The research of multiple sensor fusion in large scale measurement

doi:null

您当前的位置：

首页 >

文章列表页 >

The research of multiple sensor fusion in large scale measurement

Article | 更新时间：2020-08-12

- The research of multiple sensor fusion in large scale measurement
- Optics and Precision Engineering Vol. 16, Issue 7, Pages: 1236-1240(2008)
- 作者机构：
  
  天津大学精密测试技术及仪器国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：27 November 2007，
  
  Revised：04 January 2008，
  
  Published Online：25 July 2008，
  
  Published：25 July 2008
- 稿件说明：
移动端阅览
张福民,曲兴华,叶声华. 大尺寸测量中多传感器融合的研究[J]. 光学精密工程, 2008,16(7):1236-1240

The research of multiple sensor fusion in large scale measurement[J]. Optics and precision engineering, 2008, 16(7): 1236-1240.
张福民,曲兴华,叶声华. 大尺寸测量中多传感器融合的研究[J]. 光学精密工程, 2008,16(7):1236-1240 DOI：

The research of multiple sensor fusion in large scale measurement[J]. Optics and precision engineering, 2008, 16(7): 1236-1240. DOI：

摘要

大型工件几何量测量中，常采用多测量站形成测量网，既扩大测量范围，又提高冗余性。以基于奇异值分解的解析形式做多测量站的空间数据配准，再按矩阵加权线性最小方差最优融合准则，对多测量站的测量数据相互融合。从理论和仿真实验验证了融合规则的有效性，证明融合精度优于各局部精度，并实际应用于隧道构件的测量网络中。

Abstract

The multiple measuring stations are always used to form measuring net in the geometric measurement of large scale workpieces. This method not only extends measuring bound

but also enhancing the redundancy. The spatial data registration of multiple measuring stations is based on singular value decompose

and then the data is fused by the optimum fusion criterion of matrix weighting linearity minimum variance. The validity of fusion criterion is proved by theory and simulation test

showing that the fusion precision is superior to each partial precision. The criterion has been applied to measuring net in tunnel component.

关键词

Keywords

references

Views

154

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

High-precision attitude measurement with active aiming composite sensing for laser tracker

Shafting design and dynamic deformation error correction of two-dimensional laser tracking turntable

Calibration and correction of geometric errors in laser tracker

Automatic attitude measurement of laser tracker based on deep learning and PnP model

Fast calibration method of robot tool coordinate

Related Author

CHENG Zhi

DONG Dengfeng

LI Yang

QIU Qifan

WANG Jianguo

HUO Hanlin

HUANG Yunpeng

ZHOU Weihu

Related Institution

College of Automation Engineering， Nanjing University of Aeronautics and Astronautics

University of Chinese Academy of Sciences

Institute of Microelectronics， Chinese Academy of Sciences

School of Optoelectronic Engineering ，Changchun University of Science and Technology

Institute of Microelectronics of the Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰