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  • 标题:Opportunities and Challenges to Develop Digital Twins for Subsea Pipelines
  • 本地全文:下载
  • 作者:Chen, Bai-Qiao ; Videiro, Paulo M. ; Guedes Soares, C.
  • 期刊名称:Journal of Marine Science and Engineering
  • 电子版ISSN:2077-1312
  • 出版年度:2022
  • 卷号:10
  • 期号:6
  • 页码:1-19
  • DOI:10.3390/jmse10060739
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:A vision of the digital twins of the subsea pipelines is provided in this paper, with a coverage of the current applications and the challenges of the digital twins in the design, construction, service life, and assessments of life extension. Digital twins are described as a paradigm combining multi-physics modelling with data-driven analytics, which are used to mirror the life of its corresponding twin. Realistic virtual models of structural systems are shown to bridge the gap between design and construction and to mirror the real and virtual worlds. Challenges in properly using the new tools and how to create accurate digital twins considering data acquired during the construction phase are discussed. The key opportunities for improved integrity management using the digital twin are data contextualization, standardization, automated anomaly detection, and learning through sharing. The collection, interpretation and sharing of data, and cyber-security are identified as some of the main challenges.
  • 关键词:digital twin; subsea pipeline; IoT; maintenance
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