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http://dx.doi.org/10.6109/jkiice.2021.25.11.1670

Efficient 3D Modeling Automation Technique for Underground Facilities Using 3D Spatial Data  

Lee, Jongseo (Movements Research Center, Movements Co., Ltd.)
Abstract
The adoption of smart construction technology in the construction industry is progressing rapidly. By utilizing smart construction technologies such as BIM (Building Information Modeling), drones, artificial intelligence, big data, and Internet of Things technology, it has the effect of lowering the accident rate at the construction site and shortening the construction period. In order to introduce a digital twin platform for construction site management, real-time construction site management is possible in real time by constructing the same virtual space. The digital twin virtual space construction method collects and processes data from the entire construction cycle and visualizes it using a 3D model file. In this paper, we introduce a modeling automation technique that constructs an efficient digital twin space by automatically generating 3D modeling that composes a digital twin space based on 3D spatial data.
Keywords
Digital twin; 3D modeling automation; 3D spatial data; Smart construction technology;
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