摘 要
随着工业4.0的深入推进，智能自动化生产线在提高生产效率和产品质量方面展现出显著优势，但其能源消耗问题也日益受到关注，如何实现高效、精准的能源管理成为亟待解决的关键课题为此，本文针对智能自动化生产线中的能源管理系统展开研究，旨在设计一种能够实时监测、优化分配并降低能耗的综合能源管理方案研究中采用多源数据融合技术与人工智能算法相结合的方法，通过构建生产线能耗预测模型和动态优化调度策略，实现了对生产线各环节能源消耗的精细化管理结果表明，该系统能够准确预测生产线的能耗变化趋势，并根据实际生产需求灵活调整能源分配方案，从而有效减少能源浪费同时，创新性地引入了基于边缘计算的分布式控制架构，大幅提升了系统的响应速度和稳定性此外，通过在某智能制造企业的实际应用验证，该系统成功将生产线整体能耗降低了15%，并在保证生产效率的同时显著改善了能源利用效率综上所述，本研究提出的能源管理系统不仅为智能自动化生产线提供了可靠的能源管理技术支持，还为推动绿色制造和可持续发展提供了新的思路和方法关键词：智能自动化生产线；能源管理系统；多源数据融合；能耗预测模型
Abstract
With the deepening of Industry 4.0, intelligent automated production lines have demonstrated significant advantages in improving production efficiency and product quality; however, their energy consumption issues are increasingly drawing attention. Achieving efficient and precise energy management has become a critical challenge that needs to be addressed. To this end, this study focuses on the energy management system in intelligent automated production lines, aiming to design an integrated energy management solution capable of real-time monitoring, optimized allocation, and reduced energy consumption. A method combining multi-source data fusion technology with artificial intelligence algorithms was adopted, constructing a production line energy consumption prediction model and dynamic optimization scheduling strategy to achieve refined energy consumption management across all stages of the production line. The results indicate that the system can accurately predict the trend of energy consumption changes in the production line and flexibly adjust the energy distribution scheme according to actual production requirements, effectively reducing energy waste. Additionally, an innovative edge-computing-based distributed control architecture was introduced, significantly enhancing the system's response speed and stability. Furthermore, practical application verification in a smart manufacturing enterprise demonstrated that the system successfully reduced the overall energy consumption of the production line by 15%, while substantially improving energy utilization efficiency without compromising production efficiency. In summary, the energy management system proposed in this study not only provides reliable technical support for energy management in intelligent automated production lines but also offers new insights and approaches for promoting green manufacturing and sustainable development..Key Words：Intelligent Automation Production Line；Energy Management System；Multi-Source Data Fusion；Energy Consumption Prediction Model
目 录
摘 要 I
Abstract II
第1章 绪论 1
1.1 智能自动化生产线的能源管理背景 1
1.2 能源管理系统设计的研究意义 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 能源管理系统需求分析 3
2.1 智能自动化生产线的特点与挑战 3
2.2 能源消耗的关键环节识别 3
2.3 系统功能需求定义 4
2.4 数据采集与监测需求分析 4
2.5 用户交互与反馈机制设计 5
第3章 能源管理系统的架构设计 6
3.1 系统总体架构规划 6
3.2 数据处理与存储方案设计 6
3.3 能耗优化算法的选择与实现 7
3.4 实时监控与预警机制构建 7
3.5 系统模块化设计原则 8
第4章 能源管理系统的实施与验证 9
4.1 系统原型开发与测试 9
4.2 实验环境与数据采集方案 9
4.3 能耗优化效果评估方法 10
4.4 实际案例分析与结果讨论 10
4.5 系统改进方向与未来展望 11
结 论 12
参考文献 13
致 谢 14
