Patrolling result data processing system and method used for unmanned aerial vehicle patrolling

Abstract

The invention discloses a patrolling result data processing system and method used for unmanned aerial vehicle patrolling. The system comprises an unmanned aerial vehicle, a plurality of ground monitoring stations and a patrolling result processing platform, wherein the unmanned aerial vehicle is used for patrolling a power transmission line, shooting image information of the power transmission line and transmitting the image information to the ground monitoring stations; the ground monitoring stations are used for communicating with the unmanned aerial vehicle, reading flight state data and patrolling result data of the unmanned aerial vehicle and sending the collected information to the patrolling result processing platform; the patrolling result processing platform is used for reading the flight state information and the patrolling result data of the unmanned aerial vehicle from the ground monitoring stations, and carrying out defect diagnosis on the patrolling result data and carrying out CRUD and playing management on defects diagnosed through defect diagnosis. Image defect identification information and image files are stored separately, corresponding defect information is associated with images during defect displaying, and positions, annotation or instructions and the like of the defects of the power transmission line in a patrolled image are displayed, so that efficient and quick processing of the patrolling result data of the unmanned aerial vehicle is achieved.

Description

technical field [0001] The invention belongs to the field of operation and maintenance of power systems, and relates to the field of inspection of power transmission lines by unmanned aerial vehicles, in particular to a data processing system and method for inspection results of unmanned aerial vehicles. Background technique [0002] UAV line inspection is playing an increasingly important role in transmission line inspection. UAV line inspection system can partially replace line inspection workers and manned machine line inspection systems, reducing the workload of power service personnel and reducing possible Reduce the probability of personnel danger, reduce the maintenance cost of power equipment, and improve the safety and reliability of the power grid. In the process of UAV inspection, the processing of the inspection results is the core content of the UAV inspection. If the processing and management of the inspection results are not handled well, it will cause irrever...

AI Technical Summary

Problems solved by technology

For example, Li Xiaoyu, Pu Li and others from the Institute of Robotics of Beihang University, "Image Acquisition System and Target Recognition of Small UAVs" and Leng Supeng and Ding Xianping of University of Electronic Science and Technology of China, "GPS Data Based on Small UAVs" and Image Acquisition System” and other papers, the processing of inspection results is mostly through the method of image pattern recognition to identify inspection objects, but this method cannot identify information such as line sections and tower numbers of transmission line equipment for inspection, and there is no specific Transmission lines provide drone inspection images and identification and management methods for defects

[0005] The application number is "200980129633.X" "Annotated Image" patent annotates images through image content and image related information to realize image information retrieval and management, but this patent does not provide a method for displaying image annotations in images. There is a one-to-one correspondence between annotations and images, and annotations cannot be managed separately

[0006] The "Image Processing" patent with the application number "200980124029.8" and the "Identification Image Control Device" patent with the application number "200980135115.9" are both marked by layers, which is not conducive to the preservation of image copies, resulting in the loss of the original image or damage, causing irreparable loss

[0007] To sum up, most of the existing inspection image defect identification methods are to identify line defects through image layers, the complexity of data processing is high, the amount of data processed and stored is large, and the defect identification is difficult. Less speed and efficiency

In addition, the existing inspection image management method lacks an effective method for matching UAV inspection images and transmission line information, and the method of image retrieval and management through transmission line information is not perfect

The image and defect management of existing UAV inspections are less flexible. Image management and retrieval methods in other industries are directly applied to the UAV line inspection result processing system. The effect is not ideal, and there are still many problems to be solved. solve

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