Augmented Reality Support in Maintenance Operations

Type of course:

Digital learning, Path

Language:

Duration:

1 hour, 20 minutes

Workload:

6 hours

Proficiency:

Intermediate

Target:

Professionals, Students

SUMMARY

The learning course “AR Support in Maintenance Operations” offers a comprehensive and detailed exploration of augmented reality (AR) applications in modern maintenance workflows. It is designed to provide participants with both theoretical knowledge and practical skills, enabling them to integrate AR into a wide range of maintenance scenarios. The course is divided into three carefully crafted lessons, each addressing a specific aspect of AR in maintenance:

“Maintenance Operations with Augmented Reality”: This lesson delves into the practical implementation of AR technologies to enhance maintenance tasks. It introduces key tools and methodologies for improving operational efficiency, safety, and precision through AR. Learners will explore real-world examples, gaining insights into how AR can streamline troubleshooting, equipment handling, and task documentation.
“AR Application Development for Remote Maintenance Support”: Focused on real-time collaboration, this lesson guides participants through the development and deployment of AR-based remote assistance systems. It covers essential technologies such as WebRTC for live communication, digital annotation tools, and AR interfaces, enabling maintenance professionals to provide expert guidance and support from a distance.
“AR Application Development for Equipment Health Monitoring”: This advanced module emphasizes the integration of sensors, data visualization, and AR-driven monitoring systems. Learners will discover how to utilize AR for real-time equipment diagnostics, predictive maintenance, and visual representation of key metrics, ensuring improved reliability and reduced downtime.

To reinforce learning and ensure participants have a thorough understanding of the material, the course concludes with a short quiz. This quiz serves as an opportunity to review key concepts, evaluate knowledge retention, and identify areas for further improvement, preparing learners to confidently apply their AR skills in real-world maintenance scenarios.

About The Author

The Laboratory for Manufacturing Systems & Automation (LMS) of the Department of Mechanical Engineering & Aeronautics, in the University of Patras, Greece, is under the supervision of Professor George Chryssolouris and is oriented on research & development in cutting edge scientific & technological fields. LMS employs approximately 70 researchers organized in three different groups focusing on Manufacturing Processes Modelling & Energy Efficiency, Robots, Automation & Virtual Reality in Manufacturing and Manufacturing Systems. LMS has significant experience in the area of Production Systems Planning, Control & Networking, focused on the development, software implementation and use of advanced tools based on Artificial Intelligence methods for production systems planning and control and for the development of intelligent internet-based applications addressing the enterprise-wide business activities.

Learning outcomes

By the end of the course, learners will be able to identify key maintenance tasks that can benefit from Augmented Reality support and organize them into structured, efficient workflows.
By the end of the course, learners will be able to design high-level architectures and develop Augmented Reality applications for remote maintenance support and equipment health monitoring.