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机械自动化系统的能效优化策略与方法研究

          



摘    要


  随着工业4.0的推进,机械自动化系统的能效优化成为制造业转型升级的关键。本文聚焦于机械自动化系统在实际运行中的能源消耗问题,旨在通过系统性研究提出有效的能效优化策略与方法。通过对国内外相关文献的梳理及对典型工业场景的调研,发现现有系统普遍存在能耗高、效率低的问题,亟需从系统层面进行优化设计。本文构建了基于多物理场耦合的能效分析模型,提出了涵盖设备选型、工艺流程优化、智能控制算法等在内的综合优化框架。创新性地引入了机器学习算法对系统运行参数进行实时预测与调整,研究成果不仅填补了机械自动化领域能效优化的理论空白,也为推动智能制造发展提供了切实可行的技术手段,具有重要的学术价值和应用前景。


关键词:机械自动化系统  能效优化  多物理场耦合




Abstract

  With the advancement of Industry 4.0, the energy efficiency optimization of mechanical automation systems has become the key to the transformation and upgrading of the manufacturing industry. This paper focuses on the energy consumption of mechanical automation system in actual operation, aiming to propose effective energy efficiency optimization strategies and methods through systematic research. Through the review of relevant literature at home and abroad and the investigation of typical industrial scenarios, it is found that the existing system generally has the problems of high energy consumption and low efficiency, and it is urgent to optimize the design from the system level. In this paper, an energy efficiency analysis model based on multi-physics coupling is constructed, and a comprehensive optimization fr amework including equipment selection, process optimization and intelligent control algorithm is proposed. The machine learning algorithm is innovatively introduced to predict and adjust the operating parameters of the system in real time. The research results not only fill the theoretical gap of energy efficiency optimization in the field of mechanical automation, but also provide practical technical means for promoting the development of intelligent manufacturing, which has important academic value and application prospects.


Keyword:Mechanical Automation System  Energy Efficiency Optimization  Multi-Physics Coupling




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

2机械自动化系统的能耗分析 1

2.1系统能耗构成要素解析 2

2.2能耗数据采集与监测方法 2

2.3典型机械自动化设备能耗特征 3

3能效优化的关键技术研究 3

3.1智能控制算法的应用 3

3.2高效传动系统设计 4

3.3精准运动控制策略 4

3.4能量回收与再利用技术 5

4综合能效优化方案构建 5

4.1系统级能效评估模型 5

4.2多目标优化决策方法 6

4.3实施路径与案例分析 7

结论 7

参考文献 9

致谢 10

 

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