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A transformer oil level gauge identification method based on a patrol inspection robot

A technology for inspection robots and transformer oil, which is applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as inaccurate display recognition, achieve high position repeatability, improve inspection efficiency, and reduce false detection problems Effect

Inactive Publication Date: 2019-02-26
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a transformer oil level gauge recognition method based on a patrol robot to solve the problem of inaccurate recognition of on-site liquid level gauges under different lighting and attitude conditions

Method used

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  • A transformer oil level gauge identification method based on a patrol inspection robot
  • A transformer oil level gauge identification method based on a patrol inspection robot
  • A transformer oil level gauge identification method based on a patrol inspection robot

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Embodiment Construction

[0052] A method for identifying a transformer oil level gauge based on an inspection robot, comprising the following steps:

[0053]Step 1. For each inspection point, select an image centered on the instrument taken at the inspection point as a template image, and the inspection robot goes to the inspection point to obtain a picture of the instrument to be inspected;

[0054] Step 2. Carry out rough positioning and precise positioning of the target instrument area to be detected, and screen the target candidate area to obtain the final target, specifically:

[0055] Step 2.1, use Merlin Fourier transform and phase correlation technology to roughly locate the target instrument area in the picture of the instrument to be detected;

[0056] Step 2.2, use the machine learning method to accurately locate the target instrument area, send the image to be detected to the trained classifier, and obtain several target candidate areas; the trained classifier is a classifier trained using...

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Abstract

The invention discloses a transformer oil level gauge identification method based on a patrol inspection robot. The detection process fuses the positioning information of the patrol inspection robot.The processing flow is as follows: (1) the patrol inspection robot goes to the patrol inspection point, locates the instrument and takes pictures; (2) roughly positioning and accurately positioning the target instrument area to be detected, and screening the target candidate area to obtain the oil level gauge image; (3) performing grayscale treatment on the image; (4) The oil level region is extracted according to the obvious difference between the oil level region and the background region when the color of the oil level region and the background region are not used and converted into the gray scale; 5) according to that difference in shape and brightness, the oil level gauge block is extracted by using the contour segmentation, and the numerical value is calculated from the upper and lower boundaries of the oil level gauge area and the position of the block; The invention utilizes machine learning, and can detect and identify the transformer oil level gauge under various illuminationand attitude changes.

Description

technical field [0001] The invention relates to the field of electric inspection robots, in particular to a method for identifying transformer oil level gauges based on inspection robots. Background technique [0002] The power inspection robot needs to realize the basic functions such as autonomous positioning and navigation in the substation, field instrument display number recognition, and automatic charging. The core function is to detect and identify the indications of instruments and meters of on-site electrical equipment. [0003] At present, it is difficult for the power inspection robot to detect and identify the transformer oil level gauge. Due to cost and historical reasons, most transformer oil level gauges do not have the remote transmission function of smart meters, and inspection robots can only read the instrument indications through computer vision. The premise of accurately identifying the transformer oil level gauge is to accurately detect the position o...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46G06K9/20G06T1/00
CPCG06T1/0014G06V10/22G06V10/50G06F18/2163
Inventor 郭健黄紫霄李胜吴益飞宋恺袁佳泉施佳伟朱禹璇危海明王艳琴
Owner NANJING UNIV OF SCI & TECH
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