Guide
An Engineer’s Guide to Digital Twin Technology
Digital twins are virtual replicas of physical systems, using real-time IoT data to simulate, monitor, and predict performance. They enhance product design, maintenance, and cost efficiency across industries like manufacturing, energy, and transportation. A real-world case shows an automotive suspension modeled, tested, and refined through sensor data from prototypes and production vehicles. Over time, data analysis identified part failures before they occurred, enabling targeted maintenance and avoiding costly recalls. Even simple models can deliver value, with complexity and precision increasing alongside system demands.
