Electric power inspection unmanned aerial vehicle based on intelligent image recognition and inspection method

Abstract

The invention discloses an electric power inspection unmanned aerial vehicle based on intelligent image recognition and an inspection method, belongs to the technical field of electric power inspection, and is characterized in that the electric power inspection unmanned aerial vehicle comprises an unmanned aerial vehicle body and a controller, and the bottom of the unmanned aerial vehicle body isfixedly connected with two brackets, an equipment box is arranged, through mutual combination of a second servo motor, a movable plate and a first electric push rod, an image acquisition device can bestored when the unmanned aerial vehicle body takes off and lands, collision of the image acquisition device is avoided, the protection performance of the device is improved, and through arrangement of the first servo motor and a gear, rotation of the image acquisition device can be achieved; the direction and angle of the image acquisition device can be rotated according to actual conditions, sothat power inspection is more convenient, the image acquisition device can be reinforced by arranging a reinforcing assembly, the unmanned aerial vehicle body is prevented from shaking during taking off and landing, and it can be effectively guaranteed that the image acquisition device shakes during working; and the stability of the image acquisition device is improved.

Description

technical field [0001] The invention relates to the technical field of electric power inspection, and more specifically, relates to an intelligent image recognition-based electric power inspection drone and an inspection method. Background technique [0002] With the rapid development of my country's economy, the demand for energy is increasing, and the ultra-high voltage and large-capacity power lines are being greatly expanded. However, my country's power line corridors need to pass through various complex geographical environments, and most of them pass through large-scale reservoirs, lakes and Mountains and mountains, etc., have brought many difficulties to the detection of power lines, making the daily detection of power lines a difficult task. [0003] The traditional power line and pipeline inspection process is that the staff personally go to the site to inspect the line. The inspection objects are mainly facilities, towers, wires, transformers, insulators, crossarms,...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of my country's economy, the demand for energy is increasing, and the ultra-high voltage and large-capacity power lines are being greatly expanded. However, my country's power line corridors need to pass through various complex geographical environments, and most of them pass through large-scale reservoirs, lakes and Mountains and mountains, etc., these have brought a lot of difficulties to the detection of power lines, making the daily detection of power lines a difficult task

[0003] The traditional power line and pipeline inspection process is that the staff personally go to the site to inspect the line. The inspection objects are mainly facilities, towers, wires, transformers, insulators, crossarms, knife switches and other equipment, and record the inspection situation with paper, and then enter it manually. In the computer, the existing power line and pipeline inspection process uses drones for intelligent image recognition, and transmits the data to the control terminal for recording, but the image acquisition device in the drone , the image acquisition device is exposed on the outside of the UAV, and the image acquisition device is prone to shaking or collision, causing damage to the device, and the existing support of the UAV is a flat plate, which is easy to land when the road condition is poor and the road is rough. The support of the UAV is unstable, and in severe cases, it will cause the UAV to overturn. Therefore, those skilled in the art provide a power inspection UAV based on intelligent image recognition to solve the problems raised in the above-mentioned background technology

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