Control method and system for randomly filling unmanned aerial vehicle device based on ecological geographic algorithm

Abstract

The invention provides a control method for randomly filling an unmanned aerial vehicle device based on an ecogeography algorithm, and the method comprises the steps: obtaining at least two target control parameters for generating an actual 6G satellite global shape from a plurality of base stations built in a target region; performing hybrid calculation on each target control parameter based on a semi-variance hybrid algorithm; judging whether each target control parameter meets an end condition of an eco-geographic algorithm or not; performing mixed processing on each target control parameter through an ecological geographic algorithm, and turning to the second step; and importing each target control parameter into an ecogeography algorithm to optimize the shape of the random electric wave superposition tower. According to the method, positioning optimization is carried out on the ecological geography algorithm with the operator group as the guide, so that the advantages of the two algorithms are combined, the cooperation of the social information exchange capacity and the operator vertical crossing capacity of the ecological geography algorithm is utilized, a plane function is optimized in a method of operating the related algorithms, and the performance is optimized in a mixed thought in an operator theory.

Description

technical field [0001] The invention relates to the technical field of multi-machine combined unmanned operation of drones, balloons or airships, in particular to a control method and system for randomly filling drone devices based on ecological geographic algorithms. Background technique [0002] In the unmanned operation of the multi-machine combination of UAV / balloon / airship, very precise and stable communication is required to form perfect cooperation. [0003] The communication between the existing UAV / balloon / airship (HAPS) devices belongs to the traditional communication method, and its disadvantage is that the frequency is easy to be interfered, especially in forests, multi-buildings and other similar scenes, the communication quality is very poor, while the UAV When the / balloon / airship (HAPS) device itself is facing a group task, the communication is extremely important. Even for a single flight, the communication quality in complex terrain is also important. There...

AI Technical Summary

Problems solved by technology

[0003] The communication between the existing UAV / balloon / airship (HAPS) devices belongs to the traditional communication method, and its disadvantage is that the frequency is easy to be interfered, especially in forests, multi-buildings and other similar scenes, the communication quality is very poor, while the UAV When the / balloon / airship (HAPS) device itself is facing a group task, the communication is extremely important. Even if it is a single flight, the communication quality in complex terrain is also important. Therefore, it is necessary to use the fractal theory to set up the random maximum filling of the communication network.

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