3D model reconstruction and visualization of digital factory based on multi-source data fusion

doi:10.13474/j.cnki.11-2246.2024.0217

Abstract

Abstract: Providing current, detailed, and accurate spatial and geographic information data is crucial for assisting intelligent decision-making in areas such as enterprise safety production, emergency response command, and accident investigation. This article focuses on the key technology of virtual construction of digital factories, and uses a combination of macroscopic modeling with airborne oblique photogrammetry and fine modeling with local ground-based 3D laser scanning technology to construct a model of the factory area. With the support of the front-end Cesium framework and Web GL technology, combined with Microsoft's Web preview version of Bing maps service, users can visualize the “digital factory” 3D scene in their web browser, thereby enhancing the informationization level of enterprise safety production and preventing and controling major safety accidents.

Key words: oblique photogrammetry, terrestrial LiDAR, data fusion, ICP, digital factory, Cesium, model visualization

CLC Number:

P237

DU Jiatao, WANG Fengyan, WANG Mingchang, WU Xiang, LIU Xingnan, MA Runze, AN Zhilei. 3D model reconstruction and visualization of digital factory based on multi-source data fusion[J]. Bulletin of Surveying and Mapping, 2024, 0(2): 95-99.

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