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Photogrammetry Research for FAST Eleven-Meter Reflector Panel Surface Shape Measurement

机译:FAST十一米反射镜面板表面形状测量的摄影测量研究

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In order to design and manufacture the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) active reflector measuring equipment, measurement on each reflector panel surface shape was presented, static measurement of the whole neutral spherical network of nodes was performed, real-time dynamic measurement at the cable network dynamic deformation was undertaken. In the implementation process of the FAST, reflector panel surface shape detection was completed before eleven-meter reflector panel installation. Binocular vision system was constructed based on the method of binocular stereo vision in machine vision, eleven-meter reflector panel surface shape was measured with photogrammetry method. Cameras were calibrated with the feature points. Under the linearity camera model, the lighting spot array was used as calibration standard pattern, and the intrinsic and extrinsic parameters were acquired. The images were collected for digital image processing and analyzing with two cameras, feature points were extracted with the detection algorithm of characteristic points, and those characteristic points were matched based on epipolar constraint method. Three-dimensional reconstruction coordinates of feature points were analyzed and reflective panel surface shape structure was established by curve and surface fitting method. The error of reflector panel surface shape was calculated to realize automatic measurement on reflector panel surface shape. The results show that unit reflector panel surface inspection accuracy was 2.30mm, within the standard deviation error of 5.00mm. Compared with the requirement of reflector panel machining precision, photogrammetry has fine precision and operation feasibility on eleven-meter reflector panel surface shape measurement for FAST.
机译:为了设计和制造五百米孔径球面射电望远镜(FAST)有源反射镜测量设备,提出了对每个反射镜面板表面形状的测量,对整个中性球面网络进行了静态测量,实时进行了测量。在电缆网络上进行了动态测量,进行了动态变形。在FAST的实施过程中,反射镜面板表面形状检测在安装11米反射镜面板之前完成。基于机器视觉中的双目立体视觉方法构建了双目视觉系统,采用摄影测量法测量了11米反射镜面板的表面形状。用特征点校准相机。在线性相机模型下,将光斑阵列用作校准标准图案,并获取内在和外在参数。收集图像进行数字图像处理,并使用两台摄像机进行分析,使用特征点检测算法提取特征点,并基于对极约束方法对这些特征点进行匹配。分析了特征点的三维重构坐标,并通过曲面和曲面拟合的方法建立了反射面板的表面形状结构。计算反射器面板表面形状的误差,以实现对反射器面板表面形状的自动测量。结果表明,单元反光板的表面检查精度为2.30mm,标准偏差为5.00mm。与反光板的加工精度要求相比,摄影测量法在11米FAST的反光板表面形状测量中具有较高的精度和操作可行性。

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