Industrial Automatic Control Systems and Controllers Annotation << Back Modeling of Object Monitoring System Using Convolutional Neural Network D.A. Loktev, A.V. Proletarsky, A.A. Loktev Modeling of various processes and objects is used both to describe and predict the behavior of objects of different nature, to create simulators of real systems for teaching and training personnel, and to identify operational errors. This paper considers the implementation of modeling a system for monitoring objects for their diagnostics, defect detection and management. The model of the system under consideration is implemented with the ability to simulate control objects by determining parameters and recognizing real objects that are introduced into the system. To be able to flexibly confi gure the system and reduce the human factor, the use of convolutional neural networks is proposed. A model of a complex for modeling monitoring of objects is presented, including with the ability to simulate their characteristics, to describe which an ontological approach is used. Keywords: measurement and monitoring system; image analysis; convolutional neural network; object parameters; object simulation. DOI: 10.25791/asu.9.2020.1219 Pp. 39-46.