Development of a computerized fire forecasting system in residential sector

The research is devoted to the development of a structural scheme of the computerized system for the implementation of the method for predicting the preconditions of fire emergence in residential sector. The developed computerized system is based on the use of the method of group consideration of arguments due to its adaptation to the subject area. Table implementation of the method will provide accurate fire forecasting in residential sector in real time. It is established that the use of the system of residual classes and information redundancy is the most effective method for increasing the speed and reliability of the work of specialized computing means. Further research was aimed at finding a numerical system that most effectively implements the system of residual classes, taking into account the current development of computer technology. To ensure the speed and reliability of the implementation of the system of residual classes, it is proposed to implement it based of a positional biquatemary system with a constant number of units. In a biquatemary system with a constant number of units, the system of residual classes is effectively implemented taking into account the existing elemental base of computer technology. As the results of the calculations show, such a system of calculations is guaranteed to detect all errors of odd multiplicity with a significant simplicity of information control. It follows that a binary quadruple system can be considered promising for the use in specialized computer systems to predict the preconditions for the emergence of fires in the residential sector and fire safety management systems. In this research we have paid special attention to the lack of false prediction. Mistakes in forecasting the preconditions for the emergence of fires in the residential sector may lead to inefficient use of forces and means of bodies and units of the State Emergency Service of Ukraine and significant loss of funds

fire forecasting; residential sector; computerized system; numerical system