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溃口下游河道水动力特征实时监测技术研究

郭秋歌 杨洋 介玉新

水力发电学报2026,Vol.45Issue(5):16-29,14.
水力发电学报2026,Vol.45Issue(5):16-29,14.DOI:10.11660/slfdxb.20260502

溃口下游河道水动力特征实时监测技术研究

Study on real-time monitoring technology for hydrodynamics of river channel flow downstream of breached dams

郭秋歌 1杨洋 2介玉新2

作者信息

  • 1. 河南黄河河务局信息中心,郑州 450003||河南智慧黄河研究院,郑州 450003
  • 2. 清华大学 水圈科学与水利工程全国重点实验室,北京 100084||清华大学 水利部水圈科学重点实验室,北京 100084||清华大学 水利水电工程系,北京 100084
  • 折叠

摘要

Abstract

Real-time and accurate monitoring of the hydrodynamic characteristics of river channel flow downstream of a breached dam is fundamental to the safety protecting performance of a hydraulic project and the decision-making of flood control and disaster mitigation.Traditional contact-based monitoring technologies suffer from response delays and low accuracy,failing to meet emergency monitoring demands.By integrating image recognition technology,LSPIV,and PTV techniques,this study develops an efficient HAIT algorithm engine that significantly enhances accuracy and efficiency in the velocity measurement of the flow passing through the breach and its distribution.Aiming at the challenges in the monitoring in complex scenarios,we adopt the L-K pyramid optical flow algorithm and the image pyramid construction method to resolve optical flow calculation issues in the case of large-scale motion discontinuities.And,we develop a comprehensive technology framework-comprising the composition of the system and its workflow-for river video-based intelligent flow velocity monitoring,and validate its reliability and effectiveness through testing its practical application,as a new tool for riverine hydrodynamic characteristics downstream of a breached dam.

关键词

溃口水动力/实时监测/视频智能流场识别/LSPIV/PTV

Key words

breach hydraulic/real-time monitoring/video intelligent flow field identification/LSPIV/PTV

分类

信息技术与安全科学

引用本文复制引用

郭秋歌,杨洋,介玉新..溃口下游河道水动力特征实时监测技术研究[J].水力发电学报,2026,45(5):16-29,14.

基金项目

国家重点研发计划项目(2023YFC3011401) (2023YFC3011401)

水力发电学报

1003-1243

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