Knife switch state refined detection and identification method

Abstract

The invention provides a knife switch state refined detection and identification method comprising the following steps: inputting a knife switch image to be detected, and preprocessing the image; inputting the image into a pre-trained deep learning module to judge the opening and closing states of the knife switch, and if the knife switch is in the opening state, directly outputting a judgment result and ending the detection; if the knife switch is in the closed state, judging the type of the knife switch to be detected, if the knife switch is a double-arm folding knife switch, sharpening theimage, extracting a characteristic value in the image, carrying out characteristic coding on the characteristic value, then identifying to obtain position information of two vertical double arms according to the characteristic code, calculating the closing degree of the knife switch, outputting and ending the detection; and if the knife switch is a double-column rotary knife switch, carrying out edge detection on the image, selecting a circular area on the edge to obtain rough position information of the knife switch, carrying out linear detection and positioning on the image to obtain accurate positions of two sections of conductive knife switches, calculating the closing degree of the knife switch, outputting and ending the detection.

Description

technical field [0001] The present invention relates to the technical field of electric equipment detection and image processing, and more specifically, relates to a refined detection and identification method of a knife switch state. Background technique [0002] The deep control of the current power grid is mainly reflected in the remote control operation of the equipment, and the knife switch is an important part of the power transmission and transformation system. Whether its opening and closing status is completely normal directly affects the safety of the system. In addition, with the development of the power grid, the load of the power grid is increasing, and the accuracy and refinement of the remote control operation of the power grid equipment are getting higher and higher. , The accuracy requirements are getting higher and higher, especially for emergency defects and accidents, when the substation patrol inspection has not arrived at the station, due to the lack of...

AI Technical Summary

Problems solved by technology

[0004] The present invention is to overcome the lack of reliable technical means in the above-mentioned prior art to judge whether the isolation switch is in place, and the accuracy of the judgment result cannot meet the demand , providing a fine-grained detection and identification method for knife switch status

Images