A system and method for generating a UAV autonomous tracking path model

Abstract

The invention discloses a system and method for generating an autonomous tracking path model of an unmanned aerial vehicle. The system includes: an unmanned aerial vehicle remote control, used for the pilot to perform remote control operations on the unmanned aerial vehicle, generate control data and transmit it to The UAV airborne system; the RTK base station, which obtains the network positioning information of the network RTK base station group, and combines it with the RTK satellite positioning information of the RTK base station to calculate the positioning and calibration data of the UAV; The data of the human-machine remote control controls the flight of the drone, combines the RTK satellite positioning information of the drone with the positioning calibration data from the RTK base station, calculates the precise position of the drone, and sends it to the ground station; the ground station, According to the precise location information sent by the UAV airborne system, the key point coordinates of the UAV flight are screened, and the UAV autonomous tracking path model is generated. The invention is beneficial to generate an accurate autonomous tracking path model of the unmanned aerial vehicle, and brings great convenience to the autonomous inspection of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to unmanned aerial vehicle inspection, in particular to a generation system and method for an autonomous tracking path model of an unmanned aerial vehicle. Background technique [0002] At present, the demand for drones in the industrial field is increasing, and they are used in various aspects such as national defense, agriculture, electric power, fire protection, and public security. There is a great demand for some occasions that cannot be successfully completed by conventional manpower; especially in In the field of inspection, drones have a very important application. There are two main inspection methods: one is to control the drone for inspection by the drone pilot, but this method is extremely dependent on the pilot's technology , if you want to conduct regular inspections on the same tower, it will undoubtedly increase safety hazards, and it is difficult for the pilot to control the flight to ensure the consistency of the...

AI Technical Summary

Problems solved by technology

[0002] At present, the demand for drones in the industrial field is increasing, and they are used in various aspects such as national defense, agriculture, electric power, fire protection, and public security. There is a great demand for some occasions that cannot be successfully completed by conventional manpower; especially in In the field of inspection, drones have a very important application. There are two main inspection methods: one is to control the drone for inspection by the drone pilot, but this method is extremely dependent on the pilot's technology , if you want to conduct regular inspections on the same tower, it will undoubtedly increase safety hazards, and it is difficult for the pilot to control the flight to ensure the consistency of the inspection path, which increases the workload of later data analysis; second, according to the GPS information of the tower and the Detailed parameters such as tower type, voltage level, tower height, insulator material, etc. are used to generate waypoint paths, thereby guiding drones to conduct autonomous inspections

This method requires the cooperation of relevant departments to provide accurate data, which is relatively cumbersome and has certain restrictions. Moreover, if there is a deviation in the provided data, the aircraft may crash into the tower, which is extremely risky.

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