Digital twin solutions
The concept of a digital twin should not be seen as a one-size fits all proposition. Although twinning is often spoken of in terms of a single principle, there are many different types of twins, ranging from a single process or asset to an entire organisation.
From single component design to organisational mapping, digital twins typically comprise a physical model, a statistical model and an element of machine learning. For the latter, exception modelling is used to identify, catalogue and manage incidents. For complex twins, such as production lines in manufacturing industries, it is possible to build a number of smaller twins, representing individual assets, and aggregate the individual components into a master model that accurately reflects the entire process.
As technology becomes more intuitive and user-centric, digital twins are commonly represented as 3D models. The logic can be seamlessly paired with modelling technology to render a realistic representation of the process in near real-time. This allows process managers to gain an overall view of the process and better visualise the interactions between individual assets.