Unmanned aerial vehicle imaging-based bridge crack identification device

Abstract

The invention discloses an unmanned aerial vehicle imaging-based bridge crack identification device, which comprises a lightning rod, propellers, screw rods, support rods, crossbars, a sealing cover,a numerical control platform, a connecting rod, a camera, a fixed platform, a power system, a navigation system, a communication system, a control system, an imaging system, an auxiliary system, a wireless network, a power supply, an led light, an alarm system, a memory and a voice prompt module. The unmanned aerial vehicle imaging-based bridge crack identification device is additionally providedwith the lightning rod, the device is prevented from being damaged by lightning strike when working in a thunderstorm, thus the operation of the internal power system of the device is not interfered,the combination and assembly of the support rods and the crossbars enables the device more stable in storage, the device runs more smoothly, the air resistance is more even, under the adjustment of the control system and the imaging system, the camera can photograph the bridge in all directions, the communication system and the imaging system transmit signals to a receiving station, and thus simpleness and practicality are achieved.

Description

technical field [0001] The invention belongs to the technical field of application of UAV identification devices, and relates to a bridge crack identification device, in particular to a bridge crack identification device based on UAV-borne imaging. Background technique [0002] Bridge cracks refer to a phenomenon in which the surface of the bridge is cracked due to many reasons such as load, its own materials, and external substances. The damage caused by bridge cracks is huge, so it is necessary to regularly and comprehensively check the surface and interior of the bridge. Whether cracks appear, eliminate safety hazards in time, and ensure the safety of pedestrians. Therefore, it is necessary to provide a device that can independently identify whether there are cracks in the bridge and determine the cause. [0003] At present, most of the detection and identification of bridge cracks in construction projects are carried out through human judgment and instrument detection. F...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the detection and identification of bridge cracks in construction projects are carried out through human judgment and instrument detection. Few drones are used to investigate and identify cracks. A few bridge crack identification devices still have some The disadvantages are that many devices do not have the effect of lightning protection in the environment of lightning strikes in rainy days, which will cause damage to the power components inside the device, and the power system will be seriously disturbed. The stability of the device is not good when it is stored and shelved. The air resistance is uneven, easy to shake, resulting in poor detection and identification, easy to damage, troublesome to operate, and the price is too high

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