Unmanned aerial vehicle reconnaissance task planning method and device based on genetic algorithm

Abstract

The invention relates to an unmanned aerial vehicle reconnaissance task planning method and device based on a genetic algorithm. The method comprises the steps of obtaining a task target to be reconnaissance from a situation map, and obtaining an initial position of an unmanned aerial vehicle in a task sub-region to be reconnaissance through an expectation maximization algorithm of a Gaussian mixture model; setting constraint conditions of unmanned aerial vehicle reconnaissance according to the initial position, the reconnaissance state vector and the reconnaissance force parameters; setting the sum of the task emergency degree parameters of the to-be-reconnaissance point locations as a target function; according to the constraint condition and the objective function, establishing a solving model of the distribution problem of the to-be-reconnaissance point locations of the unmanned Optimizing the solving model through a genetic algorithm to obtain an optimal solution of the target function; and obtaining an optimal reconnaissance point location allocated to the unmanned aerial vehicle according to the optimal solution of the target function. The method can improve the continuous reconnaissance efficiency of the unmanned aerial vehicle.

Description

technical field [0001] The present application relates to the technical field of unmanned aerial vehicles, in particular to a genetic algorithm-based reconnaissance mission planning method, device, computer equipment and storage medium for unmanned aerial vehicles. Background technique [0002] With the occurrence of more and more natural or man-made disasters, these disasters such as earthquakes, nuclear leaks, and large-scale fires have not only caused irreparable property losses of the people, but also seriously threatened the lives of the people. With the development of UAV technology and the rise of artificial intelligence in recent years, the intelligent UAV detection system has gradually become a hot spot in the field of UAV research. However, in the face of continuous reconnaissance in large-scale disaster areas, a single UAV begins to be unable to do what it wants due to the limitations of its range and its own information transmission bandwidth. The continuous reco...

AI Technical Summary

Problems solved by technology

At present, UAV swarms are mostly used for civilian lighting display of night scene UAVs, and swarm drones in the military field have just developed, and there are still deficiencies in higher-level applications.

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