Designing control and diagnosis for flexible manufacturing systems as a multi-agent system using blackboard and object Petri nets

When creating and setting up assistance to diagnosis, it is important to have the necessary means to analyse the physical systems in order to extract and formalize the various pieces of knowledge. Hence the idea of integrating in the SA-RT/OPN approach these two aspects; because representation is a pre-requisite for the solution, our approach constitutes a real guide for information and knowledge analysis and representation. The main idea is that the use of this information and its organisation lead to strategies which may be the base for the diagnosis of an industrial system. The final implementation of the control/monitoring, and in particular the diagnosis, is conceived as a multi-agent system exploiting knowledge modelled by the blackboard