Digital Twins in Construction Automation
A special issue of Automation (ISSN 2673-4052).
Deadline for manuscript submissions: 31 May 2025 | Viewed by 236
Special Issue Editor
Special Issue Information
Dear Colleague,
A digital twin in automation is a virtual model of a physical asset, system, or process used in automated environments. It integrates real-time data, advanced analytics, and machine learning to replicate and analyze the behavior of its real-world counterpart. This technology improves operational efficiency, predictive maintenance, and decision making, making it invaluable in industries like manufacturing, logistics, and construction.
In construction automation, digital twins simulate and monitor construction activities, structures, and systems. They offer detailed insights into construction progress, material usage, and potential issues, enabling better project planning, monitoring, and optimization. Digital twins enhance decision making, improve safety, and increase efficiency in the construction industry by facilitating predictive maintenance and allowing for the virtual testing of design changes. This approach not only streamlines construction processes but also helps in proactively addressing challenges, ensuring smoother project execution and better resource management.
Dr. Bonyong Koo
Guest Editor
Manuscript Submission Information
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Keywords
- construction automation
- operaional management of construction site
- construction project planning
- asset management and decision making
- virtual testing
- human robot cooperation and safety
- machine–soil interaction
- autonomous cooperative work
- vision and path planning
- cybersecurity
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