital Rectal Examination Training and Assessment: System Validation
    Muangpoon, Theerapat
    Osgouei, Reza Haghighi
    Escobar-Castillejos, David
    Kontovounisios, Christos
    Bello, Fernando
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (08)