测绘通报 ›› 2020, Vol. 0 ›› Issue (12): 128-131,163.doi: 10.13474/j.cnki.11-2246.2020.0407

• 技术交流 • 上一篇    下一篇

地质大数据支持下的智慧地矿业务支撑平台构建

于广婷1, 曹发伟1, 刘同文1, 胡自远2, 许传新1, 薛立明1, 何祖臣1   

  1. 1. 山东省地质测绘院, 山东 济南 250002;
    2. 山东省第七地质矿产勘查院, 山东 临沂 276006
  • 收稿日期:2020-09-16 出版日期:2020-12-25 发布日期:2021-01-06
  • 通讯作者: 刘同文。E-mail:wenglish1985@126.com E-mail:wenglish1985@126.com
  • 作者简介:于广婷(1974-),女,研究员,主要从事3S技术研究及应用。E-mail:497004861@qq.com

Construction of intelligent geological and mineral business support platform based on big geological data

YU Guangting1, CAO Fawei1, LIU Tongwen1, HU Ziyuan2, XU Chuanxin1, XUE Liming1, HE Zuchen1   

  1. 1. Geological Surveying and Mapping Institute of Shandong Province, Jinan 250002, China;
    2. The 7th Institute of Geology and Mineral Exploration of Shandong Province, Linyi 276006, China
  • Received:2020-09-16 Online:2020-12-25 Published:2021-01-06

摘要: 为探索“互联网+地质工作”新模式,更好地服务于生态文明建设,地矿部门积极推进智慧地矿工程建设。地质大数据已在城市地质、海洋地质、农业地质、生态环境地质等领域得到广泛应用。因此,为了地矿业务系统的开发、全业务网上运行和监管提供统一的基础技术平台和运行环境,实现各部门之间的业务协作与地矿信息共享,亟须构建基于地质大数据的智慧地矿业务系统应用支撑平台。本文详细阐述了该平台的构建。

关键词: 智慧地矿, 支撑平台, 云GIS, 三维地质, 大数据

Abstract: In order to explore new models of “Internet + geological work” and better serve the construction of ecological civilization, the geological and mining departments actively promote the construction of wisdom geological and mining engineering. Geological big data has been widely used in the city geology, marine geology, agricultural geology, eco-environment geology and other fields. Therefore, it is urgent to built an application support platform based on the wisdom of the large geological data mining business system, for the development of geological mining business system, the whole business online operation and regulation provides the basis of unified technology platform and operating environment, realization of business collaboration between departments and geoscientific information sharing. This paper describes the construction of the platform in details.

Key words: intelligent mineral, supporting platform, cloud GIS, 3D geological, big data

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