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
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摘要
三峡库区地质灾害的原始数据是一种多来源、大数量、多类型、多格式、多尺度、多参照系、多精度、标准化程度差、数字化程度不同、密级不同的多源异构大数据,采用单一数据库对数据进行管理的模式无法满足不同层次数据管理、不同层次数据应用的实际需求。依据三峡库区地质灾害数据的本身特征和多层次数据应用的需求,本文采用了一种双层四块、底层物理隔离的数据管理模式。这种模式支撑了三峡库区地质灾害防治信息系统及预警指挥系统几年来的顺利运转,不但很好地管理了三峡库区多年来的各类涉密与非密的原始数据和成果数据,也可以为不同层次的管理部门和科研等部门提供多层次的数据支持与服务,是一种针对部分涉密的复杂大数据的良好的管理模式。
The original data of geological disaster in the Three Gorges Reservoir Area is a kind of multi-source heterogeneous data. This kind of Big Data is multi-source,with large quantity,multi-type,multi-format,multi-scale, multi-frame of reference, multi-precision, with poor standardization, different degrees of digitization,as well as different security classifications. The mode of managing the data with a single database cannot meet the actual requirement of different levels of data management and data application. According to the characteristics of geologic disaster data and the demand of multi-level data application in the Three Gorges Reservoir Area,we adopted a data management mode of double layers-four pieces,and the underlying physical isolation. This mode has supported the successful operation of the geologic disaster prevention and control information system as well as the early warning command system in the Three Gorges Reservoir Area for several years. It can not only manage all kinds of classified or unclassified raw data and result data in the Three Gorges Reservoir Area, but also provide multi-level data support and service for managementdepartments and research departments at different levels. It is a useful management mode for the partly classified and complex Big Data.
The original data of geological disaster in the Three Gorges Reservoir Area is a kind of multi-source heterogeneous data. This kind of Big Data is multi-source,with large quantity,multi-type,multi-format,multi-scale, multi-frame of reference, multi-precision, with poor standardization, different degrees of digitization,as well as different security classifications. The mode of managing the data with a single database cannot meet the actual requirement of different levels of data management and data application. According to the characteristics of geologic disaster data and the demand of multi-level data application in the Three Gorges Reservoir Area,we adopted a data management mode of double layers-four pieces,and the underlying physical isolation. This mode has supported the successful operation of the geologic disaster prevention and control information system as well as the early warning command system in the Three Gorges Reservoir Area for several years. It can not only manage all kinds of classified or unclassified raw data and result data in the Three Gorges Reservoir Area, but also provide multi-level data support and service for managementdepartments and research departments at different levels. It is a useful management mode for the partly classified and complex Big Data.
引文
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[2]张礼中,张永波,周小元,等.地质灾害信息系统的设计与实现[J].地质论评,2000,46:155-159.ZHANG Lizhong,ZHANG Yongpo,ZHOU Xiaoyuan,et al.Design and realization of geological hazards information system[J].Geological Review,2000,46:155-159.
[3]陈蓓青,黄俊.涉水地质灾害多源数据管理与应用探讨[J].人民长江,2012,43(8):98-100.CHEN Beiqing,HUANG Jun.Discussion on multisource data management and application of waterrelated geological disaster[J].Yangtze River,2012,43(8):98-100.
[4]YUSUPOV R M.Geological and geophysical and field data management[J].Neftyanoe khozyaistvo,2013,9:86-89.
[5]GU Jiangyong,CHAE D H.A state-of-the-practice review on the management of the domestic geotechnical and geological Information data[J].Journal of The Korean Geoenvironmental Society,2013,14(4):39-46.
[6]董金义,史正涛,洪亮,等.舟曲县城区灾后重建地质灾害监测预警及治理工程[J].测绘科学,2014,39(6):79-82.DONG Jinyi,SHI Zhengtao,HONG Liang,et al.3Dvisualization system about reconstruction after hazard and monitoring and prewarning project on geological disaster in Zhouqu[J].Science of Surveying and Mapping,2014,39(6):79-82.
[7]VAZQUEZ-SUNE ENRIC,ANGEL MARAZUELA MIGUEL,VELASCO VIOLETA,et al.A geological model for the management of subsurface data in the urban environment of Barcelona and surrounding area[J].Solid Earth,2016,7(5):1317-1329.
[8]李国洋,徐启恒.数字东莞三维地质灾害信息发布平台设计与实现[J].测绘与空间地理信息,2017(4):123-126.LI Guoyang,XU Qiheng.Dongguan three-dimensional digital geological disaster information release platform design and implementation[J].Geomatics&Spatial Information Technology,2017(4):123-126.
[9]化柏林.多源信息融合方法研究[J].情报理论与实践,2013,36(11):16-19.HUA Bolin.Research on multi-source information fusion method[J].Information Studies Theory&Application,2013,36(11):16-19.
[10]李清泉,李德仁.大数据GIS[J].武汉大学学报(信息科学版),2014,39(6):641-644.LI Qingquan,LI Deren.Big Data GIS[J].Geomatics and Information Science of Wuhan University,2014,39(6):641-644.
[11]喻孟良,任晓霞,曾青石,等.地质环境数据集成方法探讨及实例应用[J].中国地质灾害与防治学报,2016,27(4):103-108.YU Mengliang,REN Xiaoxia,ZENG Qingshi,et al.Discussion and application of data integration method for geological environment data[J].The Chinese Journal of Geological Hazard and Control,2016,27(4):103-108.
[12]于萍萍,陈建平,柴福山,等.基于地质大数据理念的模型驱动矿产资源定量预测[J].地质通报,2015,34(7):1333-1343.YU Pingping,CHEN Jianping,CHAI Fushan,et al.Research on model-driven quantitative prediction and evalution of mineral resources based on geological big data concept[J].Geological Bulletin of China,2015,34(7):1333-1343.
[13]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.WU Chonglong,LIU Gang,ZHANG Xialin,et al.Discussion on geological science big data and its applications[J].Chinese Science Bulletin,2016,61(16):1797-1807.
[14]刘经南,方媛,郭迟,等.位置大数据的分析处理研究进展[J].武汉大学学报(信息科学版),2014,39(4):379-385.LIU Jingnan,FANG Yuan,GUO Chi,et al.Research progress in location big data analysis and processing[J].Geomatics and Information Science of Wuhan University,2014,39(4):379-385.
[15]宫夏屹,李伯虎,柴旭东,等.大数据平台技术综述[J].系统仿真学报,2014,26(3):489-496.GONG Xiayi,LI Bohu,CHAI Xudong,et al.Survey on big data platform technology[J].Journal of System Simulation,2014,26(3):489-496.
[16]李武军,周志华.大数据哈希学习:现状与趋势[J].科学通报,2015,60(5-6):485–490.LI Wujun,ZHOU Zhihua.Learning to hash for big data:current status and future trends[J].Chinese Science Bulletin,2015,60(5-6):485–490.
[17]严光生,薛群威,肖克炎,等.地质调查大数据研究的主要问题分析[J].地质通报,2015,34(7):1273-1279.YAN Guangsheng,XUE Qunwei,XIAO Keyan,et al.An analysis of major problems in geological survey big data[J].Geological Bulletin of China,2015,34(7):1273-1279.
[18]廖建新.大数据技术的应用现状与展望[J].电信科学,2015(7):189.LIAO Jianxin.Big data technology:current application and prospects[J].Telecommunications Science,2015(7):189.
[19]林海伦,杨晓刚,熊锦华,等.Deep Web数据采集查询构造方法研究[J].计算机科学与探索,2015,9(9):1025-1033.LIN Hailun,YANG Xiaogang,XIONG Jinhua,et al.Research on query construction method for deep web data crawling[J].Journal of Frontiers of Computer Science and Technology,2015,9(9):1025-1033.
[20]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.LIU Junqi.Engineering geological data process method with water conservancy hub project,as example[J].Journal of Engineering Geology,2014,22(5):989-996.