New Trends on Digital Twin-Based Blockchain Technology in Zero-Emission Ship Applications
【Author】 Bozorgastl, Zavareh; Foroozan, Hossein; Gheisarnejad, Meysam; Khooban, Mohammad-Hassan
【Source】NAVAL ENGINEERS JOURNAL
【影响因子】0.325
【Abstract】Nowadays, with the widespread industrial use of digital data and relative maturity of the Internet of Things (IoT), and data analytics (artificial intelligence (AI), machine learning (ML), and data visualization), we can design, customize, and implement plenty of systems which once were unimaginable. A combination of the mentioned fields leads to the emergence of new technology, i.e., Digital Twins (DT). The potentials of DT in different fields have changed the perspective of most academia/industry leaders around the world. The fundamental concept of DT lies in developing the living and intelligent model which faithfully mimics the physical system during the lifetime of the physical ones. Indeed, by co-evolving with the physical system, the DT can precisely explore the design flaws of the virtual environment and make quick changes, which will ameliorate the design, prevent tedious confirmation and experiments. In review research, the principle definitions, architecture, characteristics of DT as well as the enabling key technologies of this context are briefly provided; after that, the ranges of applications of DT in manufacturing and industry will be presented. In particular, the evaluation details and challenges related to the zero-emission ships along with its DT model, which recently have been getting attention in academia, industry, and government, have been discussed. Eventually, the standardized application of blockchain technology, regarded as distributed ledger technology (DLT), will be introduced as a practical solution for data storage, data access, data sharing, data security, and data integrity in the DT.
【Keywords】Digital Twins (DT); Machine Learning (ML); Blockchain; Internet of Things (IoT); Zero-emission Ship
【发表时间】2021 SEP 1
【收录时间】2022-03-02
【文献类型】期刊
【主题类别】
区块链应用-交通领域-
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