Application of artificial intelligence technologies for diagnosing the level of stress resistance during exercises of fire protection units

the research relevance is due to the increasing requirements for the professional activities of fire protection officers, whose work is associated with high psycho-emotional stress and risk to life. The research goal is to develop and test a methodology for diagnosing the level of stress resistance of fire service employees based on artificial intelligence technologies in the process of conducting exercises. The research objectives include: analysis of existing methods for diagnosing stress resistance; analysis of existing algorithms for processing data obtained using sensors of physiological parameters and behavioral characteristics; study of domestic and foreign experience in diagnosing the stress resistance of firefighters during the exercises of fire protection units. The research methodology is based on a systematic approach, within the framework of which such general scientific methods as synthesis, analysis, systematization and formal-logical approach were used. A number of special methods were also used in the study: historiographical analysis of scientific literature and methods of descriptive analysis. The use of artificial intelligence technologies to diagnose the level of stress resistance of fire service employees in conditions as close as possible to the conditions of a real fire incident will make it possible to quickly identify employees exposed to increased stress during exercises and provide them with the necessary psychological support in a timely manner.

exercises of fire protection units, stress resistance, fire protection, fire extinguishing, innovative technologies