Augmented Reality Support in Maintenance Operations (Pilot)

Type of course:

Digital learning, Path

Language:

Duration:

1 hour, 20 minutes

Workload:

Array hour

Proficiency:

Intermediate

Target:

Professionals, Students

SUMMARY

The learning course “AR Support in Maintenance Operations” provides a structured approach to leveraging augmented reality in maintenance workflows. It includes three key lessons: “Maintenance Operations with Augmented Reality” exploring practical applications and tools for enhancing maintenance tasks with AR technologies, “AR Application Development for Remote Maintenance Support” focusing on real-time collaboration and AR-based remote assistance and “AR Application Development for Equipment Health Monitoring” covering sensor integration, data visualization, and AR-driven monitoring. This path equips learners with the skills to integrate AR into various maintenance scenarios effectively.

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.