Design of a UE5-based digital twin platform
Shaoqiu Lyu, Muzhi Wang, Sunrui Zhang, Shengzhi Wang

TL;DR
This paper presents a digital twin platform based on Unreal Engine 5 that reduces the complexity and cost of large-scale 3D scene construction, enhancing standardization and usability.
Contribution
It introduces a universal platform construction process using UE5, streamlining digital twin development and demonstrating its application through a real project case.
Findings
Effective reduction in learning and construction costs.
Improved process standardization and operability.
Successful implementation in an actual project.
Abstract
Aiming at the current mainstream 3D scene engine learning and building cost is too high, this thesis proposes a digital twin platform design program based on Unreal Engine 5 (UE5). It aims to provide a universal platform construction design process to effectively reduce the learning cost of large-scale scene construction. Taking an actual project of a unit as an example, the overall cycle work of platform building is explained, and the digital twin and data visualization technologies and applications based on UE5 are analyzed. By summarizing the project implementation into a process approach, the standardization and operability of the process pathway is improved.
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Taxonomy
TopicsDigital Transformation in Industry
