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A method for automatically identifying the opening pin defect of a transmission line

A transmission line and automatic identification technology, applied in the field of image recognition, can solve the problems of low proportion of information, small physical size, and inability to effectively identify cotter pins, so as to avoid misidentification, improve identification accuracy, and improve inspection efficiency effect

Pending Publication Date: 2019-01-22
CHINA ELECTRIC POWER RES INST
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Problems solved by technology

[0004] The cotter pin has a small physical size. In the usual inspection images, the pixels of a single nut and cotter pin account for less than 1 / 10,000 of the pixels in the whole image. Due to the low proportion of information, conventional feature-based digital image processing algorithms, regardless of It is edge detection, Fourier transform, wavelet transform, etc. cannot effectively identify cotter pin defects

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  • A method for automatically identifying the opening pin defect of a transmission line

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[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0036] The cotter pin-nut structure is located on the connecting fittings at both ends of the insulator, and is used to firmly connect the ground wire and the fittings of the tower. The cotter pin is used to prevent the relative rotation of the nut and the bolt. The installation position of cotter pin fittings is obviously different from the installation position of nuts and bolts without cotter pin structure on the tower. Combining the advantages of the current deep learning and feature recognition algorithms, the deep learning model is used to obtain the initial value of the pixel coordinates of the insulator area through the training of large data samples, and the feature recogn...

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Abstract

The invention provides a method for automatically identifying the opening pin defect of a transmission line, which comprises the following steps: an image of the transmission line is obtained; then, the pixel coordinates of the insulator region in the image are obtained by using the trained shared convolution neural network to detect the transmission line map; at that pixel of the insulator region, a feature recognition algorithm is used to detect whether the connector split pin is defective or not according to the coordinates. The program can automatically identify the working condition patrol image, and automatically locate the defect position of the patrol pin in the image for the operator to judge, improve the patrol efficiency and ensure the safe and stable operation of the transmission line.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an automatic recognition method for a split pin defect of a power transmission line. Background technique [0002] As a necessary means of inspection, UAV inspection has cooperated with helicopter inspection and manual inspection to build a new type of inspection system, completely changing the existing inspection mode. [0003] The existing transmission line defect recognition software can separate the target from the inspection image through image processing methods such as edge detection, Fourier transform, and wavelet transform, and then identify specific defects through feature matching and other methods. Most software can already identify defects in larger components such as insulators. [0004] The cotter pin has a small physical size. In the usual inspection images, the pixels of a single nut and cotter pin account for less than 1 / 10000 of the pixels in the who...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/73
CPCG06T7/0004G06T7/10G06T7/73G06T2207/10004G06T2207/30164G06T2207/20081G06T2207/20084Y04S10/50
Inventor 谈家英邵瑰玮付晶刘壮胡霁文志科蔡焕青陈怡曾云飞
Owner CHINA ELECTRIC POWER RES INST
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