煤田地质与勘探2019，Vol.47Issue(1)：6-14,9.DOI:10.3969/j.issn.1001-1986.2019.01.002
铀矿大数据综合管理信息平台设计与实现
Design and implementation of information management platform for big data of uranium
摘要
Abstract
In order to integrate the borehole data and geological survey data of sandstone-type uranium deposits, the unified management of the borehole database was implemented, and the efficiency of integrated application of the geological data of borehole data was improved. A comprehensive information management platform for uranium was designed and implemented. For big data platform, the four-layer framework composed of the base installation, information resources, application service, user interaction was proposed. Techniques such as virtualization of cloud computing, distributive storage and parallel computing were adopted to set up the basic environment of the big data of uranium and improve the unified storage management and the computing power of the big data set of uranium boreholes. The goal for intelligent extraction, highly efficient conversion and fast loading of multi-source heterogeneous borehole data was realized. The working efficiency of data management and integrated application was enhanced. Based on the parallel computing technique, the functions of fast 3-D visualized expression and fast inquiry of multiple conditions was realized, providing technical support of data basis and information for uranium exploration and result integration.关键词
大数据技术/信息管理平台/数据挖掘/成矿预测Key words
big data technology/information management platform/data mining/metallogenic prediction分类
天文与地球科学引用本文复制引用
周小希,邓凡,万林,杨君..铀矿大数据综合管理信息平台设计与实现[J].煤田地质与勘探,2019,47(1):6-14,9.基金项目
国家重点基础研究发展计划(973计划)项目(2015CB453000) （973计划）
中国地质调查局地质调查项目(DD20160127,DD20160128) （DD20160127,DD20160128）
