Digital twin software provides a virtual representation or simulation of a physical asset and is used to monitor the performance of the asset in real-time. These tools are used to simulate performance, predict potential maintenance needs, and ultimately optimize the asset for peak performance. Businesses embed their physical assets with sensors to produce the data necessary to inform a digital twin. By transforming the assets into IoT-enabled devices, they can track and monitor the physical piece of machinery. These tools are often used in conjunction with IoT device management software or computer-aided engineering (CAE) software.
To qualify for inclusion in the Digital Twin category, a product must:
Digital twins track dynamic state information for each data source and make it instantly available to application code inspecting incoming messages. This lets the application focus on exactly what its data sources are telling it so that it can do a better job of predicting whats next.