自动化装配中的精度控制技术研究 -电气工程及其自动化专业

摘要

随着制造业向智能化、精密化方向发展，自动化装配在提高生产效率和产品质量方面发挥着不可替代的作用，然而装配精度控制面临诸多挑战。为此，本研究聚焦于自动化装配中的精度控制技术，旨在探索提升装配精度的有效方法。通过分析现有精度控制技术的局限性，结合现代传感技术、智能算法等多学科知识，提出一种基于机器视觉与深度学习融合的精度控制新方法。该方法利用机器视觉获取装配过程中的关键信息，借助深度学习强大的数据处理能力进行误差预测与补偿。实验结果表明，相较于传统方法，所提方法能够显著提高装配精度，使装配误差降低约30%，且具有良好的稳定性和适应性。这一成果不仅为解决复杂工况下的装配精度控制问题提供了新的思路，而且有助于推动自动化装配技术向更高水平发展，在精密制造领域有着广阔的应用前景，对促进制造业转型升级具有重要意义。

关键词：自动化装配精度控制机器视觉深度学习

Abstract

With the advancement of manufacturing towards intelligent and precision-oriented production, automated assembly plays an indispensable role in enhancing production efficiency and product quality. However, precision control in assembly processes faces numerous challenges. This study focuses on precision control technologies in automated assembly, aiming to explore effective methods for improving assembly accuracy. By analyzing the limitations of existing precision control techniques and integrating multidisciplinary knowledge including modern sensing technologies and intelligent algorithms, a novel precision control method based on the fusion of machine vision and deep learning is proposed. This method utilizes machine vision to acquire critical information during the assembly process and leverages the powerful data processing capabilities of deep learning for error prediction and compensation. Experimental results demonstrate that, compared with traditional methods, the proposed approach significantly improves assembly accuracy, reducing assembly errors by approximately 30%, while exhibiting excellent stability and adaptability. This achievement not only provides new insights into solving precision control problems under complex working conditions but also promotes the development of automated assembly technology to a higher level, offering broad application prospects in precision manufacturing and contributing significantly to the transformation and upgrading of the manufacturing industry.

Keyword:Automated assembly Precision control machine vision Deep learning

1绪论 1

1.1自动化装配精度控制的背景与意义 1

1.2精度控制技术的研究现状综述 1

1.3本文研究方法与创新点 2

2精度控制的关键影响因素 2

2.1装配系统误差来源分析 2

2.2环境因素对精度的影响 3

2.3材料特性与精度的关系 3

3精度控制技术体系构建 4

3.1测量与检测技术应用 4

3.2校准与补偿技术研究 4