Cross Platform Lightweight and Efficient Digital Twin Model Interaction Component for Equipment Inventory Management

With the increasingly complex demand for equipment inventory management, traditional two-dimensional display methods are no longer able to meet users' requirements for information intuitiveness and interactivity. In addition, the geometric twin model of equipment and the product performance prediction model are important components of data elements in the digital space, so it is necessary to explore the interaction methods and linkage mechanisms. This article proposes a cross platform lightweight 3D scene interaction solution based on Vue framework and Three.js for equipment inventory management. Provide rich 3D scene interaction functions through track control, model drilling, highlight picking, explosion effects, and FMU model association. And through methods such as 3D model object picking, adaptive camera field of view, 3D model compression, page caching, and time-sharing function optimization of front-end loading speed, the interactive performance and user experience of 3D models on the web have been effectively improved. The experimental results show that these optimization methods significantly reduce model loading time, improve system response speed and stability, and provide new ideas and methods for visualizing equipment inventory management. At the same time, by combining the FMU model, the geometric twin model of inventory equipment can be combined with the product physical performance prediction model to provide component level performance prediction and visualization functions.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11103034
Primary Topic
Digital Transformation in Industry
Type
article
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article

Cross Platform Lightweight and Efficient Digital Twin Model Interaction Component for Equipment Inventory Management

Xihua Liu, Yaohui Zhang, Wenjie Gao, Zhen Liu et al.
Digital Transformation in Industry
article

Cross Platform Lightweight and Efficient Digital Twin Model Interaction Component for Equipment Inventory Management

Xihua Liu, Yaohui Zhang, Wenjie Gao, Zhen Liu, Yanmei Luo, Guiyu Lai
article en

Abstract

With the increasingly complex demand for equipment inventory management, traditional two-dimensional display methods are no longer able to meet users' requirements for information intuitiveness and interactivity. In addition, the geometric twin model of equipment and the product performance prediction model are important components of data elements in the digital space, so it is necessary to explore the interaction methods and linkage mechanisms. This article proposes a cross platform lightweight 3D scene interaction solution based on Vue framework and Three.js for equipment inventory management. Provide rich 3D scene interaction functions through track control, model drilling, highlight picking, explosion effects, and FMU model association. And through methods such as 3D model object picking, adaptive camera field of view, 3D model compression, page caching, and time-sharing function optimization of front-end loading speed, the interactive performance and user experience of 3D models on the web have been effectively improved. The experimental results show that these optimization methods significantly reduce model loading time, improve system response speed and stability, and provide new ideas and methods for visualizing equipment inventory management. At the same time, by combining the FMU model, the geometric twin model of inventory equipment can be combined with the product physical performance prediction model to provide component level performance prediction and visualization functions.

China Academy of Engineering Physics (CN)
Openalex Percentile: Top 72%
Digital Transformation in Industry
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Cross Platform Lightweight and Efficient Digital Twin Model Interaction Component for Equipment Inventory Management — Xihua Liu, Yaohui Zhang, et al. · (2025) | TGRS Research Map | TGRS