视觉测流技术综述
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作者单位:

1.云南省水文水资源局楚雄分局;2.水利部交通运输部国家能源局南京水利科学研究院,水利部南京水利水文自动化研究所

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中图分类号:

TP23;P332

基金项目:

中央级公益性科研院所基本科研业务费专项资金青年基金项目“基于流速面积法的灌渠轨道自动测流系统研究与应用”(Y923010)


A review of visual current measurement techniques
Author:
Affiliation:

1.Yunnan Hydrology and Water Resources Bureau, Chuxiong Branch, Chuxiong;2.Nanjing Institute of Hydraulic Sciences, Ministry of Water Resources, Ministry of Transport, National Energy Administration, and Nanjing Institute of Hydraulic Sciences,Nanjing Institute of Water Resources and Hydrology Automation

Fund Project:

Youth Fund Project of Basic Research Funds for Central Public Welfare Research Institutes (Y923010)

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    摘要:

    视觉测流技术在非接触式河流流量监测中具有重要应用价值。通过综述视觉测流算法的主要方法,包括光学目标跟踪测流算法和统计特征测流算法,深入分析了这两种方法的底层原理以及研究现状。探讨现有视觉测流算法存在的问题,如算法在处理天然河流的不规则性、复杂流动特性以及野外环境干扰时测量精度不理想等,并对光学目标跟踪测流算法和统计特征测流算法进行了对比与分析。最后,对这两种方法的优势与缺点进行了总结,并对未来研究方向进行展望。

    Abstract:

    Visual flow measurement technology has important application value in non-contact river flow monitoring. By reviewing the main methods of visual current measurement algorithms, including optical target tracking current measurement algorithm and statistical feature current measurement algorithm, the underlying principles and research status of these two methods are analyzed in depth. The problems existing in the existing visual flow measurement algorithms are discussed, such as the unsatisfactory measurement accuracy of the algorithm in dealing with the irregularity of natural rivers, complex flow characteristics and field environmental interference, and the optical target tracking flow measurement algorithm and the statistical feature flow measurement algorithm are compared and analyzed. Finally, the advantages and disadvantages of these two methods are summarized, and the future research directions are prospected.

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历史
  • 收稿日期:2024-12-13
  • 最后修改日期:2025-05-09
  • 录用日期:2025-05-14
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