商用车中的数字孪生和网络-物理系统集成:最新概念、挑战和机遇

IF 14 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Intelligent Vehicles Pub Date : 2024-03-18 DOI:10.1109/TIV.2024.3378579
Vitor Furlan de Oliveira;Guilherme Matiolli;Cláudio José Bordin Júnior;Ricardo Gaspar;Romulo Gonçalves Lins
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引用次数: 0

摘要

数字孪生(DTs)和网络物理系统(CPSs)有望在创建智能、互联和高效的商用车辆(巴士和卡车)方面发挥关键作用。为分析该领域的知识现状,我们进行了系统的文献综述。综述结果表明了在该领域使用这些技术解决方案的成功案例。但同时也指出,需要就 DT 和 CPS 的定义达成明确共识,从而带来概念上的挑战。此外,分析表明,大多数研究仅从一个角度考虑了 DT 和 CPS 中的有形资产,这表明有必要从多个方面探讨这些资产。本研究还强调了工业 4.0(I4.0)及其标准的潜力,认为它们是解决已发现差距的可能方案。本研究强调,追求集成和互操作性是推进实物资产的表示和有效利用的一个有前途的方向。这项工作全面概述了与商用车辆中的 DT 和 CPS 有关的机遇和挑战,强调了在这一不断发展的领域进行研究和开发的持续需求。
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Digital Twin and Cyber-Physical System Integration in Commercial Vehicles: Latest Concepts, Challenges and Opportunities
Digital Twins (DTs) and Cyber-Physical Systems (CPSs) have the potential to play a crucial role in creating intelligent, connected, and efficient commercial vehicles (buses and trucks). A systematic literature review was conducted to analyze this area's current state of knowledge. The results of the review point to successful cases of using these technological solutions in this area. However, it also points to the need for a clear consensus regarding the definition of DT and CPS, generating conceptual challenges. Furthermore, the analysis reveals that most studies consider only one perspective concerning physical assets in DTs and CPSs, indicating the need to explore multiple dimensions of these assets. This study also emphasizes the potential of Industry 4.0 (I4.0) and its standards as possible solutions to address the identified gaps. The pursuit of integration and interoperability is highlighted as a promising direction to advance the representation and effective use of physical assets. This work provides a comprehensive overview of the opportunities and challenges related to DTs and CPSs in commercial vehicles, highlighting the continued need for research and development in this evolving field.
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来源期刊
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization
CiteScore
12.10
自引率
13.40%
发文量
177
期刊介绍: The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.
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