Nadezhda V. Bendik, Marina N. Polkovskaya

Irkutsk State Agricultural University named after A.A. Ezhevsky,

The article is devoted to the development of an otological data model for assessing the frequency of failures of electrical network elements. The model includes hierarchically ordered classes that characterize emergency shutdowns in detail, as well as various parameters of monitored objects; log of emergency shutdowns; substations; voltage; mathematical models for probabilistic estimation and forecasting, etc. The resulting ontology makes it possible to analyze the causes and duration of emergency shutdowns, power losses, identify in-row relationships, determine regression dependencies, and predict failures using various models. The created ontological data model is focused on the networks of the city of Irkutsk, but it can also be used for networks of other settlements. Based on the developed ontological model, an infological model was built, which is implemented in the database of the information system for assessing the repeatability of failures of electrical network elements. With the help of the implemented information system, it is possible to carry out a probabilistic assessment and prediction of the number of failures of electrical network elements using various models.

electrical network, ontological model, emergency shutdown, class