TY - GEN
T1 - A Survey of Visualization Techniques for Digital Twins
AU - Paziraei, Mahsa
AU - Motamedi, Ali
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - In today’s fast-evolving technological landscape, digital twins are emerging for understanding and managing complex systems and to assist stakeholders in the process of informed decision-making. Despite the growing importance of this technology, there exists a noticeable gap in the literature, with limited attention devoted to crafting effective visualization techniques tailored specifically to digital twins. To rectify this gap, this paper’s primary objective is to conduct a thorough examination of existing research, encompassing a diverse array of use cases benefiting from various visualization techniques. This comprehensive inquiry has led to the categorization of visualization techniques based on data types, specific use cases, interactivity requirements, and system complexity. The outcomes can be used by researchers and industry practitioners to better design and implement data visualization interfaces for their developed digital twins, allowing visual analytics and heuristic problem solving using integrated data of digital twins.
AB - In today’s fast-evolving technological landscape, digital twins are emerging for understanding and managing complex systems and to assist stakeholders in the process of informed decision-making. Despite the growing importance of this technology, there exists a noticeable gap in the literature, with limited attention devoted to crafting effective visualization techniques tailored specifically to digital twins. To rectify this gap, this paper’s primary objective is to conduct a thorough examination of existing research, encompassing a diverse array of use cases benefiting from various visualization techniques. This comprehensive inquiry has led to the categorization of visualization techniques based on data types, specific use cases, interactivity requirements, and system complexity. The outcomes can be used by researchers and industry practitioners to better design and implement data visualization interfaces for their developed digital twins, allowing visual analytics and heuristic problem solving using integrated data of digital twins.
KW - Cyber-Physical Systems
KW - Data Representation
KW - Data Visualization Methods
KW - Digital Twins
KW - Visual Analytics
UR - https://www.scopus.com/pages/publications/105001369090
U2 - 10.1007/978-3-031-84208-5_43
DO - 10.1007/978-3-031-84208-5_43
M3 - Contribution to conference proceedings
AN - SCOPUS:105001369090
SN - 9783031842078
T3 - Lecture Notes in Civil Engineering
SP - 586
EP - 599
BT - Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2024 - Volume 1
A2 - Francis, Adel
A2 - Miresco, Edmond
A2 - Melhado, Silvio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on Computing in Civil and Building Engineering, ICCCBE 2024
Y2 - 25 August 2024 through 28 August 2024
ER -