A digital twin is a virtual replica of a physical object, system, or process. It allows real-world data from sensors, devices, and other sources to be combined with simulations, models, and analytics to provide a complete picture of an object’s behavior and performance. By using a digital twin, organizations can gain a deeper understanding of how their assets operate and interact with their environment.
By simulating the physical object in a virtual environment, organizations can analyze its performance, identify issues and inefficiencies, and test various scenarios and solutions. The insights generated by the digital twin can then be used to improve the actual physical object, reduce downtime, and optimize its performance.
Our digital twin approach
BIM To twin
BIM to Digital Twin is creating a virtual representation of a built asset from BIM data and real-time sensor data, providing a comprehensive view for simulations, monitoring, and optimization.
AI Digital Twin
An AI Digital Twin is a virtual replica that uses AI and machine learning to simulate and analyze the behavior of physical objects, systems, or processes in real-time, with the aim of optimizing operations and improving decision-making.
Connected Digital Twin
A Connected Digital Twin is a digital twin that is linked to real-world data and systems, allowing for real-time updates and enabling data-driven decision making and predictive maintenance.
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