Digital Twin

A Digital Twin is a virtual replica of a physical asset or system, enabling real-time monitoring, simulation, and predictive analytics. By collecting data from sensors or operational logs, this digital counterpart tracks performance, identifies inefficiencies, and even forecasts potential malfunctions.

Key Points

• Data-Driven: Relies on continuous data streams, like usage stats or environmental conditions.
• Simulation Tool: Designers test new configurations or updates without endangering real assets.
• Maintenance Enhancement: Early detection of wear or errors streamlines repairs.
• Broad Applications: Used in manufacturing, building operations, infrastructure planning, etc.

Digital twins bring synergy between physical spaces and software intelligence, cutting costs while offering strategic insights on usage optimization or expansion feasibility.