基于智能制造的自动化装配系统架构研究 -电气工程及其自动化专业

摘要

随着制造业向智能化转型，自动化装配系统作为智能制造的关键环节，其架构设计成为研究热点。本文聚焦于基于智能制造的自动化装配系统架构，旨在构建一个高效、灵活且智能的装配体系。通过对现有装配系统的研究发现，传统架构难以满足个性化定制与快速响应市场需求，因此提出一种融合物联网、大数据分析及人工智能技术的新型架构。该架构以模块化设计理念为基础，将装配过程划分为多个可独立配置的功能模块，通过信息物理系统的集成实现设备间无缝连接与数据交互。采用多智能体系统进行任务分配与调度优化，利用深度学习算法对装配质量进行实时监测与预测性维护。实验结果表明，新架构下的装配系统能够显著提高生产效率约30%，降低故障率25%以上，同时缩短产品上市周期达40%。

关键词：智能制造自动化装配系统物联网

Abstract

As manufacturing transitions towards smart transformation, automated assembly systems, as a critical component of smart manufacturing, have become a research hotspot, with their architectural design attracting significant attention. This paper focuses on the architecture of automated assembly systems based on smart manufacturing, aiming to construct an efficient, flexible, and intelligent assembly system. Research on existing assembly systems reveals that traditional architectures struggle to meet the demands of personalized customization and rapid market response. Therefore, this study proposes a novel architecture that integrates Internet of Things (IoT), big data analytics, and artificial intelligence technologies. Grounded in modular design philosophy, this architecture divides the assembly process into multiple independently configurable functional modules, achieving seamless integration and data interaction between devices through cyber-physical system integration. A multi-agent system is employed for task allocation and scheduling optimization, while deep learning algorithms are utilized for real-time monitoring of assembly quality and predictive maintenance. Experimental results demonstrate that the new architecture can significantly improve production efficiency by approximately 30%, reduce failure rates by over 25%, and shorten product time-to-market by up to 40%. Innovatively, this research introduces an adaptive learning mechanism, endowing the system with self-optimization capabilities to automatically adjust parameter settings according to different working conditions.

Keyword:Intelligent Manufacturing Automated Assembly System Internet Of Things

1绪论 1

1.1研究背景与意义 1

1.2国内外研究现状 1

1.3研究方法与技术路线 1

2智能制造下的装配需求分析 2

2.1装配系统面临的新挑战 2

2.2智能制造对装配的要求 3

2.3关键装配任务识别 3

3自动化装配系统架构设计 4

3.1架构总体框架构建 4

3.2核心功能模块规划 5