• 中文核心期刊
  • 中国科技核心期刊
  • 中国科学引文数据库核心期刊
YAN Guangsheng, XUE Qunwei, XIAO Keyan, CHEN Jianping, MIAO Jinli, YU Hailong. 2015: An analysis of major problems in geological survey big data. Geological Bulletin of China, 34(7): 1273-1279. DOI: 10.12097/gbc.20150704
Citation: YAN Guangsheng, XUE Qunwei, XIAO Keyan, CHEN Jianping, MIAO Jinli, YU Hailong. 2015: An analysis of major problems in geological survey big data. Geological Bulletin of China, 34(7): 1273-1279. DOI: 10.12097/gbc.20150704

An analysis of major problems in geological survey big data

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  • Geological survey big data include geological data produced by multi-source and multi-mode from geological survey as well as data from public service and management support. Under the technical condition of limited information, some geological problems based on data and computation have not yet been solved perfectly. The resolution of these problems and the sharing of data constitute basic objectives of the processing technique of geological survey big data. In the processing technique of geological survey big data, geological data acquisition unit, non-volatile memory, distributed computation and in-memory computing should be applied first, followed by deep discovering and visual analytics. The architecture and product line for the processing technique of geological survey big data will eventually ensure informationization service quality of geological survey.
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