• Title, Summary, Keyword: Digital Twin

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The Design of Manufacturing Simulation Modeling Based on Digital Twin Concept (Digital Twin 개념을 적용한 제조환경 시뮬레이션 모형 설계)

  • Hwang, Sung-Bum;Jeong, Suk-Jae;Yoon, Sung-Wook
    • Journal of the Korea Society for Simulation
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    • v.29 no.2
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    • pp.11-20
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    • 2020
  • As the manufacturing environment becomes more complex, traditional simulation models alone are having a lot of difficulties in reflecting real-time manufacturing situations. Although the Digital Twin concept is actively discussed as an alternative to overcome theses issues, many studies are being carried out only in the product design phase. This research presents a Digital Twin-based manufacturing environment framework for applying the Digital Twin concept to the manufacturing process. Twin model that is operated in virtual space, physical system and databases describing the actual manufacturing environment, are proposed as detailed components that make up the framework. To check the applicability of proposed framework, a simple Digital Twin-based manufacturing system was simulated in a conveyor system using Arena software and Excel VBA. Experiment results have shown that the twin model is transmitted real time data from the physical system via DB and were operating in the same time unit. The Excel VBA fitted parameters defined by cycle time based on historical data that real-time and training data are being accumulated together. This study proposes operating method of digital twin model through the simple experiment examples. The results lead to the applicability of Digital twin model.

Author Co-citation Analysis for Digital Twin Studies (디지털 트윈 연구의 저자 동시인용 분석)

  • Kim, Sumin;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.39-58
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    • 2019
  • Purpose A digital twin is a digital replication of a physical system. Gartner identified the digital twin as one of the Gartner Top 10 Strategic Technology Trend for three years from 2017. The rapid development of the digital twin market is expected to bring about innovation and change throughout society, and much research has been done recently in academia. In this research, we tried to explore the main research trends for digital twin research. Design/methodology/approach We collected the digital twin research from Web of Science, and analyzed 804 articles that was published during time span of 2010-2018. A total of 41 key authors were selected based on the frequency of citation. We created a co-citation matrix for the core authors, and performed multivariate analysis such as cluster analysis and multidimensional scaling. We also conducted social network analysis to find the influential researchers in digital twin research. Findings We identified four major sub- areas of digital twin research: "Infrastructure", "Prospects and Challenges", "Security", and "Smart Manufacturing". We also identified the most influential researchers in digital twin research: Lee EA, Rajkumar R, Wan J, Karnouskos S, Kim K, and Cardenas AA. Limitation and further research suggestion were also discussed as a concluding remarks.

A Study on the Factors Affecting Usage Intention of Digital Twin Technology in Product Design (제품 설계 시 디지털 트윈 기술 사용의도에 영향을 미치는 요인에 대한 연구)

  • Cho, Yong Won;Im, Eun Tack;Gim, Gwang Yong
    • Journal of Information Technology Services
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    • v.18 no.3
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    • pp.75-93
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    • 2019
  • Digital twin technology is one of the key technologies to strengthen the competitiveness of manufacturing industry from the viewpoint of digital transformation in the era of $4^{th}$ industrial revolution. In this research, the important role in using digital twin technology in product design, This paper summarizes and empirically verifies the technical characteristics of digital twins, a key concept in the digital transition of the manufacturing industry. In this study, the technology characteristics of digital twin which is key concept in the digital transformation of manufacturing industry are summarized and empirically validated which factors militate a critical role in the use of digital twin technology in product design which is key area of product development. As a result of analysis, datafication, intellectualization which are characteristics of digital twin technology and task characteristics of product design influence Task Technology Fit (TTF) and Task Technology Fit (TTF) influences Technology (UTAUT) And finally, performance expectancy, effort expectancy, social influence and facilitating conditions affect usage intention.

Digital Twin Model of a Beam Structure Using Strain Measurement Data (보 구조물에서 변형률 계측 데이터를 활용한 디지털트윈 모델 구현)

  • Han, Man-Seok;Shin, Soo-Bong;Moon, Tae-Uk;Kim, Da-Un;Lee, Jong-Han
    • Journal of KIBIM
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    • v.9 no.3
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    • pp.1-7
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    • 2019
  • Digital twin technology has been actively developed to monitor and assess the current state of actual structures. The digital twin changes the traditional observation method performed in the field to the real-time observation and detection system using virtual online model. Thus, this study designed a digital twin model for a beam and examined the feasibility of the digital twin for bridges. To reflect the current state of the bridge, model updating was performed according to the field test data to construct an analysis model. Based on the constructed bridge analysis model, the relationship between strain and displacement was used to represent a virtual model that behaves in the same way as the actual structure. The strain and displacement relationship was expressed as a matrix derived using an approximate analytical theory. Then, displacements can be obtained using the measured data obtained from strain sensors installed on the bridge. The coordinates of the obtained displacements are used to construct a virtual digital model for the bridge. For verification, a beam was fabricated and tested to evaluate the digital twin model constructed in this study. The displacements obtained from the strain and displacement relationship agrees well with the actual displacements of the beam. In addition, the displacements obtained from the virtual model was visualized at the locations of the strain sensor.

Numerical Model Updating for Bridge Maintenance Using Digital-Twin Model (교량 유지관리용 디지털 트윈 모델 구축을 위한 수치해석모델 개선 기법)

  • Yoon, Sang-Gwi;Shin, Soobong;Shin, Do Hyoung
    • Journal of KIBIM
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    • v.8 no.4
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    • pp.34-40
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    • 2018
  • As the number of aged bridges increases, the development of efficient bridge maintenance techniques is becoming more important. Particularly, there have been many studies on digital-twin models of bridges for maintenance and SHM (Structure Health Monitering). However, in order to use the digital-twin model for maintenance of the bridge, the model updating process that matches the structural response between the real bridge and the digital-twin bridge model must be done. This study presents a model updating method that adjusts bridge's stiffness and boundary condition with genetic algorithm (GA) using static displacements and verified proposed updating method through field test on PSC girder bridge. This study also proposes a conceptual idea to construct an efficient bridge maintenance system by applying the updated numerical analysis model to the digital-twin model.

Review on the Application of Industry 4.0 Digital Twin Technology to the Quality Management (4차 산업혁명 디지털 트윈 기술의 품질경영 적용 연구)

  • Quan, Ying;Park, Sangchan
    • Journal of the Korean Society for Quality Management
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    • v.45 no.4
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    • pp.601-610
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    • 2017
  • Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.

A Design on The Zone Master Platform based on IIoT communication for Smart Factory Digital Twin (스마트 팩토리 디지털 트윈(Digital Twin)을 위한 IIoT 통신 기반 ZMP(Zone Master Platform) 설계)

  • Park, Seon-Hui;Bae, Jong-Hwan
    • Journal of The Korea Internet of Things Society
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    • v.6 no.4
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    • pp.81-87
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    • 2020
  • This paper creates a standard node for acquiring sensor data from various industrial sensors (IoT/non-IoT) for the establishment of Smart Factory Digital Twin, and provides inter-compatible data by linking zones by group/process to secure data stability and to ensure the digital twin (Digital Twin) of Smart Factory. The process of the Zone Master platform contains interface specifications to define sensor objects and how sensor interactions between independent systems are performed and carries out individual policies for unique data exchange rules. The interface for execution control of the Zone Master Platform processor provides system management, declaration management for public-subscribe, object management for registering and communicating status information of sensor objects, ownership management for property ownership sharing, time management for data synchronization, and data distribution management for Route information on data exchange.

Definition of Digital Twin Models for Prediction of Future Performance of Bridges (교량의 장기성능 예측을 위한 디지털 트윈모델 정의)

  • Shim, Chang-Su;Jeon, Chi Ho;Kang, Hwi Rang;Dang, Ngoc Son;Lon, Sokanya
    • Journal of KIBIM
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    • v.8 no.4
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    • pp.13-22
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    • 2018
  • Future performance prediction of bridges is challenging task for structural engineers. Well-organized information from design, construction and operation stages is essential for the assessment of structures. Digital twin model is a new concept to realize more reliable data platform for management of infrastructures. Damage history including degradation of material, cracking, corrosion, etc. needs to be accumulated in the digital model. The digital model is linked to the analysis model for the assessment of structural performance considering changed mechanical properties of structural components. In this paper, initial definition digital twin model of a PSC-I girder bridge is proposed.

A Study on the Application of Digital Twin Technology for Container Terminals (컨테이너 터미널의 디지털 트윈 기술 적용에 관한 연구)

  • Choi, Hoon-Do;Yu, Jang-Ho
    • Journal of Navigation and Port Research
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    • v.44 no.6
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    • pp.557-563
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    • 2020
  • Digital Twin Technology is currently being utilized in many industries and logistics seems soon to follow that trend. Currently, technology introduction to container terminals is restrictedly developing. In reviewing the existing literature, it became clear that research on the application of Digital Twin technology for container terminals is deficient. This study fulfilled AHP and IPA analysis causing fields to adjust priority at the container terminal. The result of analysis on the urgent necessity of adjustable fields' detailed elements from Digital Twin Technology, ATC, intelligent CCTV, and container yards, and showed that they were of the highest priority level. Also, VR/AR Equipment, AYT, Smart Container, Automated Container Delivery Facility, Refrigerated/Freezer Container, Wearable Device for Port Maintenance, and Smart Buoy were reviewed in detail. Our group suggests AQC, Berth, AGV, ASC, Apron, and Automated Mooring as potentially useful Digital Twin Technologies. Finally, our research suggests the OSS equipment, intermodal linkage facility, intelligent drone, and hazardous material storage are areas of low priority.

A Case Study on the Construction of 3D Geo-spatial Information for Digital Twin Implementation (디지털 트윈 구현을 위한 3차원 공간정보 구축사례 연구)

  • KIM, Seung-Yub;LEE, Ho-Hyun;CHOI, Eun-Soo;GO, Je-Ung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.146-160
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    • 2020
  • In the 4th industrial revolution, research on solving urban problems using ICT technology is emerging. Representatively, research is being conducted mainly focusing on smart cities. 3D geo-spatial. Various case studies on smart cities are being conducted to solve urban problems, and in order to effectively implement smart cities, it is implemented on the basis of a digital twin interconnecting physical and virtual environments. To implement a digital twin, the concept of space is essential, and spatial information that composes the real world is also essential. Therefore, in order to implement the digital twin, this study conducted a study on the construction and modeling of 3D geo-spatial information based on the national spatial information establishment regulations and the international standard CityGML for buildings, water facilities, and transportation facilities in Jeonju. In Jeonju, the research area, the LOD was defined, and the possibility of digital twin based on geo-spatial information was determined through data collection, analysis, and construction for each detail. In this study, it is meaningful that a plan to construct geo-spatial information for the implementation of a digital twin is presented, and the result of the construction is modeled as an urban standard model. The results of study are expected to be used as reference for detailed construction plans and standard establishment by governments and local governments promoting smart city and digital twin construction in the future.