Digital Twin

Digital Twin

Date: November 11, 2021 Authors: Emin Beganović, Aiša Čanić

Another blog post that has the word “Digital” in its title, you see?

Well, it is because going digital is the focus for so many entities at this point. Going digital has incredible benefits, and one more practical example of it would be Digital Twin.

The digital twin is exactly what its name says. It is intended to be the most modern and most accurate digital copy of the properties and state of a physical object.

What is a digital twin and why it's important to IoT | Network World’s representation of a Digital Twin

Device shadow

The word that best describes this concept is shadow. A digital twin is a computer program that uses real-world data to create simulations that can predict how a product will behave in the physical world.

Shadow begins its “life” when experts in the field begin to build models, where developers explore physics of the physical object or system that is imitated, then use that data to develop a mathematical model that simulates the real world but in digital space.

The complexity of your digital twin depends on the amount of data you enter, but the number of data entered also determines how accurate the simulation is.

The creation of shadows does not stop only at smaller objects such as engines but leaves space for the projection of buildings or even entire cities, so it is possible to apply the system in a wide range of industries.

Digital Twins in Construction, Engineering, & Architecture | Autodesk
Autodesk’s representation of a Digital Twin in the AEC industry

Better planning in the future

Imitating the physical world allows you to analyze data and monitor the system to eliminate problems or downtime before they occur. In addition to troubleshooting, it is also used to develop and plan new capabilities using simulations.

The digital twin can be divided into three types, which show the stages in product testing:

  • 1. Digital Twin Prototype (DTP) – This is done before creating a physical product
  • 2. Digital Twin Instance (DTI) – Work done after production to run tests on different usage scenarios
  • 3. Digital Twin Aggregate (DTA) – This collects DTI data to determine product capabilities, run forecasts, and test operating parameters

Identifying problems in the program, and then developing and testing the solutions allows for time-saving, which gives you a competitive advantage.

The transformation of your business begins when you learn lessons, solve problems and discover new opportunities in the virtual world, and then apply them in the physical world. Save resources with the use of the digital twin by going into physical production only when the shadow of the device behaves according to your needs and expectations.

To conclude

So, with the digital twin, we can predict breakdowns, change the purpose of the facility, and all that to make the final product as efficient as possible. In short, with the help of the digital twin, we extract the maximum from the available sources and find out whether and how the product is suitable for further production.