Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models

The subject of this study is systems for detection and identification (D&I) explosive ordnance (EO). aim to develop a concept, general structure, models robotic-biological system D&I EO (RBS-D&I). objectives are as follows: 1) classify mobile suggest concept RBS-D&I; 2) the structure RBS-D&I consisting robotic (flying ground) biological subsystems; 3) including automaton, hierarchical, operational ones; 4) describe tasks planned results article-related scientific project; 5) discuss research results. following were obtained. RBS-D&I. comprises levels: control processing centres (mobile ground centre (MGCPC) virtual centre); forces (fleet unmanned aerial vehicles (FoU), information subsystem (BDIS), (RDIS)); interference; natural covers bedding surface; target objects (all munitions containing explosives, nuclear fission or fusion materials chemical agents). A based on description, analysis, development, operation an integrated complex cyber-physical cyber-biological running in changing physical environments. automata model. model describes operating two modes. In mode 1, FoU BDIS operate separately interact through MGCPC only. 2, depending specifics performed, RDIS can directly among themselves MGCPC. hierarchical has sets vertices: platforms equipped with necessary sensors. An cycle land release operations via methodology functional modeling graphic description IDEF0 processes. Conclusions. proposed solutions provide high-performance guaranteed designated areas by implementation intelligent platform tools planning use multifunctional fleets UAVs other subsystems.