Abstract
The automation of plants in the process industry, especially of modular process plants, is shifting towards a more decentralized and service-based paradigm. Required and offered services need to be described in such a way that they can be either easily described by plant operators and module vendors. This two-sided problem requires a semantic description of needed functionalities from intentions and abstraction of existing services onto offered functionalities. In this contribution, the authors present two algorithms for the modeling and derivation of functionalities from intentions and services in modular automation. The algorithms are based on the idea of functional reasoning which support the explanation and derivation of functions in a system. By using various ontologies, the approach builds upon semantic descriptions and exploits query- and rule-based languages to support the retrieval of functionalities.
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