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The need of development of efficient algorithms for the integrated management of the fire rescue units’ activities from the moment of recieving the notice of the fire until return to the depot was substantiated. The need to assess the travel time of a fire extinguishing vehicle to the place of the call and fire area as key drivers of successful fire elimination was substantiated. We received a dependency that allows setting the value for the area of the fire depending on the duration of its free development and linear velocity of expansion. The analysis of this dependency shows that even a slight reduction in the duration of the free development of fire will significantly reduce the fire area and, accordingly, the amount of due losses. To design the algorithm of efficient management of the fire rescue units’ activities using the software package STATISTICA, dependencies were received allowing setting the values of travel time of a fire extinguishing vehicle to the place of the call and, as a consequence, the area of the fire, depending on the distance to the destination of the call and the time of day. On the basis of the received dependencies a block diagram was created of algorithm-simulation model of efficient management of the fire rescue units’ activities. The algorithm makes it possible to determine the optimal routes of fire rescue vehicles and calculate the area of a fire by proposed dependencies, as well as to choose the optimal technology for fire extinguishing. A computer software program, developed on the basis of this algorithm, will allow the head of fire extinguishing to facilitate the calculation of the parameters of development and elimination of fire, as well as the optimal quantity of capabilities for its elimination. A program to select the optimal technology of firefighting was also considered. The program for PC was written in the programming language С# for the Windows XP and Windows 7 operating systems. As a result of the program’s work for grade A and B fires, we receive the estimated quantity of forces and facilities for elimination of fire.

Development of algorithms for efficient management of fire rescue units