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An architecture for industrial automation based on intelligent agents

Abstract:

In this paper we present an architecture for industrial automation based on intelligent agents. The proposed architecture is formulated in order to down intelligence to inferior levels. This advantage is possible due to multiagent systems, which allow the implementation of interoperativity, heterogeneity and complexity dat the level of industrial automation. We design a hierarchical architecture with three layers: superior layer that implements the control and automation functionalities, the middleware layer designs to support superior layer activities and manages the communications from/to field devices (It satisfies the FIPA specifications), and the base layer composed by two subsystems: one to handle the communications among different sites, and other to give management services of agents. The middleware can support any multiagent system. We specify the architecture using the MASINA methodology in combination with UML. This specification contains the use case, the MASINA models and the class diagram of the system.