A method for identifying a lightning arrester based on a patrol inspection robot

Abstract

The invention relates to a method for identifying a lightning arrester based on a patrol inspection robot, wherein the patrol inspection robot obtains an image of a field lightning arrester; the target area to be detected is roughly located and precisely located, and the target candidate area is screened to obtain the lightning arrester image. The digital region is extracted, and the tilt correction and image preprocessing are carried out on the digital region. The target region is segmented to obtain a single digital image. Image features are extracted and a template matching method is used to recognize a single digital image. ehether the matching ratio of a single digital image and a template is higher than a set threshold value is judged, if so, the recognition is completed, if not, a trained artificial neural network is called to recognize a single digital image again; the digital display part of the arrester is obtained by sorting the single digits according to their coordinates in the image. The invention can effectively complete the detection and identification task of the lightning arrester under different illumination and posture conditions, and meanwhile, the identification speed is improved on the basis of maintaining the identification accuracy.

Description

technical field [0001] The invention belongs to lightning arrester recognition technology, in particular to a lightning arrester recognition method based on a patrol robot. Background technique [0002] Surge arresters have been widely used in the field of substations. However, due to cost factors and working conditions, many surge arresters do not have a dedicated communication interface, resulting in the inability to automatically identify the readings, requiring manual input of the meter readings. However, manual entry of instrument readings often consumes a lot of manpower and time, and is prone to errors in long-term and high-frequency working environments. Therefore, manual entry of arrester readings has disadvantages such as low efficiency, poor reliability, high risk, and low level of intelligence. In this case, it becomes an inevitable trend to automatically extract numerical information based on computer vision technology through image processing and image recogn...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a lightning arrester identification method based on inspection robots to solve the problem of low recognition ability and identification efficiency of existing lightning arrester identification methods

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