摘 要
随着工业4.0的深入推进，柔性自动化生产线成为现代制造业转型升级的重要方向，而机电一体化技术作为实现其高效、智能运行的核心手段，日益受到广泛关注本研究以机电一体化技术在柔性自动化生产线中的应用为切入点，旨在探讨其关键技术原理、实施路径及优化策略通过对典型柔性生产线的实际案例分析，结合传感器网络、伺服控制、可编程逻辑控制器（PLC）以及工业机器人等核心组件的功能特性，构建了一套集成化、模块化的系统架构该架构能够有效提升生产线的自适应能力与动态调整效率研究结果表明，基于机电一体化技术的柔性自动化生产线不仅显著提高了生产效率和产品质量，还大幅降低了能耗与运营成本此外，通过引入人工智能算法与大数据分析技术，进一步增强了系统的预测性维护能力和智能化决策水平本研究的创新点在于提出了一种融合多源数据感知与实时反馈控制的协同优化方法，为解决复杂工况下的动态调度问题提供了新思路总体而言，机电一体化技术的应用为柔性自动化生产线的发展注入了强大动力，其研究成果对推动智能制造技术进步具有重要意义关键词：柔性自动化生产线；机电一体化技术；传感器网络与伺服控制；人工智能算法优化；动态调度与协同优化
Abstract
With the deepening of Industry 4.0, flexible automated production lines have become a critical direction for the transformation and upgrading of modern manufacturing. As a core means to achieve efficient and intelligent operation, mechatronics technology has garnered increasing attention. This study focuses on the application of mechatronics technology in flexible automated production lines, aiming to explore its key technical principles, implementation pathways, and optimization strategies. Through case analysis of typical flexible production lines, combined with the functional characteristics of core components such as sensor networks, servo control systems, programmable logic controllers (PLCs), and industrial robots, an integrated and modular system architecture was developed. This architecture effectively enhances the self-adaptability and dynamic adjustment efficiency of production lines. The results indicate that flexible automated production lines based on mechatronics technology not only significantly improve production efficiency and product quality but also substantially reduce energy consumption and operational costs. Furthermore, the introduction of artificial intelligence algorithms and big data analytics further strengthens the system's predictive maintenance capabilities and intelligent decision-making level. The innovation of this study lies in proposing a collaborative optimization method that integrates multi-source data perception with real-time feedback control, offering new insights into solving dynamic scheduling problems under complex working conditions. Overall, the application of mechatronics technology injects strong momentum into the development of flexible automated production lines, and its research findings hold significant implications for advancing smart manufacturing technologies..
Key Words：Flexible Automation Production Line；Mechatronics Technology；Sensor Network And Servo Control；Artificial Intelligence Algorithm Optimization；Dynamic Scheduling And Collaborative Optimization
目 录
摘 要 I
Abstract II
第1章 绪论 1
1.1 机电一体化技术的发展背景 1
1.2 柔性自动化生产线的应用意义 1
1.3 国内外研究现状分析 2
1.4 本文研究方法与技术路线 2
第2章 机电一体化技术在柔性生产线中的基础理论 3
2.1 柔性自动化生产线的基本概念 3
2.2 机电一体化技术的核心构成 3
2.3 关键技术在柔性生产中的作用 4
2.4 数据驱动的生产优化模型 4
2.5 理论框架对实际应用的指导 5
第3章 机电一体化技术在柔性生产线中的关键实现 6
3.1 控制系统的设计与集成 6
3.2 传感器网络的构建与应用 6
3.3 工业机器人在柔性生产中的功能扩展 7
3.4 数据采集与实时监控技术 7
3.5 生产线动态调度算法 8
第4章 机电一体化技术在柔性生产线中的实践案例分析 9
4.1 汽车制造中的应用实例 9
4.2 电子装配行业的实施效果 9
4.3 食品加工领域的技术适配 10
4.4 不同场景下的适应性评估 10
4.5 实践中面临的主要挑战 11
结 论 11
参考文献 13
致 谢 14
