长江科学院院报 ›› 2019, Vol. 36 ›› Issue (6): 161-165.DOI: 10.11988/ckyyb.20190215

• 大坝安全监测物联网设备与云平台技术专栏 • 上一篇    下一篇

基于云平台的大坝安全监测数据管理及分析系统研发与应用

牛广利1,2,3, 李端有1,2,3, 李天旸1,2,3, 何亮1,2,3   

  1. 1.长江科学院 工程安全与灾害防治研究所,武汉 430010;
    2.长江科学院 水利部水工程安全与病害防治工程技术研究中心,武汉 430010;
    3.长江科学院 国家大坝安全工程技术研究中心,武汉 430010
  • 收稿日期:2019-03-04 出版日期:2019-06-01 发布日期:2019-06-12
  • 通讯作者: 李端有(1965-),男,湖北鄂州人,教授级高级工程师,硕士,主要从事大坝安全监测、安全评估与信息化研究工作。E-mail:ldyweb@163.com
  • 作者简介:牛广利(1991-),男,安徽亳州人,工程师,硕士,主要从事大坝安全监测信息化应用研究工作。E-mail:85838737@qq.com
  • 基金资助:
    国家重点研发计划资助项目(2016YFC0401800,2016YFC0401600,2017YFC1502600,2018YFC0407100);长江科学院中央级公益性科研院所基本科研业务项目(CKSF2017051/GC)

Management and Analysis System for Dam Safety Monitoring Data Based on Cloud Platform: Development and Application

NIU Guang-li1,2,3, LI Duan-you1,2,3, LI Tian-yang1,2,3, HE Liang1,2,3   

  1. 1.Engineering Safety and Disaster Prevention Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.Research Center on Water Engineering Safety and Disaster Prevention of Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    3.National Research Center on Dam Safety Engineering Technology, Yangtze River Scientific Research Institute, Wuhan 430010, China
  • Received:2019-03-04 Online:2019-06-01 Published:2019-06-12

摘要: 目前国内大坝安全监测工作存在着信息化程度较低、软件功能较为单一、专业技术人员缺乏等一系列短板,因此,针对安全监测实际工作需求,设计和研发了一套基于云平台的大坝安全监测数据管理及分析系统,实现了安全监测数据的智能感知、云端管理、专业分析与监控预警。阐述了系统技术架构和功能架构,详细论述了系统关键技术。系统已在数十个大中型水利水电工程中成功应用,能够有效提高安全监测数据管理及分析水平,具有很好的推广应用前景。

关键词: 大坝安全监测, 数据管理, 云平台, 大数据, 水利信息化

Abstract: The safety monitoring work for dams in China is inadequately informatized with mono-function of software in lack of professional and technical personnel. In view of this, we designed and developed a management and analysis system for dam safety monitoring data based on cloud platform. The system has functions of intelligent perception, cloud management, professional analysis, monitoring and early warning of dam safety monitoring data. We expound the technical framework, functional framework and key technologies of the system. The system is proved of good application prospect by remarkably improving the management and analysis level of safety monitoring data in more than ten large-and-medium-sized hydropower projects.

Key words: dam safety monitoring, data management, cloud platform, big data, water conservancy informatization

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