时空图像测速法的敏感性分析及不确定度评估
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH815

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目),国家科技攻关计划,江西省水信息协同感知与智能处理重点实验室开放基金


Sensitivity Analysis and Uncertainty Evaluation of Space-Time Image Velocimetry
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    时空图像测速方法(STIV)是一种以测速线为分析区域、通过检测合成时空图像的纹理主方向估计一维时均流速测量方法。由于具有空间分辨率高、实时性强的优点,在河流水面流速、流量的实时监测中具有特别的应用潜力。但鉴于现场环境的复杂性和河道水流的变化性,现有研究在敏感性分析及不确定度评估方面尚存在不足,使得方法的实用性受限。对此设计了一种滚动画幅装置来模拟河流水面运动,并在此基础上全面开展了频域STIV方法的定量评估。相比数值模拟和现场比测的方法,该装置能够提供相对真实的测量环境和稳定的运动参数。实验结果表明:测速线长度和示踪条件是影响测量精度的主要敏感因素。通过合理的参数设置可以将方法的不确定度控制在±1%以内,能够满足水文测验的精度要求。

    Abstract:

    Space-Time Image Velocimetry (STIV) is a time-averaged velocity measurement method. It takes a testing line as the Interrogation Area (IA), and detects the texture orientation of a generated Space-Time Image to estimate the 1D velocity. STIV has great potential in real-time monitoring of river flow owe to its high spatial resolution and low time complexity. However, its practicality is still limited by the deficiencies of sensitivity analysis and uncertainty evaluation due to the complexity of field conditions and the variability of river flow. To handle this problem, a rolling painting device is designed to simulate the movement of river surface flow, and the quantitative evaluation of a DFT-STIV method is comprehensively conducted. Compared to the evaluations based on numerical simulation and field measuring, it provides relatively real measuring environment and stable motion parameters. Experiment results show that the length of testing line and the tracing condition are main sensitive factors of velocity measurement. With reasonable parameter settings, the uncertainty of STIV can be controlled within ±1%, which meets the accuracy requirement of hydrometry.

    参考文献
    相似文献
    引证文献
引用本文

张振,王慧斌,严锡君,高红民,李臣明.时空图像测速法的敏感性分析及不确定度评估[J].仪器仪表学报,2017,38(7):1764-1772

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2017-01-18
  • 最后修改日期:2017-05-31
  • 录用日期:
  • 在线发布日期: 2024-01-16
  • 出版日期:
文章二维码