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Digital twin system framework and information model for industry chain based on industrial Internet

Frontiers of Information Technology & Electronic engineering 2024年第7期25卷 951-967页

作者： Wenxuan WANG Yongqin LIU Xudong CHAI Lin ZHANG School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Control Science and Engineering Jilin UniversityChangchun 130012China CASICloud China Aerospace Science and Industry Corporation LimitedBeijing 100080China

The integration of industrial Internet,cloud computing,and big data technology is changing the business and management mode of the industry ***,the industry chain is characterized by a wide range of fields,complex environment,and many factors,which creates a challenge for efficient integration and leveraging of industrial big *** at the integration of physical space and virtual space of the current industry chain,we propose an industry chain digital twin(DT)system framework for the industrial *** addition,an industry chain information model based on a knowledge graph(KG)is proposed to integrate complex and heterogeneous industry chain data and extract industrial ***,the ontology of the industry chain is established,and an entity alignment method based on scientific and technological achievements is ***,the bidirectional encoder representations from Transformers(BERT)based multi-head selection model is proposed for joint entity–relation extraction of industry chain ***,a relation completion model based on a relational graph convolutional network(R-GCN)and a graph sample and aggregate network(GraphSAGE)is proposed which considers both semantic information and graph structure information of *** results show that the performances of the proposed joint entity–relation extraction model and relation completion model are significantly better than those of the ***,an industry chain information model is established based on the data of 18 industry chains in the field of basic machinery,which proves the feasibility of the proposed method.

关键词： Industry chain Digital twin Industrial Internet Knowledge graph Graph neural network

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Evaluation and Optimization Schemes of Eddy Current Loss on Structural Components for High Voltage Converter Transformer 4th

Evaluation and Optimization Schemes of Eddy Current Loss on ...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： Shen, Min Guo, Penghong Wang, Yanling Sun, Youliang Yu, Xiangdong School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China Shandong Power Equipment Co. Ltd. Jinan250022 China School of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9789819974122

Compared with the traditional alternating current (AC) transmission system, High-voltage direct current (HVDC) transmission technology plays an essential role in the long distance, large capacity, and regional power grid interconnection, for its characteristics of higher economy, reliability, and stability. As the key power equipment in the HVDC transmission system, the converter trans-former cooperates with the converter valve to achieve AC and DC conversion. Due to the large capacity, high impedance, harmonics, DC bias, and other working conditions for the converter transformer, the eddy current loss of the structural components induced by leakage magnetic flux, will be increased significantly and result in the efficiency reduction and local overheating problem, endangering the operational reliability of itself and the power system. In a flexible HVDC transmission system, regarding the convert-er transformer as the research object, the optimal composite shielding scheme is proposed and determined by the optimization design and finite element analysis (FEA) calculation, which are based on the values and distribution of leakage flux and loss density. Furthermore, the experimental results verify the proposed overall leakage magnetic flux control scheme. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： HVDC power transmission

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Design the Wind Pendulum Based on Fuzzy PID control System 3

Design the Wind Pendulum Based on Fuzzy PID Control System

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Lin, Chaoyue Fu, Qiang Cui, Wangzhan Wang, Zipeng Chen, Peng School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798331540319

This paper described the design of a wind pendulum system, comprising four main components: the operative unit, the data acquisition module, the human-computer interaction interface, and the algorithmic core. By leveraging the principles of the simple pendulum and Lissajous curves, the design enabled the wind pendulum to achieve precise linear and circular motions. The control strategy relied on a fuzzy PID control algorithm, which facilitated closed-loop control and enhanced system stability and performance. The schematic design and PCB layout for the control system were created using Electronic Design automation (EDA) tools. Furthermore, MATLAB simulations and experimental validation were conducted to assess the performance of the fuzzy PID algorithm in comparison to traditional PID control. The experimental results revealed that fuzzy PID control not only reduced overshoot, shortened settling time, and improved accuracy, but also greatly improved the wind pendulum's ability to execute fixed linear and circular motions with speed and precision. This approach demonstrated the benefits of fuzzy PID in optimizing dynamic system performance, particularly in applications demanding high precision and rapid response. © 2024 IEEE.

关键词： Fuzzy PID STM32F103C8T6 Wind pendulum

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Prediction of Heat Load of Thermal Station Based on Neural Network 24

Prediction of Heat Load of Thermal Station Based on Neural N...

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6th International Conference on control and Computer Vision, ICCCV 2024

作者： Zhu, Xinying Geng, Liqing Yang, Genghuang Huo, Yang Xu, Shiyuan Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin University of Technology and Education China Co. Ltd China

ISBN: (纸本)9798400718045

To solve the problem of improving the prediction accuracy of thermal station, multi-strategy fusion Sparrow Search Algorithm to optimize the Neural Network prediction method. First, the acquired data is preprocessed to ensure the continuity of the data;second, the Pearson Correlation Coefficient method is used to determine the input feature variables and construct the data set through the data;and finally, Sparrow Search Algorithm and multi-strategy fusion Sparrow Search Algorithm respectively optimizes Back Propagation Neural Network and Long Short-Term Memory Neural Network models for heat supply prediction. After example verification and comparison, the multi-strategy fusion Sparrow Search Algorithm optimizes the Back Propagation Neural Network model with the minimum prediction error, which effectively improves the prediction accuracy. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Prediction models

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A case study of virtual CNC machine tool assembly and human-computer interaction techniques 2

A case study of virtual CNC machine tool assembly and human-...

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2023 2nd International Conference on Mechanical, Aerospace Technology and Materials Application, MATMA 2023

作者： Zhang, Tianzhi Bing, Zhigang Chen, Biao Xu, Yu Ming, Rui School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin GongJiang Double Carbon Research Institute Tianjin300384 China

When it comes to the virtual machine tool assembly process, there are problems such as assembly errors. Based on the general idea of correct assembly, it is proposed to innovate the assembly process by utilizing the enclosing box and separating axis theorem and GJK algorithm, so as to monitor the state of the detection process, which verifies the effective feasibility of the monitoring method and provides a new idea for the assembly process of virtual CNC machine tools. © Published under licence by IOP Publishing Ltd.

关键词： Assembly

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Autonomy for Ships: System Thinking and engineering 30

Autonomy for Ships: System Thinking and Engineering

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30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

作者： Dittmann, Kjeld Technical University of Denmark Automation and Control Group Department of Electrical and Photonics Engineering Lyngby2800 Denmark

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

Marine autonomy research has focused on al-gorithmic and technical developments, targeting autonomous craft in restricted areas where international rules and regu-lations are not prioritised. This paper addresses the system engineering aspect of a highly complex system in which the seamless, predictable, and secure interoperability of vendor-specific hardware and software subsystems is a fundamental requirement for designing and implementing cyber-physical systems with artificial intelligence to assist or replace the navigating officer, such as autonomous marine surface vehicles. It addresses international rules in the sector and exhibits a system architecture that can fulfil the criteria for safe behaviour in foreseen occurrences and the capacity to request human aid if the autonomous system cannot manage a problem. The system thinking and engineering provided in this article have been applied to The GreenHopper, a harbour bus currently under construction and intended to undergo certification and enter commercial service. © 2022 University of Split, FESB.

关键词： Systems thinking

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Pedestrian object detection algorithm based on lightweight YOLOv7 in complex street scenarios

Pedestrian object detection algorithm based on lightweight Y...

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2023 International Conference on Algorithm, Imaging Processing, and Machine Vision, AIPMV 2023

作者： Cheng, Shangqi Niu, Hongxia Key Laboratory of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou730070 China Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province Lanzhou730070 China School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (纸本)9781510672444

In view of the problems of excessive parameter setting and large calculation of YOLOv7 in pedestrian object detection in complex street scenarios, this paper proposes a lightweight method to improve YOLOv7 algorithm. Under the YOLOv7 framework, Partial Convolution (PConv) is integrated into the convolution of the original algorithm, replacing part of the convolution in the original convolution layer, and the SEAttention attention module is introduced to ensure the detection accuracy of the lightweight algorithm. The experimental results on the home-made data set show that, compared with the original YOLOv7 algorithm, the number of model parameters decreased by 11.0% in the improved YOLOv7 algorithm, and the algorithm calculation volume decreased by 19.4%, while ensuring the high accuracy of the original YOLOv7 algorithm. In this paper, the algorithm reduces the number of parameters and calculations, and achieves the balance of lightweight and accuracy. © 2024 SPIE.

关键词： Convolution

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Optimization for vibration analysis in rotating machines

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2022年 20卷 369-373页

作者： Calderón Ch, J. Alan Tafur Sotelo, Julio C. Gamarra, Benjamín Barriga Alencastre, Jorge Lozano, John Urbizagástegui, Rodrigo Solano, Gonzalo Menacho, Daniel Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau98693 Germany Control Engineering and Automation Master Program Mechatronic Engineering Master Program Engineering Department Pontificia Universidad Católica del Perú Peru Federal University named after MV Lomonosov Arkhangelsk Russia

A not stable mechanical movement transmission between systems produces equilibrium losses, such as a rotor of motors that are coupled in rotating machines. This can be studied as a disturbance "vibration" either as characteristic of the movement transmission due to controlled displacement over rotors, which transmits the movement. Therefore, in this research is presented an analysis for an optimal control of the rotor axis displacement that includes "vibration" as the part of the movement transmission. It implies mathematical modelling and specific sensors selections to correlate the vibration in this control task. Furthermore, in order to verify the proposed analysis, it was simulated and tested in a hybrid magnetic bearing system. © 2022, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Vibration analysis

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Design and Development of Electric Motor Torque Meter Using Microcontroller

Design and Development of Electric Motor Torque Meter Using ...

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Research, Invention, and Innovation Congress (RI2C)

作者： Peerawat Meesuk Natthaphong Nak-Udom Kittiphong Phimyotha Program of Electrical Engineering and Automation Control System Faculty of Engineering and Industrial Technology Bansomdejchaopraya Rajabhat University Bangkok Thailand Program of Electromechanic Manufacturing Engineering Faculty of Engineering and Industrial Technology Bansomdejchaopraya Rajabhat University Bangkok Thailand

ISBN: (数字)9798331506018

ISBN: (纸本)9798331506025

This article presents the development of electric motor torque meter using microcontroller together with dynamometer process and application of light process to find out revolutions per minute (RPM) which torque is a variable that affects the effectiveness of electrical machine. A torque meter is, therefore, a tool that has an important role to work with mechanical part. The torque meter and RPM was tested and found that there is an error of torque measure at 13.74 percent and found that the torque has higher errors when it exceeds 2 N-m and there is an error of RPM at 5.36 percent.

关键词： Technological innovation Torque Microcontrollers Measurement uncertainty Size measurement Pollution measurement electrical resistance measurement Tachometers Standards Electric motors

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The Magnetic Positioning System Based on Genetic Algorithm-optimized BP Natural Network 25

The Magnetic Positioning System Based on Genetic Algorithm-o...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Lin, Chaoyue Liu, Huajun Li, Xingyu Fu, Qiang Chen, Peng Tianjin University of Technology School of Electrical Engineering and Automation Tianjin China Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

This article details a magnetic positioning system using a genetic algorithm-optimized BPNN. The hardware includes a control module with an Arduino Mega 2560, a data collection module using Honeywell HMC5883L magnetometers for XYZ magnetic data, and a communication module integrating I2C via TCA9548A for sensor connections. The BPNN and genetic algorithm principles are combined in MATLAB to optimize weights and biases. Results show the system converges faster, predicts coordinates closer to actual values, and improves accuracy and robustness across environments, enhancing overall system performance and stability. © 2024 IEEE.

关键词： MATLAB

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