謝艾玲1，胡衛權2，秦 平1，談正鑫1

　　(1. 科大訊飛股份有限公司，安徽 合肥 230088;

　　2. 安徽省水利廳，安徽 合肥 230022)

　　摘 要：為解決安徽省水利信息化建設現有數據資源分散、標準不一致、共享困難、開發利用效率不高等問題，基于前期建設已有成果，通過數據資源整合、數據資源管理系統開發、應用服務支撐建設、大數據分析試點應用、云計算平臺建設、技術規范和管理制度編制等一系列水利大數據中心建設內容，厘清水利對象關系，實現數據匯集交換和有序共享，提供應用系統基礎支撐能力，探索水利大數據分析應用場景，保障數據存儲及管理基礎環境，建立統一標準的數據共享機制。通過建設完善安徽省水利大數據中心，將軟硬件統一集中在數據中心，對分散的信息數據進行系統整合和有序共享，實現水利信息化標準統一、平臺共用、數據共享、業務協同，有效提高信息資源的利用率，有力支撐全省水利核心業務的運作。

　　關鍵詞：水利大數據中心;水利信息化;數據資源;信息資源利用率;建設

　　Discussion on construction of big data center of water conservancy in Anhui Province

　　XIE Ailing1，HU Weiquan2，QIN Ping1，TAN Zhengxin1

　　(1. Iflytek Co.，Ltd.，Hefei 230088，China;

　　2. 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.

　　Key words: water conservancy big data center;water conservancy informatization;data resource; utilization rate of information resources;construction