基于机器视觉的液压阀组装配精度提升方法

Methods for Improving the Assembly Accuracy of Hydraulic Valve Group Based on Machine Vision

针对液压阀组装配精度提升的现有挑战,本文提出了一种基于机器视觉的优化方法。传统的装配方式精度受限,容易出现较大误差,而该方法通过优化设计图像采集系统和多点位的误差检测,突破了精度限制。具体方法包括利用高分辨率相机和三维点云技术对装配过程进行实时监控和误差校正,同时通过协同机械手的运动控制,实现自动化精准装配。此外,文章引入了误差补偿与动态优化算法,进一步提升装配精度。实验结果显示,相较于传统装配方法,机器视觉系统将装配误差控制在0.01mm以内,稳定性与精确性均大幅提升。

In order to solve the existing challenges of improving the assembly accuracy of hydraulic valve manifolds,this paper proposes an optimization method based on machine vision.The traditional assembly method has limited accuracy and is prone to large errors,but this method breaks through the accuracy limitation by optimizing the design of the image acquisition system and multi-point error detection.This includes real-time monitoring and error correction of the assembly process using high-resolution cameras and 3D point cloud technology,as well as automated and precise assembly through collaborative robotic motion control.In addition,error compensation and dynamic optimization algorithms are introduced to further improve the assembly accuracy.The experimental results show that compared with the traditional assembly method,the machine vision system controls the assembly error within 0.01mm,and the stability and accuracy are greatly improved.