长江科学院院报 ›› 2023, Vol. 40 ›› Issue (3): 181-185.DOI: 10.11988/ckyyb.20220901

• 数字孪生水利工程关键技术专栏 • 上一篇    下一篇

数字孪生水利工程安全智能分析预警技术研究及应用

牛广利1,2,3, 李天旸1,2,3, 杨恒玲4, 胡蕾1,2,3, 周华艳1,2,3, 方豪文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.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.国家大坝安全工程技术研究中心,武汉 430010;
    4.湖南澧水流域水利水电开发有限责任公司,长沙 410000
  • 收稿日期:2022-07-27 修回日期:2022-11-02 出版日期:2023-03-01 发布日期:2023-03-28
  • 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:
    中央级公益性科研院所基本科研业务费项目(CKSF2022143/GC)

Research and Application of Safety Intelligent Analysis and Early Warning Technology for Digital Twin Water Conservancy Project

NIU Guang-li1,2,3, LI Tian-yang1,2,3, YANG Heng-ling4, HU Lei1,2,3, ZHOU Hua-yan1,2,3, FANG Hao-wen1,2,3   

  1. 1. Engineering Safety and Disaster Prevention Department, Changjiang River Scientific Research Institute, Wuhan 430010, China;
    2. Research Center on Water Engineering Safety and Disaster Prevention of Ministry of WaterResources, Wuhan 430010, China;
    3. National Research Center on Dam Safety Engineering Technology,Wuhan 430010, China;
    4. Hunan Lishui Hydro & Power Co., Ltd., Changsha 410000, China
  • Received:2022-07-27 Revised:2022-11-02 Online:2023-03-01 Published:2023-03-28

摘要: 数字孪生水利工程是智慧水利建设的核心与关键。聚焦水利工程安全运行需求,有必要结合数字孪生建设,开展工程安全智能分析预警技术研究和系统开发工作,从而有效提升工程运行安全保障水平与突发事件应急处置能力。介绍了基于数字孪生平台的工程安全智能分析预警技术的总体框架,针对工程安全监测感知体系和工程安全模型库进行了详细论述,并构建了具有“四预”功能的工程安全智能业务应用。目前,研究成果已在数字孪生江垭皂市工程中获得初步应用,可为同类数字孪生工程建设提供借鉴与参考。

关键词: 数字孪生, 工程安全, 智能分析预警, 江垭, 皂市

Abstract: Digital twin water conservancy project is the core and key to smart water conservancy construction. In view of the safe operation requirements of water conservancy projects, it is necessary to combine digital twin with safety analysis and early warning technologies to enhance the safety level of project operation and the ability to deal with emergencies. We introduce the overall framework of intelligent safety analysis and early warning technology based on digital twin platform. In particular, we elaborate on the perception system and model library of engineering safety monitoring. The intelligent platform has functions of monitoring and prediction, early-warning and alarming, risk simulation, and intelligent emergency responses. At present, the platform has been preliminarily applied to the digital twin construction of Jiangya and Zaoshi project, and is expected to offer reference for the construction of similar digital twin projects.

Key words: digital twin, project safety, intelligent analysis and early warning, Jiangya, Zaoshi

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