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- Title
融合数字孪生与混合现实的震损建筑指导加固方法.
- Authors
刘占省; 白文燕; 杜修力
- Abstract
The reinforcement and repair process of earthquake-damaged building is a key factor in improving its seismic capability. A thorough understanding of reinforcement methods and processes will aid in repairing earthquake-damaged buildings and improving seismic capability. Based on the development concept of digital twin and mixed reality, an intelligent guidance method suitable for earthquake-damaged building reinforcement was proposed, and a guidance reinforcement system based on digital twin and mixed reality was established. Firstly, a digital twin model was built, including four operating spaces, operations in each space and twin data. Twin databases were built to manage large amounts of data. In order to realize bidirectional mapping between physical space and virtual space, a human-computer interaction mechanism suitable for mixed reality was developed with the help of HoloLens. Finally, to evaluate the practicability and effectiveness of the proposed method, an experimental scenario was prepared for usability testing. Twenty participants were recruited using purposive sampling, and they performed the same reinforcement task under the guidance of the 2 D paper version or the DTMR-DRS module. Their time to complete the task, error rate were recorded and they were asked to fill out a questionnaire. The results show that compared with traditional paper documents, the developed system DTMR-DRS transmits information more quickly. The display of text-voice-video-model also makes the construction guidance more stereoscopic and comprehensive. It has significant advantages in helping reinforcement constructors to improve work efficiency and reduce rework rates, making contribution to the research of related knowledge systems.
- Subjects
BUILDING reinforcement; MIXED reality; DIGITAL twins; BUILDING repair; JUDGMENT sampling; HUMAN-computer interaction; BUILDING failures; EFFECT of earthquakes on buildings
- Publication
Journal of Architecture & Civil Engineering, 2022, Vol 39, Issue 4, p146
- ISSN
1673-2049
- Publication type
Article
- DOI
10.19815/j.jace.2022.04015