The project BatMAS introduces a multi-agent approach based on an ontology as knowledge-source for realising an innovative batch process automation system to overcome limitations of the state-of-the-art solutions. The semantic information model in the form of the ontology represents an extensive data source for solving common interoperability problems between various functions of such an automation system. Automatic software configuration mechanisms are introduced, which allow the system to dynamically create its control software autonomously during system startup. The integration of scheduling and rescheduling mechanisms enables the agent system to dynamically allocate jobs to the physical resources of a process plant based on the current workload. Finally, a trial application on a laboratory process plant shall be used for validating and evaluating the proposed approach.
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