Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform

TL;DR

This paper discusses the integration of multi-format 3D data in a cross-device industrial metaverse platform, enabling collaborative decision-making and democratizing access to complex design data across various devices and users.

Contribution

It introduces practical workflows for multi-format 3D data integration in a commercial metaverse, enhancing multi-user collaboration and decision-making in industrial and architectural contexts.

Findings

Multi-device access supports collaborative decision-making.

Fusion of metaverse and digital twin technologies enhances usability.

Practical integration workflows facilitate cross-domain 3D data utilization.

Abstract

Traditionally, specialized 3D design data, such as BIM and CAD, have been accessible only to a select group of experts, creating significant barriers that prevent general users from participating in decision-making processes. This paper provides a systematic overview of practical insights for utilizing 3D data in industrial and architectural domains by presenting implementation cases of the industrial metaverse on Cluster, a commercial cross-device metaverse platform. This paper analyzes the characteristics and constraints of major data formats in the industrial and architectural fields and organizes integration workflows for the metaverse. Through application cases utilizing 3D data across multiple domains, we present practical examples of collaborative decision-making support enabled by the fusion of metaverse and digital twin technologies. Specifically, we demonstrate that multi-device access and simultaneous multi-user participation capabilities foster democratic environments in the industrial metaverse, which are challenging to achieve with conventional, expert-dependent systems.