Design of Metaverse Digital Technology Optimization Model Based on Artificial Intelligence Technology
With the implantation of design ideas and aesthetics in the metaverse era, the construction of community public spaces is being guided towards greater humanization and recognizability. Studying the digital design and application of community public spaces in the metaverse field can provide ideas for the sustainable development and innovation of future urban community public spaces. On the basis of summarizing relevant theories and existing research in the world, this article combines the design ideas and aesthetics of the metaverse era to construct the application of digital technology. This article explores the design of a metaverse digital technology optimization model based on artificial intelligence technology. By integrating existing research results and expert opinions in related fields, the concept and characteristics of the metaverse were first defined, and it was believed that it is a virtual world constructed using various new intelligent technologies, with characteristics of reflection and interaction with the real world. Subsequently, the article introduced the design methods and steps of the metaverse digital technology optimization model. Among them, optimization solutions based on 5G networks, virtual reality/augmented reality technology, cloud computing, and Internet of Things technology were proposed to meet the requirements of architecture and environment in the metaverse. The construction process of virtual humans was described in detail, including character design, modeling, material mapping, skeleton binding, and animation generation. The experimental results have shown that the development cost of intelligent Internet of Things technology is relatively high compared to other technologies, at 700000 yuan. In contrast, the development cost of mixed reality technology is the lowest, at 500000 yuan, and the operating and maintenance costs are also relatively economical.
Authors
- S. Li (ORCID: https://orcid.org/0009-0008-5952-8412)
Institutions
- Shandong University of Art and Design (CN)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.04.051
- Citations
- 1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.24