Digital Twin: The Journey Toward Autonomous Operations

A digital twin is a digital representation of a human, device, system, or process, mirroring the actual process and with full knowledge of its historical performance. By simulating devices, systems, or processes to predict future performance, digital twins drive agility and convergence of understanding to enable effective decision-making and determine strategies to maximize safety, reliability, and profitability. The digital twin captures data to determine real-time performance, which can be used across the entire lifecycle of an asset for optimization and predictive maintenance.