Abstract

In the measurement process of photoelectric scanning measurement network, the laser surface edge area has lower measurement accuracy than the middle area due to the geometrical distortions of the laser surface of the transmitter. This paper presents a sub-regional calibration method that can accomplish error compensation for the measurement system. Unlike the camera sub-regional calibration, the regional division and identification of the laser surface are more difficult. In this paper, the pitch angle in the transmitter coordinate frame of the spatial point was used as the basis for the division and identification of the laser surface. In the calibration process, the laser surface of the transmitter was divided into different regions and each region was calibrated independently, so that an intrinsic parameters database containing the intrinsic parameters of different regions could be established. Based on the database, the region identification and error compensation algorithm were designed, and comparison experiments were carried out. With the novel calibration method, the measurement accuracy of the system had an obvious upgrade, especially at the edges of the laser surface within a certain measurement area, which could enlarge the effective measurement area of the transmitter and would broaden and deepen the application fields of photoelectric scanning measurement network.

Highlights

  • Large-scale metrology, as an indispensable role for modern industry, is routinely used in large-scale equipment manufacturing industry and precision engineering

  • A novel intrinsic parameters calibration method that can accomplish error compensation for photoelectric scanning measurement network has been presented. This method uses the sub-regional calibration to establish the intrinsic parameters database and resolves the target values with error compensation based on the database

  • The calibration principle is expounded in detail, including the establishment of the corresponding coordinate frames and the sub-regional calibration

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Summary

Introduction

Large-scale metrology, as an indispensable role for modern industry, is routinely used in large-scale equipment manufacturing industry and precision engineering. Zhao et al [16] designed an automatic calibration method by using the laser tracker and the precise control network, which improved calibration efficiency and reduced manual error. In both existing methods, the laser surfaces were represented by plane equations. Based on the quadratic interpolation principle, the quadratic surface equation was used to represent the laser surface, and the corresponding calibration and measurement algorithms were designed [17] This method was computationally intensive, and its improvement in measurement accuracy was limited due to the existence of the Runge’s phenomenon.

The Establishment of the Corresponding Coordinate Frames
The Sub-regional Calibration Mechanism
The Sub-regional Calibration Algorithm
The Error Compensation Algorithm
Set-Up
The ranges of the measurement error1of the2 were respectively
The Sub-Regional Calibration
The initialc1intrinsic parameters
Conclusions
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