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Efficient extraction of phenol from wastewater by ionic micro-emulsion method:Anionic and cationic

Chinese Journal of Chemical engineering 2023年第6期58卷 137-145页

作者： Chaobo Zhang Xiaoyong Yang Jian Dai Wenxia Liu Hang Yang Zhishan Bai State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China

Phenolic wastewater is one of the priorities in the field of wastewater treatment,which poses a serious threat to the human health and nature *** this paper,cationic cetyltrimethylammonium bromide(CTAB)and anionic sodium oleate(Na OL)microemulsions were utilized to extract phenol from the *** optimal extraction factors were investigated by exploring the effects of microemulsion composition ratio and extraction conditions on the phenol extraction ***,the enhanced extraction mechanism of phenol by cations microemulsions is illustrated by studying the extraction process of cationic and anionic microemulsions in the extraction of *** optimum components were obtained:surfactant concentration of 0.2 mol·L^(-1),isoamyl alcohol volume of 30%,internal aqueous phase concentration of CTAB microemulsion of 0.05 mol·L^(-1),and internal aqueous phase concentration of Na OL microemulsion of 0.09 mol·L^(-1).The extraction efficiencies were 96.44%and 82.0%when using CTAB and Na OL microemulsions under optimal conditions(water-emulsion ratio of 5,contact time of 9 min,extraction temperature of 298.15 K,and p H of 9),confirming the enhanced extraction of phenol by CTAB cationic *** was analyzed that the enhanced extraction of CTAB microemulsion was due to the electrostatic adsorption of cations with phenol root ions.

关键词： Phenol-containing wastewater Phenol recovery Microemulsion extraction Ionic microemulsion Mechanism analysis

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Study of the multi-physics field-coupled model of the two-stage electrostatic precipitator

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Building Simulation 2024年第3期17卷 387-398页

作者： Wenjia Hao Yu Guo Yukun Wang Tao Yu Hao Gao Zhengwei Long Tianjin Key Laboratory of Indoor Air Environmental Quality Control School of Environmental Science and EngineeringTianjin UniversityWeijin Road 92Tianjin300072China Wuhan Second Ship Design and Research Institute WuhanChin

The two-stage electrostatic precipitator is widely used to purify oil mist ***,there is limited research on the influences of relative humidity,particle deposition characteristics,and the generation of gaseous ***,this paper established a numerical model of the electrostatic oil mist purifier and applied it to a two-stage electrostatic *** the model was used to investigate the corona discharge characteristics under different relative humidity conditions in the charged zone,the particle deposition characteristics,the purification efficiency,the ozone concentration distribution,and the oil vapor concentration distribution in the collection *** results indicate that,with a constant temperature,the corona current decreases as relative humidity increase,and there is a quadratic relationship between relative humidity and *** variation in relative humidity has little impact on the purification *** maximum ozone concentration occurs near the electrode line,and its concentration is influenced by the discharge current and inlet airflow *** oil vapor concentration reaches its maximum value at the side plates,with a value of 19 ppb,while it reaches the minimum value at the collecting zone electrode plate,with a value of 2 *** temperature is the main factor affecting the volatilization of the oil film,with higher temperatures resulting in higher oil vapor.

关键词： two-stage ESPs particle deposition corona discharge oil vapor

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Research of Surface Floating Object Detection Method Based on Improved YOLOv4 8

Research of Surface Floating Object Detection Method Based o...

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Tang, Wei Xu, Dahai Shaanxi University of Science and Technology School of Electrical and Control Engineering Xi'an China

ISBN: (纸本)9798350302455

This paper proposes an improved YOLOv4 water surface floating object detection method to address the problem that floating objects on the water surface are difficult to detect due to their small size and existing detection algorithms are computationally intensive and difficult to run in real time on embedded devices. The specific idea is to use the MobileNetV3 network to replace the backbone network in YOLOv4;at the same time, negative feedback is introduced, and the proportion of the loss of small-sized targets in the overall loss during the training process is used as feedback, so that selective data enhancement can be performed to improve the detection accuracy of small-sized targets. The experimental results show that compared with the traditional YOLOv4 algorithm, the model parameter number of the proposed algorithm is reduced by 82.4% and the detection speed is improved by 52%. © 2023 IEEE.

关键词： Object detection

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An Incipient Multi-fault Diagnosis Method Based on Deep Learning for Large-Scale Lithium-ion Battery Packs 42

An Incipient Multi-fault Diagnosis Method Based on Deep Lear...

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42nd Chinese control Conference, CCC 2023

作者： Wang, Yue Gu, Xin Li, Jinglun Zhao, Wenyuan Shang, Yunlong School of Control Science and Engineering Shandong University Shandong Jinan250061 China

ISBN: (纸本)9789887581543

The application of effective fault diagnosis methods is a key measure to enhance the comprehensive performance of lithium-ion battery (LIB) systems. However, it is challenging for conventional threshold diagnosis methods to detect minor faults in the early stages. Therefore, an incipient multi-fault diagnosis method based on long short-term memory (LSTM) network is proposed. An interleaved current-voltage sequence is set as the input of the LSTM, while the differential voltage value is used as the output. The short-circuit and connection faults can be detected effectively by calculating a residual between the actual sample value and the predicted value generated from the standard reference model, which is trained by LSTM and capable of representing the volt-ampere relationship (VAR) of a healthy battery. The experiment results demonstrate that the proposed method can not only detect the type, location, occurrence moment, and duration of faults but also perform a superior accuracy across the whole state of charge (SOC) range. The lower limit of the detectable fault residual is as low as 0.01 V. In summary, the proposed incipient multi-fault diagnosis method has excellent generalizability and accuracy and is feasible and valuable in large-scale lithium-ion battery packs. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Lithium-ion batteries

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Adaptive Predefined-Time SMC for Uncertain Robotic Systems 13

Adaptive Predefined-Time SMC for Uncertain Robotic Systems

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Qiao, Chaoqian Zong, Guangdeng Chang, Zhenyu School of Electronics and Information Engineering Tiangong University Tianjin300387 China School of Control Science and Engineering Tiangong University Tianjin300387 China

ISBN: (纸本)9798350361674

This paper presents a novel adaptive predefined-time sliding-mode control (SMC) strategy for the tracking problem of uncertain robotic manipulators. Firstly, the unknown dynamic parameters and the bound vector of the disturbances are integrated into a compounded uncertainty. Considering that the boundary of the compounded uncertainty is not readily available in practical applications, the adaptive neural networks (NNs) are adopted to compensate for the compounded uncertainty of the robot. Moreover, to enhance the robustness and accelerate the system convergence, a novel nonsingular sliding surface approach is integrated into the controller design. Then, an NNs-based predefined-time controller is proposed to guarantee that the actual trajectory tracks the reference trajectory, allowing the maximum convergence time to be pre-adjusted using explicit parameters without losing robustness property. At last, simulation results conducted with a two-joint manipulator confirm both the exceptional performance and effectiveness of the developed method. © 2024 IEEE.

关键词： Neural networks

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Drone-captured vehicle re-identification via perspective mask segmentation and hard sample learning

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Multimedia Tools and Applications 2024年第37期83卷 84743-84763页

作者： Chunsheng, Liu Baoqi, Xue Shuang, Li Faliang, Chang School of Control Science and Engineering Shandong University Jingshi Road Shandong Province Ji’nan250061 China Daxue Road Shandong Province Ji’nan250353 China

Unlike fixed cameras based Re-Identification (Re-ID), drones have greater maneuverability, but they also bring more difficulties to Re-ID, such as more viewing angles and complex backgrounds. Aiming at the problem of intra-class difference and inter-class similarity caused by viewing angles, we propose the Multi View Mask Feature Based Hard Sample Learning (MVMF-HSL) method, which can combined weighted features from different perspectives. Considering complex perspectives with the prominent top-down features, the boundary mask information extracted from different perspectives may be error. First, a mask segmentation network is designed to segment the vehicle image into four different regions, front, back, side and roof, and the mask features of these four different viewing angle regions are extracted respectively. Then, a Common Visible Attention Module (CVA-Module) is proposed to assign weights to the four mask features, which assigns the feature weights of different perspectives. Finally, a metric learning method focusing on hard samples, called Hard Samples Learning (HSL), is proposed to train the vehicle Re-ID network. Because there is rare masked vehicle dataset from drone shooting, We label a new dataset with mask labels from the drone shooting view. Experimental results show that the utilization of features from different perspectives and the learning of difficult samples effectively improve the Re-ID performance. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Drones

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Synthesis of nanofluids composed of deep eutectic solvents and metal-modified MCM-41 particles as multifunctional promoters for fuel oil desulfurization

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Frontiers of Chemical science and engineering 2023年第11期17卷 1776-1787页

作者： Jing-Xuan Zhang Xuan Wang Yan-Ru Feng Jia-Yu An Yu-Xuan Chi Ya-Tai Liu Ling-Fei Zhang Yun-Bo Zhao Xiang-Feng Zeng Zi-Bo Wang Jia-Shuai Liu Yi-Fan Wang Shuai-Yong Dou Er-Hong Duan Tao Meng School of Environmental Science and Engineering Hebei University of Science and TechnologyShijiazhuang 050018China National Joint Local Engineering Research Center for Volatile Organic Compounds and Odorous Pollution Control Shijiazhuang 050018China College of Science Hebei Agricultural UniversityBaoding 071001China

Compared with traditional hydrodesulfurization,new nonhydrodesulfurization methods have the advantage of a high removal efficiency for thiophene compounds under mild ***,independent nonhydrodesulfurization technologies are faced with their own shortcomings,such as limitations of the desulfurization performance and regeneration of *** overcome these limitations,four nanofluids were prepared by dispersing different metal-modified MCM-41 particles in deep eutectic solvent as multifunctional promoters to develop a comprehensive desulfurization *** on the excellent adsorbability and high catalytic activity of the dispersed particles and the outstanding extractability of deep eutectic solvent in nanofluids,a high sulfur removal of 99.33%was achieved for model oil under mild conditions in 15 *** nanofluids also showed excellent reusability due to their high structural *** addition,NF@Cu/Al-MCM-41-2.5%exhibited the best desulfurization performance among the prepared *** result was obtained because the introduction of Al ions increased the number of acid sites and defect sites to improve the catalytic activity and adsorbability,and the best affinity of Cu/Al-MCM-41 for the deep eutectic solvent favored the reaction mass *** work opens the door to the development of a comprehensive nonhydrodesulfurization method based on the design of nanofluid materials.

关键词： fuel oil desulfurization nanofluids catalytic ozonation

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Imidazolium group prompted alkaline anion-exchange membrane with high performance for efficient electrochemical CO_(2) conversion

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Green Energy & Environment 2023年第3期8卷 893-903页

作者： Min Wang Qianqian Zou Xueqi Dong Nengneng Xu Rong Shao Jianfei Ding Yidong Zhang Jinli Qiao School of Chemistry and Chemical Engineering Yancheng Institute of TechnologyYancheng224051China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092College of Environmental Science and EngineeringDonghua University2999 Ren'min North RoadShanghai201620China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092China

Development of high-performance hydroxide-conductive membranes is a focus research subject owing to promising applications in electrochemical reduction of CO_(2)(eCO_(2)RR).However,few satisfactory membranes have been developed to maximize the performance of CO_(2) electrolyzers,despite its role as the core in regulating ion transport and preventing product crossover or fuel ***,we report the synthesis of alkaline anion-exchange membranes fabricated by poly(vinyl-alcohol)(PVA)and poly[(3-methyl-1-vinylimidazoliummethylsulfate)-co-(1-vinylpyrrolidone)](PQ44)for use in CO_(2) *** to the unique imidazolium ring structure coupled with a three-dimensional semiinterpenetrating porous internal architecture,the PVA/PQ44-OH-membranes provide a high hydroxide conductivity(21.47 mS cm^(-1)),preferable mechanical property and thermal *** particular,the eCO_(2)RR used PVA/PQ44-OH^(-) as electrolyte membrane realized a charming Faradaic efficiency(88%)and partial current density(29 mA cm^(-2))at0.96 VRHE and,delivered the excellent durability over 20 h electrolysis in 0.5 mol L^(-1) KHCO_(3) ***,it can even enable an ultrahigh current density beyond 100 mA cm^(-2) at^(-1).11 VRHE when the electrolyte was KOH instead,and produced the FEHCOOof 85%at a low potential of0.81 VRHE,superior to both commercial alkaline A201 and acidic Nafion117 membrane.

关键词： Alkaline anion-exchange membrane Imidazolium ring structure Semi-interpenetrating network CO_(2)electroreduction Formate production

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Cooperative Game-based Optimal Tracking control for Modular Reconfigurable Robots via Generalized Fuzzy Hyperbolic Models 41

Cooperative Game-based Optimal Tracking Control for Modular ...

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第41届中国控制会议

作者： Xinye Zhu Tianjiao An Gang Wang Bo Dong School of Mechanical and Control Engineering Baicheng Normal University Department of Control Science and Engineering Changchun University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A cooperative game optimal tracking control via generalized fuzzy hyperbolic models for modular reconfigurable robots(MRR) system is *** to the NewtonEuler iteration method,dynamics model of robotic subsystem is established and the global state space equation is *** control inputs of n joints in the MRR system are taken as n participants of cooperative ***,the fusion error function containing position and velocity errors is defined to establish the cost *** improving robustness of the MRR,the generalized fuzzy hyperbolic is used to identify the unknown model *** coupled HJB equation is solved by critic neural network(NN) in the adaptive dynamic *** theory proves the trajectory tracking error of MRR system is uniformly ultimately bounded(UUB).Experimental results show the validity of the control method.

关键词： Index Terms—modular reconfigurable robots cooperative game adaptive dynamic programming generalized fuzzy hyperbolic models

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Multi-Working Conditions Converter Gas Holders Capacities Prediction Based on Improved Multi-LSTM Transfer Ensemble 42

Multi-Working Conditions Converter Gas Holders Capacities Pr...

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42nd Chinese control Conference, CCC 2023

作者： Zhao, Jianqing Wang, Tianyu Sun, Kaibiao Zhao, Jun School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789887581543

The Linz-Donawitz converter Gas (LDG) produced in the production process of steel enterprises will be stored in the gas holder for supply to other production units in the plant. The prediction of the change trend of the capacity or level of the gas holder can provide a reference for the control and scheduling of the LDG system. Considering that in the actual production process, multiple gas holders' working conditions are constantly switched through pressure valves, resulting in a single data prediction model difficult to obtain relatively stable prediction accuracy under various working conditions. Therefore, this paper proposes a prediction method of converter gas holder capacity for multi-operating conditions. First of all, the sample data is divided into several working condition subsets according to the opening and closing status of the gas holder valve. The LSTM network unit with multi-input-output structure is designed for the multi-working condition modeling problem, and the information of multi-condition data is fused to train the data of multi-condition simultaneously. Among them, a transfer learning method with regularization constraints is proposed for the small sample working condition model. The model trained from the large sample working condition is used as the pre-trained model, and the small sample working condition data is used to fine-tune the pre-trained model. Finally, ensemble learning is used to fuse each working condition model and the global model trained by all data. In order to verify the effectiveness of the proposed method, a real data set from the by-product gas system of a domestic steel plant was selected for the experiment and compared with the state-of-the-art method. The experiment shows that the method proposed in this paper can make stable and accurate predictions under the switching of working conditions, and can provide support for the optimal scheduling of the gas system. © 2023 Technical Committee on control Theory, Chinese

关键词： Forecasting

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