5G based bridge crack detection system based on 5G interactive intelligent unmanned aerial vehicle group

Abstract

The invention discloses a 5G based bridge crack detection system of an interactive intelligent unmanned aerial vehicle group, belongs to the field of unmanned aerial vehicle operation, and aims at lowering requirements of unmanned aerial vehicles for base stations and solving the problems that 4K high-quality pictures cannot be transmitted and the transmission rate is not high enough. The system comprises an unmanned aerial vehicle main body, a ground center station and a carrying module combination arranged on the unmanned aerial vehicle, wherein the carrying module combination comprises a 5Gmodule, an image acquisition module, an ultrasonic flaw detection module, a sensor group, a communication module, a storage module, a data processing subsystem and a vehicle body stabilizing instrument. A ground data receiving center comprises a 3D generative adversarial network subsystem and a 3D generative adversarial network subsystem. According to the invention, the mutual cooperation relationship among a plurality of unmanned aerial vehicles is established through the technical architecture of the 5G network, measurement with wider coverage can be realized, operation is simple and convenient, the working efficiency and the working precision of unmanned aerial vehicle bridge detection are improved, and the health condition judgment condition of the bridge can be quickly and accuratelygiven.

Description

technical field [0001] The invention discloses a bridge crack detection system based on a 5G interactive intelligent unmanned aerial vehicle group, which belongs to the field of unmanned aerial vehicle operations. Background technique [0002] Modern bridges are no longer limited to the constraints of traditional structures. With the continuous innovation and development of the shape, various problems will arise when the structure suffers from its own defects and the joint action of various loads. Excessive deflection at the mid-span of the bridge, uneven bearing settlement, and local damage will be unfavorable to the continued bearing capacity of the bridge. Crack detection data allows researchers to gain a better understanding of its current wear and tear status, allowing targeted reinforcement of locally severely damaged areas. [0003] The detection of cracks in engineering practice mainly relies on professional crack detection personnel to measure the size of cracks by...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention provides a bridge crack detection system based on 5G interactive intelligent UAV group, which is used to solve the current problem of incomplete data and low efficiency of bridge crack detection

Images