基于电容传感器的CO_(2)气液两相流流型识别  

Flow pattern identification of CO_(2)gas-liquid two-phase flow based on capacitive sensor

作　　者：孙采鹰[1,2] 闫勇 张文彪[2] SUN Caiying;YAN Yong;ZHANG Wenbiao(School of Automation and Electrical Engineering,Inner Mongolia University of Science&Technology,Baotou 014010,China;School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;School of Engineering,University of Kent,Canterbury CT27NT,UK)

机构地区：[1]内蒙古科技大学自动化与电气工程学院,内蒙古包头014010 [2]华北电力大学控制与计算机工程学院,北京102206 [3]英国肯特大学工程学院,英国坎特伯雷CT27NT

出　　处：《传感器与微系统》2024年第6期145-148,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61973113,62073135);内蒙古自然科学基金资助项目(2021MS06008)。

摘　　要：为了实现碳捕捉与封存(CCS)管道内CO_(2)流量的精确测量,需要对CO_(2)的流型进行辨识。基于递归定量分析和模糊C均值(FCM)聚类算法,建立了CO_(2)气液两相流的流型识别模型。提出利用小波变换在多尺度下分析CO_(2)气液两相流电容信号递归图结构特性的方法,对各个尺度下的递归图分别进行定量分析,提取出不同流型下CO_(2)流动的电容传感器递归特征参数。采用FCM算法,对特征参数进行流型聚类,完成了对CO_(2)气液两相流的分层流、气泡流和雾状流3种流型的识别。It is necessary to identify the flow pattern of CO_(2) in order to accurately measure its flow in the pipeline under carbon capture and storage(CCS)conditions.A flow pattern identification model of CO_(2) gas-liquid two-phase flow is established based on recurrence quantitative analysis and fuzzy C-mean(FCM)clustering algorithm.The method for analyzing structure characteristics of recurrence plots of capacitive signal of CO_(2) gas-liquid two-phase flow in multiple scales using wavelet transforms is proposed and the recurrence plot at each scale is quantitatively analyzed to extract the recurrence characteristic parameters of capacitive sensors for CO_(2) flow in different patterns.Using the FCM clustering algorithm to cluster characteristic parameters by flow pattern,identification of CO_(2) gas-liquid two-phase flow patterns,i.e.stratified flow,bubble flow,and mist flow,are achieved.

关 键 词：流型识别 电容传感器 递归图 模糊聚类 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]