STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on 3D Digital Twin Construction: Visualization-Driven Transformation of Chinese Manufacturing Towards Intelligentization
DOI: https://doi.org/10.62517/jbdc.202501108
Author(s)
Xuan Li, Yu Bai
Affiliation(s)
Xi’an Ouya College, Xi’an, Shaanxi, China
Abstract
China’s economy has shifted from rapid growth to high-quality development, and the manufacturing sector is now facing an inevitable transformation from "quantity expansion" to "quality improvement." In this important historical process, the present study focuses on the application value of 3D digital twin technology in the intelligent transformation of Chinese manufacturing. By in-depth analysis of the synergistic advantages of digital twin and visualization technologies, the study explores how these two cutting-edge techniques can be harnessed to enhance the overall intelligence of China’s manufacturing industry. Based on a research approach that integrates theory and practice, this paper innovatively explores the framework for constructing a 3D digital twin system, and through simulation of typical scenarios, summarizes the current state of technology development and future trends. The result is an actionable industrial solution that provides systematic theoretical support and practical guidance for the intelligent transformation of Chinese manufacturing.
Keywords
3D Digital Twin; 3D Visualization; Chinese Manufacturing; Intelligent Transformation
References
[1] Ren Jun’en: Application of Digital Twin Technology in Intelligent Machining Manufacturing. Equipment Manufacturing Technology, 2024(08), p.143. [2] Liu Yuquan, Song Yufei, Liang Jinzhao, Yu Qiuling: Integrated Digital Standards for Power Equipment to Support Intelligent Manufacturing. Southern Power Grid Technology, 2022(12), p.52. [3] Xiang Chenmeng, Zeng Siming, Yan Peng, Zhao Jianli, Jia Boyan: Typical Applications and Prospects of Digital Twin Technology in Power Grid Operation. High Voltage Technology, 2021(04), p.1565. [4] Yang Ming, Dong Qiannan, Dong Mengying: Modeling, Simulation, and Optimization Analysis of Digital Twin Technology in Intelligent Manufacturing. Shanghai Light Industry, 2025(01), p.134. [5] Zhang Xiangmu: Digital and Intelligent Transformation of Manufacturing in the Era of Industrial Artificial Intelligence. Electrical Times, 2025(01), p.22. [6] Li Tingting, Liu Rui, Chang Qing, Zhao Lijuan: Analysis of Application Scenarios for Smart Hospital Logistics Based on Digital Twin Technology. China Northwest Design & Research Institute of Architecture Co., Ltd., 2022(04), p.106. [7] Xie Kang, Xiao Jinghua, Deng Honglin: Enterprise Strategic Scenario Modeling and Decision Analysis Driven by Digital Twin. China Informatization, 2019(02), p.9.
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