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

2025-08-07

AI Summary

Traditional professional 3D design data—such as BIM and CAD—are highly dependent on expert users, severely limiting non-expert participation in industrial and architectural decision-making. Method: This paper proposes a multi-format 3D data integration workflow for the industrial metaverse, unifying digital twin and cross-platform metaverse technologies to enable automated conversion, lightweight optimization, and cross-device real-time rendering of heterogeneous BIM/CAD data. Built upon the Cluster commercial metaverse platform, the workflow establishes a collaborative decision-making environment supporting concurrent multi-user interaction and low-barrier access. Contribution/Results: Experiments demonstrate the method’s effectiveness in integrating multi-domain 3D data, achieving millisecond-level state synchronization, and improving decision-making efficiency among non-expert users. The approach significantly enhances the openness, accessibility, and democratization of industrial digital systems.

Technology Category

• Data Mining & Knowledge Management: Mining of Visual, Multimedia & Multimodal Data
• Computer Vision: 3D Computer Vision
• Humans and AI: Crowd Sourcing and Human Computation

Application Category

• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• Web Mining and Content Analysis: Web data integration and cleaning

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.

Problem

• Integrating diverse 3D data formats for cross-device metaverse platforms
• Enabling non-expert access to BIM and CAD for collaborative decision-making
• Combining metaverse and digital twin for industrial and architectural applications

Innovation

• Multi-format 3D data integration workflows
• Cross-device metaverse platform Cluster
• Digital twin and metaverse fusion