Volume 40 Issue 6
Nov.  2021
Turn off MathJax
Article Contents
Liu Junqi, Liu Qiang, Liu Qianhui, Zhang Xialin, Lin Chen, Zhou Xin, Li Guoce. Discussion of geological hazard data management and application model in big data era[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 276-282, 292. doi: 10.19509/j.cnki.dzkq.2021.0627
Citation: Liu Junqi, Liu Qiang, Liu Qianhui, Zhang Xialin, Lin Chen, Zhou Xin, Li Guoce. Discussion of geological hazard data management and application model in big data era[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 276-282, 292. doi: 10.19509/j.cnki.dzkq.2021.0627

Discussion of geological hazard data management and application model in big data era

doi: 10.19509/j.cnki.dzkq.2021.0627
  • Received Date: 17 Sep 2020
  • 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.

     

  • loading
  • [1]
    吴润泽, 程温鸣, 刘军旗, 等. 三峡库区地质灾害防治信息系统及预警指挥系统数据管理模式探讨[J]. 中国地质灾害与防治学报, 2018, 29(5): 102-107. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDH201805017.htm

    Wu R Z, Chen W M, Liu J Q, et al. Discussion on the data management mode of geologic disaster prevention and control information system and early warning command system in the Three Gorges Reservoir Area[J]. The Chinese Journal of Geological Hazard and Control, 2018, 29(5): 102-107(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDH201805017.htm
    [2]
    Viktor M-S, Kenneth C. Big data: A revolution that will transform how we live, work, and think[M]. Eamon Dolan: Houghton Mifflin Harcourt, 2013.
    [3]
    Li D R. Towards geo-spatial information science in big data Era[J]. Acta Geodetica et Cartographica Sinica, 2016, 45(4): 379-384. http://en.cnki.com.cn/Article_en/CJFDTOTAL-CHXB201604002.htm
    [4]
    He F H, Gu L J, Wang T, et al. The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: A case study in Longkou, China[J]. Journal of Cleaner Production, 2017, 142(2): 854-866.
    [5]
    刘军旗, 黄长青, 吴冲龙, 等. 工程地质信息处理技术与方法概论[M]. 武汉: 中国地质大学出版社, 2015.

    Liu J Q, Huang C Q, Wu C L, et al. Introduction to engineering geology information processing technology and method[M]. Wuhan: China University of Geosciences Press, 2015(in Chinese).
    [6]
    Baars H, Kemper H G. Management support with structured and unstructured data: An integrated business intelligence framework[J]. Information Systems Management, 2008, 25(2): 132-148. doi: 10.1080/10580530801941058
    [7]
    陈金水, 王崟. 非结构化数据存储管理的实用化方法[J]. 计算机与现代化, 2006(8): 25-28. doi: 10.3969/j.issn.1006-2475.2006.08.008

    Chen J S, Wang Y. A method for unstructured data storage management[J]. Computer and Modernization, 2006(8): 25-28(in Chinese with English abstract). doi: 10.3969/j.issn.1006-2475.2006.08.008
    [8]
    Carver T, Berriman M, Tivey A, et al. Artemis and ACT: Viewing, annotating and comparing sequences stored in a relational database[J]. Bioinformatics, 2008, 24(23): 2672-2676. doi: 10.1093/bioinformatics/btn529
    [9]
    Sacco G M, Nigrelli G, Bosio A, et al. Dynamic taxonomies applied to a web- based relational database for geo-hydrological risk mitigation[J]. Computers & Geosciences, 2012, 39: 182-187. http://www.onacademic.com/detail/journal_1000035031235010_465a.html
    [10]
    Chang F, Dean J, Ghemawat S, et al. Big table: A distributed storage system for structured data[J]. Acm Transactions on Computer Systems, 2008, 26(2): 205-218. http://web.stanford.edu/class/cs240/old/sp2014/readings/bigtable-osdi06.pdf
    [11]
    吴广君, 王树鹏, 陈明, 等. 海量结构化数据存储检索系统[J]. 计算机研究与发展, 2012, 49(增刊1): 1-5. https://www.cnki.com.cn/Article/CJFDTOTAL-JFYZ2012S1004.htm

    Wu G J, Wang S P, Chen M, et al, Massive structured data oriented storageand retrieve system[J]. Journal of Computer Research and Development, 2012, 49(S1): 1-5(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-JFYZ2012S1004.htm
    [12]
    Dean J, Ghemawat S. Mapreduce: Simplified data processing on large clusters[J]. Communications of the Acm, 2008, 51(1): 107-113. doi: 10.1145/1327452.1327492
    [13]
    McKenna A, Hanna M, Banks E, et al. The genome analysis toolkit: A map reduce framework for analyzing next-generation DNA sequencing data[J]. Genome Research, 2010, 20(9): 1297-1303. doi: 10.1101/gr.107524.110
    [14]
    郎波, 张博宇. 面向大数据的非结构化数据管理平台关键技术[J]. 信息技术与标准化, 2013, 434(10): 53-56. doi: 10.3969/j.issn.1671-539X.2013.10.013

    Lang B, Zhang B Y. Key techniques for building big-data-oriented unstructured data management platform[J]. Information Technology and Standardization, 2013, 434(10): 53-56(in Chinese with English abstract). doi: 10.3969/j.issn.1671-539X.2013.10.013
    [15]
    O'Driscoll A, Daugelaite J, Sleator R D. "Big data", Hadoop and cloud computing in genomics[J]. Journal of Biomedical Informatics, 2013, 46(5): 774-781. doi: 10.1016/j.jbi.2013.07.001
    [16]
    张丰. 面向网格的海量时空数据访问、集成与互操作研究[D]. 杭州: 浙江大学, 2007.

    Zhang F. Research on massivespatio-temporal data access, integration and interoperation for grid[D]. Hangzhou: Zhejiang University, 2007(in Chinese with English abstract).
    [17]
    Amorim R C, Castro J A, Silva J R, et al. A comparison of research data management platforms: architecture, flexible metadata and interoperability[J]. Universal Access in the Information Society, 2017, 16(4): 851-862. doi: 10.1007/s10209-016-0475-y
    [18]
    Heinzelman W B, Murphy A L, Carvalho H S, et al. Middleware to support sensor network applications[J]. Ieee Network, 2004, 18(1): 6-14. doi: 10.1109/MNET.2004.1265828
    [19]
    罗颖. 针对面向多源异构数据的数据集成中间件的设计与开发[J]. 网络安全技术与应用, 2019(6): 55-57. doi: 10.3969/j.issn.1009-6833.2019.06.032

    Luo Y. Design and development of data integration middleware for multi-source heterogeneous data[J]. Network Security Technology and Application, 2019, (6): 55-57(in Chinese with English abstract). doi: 10.3969/j.issn.1009-6833.2019.06.032
    [20]
    George G, Haas M, Pentland A. Big data and management[J]. Academy of Management Journal, 2014, 57(2): 321-326. doi: 10.5465/amj.2014.4002
    [21]
    [22]
    Leavitt N. Will NoSQL databases live up to their promise?[J]. Computer, 2010, 43(2): 12-14. doi: 10.1109/MC.2010.58
    [23]
    申德荣, 于戈, 王习特, 等. 支持大数据管理的NoSQL系统研究综述[J]. 软件学报, 2013, 24(8): 1786-1803. https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201308008.htm

    Shen D R, Yu G, Wang X T, et al. Survey on NoSQL for management of big data[J]. Journal of Software, 2013, 24(8): 1786-1803(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201308008.htm
    [24]
    Liu J Q, Mao X P, Wu C L, et al. Study on a computing technique suitable for true 3D modeling of complex geologic bodies[J]. Journal Geological Society of India, 2013, 82: 570-574. doi: 10.1007/s12594-013-0189-1
    [25]
    刘军旗. 工程地质数据处理方法探讨: 以水利枢纽工程为例[J]. 工程地质学报, 2014, 22(5): 989-996. https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201405035.htm

    Liu J Q. Engineering geological data processing method withwater conservancy hub project, as example[J]. Journal of Engineering Geology, 2014, 22(5): 989-996(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201405035.htm
    [26]
    Keim D A, Panse C, Sips M, et al. Pixel based visual data mining of geo-spatial data[J]. Computers & Graphics-UK, 2004, 28(3): 327-344. http://pdfs.semanticscholar.org/f1c5/589138d0b96923417e9be5b5eba0447db4dd.pdf
    [27]
    吴冲龙, 刘刚, 周琦, 等. 地质科学大数据统合应用的基本问题[J]. 地质科技通报, 2020, 39(4): 1-11. doi: 10.19509/j.cnki.dzkq.2020.0401

    Wu C L, Liu G, Zhou Q, et al. Fundamental problems of integrated application of big data in geoscience[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 1-11(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0401
    [28]
    Fan J Q, Han F, Liu H. Challenges of big data analysis[J]. National Science Review, 2014, 1(2): 293-314. doi: 10.1093/nsr/nwt032
    [29]
    田宜平, 刘维安, 张夏林. 基于等角度变比例投影的矿体轮廓线自动匹配方法研究[J]. 地质科技通报, 2020, 39(1): 175-180. doi: 10.19509/j.cnki.dzkq.2020.0119

    Tian Y P, Liu W A, Zhang X L. Automatic matching of ore body contour line based on equal-angle and variable proportion projection[J]. Bulletin of Geological Science and Technology, 2020, 39(1): 175-180(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0119
    [30]
    Noor A, Shukri M. Java based distributed multimedia data streaming with object request broker[D]. Kuala Lumpur, Malaysia: IEEE International Symposium on Information Technology, 2008.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(748) PDF Downloads(272) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return