铀矿大数据综合管理信息平台设计与实现

为了对砂岩型铀矿钻孔数据及地质资料进行汇集整理，建设铀矿地质钻孔及勘查信息数据库，实现对钻孔资料的统一管理，提高钻孔地质资料集成应用的工作效率，面向实际应用需求，设计并实现了铀矿综合管理信息平台。提出了铀矿大数据平台基础设施、信息资源、应用服务、用户交互的4层架构，采用云计算虚拟化、分布式储存、并行计算等技术建立了铀矿大数据基础环境，提升了铀矿钻孔大数据集的统一存储管理和计算能力；实现了多源异构钻孔数据智能化抽取、高效率转换及快速装载的目标，提高了数据管理及集成应用的工作效率；基于并行计算技术，实现了钻孔数据进行快速三维可视化表达及多条件快速查询功能，为铀矿勘查、成果集成提供了数据基础和信息技术支撑。 

Design and implementation of information management platform for big data of uranium

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 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. 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