Research and Application of Digital Twin Maturity Model for Underground Engineering

被引：0

作者：

Li, Tao ^{[1
]}

Li, Xiaojun ^{[1
]}

Xu, Bo ^{[2
]}

Hong, Qiang ^{[3
]}

Chen, Chao ^{[1
]}

机构：

[1] College of Civil Engineering, Tongji University, Shanghai

[2] State Key Laboratory of Rail Transit Engineering Informatization, China Railway First Survey and Design Institute Group, Xi’an

[3] Institute of Intelligent Transportation, Zhejiang Academy of Transport Sciences, Hangzhou

来源：

Tongji Daxue Xuebao/Journal of Tongji University | 2024年 / 52卷 / 12期

关键词：

digital twin; intelligent construction; maturity evaluation; maturity grading; underground engineering;

D O I：

10.11908/j.issn.0253-374x.22530

中图分类号：

学科分类号：

摘要：

This paper investigates the research progress of digital twin and proposes a novel digital twin concept framework for underground engineering. The digital twin maturity grading method is analyzed,and a five-level progressive developed digital twin maturity grading composed of description,reflection,prediction,control and fusion is proposed. Based on extensive literature research,a maturity impact factor system is developed, and a digital twin maturity evaluation model(DTMM)is proposed based on an optimized decision experimentation and evaluation laboratory (DEMATEL) and analytic network process(ANP)joint method for evaluating the degree of cause,centrality and dependency. Finally,the DTMM is applied in conjunction with an underground project,and the results proved that the method proposed in this paper is applicable to underground projects and has implications for the development of digital twin in underground engineering. © 2024 Science Press. All rights reserved.

引用

页码：1813 / 1822

页数：9

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