Fundamental problems of integrated application of big data in geoscience

Wu Chonglong; Liu Gang; Zhou Qi; Zhang Xialin; Xu Kai

doi:10.19509/j.cnki.dzkq.2020.0401

Volume 39 Issue 4

Jul. 2020

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Wu Chonglong, Liu Gang, Zhou Qi, Zhang Xialin, Xu Kai. Fundamental problems of integrated application of big data in geoscience[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 1-11. doi: 10.19509/j.cnki.dzkq.2020.0401

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Wu Chonglong, Liu Gang, Zhou Qi, Zhang Xialin, Xu Kai. Fundamental problems of integrated application of big data in geoscience[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 1-11. doi: 10.19509/j.cnki.dzkq.2020.0401

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Fundamental problems of integrated application of big data in geoscience

doi: 10.19509/j.cnki.dzkq.2020.0401

Wu Chonglong^{1a, 1b, 1c, 2
,},
Liu Gang^{1a, 1b, 1c, 2},
Zhou Qi²,
Zhang Xialin^{1a, 1b, 1c, 2},
Xu Kai^{1a, 1b}

Received Date: 18 Nov 2019

Abstract

Abstract

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.
- geological big data,
- big data management,
- big data carrier,
- big data visualization,
- glass earth,
- data mining,
- big data service mode

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References(41)

References

[1]	赵鹏大.大数据时代呼唤各科学领域的数据科学[J].中国科技奖励, 2014, 183:29-30. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgkjjl201409007
[2]	郭华东, 王力哲, 陈方, 等.科学大数据与数字地球[J].科学通报, 2014, 59(12):1047-1054. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201412001
[3]	吴冲龙, 刘刚, 张夏林, 等.地质科学大数据及其利用的若干问题探讨[J].科学通报, 2016, 61(16):1797-1807. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201616010
[4]	Mayer-Svhönberger V, CuKier K.Big data:A revolution that will transform how we live, work and think[M].New York:Houghton Mifflin Harcourt Publishing Company, 2013.
[5]	张夏林, 吴冲龙, 翁正平, 等.数字矿山软件(QuantyMine)若干关键技术的研发和应用[J].地球科学:中国地质大学学报, 2010, 35(2):302-310. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqkx201002015
[6]	陈根深, 刘军旗, 何忆, 等.基于World Wind移动端的地质数据野外采集系统[J].计算机系统应用, 2019, 28(4):96-104. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjxtyy201904015
[7]	李艳梅.基于Android平台的电子测绘的关键技术研究[D].武汉: 湖北大学, 2016.
[8]	吴冲龙, 翁正平, 刘刚.论中国"玻璃国土"建设[J].地质科技情报, 2012, 31(6):3-8. http://www.cqvip.com/QK/93477A/20126/44012100.html
[9]	Wikipedia Foundation.Inc.Data lake.https://en.wikipedia.org/wiki/Data_lake.(2019-11-18).
[10]	郭文惠.数据湖:一种更好的大数据存储架构[J].电脑知识与技术, 2016, 10(12):4-6. http://qikan.cqvip.com/Qikan/Article/Detail?id=68789083504849545148484851
[11]	Coral W.Personal data lake with data gravity pull[C]//Li K Q, Qi H, Gaudiot J L, et al.5th IEEE international conference on big data and cloud.New York: IEEE, 2015.
[12]	张达刚, 陈海宁, 陈华, 等.环境评估大数据管理平台初探及技术综述[J].计算机系统应用, 2019, 28(4):205-211. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjxtyy201904032
[13]	刘刚, 吴冲龙, 何珍文, 等.地上下一体化的三维空间数据库模型设计与应用[J].地球科学:中国地质大学学报, 2011, 36(2):367-374. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqkx201102022
[14]	He Z W, Kraak M-J, Huisman O, et al.Parallel indexing technique for spatio-temporal data[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 78:116-128. doi: 10.1016/j.isprsjprs.2013.01.014
[15]	郑祖芳.分布式并行时空索引技术研究[D].武汉: 中国地质大学(武汉), 2014.
[16]	龚健雅, 李小龙, 吴华意.实时GIS时空数据模型[J].测绘学报, 2014, 43:226-232. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201403002
[17]	刘刚, 吴冲龙, 何珍文, 等.面向地质时空大数据表达与存储管理的数据模型研究[J].地质科技通报, 2020, 39(1):164-174. http://dzkjqb.cug.edu.cn/CN/abstract/abstract9937.shtml
[18]	田善君.面向地质大数据存储管理的时空数据模型研究[D].武汉: 中国地质大学(武汉), 2016.
[19]	吴冲龙, 何珍文, 翁正平, 等.地质数据三维可视化属性、分类和关键技术[J].地质通报, 2011, 30(5):642-649. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgqydz201105003
[20]	Carr G R, Andrew A S, Denton G J, et al.The "Glass Earth":Geochemical frontiers in exploration through cover[J].Australian Institute of Geoscientists Bulletin, 1999, 28:33-40. http://www.smedg.org.au/Sym99glass.htm
[21]	陈国旭, 田宜平, 张夏林, 等.基于勘探剖面的三维地质模型快速构建及不确定性分析[J].地质科技情报, 2019, 38(2):275-280. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201902033
[22]	张文彪, 段太忠, 刘彦锋, 等.定量地质建模技术应用现状与发展趋势[J].地质科技情报, 2019, 38(3):1-9. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201903029
[23]	Cherry D, Gill B, Pack T, et al.Geoscience Australia and geoScience Victoria: 3-D geological modeling developments in Australia[C]//Berg R C, Mathers S J, Kessler H, et al.Synopsis of current three dimensional geological mapping and modeling in geological survey organizations.Illinois State Geological Survey Circular 578, 2011: 19-24.
[24]	Stafleu J, Busschers F S, Maljers D, et al.TNO-geological survey of the Netherlands: 3-D geological modeling of the upper 500 to 1, 000 meters of the Dutch Subsurface[C]//Berg R C, Mathers S J, Kessler H, et al.Synopsis of current three dimensional geological mapping and modeling in geological survey organizations.Illinois: Illinois State Geological Survey Circular 578, 2011: 64-68.
[25]	Russell H A J, Boisvert E, Logan C, et al.Geological survey of Canada: Three-dimensional geological mapping for groundwater applications[C]//Berg R C, Mathers S J, Kessler H, et al.Synopsis of current three dimensional geological mapping and modeling in geological survey organizations.Illinois: Illinois State Geological Survey Circular 578, 2011: 31-41.
[26]	吴冲龙, 刘刚."玻璃地球"建设的现状、问题、趋势与对策[J].地质通报, 2015, 34(7):1281-1287. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgqydz201507005
[27]	田宜平, 毛小平, 张志庭, 等."玻璃油田"建设与油气勘探开发信息化[J].地质科技情报, 2012, 31(6):16-22. http://www.cqvip.com/QK/93477A/20126/44012102.html
[28]	翁正平, 何珍文, 毛小平, 等.三维可视化动态地质建模系统研发与应用[J].地质科技情报, 2012, 31(6):50-66. http://www.cnki.com.cn/Article/CJFDTotal-DZKQ201206011.htm
[29]	吴冲龙, 刘刚, 田宜平, 等.论地质信息科学[J].地质科技情报, 2005, 24(3):1-8. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb200503001
[30]	吴冲龙, 刘刚, 王力哲, 等.基于大数据的城市地质环境智能监管思路与方法[J].地质科技通报, 2020, 39(1):157-163. http://dzkjqb.cug.edu.cn/CN/abstract/abstract9936.shtml
[31]	Han J, Kamber M, Pei J.Data mining: Concepts and techniques[M].3rd edition.Burlington: Morgan Kaufmann, 2012.
[32]	Fayyad U M.Advances in knowledge discovery and data mining[M].Menlopark CA:AAAI/MIT Press, 1996.
[33]	李德仁, 王树良, 李德毅.空间数据挖掘理论与应用[M].第2版.北京:科学出版社, 2013.
[34]	吴冲龙, 刘刚.大数据与地质学的未来发展[J].地质通报, 2019, 38(7):1081-1088. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgqydz201907001
[35]	周琦, 杜远生, 覃英.古天然气渗漏沉积型锰矿床成矿系统与成矿模式:以黔湘渝毗邻区南华纪"大塘坡式"锰矿为例[J].矿床地质, 2013, 32(3):457-466. http://www.cnki.com.cn/Article/CJFDTotal-KCDZ201303001.htm
[36]	周琦, 杜远生, 袁良军, 等.古天然气渗漏沉积型锰矿床找矿模型:以黔湘渝毗邻区南华纪"大塘坡式"锰矿为例[J].地质学报, 2017, 91(10):2285-2298.
[37]	Gray J, Szalay A.E Science: A transformed scientific method, presentation to the computer science and technology board of the national research council, Mountain View, CA, 11 January 2007[EB/OL].
[38]	陈建平, 李婧, 崔宁, 等.大数据背景下地质云的构建与应用[J].地质通报, 2015, 34(7):1260-1265. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgqydz201507002
[39]	彭诗杰.基于微服务体系结构和面向多地质主题的数据云服务关键技术研究[D].武汉: 中国地质大学(武汉), 2017.
[40]	Balalaie A, Heydarnoori A, Jamshidi P.Microservices architecture enables DevOps:Migration to a cloud-native architecture[J].IEEE Software, 2016, 33(3):42-52. doi: 10.1109/MS.2016.64
[41]	Bohn R B, Messina J, Liu F, et al.NISTcloud computing reference architecture[C]//Anon.IEEE world congress on services.New York: IEEE Computer Society, 2011: 594-596.

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