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30th CIRP Life Cycle Engineering Conference, LCE 2023

作者： Gao, Lu Wang, Zhihui Wang, Yanan Peng, Tao Liu, Weipeng Tang, Renzhong State Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310058 China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province Zhejiang University Hangzhou310058 China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310058 China School of Engineering Zhejiang University City College Hangzhou310015 China

Lightweighting is one of the enabling techniques for energy saving and carbon reduction in the automotive industry. However, the life cycle performance of lightweight components remains unclear. Wheel hub is an important component, and its trend of replacing steel with aluminum is happening. Based on life cycle assessment and using ReCiPe model, this paper reports a cradle-to-grave study on the environmental impact of steel and aluminum wheel hub in passenger vehicles. Considering multi-scenario in the Chinese market, it is found that when the service life of passenger vehicle is less than 5.6 years, steel wheel hub is more environmental-friendly, and when the service life is less than 8.6 years, steel wheel hub also has more economic advantages. Combining different lightweight methods and different types of vehicles, it is found that structural optimization reduces the environmental impact of per unit weight mostly, process optimization reduces the life cycle environmental impact of wheel hub, and using lightweight steel wheel hub in electric vehicles has more potential in environmental benefits. some suggestions are, 1) to choose wheel hub that matches your actual usage to enjoy more environmental-economic advantages;2) to prioritize structural-process integrated optimization for lightweight wheel hub;and 3) to use more lightweight components in electric vehicles. © 2023 The Authors. Published by Elsevier B.V.

关键词： Environmental impact

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A General Petri-Net controller for Avoiding Collisions and Deadlocks in a Partially-controllable Mixed Traffic System

SSRN

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SSRN 2022年

作者： Chen, Xinyu Wu, Weimin Hu, Ruifen State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310058 China Institute of Cyber-Systems and Control Zhejiang University Hangzhou310058 China

Mixed traffic systems are extensively employed to carry out transportation tasks in a flexible manufacturing system (FMS), especially since automated guided vehicles (AGVs) have become more and more popularized in recent years. However, current researches mainly focus on the coordination of a fully autonomous multi-AGV system, while neglecting the influence of human-driven vehicles in a mixed traffic environment. This paper proposes a Petri-net controller to avoid collisions and deadlocks in a partially-controllable mixed traffic system. As for the theoretical framework of this paper, the mixed traffic system is first modeled by a colored labeled Petri net, where different vehicles are represented by different colors and transitions labeled by an uncontrollable vehicle will be fired randomly. Based on the Petri net structure, the collision-free and deadlock-free conditions are formalized, from which a general controller that avoids collisions and deadlocks in a partially-controllable mixed traffic system is designed. Experiments are carried out to verify the effectiveness of the proposed controller and the results are highly promising in terms of coordinating a mixed traffic system. © 2022, The Authors. All rights reserved.

关键词： Petri nets

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A Deep Learning Based Personal Authentication Method Using sEMG Signal 41

A Deep Learning Based Personal Authentication Method Using s...

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第41届中国控制会议

作者： Lina Tong Mingjia Zhang Daisong Liu Hanghang Ma Yuxiang Zhang Liang Peng School of Mechanical Electronic & Information Engineering Chinese University of Mining and Technology-Beijing State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChina Academy of Science

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Personal authentication means that the relevant system confirms whether the identity of the user is real,legal and unique.A safe and convenient personal authentication method is a core for guarantee the security of our information and *** Electromyography(sEMG),which exists on the surface of the skin,is a good signal to achieve personal authentication,for it is difficult to be extracted and *** this paper,a new personal authentication method using forearm sEMG is ***,8-channel sEMG signals are recorded by Myo armband that is placed on right forearm of 14 subjects who perform the same hand open ***,two different deep learning models are presented to classify the *** multi-layers Convolution Neural Network(ML-CNN) and two stages Long Short Term Memory(2 s-LSTM) Network can achieve accuracy of 97.50% and 93.60% respectively,shows it is feasible to achieve the goal of personal *** the time cost of ML-CNN is higher than the 2 s-LSTM,both are lower than human reaction *** the architecture of ML-CNN is more suitable to achieving the goal of personal authentication.

关键词： Personal Authentication Surface Electromyography(sEMG) Myo multi-layers Convolution Neural Network(CNN) LSTM Network

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DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition

arXiv

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arXiv 2022年

作者： Lu, Sha Xu, Xuecheng Tang, Li Xiong, Rong Wang, Yue State Key Laboratory of Industrial Control and Technology The Institute of Cyber-Systems and Control Zhejiang University Hangzhou310058 China Alibaba Group Hangzhou310052 China

LiDAR based place recognition is popular for loop closure detection and re-localization. In recent years, deep learning brings improvements to place recognition by learnable feature extraction. However, these methods degenerate when the robot re-visits previous places with large perspective difference. To address the challenge, we propose DeepRING to learn the roto-translation invariant representation from LiDAR scan, so that robot visits the same place with different perspective can have similar representations. There are two keys in DeepRING: the feature is extracted from sinogram, and the feature is aggregated by magnitude spectrum. The two steps keeps the final representation with both discrimination and roto-translation invariance. Moreover, we state the place recognition as a one-shot learning problem with each place being a class, leveraging relation learning to build representation similarity. Substantial experiments are carried out on public datasets, validating the effectiveness of each proposed component, and showing that DeepRING outperforms the comparative methods, especially in dataset level generalization. Copyright © 2022, The Authors. All rights reserved.

关键词： Deep learning

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LiDAR-inertial 3D SLAM with plane constraint for multi-story building

arXiv

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arXiv 2022年

作者： Zhang, Jiashi Zhang, Chengyang Wu, Jun Jin, Jianxiang Zhu, Qiuguo State Key Laboratory Of Industrial Control And Technology Zhejiang University Institute Of Cyber-System And Control Zhejiang University Hangzhou China

The ubiquitous planes and structural consistency are the most apparent features of indoor multi-story Buildings compared with outdoor environments. In this paper, we propose a tightly coupled LiDAR-Inertial 3D SLAM framework with plane features for the multi-story building. The framework we proposed is mainly composed of three parts: tightly coupled LiDAR-Inertial odometry, extraction of representative planes of the structure, and factor graph optimization. By building a local map and inertial measurement unit (IMU) pre-integration, we get LiDAR scan-to-local-map matching and IMU measurements, respectively. Minimize the joint cost function to obtain the LiDAR-Inertial odometry information. Once a new keyframe is added to the graph, all the planes of this keyframe that can represent structural features are extracted to find the constraint between different poses and stories. A keyframe-based factor graph is conducted with the constraint of planes, and LiDAR-Inertial odometry for keyframe poses refinement. The experimental results show that our algorithm has outstanding performance in accuracy compared with the state-of-the-art algorithms. Copyright © 2022, The Authors. All rights reserved.

关键词： Cost functions

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An AuNPs/Mesoporous NiO/Nickel Foam Nanocomposite as a Miniaturized Electrode for Heavy Metal Detection in Groundwater

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Engineering 2023年第8期27卷 199-208页

作者： Boyuan Xue Qian Yang Kaidong Xia Zhihong Li George Y.Chen Dayi Zhang Xiaohong Zhou State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of MicroelectronicsPeking UniversityBeijing 100871China Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things Guangdong and Hong Kong Joint Research Centre for Optical Fiber SensorsShenzhen UniversityShenzhen 518060China College of New Energy and Environment Jilin UniversityChangchun 130021China The Research Institute of Environmental Innovation(Suzhou) Tsinghua UniversitySuzhou 215000China

Heavy metals,notably Pb2+and Cu^(2+),are some of the most persistent contaminants found in *** monitoring of these metals,which relies on efficient,sensitive,cost-effective,and reliable methods,is a *** present a nanocomposite-based miniaturized electrode for the concurrent measurement of Pb2+and Cu^(2+)by exploiting the electroanalytical technique of square wave *** also propose a facile in situ hydrothermal calcination method to directly grow binder-free mesoporous Ni O on a three-dimensional nickel foam,which is then electrochemically seeded with gold nanoparticles(Au NPs).The meticulous design of a low-barrier Ohmic contact between mesoporous Ni O and Au NPs facilitates target-mediated nanochannel-confined electron transfer within mesoporous Ni *** a result,the heavy metals Pb2+(0.020 mg.L^(-1)detection limit;2.0–16.0 mg.L^(-1)detection range)and Cu^(2+)(0.013 mg.L^(-1)detection limit;0.4–12.8 mg.L^(-1)detection range)can be detected simultaneously with high ***,other heavy metal ions and common interfering ions found in groundwater showed negligible impacts on the electrode’s performance,and the recovery rate of groundwater samples varied between 96.3%±2.1%and 109.4%±0.6%.The compactness,flexible shape,low power consumption,and ability to remotely operate our electrode pave the way for onsite detection of heavy metals in groundwater,thereby demonstrating the potential to revolutionize the field of environmental monitoring.

关键词： AuNPs Mesoporous NiO Miniaturized electrode Heavy metal ions Groundwater Square wave voltammetry

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Lognormal and Gamma mixed negative binomial model for defects prediction in steel products 10

Lognormal and Gamma mixed negative binomial model for defect...

引用

10th IEEE Data Driven control and Learning systems Conference, DDCLS 2021

作者： He, Bocun Wei, Chihang Zhu, Zheren Zhang, Xinmin Song, Zhihuan State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University Zhejiang Hangzhou310027 China

ISBN: (纸本)9781665424233

In steel industry, variations in the manufacturing process cause various defects in products. Thus, it is important to forecast the instance of defects in real time. However, ordinary probability models are not adequate enough to describe the observed defect count data due to the nonnegative integers characteristics, high imbalanced distribution, and overdispersion. To explicitly account for these distinctive characteristics, the present work proposes an online quality forecast system developed on the lognormal and Gamma mixed negative binomial (LGNB) model. LGNB incorporates the lognormal and Gamma distributions to account for the random effect and dispersion in the data. In addition, the drawbacks of the ordinary negative binomial (NB) model such as low robustness and biased parameter estimation against data with large dispersion are conquered by the LGNB model. The efficacy of the LGNB model was validated via its application to the defect data of an ironmaking plant. The results show that the LGNB model improves the forecast accuracy as compared to the PLS, Poisson, and NB models, respectively. © 2021 IEEE.

关键词： Defects

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Personalized gait trajectory generation based on anthropometric features using Random Forest

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 15597-15608页

作者： Ren, Shixin Wang, Weiqun Hou, Zeng-Guang Chen, Badong Liang, Xu Wang, Jiaxing Peng, Liang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China The CAS Center for Excellence in Brain Science and Intelligence Technology Beijing100190 China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China

Using lower limb rehabilitation robots (LLRRs) to help stroke patients recover their walking ability is attracting more and more attention presently. Previous studies have shown that gait rehabilitation training with natural gait pattern can improve the therapeutic outputs. However, how to generate the personalized gait trajectory has not been well researched. In this paper, a personalized gait generation method based anthropometric features is proposed. Firstly, gait trajectories are fitted and simplified into Fourier coefficient vectors, which are used to represent gait trajectories. Secondly, fourteen body features are used to generate the personalized gait trajectories and the feature set is further optimized based on the minimal redundancy maximal relevance criterion for easy application on the LLRR. Then, the relationship between the optimized feature set and gait trajectories is modeled by using the RF algorithm. Finally, the performance of the proposed method is demonstrated by several comparison experiments. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Trajectories

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Micro-Newton scale variable thrust control technique and its noise problem for drag-free satellite platforms:a review

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2023年第10期24卷 841-858页

作者： Changyi XU Wenya LI Xuhui LIU Yong LI Chao ZHANG School of Control Science and Engineering Dalian University of TechnologyDalian 116024China Beijing Institute of Control Engineering Beijing 100190China State Key Laboratory of Fluid Power&Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310058China

High-precision detection in fundamental space physics,such as space gravitational wave detection,high-precision earth gravity field measurement,and reference frame drag effect measurement,is the key to achieving important breakthroughs in the scientific study of fundamental space *** high-precision measurements requires high-performance satellite platforms to achieve“drag-free control”in a near“pure gravity”flight *** critical technology for drag-free control is variable thrust control at the micro-Newton *** noise is the most important technical indicator for achieving drag-free ***,there is no literature about the current status and future prospects of variable thrust control based on thrust ***,the micro-Newton variable thrust control technology and the thrust noise of the drag-free satellite platform are reviewed in this ***,the research status of micro-Newton scale variable thrust control technology and its applications to drag-free satellite platforms are ***,the noise problem is analyzed in detail and its solution is theoretically investigated in three aspects:“cross-basin flow problem,”“control problem,”and“system instability and multiple-coupled problem.”Finally,a systematic overview is presented and the corresponding suggested directions of research are *** work provides detailed understanding and support for realizing low-noise variable thrust control in the next generation of drag-free satellites.

关键词： Space physics detection Satellite platforms Drag-free control Micro-Newton scale variable thrust Thrust noise

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Functional meniscus reconstruction with biological and biomechanical heterogeneities through topological self-induction of stem cells

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Bioactive Materials 2024年第6期36卷 358-375页

作者： Mingze Du Kangze Liu Huinan Lai Jin Qian Liya Ai Jiying Zhang Jun Yin Dong Jiang Department of Sports Medicine Peking University Third HospitalInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesEngineering Research Center of Sports Trauma Treatment Technology and DevicesMinistry of EducationBeijingChina The State Key Laboratory of Fluid Power Transmission and Control Systems Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityZhejiang310058China Department of Engineering Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityZhejiang310058China School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological University639798Singapore

Meniscus injury is one of the most common sports injuries within the knee joint,which is also a crucial pathogenic factor for osteoarthritis(OA).The current meniscus substitution products are far from able to restore meniscal biofunctions due to the inability to reconstruct the gradient heterogeneity of natural meniscus from biological and biomechanical ***,inspired by the topology self-induced effect and native meniscus microstructure,we present an innovative tissue-engineered meniscus(TEM)with a unique gradient-sized diamond-pored microstructure(GSDP-TEM)through dual-stage temperature control 3D-printing system based on the mechanical/biocompatibility compatible high M_(w) poly(ε-caprolactone)(PCL).Biologically,the unique gradient microtopology allows the seeded mesenchymal stem cells with spatially heterogeneous differentiation,triggering gradient transition of the extracellular matrix(ECM)from the inside ***,GSDP-TEM presents excellent circumferential tensile modulus and load transmission ability similar to the natural *** implantation in rabbit knee,GSDP-TEM induces the regeneration of biomimetic heterogeneous neomeniscus and efficiently alleviates joint *** study provides an innovative strategy for functional meniscus *** self-induced cell differentiation and biomechanical property also provides a simple and effective solution for other complex heterogeneous structure reconstructions in the human body and possesses high clinical translational potential.

关键词： Tissue-engineered meniscus Functional reconstruction Mesenchymal stem cells Heterogeneity Topology structure

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