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Advancements in research and current applications of

The European Physical Journal Special Topics 2025年 1-29页

作者： Zhou, Zhengrong Zhang, Hongwei Huang, Rongjin He, Feng Xu, Dong Yan, Xiuwen Li, Laifeng Technical Institute of Physics and Chemistry Key Laboratory of Cryogenic Science and Technology Chinese Academy of Sciences Beijing China Hunan Key Laboratory of High-Performance Intelligent Sensor and Detection System The 48th Research Institute of CETC Changsha China Hunan National Defense Key Laboratory of Thin Film Sensing Technology The 48th Research Institute of CETC Changsha China School of Future Technology University of Chinese Academy of Sciences Beijing China

In recent years, superconducting quantum interference devices (SQUIDs) based on the Josephson effect have undergone significant advancements. As one of the most sensitive and precise instruments for measuring magnetic fields, SQUIDs are widely used in low-frequency communications, biomagnetic measurements, aerial magnetometry, nondestructive testing, magnetic measurement microscopy, and other fields. The development of SQUIDs involves theories and technologies such as electromagnetic theory, superconductivity, semiconductor technology, thin film fabrication technology, packaging technology, electronic circuits, and cryogenics, reflecting a product of multidisciplinary integration. This paper reviews and summarizes the principles, types, processes, system structures, and current research status of SQUIDs while anticipating future developments in this field.

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Ontology Modelling of Smart Product-Service system Components towards Mass Personalization

Ontology Modelling of Smart Product-Service System Component...

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2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024

作者： Chen, Lucheng Sheng, Guojun Qin, Chenggang Wang, Chao Wu, Alexander T.Y. Nuertai, Ayala Zhou, Tongtong Ming, Xinguo SJTUSME-COSMOPlat Joint Research Center for New Generation Industrial Intelligent Technology School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Co. Ltd Shandong Qingdao266100 China State Key Laboratory of Massive Personalized Customization System and Technology Shandong266100 China School of Design Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9798350386097

Customer products have become increasingly driven by mass personalization as industries are shifting to knowledge-driven user-centric design approaches such as Smart Product-Service systems (Smart PSS) to better meet expectations and remain competitive. However current user-centric design methods lack a semantic framework that properly models the components of a Smart PSS, leading to a lack in the usefulness of the knowledge generated from user research. This paper aims to create an ontological model that defines the components of a Smart PSS and their relationships to help enterprises better support dynamic personalization requirements. A case-study of electric vehicles is then presented to explore the usage of the ontology-based knowledge model on a Smart PSS. © 2024 IEEE.

关键词： Smart manufacturing

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Energy system Prediction and Optimal Scheduling Based on Operating Condition Identification for Steel Enterprises

Energy System Prediction and Optimal Scheduling Based on Ope...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Gang Sheng Yanguang Sun Jialong Liu Jinxiang Chen State Key Laboratory of Metallurgical Intelligent Manufacturing System Automation Research and Design Institute of Metallurgical Industry Co. Ltd. Central Iron & Steel Research Institute Beijing P.R. China State Key Laboratory of Metallurgical Intelligent Manufacturing System Automation Research and Design Institute of Metallurgical Industry Co. Ltd. China Iron & Steel Research Institute Group Beijing P.R. China Automation Research and Design Institute of Metallurgical Industry Co. Ltd. Beijing P.R. China State Key Laboratory of Metallurgical Intelligent Manufacturing System Automation Research and Design Institute of Metallurgical Industry Co. Ltd. Beijing P.R. China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In the steel production process, there is significant energy generation and consumption. Achieving flexible and efficient utilization of energy is crucial for steel enterprises to achieve energy savings and cost reduction. The integrated energy system of a steel enterprise involves various energy sources and production equipment. Understanding the relationship between equipment energy production and consumption, as well as the coupling relationships between different energy sources, is key to realizing flexible and efficient energy utilization. This paper establishes an integrated energy system prediction and optimization scheduling model based on operating condition identification, while considering time-of-use electricity pricing, with the goal of maximizing economic performance. The model also accounts for production processes, energy coupling, safety requirements, and time-of-use electricity pricing. To evaluate the model's accuracy and applicability, a case study was conducted. The results show that by using an improved K-means clustering algorithm for operating condition tracking and identification, the gas holder level prediction accuracy exceeded 95%. Additionally, the frequency of steam turbine generator load fluctuations was reduced, lowering adjustment costs for the units. The fluctuation amplitude of gas holder levels was also minimized, keeping the levels within the optimal operating range. After the model's implementation, the self-generation rate of the steel enterprise increased, the proportion of purchased peak electricity decreased, and significant economic benefits were achieved.

关键词： Accuracy Electricity Optimal scheduling Pricing Predictive models Prediction algorithms Generators Steel Turbines Load modeling

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Analyzing Influence Factors of Blockchain Technology in Prognostics and Health Management Based on Spherical Fuzzy DEMATEL Method and Technology Adoption Theory

Analyzing Influence Factors of Blockchain Technology in Prog...

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2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024

作者： Hai, Zhengwei Meng, Xiangxiu Hui, Guo Lu, XiaoPing Zhou, Tongtong Ming, Xinguo SJTUSME-COSMOPlat Joint Research Center for New Generation Industrial Intelligent Technology School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Co. Ltd Shandong Qingdao266100 China State Key Laboratory of Massive Personalized Customization System and Technology Shandong 266100 China School of Design Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9798350386097

Prognostics and health management (PHM) aims to reduce sudden failures during system operation, thereby improving system performance and protecting personal safety from harmful condition. Nonetheless, implementation of PHM still faces many difficulties related to security, privacy, and trustiness issues. Blockchain, an emerging technology, has great potential to resolve these problems. Adopting blockchain in PHM is a challenging task and a comprehensive analysis is required before jumping into innovation. However, scientific surveys pertaining to the topic are still scarce. In this article, a systematical exploration of the potential and influence factor of blockchain adoption in PHM is presented. combined technology adoption theory (TAT) is proposed as theoretical foundation for identifying influence factors of blockchain adoption in PHM. Twenty-one factors at both individual-level and firm-level are captured. Thirdly, a dual-ideal distance based spherical fuzzy DEMATEL is introduced to evaluate the interrelationships and importance of the influence factors with considering vagueness and hesitancy of experts’ judgements. Aiming to demonstrate the feasibility and effectiveness, a case study and several comparative analyses are performed finally. © 2024 IEEE.

关键词： Blockchain adoption DEMATEL Influence factor Prognostics and health management (PHM) Spherical fuzzy sets

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Wireless power transmission system with CC and CV output based on hybrid LCC-S/P topology

Wireless power transmission system with CC and CV output bas...

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Electronics and Communication, Network and Computer Technology (ECNCT), International Conference on

作者： Kun Li Zheng Gong Jiaheng Meng Qing Liu Tianjin Key Laboratory of Film Electronic and Communication Device Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China

Wireless Power Transfer (WPT) technology provides a convenient and efficient power supply solution for mobile devices. The utilization of constant current (CC) and constant voltage (CV) control in WPT systems proves valuable for charging battery applications. This paper presents a novel WPT system with CC and CV output characteristics, employing a switching topology. Specifically, the LCC-S and LCC-P topologies are applied and rigorously simulated. The proposed MCR-WPT system’s output characteristics in both CC and CV modes are meticulously validated using Saber software. The simulation results distinctly demonstrate the system’s capability to achieve CC and CV outputs within a varying load resistance range of 5Ω to 30Ω, thus conclusively establishing the efficacy of the topology switching technology.

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design and Analysis of a Novel Weight Reduction system for Simulating Astronauts Walking in Low-Gravity Environment

Design and Analysis of a Novel Weight Reduction System for S...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Jing Zhang Jinliang Zhu Na Wang Aibin Zhu Xin Wang Zheng Zhang Haibo Xu Shaanxi Key Laboratory of Intelligent Robots Institute of Robotics & Intelligent Systems Xi'an Jiaotong University Xi'an China Key Laboratory of Education Ministry for Modern Design Rotor-Bearing System Xi'an China School of Construction Machinery Chang'an University Xi'an China

With the development of spaceflight, a strong demand for research on human activities in low-gravity or completely weightless environments in space has emerged. In this paper, a novel weight reduction system is designed to simulate astronauts walking in low-gravity environment. Based on the perfect static gravity balance, the system combines an active compensation strategy in which the wire tension mechanism drives the trunk support platform to assist people through wire-driven double parallelogram linkage. Passive balance is used to compensate partial weight of the body, and active control is used to achieve dynamic balance during the motion. In addition, static and dynamic balance control is used to evaluate the static and dynamic performance of the weight reduction system. The simulation results show that the system can significantly reduce the lower limb joint moments and ground reaction forces of the subjects, which verifies the feasibility of the system to simulate a low-gravity environment.

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Measuring Method and Experiments of Knee Joint Moment of Assisted Exoskeleton Based on Neural Network

Measuring Method and Experiments of Knee Joint Moment of Ass...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Yue Jia Diyang Dang Han Mao Aibin Zhu Xin Wang Na Wang Zheng Zhang Haibo Xu Shaanxi Key Laboratory of Intelligent Robots Institute of Robotics & Intelligent Systems Xi'an Jiaotong University Xi'an China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an China School of Construction Machinery Chang'an University Xi'an China

The research on the knee joint moment measurement method is of great significance for the moment control and efficiency measurement of the assisted exoskeleton. For most of the existing measuring methods are not suitable when wearing the assisted exoskeleton, knee joint moment measuring methods of assisted exoskeleton system based on Back-propagation (BP) neural network and Long short term memory (LSTM) neural network is proposed, in which surface EMG to joint moment mapping model is created. The estimation of knee moment at different load levels is realized. The experiment of human walking with a natural gait is verified. The root mean square error of the prediction is less than 17%, and the correlation coefficient is above 0.95.

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design and Experiment of Multi-Modal intelligent Elderly Assisted Wheelchair Robot

Design and Experiment of Multi-Modal Intelligent Elderly Ass...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Yulin Zhang Han Mao Shuting Yu Aibin Zhu Xin Wang Na Wang Zheng Zhang Haibo Xu Shaanxi Key Laboratory of Intelligent Robots Institute of Robotics & Intelligent Systems Xi'an Jiaotong University Xi'an China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an China School of Construction Machinery Chang'an University Xi'an China

In response to the prevalent social issue of elderly individuals living alone who lack independent mobility and face difficulties in standing up and getting up, a multi-modal intelligent elderly assistance wheelchair robot has been developed to provide assistance in such scenarios. This paper presents the analysis of the assistance needs of the elderly, along with the proposed main functions of the robot. The mechanical structure of the robot was designed and verified through finite element analysis, followed by experimental verification of assisted standing, transformation of bed and chair form, assisted getting up, and knee-free bending assisted getting up functions. The results of the experiments demonstrate that the multi-modal intelligent wheelchair robot developed in this study can effectively assist the elderly living alone in completing the actions of getting up and standing, thereby reducing their physical burden in home activities and improving their quality of life. This development has potential for broader applicability in the field of elderly care.

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Investigation on Flexible Interconnected Device Based on Multi-Terminal SOP

Investigation on Flexible Interconnected Device Based on Mul...

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2023 China Automation Congress, CAC 2023

作者： Zhao, Jian Zhao, Yang Wang, Ming Hui, Hui Yu, Jian Gao, Ming Yang, Liming Lan, Zhiming Wang, Chengsheng State Grid Zhejiang Yuyao Power Supply Co. Ltd. Yuyao China China Electric Power Research Institute Beijing China Institute of Metallurgical Industry Co. Ltd. Automation Research and Design Beijing China National Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing China

ISBN: (纸本)9798350303759

The Application of flexible interconnection technology is an effective method to realize dynamic capacity expansion and rapid transmission of power restoration. Aiming to realize flexible close-loop operation of urban distribution network, the flexible interconnected device based on multi-terminal soft open point (SOP) is investigated in this paper. A four-terminal SOP topology scheme is designed, and the three-phase two-level voltage source converter (VSC) is adopted as the key equipment. One converter adopts DC voltage close loop control to stabilize DC voltage as master converter, the other three converters adopt power control as slave converters. A hierarchical control strategy based on different time scales is proposed in this paper. It is divided to local control layer, centralized control layer and dispatching layer of distribution network. A simulation model of four terminal SOP topology is built to analyze its normal operation performance. The simulation result verifies the feasibility of the flexible interconnected device proposed in this paper. © 2023 IEEE.

关键词： Topology

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Exploration and Practice of Blended Teaching in the Course of Engineering Drawing Empowered by Knowledge Graph

Exploration and Practice of Blended Teaching in the Course o...

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International Conference on Educational and Information Technology (ICEIT)

作者： Yahong Xue Haozhi Mu Lijun Xue Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin University of Technology Tianjin China

ISBN: (数字)9798350372663

ISBN: (纸本)9798350372670

Under the current blended learning mode, students' ability to process, organize, and integrate knowledge is insufficient, and the ability to construct a complete knowledge system for autonomous learning is slightly weak. Taking the national first-class undergraduate course “Engineering Drawing” at Tianjin University of Technology as an example, this study explores and practices the teaching of online and offline hybrid courses based on knowledge graphs, and conducts a comprehensive effectiveness analysis. Practice has proven that the hybrid teaching empowered by knowledge graphs enables visualization of knowledge points and analysis of learning situations, allows for planned learning paths, intelligent resource recommendations, and can achieve targeted integration of data and teaching of key and difficult issues. It has reference significance for the construction of an open, personalized, and precise intelligent education system.

关键词： Federated learning Engineering drawings Education Knowledge based systems Data visualization Knowledge graphs Hybrid learning

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