朱庆, 李函侃, 曾浩炜, 刘铭崴, 丁雨淋, 任晓春, 王玮, 张利国, 罗勋, 朱军. 面向数字孪生川藏铁路的实体要素分类与编码研究[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1319-1327. DOI: 10.13203/j.whugis20200010
引用本文: 朱庆, 李函侃, 曾浩炜, 刘铭崴, 丁雨淋, 任晓春, 王玮, 张利国, 罗勋, 朱军. 面向数字孪生川藏铁路的实体要素分类与编码研究[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1319-1327. DOI: 10.13203/j.whugis20200010
ZHU Qing, LI Hankan, ZENG Haowei, LIU Mingwei, DING Yulin, REN Xiaochun, WANG Wei, ZHANG Liguo, LUO Xun, ZHU Jun. Classification and Coding of Entity Features for Digital Twin Sichuan-Tibet Railway[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1319-1327. DOI: 10.13203/j.whugis20200010
Citation: ZHU Qing, LI Hankan, ZENG Haowei, LIU Mingwei, DING Yulin, REN Xiaochun, WANG Wei, ZHANG Liguo, LUO Xun, ZHU Jun. Classification and Coding of Entity Features for Digital Twin Sichuan-Tibet Railway[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1319-1327. DOI: 10.13203/j.whugis20200010

面向数字孪生川藏铁路的实体要素分类与编码研究

Classification and Coding of Entity Features for Digital Twin Sichuan-Tibet Railway

  • 摘要: 川藏铁路广域范围内实体要素粒度差异大、语义繁杂,多学科多专业空间信息数据多源异构,时空基准与数据格式不统一,难以高效集成管理与融合分析。为构建川藏铁路时空信息统一表达的认知共享概念体系,提出地理、地质、设施、气象、生态、灾害、人员7大实体要素类型,并对其几何、尺度、拓扑、属性、行为特征及相互作用关系等进行刻画,将要素类型进行实体化分类,制定了川藏铁路实体要素的统一编码规则以及扩充方法,对高位分类(门类、亚门类、大类和中类)以及低位分类(一、二、三级小类)进行扩充与删减,形成共包含2个门类、6个亚门类、27个大类和87个中类的高维分类体系。在此基础上,建立川藏铁路实体要素分类体系,并对每一个实体要素进行编码,赋予其唯一的、无歧义的身份标识,实现川藏铁路多维动态时空信息与实体要素之间的精准映射,为数字孪生川藏铁路建设奠定坚实基础。

     

    Abstract: The heterogeneous multidisciplinary spatial information data with multi-granularity and sophisticated semantics of features in the wide area of Sichuan-Tibet railway, which leads to the inconsistency of data content/format and spatio-temporal datum.Therefore, it is difficult to integrate/analyse relevant data efficiently. In order to establish the concept system of cognitive sharing for the unified expression of spatial information of Sichuan-Tibet railway, firstly, this article has studied and depicted the geometry, scale, topology, attribute, behavior characteristics and interactive relationship of different feature types such as "geography""geology""facilities""meteorology""ecology""disaster" and "personnel"; secondly, according to the framework of relevant national standard classification and coding system, the study has regulated the unified coding rules and expanding methods, conducted substantialization classification upon various feature types into the minimum management unit. Based on the rules, the classification in higher level (primary category, subcategory, large class and medium class) and the classification in lower level (level Ⅰ, Ⅱ and Ⅲ subclasses) was expanded and reduced according to the application requirements of Sichuan-Tibet railway respectively, leaving 2 primary categories, 6 subcategories, 27 large classes and 87 medium classes in total. On this basis, each feature entity in the classification system was coded and given a unique and unambiguous identity, so as to implement the precise mapping between three-dimensional spatial information and feature entities and provide support for the construction of Sichuan-Tibet railway.

     

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