通过使用深度摄像头捕捉跨级溢流的自由表面流动
Megh Raj K C1, Brian M Crookston1, Daniel B Bung2
1Utah Water Research Laboratory, Department of Civil and Environmental Engineering, Utah State University, 8200 Old Main Hill, Logan, UT 84322-8200, USA.
Sensors (Basel, Switzerland)
|April 26, 2025
概括
一个廉价的深度传感摄像头有效地测量了乱的,空气化的水流在阶梯溢流上. 这种具有成本效益的方法准确地捕捉了动态自由表面,在某些条件下性能优于传统传感器.
科学领域:
- 流体力学 流体力学 流体力学
- 实验性的液压系统
- 传感器技术 传感器技术
背景情况:
- 通过传统的现场点方法,很难精确地测量乱的自由表面流.
- 阶段性溢流产生高度乱和自我通风的流量,这给测量带来了重大挑战.
研究的目的:
- 为了评估一个负担得起的深度感应RGB-D摄像头 (Intel® RealSenseTM D455) 测量流,空气化的自由表面流动的有效性.
- 将基于摄像头的测量与已建立的方法比较,例如相位检测导电性探头 (PDCP) 和超声波传感器 (USS).
主要方法:
- 使用英特尔RealSenseTM D455深度摄像头,在各种环境照明和传感器设置下捕获3D水面数据.
- 提取了自由表面的形状,并将其与PDCP和USS的同时测量进行了比较.
- 评估了摄像机在分级溢出管的非空气和空气流量区域的性能.
主要成果:
- 深度摄像头准确地捕捉了空气流域中的动态水面,平均配置密切匹配PDCP和USS测量.
- 流水深度测量在通风区的USS深度的10%以内,与80-90%的空气度水平相关.
- 鉴定了由于透明度和反射而导致非气化和清水地区的局限性,导致较小的深度读数和数据差距.
结论:
- 深度传感摄像头是一种实用且具有成本效益的工具,用于测量阶梯道中的高速,空气和动态自由表面.
- 传感器成功捕获了时间波动,从而能够计算空气度和接口频率,从而与其他传感器进行直接比较.
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