The following is an excerpt from an article by Tom Temin of Federal News Network.
As model-based engineering grows more capable, organizations can model more than objects. The next frontier, according to scientists and engineers at Noblis, is the use of ever-evolving digital models of processes to continually improve how organizations work.
How is this possible? By creating a digital twin of a process, which then evolves as data from the actual process and feeds the twin, said Noblis Senior Scientist Scott James.
The notion of digital twins “has definitely evolved. But what we consider to be a digital twin is a model, which is meant to be a permanent companion to whatever system you’e looking at,” James said, and added, “The idea would be that the model would be taking data in at some continual cadence and providing data back out to advise and perhaps predict unexpected events.”
James joined Pat Meharg, Noblis’ chief architect for model-based systems engineering, to discuss how process digital twins work and the value they bring during the Tackling Government Challenges Through Science and Technology podcast on Federal News Network.
Tackling Government Challenges Through Science and Technology, sponsored by Noblis, is a new Federal News Network podcast series highlighting how field experts are working to solve a mission-related challenge by applying science and technology. In the last episode, Noblis expert Abby Emrey talked about how to bake risk management and ethics into the planning and implementation of your agency’s AI projects. Listen On Demand >
