Digital Twin

A digital twin is a virtual representation of a physical object, system, or process that mirrors its real-time performance and behavior. It integrates data from sensors, monitoring devices, and other sources to create an accurate digital equivalent that can be used for simulations, analysis, and predictions. This concept is commonly applied in various fields, including manufacturing, urban planning, healthcare, and IoT (Internet of Things), to optimize operations, enhance maintenance strategies, and improve decision-making. By allowing for real-time monitoring and predictive modeling, digital twins help organizations to understand how physical assets function and interact, leading to improved efficiency and effectiveness in their management.