能源行业智能资产管理的数字孪生:最先进的技术

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
U. Amin , D. Kim , F.N. Ahmed , G. Ahmad , M.J. Hossain
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引用次数: 0

摘要

随着物联网(IoT)、机器学习和大数据的最新发展,数字孪生(dt)在多个领域越来越受欢迎。由于数字孪生(DT)可以被视为一种网络物理系统,许多数字孪生应用已经成功地应用于工业物联网(IIoT)。随着DT在工业4.0的成功,DT在能源4.0中的智能资产管理(SAM)越来越受到学术界和工业界的关注。然而,在能源4.0范式下,专门研究DTs在SAM领域背景下的应用的研究论文明显缺乏。因此,本文通过深入研究能源4.0中SAM的DT研究的最新进展来解决这一差距。它全面探讨了DTs的基本方面,提供了他们在能源4.0框架内的当前进展的见解,并阐明了DTs在SAM领域的各种应用。此外,本文还强调了该领域存在的挑战,并提出了未来研究的潜在方向。本文的综述将有助于行业专家在SAM应用中实现DT,并为研究人员提供新的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital twins for smart asset management in the energy industry: State-of-the-art
With the most recent developments in the Internet of Things (IoT), Machine Learning, and Big Data, digital twins (DTs) are gaining popularity across several sectors. Since digital twin (DT) could be viewed as a cyber-physical system, many DT applications have been successfully implemented for the Industrial Internet of Things (IIoT). Following DT’s success with Industry 4.0, DT is increasingly receiving the attention of academia and industry for smart asset management (SAM) in Energy 4.0. Nevertheless, there has been a notable absence of research papers specifically dedicated to reviewing the applications of DTs in the context of the SAM domain within the Energy 4.0 paradigm. Hence, this paper addresses this gap by thoroughly examining the latest advancements in DT research on SAM in Energy 4.0. It comprehensively explores the fundamental aspects of DTs, provides insights into their current progress within the Energy 4.0 framework, and elucidates the various applications of DTs within the SAM domain. Furthermore, the paper highlights the existing challenges and presents potential directions for future research endeavors in this field. This review will assist industry experts in implementing DT in SAM applications and provide new research directions for researchers.
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来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
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