Lang Zou , Chen Luo , Gang Zhang , Yuanmin He , Qihang Zhang , Yijun Zhou
{"title":"High-precision construction method for laser tracker measurement network","authors":"Lang Zou , Chen Luo , Gang Zhang , Yuanmin He , Qihang Zhang , Yijun Zhou","doi":"10.1016/j.precisioneng.2025.11.013","DOIUrl":null,"url":null,"abstract":"<div><div>Efficient and precise automatic measurement is essential for evaluating the manufacturing accuracy of industrial components. The measurement network composed of multiple laser tracker measurement stations (LTMSs) as the foundation for achieving automated measurement of large-scale industrial components, it is particularly important to improve its measurement accuracy. However, the measurement accuracy of the measurement network, which is constructed according to the existing methods, often deviates from its optimal state. To address this, a high-precision construction method for laser tracker measurement network is developed. Firstly, the weight coefficient matrix based on the measurement errors of enhanced reference system points and the iterative optimization algorithm are used to improve the accuracy of the transformation parameters between adjacent LTMSs. Secondly, the optimal number of LTMSs is determined based on the principle of minimizing overall measurement errors for any two measurement points. Finally, the spatial position of each LTMS is optimized according to the principle of minimum measurement errors. The transformation parameters verification experiment and the simulation measurement experiment prove the effectiveness of the proposed method, which can significantly reduce the transformation errors and the overall measurement errors. The proposed method provides a valuable way for industries to improve the performance of automatic measurement of laser tracker measurement networks in real environment.</div></div>","PeriodicalId":54589,"journal":{"name":"Precision Engineering-Journal of the International Societies for Precision Engineering and Nanotechnology","volume":"97 ","pages":"Pages 1006-1018"},"PeriodicalIF":4.5000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Engineering-Journal of the International Societies for Precision Engineering and Nanotechnology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141635925003319","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Efficient and precise automatic measurement is essential for evaluating the manufacturing accuracy of industrial components. The measurement network composed of multiple laser tracker measurement stations (LTMSs) as the foundation for achieving automated measurement of large-scale industrial components, it is particularly important to improve its measurement accuracy. However, the measurement accuracy of the measurement network, which is constructed according to the existing methods, often deviates from its optimal state. To address this, a high-precision construction method for laser tracker measurement network is developed. Firstly, the weight coefficient matrix based on the measurement errors of enhanced reference system points and the iterative optimization algorithm are used to improve the accuracy of the transformation parameters between adjacent LTMSs. Secondly, the optimal number of LTMSs is determined based on the principle of minimizing overall measurement errors for any two measurement points. Finally, the spatial position of each LTMS is optimized according to the principle of minimum measurement errors. The transformation parameters verification experiment and the simulation measurement experiment prove the effectiveness of the proposed method, which can significantly reduce the transformation errors and the overall measurement errors. The proposed method provides a valuable way for industries to improve the performance of automatic measurement of laser tracker measurement networks in real environment.
期刊介绍:
Precision Engineering - Journal of the International Societies for Precision Engineering and Nanotechnology is devoted to the multidisciplinary study and practice of high accuracy engineering, metrology, and manufacturing. The journal takes an integrated approach to all subjects related to research, design, manufacture, performance validation, and application of high precision machines, instruments, and components, including fundamental and applied research and development in manufacturing processes, fabrication technology, and advanced measurement science. The scope includes precision-engineered systems and supporting metrology over the full range of length scales, from atom-based nanotechnology and advanced lithographic technology to large-scale systems, including optical and radio telescopes and macrometrology.