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安徽省水利大数据中心建设探讨
引用本文:谢艾玲,胡卫权,秦平,谈正鑫. 安徽省水利大数据中心建设探讨[J]. 水利信息化, 2022, 0(1): 71-75. DOI: 10.19364/j.1674-9405.2022.01.014
作者姓名:谢艾玲  胡卫权  秦平  谈正鑫
作者单位:科大讯飞股份有限公司,安徽 合肥 230088;安徽省水利厅,安徽 合肥 230022
摘    要:为解决安徽省水利信息化建设现有数据资源分散、标准不一致、共享困难、开发利用效率不高等问题,基于前期建设已有成果,通过数据资源整合、数据资源管理系统开发、应用服务支撑建设、大数据分析试点应用、云计算平台建设、技术规范和管理制度编制等一系列水利大数据中心建设内容,厘清水利对象关系,实现数据汇集交换和有序共享,提供应用系统基...

关 键 词:水利大数据中心  水利信息化  数据资源  信息资源利用率  建设
收稿时间:2021-05-13
修稿时间:2021-08-09

Discussion on construction of big data center of water conservancy in Anhui province
XIE Ailing,HU Weiquan,QIN Ping,TAN Zhengxin. Discussion on construction of big data center of water conservancy in Anhui province[J]. Water Resources Information, 2022, 0(1): 71-75. DOI: 10.19364/j.1674-9405.2022.01.014
Authors:XIE Ailing  HU Weiquan  QIN Ping  TAN Zhengxin
Affiliation:Iflytek Co.,Ltd.,Hefei 230088 ,China;Water Resources Department of Anhui Province,Hefei 230022 ,China
Abstract:In order to solve the problems of dispersed data resources, inconsistent standards, difficulties in data sharing and low development and utilization efficiency of water conservancy information in Anhui Province, this paper aims to build and improve Anhui water conservancy large data center, software and hardware are centralized in the data center. Through integration of data resource, data resource management system development, application service support construction, big data analytics pilot application, cloud computing platform construction, technical standard and management system and a series of large water conservancy data center construction content, water conservancy object relationships is clarified to achieve data acquisition orderly exchange and sharing, provide application system foundation supporting capacity, explore the application scenarios of water conservancy big data analysis, ensure the basic environment of data storage and management, and establish a unified and standard data sharing mechanism, based on the existing achievements of preliminary construction. The scattered information is integrated systematically and shared orderly, which could realize unified standard, shared platform, shard data and synergetic business of water conservancy informatizaiton, effectively improve the utilization of information resources and strong support the provincial water conservancy core business operations.
Keywords:water conservancy informatization   data resource   Water conservancy big data center   Utilization rate of information resources
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