摘要
进行地质科学大数据统合利用,涉及一系列理论、方法和技术问题,包括:多源多类异质异构地质数据的采集、存储和管理问题;数据汇聚、集成和结构化、可视化转换问题;数据同化、融合问题和深度挖掘、广度聚联问题;地质大数据有效利用的方式、方法和途径问题,以及云服务的模式和系统架构问题。所面对的挑战是实现结构化-半结构化-非结构化数据、静态勘查数据与动态监测数据的一体化存储、管理、处理和应用,以及大数据与小数据、混杂性数据与精确性数据、模型与数据、有模型与无模型、关联关系和因果关系的矛盾与统一问题。
The polymerization and utilization of geological science big data involves a series of theoretical,methodological and technical problems:multi-source,multi-class,heterogeneous and isomerism geological data collection,storage and management;data converge,integration and structuring,visualization conversion;data assimilation,fusion and depth mining,breadth-gathering and associated.Problems are also found in the pattern,method and way of effective utilization of geological big data,as well as the mode and system architecture of cloud service.The challenge is to realize the integrated storage,management,processing and application of structured,semi-structured and unstructured data,static survey data and dynamic monitoring data,as well as the contradiction and unity between big data and small data,mixed data and accuracy data,model and no model,correlation and causality.
作者
吴冲龙
刘刚
周琦
张夏林
徐凯
Wu Chonglong;Liu Gang;Zhou Qi;Zhang Xialin;Xu Kai(School of Computer Science,China University of Geosciences(Wuhan),Wuhan 430078,China;Hubei Key Laboratory of Intelligent Geo-Information Processing,China University of Geosciences(Wuhan),Wuhan 430078,China;Intelligent Geological Resources and Environment Technology Hubei Engineering Research Center,China University of Geosciences(Wuhan),Wuhan 430078,China;Technology Innovation Center of Mineral Resources Explorations in Bedrock Zones,Ministry of Natural Resources,Guiyang 550081,China)
出处
《地质科技通报》
CAS
CSCD
北大核心
2020年第4期1-11,共11页
Bulletin of Geological Science and Technology
基金
国家自然科学基金项目(U1711267,41942039)
贵州省科技计划(黔科合支撑[2017]2951,黔科合支撑[2019]2868,黔科合支撑[2020]4Y039号,黔科合平台[2018]5618)
贵州省地质勘查基金项目(2019-02号)
贵州省地矿局科研项目(黔地矿科合[2017]2,黔地矿科合[2018]07)。
