ANALYSIS OF EXISTING SOFTWARE COMPLEXES FOR CALCULATING THE EVACUATION TIME OF PEOPLE DURING A FIRE
This article is devoted to the review of modern methods for assessing the fire risk. The article examines existing programs for calculating the evacuation time of people during a fire. The scientific work on studying the models of movement of people during evacuation from the premises using various methods of mathematical calculation is considered. A comparative analysis of existing software systems in the sphere of calculations was carried out. The comparative analysis of mathematical methods of the regularity of movement of people during a fire in software products is presented, namely, the mathematical aspects of calculating the actual time of evacuation of people from the premises by means of simulation of existing software complexes that allow us to calculate the evacuation from the analytical model of the human flow, the mathematical model of the individual-current movement of people and simulation stochastic model of movement of human flows in accordance with the method of determining the estimated values of fire risk in the building structures and buildings of different classes of functional fire hazard. The advantages and disadvantages of each of the studied programs for modeling the calculated fire risk values are analyzed. The problematic issues concerning the non-consideration of other software factors in the existing software systems are described, which can influence the evacuation process and the estimated values of fire risk in buildings, structures and buildings of different classes of functional fire danger. The main of the factors is the behavior of people, which is practically not yet fully used in the existing software complexes for modeling the evacuation of people from the premises. This is due to the fact that at present the existing methods taking into account the psycho-emotional state are still being studied all over the world, therefore, it has no precise calculation mathematical methods for its use in the above-mentioned models. The conclusion on the functionality of the studied software complexes is given and the directions of scientific activity are highlighted, which will be considered by the authors in the future.