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A Hybrid Peer-to-Peer Architecture for Agent-Based Steel Manufacturing Processes

机译:用于基于代理的钢制造工艺的混合对等架构

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The new generation of steel manufacturing processes shaped by Industry 4.0 are more digitalized, networked, flexible and adaptable. Production processes use distributed information and communication structures, are more autonomous and capable to react to dynamic changings of the environment. Agent-based systems represent a paradigm, which is well suited to address these new generation of smart processes. The paper presents a hybrid peer-to-peer architecture for agent-based steel production processes. The architecture exploits a central database server for storing and retrieving updated information from peers about a cold rolling manufacturing process. The cold rolling process is modeled as a multi-agent system composed of four types of autonomous agents, each playing a different role in the steel production chain. Agents are designed to take autonomous decisions, and to coordinate and collaborate with each other, by ensuring the dynamic plant resources allocation even if unforeseen interruptions of the production flow may happen. The proposed approach is designed for the steel strip manufacturing process but can be easily readapted to any flat production process. The test of the design multi-agent system with the proposed architecture is supported though the simulation of the dynamic plant resources allocation under changing dynamic conditions.
机译:由工业4.0塑造的新一代钢制造工艺更为数字化,网络,灵活,适应。生产过程使用分布式信息和通信结构,更自主,能够对环境的动态改变作出反应。基于代理的系统代表了一个范例,非常适合解决这些新一代的智能进程。本文提出了一种用于基于代理的钢铁生产过程的混合对等体系结构。该架构利用中央数据库服务器来存储和检索关于冷轧制造过程的对等体的更新信息。冷轧工艺被建模为由四种类型的自主代理组成的多助剂系统,每种类型在钢铁生产链中发挥不同作用。代理人旨在采取自主决策,并通过确保生产流程的不可预见的中断即使产生动态植物资源分配,互相协调和协作。所提出的方法是为钢带制造过程设计的,但可以容易地重新进入任何扁平的生产过程。支持设计多智能体系与所提出的架构的测试,尽管在改变动态条件下的动态工厂资源分配的模拟。

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