摘要
大数据技术的应用对提高地质矿产勘查质量具有重要的积极作用,通过开展大数据在地质矿产中的应用探究,利用大数据分类技术将地质矿产数据分为地质矿石数据、地质化学数据、地质三维数据、地质影像数据以及地质图像数据五种类别,并以表格的形式存储到大数据分布式数据库中;最后,在地质矿产数据分析方法方面,利用大数据三维模型及可视化技术,通过调取数据库中的地质矿产数据,建立地质矿产三维可视化模型,根据模型清除地了解到地质矿产实际情况,以此完成大数据在地质矿产中的应用探究。
The application of big data technology plays an important and active role in improving the quality of geological and mineral exploration.Through the application of big data in geological and mineral exploration,big data classification technology is used to divide geological and mineral data into geological ore data,geochemical data,and geological threedimensional data.Five categories of data,geological image data and geological image data are stored in the big data distributed database in the form of tables;finally,in terms of geological and mineral data analysis methods,big data three-dimensional models and visualization technologies are used to retrieve the database In order to complete the application of big data in geological and mineral resources,a three-dimensional visualization model of geological and mineral resources is established,and the actual situation of geological and mineral resources can be learned according to the model cleared area.
作者
汪涛
WANG Tao(Hydrogeology Engineering Geological Survey Institute of Gansu Bureau of Geology and Mineral Exploration and Development,Zhangye 734000,China)
出处
《世界有色金属》
2020年第17期223-224,共2页
World Nonferrous Metals
关键词
大数据
地质矿产
Python操作功能
big data
geology and mineral resources
Python operation function