抑压水池淹没射流图像自动处理与分析

彭杵真; 陈俊宇; 王升飞

doi:10.13832/j.jnpe.2023.01.0067

抑压水池淹没射流图像自动处理与分析

doi: 10.13832/j.jnpe.2023.01.0067

1.
华北电力大学核科学与工程学院，北京，102206
2.
西安交通大学热流科学与工程教育部重点实验室，西安，710049

基金项目: 国家自然科学基金项目（11805068）；中央高校基本科研业务费专项资金（2020MS030)

详细信息

作者简介:
彭杵真（2001—），男，大学本科，现从事反应堆热工水力和数值计算方向研究，E-mail: ouyyhuan@foxmail.com

通讯作者:
王升飞，E-mail: 51201848@ncepu.edu.cn

中图分类号: TL33
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- 文章访问数: 338
- HTML全文浏览量: 106
- PDF下载量: 45
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-19
- 修回日期: 2022-10-12
- 刊出日期: 2023-02-15

Automatic Processing and Analysis of Submerged Jet Image in Suppression Pool

1.
School of Nuclear Science and Engineering, North China Electric Power University, Beijing, 102206, China
2.
Key Laboratory of Thermal Fluid Science and Engineering of MOE, Xi’an Jiaotong University, Xi’an, 710049, China

摘要

摘要: 抑压水池中淹没射流导致的喘振现象对抑压系统的可靠性有较大影响，而气泡行为直接关系到喘振的机理。为更好地识别喘振现象中的气泡行为，本文提出了一种基于改进的分水岭图像分割算法的蒸汽淹没射流图像自动处理方法。基于像素矩阵建立微分模型，提取气泡二维信息并近似估计三维信息，进而获取射流体积变化情况。借助图像灰度方差信息，提取气泡冷凝周期。算法提高了射流气泡的识别精度。通过与人工标定比对，图像区域识别误差控制在10%以内；经验证，简化椭圆模型计算图像投影面积的相对误差较小；气泡参数与冷凝周期提取结果符合实验表征与理论规律。
- 抑压水池 /
- 淹没射流 /
- 直接接触冷凝 /
- 图像算法
Abstract: The surge caused by submerged jets in the suppression pool has a major impact on the reliability of the suppression system. And the bubble behavior is directly related to the mechanism of the surge. In order to better identify the bubble behavior in the surge phenomenon, an automatic image processing method of steam submerged jet based on improved watershed image segmentation algorithm is proposed. The differential model is established based on the pixel matrix, the two-dimensional information of the bubble is extracted and the three-dimensional information is approximately estimated, and then the variation of the jet volume is obtained. The bubble condensation period is extracted by using the gray variance information of the image. The algorithm improves the identification accuracy of jet bubbles. Compared with manual calibration, the error of image area recognition is controlled within 10%; It is proved that the relative error of image projection area calculated by the simplified ellipse model is small, and the extraction results of bubble parameters and condensation period are consistent with the experimental characterization and theoretical law.
- Suppression pool /
- Submerged jet /
- Direct contact condensation /
- Image algorithm

HTML全文

图 1 实验装置示意图

Figure 1. Schematic Diagram of Experimental Device

下载: 全尺寸图片幻灯片

图 2 标记矩阵颜色映射图

Figure 2. Color Map of Marker Matrix

下载: 全尺寸图片幻灯片

图 3 邻接识别修正示意图

Figure 3. Schematic Diagram of Adjacency Recognition Correction　　　　　　

下载: 全尺寸图片幻灯片

图 4 标记矩阵修正前后对比图

Figure 4. Comparison Figure Before and After Marker Matrix Correction

下载: 全尺寸图片幻灯片

图 5 暗区处理示意图

Figure 5. Schematic Diagram of Dark Area Processing

下载: 全尺寸图片幻灯片

图 6 周期内方差变化对照图

Figure 6. Comparison Chart of Variance Changes within a Period　　　　　

下载: 全尺寸图片幻灯片

图 7 气泡微元分割示意图

Figure 7. Schematic Diagram of Bubble Microelement Segmentation

下载: 全尺寸图片幻灯片

图 8 包裹型气泡准确率分析图

Figure 8. Accuracy Analysis Chart of Encapsulated Bubbles

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图 9 非包裹型气泡准确率分析图

Figure 9. Accuracy Analysis Chart of Non-encapsulated Bubbles　　　　　　　

下载: 全尺寸图片幻灯片

图 10 气泡体积变化图

Figure 10. Bubble Volume Change Chart

下载: 全尺寸图片幻灯片

表 1 实验装置参数

Table 1. Experimental Device Parameters

参数名	参数值
锅炉压力/ MPa	0.3
水温/℃	24
管口淹没深度/ cm	25
连通管径/ mm	15
高速摄影仪分辨率	1920×1080
帧率/ Fps	1000
曝光时间/μs	100
Fps—每秒传输的帧数

下载: 导出CSV

表 2 误差汇总

Table 2. Error Summary

流型	流量/(m³·h⁻¹)	识别误差/%	简化为椭圆相对误差/%
包裹型	3.4	8.28	3.71
非包裹型	4.6	9.83	2.15

下载: 导出CSV

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