Electric unmanned aerial vehicle patrol inspection path planning method

Abstract

The invention relates to the technical field of unmanned aerial vehicle patrol inspection , and discloses an electric unmanned aerial vehicle patrol inspection path planning method, which comprises the following steps:(1) field investigation: carrying out field investigation on a route needing patrol inspection, and meanwhile, recording a patrol inspection take-off point, a landing point and a path point; 2) determining a patrol inspection route, and carrying out rationality analysis on the patrol inspection route; 3) unmanned aerial vehicle inspection: after the unmanned aerial vehicle takesoff, remotely controlling the unmanned aerial vehicle to fly along the patrol inspection route determined in the step 2); and 4) recording the position coordinates of the starting point in the step 1), and then sequentially collecting path points along the coordinates. According to the electric unmanned aerial vehicle patrol inspection path planning method, before patrol inspection of the unmannedaerial vehicle, on-site investigation is conducted on the route needing patrol inspection, the investigated route is converted into an elevation digital map, and meanwhile, the obstacles existing inthe elevation digital map are extracted, and the reasonability of the patrol inspection route is judged, so that the purpose of high safety is achieved, excessive invalid flight in the flying processof the unmanned aerial vehicle is avoided, and the patrol inspection efficiency is improved.

Description

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AI Technical Summary

Benefits of technology

The technical effect of this patented technology describes an improved method called electrical drones that can inspect areas without physically moving around them or requiring human operators. It uses cameras mounted onto aircraft instead of flying helicopters with fixed wing tips attached thereto to capture images from different angles while it moves through space. This allows for more accurate detection over large distances compared to traditional methods such as ground surveys. Additionally, the data obtained after the imaging helps reduce errors caused by factors like weather conditions (rain) affecting visibility between camera locations. Overall, these improvements help increase the accuracy and reliability of detecting objects near airports safely.

Problems solved by technology

This patented describes how piloted aircraft (UV) systems have been developed over recent years due to their vulnerability towards damage from environmental factors such as rain or snow. These issues make them difficult if not detected early enough during maintenance without causing significant delays when repairs occur later. To address this issue, proposes introducing automatic routing algorithms based on realistic data collected from multiple rotors mounted at different locations around the world's airspace called MultiRotator Unmanned Aerial Vehicles). By doing these techniques, the system helps maintain efficient communication between sensory devices and ground control stations while ensuring proper functioning even after being exposed to severe weather conditions like winter storms.

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