Моделювання систем відновлення безпечної життєдіяльності в умовах ризику катастроф

Abstract

This work examines the "Human-Machine-Environment" (HME) system within a state space to model disaster recovery. Based on the Markov property, state transitions depend solely on the system’s current condition. Integrated with queuing theory, this approach optimizes HME structures to enhance response efficiency and significantly reduce time during catastrophes. Furthermore, it enables analysis of rescue subsystems by treating accident elimination as a stationary condition – a task resolved by applying the Second Law of Synergetics to determine transition probabilities. The results present a synergetic approach to enhancing safety systems