Unmanned aerial vehicle bridge bottom detection system based on LiDAR

Abstract

The invention relates to an unmanned aerial vehicle bridge bottom detection system based on LiDAR, the system comprises an unmanned aerial vehicle, an LiDAR acquisition and navigation module, an image acquisition module, a transmission module and a ground control center, and the unmanned aerial vehicle carries out field information acquisition by carrying the LiDAR acquisition and navigation module and the image acquisition module, and transmits the acquired information to the ground control center through the transmission module. According to the bridge bottom detection system, the unmanned aerial vehicle serves as a platform, cost is low, efficiency is high, reliability is high, flexibility is high, the detection time is not limited, and meanwhile the flight safety of the unmanned aerial vehicle is improved through obstacle avoidance information detection. Compared with traditional detection, the equipment can obtain more comprehensive bridge information.

Description

technical field [0001] The invention relates to the technical field of rapid inspection of bridges, in particular to a LiDAR-based unmanned aerial vehicle bridge bottom detection system. Background technique [0002] The monitoring and analysis of bridge girder bottom condition is the basic task of bridge health monitoring. At present, there are mainly two methods of bridge bottom detection technology: manual detection and unmanned aerial vehicle detection. Manual inspection relies on bridge inspection vehicles and other large-scale machinery to send bridge inspection experts to the bottom of the bridge to look for cracks with the naked eye and measure the crack size with a crack observer or ruler. This manual detection method is inefficient, costly, and has potential safety hazards; UAV detection is usually carried out using video image methods, which are greatly affected by positioning accuracy, and it is difficult to identify microscopic damage. There are also many prob...

AI Technical Summary

Problems solved by technology

This manual detection method is inefficient, costly, and has potential safety hazards; UAV detection is usually carried out using video image methods, which are greatly affected by positioning accuracy, and it is difficult to identify microscopic damage

There are also many problems when drones fly under bridges, such as loss of GPS signals, inaccurate positioning, loss of remote control signals due to occlusion, obstacle avoidance, etc. Flying ability to avoid hitting obstacles or crashing while flying under bridges

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