The Concept Of “Digital Twins” Is Becoming A Part Of This Productivity Improvement And Decision Making Process In Industry 4.0 / IIoT. It Does So By Connecting The Silos Between Digital Data.
The digital twin was first introduced and clearly defined by Dr. Michael Grieves in 2003 at University of Michigan. The basic concept of the digital twin model is to build rich digital information for virtual products; digital information that is indistinguishable from the physical counterpart. This digital information will serve as a “twin” of the information embedded within the physical product or system itself and will be linked to it throughout the lifecycle of the system.
The digital twin concept model as defined by Dr. Grieves consists of three main parts: physical products in real space, virtual products in virtual space and the connected data that tie the physical and virtual products together.
HOW PERVASIVE DIGITAL TWINS ARE EXTENDING ENTERPRISE INTELLIGENCE
The Maturity Path Of Digital Twins Along The Lifecycle Of An Infrastructure Asset.
“The Single Greatest Need In Business Today Isn’t Automation, Its Autonomous Insight. It Means Being Able To Leverage Vast Amounts Of Data – Behind The Scenes, Where Connected Devices And Machines Interpret What’s Happening And Why, And Then Act Accordingly, Autonomously”
The Digital Twin is used to create demonstrable business value along several axes. The twin models are continuously updated as the physical asset is operated. At any moment the twin represents a faithful representation of the current state of the asset. They are also scalable. Benefits are derived when hundreds or thousands of similar assets have their own digital twins. A twin tracking a single asset learns from similar assets. They are also adaptable, and can transfer learning to another part or asset class, or adapt to new scenarios or new factors. More…