代理引导操作员识别时间序列

H. Shimakawa, Y. Sugitani, K. Kikkawa, T. Watanabe
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引用次数: 2

摘要

提出了一种实用的分布式人工智能(AI)系统,用于指导炼钢镀锌车间的作业。该系统包括三个自主代理进行引导。每个代理以分配给它的任务的适当形式记录每一刻采样的数据。这些数据对应于被监视实体的状态。每个agent不仅可以识别当前状态,还可以识别时间过程中的状态转换,以选择工厂运行的最佳时刻。在一个真实工厂的实验证明,工厂运行支持系统可以像一个有经验的操作员一样指导工厂运行。
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Agents to guide operators with recognition of time series
A practical distributed artificial intelligence (AI) system is proposed for the guidance of plant operations in a steel galvanizing plant. The system includes three autonomous agents for guidance. Each agent records data sampled every moment in an appropriate form for a task assigned to it. The data correspond to states of a monitored entity. Each agent recognizes not only a current state but also a state transition in the course of time to select the best moment for a plant operation. An experiment in a real plant has proved that the plant-operation-supporting system can guide plant operations in much the same way as an experienced operator.<>
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