A Functional and Behavioral Knowledge-based Implementation for Intelligent Sensors/Actuators

R. Dapoigny, P. Barlatier, L. Foulloy, and E. Benoit

As the complexity of industrial processes increases, it requires the use of intelligent sensors or actuators (known as Intelligent Instruments) to allow for more comprehensive and efficient behavior of the system to be monitored. These components achieve some global goal called a service through the use of a set of elementary actions (internal services). A challenging task in networked intelligent sensors/actuators, is to allow for automated interactions between arbitrary services on networked components. To resolve this task, two successive problems emerge, first the design of consistent control systems with appropriate knowledge and second the monitoring which concerns the dynamic behavior of such distributed control systems. In this paper, we focus on the first aspect and provide an implementation of a knowledge representation model where services can be structured and related via a mereo-topological approach. The domain ontologies include a system ontology which is application-dependent, a functional ontology which relies on teleology and a behavioral mereotopology extending the functional mereology. To support the behavior representation, we propose a GUI based on a modified existing formalism (DAML-S). We discuss the knowledge representations in depth and present the design supporting system centered on the mereo-topological approach for intelligent sensors and actuators

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