Digital Twins and Cyber-Physical Systems:A New Frontier in Computer Modeling  

作　　者：Vidyalakshmi G S Gopikrishnan Wadii Boulila Anis Koubaa Gautam Srivastava 

机构地区：[1]Department of Computer Science and Engineering,SRM University AP,Amaravati,522240,India [2]School of Computer Science and Engineering,VIT-AP University,Amaravathi,522240,India [3]Robotics and Internet-of-Things Laboratory,Prince Sultan University,Riyadh,12435,Saudi Arabia [4]Department of Math and Computer Science,Brandon University,Brandon,MB R7A6A9,Canada [5]Research Centre for Interneural Computing,China Medical University,Taichung,40402,Taiwan

出　　处：《Computer Modeling in Engineering & Sciences》2025年第4期51-113,共63页工程与科学中的计算机建模(英文)

摘　　要：Cyber-Physical Systems(CPS)represent an integration of computational and physical elements,revolutionizing industries by enabling real-time monitoring,control,and optimization.A complementary technology,Digital Twin(DT),acts as a virtual replica of physical assets or processes,facilitating better decision making through simulations and predictive analytics.CPS and DT underpin the evolution of Industry 4.0 by bridging the physical and digital domains.This survey explores their synergy,highlighting how DT enriches CPS with dynamic modeling,realtime data integration,and advanced simulation capabilities.The layered architecture of DTs within CPS is examined,showcasing the enabling technologies and tools vital for seamless integration.The study addresses key challenges in CPS modeling,such as concurrency and communication,and underscores the importance of DT in overcoming these obstacles.Applications in various sectors are analyzed,including smart manufacturing,healthcare,and urban planning,emphasizing the transformative potential of CPS-DT integration.In addition,the review identifies gaps in existing methodologies and proposes future research directions to develop comprehensive,scalable,and secure CPSDT systems.By synthesizing insights fromthe current literature and presenting a taxonomy of CPS and DT,this survey serves as a foundational reference for academics and practitioners.The findings stress the need for unified frameworks that align CPS and DT with emerging technologies,fostering innovation and efficiency in the digital transformation era.

关 键 词：Cyber physical systems digital twin efficiency Industry 4.0 robustness and intelligence 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]