工程中的数字线程:概念、技术状态和使能框架

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Shouxuan Wu , Guoxin Wang , Jinzhi Lu , Yan Yan , Yihui Gong , Mengru Dong , Dimitris Kiritsis
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引用次数: 0

摘要

数字线程(DT)作为复杂工程系统开发的一种新范式,近年来引起了广泛的关注。数字化设计是工程系统数字化转型的关键驱动力和游戏规则改变者,因为它在促进利益相关者协作以帮助决策方面具有优势。本研究提供了一个系统的和定量的调查出版物关于DT。通过使用文献计量分析工具,可以直观地识别工程领域中数据挖掘的最新进展。通过对研究团队分布、专业出版来源、当前研究课题和未来研究趋势的分析,发现当前的数据挖掘研究在数据-信息-知识-智慧(data-information-knowledge-wisdom, DIKW)模型的启发下,强调生命周期、集成、互操作性和决策等特征。通过从这些关键特征的角度系统回顾相关文献,我们提出了一个数字化创新的使能框架,包括概念、参考架构和“3I”使能技术(集成;互操作性;以及智能决策技术)。最后,我们概述了DT在工程领域面临的当前挑战,包括有关集成挑战、专业劳动力和成本分析的问题。本研究旨在更全面地了解工程领域DT的现状和研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital thread in engineering: Concept, state of art, and enabling framework
The digital thread (DT), a new paradigm for the development of complex engineering systems, has garnered widespread attention in recent years. The DT serves as a key driver and game-changer for the digital transformation of engineering systems due to its advantages in promoting the collaboration of stakeholders to aid decision-making. This study provides a systematic and quantitative survey of publications about the DT. By using bibliometric analysis tools, current progress on the DT in the engineering domain is visually identified. We analyzed the distribution of research teams, professional publishing sources, current research topics, and future research trends, revealing that current research of DT emphasizes the features of lifecycle, integration, interoperability, and decision-making inspired by the data-information-knowledge-wisdom (DIKW) model. Through a systematic review of relevant publications from the perspective of these key features, we propose an enabling framework of the DT, including the concept, reference architecture, and “3I” enabling technologies (integration; interoperability; and intelligent decision technologies). Finally, we outline the current challenges faced by the DT in the engineering domain, including issues about integration challenges, professional workforce, and cost analysis. This study aims to facilitate a more comprehensive understanding of the current states and research directions of the DT in the engineering domain.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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