DEVELOPMENT OF A MATHEMATICAL MODEL AND ALGORITHMS FOR REAL-TIME ASSESSMENT OF GAS LEAKAGE AND FIRE HAZARD BASED ON ARTIFICIAL INTELLIGENCE AND IoT TECHNOLOGIES

Abstract

This paper analyzes an integrated mathematical model and algorithms combining the Internet of Things (IoT) and Artificial Intelligence (AI) that enable real-time assessment and prevention of gas leakage and fire hazards at industrial and residential facilities. Based on multi-parameter readings obtained from sensors (gas concentration, temperature, smoke, air humidity), a multi-factor hazard assessment model and machine learning algorithms (Random Forest, XGBoost) have been developed.