Digital Twin Framework

A Digital Twin Framework is a virtual model that accurately replicates a physical asset, process, or system. It gathers real-time data from sensors on the actual object and uses this data to simulate its behavior, performance, and condition in a digital environment. This allows for monitoring, analysis, and optimization without directly impacting the physical counterpart. The framework integrates data, models, and analysis tools to enable predictive maintenance, design improvements, and better decision-making, ultimately improving efficiency, reducing costs, and enhancing reliability across industries like manufacturing, energy, and infrastructure.