Affiliation:
1. National Center of Technology Innovation for Digital Construction Huazhong University of Science and Technology Wuhan Hubei China
2. School of Civil and Hydraulic Engineering Huazhong University of Science and Technology Wuhan Hubei China
3. Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China
4. Shandong Community Construction Machinery Co., Ltd. Jining Shandong China
5. Shantui Construction Machinery Co., Ltd. Jining Shandong China
Abstract
AbstractThe unstructured construction site with a complex and changeable environment brings challenges to human–machine interaction. In this study, the earthwork digital twin (DT) is proposed to realize accurate and real‐time perception, which can support the teleoperation of an automated bulldozer. The overall framework includes anterior‐time DT, real‐time DT, and posterior‐time DT, which integrates three‐dimensional modeling, edge detection, and blade trajectory algorithms. Multidimensional heterogeneous data in bulldozer teleoperation can be displayed in real‐time to ensure construction safety. Big data during teleoperation of the construction process can be collected, stored, and analyzed. The DT proposed in this study was successfully applied in a major construction project in China, and testing results show its universality, robustness, and advanced performance. The key technologies proposed in this study can be applied to solve the common problems in the construction industry, which is promising for future intelligent construction.
Funder
National Natural Science Foundation of China
Subject
Computer Science Applications,Control and Systems Engineering
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献