MULTIAGENT ROBOTIC SYSTEM APPLICATION IN CONDITIONS OF FOREST FIREFIGHTING

Forest fires become the most frequent large-scale natural disasters, the protection from which is a complex, labor-consuming and expensive process. The extent of the damage from fires in Russia amounts to 20-110 billion rubles annually. Forest fires that raged in October 2017, Northern California, caused damage of $9 billion dollars. Today the most effective and safe means of firefighting are fire-prevention robotic systems. Research-and-production Enterprise «Tenzosensor» with the support of the Russian Federation Ministry of education and science and in collaboration with FBI «Avialesokhrana» develops the multiagent robotic system for forest firefighting. The scientific objectives of the study are: justification of the composition of the light multiagent robotic system for forest firefighting; justification of the structure of the multiagent remote control system; justification of the unified control interface composition based on polijoysticks. The set tasks were solved by the methods of experimental modeling and theoretical analysis of the obtained results. As a result of the research the following results were received: the new composition of multiagent robotic system for forest firefighting was developed including; the structure of hierarchical multiagent remote control system was developed; the unified polijoysticks-based interface for the control of the multiagent robotic system elements. It is expected that by its performance and efficiency the developed robotic system will be able to replace a brigade of firemen of 40-60 people