Digital Twin
A digital twin is a virtual representation of a physical object, system, or process that mirrors its real-world counterpart in real-time through data integration. It uses sensors, IoT devices, and simulation models to create a dynamic digital model that can be used for monitoring, analysis, and optimization. This technology enables predictive maintenance, performance testing, and scenario planning without disrupting the physical entity.
Developers should learn digital twin technology when working on IoT, industrial automation, smart cities, or manufacturing projects where real-time monitoring and simulation are critical. It's particularly valuable for predictive maintenance in machinery, optimizing energy usage in buildings, and testing autonomous systems in virtual environments before deployment. This concept helps reduce operational costs, improve efficiency, and enable data-driven decision-making.