Power grid inspection insulator detection and classification method

A technology for insulator detection and power grid inspection, which is applied in the field of image recognition, can solve problems such as insufficient efficiency of target detection and recognition, insufficient information extraction, and inability to utilize multi-scale convolution feature maps, so as to improve image detection accuracy and improve The effect of stability and effective recognition

Active Publication Date: 2020-09-18
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0007] Aiming at the above-mentioned deficiencies in the prior art, a method for detecting and classifying power grid inspection insulators provided by the present invention solves the problem that the existing convolutional neural network-based method for detecting and classifying power grid inspection insulators is not sufficient enough to extract information from multi-scale The semantic information of the convolutional feature map is efficiently used in target detection, and the detection and recognition ability of the target is not efficient enough

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  • Power grid inspection insulator detection and classification method
  • Power grid inspection insulator detection and classification method
  • Power grid inspection insulator detection and classification method

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Embodiment Construction

[0053] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0054] Such as figure 1 As shown, a power grid inspection insulator detection classification method includes the following steps:

[0055] S1. Obtain the transmission line insulator data set;

[0056] S2. Manually mark the data set to obtain the training data set;

[0057] S3. Construct a detection and classification model for power grid inspection insulators;

[0058] Such as figure 2 As shown, the power grid inspecti...

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Abstract

The invention discloses a power grid inspection insulator detection and classification method, which comprises the steps of determining a positive sample and a negative sample through a target prior model, and enabling parameters of the target prior model to flow among multiple levels through feature sharing, thereby greatly improving the detection precision of an insulator and shortening the search process of the insulator at the same time; a matching irrelevant negative sample is mined by using a target prior mechanism, so that the process of detecting the insulator is guided to be better recognized in source data, the stability of generating a positive sample is improved, and the insulator is effectively recognized by means of prior knowledge.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a detection and classification method for power grid inspection insulators. Background technique [0002] Nowadays, people's demands for production and life are constantly increasing, and the scale of power system construction is also expanding. In terms of network monitoring of power systems, aerial photography can monitor most power lines and equipment, and has become a very important monitoring method, among which the inspection of transmission lines is an important part. As an important part of transmission lines, insulators play an important role in ensuring the safe operation of power systems. [0003] In the power inspection task, it is necessary to detect and classify defects for different types of insulators. With the continuous expansion of the power system, a large amount of aerial survey image data comes one after another, and manual measurement methods cannot be use...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G01N21/88G01N21/95
CPCG06N3/084G01N21/8851G01N21/95G01N2021/8883G06V2201/07G06N3/045G06F18/2321G06F18/214G06F18/241
Inventor 余志斌廖琦沁
Owner SOUTHWEST JIAOTONG UNIV
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