全国山洪灾害调查评价成果数据管理平台设计

发布时间：2018-12-20 08:46

【摘要】：全国山洪灾害调查评价成果数据类型多样、数据量大、数据结构关系复杂、专业性强。全国汇总数据量超过100TB,省级平均数据量达到TB级,数据有效管理难度大。基于行政区划隶属关系和小流域两条主线出发,设计全国山洪灾害调查评价数据模型,建立了对象实体模型、梳理了对象关系,利用ETL技术进行海量数据的多级综合与集成,形成多级数据综合成果。在此基础上,基于面向服务软件架构进行数据管理软件平台设计与开发,实现了不同管理层级差异化信息组织、多维信息关联分析、在线分析汇总统计等功能。解决了全国山洪灾害调查评价工作中海量多源数据管理、不同业务层级需求差异化等问题,可为各级山洪灾害调查评价数据管理与共享提供参考。
[Abstract]:The results of national mountain torrent disaster investigation and evaluation are of various data types, large amount of data, complicated data structure and strong specialization. The amount of data collected in the whole country is over 100TB.The provincial average data amount reaches TB level, so it is difficult to manage the data effectively. Based on the two main lines of administrative division and small watershed, this paper designs the national mountain flood disaster investigation and evaluation data model, establishes the object entity model, combs the object relation, and makes use of ETL technology to synthesize and integrate the massive data. Form multilevel data synthesis result. On this basis, the data management software platform is designed and developed based on the service-oriented software architecture, which realizes the functions of different management level differential information organization, multidimensional information association analysis, on-line analysis and summary statistics, etc. The problems of massive multi-source data management and different business level demand are solved in the investigation and evaluation of mountain torrents disaster in China, which can provide a reference for the management and sharing of the data in the investigation and evaluation of mountain torrents disaster at all levels.
【作者单位】：天津大学水利工程仿真与安全国家重点实验室;中国水利水电科学研究院;
【基金】：国家自然科学基金项目(51579131) 中国水科院科研专项(JZ0145B042016;JZ0145C022017)~~
【分类号】：TV87;X43

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