Power grid damper defect automatic discrimination method

Abstract

The invention relates to the technical field of power transmission line overhaul, in particular to a power grid damper defect automatic discrimination method. The power grid damper defect automatic discrimination method comprises the steps of that a source image is extracted, stored and analyzed; a wire image is extracted; a background interference image is filtered; self-adaptive matching of gray enhancement threshold values of the images is conducted, and the images are subjected to enhancement processing; an image library is subjected to intelligent learning, and automatic discrimination of an abnormal defect of a damper is achieved. By means of the power grid damper defect automatic discrimination method, patrol data are stored, processed and analyzed; the data are subjected to segmentation, the images are subjected to extraction, background noise reduction and enhancement, and a damper installation image library is established; an intelligent identification engine is adopted for learning, and image data subjected to extraction, noise reduction and enhancement are input; the abnormal position of the damper can be automatically identified, the workload is effectively lowered, the efficiency of patrol data interpretation is improved, the accuracy rate and timeliness rate of the abnormal position of the damper are increased, and a prerequisite is provided for safe operation of a power grid.

Description

technical field [0001] The invention relates to the technical field of power transmission line maintenance, in particular to a method for automatically identifying defects of a power grid anti-vibration hammer. Background technique [0002] The power grid is an asset-intensive industry. Facing a large number of power grid assets and equipment, it is necessary to detect hidden dangers in time, formulate effective maintenance plans in a timely manner, and ensure high reliability and stability of the power grid. Minimizing the threat to the power grid is an urgent problem to be solved in the power grid industry; in the process of management and maintenance of transmission lines, the lines are distributed in high mountains and valleys, and the high-voltage overhead lines of transmission lines have relatively high pole positions and large spans, and overhead power lines are affected Wind, ice, low temperature and other meteorological conditions cause the line to vibrate and gallo...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, helicopter inspection is currently a commonly used method of inspection of transmission lines. By carrying infrared cameras and visible light cameras, the circuit is continuously photographed, the helicopter is hovering at the tower, and the insulators and anti-vibration hammers are photographed from multiple angles. Finally, terabytes of video data will be formed, and then the video will be cut into fragments with the theme of towers for manual identification and evaluation. This method is used to identify abnormalities in the position of the anti-vibration hammer. This method has a lot of work, low efficiency, and manual It is not sensitive enough to judge the position of the anti-vibration hammer. Unless the anti-vibration hammer has a major safety hazard, it is difficult to be found by the naked eye. With the advent of the big data era, the vigorous development of hadoop technology has made the storage of video and images of massive data, Analysis and learning become possible. Image intelligent recognition technology based on big data is widely used in all walks of life. It will become an inevitable trend to automatically complete the identification and positioning of transmission line defects through image recognition technology.

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