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Chinese Automation Congress (CAC)

作者： Hongrui Wang Tao Zou Zhijia Yang Hongyu Zheng State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Institute of Intelligent Manufacturing Huanghuai University Zhumadian China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In the dual time-scale system, the time for the fast and slow model to reach steady-state values is inconsistent. Based on the "point" model strategy of integral variables, this paper compares and analyzes the slow model variables with the integral variables and designs a two-layer structure predictive controller for the dual time-scale system under the model truncation. The steady-state optimization layer uses the step response characteristics of slow model variables to derive the multi-step controlled variable prediction values after the truncation point. Based on the improved displacement matrix, the error correction coefficient is modified by introducing an error compensation factor in the dynamic control layer to reduce the accumulated error of model truncation. Under the truncated dual time-scale system model, the improved strategy proposed in the paper can not only maintain the amount of calculation of the predictive control but also solve the problem that the steady-state target calculation is not accurate enough due to model mismatch. Finally, the elfectiveness of the improvement strategy is verified by simulation comparison.

关键词： Robots Optimized production technology Manufacturing control systems Automation Target tracking Steady-state

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A Novel Hybrid Method for Fault Diagnosis of Industrial Equipment Based on Vibration Signals

A Novel Hybrid Method for Fault Diagnosis of Industrial Equi...

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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Sen Tao Kai Wang Peng Zeng Tianda Yu Hao Wu Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang China Nuclear Power Institute of China Chengdu China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China

Industrial equipment reliability is a critical issue that smart manufacturing systems must address. Implementation of online fault diagnosis for industrial equipment is a promising technology that can improve equipment reliability. Vibration analysis is a popular technique for equipment condition monitoring. For the non-linear and non-stationary features of industrial vibration signals, a hybrid model based on wavelet transform (WT), support vector machine (SVM), and grey wolf optimization algorithm (GWO) is proposed. The time-frequency domain features of fault signals are extracted by wavelet transform to solve the non-linearity of signals, and the obtained feature vectors are input into SVM for classification. Aiming at the problem of setting penalty coefficient and kernel function parameters, GWO is introduced to seek hyperparameters by using the hunting principle of wolves. In the experimental part, firstly, the comparison of the GWO-WT-SVM, GWO-SVM and SVM models was carried out. Secondly, Comparison with classical classification algorithms is made. Apparently, the GWO-WT-SVM model achieves higher accuracy than other models in bearing fault diagnosis.

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Optimizing Photocatalytic Performance in an Electrostatic-Photocatalytic Air Purification system Through Integration of Triboelectric Nanogenerator and Tesla Valve

SSRN

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SSRN 2024年

作者： Li, Xiaoliang Cao, Leo N.Y. Zhang, Ting Fang, Rongkun Ren, Yuqing Chen, Xiangyu Bian, Zhenfeng Li, Hexing MOE Key Laboratory of Resource Chemistry Shanghai Key Laboratory of Rare Earth Functional Materials Shanghai Normal University Shanghai China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing100083 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies Key Laboratory of Urban Stormwater System and Water Environment Beijing University of Civil Engineering and Architecture Beijing100044 China State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai200092 China Shanghai University of Electric Power Shanghai China

Increasing the collision frequency between gas molecules and photocatalysts can enhance the removal efficiency of volatile organic compounds (VOCs) and particulate matter (PM) in air. In this study, we propose an Electrostatic-Photocatalytic air purification system, containing Tesla valve, triboelectric nanogenerator (TENG), and photocatalysis parts. The incorporation of Ag@ZnO nanorod array (Ag@ZnO-NR) photocatalysts into the internal baffles of the Tesla valve pipeline effectively enhances the collision probability between air pollutant molecules and photocatalysts, and thus facilitating the removal efficiency of pollutants. Additionally, the high-voltage electricity (~9.0 kV) generated by the TENG facilitates the separation of electron-hole pairs in the photocatalyst, leading to increased production of superoxide radicals (O·-2), hydroxyl radicals (·OH), and holes (h+), thereby enhancing the photocatalytic efficiency. In a 1.8 L space system, we achieved an approximately 97% removal efficiency for toluene within 130 minutes and a similar efficiency for formaldehyde (~200 ppm) within 175 minutes. Additionally, the PM2.5 concentration rapidly decreased from 999 μg·m-3 to 42 μg·m-3 within 6 minutes, alongside with a significantly faster pollutant removal rate compared to conventional methods. By integrating Tesla valves, TENG, and photocatalysis, this combined system presents an efficient and promising approach for addressing indoor air pollution, with potential applications across various settings. © 2024, The Authors. All rights reserved.

关键词： Photocatalysis

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The mutation network for the hemagglutinin gene from the novel influenza A (H1N1) virus

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Chinese Science Bulletin 2009年第13期54卷 2168-2170页

作者： HE YunGang DING GuoHui BIAN Chao HUANG Zhong LAN Ke SUN Bing WANG XueCai LI YiXue WANG HongYan WANG XiaoNing YANG Zhong ZHONG Yang JIN WeiRong XIONG Hui DAI JianXin GUO YaJun WANG Hao CHE XiaoYan WU Fan YUAN ZhenAn ZHANG Xi CAO ZhiWei ZHOU XiaoNong ZHOU JiaHai MA ZhiYong TONG GuangZhi ZHAO GuoPing JIN Li Shanghai Institutes of Biological Sciences Chinese Academy of Sciences (Key Laboratory of Computational Biology CAS-MPG Partner Institute of Computational Biology Center of Bioinformatics Key Lab of System Biology Lab of Synthetic Biology Institute of Plant Physiology & Ecology Institute Pasteur) Shanghai 200031 China School of Life Sciences Fudan University Shanghai 200433 China Shanghai-MOST Key Laboratory for Disease and Health Genomics Chinese National Human Genome Center at Shanghai Shanghai 201203 China Cancer Institute Second Military Medical University Shanghai 200433 China School of Life Sciences and Technology South China University of Technology Guangzhou 510641 China National Engineering Research Center for Antibody Drugs Shanghai 201203 China Zhujiang Hospital Southern Medical University G uangzhou 510282 China Shanghai Municipal Center for Disease Control & Prevention Shanghai 200336 China Shanghai Center for Bioinformation Technology Shanghai 200235 China School of Life Sciences and Technology Tongji University Shanghai 200092 China National Institute for Parasitic Diseases Chinese Center for Disease Control and Prevention Shanghai 200025 China Shanghai Institute of Organic Chemistry Chinese Academy of Sciences Shanghai 200032 China Shanghai Veterinary Research Institute Chinese Academy of Agricultural Sciences Shanghai 200241 China National Engineering Research Center for Biochip Technology Shanghai Biochip Co. Ltd Shanghai 201203 China

A mutation network for the hemagglutinin gene(HA) of the novel type A(H1N1) influenza virus was *** homology analysis indicated that one HA sequence type from the viruses mainly isolated from Mexico was likely the original type in this *** on the 658A and 1408T mutations in HA,the viruses evolving into this epidemic were divided into three categories,the Mexico,the transitional and the New York *** three groups of viruses presented distinctive clustering features in their geographic distributions.

关键词：流感病毒血凝素基因流行性感冒突变网络序列类型同源性分析地理分布

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Liquid Metal Manifold Microchannel Heat Sink for Ultra-High Heat Flux Cooling

SSRN

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SSRN 2024年

作者： Zhang, Mingkuan Gao, Qi Zhao, Zhiyuan Guo, Luna Li, Xuan Zhang, Chao Zhang, Xudong Rao, Wei Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China School of mechanical engineering Tianjin University of Commerce Tianjin300134 China Institute of Refrigeration and Cryogenics Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Engineering Mechanics Tsinghua University Beijing Beijing100084 China CAS Key Laboratory of Cryogenics Technical Institute of Physics and Chemistry Chinese Academy of Sciences China Beijing Key Lab of CryoBiomedical Engineering and Key Lab of Cryogenics Beijing100190 China

The reduction in transistor dimensions and advancements in chip integration have led to a dramatic increase in the heat flux of chip. Advanced heat dissipation technology has become the pivotal in ensuring the normal operation of chips and fully utilizing chip performance. Room temperature liquid metal convection cooling technology has demonstrated its efficacy as a viable approach for addressing high heat flux heat dissipation. However, the smaller specific heat capacity of liquid metal leads to a large temperature rise, imposing a constraint on the progression of liquid metal cooling technology. To overcome this drawback, this paper proposed a liquid metal manifold channel structure designed to convert the continuous long-range flow into a segmented short-range flow. The good matching between liquid metal and manifold structures is adequately demonstrated through a comparison with alternative coolant and channel structure. The simulation results demonstrate the effectiveness of liquid metal manifold channel cooling in dealing with a heat flux of 1000 W/cm², ensuring that the maximum temperature of the chip remains below 351.7 K. Moreover, the convective heat transfer coefficient even reaches 106 W/(m2·K), which is ten times larger than that of water conventional microchannel heat sink. The orthogonal experiments were conducted to analyze how the structural parameters affect the dissipation performance, including the height of the microchannel, ratio of manifold length to fin length, length of fin in manifold, width of channel, and ratio of fin with to channel width. It concluded that the height of the microchannel has been identified as the most critical factor. This manifold structure mitigates the inherent limitation of the lower specific heat capacity of liquid metal, paving the way for effective thermal management of electronic devices subjected to ultra-high heat flux. © 2024, The Authors. All rights reserved.

关键词： Heat flux

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Subtyping of type A influenza by sequencing the variable regions of HA gene specifically amplified with RT-PCR

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Chinese Science Bulletin 2009年第13期54卷 2164-2167页

作者： YAN An DING GuoHui ZHOU ZhenFeng DONG Hui ZHANG YaKun ZHU Lei HE YunGang ZHANG GuoQing LI YiXue SUN Bing HUANG Zhong LAN Ke JIN Li WANG HongYan WANG XiaoNing YANG Zhong ZHONG Yang DAI JianXin GUO YaJun WANG Hao CHE XiaoYan WU Fan YUAN ZhenGan ZHANG Xi CAO ZhiWei ZHOU XiaoNong ZHOU JiaHai MA ZhiYong TONG GuangZhi ZHAO GuoPing JIN WeiRong XIONG Hui Shanghai-MOST Key Laboratory for Disease and Health Genomics Chinese National Human Genome Center at Shanghai Shanghai 201203 China Shanghai Institutes of Biological Sciences Chinese Academy of Sciences (Lab of Computational Genomics CAS-MPG Partner Institute of Computational Biology Center of Bjoinformatics Key Lab of System Biology Lab of Synthetic Biology Institute of Plant Physiology & Ecology Institute Pasteur) Shanghai 200031 China National Engineering Research Center for Biochip Technology Shanghai Biochip Co. Ltd Shanghai 201203 China Shanghai Center for Bioinformation Technology Shanghai 200235 China School of Life Sciences Fudan University Shanghai 200433 China School of Life Sciences and Technology South China University of Technology Guangzhou 510641 China Cancer Institute Second Military Medical University Shanghai 200433 China National Engineering Research Center for Antibody Drugs Shanghai 201203 China Zhujiang Hospical Southern Medical University Guangzhou 510282 China Shanghai Municipal Center for Disease Control & Prevention Shanghai 200336 China School of Life Sciences and Technology Tongji University Shanghai 200092 China National Institute for Parasitic Diseases Chinese Center for Disease Control and Prevention Shanghai 200025 China Shanghai Institute of Organic Chemistry Chinese Academy of Sciences Shanghai 200032 China Shanghai Veterinary Research Institute Chinese Academy of Agricultural Sciences Shanghai 200241 China

The outbreak of a novel influenza A(H1N1) virus across the globe poses a threat to human *** is of paramount importance to develop a rapid,reliable and inexpensive diagnostic *** on the bioinformatic information from public database,primers specific for influenza A virus surface protein haemagglutinin(HA) of several subtypes(including H1,H2,H3,H5,H7 and H9) were ***-specific PCR products were subjected to sequencing for accurately distinguishing H1 and H3 subtypes from *** sequencing-based detection method will not only be applied to rapid detection and simultaneous subtype identification of new influenza A virus H1N1,but also provide the strategies to monitor other new types ofinfluenza virus with explosive potential.

关键词：流感病毒 H9亚型 PCR产物 HA基因测序可变区生物信息学 RT

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Localization and Surface Characterization by Zhurong Mars Rover at Utopia Planitia

Research Square

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Research Square 2021年

作者： Ding, Liang Zhou, Ruyi Yu, Tianyi Gao, Haibo Yang, Huaiguang Li, Jian Yuan, Ye Liu, Chuankai Wang, Jia Zhao, Yuyan Wang, Zhengyin Wang, Xiyu Bao, Gang Deng, Zongquan Huang, Lan Li, Nan Cui, Xiaofeng He, Ximing Jia, Yang Yuan, Baofeng Liu, Guangjun Zhang, Hui Zhao, Rui Zhang, Zuoyu Cheng, Ziqing Wu, Fan Xu, Qian Lu, Hao Richter, Lutz Liu, Zhen Niu, Fuliang Qi, Huanan Li, Shu Feng, Wenhao Yang, Chaojie Chen, Baichao Dang, Zhaolong Zhang, Mingming Li, Lichun Wang, Xiaoxue Huang, Zhao Zhang, Jitao Xing, Hongjun Wang, Guanyu Niu, Lizhou Xu, Peng Wan, Wenhui Di, Kaichang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China Beijing Aerospace Control Center Beijing100094 China Center for Lunar and Planetary Sciences Institute of Geochemistry Chinese Academy of Science Guiyang550081 China CAS Center for Excellence in Comparative Planetology Hefei230026 China University of Chinese Academy of Sciences Beijing100049 China Beijing Institute of Spacecraft System Engineering Beijing100094 China Department of Aerospace Engineering Ryerson University TorontoONM5B 2K3 Canada Hauptstrasse 1e Eching Germany State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China

China’s first Mars rover, Zhurong, has successfully touched down on the southern Utopia Planitia of Mars at 109.925° E, 25.066° N, and since performed cooperative multiscale investigations with the Tianwen-1 orbiter. Here we present primary localization and surface characterization results based on complementary data of the first 60 sols. The Zhurong rover has traversed 450.9 m southwards over a flat surface with mild wheel slippage (less than 0.2 in slip ratio). The encountered crescent-shaped sand dune indicates a NE-SW local wind direction, consistent with larger-range remote-sensing observations. Soil parameter analysis based on terramechanics indicates that the topsoil has high bearing strength and cohesion, and its equivalent stiffness and internal friction angle are ~1390-5872 kPa∙m-n and ~21°-34° respectively. Rocks observed strewn with dense pits, or showing layered and flaky structures, are presumed to be involved in physical weathering like severe wind erosion and potential chemical weathering processes. These preliminary observations suggest great potential of in-situ investigations by the scientific payload suite of the Zhurong rover in obtaining new clues of the region’s aeolian and aqueous history. Cooperative investigations using the related payloads on both the rover and the obiter could peek into the habitability evolution of the northern lowlands on Mars. © 2021, CC BY.

关键词： Sols

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Contaction of Atoms for Outstanding Dielectric Characteristics in Kx-Passivated Polymer Dielectrics

SSRN

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SSRN 2022年

作者： Li, Xiao-Fen Wang, Tian-Yu Liu, Bai-Xin Liu, Jian-Bo Zhang, Gui-Xin Wang, Zhong Lin School of Materials Science and Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China CAS Center for Excellence in Nanoscience Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing100083 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China School of Material Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States

High dielectric characteristics polymer dielectrics are crucial for high-power, high-integration, and high-energy storage density electrical devices and film capacitors. However, polymer dielectrics accumulate much charge during operation, causing local electric field distortion and flashover or breakdown. The deep-level defect state (electron/hole accumulation center) is a fundamental factor affecting dielectric strength. Unfortunately, related research, especially on passivating deep-level defects in polymer dielectrics, is minimal. In this paper, based on experiments and first-principles calculations, it is found that KX (X=F, Cl, Br, I) effectively passivates deep-level defect states in polymer dielectrics. Further analysis of the physical passivation mechanism reveals that the deep-level defect cation passivation principle is the cation dipole effect on polymers. The principle of anion passivation of deep-level defects by suspending anions and cations is the key to producing more stable C covalent bonds. This stable covalent bond transfers the local charge from the C with the lone electron pair that originally contains the hanging bond. Therefore, some transfer occurs and the anion implements effective passivation. This paper addresses the design of high-performance polymer dielectrics, providing a reference for experimental and theoretical analyses. © 2022, The Authors. All rights reserved.

关键词： Passivation

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MSight: An Edge-Cloud Infrastructure-based Perception system for Connected Automated Vehicles

arXiv

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arXiv 2023年

作者： Zhang, Rusheng Meng, Depu Shen, Shengyin Zou, Zhengxia Li, Houqiang Liu, Henry X. The Department of Civil and Environmental Engineering University of Michigan Ann ArborMI48109 United States The University of Michigan Transportation Research Institude 2901 Baxer Rd Ann ArborMI48109 United States The Department of Guidance Navigation and Control School of Astronautics Beihang University Beijing100191 China The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei China Mcity University of Michigan Ann ArborMI48109 United States

As vehicular communication and networking technologies continue to advance, infrastructure-based roadside perception emerges as a pivotal tool for connected automated vehicle (CAV) applications. Due to their elevated positioning, roadside sensors, including cameras and lidars, often enjoy unobstructed views with diminished object occlusion. This provides them a distinct advantage over onboard perception, enabling more robust and accurate detection of road objects. This paper presents MSight, a cutting-edge roadside perception system specifically designed for CAVs. MSight offers real-time vehicle detection, localization, tracking, and short-term trajectory prediction. Evaluations underscore the system’s capability to uphold lane-level accuracy with minimal latency, revealing a range of potential applications to enhance CAV safety and efficiency. Presently, MSight operates 24/7 at a two-lane roundabout in the City of Ann Arbor, Michigan. Copyright © 2023, The Authors. All rights reserved.

关键词： Roadsides

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Detection of maize kernels breakage rate based on K-means clustering

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AIP Conference Proceedings 2017年第1期1834卷

作者： Liang Yang Zhuo Wang Lei Gao Xiaoping Bai 1Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang 110016 China 2Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China 3University of Chinese Academy of Sciences Beijing 100049 China

In order to optimize the recognition accuracy of maize kernels breakage detection and improve the detection efficiency of maize kernels breakage, this paper using computer vision technology and detecting of the maize kernels breakage based on K-means clustering algorithm. First, the collected RGB images are converted into Lab images, then the original images clarity evaluation are evaluated by the energy function of Sobel 8 gradient. Finally, the detection of maize kernels breakage using different pixel acquisition equipments and different shooting angles. In this paper, the broken maize kernels are identified by the color difference between integrity kernels and broken kernels. The original images clarity evaluation and different shooting angles are taken to verify that the clarity and shooting angles of the images have a direct influence on the feature extraction. The results show that K-means clustering algorithm can distinguish the broken maize kernels effectively.

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