降落伞气动开伞过程、高速客机气动外形的优化都需要可视化流场信息,因此,以大气扰动引发的背景光线偏折为基础,建立了基于“整像素十字搜索+Newton-Raphson亚像素定位+扰动方程求解”的运动物体高精度大气扰动检出方法,并通过数值散斑图像验证了本方法在理想条件下的理论检出精度。在实验室内以散斑图像为背景,用本方法和传统纹影监测方法对高压气管出口气流进行扰动检出,结果表明,本方法的准确性较高,可为实验室外的可视化监测提供一种适用性较强的方法。

Information in visualizing flow field is needed for optimization in the aerodynamic opening process of parachute and in the process of optimizing aerodynamic shape of commercial aircraft. In this paper, based on the principle that atmospheric disturbance can lead to deflection of the background light, high-precision atmospheric disturbance detection method for moving objects is established. The method is composed of integral pixel crossing search, Newton-Raphson sub-pixel location, and solution of disturbing equation. The theoretical disturbance detection accuracy in ideal conditions is verified using numerical speckle image. Using the speckle image as the background in the laboratory, the method and the traditional schlieren monitoring method are used to detect the disturbance of the high-pressure tracheal outlet airflow. The results show that the accuracy of the method is high, and it can provide a more applicable way for visual monitoring outside the laboratory.