基于新型图属数据结构的地下空间设施普查数据处理方法  

Data processing method of underground space general investigation based on new graph and attribute data structure

作　　者：秦红艳[1] Qin Hongyan(Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China)

机构地区：[1]广州市城市规划勘测设计研究院,广州510060

出　　处：《工程勘察》2021年第11期54-57,66,共5页Geotechnical Investigation & Surveying

基　　金：广东省城市感知与监测预警企业重点实验室基金项目(2020B121202019)资助。

摘　　要：数据结构是地下空间设施图形和属性信息获取、处理与管理的关键。本文结合城市地下空间设施普查的数据流、数据特点,设计了一种分层分级的数据结构;基于该数据结构提出空间数据和属性数据获取、成果表达与编辑制作、数据检查与入库的方法;进一步通过地下空间实体编码实现图属数据的关联。此数据结构及数据加工方法既保持了各层级数据的独立性和易操作性,又不失数据间的关联性,为城市地下空间的信息管理提供了结构严谨、组织性强的基础数据。Data structure is the key role for getting, processing and managing graph and attribute information of underground space facilities. According to the data flow and data characteristics of urban underground space facilities in general investigation, a hierarchical data structure is designed. Based on this data structure, a method is proposed to complete the acquisition of spatial and attribute data, the expression and editing of general investigation results, the data checking and storage. And then the graph and attribute data are associated by the entity coding of underground space. Depending on the data structure and processing method, it not only keeps the independence and operability of hierarchical data, but also keeps the relevance of data. Thus, the basic data with rigorous structure and strong organization is provided for the information management of urban underground space.

关 键 词：地下空间设施普查 数据结构 数据加工 图属信息 普查成果表达 

分 类 号：P208[天文地球—地图制图学与地理信息工程]