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基于绝对测距的多站三角测量网络精度增强与联合校准方法

Accuracy enhancement and joint calibration method of multi-station triangulation network based on absolute ranging.

作者信息

Yang Shuo, Yang Linghui, Wu Tengfei, Shi Shendong, Ma Luyao, Zhu Jigui

出版信息

Appl Opt. 2024 May 1;63(13):3547-3556. doi: 10.1364/AO.520571.

DOI:10.1364/AO.520571
PMID:38856540
Abstract

Precision measurement methods and technologies for large-scale three-dimensional coordinates are in high demand in advanced equipment manufacturing. The multi-station triangulation network represented by the rotary-laser scanning measurement system has the advantages of having high precision, having multitask parallel measurement capability, and having a high degree of automation. It is widely used in the docking of large components, quality control of key points, and collaborative positioning of production equipment. Nevertheless, due to the limitations in the measurement principle, the positioning accuracy along the depth direction is notably lower when compared to other directions. This difference becomes more pronounced with increasing distance. This paper proposes a method to address this issue by integrating a distance measurement station into the network. A novel, to the best of our knowledge, cooperative target, coupled with a high-dynamic beam guidance mechanism, is designed to achieve fast absolute distance measurement to the target. The weighted fusion of the distance and angle observations effectively enhances the measurement accuracy while preserving the advantages of highly automated measurement. Additionally, we introduce a joint calibration method for extrinsic parameters of multi-type stations. High-precision absolute distances are utilized to establish optical scale bars, complemented by the incorporation of physical scale bars, thereby obviating the necessity for using external reference instruments such as laser trackers. Finally, a series of experimental verifications demonstrate the effectiveness of calibration and measurement methods. The root mean square error of all measured points drop to 42.6% of that the triangulation method measures.

摘要

在先进装备制造中,对大规模三维坐标的精密测量方法和技术有很高的需求。以旋转激光扫描测量系统为代表的多站三角测量网络具有精度高、具备多任务并行测量能力以及自动化程度高的优点。它广泛应用于大型部件的对接、关键点的质量控制以及生产设备的协同定位。然而,由于测量原理的限制,与其他方向相比,沿深度方向的定位精度明显较低。随着距离增加,这种差异变得更加明显。本文提出一种通过将测距站集成到网络中来解决此问题的方法。据我们所知,设计了一种新颖的协同目标,并结合高动态光束引导机制,以实现对目标的快速绝对距离测量。距离和角度观测值的加权融合在保持高度自动化测量优势的同时,有效提高了测量精度。此外,我们引入了一种多类型站外部参数的联合校准方法。利用高精度绝对距离建立光学标尺,并结合物理标尺,从而无需使用激光跟踪仪等外部参考仪器。最后,一系列实验验证证明了校准和测量方法的有效性。所有测量点的均方根误差降至三角测量法测量值的42.6%。

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