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.

中文翻译：

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背景光对基于双PSD的三维坐标测量系统精度的影响研究

目的

本文的目的是分析基于双位置敏感检测器（PSD）的三维坐标测量系统在不同背景光下的测量误差。

设计/方法/方法

利用思想进化算法（MEA）-后向传播（BP）神经网络预测点的三维坐标，并获得背景光对基于PSD的三维坐标测量精度的影响。

发现

定量计算了背景光对系统测量精度的影响。背景光对三维坐标测量系统的预测精度有重大影响。为了提高测量精度，提出了光学方法，电学方法和光电补偿方法。

创意/价值

将基于MEA的BP神经网络应用于基于双PSD的三维坐标测量系统的坐标预测，定量分析了背景光对测量精度的影响。