A precedent approach to evaluating a lightning impact on a street lighting system using the ontologies

The paper considers the possibility of improving the energy efficiency and energy security of street lighting systems under conditions of direct and indirect electromagnetic effects of atmospheric electricity and lightning discharges based on the development and use of an intelligent decision support system. A case-based approach is used as a research method with the representation of knowledge in the form of ontologies. This approach provides the possibility of forming decisions based on knowledge of similar situations that have taken place before, which allows working in open, dynamic, poorly formalized subject areas, where uncertainty can be of an improbable nature. Ontological models provide the possibility of applying a case-based approach in the absence of the necessary amount of statistical information for decision making by representing knowledge in the form of a hierarchy of conceptual terms of a given subject area and a set of relationships. The paper proposes an ontology of the subject area that describes an artificial thundercloud. It is used to identify patterns in information arrays in the integrated management of the processes of energy supply and energy security of street lighting systems under conditions of a different spectrum of electromagnetic effects of atmospheric electricity and lightning. There is a developed algorithm for generating decisions on managing the elements of the specified system using a case-based approach and ontology: its distinctive feature is the possibility of forming quantitative solutions, adapting to the current situation the results of previously implemented and described in a linguistic form situations when managing elements of street lighting systems. The developed model and algorithm were implemented in the form of an intelligent decision support system focused on automating the process of managing these systems, the use of which in practice allows increasing the efficiency, validity and effectiveness of decisions made.