Development of Large-capacity BIM Optimization and Augmented Reality Visualization Technology

Abstract

The construction industry builds and utilizes BIM models to efficiently manage collected data. In order to develop into the future construction industry through construction automation, visualization of construction information based on augmented reality (AR) that connects the real environment and the virtual world is essential. BIM combined with augmented reality enables real-time visualization and can improve decision-making and project processing efficiency. However, most BIM models in the field of architecture, engineering, and construction (AEC) are large and have many difficulties in expressing information in a web-based platform or AR device environment due to the vast amount of data. In order to efficiently visualize BIM data even with such limited resources, construction large-capacity BIM optimization algorithm for augmented reality visualization technology is developed in this study. As a result of laboratory experiments, the proposed algorithm maintained the characteristics of the original model while efficiently compressing the vertices, triangles, and file size of the geometric model while maintaining the overall shape of the model. The optimized model can visualize for AR device environments and is expected to be used as data visualization and augmented reality automation systems at construction sites.