面向实景三维应用的基础测绘存量数据实体化改造关键技术研究
Research on Key Technologies for Physical Entity Transformation of Existing Fundamental Surveying and Mapping Data Stock for Real-World 3D Applications

针对现有基础测绘存量数据实体化改造技术在实景三维大规模生产与应用中存在的难题，本文提出一套改进的生产流程，并对实体数据分层分类、模态重构、数据编码三项关键技术进行改进研究。在郴州市实景三维建设项目中进行试验，结果表明：使用本文技术方案进行存量数据实体化改造能够有效提升生产效率并减少返工率，为实景三维的大范围应用推广提供高效的数据支持。
In response to the challenges existing in the large-scale production and application of real-world 3D models with the physical entity transformation of existing basic surveying and mapping data stock, this paper proposes an improved production process, focusing on the research and improvement of three key technologies: entity data stratification and classification, modal reconstruction, and data encoding. The proposed technical solution was tested in the Chenzhou City real-world 3D construction project. The results show that using this technical solution for the physical entity transformation of existing data stock can effectively improve production efficiency and reduce rework rates, providing efficient data support for the subsequent wide-ranging promotion and application of real-world 3D models.