Laser Fusion Research Center, Chinese Academy of Engineering Physics, Mianyang 621900, China
| Abstract: | The high-precision 3D coordinate control network is the foundation for on-site installation of various large-scale modules in large-scale scientific facility. The scale of optical devices such as astronomical telescopes can usually reach tens of meters or more, and the installation accuracy of their large aperture optical mechanical modules can reach the sub-millimeter level. In response to the coordinate control requirements for the precise installation of large aperture optical mechanical modules in optical devices, this article intends to study the impact of the grid shape of the coordinate network on the accuracy and reliability of the coordinate network through measurement and analysis. Firstly, 29 measurement points and 4 stations are arranged within an 18m× 18m area in this article, and the coordinate values of each measurement point in the first station coordinate system are obtained through measurement and analysis, forming a 3D coordinate control network. Then, a fully connected network, a loop back close network, and a loop back open network are constructed through line screening. Finally, based on the generalized reliability theory of control networks, the accuracy of the network is evaluated from various aspects such as the uncertainty of each measurement point, the difference between the analyzed and measured values of the distance from each measurement point to the measurement station in the network, and the difference between the analyzed and nominal values of the length of the control network's long scale. The results indicate that the error of each measurement point in the fully connected network does not exceed 40 μ m. The fully connected network has the highest accuracy and reliability, while the loop open loop network has the lowest accuracy and reliability. |
| Keywords: | Large Aperture Optical Mechanical Module; 3D Coordinate Control Network; Laser Tracker; Unified Spatial Measurement Network |
| DOI: | 10.57237/j.earth.2023.01.002 |
| 1. | 国家自然科学基金项目 (U20A20215) |
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