The invention relates to a distribution network unmanned aerial vehicle
route adaptive generation
system based on AI vision assistance. The
system comprises a
server, a main unmanned aerial vehicle and an auxiliary unmanned aerial vehicle. The
server is composed of an arithmetic unit and a
control unit, and the arithmetic unit is used for executing an
adaptive algorithm, receiving and analyzing state data of the unmanned aerial vehicle to generate a control strategy and send a control instruction; the
control unit is responsible for transmitting the instructions to the unmanned aerial vehicle. The main unmanned aerial vehicle executes an
electric power inspection task according to a preset
route, collects image data of the
electric power equipment and transmits the image data to the
server; the auxiliary unmanned aerial vehicle flies around the main unmanned aerial vehicle, collects attitude and motion data of the main unmanned aerial vehicle, and transmits the data to the server. The main unmanned aerial vehicle and the auxiliary unmanned aerial vehicle generate a main
record Sa and an auxiliary
record Sb respectively, the server integrates the main
record Sa and the auxiliary record Sb into a total record S, the calculation unit adopts an actor-commentator
algorithm for analysis and optimization, and a self-adaptive strategy is generated to optimize the
route of the unmanned aerial vehicle.