Overview
This course introduces the concept of digital twins—virtual replicas of physical systems used to simulate, predict, and optimise performance. Learners will explore how digital twins are built, connected, and used in engineering and manufacturing environments.
Aims and Objectives
To provide learners with an understanding of digital twin concepts, development processes, and their applications in real-time monitoring and continuous improvement.
Course Content
Introduction to digital twin technologies
Data sources and integration (sensors, PLCs, IoT)
Modelling and simulation principles
Real-time monitoring and performance tracking
Predictive maintenance and process optimisation
Case studies in digital twin implementation
Emerging trends and digital transformation strategies
Learning Outcomes
On completion of this course, learners will be able to:
- Describe the principles and structure of digital twin systems
- Understand how physical and virtual systems interact
- Identify applications for digital twins in engineering and manufacturing
- Evaluate the benefits of simulation and real-time data integration
