摘要
随着工业4.0的深入推进，智能工厂成为制造业转型升级的重要方向，而物料搬运系统作为智能工厂的核心组成部分，直接影响生产效率与成本控制。本研究旨在设计并优化适用于智能工厂环境下的物料搬运系统，以提升物流运作效率和柔性化水平。为此，研究结合实际需求构建了基于物联网、人工智能和大数据分析的集成化物料搬运框架，并提出了一种多目标优化算法用于路径规划与资源调度。通过模拟仿真与实验验证，结果表明所设计的系统能够显著降低物料搬运时间，减少设备闲置率，并在动态环境中展现出较强的适应能力。此外，本研究创新性地引入了实时数据驱动的预测模型，实现了对物料需求的精准预判，从而进一步优化了系统的整体性能。最终结论显示，该物料搬运系统不仅满足了智能工厂对高效、灵活物流管理的要求，还为未来智能化制造提供了可借鉴的技术方案，具有重要的理论价值与实践意义。
关键词：智能工厂；物料搬运系统；多目标优化；实时数据驱动；路径规划
Abstract
With the deepening of Industry 4.0, smart factories have become a crucial direction for the transformation and upgrading of manufacturing, where material handling systems, as a core component, directly impact production efficiency and cost control. This study aims to design and optimize a material handling system tailored for smart factory environments to enhance logistics operation efficiency and flexibility. To achieve this, an integrated material handling fr amework based on the Internet of Things, artificial intelligence, and big data analytics was constructed in accordance with practical requirements, and a multi-ob jective optimization algorithm was proposed for path planning and resource scheduling. Simulation and experimental validation demonstrated that the designed system significantly reduces material handling time and equipment idling rates while exhibiting strong adaptability in dynamic environments. Additionally, this research innovatively incorporates a real-time data-driven predictive model to accurately forecast material demands, further optimizing the overall system performance. The final conclusion indicates that the material handling system not only fulfills the requirements of smart factories for efficient and flexible logistics management but also provides a referable technical solution for future intelligent manufacturing, showcasing significant theoretical value and practical implications.
Keywords：Smart Factory; Material Handling System; Multi-ob jective Optimization; Real-Time Data-Driven; Path Planning
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能工厂与物料搬运系统背景 1
(二) 物料搬运系统设计与优化的研究现状 1
(三) 本文研究方法与技术路线 2
二、智能工厂中物料搬运系统的需求分析 2
(一) 智能工厂对物料搬运的核心需求 2
(二) 物料搬运系统的功能需求分解 3
(三) 系统设计的约束条件与挑战 3
三、物料搬运系统的设计方案 4
(一) 系统架构设计与模块划分 4
(二) 关键设备选型与布局规划 4
(三) 数据流与信息集成设计 5
四、物料搬运系统的优化策略 6
(一) 系统性能评估指标体系构建 6
(二) 基于仿真技术的优化方法研究 6
(三) 实时调度与路径优化算法设计 7
结 论 8
参考文献 9
