Intelligent Automation starts with creating digital twins - CrowdANALYTIX

As we typically hear it referred to in industry today, a digital twin is a virtual representation of both the components and the real-time dynamics of a physical product throughout its life cycle. For example, an accurate digital twin of an aircraft engine not only matches all of the engine's initial qualities (weight, composition, structure), but also continues to match the engine's condition by accounting for every flight taken, every weather condition encountered, every maintenance or repair performed, type of fuel used, etc. This extensive data, gathered from IoT devices like smart sensors and cameras, should enable the extrapolation of the actual engine's conditions, making it easier to predict failure and schedule preventative maintenance. Because the data used to maintain the digital twin is unique--no two engines will take identical flights or encounter identical conditions--the digital twins of two different units of the same aircraft engine should evolve differently, dependent on the different conditions each engine is subjected to. In this article, we would like to extend the concept of digital twins beyond just the end product and into the process and resources used to create and maintain the product.