Digital twins—virtual replicas of physical environments—are becoming essential in engineering, manufacturing, and smart city development. These digital models allow experts to simulate and monitor real-world systems in real time.
Cities use digital twins to analyze traffic, improve energy use, and predict infrastructure needs. For example, digital twin simulations can optimize public transport routes or forecast electricity consumption during peak hours.
In manufacturing, digital twins enhance quality control and reduce downtime by predicting machine failures before they occur.
As IoT sensors become more widespread, digital twins will expand across industries, leading to more efficient planning and better resource management.
