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

A technology of inspection robot and identification method, which is applied in the field of lightning arrester identification based on inspection robot, can solve the problems of low identification ability and identification efficiency

Inactive Publication Date: 2019-01-22
NANJING UNIV OF SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to propose a lightning arrester identification method based on inspection robots t

Method used

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

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Embodiment 1

[0079] A method for identifying lightning arresters based on inspection robots, the specific steps are:

[0080] Step 1. Use the lightning arrester instrument image dataset to train the Adaboost classifier, and select an image centered on the instrument taken at the inspection point for each inspection point as a template image. The inspection robot arrives at the designated inspection point through positioning and navigation , to obtain images of on-site surge arresters for detection and recognition of surge arresters;

[0081] Step 2. Carry out rough positioning and precise positioning of the target area to be detected, and screen the target candidate area to obtain the arrester image;

[0082] Step 2-1, using Merlin Fourier transform and phase correlation technology to roughly locate the target arrester area in the picture to be detected;

[0083] Step 2-2, using the machine learning Adaboost classifier trained in advance to accurately locate the image to be detected, and ...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/34G06K9/62G06K9/46
CPCG06V20/10G06V10/267G06V10/30G06V10/44G06F18/24
Inventor 郭健王艳琴王天野李胜吴益飞袁佳泉施佳伟朱禹璇危海明黄紫霄
Owner NANJING UNIV OF SCI & TECH
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