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The Industrial Metaverse: Simulating Real-World Scenarios

by Wall Street Logic
August 27, 2023
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What is the industrial metaverse?

The industrial metaverse refers to the simulation of real-world scenarios in the virtual world. It allows manufacturers to mirror products and systems in a virtual environment, providing several advantages.

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Real-World Actions And Decisions Can Be Improved

Boeing is one company embracing the concept of the industrial metaverse. By creating digital twins of airplanes and production systems, Boeing can simulate complex operations and gather insights before taking action in a real-world manufacturing setting. Synthetic data, generated through simulations and algorithms, proves to be a powerful tool in this process. For instance, Boeing used synthetic data to create an aircraft inspection system that compares the current condition of an airplane to its previous states based on historical and current maintenance data.

Digital Twins Can Simulate Anything

Digital twins are not limited to entire factories. Siemens has successfully created digital twins of individual machines that look and behave exactly like their physical counterparts. These digital twins enable manufacturers to predict machine failures, optimize maintenance, and even replicate products in use by customers for remote monitoring and timely maintenance.

VR Enhances the Product Design Process

In addition to digital twins, virtual reality (VR) plays a significant role in the product design process. Designers can immerse themselves in a VR space to simulate products, spot flaws, and make improvements before physical production. VR combined with digital twins allows designers to make real-time changes that reflect in the virtual metaverse space, fostering an immersive and collaborative design environment. Tools like NVIDIA’s Omniverse enable design teams to collaborate seamlessly, regardless of their physical locations.

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These advancements in the industrial metaverse hold immense potential to revolutionize manufacturing and improve decision-making processes. They pave the way for enhanced productivity, predictive maintenance, and streamlined product design.

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