Jinfeng Liu , Yiming Zhang , Zhuoyao Liu , Jiewu Leng , Honggen Zhou , Shimin Gu , Xiaojun Liu
{"title":"Digital twins enable shipbuilding","authors":"Jinfeng Liu , Yiming Zhang , Zhuoyao Liu , Jiewu Leng , Honggen Zhou , Shimin Gu , Xiaojun Liu","doi":"10.1016/j.aej.2024.09.007","DOIUrl":null,"url":null,"abstract":"<div><p>In the context of Industry 4.0, the most important trend in the shipbuilding industry is to efficiently manufacture intelligent and more environmentally friendly ships. This requires the shipbuilding industry to achieve technological innovations in all aspects of the ship's life cycle and accelerate the digital transformation of the industry. Thanks to the development of new-generation information technology, digital twins have received widespread attention and application in the manufacturing industry. The excellent performance of digital twins in monitoring, diagnosis and decision support also provides strong support for the digital transformation of the manufacturing industry. However, the application and development of digital twin technology are constrained when faced with the complex and discrete manufacturing processes in the shipbuilding industry. To address the constraints in the shipbuilding industry, promote the application of digital twin technology, and support the digital transformation of the shipbuilding industry, a statistical analysis of publications linked to the shipbuilding industry and digital twin using the Web of Science and the Scopus are done in this paper. The application and development of digital twin in the shipbuilding industry was systematically analyzed, the problems restricting the development of digital twin in the shipbuilding industry was summarized. Finally, the development trend of digital twin in shipbuilding industry prospects.</p></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"107 ","pages":"Pages 915-931"},"PeriodicalIF":6.8000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110016824010226/pdfft?md5=90c80a1a8794849a4c485b366e5664bb&pid=1-s2.0-S1110016824010226-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016824010226","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of Industry 4.0, the most important trend in the shipbuilding industry is to efficiently manufacture intelligent and more environmentally friendly ships. This requires the shipbuilding industry to achieve technological innovations in all aspects of the ship's life cycle and accelerate the digital transformation of the industry. Thanks to the development of new-generation information technology, digital twins have received widespread attention and application in the manufacturing industry. The excellent performance of digital twins in monitoring, diagnosis and decision support also provides strong support for the digital transformation of the manufacturing industry. However, the application and development of digital twin technology are constrained when faced with the complex and discrete manufacturing processes in the shipbuilding industry. To address the constraints in the shipbuilding industry, promote the application of digital twin technology, and support the digital transformation of the shipbuilding industry, a statistical analysis of publications linked to the shipbuilding industry and digital twin using the Web of Science and the Scopus are done in this paper. The application and development of digital twin in the shipbuilding industry was systematically analyzed, the problems restricting the development of digital twin in the shipbuilding industry was summarized. Finally, the development trend of digital twin in shipbuilding industry prospects.
在工业 4.0 的背景下,造船业最重要的趋势是高效制造智能化和更环保的船舶。这就要求造船业在船舶生命周期的各个环节实现技术创新,加快行业的数字化转型。得益于新一代信息技术的发展,数字孪生在制造业得到了广泛的关注和应用。数字孪生在监测、诊断和决策支持等方面的优异表现,也为制造业的数字化转型提供了有力支撑。然而,面对造船业复杂、离散的制造流程,数字孪生技术的应用和发展受到了制约。为了解决造船业的制约因素,促进数字孪生技术的应用,支持造船业的数字化转型,本文利用 Web of Science 和 Scopus 对与造船业和数字孪生相关的出版物进行了统计分析。系统分析了数字孪生在造船业的应用和发展,总结了制约数字孪生在造船业发展的问题。最后,对数字孪生在造船业的发展趋势进行了展望。
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering