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

被引:0
|
作者
Yang, Shuo [1 ]
Yang, Linghui [1 ]
Wu, Tengfei [1 ]
Shi, Shendong [1 ]
Ma, Luyao [1 ]
Zhu, Jigui [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrumen, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
SCALE DIMENSIONAL METROLOGY; SYSTEMS; TECHNOLOGIES;
D O I
10.1364/AO.520571
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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. (c) 2024 Optica Publishing Group
引用
收藏
页码:3547 / 3556
页数:10
相关论文
共 50 条
  • [21] Abnomaly detection of distributed photovoltaic array based on joint learning of multi-station array power
    Su Y.
    Zuo Y.
    Jin J.
    Zhang H.
    Xie X.
    Ren T.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (07): : 2149 - 2161
  • [22] Global registration method for multi-station point clouds based on the bündle adjustment method
    Mao, Qingzhou
    Xia, Mengxuan
    Li, Qingquan
    Zhu, Jing
    Fan, Tingli
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2024, 53 (09): : 1663 - 1670
  • [23] The Multi-Station Fusion-Based Radiation Source Localization Method Based on Spectrum Energy
    He, Guojin
    Hao, Yulong
    Xie, Yaocong
    SENSORS, 2025, 25 (05)
  • [24] Spatial positioning method based on range-only measurement of multi-station radar
    Pan, Jianghuai
    HELIYON, 2024, 10 (15)
  • [25] Calibration Method for Angular Positioning Deviation of a High-Precision Rotary Table Based on the Laser Tracer Multi-Station Measurement System
    Chen, Hongfang
    Jiang, Bo
    Lin, Hu
    Zhang, Shuang
    Shi, Zhaoyao
    Song, Huixu
    Sun, Yanqiang
    APPLIED SCIENCES-BASEL, 2019, 9 (16):
  • [26] Observability Analysis Method For Multi-station Orbit Estimation System Based On Condition Numbers
    Chen, Shuai
    Liao, Yurong
    Li, Chunyue
    Yang, Xinyan
    FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION, 2018, 10697
  • [27] Multi-station Joint Runoff Forecasting Using Graph Neural Network Coupled with Spatial Connectivity of Hydrological Stations
    Wang, Qi
    Zhu, Shuang
    MATHEMATICAL GEOSCIENCES, 2024,
  • [28] A method for improving coordinate transformation accuracy of multi-station visual measurement systems in large-scale measurement
    Guo, Ronghui
    Cui, Haihua
    Gao, Yu
    Ge, Xinxin
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (04)
  • [29] Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network
    He, Yihai
    Gu, Changchao
    Han, Xiao
    Cui, Jiaming
    Chen, Zhaoxiang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2017, 231 (06) : 701 - 715
  • [30] A Multi-Station Troposphere Modelling Method Based on Error Compensation Considering the Influence of Height Factor
    Zhao, Qing
    Pan, Shuguo
    Gao, Chengfa
    Qiao, Longlei
    Gao, Wang
    Zhang, Ruicheng
    Liu, Guoliang
    JOURNAL OF NAVIGATION, 2021, 74 (01): : 38 - 59