METHODS OF ASSESSING THE EFFECTIVENESS OF FIRE SAFETY CONTROL IN OBJECTS WITH A HIGH FIRE-EXPLOSION RISK
METHODS OF ASSESSING THE EFFECTIVENESS OF FIRE SAFETY CONTROL IN OBJECTS WITH A HIGH FIRE-EXPLOSION RISK
Ключевые слова:
Conceptual model • Effectiveness • kNN algorithm • Estimate • Automated systems • Support • Algorithms • Control parameters JEL codes C15 • C45 • C53 • C55 • C67 • C88Аннотация
Purpose: creation of a hardware-software complex for the model and algorithms of a system that continuously monitors the safety of objects with fire and explosion risks and supports decision-making. Design/methodology/approach: To solve the problem, systematic analysis, control theory, optimization methods, mathematical and computer modeling methods were used. Findings: A software and hardware complex for predicting the occurrence of fire “Gas Alarm” has been developed, which, as a result of its implementation, made it possible to increase the efficiency of specialists’ work by 10-15%. Originality/value: Today, the volume of information transmitted, received and collected through the global network continues to be one of the pressing issues related to the intelligent analysis of large volumes of information, as well as the development of the necessary solutions and approaches. It is known that in the current period, the urgent need is the operational analysis of information received from the object and the development of algorithms and hardware and software systems that quickly respond to them. In developed countries of the world, much attention is paid to solving theoretical and practical issues in the areas of intellectual analysis of the use of spline functions when processing data received from devices and circuit solutions of hardware and software complexes. In particular, to create a system for continuous monitoring of objects with a high fire danger, it is important to develop and widely implement models, algorithms, and software systems that help assess, predict and make decisions on a fire situation based on artificial intelligence and digital technologies.
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