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digital twins and multi-access edge computing for IIoT

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Virtual Reality & Intelligent Hardware 2022年第6期4卷 521-534页

作者： Andreas P.PLAGERAS Konstantinos E.PSANNIS Department of Applied Informatics University of Macedonia54636Greece

Background All recent technological findings can be collectively used to strengthen the industrial Internet of things(IIoT)*** novel technology of multi-access edge computing or mobile edge computing(MEC)and digital twins have advanced rapidly in the *** is the middle layer between mobile devices and the cloud,and it provides scalability,reliability,security,efficient control,and storage of *** twins form a communication model that enhances the entire system by improving latency,overhead,and energy *** The main focus in this study is the biggest challenges that researchers in the field of IIoT have to overcome to obtain a more efficient communication environment in terms of technology integration,efficient energy and data delivery,storage spaces,security,and real-time control and ***,a distributed system is established in a local network,in which several functions *** addition,an MEC-based framework is proposed to reduce traffic and latency by merging the processing of data generated by IIoT devices at the edge of the *** critical parts of the proposed IIoT system are evaluated by using emulation *** The results show that data delivery and offloading are performed more efficiently,energy consumption and processing are improved,and security,complexity,control,and reliability are *** The proposed framework and application provide authentication and integrity to end users and IoT devices.

关键词： digital twins Energy efficiency IIoT Load balance MCC MEC Protocols

Design of modified model of intelligent assembly digital twins based on optical fiber sensor network

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digital Communications and Networks 2024年第5期10卷 1542-1552页

作者： Zhichao Liu Jinhua Yang Juan Wang Lin Yue School of Opto-Electronic Engineering Changchun University of Science and Technology Key Laboratory of Optoelectric Measurement and Optical Information Transmission Technology of Ministry of Education Changchun University of Science and Technology Department of Actuarial Science and Business Analytics Macquarie UniversityNSW

Intelligent assembly of large-scale,complex structures using an intelligent manufacturing platform represents the future development direction for industrial *** large-scale structural assembly processes,several bottleneck problems occur in the existing auxiliary assembly ***,the traditional LiDARbased assembly technology is often limited by the openness of the manufacturing environment,in which there are blind spots,and continuous online assembly adjustment thus cannot be ***,for assembly of large structures,a single-station LiDAR system cannot achieve complete coverage,which means that a multi-station combination method must be used to acquire the complete three-dimensional data;many more data errors are caused by the transfer between stations than by the measurement accuracy of a single station,which means that the overall system's measurement and adjustment errors are increased ***,because of the large numbers of structural components contained in a large assembly,the accumulated errors may lead to assembly interference,but the LiDAR-assisted assembly process does not have a feedback perception capability,and thus assembly component loss can easily be caused when assembly interference ***,this paper proposes to combine an optical fiber sensor network with digital twin technology,which will allow the test data from the assembly entity state in the real world to be applied to the "twin" model in the virtual world and thus solve the problems with test openness and data *** problem of station and perception feedback is also addressed and represents the main innovation of this *** system uses an optical fiber sensor network as a flexible sensing medium to monitor the strain field distribution within a complex area in real time,and then completes real-time parameter adjustment of the virtual assembly based on the distributed *** areas include areas that are laser-unreachable,areas

关键词： digital twins Intelligent manufacturing Intelligent assembly Optical fiber sensor network Assembly condition monitoring algorithm

Game theory in network security for digital twins in industry

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digital Communications and Networks 2024年第4期10卷 1068-1078页

作者： Hailin Feng Dongliang Chen Haibin Lv Zhihan Lv School of Information Engineering Zhejiang A&F UniversityHangzhou311300China School of Data Science and Software Engineering Qingdao UniversityQingdao266000China North China Sea Offshore Engineering Survey Institute Ministry of Natural Resources North Sea BureauQingdao266000China Department of Game Design Faculty of ArtsUppsala UniversitySweden

To ensure the safe operation of industrial digital twins network and avoid the harm to the system caused by hacker invasion,a series of discussions on network security issues are carried out based on game *** the perspective of the life cycle of network vulnerabilities,mining and repairing vulnerabilities are analyzed by applying evolutionary game *** evolution process of knowledge sharing among white hats under various conditions is simulated,and a game model of the vulnerability patch cooperative development strategy among manufacturers is *** this basis,the differential evolution is introduced into the update mechanism of the Wolf Colony Algorithm(WCA)to produce better replacement individuals with greater probability from the perspective of both attack and *** the simulation experiment,it is found that the convergence speed of the probability(X)of white Hat 1 choosing the knowledge sharing policy is related to the probability(x0)of white Hat 2 choosing the knowledge sharing policy initially,and the probability(y0)of white hat 2 choosing the knowledge sharing policy *** y0?0.9,X converges rapidly in a relatively short *** y0 is constant and x0 is small,the probability curve of the“cooperative development”strategy converges to *** is concluded that the higher the trust among the white hat members in the temporary team,the stronger their willingness to share knowledge,which is conducive to the mining of loopholes in the *** greater the probability of a hacker attacking the vulnerability before it is fully disclosed,the lower the willingness of manufacturers to choose the"cooperative development"of vulnerability *** the improved wolf colonyco-evolution algorithm can obtain the equilibrium solution of the"attack and defense game model",and allocate the security protection resources according to the importance of *** study can provide an effective solution to protect the network security

关键词： digital twins Industrial internet of things Network security Game theory Attack and defense

A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing

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digital Communications and Networks 2024年第2期10卷 282-291页

作者： Jiachen Yang Meng Xi Jiabao Wen Yang Li Houbing Herbert Song School of Electrical and Information Engineering Tianjin UniversityTianjin300072China Security and Optimization for Networked Globe Laboratory(SONG Lab) Embry-Riddle Aeronautical UniversityDaytona BeachFL32114USA

The Autonomous Underwater Glider(AUG)is a kind of prevailing underwater intelligent internet vehicle and occupies a dominant position in industrial applications,in which path planning is an essential *** to the complexity and variability of the ocean,accurate environment modeling and flexible path planning algorithms are pivotal *** traditional models mainly utilize mathematical functions,which are not complete and *** existing path planning algorithms depend on the environment and lack *** overcome these challenges,we propose a path planning system for underwater intelligent internet *** applies digital twins and sensor data to map the real ocean environment to a virtual digital space,which provides a comprehensive and reliable environment for path *** design a value-based reinforcement learning path planning algorithm and explore the optimal network structure *** path simulation is controlled by a closed-loop model integrated into the terminal vehicle through edge *** integration of state input enriches the learning of neural networks and helps to improve generalization and *** task-related reward function promotes the rapid convergence of the *** experimental results prove that our reinforcement learning based path planning algorithm has great flexibility and can effectively adapt to a variety of different ocean conditions.

关键词： digital twins Reinforcement learning Edge computing Underwater intelligent internet vehicle Path planning

Design and Implementation of Secure and Reliable Information Interaction Architecture for digital twins

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China Communications 2023年第2期20卷 79-93页

作者： Qian Wang Wanwan Wu Liping Qian Yiming Cai Jiang Qian Limin Meng College of Information Engineering Zhejiang University of TechnologyHangzhou 310023China

In order to improve the comprehensive defense capability of data security in digital twins(DTs),an information security interaction architecture is proposed in this paper to solve the inadequacy of data protection and transmission mechanism at ***,based on the advanced encryption standard(AES)encryption,we use the keystore to expand the traditional key,and use the digital pointer to avoid the key transmission in a wireless ***,the identity authentication technology is adopted to ensure the data integrity,and an automatic retransmission mechanism is added for the endogenous properties of the wireless ***,the software defined radio(SDR)platform composed of universal software radio peripheral(USRP)and GNU radio is used to simulate the data interaction between the physical entity and the virtual *** numerical results show that the DTs architecture can guarantee the encrypted data transmitted completely and decrypted accurately with high efficiency and reliability,thus providing a basis for intelligent and secure information interaction for DTs in the future.

关键词： digital twins AES encryption digital pointer identity authentication automatic retransmission SDR

Modeling Methods of 3D Model in digital twins

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 985-1022页

作者： Ruijun Liu Haisheng Li Zhihan Lv School of Computer Science and Engineering Beijing Technology and Business UniversityBeijing100080China Department of Game Design Faculty of ArtUppsala UniversityUppsalaS-75105Sweden

To understand the current application and development of 3D modeling in digital twins(DTs),abundant literatures on DTs and 3D modeling are investigated by means of literature *** transition process from 3D modeling to DTs modeling is analyzed,as well as the current application of DTs modeling in various *** application of 3D DTs modeling in the􀀀elds of smartmanufacturing,smart ecology,smart transportation,and smart buildings in smart cities is analyzed in detail,and the current limitations are *** is found that the 3D modeling technology in DTs has broad prospects for development and has a huge impact on all walks of life and even human *** the same time,the development of DTs modeling relies on the development and support capabilities of mature technologies such as Big Data,Internet of Things,Cloud Computing,Articial Intelligence,and game ***,although some results have been achieved,there are still *** work aims to provide a good theoretical support for the further development of 3D DTs modeling.

关键词： digital twins 3D modeling smart manufacturing smart city smart buildings

Collaborative Clustering Parallel Reinforcement Learning for Edge-Cloud digital twins Manufacturing System

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China Communications 2022年第8期19卷 138-148页

作者： Fan Yang Tao Feng Fangmin Xu Huiwen Jiang Chenglin Zhao School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China China Tendering Center for Mechanical and Electrical Equipment Ministry of Industry and Information TechnologyBeijing 100142China

To realize high-accuracy physical-cyber digital twin(DT)mapping in a manufacturing system,a huge amount of data need to be collected and analyzed in *** DTs systems are deployed in cloud or edge servers independently,whilst it is hard to apply in real production systems due to the high interaction or execution *** results in a low consistency in the temporal dimension of the physical-cyber *** this work,we propose a novel efficient edge-cloud DT manufacturing system,which is inspired by resource scheduling ***,an edge-cloud collaborative DTs system deployment architecture is first ***,deterministic and uncertainty optimization adaptive strategies are presented to choose a more powerful server for running DT-based *** model the adaptive optimization problems as dynamic programming problems and propose a novel collaborative clustering parallel Q-learning(CCPQL)algorithm and prediction-based CCPQL to solve the *** proposed approach reduces the total delay with a higher convergence *** simulation results are provided to validate the approach,which would have great potential in dynamic and complex industrial internet environments.

关键词： edge-cloud collaboration digital twins job shop scheduling parallel reinforcement learning

Integrating digital twins and deep learning for medical image analysis in the era of COVID-19

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Virtual Reality & Intelligent Hardware 2022年第4期4卷 292-305页

作者： Imran AHMED Misbah AHMAD Gwanggil JEON School of Computing and Information Science Faculty of Science and EngineeringAnglia Ruskin UniversityEast RoadCambridgeEnglandUK Center of Excellence in IT Institute of Management SciencesHayatabadPeshawarPakistan Department of Embedded Systems Engineering Incheon National UniversityIncheonKorea

Background digital twins are virtual representations of devices and processes that capture the physical properties of the environment and operational algorithms/techniques in the context of medical devices and *** twins may allow healthcare organizations to determine methods of improving medical processes,enhancing patient experience,lowering operating expenses,and extending the value of *** the present COVID-19 pandemic,various medical devices,such as X-rays and CT scan machines and processes,are constantly being used to collect and analyze medical *** collecting and processing an extensive volume of data in the form of images,machines and processes sometimes suffer from system failures,creating critical issues for hospitals and *** To address this,we introduce a digital-twin-based smart healthcare system in-tegrated with medical devices to collect information regarding the current health condition,configuration,and maintenance history of the device/machine/***,medical images,that is,X-rays,are analyzed by using a deep-learning model to detect the infection of *** designed system is based on the cascade recurrent convolution neural network(RCNN)*** this architecture,the detector stages are deeper and more sequentially selective against small and close false *** architecture is a multi-stage extension of the RCNN model and sequentially trained using the output of one stage for training the *** each stage,the bounding boxes are adjusted to locate a suitable value of the nearest false positives during the training of the different *** this manner,the arrangement of detectors is adjusted to increase the intersection over union,overcoming the problem of *** train the model by using X-ray images as the model was previously trained on another *** The developed system achieves good accuracy during the detection phase of *** experimental o

关键词： digital twins Deep learning Healthcare COVID-19 Chest X-rays Artificial intelligence

Regional Economic Development Trend Prediction Method Based on digital twins and Time Series Network

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Computers, Materials & Continua 2023年第8期76卷 1781-1796页

作者： Runguo Xu Xuehan Yu Xiaoxue Zhao School of International Relations Yonsei UniversitySeoul03722Korea

At present,the interpretation of regional economic development(RED)has changed from a simple evaluation of economic growth to a focus on economic growth and the optimization of economic structure,the improvement of economic relations,and the change of institutional *** article uses the RED trend as the research object and constructs the RED index to conduct the theoretical *** this paper uses the attention mechanism based on digital twins and the time series network model to verify the actual ***,the regional economy is predicted according to the theoretical *** specific research work mainly includes the following aspects:1)This paper introduced the development status of research on time series networks and economic forecasting at home and abroad.2)This paper introduces the basic principles and structures of long and short-term memory(LSTM)and convolutional neural network(CNN),constructs an improved CNN-LSTM model combined with the attention mechanism,and then constructs a regional economic prediction index system.3)The best parameters of the model are selected through experiments,and the trained model is used for simulation experiment *** results show that the CNN-LSTM model based on the attentionmechanism proposed in this paper has high accuracy in predicting regional economies.

关键词： Regional economic development attention mechanism digital twins time series network