Image measurement of weld beads on small diameter tube outside the supercritical carbon dioxide boiler

YANG Xianbiao; YANG Chao; YANG Qingxu; YUE Xianqiang; SHI Renqiang; WANG Lihui

doi:10.19666/j.rlfd.202005125

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Image measurement of weld beads on small diameter tube outside the supercritical carbon dioxide boiler

Thermal Power Generation Vol. 49, Issue 12, Pages: 22-27(2020)

更新时间：2025-09-28

- Image measurement of weld beads on small diameter tube outside the supercritical carbon dioxide boiler
- 作者机构：
  
  1. 江苏方天电力技术有限公司
  2. 东南大学仪器科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202005125
  CLC： TN911.73;TP391.4
- Published Online：01 December 2020，
  
  Published：2020
- 稿件说明：
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YANG Xianbiao, YANG Chao, YANG Qingxu, et al. Image measurement of weld beads on small diameter tube outside the supercritical carbon dioxide boiler[J]. Thermal Power Generation, 2020, 49(12): 22-27.
DOI：

YANG Xianbiao, YANG Chao, YANG Qingxu, et al. Image measurement of weld beads on small diameter tube outside the supercritical carbon dioxide boiler[J]. Thermal Power Generation, 2020, 49(12): 22-27. DOI： 10.19666/j.rlfd.202005125.

摘要

针对超临界二氧化碳发电站锅炉小径管焊瘤尺寸图像测量算法准确性低的问题

提出一种基于迭代最大熵阈值分割的焊瘤尺寸测量算法

涉及内管壁提取、内焊缝分割和焊瘤检测3部分。通过自适应阈值化和概率Hough算法检测管壁竖直线

对图像裁剪得到内管壁区域;采用UNet语义分割算法获取通孔区域分割掩模

根据通孔边缘和先验约束拟合出内焊缝壁椭圆;在内焊缝壁椭圆中

采用迭代最大熵阈值分割算法分割出焊瘤区域

并计算焊瘤尺寸。实验结果表明:焊瘤数目检测准确率达96.79%

焊瘤尺寸准确率达95.07%

能够对焊瘤特性进行精确测量。

Abstract

Focusing on the low accuracy of weld size measurement algorithm in the radiographic image of small diameter tube placed outside the supercritical CO_2 boiler

a size measurement algorithm based on maximum entropy threshold segmentation is proposed. The proposed method mainly includes three parts: inner wall extraction

welding area segmentation and weld detection. Firstly

the vertical line of pipe wall is detected by adaptive thresholding and probabilistic Hough transform(PHT)

and then the image is cropped to get the inner weld wall region. UNet semantic segmentation algorithm is used to obtain the through-hole region segmentation mask

and the inner weld wall ellipse is fitted according to the through-hole edge and prior constraints. Furthermore

the weld area is precisely segmented by the maximum entropy threshold to calculate the weld size in the weld detection module. The experimental results show that

the accuracy of welding beads' number reaches 96.79%

and the accuracy of welding beads' dimensions reaches 95.07%

indicating the size of weld beads can be measured accurately.

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