The future of an asset
A digital twin acts as a proxy to immerse physical systems into the digital space, giving access to structure, context, and behavior of an asset. It provides you with a window to past and present states and conditions, and gives you the ability to look into the future.
Digital twins don’t just need to act independently, sometimes a group of digital twins, or an “aggregate”, can also be beneficial. If your organization is monitoring multiple systems of the same type of assets, for instance a fleet of jet engines (each of which has an individual digital twin), you can start to learn from all of them as a cohort, find similar patterns or trends, and that analysis can lead to refining models for higher fidelity in the future.
By bringing all digital twins onto a common platform, you can effectively build a learning system for the physical world. From a simple concept of building a digital model of an object before an asset is built, to analyzing the data from a cohort of digital twins on a fleet of assets, a powerful digital construct has developed that can lead to significant insights for your asset-centric organization