Automated processing of remote sensing data in the analysis of the risks of accidental oil spills on water surface

The purpose of this work was to improve the efficiency of the operation of operational duty shifts by system analysis and synthesis of the system of organized management of operational duty shifts of control centers in crisis situations. One of the most important tasks is the task of choosing a rational model of knowledge representation. In the article, the subsystem of choosing a rational model of knowledge representation is implemented in the form of a mathematical (combined) model of the process of choosing a rational model of knowledge representation. In the course of the work, a list of classification features and the corresponding values of the features were identified, which make it possible to determine whether the solution of the problem of an official of the Center of management in crisis situations of the Ministry of EMERCOM of Russia belongs to the knowledge representation model. For the convenience of working with the received data, the method of convolution of criteria was successfully implemented. Integral indicators were obtained for each model: production, frame, logical, and semantic network models. The results obtained with an emphasis on the specifics of modern information and analytical systems based on artificial intelligence and knowledge bases contribute to improving the efficiency of the management bodies of the EMERCOM of Russia in monitoring and forecasting emergencies.