In article presents algorithmic for a reconnaissance and combat unmanned flying vehicle (UFV) group pre-flight planning. The algorithms, which we elaborated, includes: algorithm, involved for mission target decision, membership selection. Discussing algorithm is based on analytical probabilistic models, providing evaluation of UAF group efficiency operation, considering UAF reliability as well as on board navigation and weapon facility performances; algorithm of UAF routes at the stages of group motion to meeting point and further movement to target area. Developed algorithm provides definition both direction and velocity of UAF, considering actual environment condition and dangerous of UAF recognition by radar, acoustic or infrared facilities of enemy; algorithms of UAF group operation scheduling at the mission target area.

The issues of increasing the efficiency of fire situation monitoring are discussed, during which the search for objects of interest is being conducted to organize rescue operations and plan activities to fight the fire and reduce the consequences. Modern unmanned aerial vehicles equipped with vision systems, allow us to automatically explore the search area and detect various objects of interest. Monitoring is realized by controlling the trajectories and altitude of the aircraft, as well as receiving and analyzing images of the underlying surface, taken by onboard visual systems. The article offers a method for determining the altitude of flight of unmanned aerial vehicles during monitoring of the fire situation, taking into account the safety of aircraft and the conditions of observability of objects of interest. We consider some options for assessing the effectiveness of monitoring based on the search criteria of objects and the safety of unmanned aerial vehicles.

No abstract

No abstract

No abstract