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2023 China Automation Congress, CAC 2023

作者： Qiu, Cheng Zhang, Xinmin Qian, Jinchuan Zhu, Zheren Song, Zhihuan Chen, Zhichao College of Control Science and Engineering Zhejiang University The State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (纸本)9798350303759

In real-world industrial processes, the realtime measurement of key variables is vital to the control of industrial systems. Soft sensing, as a method of predicting key variables using auxiliary variables, has been widely used in industrial environments. To construct an accurate soft-sensing model, the effective extraction of data features is crucial, especially for industrial processes with complex nonlinearity and dynamism. However, traditional dynamic feature extractors often lose information over extended time durations, disappearing with the increase in time-step length through iterations. To address this issue, this study proposes an advanced dynamic feature extractor called ATTENREG-DFE, which has a novel gated mechanism. In addition, in ATTENREG-DFE, the attention mechanism is employed for feature extraction from the input data, and it ensures the inclusion of long-duration information within the output features. To verify the effectiveness of the proposed method, it was applied to actual synthetic ammonia industrial processes, and the experimental results show that the proposed method is superior to other state-of-the-art methods. © 2023 IEEE.

关键词： Ammonia

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Time of Flight Measurement Method Combining Threshold Method and Cross-Correlation Method 2

Time of Flight Measurement Method Combining Threshold Method...

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2023 2nd International Conference on Power Electronics and Electrical technology, ICPEET 2023

作者： Zhu, Mingrui Zhou, Hongliang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

With various benefits such as a large range ratio, suitability for large-diameter measurement, and lack of excess pressure drop, ultrasonic flowmeters (UFMs) have been widely adopted in natural gas measurement. The accuracy of flow measurement in transit-time UFMs is mostly dependent on the accurate measurement of time of flight (TOF). The threshold method, the cross-correlation (CC) method, and the model-based method are examples of traditional TOF calculation techniques. However, the threshold method is susceptible to such factors as waveform distortion, amplitude attenuation, and noise, the CC method is constrained by the sampling frequency, and the model-based method necessitates a significant investment in calculation time and resources. Based on the analysis of the shortcomings of traditional TOF measurement methods, a TOF measurement method that combines the threshold method and CC method is presented. This method integrates the advantages of the high measurement resolution of the threshold method and the strong robustness of the CC algorithm. The results demonstrate that the flow rate accuracy and the repeatability of the TOF are greatly improved by this method. © Published under licence by IOP Publishing Ltd.

关键词： Flow measurement

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On the optimality of uniform velocity-deceleration separation scheme for tethered satellite systems

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control Theory and technology 2024年第4期22卷 503-516页

作者： Peng Yu Ji-Feng Zhang Shuping Tan Jin Guo Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Beijing Institute of Control Engineering Beijing100094China

For mitigating the libration angle fluctuation of the tethered satellite system,this paper discusses how to make the uniform velocity-deceleration separation scheme achieve the best ***,a judgment condition is established to determine the tether state by comparing the tether length and the relative distance of the sub-satellite and the parent *** on the tethered satellite system dynamics equation and Clohessy-Wiltshire equation,dynamic models are given for four cases of tether ***,the influence of the uniform velocity-deceleration separation scheme on the libration angle is analyzed by taking the libration angle at the separation ending time and the mean absolute value of the libration angle as index ***,the optimality problem of the uniform velocity-deceleration separation scheme is formulated as an optimization problem with constraints,and an approximate solution algorithm is given by combining the back propagation neural network and Newton-Raphson method of multiple initial ***,the effectiveness of the proposed method is verified by a numerical simulation.

关键词： Tethered satellite systems Libration angle Uniform velocity-deceleration separation Neural network

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Dust pollution during shotcrete process in high-altitude tunnel based on numerical simulation

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Particuology 2023年第4期75卷 82-95页

作者： Cong Li Zhongan Jiang Guoliang Zhang Xue Feng Fabin Zeng College of Civil and Resource Engineering University of Science and Technology BeijingBeijing100083China NHC Key Laboratory for Engineering Control of Dust Hazard University of Science and Technology BeijingBeijing100083China

The surrounding rock needs shotcrete support after drilling and blasting excavation in the tunnel;the high concentration of dust generated in the process will endanger workers'occupational ***,to ensure the cleanness and safety of the tunnel construction process,a full-scale model of the tunnel was established based on field data of a high-altitude tunnel of the Sichuan-Tibet *** dust production mechanism is summarized by combing the whole process of *** Computa-tional Fluid Dynamics(CFD)method was used to study the diffusion and transport of dust under different *** grey relational analysis was applied to investigate the correlation values of the influ-encing factors on dust diffusion in the shotcrete operation *** results show that the dust gener-ation mechanism of shotcrete includes the sudden change of particle velocity in the jet area leading to escape and particle impact dust generation,where fine dust is easily dispersed in the *** continuous dust production,the dust concentration is higher near the wet spraying machine and on the backflow side of the working *** the air supply volume and shortening the distance between the air duct and the working face is conducive to diluting the dust concentration in the *** the high-altitude environment,the dust concentration in the tunnel decreases,the diffusion distance be-comes smaller,the settlement proportion of dust particles increases,and the risk of secondary pollution *** simulation results and the field measurement data are consistent,which can provide theoretical support for the construction site dust control.

关键词： High-altitude tunnel Shotcrete Dust diffusion Numerical simulation Ventilation system

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Double Acceleration of Distributed Nesterov Gradient Descent Algorithms by Exploiting Momentum 22

Double Acceleration of Distributed Nesterov Gradient Descent...

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22nd IEEE International Conference on industrial Informatics, INDIN 2024

作者： Yi, Xin Yi, Jing-Wen Chai, Li School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9798331527471

It is well known that adding the momentum term can accelerate the convergence rate of optimization algorithms. In this paper, the momentum term is exploited to double accelerate the distributed Nesterov gradient descent algorithm without increasing the communication burden, and a novel momentum-based distributed Nesterov gradient descent (DNGD-M) algorithm is proposed. Using the method of inequality transformation, the convergence problem of the DNGD-M algorithm is converted into the stability problem of the extended system. Then, by analyzing the state transition matrix of the extended system, the convergence conditions of the proposed algorithm and the corresponding ranges of parameter values are obtained. Finally, numerical experiments are provided to verify the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Optimization algorithms

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FedAWS: A Federated Tuning Approach with Adaptive Weight Shrinking for Pre-trained Foundation Models 13

FedAWS: A Federated Tuning Approach with Adaptive Weight Shr...

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

作者： Cheng, Yubin Song, Zhihuan Jiang, Xiaoyu Yao, Le Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Control Science and Engineering Hangzhou310027 China School of Mathematics Hangzhou Normal University Hangzhou China

ISBN: (纸本)9798350361674

In recent years, pre-trained foundation models have developed rapidly and have been applied to various downstream tasks through fine-tuning methods. However, due to the existence of data silos, the lack of data for fine-tuning has become a vital issue preventing the application of the foundation model to industry. In addition, the high complexity of the network makes the foundation model prone to overfitting when used for data-constrained industrial tasks. Therefore, a federated tuning approach with adaptive weight shrinking, named FedAWS, is proposed for collaborative fine-tuning between factories. FedAWS adaptively selects the weight-shrinking factor to reduce overfitting and improve the generalization of the global model without relying on additional data sets or human experience. The case study on an industrial dataset demonstrates the effectiveness of FedAWS. This successful validation provides a new way for inter-factory collaboration to apply the foundation model to industry, thus facilitating the efficient utilization of industrial data. © 2024 IEEE.

关键词： Federated Learning Fine-tuning Foundation Model Weight Shrinking

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Modulating the Coordination Environment of Cu Sites for Highly Selective CO2 Electroreduction to Ethylene

Chem and Bio Engineering

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Chem and Bio engineering 2024年第10期1卷 836-845页

作者： Luo, Wenfu Li, Shijie Shen, Yao Zhang, Shihan Li, Wei Li, Sujing Key Laboratory of Biomass Chemical Engineering of the Ministry of Education Institute of Industrial Ecology and Environment College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Zhejiang University of Technology Hangzhou310014 China

Carbon dioxide (CO2) can be reduced to a variety of value-added products by the electrochemical reduction of CO2 (ERC). Modulating the coordination environment of the Cu sites can effectively optimize the selectivity and activity of the reduction process. In this work, we report a facile strategy to regulate the coordination environment of Cu sites for improving the Faradaic efficiency (FE) of ethylene. Room-temperature Ar plasma with different powers and treating times was employed to partially remove the 2,5-dihydroxyterephthalic moieties from the structure of Cu-MOF-74, thus resulting in more unsaturated coordinated Cu sites and lower oxidation state. The structure distortion and electron configuration change of Cu-MOF-74-P was observed from electron paramagnetic resonance (EPR). Meanwhile, the proportion of Cu+ in Cu-MOF-74-P has increased significantly. By combination of XAFS and in situ DRIFTS, it was shown that the coordination number of Cu-MOF-74-P has decreased from 2.7 to 1.6, thus facilitating the formation of more *CO intermediates on the surface during the reduction process. This modification strategy successfully increased the Faradaic efficiency of C2H4 in the product up to 48%, which was 3.2 times of its original performance. This work provides some guidance for the design of catalysts with tailored selectivity during CO2 electroreduction. © 2024 The Authors. Co-published by Zhejiang University and American Chemical Society.

关键词： Electron spin resonance spectroscopy

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Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2022年第3期3卷 470-484页

作者： Jiang, Xiaoyu Ge, Zhiqiang Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Control Science and Engineering Hangzhou310027 China Peng Cheng Laboratory Shenzhen518000 China

With the rapid development of information technology, intelligent upgrading of the manufacturing industry has broken the closed environment of traditional industrial control systems (ICS);thus, the information security of ICS has been seriously threatened. As part of ICS, the process monitoring system (PMS) is heavily subject to external risks. Data-driven PMSs have been widely used as initial lines of defense to ensure ICS safety. Once the PMS is under attack, the consequences on the whole ICS will be unimaginable. Unfortunately, the safety issues of the PMS have received inadequate attention. This article reveals PMS's vulnerabilities through effective attacks. A novel method called subspace transfer network (STN) is proposed to conduct adversarial and poisoning attacks on the PMS simultaneously. Then the attack task flow is defined and explained to make online adversarial attacks and data poisoning on PMS. Meanwhile, aiming at two poisoning goals, targeted and untargeted attacks of STN are designed, respectively. Finally, the PMS's fragility is verified in two industrial benchmarks. © 2020 IEEE.

关键词： Security of data

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CDQKL: Consensus-Based Distributed Quantum Kernel Learning 1

CDQKL: Consensus-Based Distributed Quantum Kernel Learning

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1st International Conference on Quantum Communications, Networking, and Computing, QCNC 2024

作者： Ma, Wenxuan Liu, Mengxiang Deng, Ruilong State Key Laboratory of Industrial Control Technology The College of Control Science and Engineering Zhejiang University Hangzhou310027 China University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350366778

The field of quantum computing has developed rapidly in recent years due to its promising trend of surpassing traditional machine learning in terms of speed and effectiveness. Quantum kernel learning is one of the paradigms of quantum machine learning, but the training of quantum kernel is time consuming. Therefore, this work makes the first attempt to introduce a consensus-based distributed approach to quantum kernel learning - named CDQKL - that only requires to exchange model parameter information between adjacent nodes while avoiding the need of sharing local training data. Through comparative experimental studies, the advantages of CDQKL in classification accuracy and convergence speed are verified. Considering the popularization of quantum computing cloud service and miniaturization of quantum terminals, the CDQKL adapting to this trend is able to play a vital role in data security, which implies the far-reaching significance of this work. Our code is available at https://***/Leisurivan/CDOKL. © 2024 IEEE.

关键词： Quantum computers

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Drift-free localisation using prior cross-source map for indoor low-light environments

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IET Cyber-Systems and Robotics 2023年第1期5卷 122-131页

作者： Junyi Tao Weichen Dai Da Kong Jiayan Wan Bin He Yu Zhang State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina School of Computer Science Hangzhou Dianzi UniversityHangzhouChina Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province HangzhouChina

In this study,a localisation system without cumulative errors is ***,depth odometry is achieved only by using the depth information from the depth *** the point cloud cross-source map registration is realised by 3D particle filtering to obtain the pose of the point cloud relative to the ***,we fuse the odometry results with the point cloud to map registration results,so the system can operate effectively even if the map is *** effectiveness of the system for long-term localisation,localisation in the incomplete map,and localisation in low light through multiple experiments on the self-recorded dataset is *** with other methods,the results are better than theirs and achieve high indoor localisation accuracy.

关键词： indoor positioning robots

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