Unmanned aerial vehicle group automatic inspection system and method for dam defect detection

Abstract

The invention relates to an unmanned aerial vehicle group automatic inspection system and method for dam defect detection. The unmanned aerial vehicle group automatic inspection system for dam defect detection comprises an airborne control module, a ground control module, a mechanical control module and a data communication module, wherein the airborne control module, the ground control module and the mechanical control module carry out message transmission through the data communication module. Meanwhile, the invention provides an unmanned aerial vehicle group automatic inspection method for dam defect detection. Full-process automatic unmanned detection of the dam is achieved, the automation and intelligence degree of dam face disease detection is remarkably improved, the monitoring efficiency is improved, and the labor cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles applied to dam defect detection, and in particular relates to an automatic inspection system and method for dam defect detection by a group of unmanned aerial vehicles. Background technique [0002] Existing hydraulic concrete structure defect detection tasks mainly rely on manually building observation platforms and operating observation instruments, which is highly subjective, inefficient, has many interference factors, and high labor costs. And because the observation instruments are far away from the dam body, it is difficult to obtain high-precision images of the dam body, and it is impossible to clearly identify cracks and defects on the dam body. However, the traditional high-altitude suspension operation method is used to carry out dam surface inspection, which has long cycle, low efficiency, poor accuracy, high cost, long distance from the dam surface, and great safety ri...

AI Technical Summary

Problems solved by technology

[0002] Existing hydraulic concrete structure defect detection tasks mainly rely on manually building observation platforms and operating observation instruments, which is highly subjective, inefficient, has many interference factors, and high labor costs

And because the observation instruments are far away from the dam body, it is difficult to obtain high-precision images of the dam body, and it is impossible to clearly identify cracks and defects on the dam body

However, the traditional high-altitude suspension operation method is used to carry out dam surface inspection, which has long cycle, low efficiency, poor accuracy, high cost, long distance from the dam surface, and great safety risks.

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