Gas-liquid two-phase flow pattern hierarchical fuzzy identification based on high-speed photography sensor

CHANG Dian-kang; XUE Ting; ZHANG Yi-ting

doi:10.13873/J.1000-9787(2016)11-0058-03

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Gas-liquid two-phase flow pattern hierarchical fuzzy identification based on high-speed photography sensor

更新时间：2025-09-11

- Gas-liquid two-phase flow pattern hierarchical fuzzy identification based on high-speed photography sensor
- Vol. 35, Issue 11, Pages: 58-60(2016)
- 作者机构：
  
  1. 天津大学电气与自动化工程学院
  2. 天津市过程控制检测与控制重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)11-0058-03
  CLC： O359;TP212
- Published：2016
- 稿件说明：
移动端阅览
[1]常佃康,薛婷,张旖婷.基于高速摄影传感器的气液两相流型分层模糊识别[J].传感器与微系统,2016,35(11):58-60.

CHANG Dian-kang, XUE Ting, ZHANG Yi-ting. Gas-liquid two-phase flow pattern hierarchical fuzzy identification based on high-speed photography sensor[J]. 2016, 35(11): 58-60.
[1]常佃康,薛婷,张旖婷.基于高速摄影传感器的气液两相流型分层模糊识别[J].传感器与微系统,2016,35(11):58-60. DOI： 10.13873/J.1000-9787(2016)11-0058-03.

CHANG Dian-kang, XUE Ting, ZHANG Yi-ting. Gas-liquid two-phase flow pattern hierarchical fuzzy identification based on high-speed photography sensor[J]. 2016, 35(11): 58-60. DOI： 10.13873/J.1000-9787(2016)11-0058-03.

摘要

气液两相流流型的客观和智能识别对两相流其它参数测量具有重要意义。用高速摄像机作为检测传感器

获取内径为50 mm的绝热垂直管段内气液两相流流型图像

提取流型灰度图像的均值、标准差及二值图像的最大物体面积、宽度和高度五个特征向量

采用分层模糊推理方法实现泡状流、块状流、塞状流和乳沫状流的流型识别。对于131幅实验图像

该方法的识别正确率平均达到93.13%。

Abstract

Objective and intelligent identification of gas-liquid two phase flow pattern have important meaning for other parameters measurement. High-speed camera is used as detecting sensor to capture two-phase flow patterns image in adiabatic vertical section whose inner diameter is 50 mm

extract five eigenvectors of mean and standard deviation of gray image

and area

width

height of the max object of binary image; use hierarchical fuzzy reasoning method to identify bubble flow

slug flow

plug flow and churn flow patterns. For 131 experimental images

the average identification accuracy of this method is 93. 13 %.

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references

基于平面靶的多气泡虚拟三维测量系统标定 [J]. 薛婷,黄剑,曲立群,葛鹏辉. 天津大学学报(自然科学与工程技术版) . 2014(05)

气液两相流波动系数及其在流型识别中的应用 [J]. 梁强,周洪亮,张宏建,孙斌,岳伟挺. 浙江大学学报(工学版) . 2007(11)

基于图像处理和Elman神经网络的气液两相流流型识别 [J]. 周云龙,陈飞,刘川. 中国电机工程学报 . 2007(29)

基于图像处理的气液两相流流型识别 [J]. 施丽莲,蔡晋辉,周泽魁. 浙江大学学报(工学版) . 2005(08)

Application of high speed imaging as a novel tool to study particle dynamics in tubular membrane systems [J] . Ralph Lindeboom,Geo Smith,David Jeison,Hardy Temmink,Jules B. van Lier. Journal of Membrane Science . 2010 (1)

Flow pattern, void fraction and pressure drop of two-phase air–water flow in a horizontal circular micro-channel [J] . Sira Saisorn,Somchai Wongwises. Experimental Thermal and Fluid Science . 2007 (3)

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