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An article that seeks to distance metaverse hype from the value of industrial digital twins
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
This article presents a discussion on how Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.
A short clear article focused on use cases for digital twins in manufacturing.
This article looks at how intelligent digital twins will be able to improve manufacturing and bring about continuous improvement.
An interview with Aurelien Le sant, CTO Industrial Automation, Schneider Electric
A research paper specifically focused on the railway point (also called a switch or turnout) – the asset utilised for switching and locking rails, “slipping a track into two or more different tracks”.
An article focused on bridges, but with learnings for assets made complex given the need to design whilst building, structural tensions, material issues, and rush to build.
This paper on electronic rail digital twins, presented at the Power Electronics, Drive Systems, and Technologies Conference focuses on the need for precision to execute an exact simulation of the performance of real physical system.
An article from 2019 that examined the maturing of digital twins in the North Sea focused on Total, Aker BP, and Shell who had each developed and deployed twins.
This article looks at how Intelligent Digital Twins can be used for the realization of the autonomous Cyber-Physical Production Systems.
An article heralding the launch of a scaled oil & gas digital twin involving up to 300 workers processing up to 250,000 B/D of oil
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