TY - GEN
T1 - Interactive Data Retrieval and Visualization in Digital Twins of Built Assets
AU - Paziraei, Mahsa
AU - Motamedi, Ali
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - The construction industry faces persistent challenges regarding data management, including fragmentation of data and inefficiencies in existing data retrieval systems. Digital twin (DT) technology has emerged as a powerful solution for integrating and visualizing diverse data within construction projects. This research proposes a framework for managing and visualizing multi-format data, such as documents, images, tables, and videos, within a DT environment for infrastructure assets. The framework introduces an architecture with distinct components for data entry, storage, and visualization. A setup process defines the asset hierarchy, enables data entry, segments data into smaller, meaningful units, and links these segments to specific elements or element categories within the asset hierarchy. The runtime processes support data retrieval and interactive visualization through the DT web interface, improving operational efficiency. By addressing challenges in data segmentation and retrieval, this framework provides a streamlined approach to construction data management, enhancing decision-making and usability.
AB - The construction industry faces persistent challenges regarding data management, including fragmentation of data and inefficiencies in existing data retrieval systems. Digital twin (DT) technology has emerged as a powerful solution for integrating and visualizing diverse data within construction projects. This research proposes a framework for managing and visualizing multi-format data, such as documents, images, tables, and videos, within a DT environment for infrastructure assets. The framework introduces an architecture with distinct components for data entry, storage, and visualization. A setup process defines the asset hierarchy, enables data entry, segments data into smaller, meaningful units, and links these segments to specific elements or element categories within the asset hierarchy. The runtime processes support data retrieval and interactive visualization through the DT web interface, improving operational efficiency. By addressing challenges in data segmentation and retrieval, this framework provides a streamlined approach to construction data management, enhancing decision-making and usability.
KW - Common data environment
KW - Common data environment
KW - Construction data retrieval
KW - Data management
KW - Digital Twin (DT)
KW - Document management
UR - https://www.scopus.com/pages/publications/105040904100
U2 - 10.1007/978-981-95-8489-5_30
DO - 10.1007/978-981-95-8489-5_30
M3 - Contribution to conference proceedings
AN - SCOPUS:105040904100
SN - 9789819584888
T3 - Lecture Notes in Civil Engineering
SP - 385
EP - 394
BT - Proceedings of the International Conference on Smart and Sustainable Built Environment - SASBE 2025
A2 - Rahimian, Farzad
A2 - Hosseini, M. Reza
A2 - Akanmu, Abiola
A2 - Lafhaj, Zoubeir
A2 - Ducoulombier, Laure
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Smart and Sustainable Built Environment, SASBE 2025
Y2 - 3 November 2025 through 5 November 2025
ER -