{"title":"逃离实验室:利用自然光和无人驾驶飞行器进行大规模粒子跟踪的进展","authors":"Robin Leister, David E. Rival","doi":"10.1007/s00348-025-04067-0","DOIUrl":null,"url":null,"abstract":"<div><p>Here we explore the potential of the glare-point particle tracking (GPPT) technique for realistic field-scale measurements. We make use of a commercially available, drone-based camera to extract three-dimensional information under natural light conditions. Air-filled soap bubbles on the order of centimeters are used as seeding tracers. In the current tests, the suitability of the portable setup has been demonstrated for volumes up to <span>\\(163\\,\\)</span> m<span>\\(^3\\)</span>. The frame-to-frame camera movement, caused by slight adjustments of the drone flying outdoors, could be quantified and corrected via an image-based approach. Both limits introduced through the larger tracer size and uncertainty caused by the glare-point approach are discussed accordingly. Furthermore, based on the fixed magnification of the drone camera, the limit in drone operation can be determined when the two most dominant, bubble-based glare points collapse onto one, which was observed well above a height of <span>\\(10\\,\\)</span>m. Finally, a turbulent free jet, exiting from a square-shaped nozzle with edge length <span>\\(0.3\\,\\)</span> m, served as an exemplary test case. Tracks emerging at the jet exit all the way to <span>\\(10\\,\\)</span> m downstream of the nozzle were successfully reconstructed in three dimensions. Lagrangian properties, such as flow acceleration, as well as pathline curvature at the integral length scale, were resolved in the large turbulent jet. This sparse yet accurate Lagrangian data over a large physical volume demonstrates insights into turbulent mixing processes at the integral length well beyond current Eulerian-based descriptions.</p></div>","PeriodicalId":554,"journal":{"name":"Experiments in Fluids","volume":"66 7","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00348-025-04067-0.pdf","citationCount":"0","resultStr":"{\"title\":\"Escaping the lab: advances in large-scale particle tracking using natural light and uncrewed aerial vehicles\",\"authors\":\"Robin Leister, David E. Rival\",\"doi\":\"10.1007/s00348-025-04067-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Here we explore the potential of the glare-point particle tracking (GPPT) technique for realistic field-scale measurements. We make use of a commercially available, drone-based camera to extract three-dimensional information under natural light conditions. Air-filled soap bubbles on the order of centimeters are used as seeding tracers. In the current tests, the suitability of the portable setup has been demonstrated for volumes up to <span>\\\\(163\\\\,\\\\)</span> m<span>\\\\(^3\\\\)</span>. The frame-to-frame camera movement, caused by slight adjustments of the drone flying outdoors, could be quantified and corrected via an image-based approach. Both limits introduced through the larger tracer size and uncertainty caused by the glare-point approach are discussed accordingly. Furthermore, based on the fixed magnification of the drone camera, the limit in drone operation can be determined when the two most dominant, bubble-based glare points collapse onto one, which was observed well above a height of <span>\\\\(10\\\\,\\\\)</span>m. Finally, a turbulent free jet, exiting from a square-shaped nozzle with edge length <span>\\\\(0.3\\\\,\\\\)</span> m, served as an exemplary test case. Tracks emerging at the jet exit all the way to <span>\\\\(10\\\\,\\\\)</span> m downstream of the nozzle were successfully reconstructed in three dimensions. Lagrangian properties, such as flow acceleration, as well as pathline curvature at the integral length scale, were resolved in the large turbulent jet. 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引用次数: 0
摘要
在这里,我们探讨了眩光点粒子跟踪(GPPT)技术在现实场尺度测量中的潜力。我们利用商用无人机相机在自然光条件下提取三维信息。厘米大小的充气肥皂泡被用作种子示踪剂。在当前的测试中,便携式设置的适用性已被证明适用于高达\(163\,\) m \(^3\)的容量。由无人机在户外飞行时的轻微调整引起的逐帧相机运动,可以通过基于图像的方法进行量化和校正。通过较大的示踪剂尺寸引入的限制和由眩点方法引起的不确定度进行了相应的讨论。此外,基于无人机相机的固定放大倍数,当两个最主要的气泡型眩光点合二一起时,可以确定无人机操作的极限,这是在高度\(10\,\) m以上观察到的。最后,从边缘长度\(0.3\,\) m的方形喷嘴流出的湍流自由射流作为示例性测试用例。在喷管出口处出现的轨迹一路延伸到喷管下游\(10\,\) m处,成功地进行了三维重建。拉格朗日性质,如流动加速度,以及积分长度尺度下的路径曲率,在大型湍流射流中得到了解析。这种稀疏但精确的拉格朗日数据在大物理体积上展示了对积分长度湍流混合过程的见解,远远超出了当前基于欧拉的描述。
Escaping the lab: advances in large-scale particle tracking using natural light and uncrewed aerial vehicles
Here we explore the potential of the glare-point particle tracking (GPPT) technique for realistic field-scale measurements. We make use of a commercially available, drone-based camera to extract three-dimensional information under natural light conditions. Air-filled soap bubbles on the order of centimeters are used as seeding tracers. In the current tests, the suitability of the portable setup has been demonstrated for volumes up to \(163\,\) m\(^3\). The frame-to-frame camera movement, caused by slight adjustments of the drone flying outdoors, could be quantified and corrected via an image-based approach. Both limits introduced through the larger tracer size and uncertainty caused by the glare-point approach are discussed accordingly. Furthermore, based on the fixed magnification of the drone camera, the limit in drone operation can be determined when the two most dominant, bubble-based glare points collapse onto one, which was observed well above a height of \(10\,\)m. Finally, a turbulent free jet, exiting from a square-shaped nozzle with edge length \(0.3\,\) m, served as an exemplary test case. Tracks emerging at the jet exit all the way to \(10\,\) m downstream of the nozzle were successfully reconstructed in three dimensions. Lagrangian properties, such as flow acceleration, as well as pathline curvature at the integral length scale, were resolved in the large turbulent jet. This sparse yet accurate Lagrangian data over a large physical volume demonstrates insights into turbulent mixing processes at the integral length well beyond current Eulerian-based descriptions.
期刊介绍:
Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.