测绘通报 ›› 2021, Vol. 0 ›› Issue (7): 131-134,139.doi: 10.13474/j.cnki.11-2246.2021.0223

• 技术交流 • 上一篇    下一篇

面向上海城市数字化转型的新型测绘

顾建祥1, 董震2, 郭王3   

  1. 1. 上海市测绘院, 上海 200063;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
    3. 上海华测导航技术股份有限公司, 上海 201702
  • 收稿日期:2021-01-25 修回日期:2021-05-22 出版日期:2021-07-25 发布日期:2021-08-04
  • 作者简介:顾建祥(1967-),男,教授级高级工程师,主要从事测绘地理信息生产与技术管理工作。E-mail:909945777@qq.com
  • 基金资助:
    国家自然科学基金(41531177);国家自然科学基金青年基金(41901403)

New surveying and mapping for the urban digital transformation of Shanghai

GU Jianxiang1, DONG Zhen2, GUO Wang3   

  1. 1. Shanghai Surveying & Mapping Institute, Shanghai 200063, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    3. Shanghai CHC Navigation Technology Company Ltd., Shanghai 201702, China
  • Received:2021-01-25 Revised:2021-05-22 Online:2021-07-25 Published:2021-08-04

摘要: 城市数字化转型、“科学化、精细化、智能化”的城市治理、“新基建”的落地和数字经济的发展都迫切需要空间地理数据向“全域、全息、全空间、多维、高频”推进,实现物理空间的数字孪生。本文结合上海市城市数字化转型对地理信息的新需求,从空天地数据获取手段、全息空间数据内涵、二三维一体的成果形式、泛在测绘更新方法和按需组装服务方式等方面提出了构建以基于地理实体的智能化全息测绘为核心的新型测绘体系,形成了城市数字化转型地理信息新服务的解决方案。

关键词: 数字化转型, 智能化全息测绘, 数字孪生, 地理空间数字底座, 地理实体

Abstract: Urban digital transformation, "scientific, refined, and intelligent" urban governance, the implementation of "new infrastructure" and the development of digital economy all urgently need spatial geographic data to advance to "full domain, holographic, full space, multidimensional, and high-frequency" and realize the digital twin of physical space. This article combines the new needs of geographic information in the urban digital transformation of Shanghai, proposes a new surveying and mapping system with intelligent pan-info surveying and mapping which based on geographical entities as the core from the aspects of multiplatform collection technology, holographic data content, 2D and 3D integrated form of results, update method and on-demand assembly of services, and forms a solution to new geographic information services for urban digital transformation.

Key words: digital transformation, intelligent pan-info surveying and mapping, digital twin, geospatial digital base, geo-entity

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