Unmanned aerial vehicle routing inspection image retrieval system and method based on electric transmission line and GIS

Abstract

The invention discloses an unmanned aerial vehicle routing inspection image retrieval system and method based on an electric transmission line and a GIS. The unmanned aerial vehicle routing inspection image retrieval system comprises an image processing server, an external signal input device, a result display device, an unmanned aerial vehicle and a ground monitor station. The external signal input device inputs external signals or instructions to the image processing server, the result display device outputs a processing result of the image processing server, the ground monitor station reads the flight state information and routing inspection result data of the unmanned aerial vehicle and sends the read data to the image processing server, and the ground monitor station is in wireless communication with the image processing server. By means of the unmanned aerial vehicle routing inspection image retrieval system and method based on the electric transmission line and the GIS, the data retrieving and processing efficiency of the routing inspection result can be improved, the image processing cost in routing inspection is lowered, the image retrieving and processing speed of the server is increased, and the processing time cost of the routing inspection result is lowered.

Description

technical field [0001] The invention belongs to the field of operation and maintenance of power systems, and in particular relates to an image retrieval system and method for unmanned aerial vehicle inspection based on power transmission lines and GIS. Background technique [0002] UAV line inspection is playing an increasingly important role in transmission line inspection, which can greatly reduce the workload of power service personnel, reduce the probability of possible personnel danger, reduce the maintenance cost of power equipment, and improve the safety of the power grid sex and reliability. [0003] In the process of UAV inspection, the processing of inspection results is the core content of UAV inspection. How to efficiently and quickly process the data images of the results of UAV inspections, and match the images captured by UAV inspections with the inspection transmission line information has always been a problem that plagues UAV inspections. In the process o...

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Problems solved by technology

For example, Yuan Hui, Yu Ping and others from North China Electric Power University’s “Research on Image Feature Extraction and Classification of Power Equipment” and Sun Xia and Wang Zhijie’s “Fault Diagnosis of Large Substation Remote Monitoring System” focus on image content and power Equipment feature information, identifying the type of equipment in the image, classifying the image, and realizing the retrieval of the equipment image, but this method can only identify the equipment type, not the equipment model, and cannot compare the image with the corresponding transmission line section, tower number, Correlation of inspection geographic information

The patent "A Dictionary Image Retrieval System" with the application number "200910077920.2" retrieves image information according to the index table, but does not provide how to retrieve images corresponding to image attribute information or content

"Image Retrieval Clustering Method for WEB2.0 Labeled Image Shared Space" with application number "200910152883.7" and "Clustering-Based Correlation Feedback Retrieval Method in Network Image Search" with application number "200810104942.9", through cluster analysis The image classification and retrieval method classifies and retrieves images through the internal relationship between the image text information. The UAV inspection image text information does not involve the corresponding transmission line information and tower information, and cannot be aggregated. Class Analysis and Classification

The above patents or papers are all about technical devices or systems for image information matching and retrieval, but none of them have been applied in the image processing of UAV line inspection in power systems. They are at the level of theoretical research and cannot be applied to UAV transmission line inspection. inspection field

[0005] To sum up, in the current image information matching and retrieval methods, there is a lack of effective matching methods and retrieval methods between UAV inspection images and transmission line information, and it is impossible to accurately determine the number and number of transmission line equipment in the image based on the image information. Type, image attribute matching 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

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