测绘通报 ›› 2023, Vol. 0 ›› Issue (7): 160-164.doi: 10.13474/j.cnki.11-2246.2023.0218

• 技术交流 • 上一篇    下一篇

基于知识-规则的省级基础地理实体多源数据融合转换方法

叶芬, 胡燕, 杨琪琳, 胡晓丹   

  1. 湖南省第一测绘院, 湖南 长沙 410114
  • 收稿日期:2022-09-29 出版日期:2023-07-25 发布日期:2023-08-08
  • 通讯作者: 胡燕。E-mail:904517358@qq.com
  • 作者简介:叶芬(1984-),女,高级工程师,研究方向为新型基础测绘、地理信息系统等。E-mail:409935117@qq.com
  • 基金资助:
    湖南省自然资源厅科研项目(2021-12)

Multi-source data fusion and transformation method of provincial fundamental geo-entities based on knowledge-rule

YE Fen, HU Yan, YANG Qilin, HU Xiaodan   

  1. The First Surveying and Mapping Institute of Hunan Province, Changsha 410114, China
  • Received:2022-09-29 Online:2023-07-25 Published:2023-08-08

摘要: 湖南省新型基础测绘体系建设正在稳步推进,其中省级基础地理实体改造与建库是重要任务之一。本文在遵循自然资源部相关技术标准的前提下,建立了一套适用于湖南省的地理实体分级分类标准规范,融合1∶1万基础地理信息和第三次全国国土调查年度变更等多源数据,以地理实体编码为统一标识符,提出了基于知识-规则的省级地理实体多源数据融合转换方法。该方法充分利用了已有的存量数据,实现了省级基础地理实体数据的标准化改造,避免了重复生产的资源浪费,极大地提高了基础地理实体生产的效率,有利于基础地理实体在行业中的推广和应用。

关键词: 1∶1万基础地理信息, 多源数据, 地理实体, 融合转换, 知识-规则

Abstract: While Hunan's new fundamental surveying and mapping system is progressing steadily, the transformation and database construction of fundamental geo-entities on the provincial level is one of the important tasks. Under the premise of following the relevant technical standards of the Ministry of Natural Resources, a set of standards and specifications for the classification of fundamental geo-entities applicable to Hunan province has been established. By integrating the 1∶10 000 fundamental geographical information and the annual changes of the third national land resource survey and other multi-source data, taking the geo-entity codes as the unified identifier, the research proposes a knowledge-rule based multi-source data fusion and transformation method for provincial geo-entities after making full use of the existing stock data, and realizing the standardization transformation of provincial fundamental geo-entity data, so as to avoid the waste of resources in repeated production, and greatly improve the production efficiency of fundamental geo-entities. Therefore, it is conducive to the promotion and application of fundamental geo-entities in the industry.

Key words: 1∶10 000 fundamental geographic information, multi-source data, geo-entity, fusion and transformation, knowledge-rule

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