Type of course:
Digital learning, Lesson
Language:
EN
Duration:
20 minutes
Proficiency:
Intermediate
Target:
Professionals, Students
SUMMARY
This course provides a comprehensive overview of integrating Augmented Reality (AR) technologies into maintenance workflows. It covers key topics such as sensor integration for real-time data acquisition, utilizing OPC Unified Architecture (OPC UA) for secure and standardized data communication, and employing Docker to streamline data processing and enhance AR integration. Additionally, the course delves into advanced data visualization techniques in AR, as well as efficient information retrieval using AR devices for improved decision-making. Combining theoretical foundations with hands-on practical applications, this course equips learners with the skills to implement AR solutions for proactive and effective equipment health monitoring, ultimately optimizing maintenance operations.
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 formulate microservices of an Augmented Reality application for equipment health monitoring.
- By the end of the course, learners will be able to formulate a data monitoring and visualization sequence.
- By the end of the course, learners will be able to develop an Augmented Reality module for data monitoring.
Topics
Advanced Manufacturing, Digital Transformation, Advanced Materials, Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality (AR)
Tags
Industry 5.0
Provided by
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Laboratory for Manufacturing Systems and Automation of Patras
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Laboratory for Manufacturing Systems and Automation of Patras
+225
enrolled
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