测绘通报 ›› 2022, Vol. 0 ›› Issue (9): 145-151.doi: 10.13474/j.cnki.11-2246.2022.0280

• 技术交流 • 上一篇    下一篇

一种面向海量基础地理信息数据更新的多人协同作业方法

李忠, 任东宇, 周启, 刘晖, 张怀相   

  1. 自然资源部第三地理信息制图院, 四川 成都 610100
  • 收稿日期:2021-10-29 发布日期:2022-09-30
  • 作者简介:李忠(1985—),男,硕士,工程师,研究方向为地图制图和国土信息应用。E-mail:mail2lizhong@126.com
  • 基金资助:
    自然资源技术融合研究与应用示范项目(121204007000204101)

A multi-person collaborative operation method for massive basic geographic information data update

LI Zhong, REN Dongyu, ZHOU Qi, LIU Hui, ZHANG Huaixiang   

  1. The Third Geographical Information Mapping Institute of Natural Resources Ministry, Chengdu 610100, China
  • Received:2021-10-29 Published:2022-09-30

摘要: 为解决传统面向海量基础地理信息数据多人协同更新技术方案中存在的问题,满足实际生产中对作业效率、过程数据管理等要求,本文提出了一种多人离线协同作业方法。该方法以扩展的时空数据库模型为基础,通过更新过程中多时态数据的集中存储管理,要素的离线编辑及协同状态维护,协同冲突检测与处理,本地编辑内容提交等工艺方法,实现了多人离线协同更新作业。基于该方法研发了协同作业系统,该系统已在多个省级及以上数据库更新项目中得到了应用,应用效果良好。

关键词: 协同作业, 时空数据库模型, 基础地理信息数据更新, 增量提取

Abstract: In order to solve the problems in the traditional multi-person collaborative update technical solution for massive basic geographic information data, and meet the requirements of operation efficiency and process data management in actual production, this paper proposes a multi-person offline collaborative operation method, which is extended based on the spatio-temporal database model, through the centralized storage and management of multi-temporal data during the update process, offline feature editing and collaborative state maintenance, collaborative conflict detection and processing, and local editing content submission, etc.,multi-person offline collaborative update operations are realized. A collaborative production operating system has been developed based on this method, which has been applied in a number of provincial and above database update projects with good application effects.

Key words: collaborative operation, spatio-temporal database model, basic geographic information data update, incremental extraction

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