How Digital Twins Are Created? Explained In 5 Minutes.
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5 min read

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02 Dec 20

How Digital Twins Are Created? Explained In 5 Minutes.

While the topic may bring a lot of misunderstandings and doubts, we decided to show you how, in fact, easy under the hood, it is.

  1. What Is Digital Twin?
  2. How It's Made? 3D Modeling Of a Digital Twin.
  3. Texturing
  4. Run It In Your Browser.
  5. Transform Your 3D Model Into a Cloud-Based Digital Twin.

What Is Digital Twin?

Let's start with a definition - It refers to a replica, or virtual simulation model of a machine or production line before making a real one. To either test, various layouts, check the potential bottlenecks or track the processes by visualizing production data in real-time. The twin can be used to simulate the operations of a piece of equipment or production line in a virtual environment before any decisions concerning manufacturing. This helps save in costs and reduces the risks related to costly investments.

How It's Made? 3D Modeling Of a Digital Twin.

The older facilities which were built before the era of CAD models, have to be modeled from the ground up. The team responsible for that part, often based on floor plans as well as laser scans and/or photography. Such materials allow recreating the building with a millimeter precise in three dimensions.

The floor plan is the most important part in making a Digital Twin

The floor plan is the most important part in making a Digital Twin

Texturing

Texture mapping is a method for defining high-frequency detail, surface texture, or color information on top of the model. Thanks to previously taken photographs, the model can be wrapped with images to exactly resemble the real object. The process simulates near-photorealism in real-time by vastly reducing the number of polygons and lighting calculations needed to construct a realistic and functional 3D scene.

This is the feature that will transform the world of business as we see it as testing and development will become an effortless series of executions that are driven by data.

Autodesk University 2020
The structure is built in 3D on top of the floor plan.

The structure is built in 3D on top of the floor plan.

And then it gets textured

And then it gets textured

Run It In Your Browser

Finally, such a prepared model can be uploaded to Moicon's viewer. It lets the clients have the ability to continuously optimize their virtual twin without having to intervene with the process once a sufficient amount of data has been collected. By taking this route of product or service development, the software can use the information it receives from the physical twin and makes decisions that would lead to positive outcomes for the product all by itself.

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Thanks to Moicon you can publish your 3D models in a blink of an eye. Easy to use tool lets you solve the daily challenges

Transform Your 3D Model Into a Cloud-Based Digital Twin

If you consider a digital twin as a solution for your development challenges, Moicon is a tool you've been searching for. From the very first steps to maintaining the simulation model.

Interested In Having Your Own Digital Twin?

Feel free to contact us or sign up and join the waitlist so that we could inform you once the Moicon is published commercially.

And see on your own how it works in action!

Check Moicon’s short demo explaining how exactly it works

Damian Zaleski

by Damian Zaleski

3D/UX/UI DESIGNER

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The digital twins can predict failures before they affect or damage the products. They empower the manufacturers with instant troubleshooting by adjusting the parameters along the production line in the twin.