Digital twins are often used to model, understand and analyze complex systems where performance, reliability and security of the system are critical.
Digital twins provide a sandbox where innovations can be tested and refined before they’re launched into the real world. They afford businesses a cost- and time-efficient way to design smarter products and assets while capturing more information about them.
In 2022, digital twin technology came into its own as organizations and the public finally came to understand the importance of digital twins.
That’s because the benefits of digital twins are substantial, such as:
- Driving operational efficiency
- Improving product quality
- Reducing time to market
- Enhancing supply chain agility and resilience
- Improving productivity
- Improving customer satisfaction
- Reducing costs through the prevention of error
However, in order to accurately test changes to the state of the actual system and the effects of any possible stimulus, the digital twin must accurately represent the physical system in its current state.
This requires the digital twin to receive continuous updates from the physical system via fast and reliable communications channels.
Creating and maintaining digital twins often involves vast amounts of data to represent various features of the real system. Collecting and processing this data also requires advanced communication and computing technologies.
Communication support typically involves high-speed internet connections and wireless networks such as Wi-Fi and 5G. Computational support is typically in the form of servers, either in the cloud or closer to the physical system.
Want to learn more? Tonex offers Fundamentals of Digital Twins, a 2-day course that covers the key principles of digital twins and how it relates to integration of digital engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems.
For more information, questions, comments, contact us.