MULTI-CRITERION MODEL OF IDENTIFICATION OF EMERGENCY SITUATIONS ACCORDING TO A SET OF SIGNS

Abstract

The paper provides a detailed description of the developed multi-criteria model for identifying abnormal situations based on a set of signs at critical infrastructure facilities.

Objects of critical infrastructure have always been and especially now, during war, are places of increased danger. Of course, every object has video surveillance cameras, various sensors for identifying abnormal situations, but there is still no single system that would automatically notify about an existing danger, and later, after learning, allow predicting the possibility of a critical situation (CS). Therefore, the creation of a universal multi-criteria model, which would allow not only to recognize a critical situation, but also to make a decision regarding its elimination, is relevant for enterprises of critical industries.

This work described the developed multi-criteria model for identifying abnormal situations based on a set of signs. This method is not critical to the correspondence of the composition of the features of the image and the object of identification for the realization of the recognition process, which distinguishes it among similar methods. To confirm the functionality of the model and the possibility of its application on critical infrastructure objects, it is necessary to test this method on real data.