The invention relates to the technical field of unmanned aerial
vehicle inspection, and discloses a
power transmission line unmanned aerial
vehicle inspection task intelligent allocation collaborative
planning method based on a
genetic algorithm. The method comprises the following steps: firstly, collecting and analyzing basic information of a
power transmission line, an unmanned aerial vehicle, a surrounding environment and weather, and establishing a
space model of unmanned aerial
vehicle inspection by using a grid method; based on the collected information, establishing a
mathematical model to allocate inspection tasks of the unmanned aerial vehicle; a
genetic algorithm is used for coding and optimizing a routing inspection path, meanwhile, a
fitness function is designed to comprehensively consider
multiple factors of a search effect, and quantization,
weight distribution and optimization selection are carried out; and an optimal solution is found through iterative optimization, and intelligent distribution and collaborative planning of unmanned aerial vehicle inspection tasks are realized, so that the requirements of regional inspection are met. According to the technical scheme, the flight
threat degree under different meteorological conditions can be quantitatively evaluated by considering the
wind speed, rainfall and
visibility, and the
flight plan is adjusted according to the flight
threat degree.