Author ORCID Identifier

https://orcid.org/0000-0002-6949-5836

Semester

Fall

Date of Graduation

2023

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Mining Engineering

Committee Chair

Vladislav Kecojevic

Committee Member

QingQing Huang

Committee Member

Amy McBrayer

Abstract

U.S. 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 advancements to enhance environmental sustainability, workplace safety, and overall productivity, while simultaneously reducing operational costs. This thesis proposes the integration of Augmented Reality (AR) technology and digital applications to enhance the surface mining industry, presenting two innovative solutions: an AR Training System and an Operational Digital System. These business solutions have been developed and applied at a surface mine in the southwest of the US, having the potential to improve the mining industry by enhancing safety, training, operational efficiency, and data-driven decision-making, which comprehends a significant step toward a more sustainable, effective, and technologically driven mining sector, 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 immersive and step-by-step training guides in real working conditions for Dozers, Motor Graders, and End Dump trucks. These AR guides combine 3D models, videos, photos, and interactive elements overlapping mining equipment to enhance learning and safety. The system also offers an efficient approach to data collection during operator training, which has the potential to modify the training guides based on user performance. On the other hand, the Operational Digital System addresses the industry's operational challenges. It streamlines the pre-operation inspection process, tracks equipment status, and accelerates defect identification, shift timing, delays, and loaded tonnage. The system offers a holistic approach to mining operation optimization, facilitating data sharing and management among different departments, enhancing collaboration, and expediting maintenance processes.

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