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Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor

机译:基于agent和网络物理系统的自组织和自适应智能车间

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摘要

The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities.
机译:定制生产需求的增长对传统制造系统提出了巨大挑战。为了根据生产需求及时分配资源,减少干扰,提出了未来智能车间的框架。该框架由三个主要模型组成,即智能机器代理模型,自组织模型和自适应模型。开发了一种基于多智能体技术的车间生产电子物理系统,以实现上述功能模型。应用灰色关联分析和层次冲突解决方法实现了自组织和自适应能力,从而提高了车间的可重构性和响应能力。开发了一个原型系统,该系统具有足够的灵活性和鲁棒性,可以配置资源并有效地处理干扰。该研究为设计具有异常处理能力的自治工厂提供了一种可行的方法。

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