Research on the influence of background light on the accuracy of a three-dimensional coordinate measurement system based on dual-PSD. Issue 1 (18th June 2020)

• Record Type: Journal Article
• Authors: Lu, Xiaohong; Zhou, Yu; Qiao, Jinhui; Luan, Yihan; Wang, Yongquan
• Is Part Of: Engineering computations. Volume 38:Issue 1(2021)
• Page Start: 242
• Page End: 265
• Publication Date: 2020-06-18
• Subjects: PSD -- Background light -- MEA-BP neural network -- Three-dimensional coordinate measurement; Computer-aided engineering -- Periodicals; Computer graphics -- Periodicals; 620.00285
• DOI: 10.1108/EC-02-2020-0081
• Languages: English
• ISSNs: 0264-4401

Abstract

Abstract : Purpose: The purpose of this paper is to analyze the measurement error of a three-dimensional coordinate measurement system based on dual-position-sensitive detector (PSD) under different background light. Design/methodology/approach: The mind evolutionary algorithm (MEA)-back propagation (BP) neural network is used to predict the three-dimensional coordinates of the points, and the influence of the background light on the measurement accuracy of the three-dimensional coordinates based on PSD is obtained. Findings: The influence of the background light on the measurement accuracy of the system is quantitatively calculated. The background light has a significant influence on the prediction accuracy of the three-dimensional coordinate measurement system. The optical method, electrical method and photoelectric compensation method are proposed to improve the measurement accuracy. Originality/value: BP neural network based on MEA is applied to the coordinate prediction of the three-dimensional coordinate measurement system based on dual-PSD, and the influence of background light on the measurement accuracy is quantitatively analyzed.