摘 要
随着工业4.0的推进，制造业正经历深刻变革，工业互联网成为推动智能制造发展的重要引擎。本研究聚焦于基于工业互联网的自动化装配系统集成，旨在解决传统装配系统中存在的信息孤岛、生产效率低下等问题。通过构建一个涵盖设备层、网络层、平台层和应用层的四层架构模型，实现了从底层设备到上层应用的全面互联互通。采用边缘计算与云计算协同机制，确保数据处理的实时性和高效性；引入数字孪生技术，建立虚拟装配环境与物理装配系统的双向映射关系，实现对装配过程的精准模拟与优化控制。研究开发了适用于多品种小批量生产的柔性装配解决方案，创新性地提出了基于规则引擎的任务调度算法，有效提高了装配效率和产品质量。实验结果表明，该系统能够显著缩短产品上市周期，降低生产成本约15%，提高装配精度达98%以上。
关键词：工业互联网 自动化装配系统 数字孪生
Abstract
With the advancement of Industry 4.0, the manufacturing sector is undergoing profound transformations, and the Industrial Internet has become a critical driver for the development of smart manufacturing. This study focuses on the integration of automated assembly systems based on the Industrial Internet, aiming to address issues such as information silos and low production efficiency in traditional assembly systems. By constructing a four-layer architecture model encompassing the device layer, network layer, platform layer, and application layer, comprehensive interconnectivity from the bottom-level devices to the top-level applications has been achieved. The synergy between edge computing and cloud computing ensures real-time and efficient data processing; the introduction of digital twin technology establishes a bidirectional mapping relationship between the virtual assembly environment and the physical assembly system, enabling precise simulation and optimized control of the assembly process. A flexible assembly solution suitable for multi-variety small-batch production has been developed, innovatively proposing a rule-engine-based task scheduling algorithm that effectively enhances assembly efficiency and product quality. Experimental results indicate that this system can significantly shorten the product-to-market cycle, reduce production costs by approximately 15%, and improve assembly accuracy to over 98%.
Keyword:Industrial Internet Automated Assembly System Digital Twin
目 录
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工业互联网架构分析 2
2.1工业互联网体系结构 2
2.2关键技术及应用模式 3
2.3数据传输与信息安全 3
3自动化装配系统设计 4
3.1系统需求分析 4
3.2关键设备选型 4
3.3控制策略制定 5
4系统集成与优化方案 6
4.1集成框架构建 6
4.2信息交互机制 6
4.3性能优化措施 7
结论 7
参考文献 9
致谢 10
