基于地理知识图谱的道路三维模型语义构建OA
Semantic construction of 3D road models based on geographic knowledge graphs
为增强道路三维模型数据与既有地理信息数据、行业专题数据的有效衔接与管理,提升三维模型使用效率,充分发挥数据价值,本文开展道路三维模型数据组织及交通部件级实景三维成果语义信息构建方法的研究.本文以道路知识图谱构建为核心框架,结合线性参考下的里程信息转换、二三维匹配技术,采用基于规则的方式实现道路三维模型语义补全,最终形成完整、规范的道路三维模型数据组织形式及语义信息构建方法.该方法在江苏省普通国省道数字化建设中得到有效应用.道路三维模型数据组织的规范性和相关语义成果的完备性,对提升道路三维模型数据管理和使用效率发挥重要作用,本文的研究成果可为行业数字化升级提供支撑.
To enhance the effective connection and management of three-dimensional(3D)road model data with existing geographic information data and industry thematic data,improve the utilization efficiency of 3D models,and fully utilize data value,this paper conducted research on the data organization of 3D road models and the semantic information construc-tion method for traffic component-level 3D reality results.Taking the construction of a road knowledge graph as the core framework and combining mileage information conversion under linear referencing and two-dimensional and 3D matching technologies,this paper adopted a rule-based method to achieve the semantic completion of 3D road models,finally forming a complete and standardized data organization form and a semantic information construction method for 3D road models.This method has been effectively applied in the digital construction of ordinary national and provincial highways in Jiangsu Province.The standardization of the data organization of 3D road models and the completeness of relevant semantic results play an important role in improving the management and utilization efficiency of 3D road model data,and the research results of this paper can provide support for the digital upgrading of the industry.
李娇娇;朱映;石珍
江苏省基础地理信息中心,江苏 南京 210013江苏省基础地理信息中心,江苏 南京 210013江苏省基础地理信息中心,江苏 南京 210013
天文与地球科学
道路三维数据组织语义构建数据匹配
three-dimensional(3D)roaddata organizationsemantic constructiondata matching
《北京测绘》 2026 (6)
781-786,6
江苏省自然资源厅科研课题(2024024)江苏省自然资源科技创新项目(JSZRKJ202405).
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