相关实验视频
Updated: Jul 13, 2025

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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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针对以人为中心的敏捷和智能制造的MAS4AI框架
Aleksandr Sidorenko1, William Motsch1, Michael van Bekkum2
1Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Kaiserslautern, Germany.
Frontiers in artificial intelligence
|October 16, 2023
概括
这项研究引入了一个多代理系统 (MAS),集成智能工人和人工智能,以实现弹性生产. 它增强了人机协作和在动态制造环境中的适应性.
科学领域:
- 工业工程 工业工程 工业工程
- 人工智能的人工智能
- 网络物理系统 网络物理系统
背景情况:
- 现代价值链需要适应性,弹性生产系统,以满足对定制,低批量产品的需求.
- 与人工智能 (AI) 结合的网络物理生产系统 (CPPS) 可以提高系统的弹性和响应能力.
- 现有的多代理解决方案在编排人工智能组件和整合人类决策方面面临挑战.
研究的目的:
- 为动态和可重新配置的生产范式提出一个多代理系统 (MAS).
- 在智能制造系统中加强人机集成和协作.
- 通过分散的代理互动,实现自主和合作的决策.
主要方法:
- 开发一个多代理系统 (MAS),其中软件代理与智能工人合作.
- 使用资产管理外 (AAS) 子模型用于机器可读的智能员工描述.
- 实现AAS用于系统集成,适应性和自我配置.
主要成果:
- 拟议的MAS促进了动态和可重新配置的生产环境.
- 资产管理外 (AAS) 允许系统组件的无集成和自我描述.
- 在共享组装任务中改进了人机集成,并支持插件和产品功能.
结论:
- MAS方法提高了生产系统的弹性和适应性.
- 对于互操作性和动态重新配置,AAS集成至关重要.
- 该系统在工业4.0环境中促进了高效的人机协作.
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