Research on Key Technologies of 3D Real Scene Visualization Based on Multi-source Observation Data Fusion

Abstract

Based on the big data of multi-source observation of the underwater environment of the Hong Kong-Zhuhai-Macao Bridge,this study constructed an underwater three-dimensional(3D) scene with multi-source data fusion,realized the visual presentation and management of the underwater environment of large structures,and satisfied the requirements of visual operation and safety detection and protection of large structures.In this paper,the key technologies related to multisource spatio-temporal big data fusion and 3D real scene visualization were studied,a multi-storage distributed storage framework for hybrid spatio-temporal big data is constructed,a hierarchical organization model for spatio-temporal big data is proposed,and multi-source observation data fusion of large underwater structures is realized.Furthermore,3D scenes are rendered based on technologies such as WebGL,onshore/undersea terrain simulation,and gridding to realize 3D real-world visualization.The construction of a 3D real scene visualization model based on multi-source spatiotemporal big data fusion can quickly realize the deformation monitoring and spatiotemporal deduction of the Hong Kong-Zhuhai-Macao Bridge.Based on the fused 3D scene,the evolution analysis of underwater terrain and stratum can be conducted,which can effectively support the monitoring and management of the underwater environment of large structures.