This file was created with JabRef 2.1 beta 2. Encoding: GB2312 @inproceedings{2012The, title={The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles}, author={ Glaessgen, E. and Stargel, D. }, booktitle={Aiaa/asme/asce/ahs/asc Structures, Structural Dynamics ; Materials Conference Aiaa/asme/ahs Adaptive Structures Conference Aiaa}, year={2012}, abstract={Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation. Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements. To address the shortcomings of conventional approaches, a fundamental paradigm shift is needed. This paradigm shift, the Digital Twin, integrates ultra-high fidelity simulation with the vehicle's on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to mirror the life of its flying twin and enable unprecedented levels of safety and reliability.}, } @article{2011Reengineering, title={Reengineering Aircraft Structural Life Prediction Using a Digital Twin}, author={ Tuegel, E. J. and Ingraffea, A. R. and Eason, T. G. and Spottswood, S. M. }, journal={International Journal of Aerospace Engineering}, volume={2011}, number={1687-5966}, year={2011}, abstract={Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented. The technical challenges to developing and deploying a Digital Twin are discussed in detail.}, } @article{2017Digital, title={Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems}, author={ Grieves, M. and Vickers, J. }, journal={Springer International Publishing}, year={2017}, abstract={Systems do not simply pop into existence. They progress through lifecycle phases of creation, production, operations, and disposal. The issues leading to undesirable and unpredicted emergent behavior are set in place during the phases of creation and production and realized during the operational phase, with many of those problematic issues due to human interaction. We propose that the idea of the Digital Twin, which links the physical system with its virtual equivalent can mitigate these problematic issues. We describe the Digital Twin concept and its development, show how it applies across the product lifecycle in defining and understanding system behavior, and define tests to evaluate how we are progressing. We discuss how the Digital Twin relates to Systems Engineering and how it can address the human interactions that lead to "normal accidents." We address both Digital Twin obstacles and opportunities, such as system replication and front running. We finish with NASA's current work with the Digital Twin.}, } @article{2020Integration, title={Integration of Digital Twin and Deep Learning in Cyber-Physical Systems: Towards Smart Manufacturing}, author={ Lee, J. }, volume={38}, number={8}, pages={901-910}, year={2020}, abstract={No abstract available.}, } @article{2017The, title={The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0}, author={ Uhlemann, H. J. and Lehmann, C. and Steinhilper, R. }, journal={Procedia CIRP}, volume={61}, pages={335-340}, year={2017}, abstract={Concerning current approaches to planning of manufacturing processes, the acquisition of a sufficient data basis of the relevant process information and subsequent development of feasible layout options requires 74% of the overall time-consumption. However, the application of fully automated techniques within planning processes is not yet common practice. Deficits are to be observed in the course of the use of a fully automated data acquisition of the underlying process data, a key element of Industry 4.0, as well as the evaluation and quantification and analysis of the gathered data. As the majority of the planning operations are conducted manually, the lack of any theoretical evaluation renders a benchmarking of the results difficult. Current planning processes analyze the manually achieved results with the aid of simulation. Evaluation and quantification of the planning procedure are limited by complexity that defies manual controllability. Research is therefore required with regard to automated data acquisition and selection, as the near real-time evaluation and analysis of a highly complex production systems relies on a real-time generated database. The paper presents practically feasible approaches to a multi-modal data acquisition approach, its requirements and limitations. The further concept of the Digital Twin for a production process enables a coupling of the production system with its digital equivalent as a base for an optimization with a minimized delay between the time of data acquisition and the creation of the Digital Twin. Therefore a digital data acquisition approach is necessary. As a consequence a cyber-physical production system can be generated, that opens up powerful applications. To ensure a maximum concordance of the cyber-physical process with its real-life model a multimodal data acquisition and evaluation has to be conducted. The paper therefore presents a concept for the composition of a database and proposes guidelines for the implementation of the Digital Twin in production systems in small and medium-sized enterprises.}, } @article{2017C2PS, title={C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems}, author={ Alam, K. M. and Saddik, A El }, journal={IEEE Access}, volume={5}, pages={2050-2062}, year={2017}, abstract={Cyber-physical system (CPS) is a new trend in the Internet-of-Things related research works, where physical systems act as the sensors to collect real-world information and communicate them to the computation modules (i.e. cyber layer), which further analyze and notify the findings to the corresponding physical systems through a feedback loop. Contemporary researchers recommend integrating cloud technologies in the CPS cyber layer to ensure the scalability of storage, computation, and cross domain communication capabilities. Though there exist a few descriptive models of the cloud-based CPS architecture, it is important to analytically describe the key CPS properties: computation, control, and communication. In this paper, we present a digital twin architecture reference model for the cloud-based CPS, C2PS, where we analytically describe the key properties of the C2PS. The model helps in identifying various degrees of basic and hybrid computation-interaction modes in this paradigm. We have designed C2PS smart interaction controller using a Bayesian belief network, so that the system dynamically considers current contexts. The composition of fuzzy rule base with the Bayes network further enables the system with reconfiguration capability. We also describe analytically, how C2PS subsystem communications can generate even more complex system-of-systems. Later, we present a telematics-based prototype driving assistance application for the vehicular domain of C2PS, VCPS, to demonstrate the efficacy of the architecture reference model.}, } @inproceedings{2005Digital, title={Digital Twin Spark Ignition for Improved Fuel Economy and Emissions on Four Stroke Engines}, author={ Ramtilak, A. and Joseph, A. and Sivakumar, G. and Bhat, S. S. }, booktitle={SIAT 2005}, year={2005}, abstract={The Digital Twin Spark Ignition (DTS-i) is a concept developed specifically for small bore four stroke engines with two valves. Two spark plugs placed diametrically opposite to each other in the combustion chamber fire simultaneously igniting the charge. The benefit of this concept is improved fuel economy, better drivability, and reduced engine on a emissions. The concept has been successfully launched on two products namely 150 DTS-i and 180 DTS-i engine. The DTS-i concept helps the products meet the India 2005-emission standard without the use of secondary air injection and exhaust after treatment.}, } @article{2014On, title={On the Effects of Modeling As-Manufactured Geometry: Toward Digital Twin}, author={ Cerrone, A and Hochhalter, J and Heber, G and Ingraffea, A }, journal={International Journal of Aerospace Engineering}, volume={2014}, year={2014}, abstract={A simple, nonstandardized material test specimen, which fails along one of two different likely crack paths, is considered herein. The result of deviations in geometry on the order of tenths of a millimeter, this ambiguity in crack path motivates the consideration of as-manufactured component geometry in the design, assessment, and certification of structural systems. Herein, finite element models of as-manufactured specimens are generated and subsequently analyzed to resolve the crack-path ambiguity. The consequence and benefit of such a ???personalized??? methodology is the prediction of a crack path for each specimen based on its as-manufactured geometry, rather than a distribution of possible specimen geometries or nominal geometry. The consideration of as-manufactured characteristics is central to the Digital Twin concept. Therefore, this work is also intended to motivate its development.}, } @article{2018Digital, title={Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison}, author={ Qi, Q. and Tao, F. }, journal={IEEE Access}, pages={3585-3593}, year={2018}, abstract={With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.}, } @article{Anwer2017Shaping, title={Shaping the digital twin for design and production engineering}, author={Anwer and Nabil and Schleich and Benjamin and Mathieu and Luc and Wartzack and Sandro}, journal={CIRP Annals}, year={2017}, abstract={The digitalization of manufacturing fuels the appl}, } @article{陶飞2017Digital, title={Digital twin workshop:a new paradigm for future workshop}, author={陶飞 and 张萌 and 程江峰 and 戚庆林}, journal={Computer Integrated Manufacturing Systems}, volume={23}, number={第1期}, year={2017}, abstract={With the integration and extensive applications for new generation of information technologies(such as cloud computing,internet of things,big data,mobile internet,artificial intelligence)in manufacturing industry,a number of countries had put forward their national advanced manufacturing development strategies,such as Industry4.0in Germany,Industrial Internet and manufacturing system based on Cyber-Physical Systems(CPS)in USA,as well as Made in China 2025 and Internet Plus Manufacturing in China.Although each of these strategies was proposed under different circumstances,one of the common purposes of these strategies was to achieve the interconnection,interoperability between physical world and the information world of manufacturing and the intelligent operation of manufacturing.As one of bottlenecks to achieve this purpose,the communication and interaction between the physical world and the information world of manufacturing must be solved.To solve the problem,a novel concept of Digital Twin Workshop(DTW)based on digital twin was proposed.Complementary to the concept,the characteristics,architecture,system composition,operating mechanism and enabling key technologies were also elaborated and discussed respectively.On this basis,the theory and implementation of the communication and interaction between physical and information world of workshop based on workshop digital twin data were discussed.}, } @inproceedings{2017Generating, title={Generating Digital Twin Models using Knowledge Graphs for Industrial Production Lines}, author={ Banerjee, A. and Dalal, R. and Mittal, S. and Joshi, K. P. }, booktitle={9th ACM Web Science Conference, Industrial Knowledge Graphs}, year={2017}, abstract={Digital Twin models are computerized clones of physical assets that can be used for in-depth analysis. Industrial production lines tend to have multiple sensors to generate near real-time status information for production. Industrial Internet of Things datasets are difficult to analyze and infer valuable insights such as points of failure, estimated overhead. etc. In this paper we introduce a simple way of formalizing knowledge as digital twin models coming from sensors in industrial production lines. We present a way on to extract and infer knowledge from large scale production line data, and enhance manufacturing process management with reasoning capabilities, by introducing a semantic query mechanism. Our system primarily utilizes a graph-based query language equivalent to conjunctive queries and has been enriched with inference rules.}, } @article{Wagner2017The, title={The role of the Industry 4.0 Asset Administration Shell and the Digital Twin during the life cycle of a plant}, author={Wagner and C and Grothoff and J and Epple and U and Drath and R and Malakuti and S}, journal={IEEE Int C Emerg}, year={2017}, abstract={Industry 4.0 has come up with an impressive number of additional terms and definitions e.g. Asset Administration Shell or Digital Twin. Those terms stand for Industry 4.0 core paradigms, but their meaning is not harmonized even among experts. This is a source of misunderstanding and confusion. In this paper, the mentioned terms are discussed along the life cycle of a plant. A plant's life cycle comprises the whole process from its idea to its destruction. During the discussion of the terms not only the concepts, but also the visions of Industry 4.0 are clarified. Goal of this paper is not to define additional terms, but to explain and substantiate existing ones and to solve apparent contradictions. Additional outcome of the discussion are architectural recommendations for an upcoming Industry 4.0 architecture. Moreover, suggestions for device manufacturers, system integrators, plant owners and Industry 4.0 architects are given.}, } @article{韩辉2019Digital, title={Digital Twin Service towards Smart Manufacturing}, author={韩辉}, journal={疾病监测}, year={2019}, abstract={参考译名:面向智能制造的"数字双胞胎"(Digital Twin)服务Digital twin provides an effective way for the cyber-physical integration of manufacturing. Meanwhile, smart manufacturing services could optimize the entire business processes and operation procedure of manufacturing, to achieve a new higher level of productivity. The combination of smart manufacturing services and digital twin would radically change product design, manufacturing, usage, MRO and other processes. Combined with the services, the digital twin will generate more reasonable manufacturing planning and precise production control to help achieve smart manufacturing, through the two-way connectivity between the virtual and physical worlds of manufacturing. This paper specifies and highlights how manufacturing services and digital twin are converged together and the various components of digital twin are used by manufacturers in the form of services.来源:【刊名】:Procedia CIRP【ISSN】:2212-8271【出版信息】:2018 Vol.72}, } @article{2022Validation, title={Validation of materials-informed digital twin: Mapping residual strains in HSLA steel weldment using high energy X-rays}, author={ Fisher, Charles R. and Nygren, Kelly E. and Beaudoin, Armand J. }, journal={Journal of manufacturing processes}, number={74-Feb.}, year={2022}, } @article{2021SARS, title={SARS-CoV-2 Spread Forecast Dynamic Model Validation Thorough Digital Twin Approach, Catalonia Case Study}, author={ Pau, Fic and Joan, Gis and GIC V铆Ctor and XP I Palom茅S}, year={2021}, } @article{2021Research, title={Research on Digital Twin Framework of Military Large-scale UAV Based on Cloud Computing}, author={ Wang, Y. C. and Zhang, N. and Li, H. and Cao, J. }, journal={Journal of Physics: Conference Series}, volume={1738}, number={1}, pages={012052 (6pp)}, year={2021}, abstract={Firstly, this article explains the characteristics and advantages of military large-scale UAVs, and points out the three basic problems currently encountered by military large-scale UAVs; secondly, this article is based on the current design, manufacturing and application reality of large-scale military UAVs, analyzed the urgent need to build a cloud computing-based digital twin framework for military large-scale UAVs, and discussed in detail from the aspects of test cost, integrated perception, centralized control, business prediction, and mission planning; again, this article proposed cloud-based computing The digital twin framework for military large-scale UAVs discusses the composition and functions of each layer; finally, it points out the five directions and work priorities that need to be paid attention to in the construction of the digital twin system of military large-scale UAVs, including UAV model, flight status measurement, reliable propagation channel, intelligent command and control, and capability evaluation analysis.}, } @article{2021Intelligent, title={Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin - ScienceDirect}, author={ Zhou, H. and Yang, C. and Sun, Y. }, journal={工程(英文)}, year={2021}, abstract={The shortage of computation methods and storage devices has largely limited the development of multiobjective optimization in industrial processes.To improve the operational levels of the process industries,we propose a multi-objective optimization framework based on cloud services and a cloud distribution system.Real-time data from manufacturing procedures are first temporarily stored in a local database,and then transferred to the relational database in the cloud.Next,a distribution system with elastic compute power is set up for the optimization framework.Finally,a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process.With the application of this optimization service in a cloud factory,iron production was found to increase by 83.91 td^(-1),the coke ratio decreased 13.50 kgt^(-1),and the silicon content decreased by an average of 0.047%.}, } @misc{2021PRECISION, title={PRECISION TREATMENT WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY FOR OPTIMAL METABOLIC OUTCOMES}, author={ Hadley, F. and Dunlap, T. A. and Poon, Tcy }, year={2021}, abstract={A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve the determined metabolic state to the functional metabolic state.}, } @article{1989Scheduling, title={Scheduling Sporadic and Aperiodic Events in a Hard Real-Time System}, author={ Sprunt, B. and Sha, L. and Lehoczky, J. }, year={1989}, abstract={A real-time system consists of both aperiodic and periodic tasks. Periodic tasks have regular arrival times and hard deadlines. Aperiodic tasks have irregular arrival times and either soft or hard deadlines. This paper, we presents a new algorithm, the Sporadic Server algorithm, that greatly improves response times for soft-deadline aperiodic tasks and can guarantee hard deadlines for both periodic and aperiodic tasks. The operation of the Sporadic Server algorithm, its performance, and schedulability analysis are discussed and compared with previous, published aperiodic service algorithms. Real-time systems are used to control physical processes that range in complexity from automobile ignition systems to controllers for flight systems and nuclear power plants. In these systems, the correctness of system functions depends upon not only the results of computation but also the times at which results are produced.}, } @article{1989Decentralized, title={Decentralized Decision-Making for Task Reallocation in a Hard Real-Time System}, author={ Stankovic, J. A. }, journal={IEEE Computer Society}, year={1989}, abstract={Summary: A decentralized task reallocation algorithm for hard real-time systems is developed and analyzed. The algorithm, which is fast and reliable, specifically considers deadlines of tasks, attempts to utilize all the nodes of a distributed system to achieve its objective, handles tasks in priority order, and separates policy and mechanism. An extensive performance analysis of the algorithm by means of simulation shows that it is quite effective in performing reallocations and that it is significantly better than a centralized approach.}, } @article{娄佩丽2007一种基于, title={一种基于P2PMMOG的分布式消息分发算法}, author={娄佩丽 and 杜玲}, journal={沈阳航空工业学院学报}, volume={24}, number={005}, pages={43-45}, year={2007}, abstract={提出了一种适合于P2P MMOG的分布式消息分发算法.游戏世界通过N-Tree划分为若干个子区域,并从每个子区域中选举出一个协调者节点.对于区域内玩家交互过程中产生的事件,由该玩家通过多播机制发送给其兴趣域中的其他玩家和区域协调者,协调者仅负责保存区域内的对象的状态信息并周期性的进行更新.实验表明该算法能够满足游戏状态的一致性需求,并且能够在较大的程度上降低协调者负载和通信开销,节省了大量的计算资源和宝贵的带宽.}, } @phdthesis{卢本捷2003分布式消息队列的理论、实现与应用, title={分布式消息队列的理论、实现与应用}, author={卢本捷}, school={华中科技大学}, year={2003}, abstract={消息队列是由System V引入的进程间通讯(IPC)的一种机制,在1993年由IEEE在标准IEEE Std 1003.1中进行了标准化而成为POSIX标准的一部分.POSIX消息队列在单机范围内已成为通用的通讯标准.本文对POSIX消息队列进行了有效的扩展,使其分布在网络上作为一种基础中间件平台为分布式计算提供服务.本文做了一些卓有成效的工作以对现行的POSIX消息队列进行了实质性的改进: 成功地把消息队列从单机拓展到网络(局域网甚至是广域网),深入分析了分布式环境下消息队列的宏观架构和微观特征,进而提出了分布式消息队列的概念,并且设计了一套完整可行的实现方案. 提出了用描述字的方式引用分布式消息队列的方法并成功地实现.从而突破了在POSIX和SystemV体系下,消息队列作为一个独立的特别的实体而存在所造成的局限性.这意味着分布式消息队列与其他的标准的I/O通道完全一致,给客户进程的编程模型带来极大的方便. 成功实现了对分布式消息队列异步的操作方式,消除了POSIX消息队列只能够进行同步访问的缺陷.异步的I/O方式给了应用程序更大的灵活性和更好的响应特性. 提出了以XML和XSD的方式来包装和描述消息的方法,队列内部提供对XML进行解析和串行化的功能.这种方法进一步地扩展了分布式消息队列与其他中间件的兼容性和互操作性. 在分布式消息队列的基础上首次提出了"软件总线"的概念.本文深入探讨了在分布式消息队列的平台基础上传递SOAP消息,从而实现松散耦合的远程调用,以构造一种简单灵活,易于扩充,跨平台的,松散耦合的总线结构的分布式软件平台.这个平台类似于硬件总线在机器内部各部件之间的通讯作用,我们称之为"软件总线".比较DCOM或CORBA等传统的组件技术,软件总线具有更合理的通讯模式,更好的兼容性和互操作性.在软件总线支持下,客户和服务器并不是紧密耦合的点到点的通讯,当客户向总线请求服务时,由总线定位服务器,并且在服务器之间提供负荷平衡功能.软件总线在网络环境下作为一个虚拟的通讯通道为总线上的各节点提供松散耦合的远程调用服务,它为分布式计算提供了一个新的思路和解决方案,在软件工程领域具有广阔的应用前景. 另外,本文所实现的分布式消息队列提供多种响应和通告机制,以及数据加密, WP=4 日志等附加可选的服务功能.分布式消息队列服务与现有的目录管理服务兼容,队列实例纳入目录管理之中,为客户提供快速的全局查询能力. 本文从软件工程理论和实际应用案例两个方面深入探讨了分布式消息队列的应用: 提出了在分布式消息队列的基础上构建具有动态路由功能的松散耦合的工作流管理系统的实现方式.在分布式消息队列的支持下,工作流管理系统具有更高的可靠性和稳定性,更易于实现路由配置和松散耦合的集成.这种构建方案对其他的电子商务应用也十分具有推广和应用价值. 在三峡梯级调度中心对《三峡数字梯级调度决策支持系统》与《三峡梯级水电联合调度》以及其他的相关系统使用分布式消息队列进行系统集成.在分布式消息队列的支持下,分布式计算方便地跨越了不同的操作系统与编程环境,降低了应用系统群的耦合度和依赖性,减少了重复开发,增强了模块的重用,各子系统与模块能够顺利地链接,协作,相互关系清晰,调用方式灵活,数据传递路由动态配置,系统扩充性好,极大地提高系统群的兼容性和互操作性,为以后的维护,升级改造,系统扩展留下足够的空间. 本文所提出的分布式消息队列体系在软件理论上有所突破和创新,在实际工程中得到成功的应用,具有广阔的发展潜力和推广价值.}, }