测绘通报 ›› 2025, Vol. 0 ›› Issue (1): 127-132.doi: 10.13474/j.cnki.11-2246.2025.0121

• 技术交流 • 上一篇    下一篇

一种基于多源异构空间规划数据的融合方法

潘俊钳1,2, 阮浩德1,2, 徐可3, 李楚淮1   

  1. 1. 广东省城乡规划设计研究院科技集团股份有限公司, 广东 广州 510290;
    2. 广东省智慧安全城市规划与监测重点实验室, 广东 广州 510290;
    3. 江苏天地图地理信息工程技术有限责任公司, 江苏 南京 210000
  • 收稿日期:2024-03-26 发布日期:2025-02-09
  • 通讯作者: 阮浩德。E-mail:276959517@qq.com
  • 作者简介:潘俊钳(1987—),男,硕士,高级工程师,主要研究方向为地理信息、数据治理及自然资源信息化。E-mail:358243009@qq.com
  • 基金资助:
    广东省智慧安全城市规划与监测重点实验室项目(2022B1212020010)

A fusion method based on multi-source heterogeneous spatial planning data

PAN Junqian1,2, RUAN Haode1,2, XU Ke3, LI Chuhuai1   

  1. 1. Guangdong Urban-rural Planning and Design Research Institute Technology Group Co.,Ltd., Guangzhou 510290, China;
    2. Guangdong Provincial Key Laboratory of Smart and Safety City Planning and Monitoring, Guangzhou 510290, China;
    3. Jiangsu Tianditu Geography Information Engineering Technology Co.,Ltd., Nanjing 210000, China
  • Received:2024-03-26 Published:2025-02-09

摘要: 国土空间规划是引导国家空间发展的科学指南,统筹各类空间性规划。在设计和实施国土空间规划的过程中需要对收集到的大量多源异构数据处理后投入使用。本文针对不同来源的国土空间规划数据在格式、坐标参考、属性结构等方面存在差异的问题,基于大数据、GIS、人工智能等技术及多种自研算法,提出了一种多源异构国土空间规划数据的融合方法,包括数据清洗、数据转换、地名地址匹配挂接和批处理4个步骤,将使用的技术和方法集成到“一键化”工具中,实现对多源异构空间规划数据的批量融合操作。本文设计的多源异构空间规划数据的融合方法能够对不同数据来源、不同存储格式、不同时空、不同尺度和不同坐标系下的数据实现无损的数据共享和批量化、自动化的处理,进而提高对国土空间规划数据的利用效率和管理水平。

关键词: 国土空间规划, 多源数据融合, 地址匹配

Abstract: Territorial spatial planning is a scientific guide to guide the national space development, coordinating all kinds of spatial planning. In the process of design and implementation of territorial spatial planning, it is necessary to use a large number of collected multi-source heterogeneous data after processing. This study aims at the differences of spatial planning data from different sources in format, coordinate reference, attribute structure and so on. Based on the technology of big data, GIS, artificial intelligence and various self-research algorithms, a method of spatial planning data fusion is proposed in this study, which consists of four steps: data cleaning, data conversion, place name and address matching connection and batch processing. The techniques and methods used are integrated into a“One-click” tool to realize batch fusion of multi-source heterogeneous spatial planning data. The fusion method of multi-source and heterogeneous spatial planning data designed in this study can share the data of different data sources, different storage formats, different space-time, different scales and different coordinate systems without loss, and process the data in batch and automatically, so as to improve the utilization efficiency and management level of territorial spatial planning data.

Key words: territorial spatial planning, multi-source data fusion, address matching

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