[1]包建国,邱鹏程,蒋兴福,等.基于图像分割的蒸发器二次侧管板清洗喷嘴自适应定位[J].机械与电子,2021,(11):3-7.
　BAO Jianguo,QIU Pengcheng,JIANG Xingfu,et al.Adaptive Positioning of Tubeplate Cleaning Nozzle on Secondary Side of Evaporator Based on Image Segmentation[J].Machinery & Electronics,2021,(11):3-7.
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基于图像分割的蒸发器二次侧管板清洗喷嘴自适应定位()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年11期
页码:
3-7
栏目:
设计与研究
出版日期:
2021-11-24

文章信息/Info

Title:
Adaptive Positioning of Tubeplate Cleaning Nozzle on Secondary Side of Evaporator Based on Image Segmentation
文章编号:
1001-2257 ( 2021 ) 11-0003-05
作者:
包建国 1 ; 邱鹏程 2 ; 蒋兴福 1 ; 杨 斌 1
1. 核动力运行研究所,湖北 武汉 430223 ; 2. 中国地质大学(武汉),湖北 武汉 430074
Author(s):
BAO Jianguo1 ; QIU Pengcheng2 ; JIANG Xingfu1 ; YANG Bin1
(1.Research Institute of Nuclear Power Operation , Wuhan 430223 , China ;2.China University of Geosciences ( Wuhan ), Wuhan 430074 , China )
关键词:
图像分割; 全卷积神经网络; 轮廓分析; 自适应定位
Keywords:
image segmentation ;  fully convolutional neural network ;  contour analysis ;  adaptive positioning
分类号:
TP391.41
文献标志码:
A
摘要:
针对在核电蒸发器二次侧传热管管板清洗过程中清洗喷嘴定位困难的问题,提出了一种基于图像分割的清洗喷嘴自适应定位方法。清洗喷嘴与摄像头以固定距离偏置安装,通过设计一个轻量级的全卷积神经网络语义分割模型对摄像头采集的传热管图像进行实时分割,得到完整的传热管轮廓;然后对轮廓进行分析,获得传热管中心像素位置和位置偏差;最后完成位置偏差补偿,实现清洗喷嘴的自适应定位。经过与多种网络模型的类比实验可知,该网络模型计算效率高以及分割性能优异,可快速准确实现清洗喷嘴在蒸发器内的自适应定位。
Abstract:
Aiming at the difficulty of locating the cleaning nozzle in the cleaning process of the secondary side heat transfer tube plate of nuclear evaporator , an adaptive locating method of the cleaning nozzle based on image segmentation was proposed.The cleaning nozzle and camera are mounted with fixed distance bias.A lightweight full convolutional neural network semantic segmentation model was designed to segment the heat transfer tube image from the camera in real time , and the complete heat transfer tube contour was obtained.Then the contour is analyzed for the pipe center pixel location and position deviation , the final location deviation compensation is completed to realize adaptive localization of cleaning nozzle.The simulation experiments with many network models show that this network model has high computational efficiency and excellent segmentation performance , and can quickly and accurately realize the adaptive positioning of the cleaning nozzle in the evaporator.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-07-22
基金项目:自然科学基金国家重大科研仪器项目( 41827808 );教育部新工科研究与实践项目( E-SZNL20200709 );教育部产学合作协同育人项目( 201801086934 )
作者简介:包建国 ( 1989- ),男,湖北孝感人,工程师,研究方向为核电检修专用工具开发,通信作者;邱鹏程 ( 1996- ),男,湖北恩施人,硕士,研究方向为图像处理与机器视觉;蒋兴福 ( 1986- ),男,湖北潜江人,工程师,研究方向为核电检修专用工具开发;杨 斌 ( 1980- ),男,湖北宜昌人,高级工程师,研究方向为核电检修专用工具开发。
更新日期/Last Update: 2021-12-02