5G image real-time transmission system for detecting aircraft surface defects by unmanned aerial vehicle

Abstract

The invention discloses a 5G image real-time transmission system for detecting aircraft surface defects by an unmanned aerial vehicle. The 5G image real-time transmission system comprises an unmannedaerial vehicle acquisition end, a 5G transmission base station and a computer terminal, wherein the unmanned aerial vehicle acquisition end is used for acquiring a paint spraying surface image of a detected aircraft; the 5G transmission base station is in signal connection with the unmanned aerial vehicle acquisition end and the computer terminal, and is used for receiving the image acquired by the unmanned aerial vehicle acquisition end and transmitting the received image to the computer terminal; and the computer terminal is used for receiving the image transmitted by the 5G transmission base station and further processing the received image. According to the 5G image real-time transmission system for detecting aircraft surface defects by the unmanned aerial vehicle, the defects of the civil aircraft skin paint spraying surface can be monitored in real time, the aircraft surface is repaired in time, and the aircraft surface defect detection efficiency is greatly improved.

Description

technical field [0001] The invention relates to a 5G image real-time transmission system for unmanned aerial vehicles to detect aircraft surface defects, and belongs to the technical field of 5G image real-time transmission. Background technique [0002] Aircraft research and development is a major strategy to enhance the country's core competitiveness. Aircraft skin surface coatings are prone to problems such as flow, pinholes, and debonding after spraying, which not only affects the appearance, but also seriously affects the operation safety of the aircraft. Therefore, the detection and identification of surface defects of aircraft skin spray paint has high requirements. [0003] There are many types of surface defects in aircraft skin spray paint. In addition to defects such as particles, scratches, garbage, flow, orange peel, and over-thick flanging, there are many other unknown defects with the change of processing procedures. In addition, the aircraft skin spray paint...

AI Technical Summary

Problems solved by technology

Aircraft skin surface coatings are prone to problems such as flow, pinholes, and debonding after spraying, which not only affects the appearance, but also seriously affects the operation safety of the aircraft. It is also an important means to realize the speed-up of batch production in the future. Therefore, there are high requirements for the detection and identification of surface defects of aircraft skin spray paint

[0003] There are many types of surface defects in aircraft skin spray paint. In addition to defects such as particles, scratches, garbage, flow, orange peel, and over-thick flanging, there are many other unknown defects with the change of processing procedures. In addition, the aircraft skin spray paint surface The size of the defect is usually measured in microns, the area is small and the dispersion is uneven

Therefore, at present, the detection of aircraft paint surface defects is mainly through manual visual inspection, which is not only costly and inefficient, but also the inspection effect is easily affected by subjective factors such as vision and physical condition.

With the demand for automation and mass production of aircraft manufacturing, manual detection methods can no longer meet the requirements of development, and there is an urgent need to realize automatic and intelligent detection methods for aircraft skin surface defects

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