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Bulletin of Geological Science and Technology. 2021, (06) Core

Discussion of geological hazard data management and application model in big data eraChinese Full TextEnglish Full Text (MT)

Liu Junqi;Liu Qiang;Liu Qianhui;Zhang Xialin;Lin Chen;Zhou Xin;Li Guoce;Three Gorges Research Center for Geo-hazard,Ministry of Education,China University of Geosciences(Wuhan);College of Engineering,Ocean University of China;Department of Information Management,Peking University;School of Computer Science,China University of Geosciences(Wuhan);Wuhan Ecological Environment Design and Research Institute Co.,Ltd.;

Abstract: Geological disaster data is a kind of multi-source heterogeneous data with multi-source, large quantity, multi-type, multi-format, multi-scale and multi-precision.It is a typical "big data".Relational database is the mainstream management method of geological disaster data at present.There are a large proportion of unstructured data in geological disaster data.Because it is difficult to manage unstructured data effectively by using relational model, the effect of this management method is not ideal.This weakness will be further amplified in the era of big data, and will have a certain impact on geological data mining and big data analysis.This paper focuses on the management mode of geological disaster data in the era of big data.Discusses the management of pan-structured geological data, application model and integration of distributed heterogeneous system.It is considered that the effective management of geological disaster data should combine file system, relational database and NoSQL,and a pan-structured geological data management and application mode based on the combination of double C model and middleware is proposed.The double C model has an implicit internal data access and management center and an explicit outer analysis and application center.Through the double C model, a variety of work can be integrated into a simple and orderly whole, such as geological data collection, management, statistics, calculation, retrieval, geological map compilation, three dimensional modeling, attribute analysis, spatial analysis and so on.
Keywords：

big data; pan-structured geological data; relational databases; NoSQL; double C model; middleware;

  • DOI：

    10.19509/j.cnki.dzkq.2021.0627

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (I) Electronic Technology ＆ Information Science

  • Subject：

    Geology; Computer Software and Application of Computer

  • Classification Code：

    TP311.13;P694

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