The electronic navigational charts are crucial carriers for representing the multi-source heterogeneous data of Waterborne Traffic Elements (WTEs). However, their layer-based modelling method has some shortcomings in expressing the multi-granularity features, complex relationships, and dynamic evolution of elements. This paper proposes an objectification modelling method for WTEs based on the concept of multi-granularity spatiotemporal object modelling. A classification system for waterborne traffic objects is developed based on the relevance of behavior to elements; combining characteristics of waterborne traffic, a data model for waterborne traffic objects is constructed from eight aspects: spatiotemporal reference, spatiotemporal position, spatial form, basic information, attributes, behavioral ability, structure, and associative relationships. An object extraction function is also established, extracting object attributes and relationships between objects according to different element classes. Taking the Jiashan section of the Hangzhou-Shanghai Line in Zhejiang Province as the experimental subject, the multi-granularity spatiotemporal characteristics, dynamic evolution, and relationship expression of channel class objects are tested. The experimental results show that the proposed method provides the theoretical basis and data organization mode for the multi-granularity expression of WTEs.

中文翻译：

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水上交通元素的多粒度时空对象建模


电子海图是表示水上交通要素 （WTE） 多源异构数据的重要载体。然而，他们基于层的建模方法在表达元素的多粒度特征、复杂关系和动态演变方面存在一些缺点。本文基于多粒度时空对象建模的概念，提出了一种 WTE 对象化建模方法。水上交通物体的分类系统是根据行为与元素的相关性开发的;结合水上交通的特点，从时空参照、时空位置、空间形态、基本信息、属性、行为能力、结构、关联关系 8 个方面构建水上交通对象数据模型。还建立了对象提取功能，根据不同的元素类别提取对象属性和对象之间的关系。以浙江杭沪线嘉善段为实验对象，测试了通道类对象的多粒度时空特征、动态演化和关系表达。实验结果表明，所提方法为 WTEs 的多粒度表达提供了理论基础和数据组织模式。