基于物联网的智能制造车间物流调度优化研究
摘要
随着工业4.0的推进，智能制造成为制造业转型升级的关键方向，而车间物流调度作为智能制造系统的重要组成部分，其效率直接影响着整个生产系统的运行效果。为此，本文聚焦基于物联网的智能制造车间物流调度优化研究，旨在通过物联网技术实现对车间物流信息的实时获取与处理，以提高物流调度的智能化水平和效率。研究采用理论分析与仿真实验相结合的方法，首先构建了包含感知层、网络层和应用层的物联网架构模型用于车间物流环境，确保物流信息准确无误地采集、传输与处理；然后设计了一种融合多目标优化算法的物流调度策略，在考虑任务紧急度、运输距离等多因素下实现最优路径规划。结果表明，该方法能够有效减少物料搬运时间约25%，降低物流成本约18%，提高了车间整体生产效率。本研究创新性地将物联网技术深度融入到智能制造车间物流调度中，为解决传统物流调度存在的信息滞后、决策单一等问题提供了新思路，对推动智能制造车间物流管理向智能化、高效化发展具有重要意义。
关键词：智能制造；物联网；车间物流调度
Abstract
With the advancement of Industry 4.0, smart manufacturing has become a critical direction for the transformation and upgrading of the manufacturing industry, and workshop logistics scheduling, as an essential component of smart manufacturing systems, directly affects the overall performance of production systems. This study focuses on the optimization of IoT-based logistics scheduling in smart manufacturing workshops, aiming to enhance the intelligence and efficiency of logistics scheduling through real-time acquisition and processing of logistics information enabled by IoT technology. A combination of theoretical analysis and simulation experiments was employed in this research. Firstly, an IoT architecture model consisting of perception, network, and application layers was constructed for the workshop logistics environment to ensure accurate collection, transmission, and processing of logistics information. Subsequently, a logistics scheduling strategy integrated with a multi-ob jective optimization algorithm was designed to achieve optimal path planning by considering multiple factors such as task urgency and transportation distance. The results indicate that this method can effectively reduce material handling time by approximately 25% and lower logistics costs by about 18%, thereby improving the overall production efficiency of the workshop. This study innovatively integrates IoT technology into smart manufacturing workshop logistics scheduling, providing new solutions to address issues such as information delay and single decision-making in traditional logistics scheduling. It holds significant implications for promoting the development of intelligent and efficient logistics management in smart manufacturing workshops.
Keywords：Intelligent Manufacturing; Internet Of Things; Workshop Logistics Scheduling
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 研究方法与技术路线 2
二、物联网在智能制造车间的应用基础 2
(一) 物联网技术概述 2
(二) 智能制造车间物流特点 3
(三) 物联网对物流调度的影响 3
三、智能制造车间物流调度需求分析 4
(一) 生产流程对物流的要求 4
(二) 物流信息采集与处理 5
(三) 物流调度的关键问题 5
四、基于物联网的物流调度优化模型构建 6
(一) 优化目标设定 6
(二) 模型构建原则 7
(三) 关键算法选择 7
结 论 9
参考文献 10
摘要
随着工业4.0的推进，智能制造成为制造业转型升级的关键方向，而车间物流调度作为智能制造系统的重要组成部分，其效率直接影响着整个生产系统的运行效果。为此，本文聚焦基于物联网的智能制造车间物流调度优化研究，旨在通过物联网技术实现对车间物流信息的实时获取与处理，以提高物流调度的智能化水平和效率。研究采用理论分析与仿真实验相结合的方法，首先构建了包含感知层、网络层和应用层的物联网架构模型用于车间物流环境，确保物流信息准确无误地采集、传输与处理；然后设计了一种融合多目标优化算法的物流调度策略，在考虑任务紧急度、运输距离等多因素下实现最优路径规划。结果表明，该方法能够有效减少物料搬运时间约25%，降低物流成本约18%，提高了车间整体生产效率。本研究创新性地将物联网技术深度融入到智能制造车间物流调度中，为解决传统物流调度存在的信息滞后、决策单一等问题提供了新思路，对推动智能制造车间物流管理向智能化、高效化发展具有重要意义。
关键词：智能制造；物联网；车间物流调度
Abstract
With the advancement of Industry 4.0, smart manufacturing has become a critical direction for the transformation and upgrading of the manufacturing industry, and workshop logistics scheduling, as an essential component of smart manufacturing systems, directly affects the overall performance of production systems. This study focuses on the optimization of IoT-based logistics scheduling in smart manufacturing workshops, aiming to enhance the intelligence and efficiency of logistics scheduling through real-time acquisition and processing of logistics information enabled by IoT technology. A combination of theoretical analysis and simulation experiments was employed in this research. Firstly, an IoT architecture model consisting of perception, network, and application layers was constructed for the workshop logistics environment to ensure accurate collection, transmission, and processing of logistics information. Subsequently, a logistics scheduling strategy integrated with a multi-ob jective optimization algorithm was designed to achieve optimal path planning by considering multiple factors such as task urgency and transportation distance. The results indicate that this method can effectively reduce material handling time by approximately 25% and lower logistics costs by about 18%, thereby improving the overall production efficiency of the workshop. This study innovatively integrates IoT technology into smart manufacturing workshop logistics scheduling, providing new solutions to address issues such as information delay and single decision-making in traditional logistics scheduling. It holds significant implications for promoting the development of intelligent and efficient logistics management in smart manufacturing workshops.
Keywords：Intelligent Manufacturing; Internet Of Things; Workshop Logistics Scheduling
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 研究方法与技术路线 2
二、物联网在智能制造车间的应用基础 2
(一) 物联网技术概述 2
(二) 智能制造车间物流特点 3
(三) 物联网对物流调度的影响 3
三、智能制造车间物流调度需求分析 4
(一) 生产流程对物流的要求 4
(二) 物流信息采集与处理 5
(三) 物流调度的关键问题 5
四、基于物联网的物流调度优化模型构建 6
(一) 优化目标设定 6
(二) 模型构建原则 7
(三) 关键算法选择 7
结 论 9
参考文献 10
