The development in the field of multi-agent systems used in the industrial distributed control systems has demonstrated the possibility of flexibility, fault tolerance and integration. It was shown that using ontologies for explicit description of the world has many advantages, including easier integration and extensibility. However, any more complex system, including multi-agent system, needs visualization for its easier development, debugging and monitoring. The fact that the knowledge in the system is expressed in a standardized semantic way contributes to the possibility of providing a uniform view on the system as a whole as well as on the individual agents. In this paper we describe and discuss possibilities of visualization of the state of the industrial control system based on ontologies. We demonstrate the visualization possibilities on the MAST system.
Model-driven engineering (MDE) provides tools and methods for the manipulation of formal models. In this letter, we leverage MDE for the transformation of production system models into flat files that are understood by general purpose planning tools and that enable the computation of "plans", i.e., sequences of production steps that are required to reach certain production goals. These plans are then merged back into the production system model, thus enriching the formalized production system knowledge.Index Terms-AI-based methods, factory automation, intelligent and flexible manufacturing.
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