Inaugural Editorial - Digital Twin

Digital Twin Pub Date : 2021-09-22 DOI:10.12688/digitaltwin.17471.1

Fei Tao, Qinglin Qi, Ang Liu

引用次数: 1

Abstract

Professor Fei Tao from Beihang University initiated Digital Twin (ISSN 2752-5783), the first open research publishing platform dedicated to digital twin technologies and applications. It is published by F1000, part of the Taylor & Francis Group and sponsored by Beihang University. Digital Twin has been set up to accommodate the outputs of scientific research and engineering applications that are related to digital twin.

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首期社论-数字孪生

北航大学费涛教授发起了“数字孪生”（ISSN2752-5783），这是首个致力于数字孪生技术和应用的开放研究出版平台。该书由F1000出版，该书是泰勒·弗朗西斯集团的一部分，由北航大学赞助。建立数字孪生是为了适应与数字孪生相关的科学研究和工程应用的输出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Digital Twin digital twin technologies-

自引率

0.00%

发文量

期刊介绍： Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.