Ontological knowledge base on physical and technical effects for optimization of technological processes

This article discusses the design of the knowledge base of physical phenomena and effects based on domain-specific ontology. To describe energy-information model of circuits of different physical nature, it is proposed to use ontology of the model of energy-information method of circuits that defines the concepts of this model (circuit of a certain physical nature, size, options, interchain physical effects, criteria of energy-information method of circuits) and the ontology of physical effects, which describes the classification of physical effects and shows the correspondence between the variables and the parameters of energy-information method of circuits, physical quantities and constants. This knowledge base is based on the structured representation of each physical effect that presented in the form of the passport of the physical phenomena and the morphological matrix of the structural implementation of the phenomena. The classification of various physical phenomena in the knowledge base is based on energy-information model of circuits, suggested by the authors, which is specially aimed at design of new operating principles of sensing elements (sensors). The mechanisms of transformation of the known physical dependencies into the strictly defined form of the relationship between the analogue values of the energy-information model of circuits are described. This knowledge base can be used to teach future engineers creating new sensors. The algorithm that allows performing the transformation of the known in physics formulas to the form adopted in energy-information method of circuits is presented. The structure of the generalized architecture of the subsystem for working with ontologies, which is a framework for working with them, is developed. It is fully consistent with the structural specification of OWL 2 and is supported by the main machine output (CEL, FaCT++, HermiT, Pellet, Racer Pro). The input has a list of the interpreted variables, i. e. references to instances of the ontology. The results of the service execution are identifiers of the formulas.