Inspection analysis system and method based on unmanned aerial vehicle

Abstract

The invention discloses an inspection analysis system and method based on an unmanned aerial vehicle, and the system comprises a first collection unit which obtains point cloud data, and plans the inspection route data of the unmanned aerial vehicle according to the point cloud data; the first processing unit is used for converting the inspection route data into an executable waypoint file and loading the executable waypoint file into the unmanned aerial vehicle to execute a flight task, so that the unmanned aerial vehicle autonomously inspects a target route and acquires image data; the image processing unit is used for preprocessing the image data; the image analysis unit is used for sending the preprocessed images into a pre-stored defect sample database for classification; sending a classified result into a pre-constructed algorithm model library for intelligent judgment; the report output unit is used for summarizing the obtained judgment results to obtain an inspection analysis report; the method has the advantages that the problem that only a small number of defects can be detected due to the adaptability of a single algorithm is solved, and the inspection quality and the inspection efficiency are improved while the engineering application detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of inspection technology, in particular to an inspection analysis system and method based on an unmanned aerial vehicle. Background technique [0002] A drone is an unmanned aircraft that is controlled by wireless signals or established procedures. At present, in the field of power line inspection, UAVs have broad application prospects. The use of drones for equipment inspections can greatly improve work efficiency compared with manual operations. UAVs can reach heights that are inconvenient for humans to reach and precision that is difficult for the naked eye to reach, greatly improving the accuracy of inspections. Using drones to mount a variety of high-altitude detection equipment can directly conduct high-altitude detection of wind turbine equipment and transmission lines during the inspection process, without the need for multiple manual analysis. [0003] However, in the existing technology, the generated dat...

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Problems solved by technology

[0003] However, in the existing technology, the generated data needs to be manually interpreted to obtain the final inspection report. Although there are also image recognition solutions, due to the adaptability of a single algorithm, only a small number of defects can be detected, the size of the data set and the power There is a problem that the same defect in the line has a variety of different appearances, resulting in the defect that the accuracy of detection in actual engineering applications cannot meet the current inspection requirements

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