IDG Contributor Network: Seeing double: why IoT digital twins will change the face of manufacturing
If your organization is planning to leverage the Internet of Things (IoT) to gather data from products and systems, see how goods are performing in the field, enhance factory production, or any other reason, it needs to become familiar with the concept of the “digital twin.”
A digital twin is a digital replica of a physical asset, process, or system that can be used for a variety of purposes. The digital representation of an object provides both the elements and the dynamics of how the object operates throughout its life cycle.
The digital twin is intended to be an up-to-date and accurate replica of all elements of a physical object for which sensor data is available. Digital twins integrate technologies including artificial intelligence, machine learning, predictive analytics, and sensor telemetry to create digital clones of live and historical performance of physical machines and idealized digital simulation models that evolve based on the data collected from real-world instances.
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