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19th International Flow Measurement Conference 2022, FLOMEKO 2022

作者： Sun, Cenwei Xu, Ying Yuan, Chao Li, Tao Ma, Huimin Zhang, Yumeng Ba, Xili Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin China PetroChina Planning & Engineering Institute Beijing China

ISBN: (纸本)9781713871989

With the development of the gas-liquid two phase flow dynamics theory and the continuous improvement of two phase flowrate measurement requirements, the importance of slug flow research has become increasingly prominent. The wire mesh sensor (WMS), which consists of the perpendicular "cross-point" between the transmitting wires and receiving wires, forms a particular "hard field" measurement mode. This paper aims to investigate the measurement characteristics and accuracy of a 16×16-electrode conductivity WMS with a spatial resolution of 3.125mm for gas-liquid two phase slug flow by means of flow experiments. Experiments were performed in a 50 mm horizontal pipe with air and water as the working medium at atmospheric conditions, meanwhile, the time series data were collected by WMS. Comparing the cross sectional, a good correspondence can be found in the cross sectional direction between axial reconstructed images of fluid distribution and averaged void fraction time series. The WMS can realize the quantitative measurement of local void fraction and the qualitative spatial phase reconstruction of fluid distribution. Furthermore, distribution characteristics of the cross sectional averaged void fraction time series of gas-liquid two phase slug flow were analyzed. We found when superficial gas velocity is less than 3 m/s, the gas phase mainly exists in the form of elongate gas slug. When superficial gas velocity is around 5 m/s, it appears as typical bullet-shape gas slug. As superficial gas velocity increases to 10 m/s, the liquid slug becomes blurred and the gas phase almost penetrates through the liquid slug structures. In addition, a Probability Density Function (PDF) is generated from the instantaneous cross sectional averaged void fraction data for different flow regime conditions. The results show that the PDFs for lower superficial gas velocity case (3 m/s), two peaks in the void fraction signal are observed. Nevertheless, with an increase in superficial gas v

关键词： Void fraction

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The research on discharge coefficient of a non-standard Venturi meter with a swirler 19

The research on discharge coefficient of a non-standard Vent...

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19th International Flow Measurement Conference 2022, FLOMEKO 2022

作者： Zhang, Yumeng Xu, Ying Yuan, Chao Li, Tao Ma, Huimin Sun, Cenwei Wen, Yunhao Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin China Petrochina Planning&Engineering Institute China

ISBN: (纸本)9781713871989

Flow measurement plays an important role in the modern engineering field. And flow rate is one of the most important parameter in this process. One traditional method of deriving flow rate is measuring the pressure difference (DP) along the pipe while the concerned fluid flowing through a DP instrument, such as Venturi meter. This DP instrument is among the most widely used flow measurement instruments, available in plumbing, energy transport pipeline, petroleum chemical industries, etc. In this research, a non-standard Venturi structure is proposed to satisfy the measurement demand of the inlet multi-phase flow with complex flow pattern. Compared to the standard Venturi meter, the angles of the divergent and the convergent of the proposed device are changed to obtain a shorter pipeline. Besides, a swirler is also placed into the convergent, which would force the flow to swirl with tangential velocity and adjust the inlet gas-liquid two phase flow to annular flow. The focus of the study is directed toward the pressure profile and the discharge coefficient Cd of the proposed structure. Computational simulation of single phase flow is carried out to measure the pressure drop along x-axis via FLUENT. According to the simulation results, the addition of swirler brings an extra pressure drop in advance. At the end of the throat, there is a sudden drop of pressure, decreasing to the lowest point, which is caused by the characteristics of the precession vortex. Then the final static pressure value is obviously lower than the initial static pressure value. © FLOMEKO *** rights reserved

关键词： Chemical industry

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A Void Fraction Measurement Method of Gas-water Flow Based on Microwave Method 19

A Void Fraction Measurement Method of Gas-water Flow Based o...

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19th International Flow Measurement Conference 2022, FLOMEKO 2022

作者： Ma, Huimin Xu, Ying Yuan, Chao Li, Tao Sun, Cenwei Zhang, Yumeng Wang, Nianrong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin China PetroChina Planning & Engineering Institute Beijing China

ISBN: (纸本)9781713871989

In the natural gas industry, measuring void fraction with high accuracy is challenging, because the flow pattern of gas-flow is complicated and changeable. This research presents a microwave sensor to measure void fraction of gas-water flow based on the microwave transmission line method. The sensor contains horizontal and vertical electrodes resulting in a spatial orthogonal transmission line combination structure, so that the gas-water flow regime can be detected and its influence on the measurement can be accounted for. The electromagnetic fields inside the sensor for stratified and annular distribution structure are simulated and analyzed using COMSOL software. Furthermore, the variation characteristics of the horizontal and vertical electrode phase outputs of the stratified distribution structure are investigated by static experiments. Finally, flow experiments covering stratified, wavy, slug, annular gas-water flow regimes, indicates that the void fraction are positive correlated to the sensor outputs and can be predict by the sensor. © FLOMEKO *** rights reserved

关键词： Void fraction

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Carboxymethylation of the polysaccharide from the fermentation broth of Marasmius androsaceus and its antidepressant mechanisms

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Food Science and Human Wellness 2023年第6期12卷 2417-2427页

作者： Yu Qiu Yan Su Jia Song Fangming Mou Jia Gou Xiaoqi Geng Xinyue Li Zhiqiang Nie Jianxin Wang Yu Zheng Min Wang State Key Laboratory of Food Nutrition and Safety Tianjin Engineering Research Center of Microbial Metabolism and Fermentation Process ControlCollege of BiotechnologyTianjin University of Science&TechnologyTianjin 300457China Key Laboratory of Chemical Biology and Molecular Engineering Ministry of EducationInstitute of BiotechnologyShanxi UniversityTaiyuan 030006China Wisconsin Center for NanoBioSystems School of PharmacyUniversity of Wisconsin-MadisonMadisonWI 53706USA Pharmaceutical Sciences Division School of PharmacyUniversity of Wisconsin-MadisonMadisonWI 53706USA

To investigate the structure-activity relationship of polysaccharide and obtain a better antidepressant polysaccharide,the antidepressant-like activity of a carboxymethyl polysaccharide(C-MEPS2)subjected to submerged fermentation was systematically ***12-H cell and Kunming mice were used to investigate the differences and their mechanism in the antidepressant effects of C-MEPS2 and *** experiments have showed that C-MEPS2 has a better antidepressant effect than MEPS2.C-MEPS2 could exert antidepressant effects related to catecholamine synthesis with specifi c sites of TH,D2DR,and *** addition,C-MEPS2 could repair the Res-induced damage in PC12-H cell,stabilize the mitochondrial membrane potential and regulate intracellular Ca^(2+) concentration,thus reducing cell apoptosis caused by *** common dosing experiments on animals further proved that CMEPS2 could signifi cantly improve the antidepressant effect of derivatives without affecting the antidepressant mechanism of *** is speculated that it may be related to carboxymethylated modifi cation.

关键词： Carboxymethyl polysaccharide Anti-depressant Catecholamine

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Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method

arXiv

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arXiv 2025年

作者： Zhang, Zhong-Yi Xu, Chen-Yang Zhao, Li-Xuan Hou, Hui-Rang Meng, Qing-Hao Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University Tianjin300072 China

Electroencephalogram (EEG) is a non-invasive tool for real-time neural monitoring, widely used in depression detection via deep learning. However, existing models primarily focus on binary classification (depression/normal), lacking granularity for severity assessment. To address this, we proposed the DepL-GCN, i.e., Depression Level classification based on GCN model. This model tackles two key challenges: (1) subjectivity in depression-level labeling due to patient self-report biases, and (2) class imbalance across severity categories. Inspired by the model learning patterns, we introduced two novel modules: the sample confidence module and the minority sample penalty module. The former leverages the L2-norm of prediction errors to progressively filter EEG samples with weak label alignment during training, thereby reducing the impact of subjectivity;the latter automatically upweights misclassified minority-class samples to address imbalance issues. After testing on two public EEG datasets, DepL-GCN achieved accuracies of 81.13% and 81.36% for multi-class severity recognition, outperforming baseline models. Ablation studies confirmed both modules’ contributions. We further discussed the strengths and limitations of regression-based models for depression-level recognition. Copyright © 2025, The Authors. All rights reserved.

关键词： Electroencephalography

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Monascus vinegar alleviates high-fat-diet-induced inflammation in rats by regulating the NF-κB and PI3K/AKT/mTOR pathways

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Food Science and Human Wellness 2022年第4期11卷 943-953页

作者： Huanmei Meng Jia Song Bingqian Fan Yingqi Li Jiaojiao Zhang Jinping Yu Yu Zheng Min Wang State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Fermentation MicrobiologyTianjin Engineering Research Centre of Microbial Metabolism and Fermentation Process ControlCollege of BiotechnologyTianjin University of Science&TechnologyTianjin 300457China Shandong Engineering Research Centre of Condiment Fermentation Technology Shandong Yutu Co.LtdZibo 255300China

Monascus vinegar(MV) is a typical fermented food with various health-promoting effects. This study aimed to evaluate the role of MV in alleviating high-fat-diet-induced inflammation in rats with hyperlipidemia and elucidate the possible regulatory mechanisms. In the study, serum lipid profiles, liver pathology and liver inflammatory cytokines were analyzed in hyperlipidemia rats with MV(0.5 mL/kg mb, 2 mL/kg mb). Results showed that the administration of MV alleviated dyslipidemia by decreasing the serum and liver levels of triglyceride and total cholesterol. Increase in hepatic lipase and carnitine palmitoyl transferase 1(CPT-1)levels and decrease in hepatocyte steatosis, nephritis, and intestinal tissue injury in the HD group showed that high-dose MV can significantly suppress hepatic lipid accumulation and steatosis. In addition, compared with the model(MOD) group, the HD group showed significantly down-regulated the level of serum or hepatic alanine aminotransferase(ALT), aspartate aminotransferase(AST), CPT-1, interleukin(IL)-2, IL-6, IL-12,and tumor necrosis factor α(TNF-α). Moreover, the HD group showed repressed hepatic nuclear factor κB(NF-κB) pathway and inactivated phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR) pathway mitigated liver inflammation. Similar results were obtained from cell experiments. Collectively, these findings revealed that MV might attenuate high-fat-diet-induced inflammation by inhibiting the NF-κB and PI3K/Akt/mTOR pathways.

关键词： Monascus vinegar Hyperlipidemia Inflammation NF-κB PI3K/AKT/mTOR

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Gas-water Two-phase Flow Status Identification Based on Jointly Specific and Shared Dictionary Learning

Gas-water Two-phase Flow Status Identification Based on Join...

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第42届中国控制会议

作者： Wentao Wu Shumei Zhang Chao Tan Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

Gas-water two-phase flow is a complex and changeable process,which widely exists in a variety of industrial *** gas-water two-phase flow has complex flow characteristics and fluid structure,which can be changed into different flow *** are both differences and similarities among various flow *** order to realize the accurate identification of gas-water two-phase flow,a jointly specific and shared dictionary learning(JSSDL) method is *** on multi-sensor data,the specific discrimination dictionary for different flow statuses and the shared dictionary for similar characteristics are established respectively to solve the problem of gas-water two-phase flow status *** the horizontal gas-water two-phase flow circuit,the effectiveness of the method is verified by experiments.

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E-Nose-Based Domain-Generalization Recognition of Ignitable Liquids

E-Nose-Based Domain-Generalization Recognition of Ignitable ...

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第43届中国控制会议

作者： Tian-Shu Song Zhen-Peng Chen Hui-Rang Hou Hong-Yue Li Qing-Hao Meng Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Detecting ignitable liquids(ILs) at the scene of a fire is crucial for fire investigation. The electronic nose(e-nose) is crucial for detecting ILs due to its affordability and rapid response time. process limitations and changes in environmental conditions can cause variations in the reactions of multiple e-noses with the same sensor array to the same input gas. This can significantly reduce the accuracy of identifying ILs when deploying a model trained on one e-nose to other e-noses. In order to tackle the issue of cross-platform identification of ILs using e-noses, we developed a feature mute gated network(FMG-Net).This network is capable of maintaining consistency in the shared components of different e-noses at the low-level feature level while effectively muting the distinct low-level features. FMG-Net is comprised of a main network and multiple branch networks that are specific to different domains. Initially, a subsidiary domain-specific convolutional neural network(SDS-CNN) is trained to learn the network parameters on various e-nose platforms with known labels. Additionally, the backbone network generates low-level features of the e-nose responses. Furthermore, the SDS-CNN incorporates random input of low-level features and generates a mask using the gradient. This mask is then used to explicitly remove the non-overlapping parts of the low-level features. At last, the low-level features are sent back to the backbone network for further training once the non-overlapping parts have been removed. Experiments were conducted to identify four types of ILs(diesel, gasoline, ethanol, and thinner) using five self-made e-nose platforms with identical sensor arrays. The results indicated that the proposed FMG-Net consistently outperforms other domain-generalization algorithms in terms of recognition accuracy and parameter sizes. FMG-Net has the ability to detect volatile gases in ILs using an e-nose, even without the need for a dataset.

关键词： Electronic Nose Fire Investigation Ignitable Liquids Convolutional Neural Network Cross Platform

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Multi-block Integrated Monitoring of Gas-liquid Two-Phase Flow Based on Conductance Signal Analysis

Multi-block Integrated Monitoring of Gas-liquid Two-Phase Fl...

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第42届中国控制会议

作者： Zhao Li Shumei Zhang Chao Tan Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

The state monitoring of gas-liquid two-phase flow with complex and diverse structures is the key to ensure the safe and stable operation of related industrial *** order to achieve effective monitoring with limited sensing equipment,a multi-block integrated monitoring strategy for gas-liquid two-phase flow based on conductance signal analysis in time,frequency and multiscale domain is ***-block information including water holdup in time-domain,continuous wavelet transforms(CWT) based coarse scale approximation(CSA) coefficients in frequency-domain and CWT based local wavelet energy(LWE) coefficient maps in multiscale-domain are used for block-based modeling and *** the original structure of each block,the traditional principal component analysis(PCA) is adopted to model and monitor 1-D information including water holdup and CSA coefficients,while the tensor PCA is adopted for the 2-D LWE coefficient ***-block monitoring results are integrated through Bayesian inference to realize final *** dynamic experiment results demonstrate that the proposed multi-block integrated monitoring outperforms single-block information monitoring.

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Investigation of Elongated Bubble Centring in Slug Flow Based on Image processing

Investigation of Elongated Bubble Centring in Slug Flow Base...

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第42届中国控制会议

作者： Ting Xue Yuqing Yuan College of Electrical and Information Engineering Tianjin Key Laboratory of Process Measurement and Control Tianjin University

The intermittent slug flow in horizontal circular pipes occurs commonly in industrial applications such as pipeline transportation and nuclear reactor cooling. The phenomenon of elongated bubble centring in slug flow can affect the bubble interface morphology, resulting in fluctuations of characteristic parameters. Therefore, it is important to acknowledge the extent to which bubble centring occurs and the possible influencing factors. This paper aims to investigate the elongated bubble centring in moderately sized pipes based on the laser-induced fluorescence method. A new image processing procedure is developed to measure the centring degree. A novel segmentation method is proposed to improve measurement accuracy by combining the global threshold algorithm with the Grey Wolf Optimization. The statistical analysis shows a positive correlation between the Froude number and the degree of bubble centring. Furthermore, the effect of superficial flow rate ratios is explored in the cases of similar Froude numbers. Finally, the results are verified by the models and the experimental data previously published.

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