• Title/Summary/Keyword: Digital Twin

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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.

A Data Factorization Study for the Application of Digital Twin Technology to Container Ports (컨테이너 항만의 디지털 트윈 기술 적용을 위한 데이터 요인화 연구)

  • Nam, Jung-Woo;Kim, Yul-Seong;Shin, Young-Ran
    • Journal of Navigation and Port Research
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    • v.46 no.1
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    • pp.42-56
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    • 2022
  • Due to the 4th Industrial Revolution announced at the Davos Forum, the World Economic Forum, in 2016, industrial trends around the world are changing rapidly and intelligently. Among them, the digital twin is drawing attention from all industries as a groundbreaking technology that reduces unnecessary costs and trial and error by implementing real objects, systems, and environments in the same way in the real virtual world and using them to perform simulation analysis. In particular, there is a lot of interest in the application of digital twin technology in solving ports safety and efficiency challenges at once. However, there is a lack of in-depth research for the application of digital twin technology in the port, and in particular, there is a lack of research on measurable data for the implementation of the digital twin in ports. The purpose of this study was to increase granularity and connectivity through measurable data investigation for the application of digital twin technology at container ports. Based on the study results, data factors for container port application were classified into crane data, operational data, physical data, and transportation data, and factor composition, correlation with factors, and fitness were confirmed through confirmatory factor analysis.

An Industry-Service Classification Development of Metaverse Platform (메타버스 플랫폼 활용 산업-서비스 분류체계 개발)

  • Yun, Seung-Mo;Leem, Choon-Seong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.253-258
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    • 2021
  • With the 4th Industrial Revolution and the development of technology, markets of the VR&AR have increased. Also due to COVID-19 pandemic, demands for a digital environment were required because of physical space constraints. Firms are trying to solve this problem by using Metaverse platforms. However, with markets such as Metaverse, VR, AR, and Digital Twins are expanding, prior research on Metaverse definition or classification system is insufficient. Based on understanding VR&AR, Digital Twin, this study established a Industry-Service classification for Metaverse by defining Case studies on Metaverse and through prior research. And by Industry-Service classification for Metaverse this paper propose Metaverse Industry-Service Matrix to analyze the trend and possibility of Metaverse Platform

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A Study on the Implement of AI-based Integrated Smart Fire Safety (ISFS) System in Public Facility

  • Myung Sik Lee;Pill Sun Seo
    • International Journal of High-Rise Buildings
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    • v.12 no.3
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    • pp.225-234
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    • 2023
  • Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

Research Status and Trend of Digital Twin: Visual Knowledge Mapping Analysis

  • Chen, Qiuying;Lee, Sang-Joon
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.84-97
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    • 2021
  • Digital twins are one of the promising digital technologies used to facilitate digital transformation. Therefore, it needs to continually be developed remain relevant in industry and academia. Consolidation of research is required to create a common understanding of the topic and to ensure that future research is built upon a solid foundation. Based on a bibliometric review and a thematic analysis of 217 publications on digital twins from the past two decades, this paper creates and analyzes a visual knowledge map and proposes areas for further research. To comprehensively analyze the development trends and research trends of digital twins, we performed statistical analysis of the relevant literature on digital twins within the core collection database of Web of Science. Through our research, we have shown that the current situation, trends, and hotspots of digital twin research were analyzed via CiteSpace. This study demonstrates that research on digital twins is rapidly growing in popularity, that the output of the research depends largely on the core group of authors conducting it, and that digital twins warrant cross-domain and cross-disciplinary research pathways.

The application of machine learning for the prognostics and health management of control element drive system

  • Oluwasegun, Adebena;Jung, Jae-Cheon
    • Nuclear Engineering and Technology
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    • v.52 no.10
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    • pp.2262-2273
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    • 2020
  • Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.

Development of Smart Factory-Based Technology Education Platform Linking CPPS and VR (CPPS 및 VR을 연계한 스마트팩토리 기반 기술 교육 플랫폼 개발)

  • Lee, Hyun
    • Journal of Practical Engineering Education
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    • v.13 no.3
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    • pp.483-490
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    • 2021
  • In this paper, we proposed the development of a smart factory intergrated technology education platform using smart factory based CPPS (Cyber Physical Production System) and VR (Vitrual Reality) technology and educational methods using the platform. A platform has been developed to learn how to integrate 3D digital twin and BOP (Bill of Process)-based manufacturing processes. In addition, Digital Twin established a smart factory-based integrated education platform by linking mechanical systems, digital twins, and virtual reality through the OPC-UA server. Based on this platform, the smart factory integration platform is proposed to have individual elements of the smart factory integration platform through BOP-based digital twin simulation, OPC-UA integration, MES system, SCADA system, and VR interworking.

Integrating Blockchain and Digital Twin for Smart Warehouse Supply Chain Management (스마트 웨어하우스 공급망 관리를 위한 블록체인과 Digital Twin의 통합)

  • Keo Ratanak;Muhammad Firdaus;Kyung-hyune Rhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.273-276
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    • 2023
  • This paper presents the integration of Digital twin and Blockchain-based Supply Chain Management (DB-SCM) in a smart warehouse to create a more efficient, secure, and transparent facility. The process involves creating a digital twin of the warehouse using sensors and IoT devices and then integrating it with a blockchain-based supply chain management system to connect all stakeholders. All data are collected and tracked in real-time as goods move through the warehouse, and smart contracts are automatically executed to ensure accountability for all parties involved. The study also highlights the critical role of effective supply chain management in modern business operations and the significance of smart warehouses, which leverage advanced technologies such as robotics, AI, and data analytics to optimize warehouse operations. Later, we discuss the importance of digital twins, which allow for creating a virtual representation of a physical object or system, and their potential to revolutionize a wide range of industries. Therefore, DB-SCM offers numerous benefits, including enhanced efficiency, improved customer satisfaction, and increased sustainability, and provides a valuable case study for organizations seeking to optimize their supply chain operations.

Digital Twin technology for Urban Policy Making (A Case Study of Policy Digital Twin of Sejong City) (디지털트윈 기술의 도시 정책 활용 사례 (세종시 도시행정 디지털트윈 프로젝트를 중심으로))

  • Jung, Y.J.;Cho, I.Y.;Lee, J.W.;Kim, B.H.;Lee, S.H.;Lim, C.G.;Lee, C.H.;Paik, E.H.;Jin, K.S.;Kim, Y.C.;Lee, S.M.;Choi, M.S.;KIM, T.H.;Chang, M.J.;Kim, S.O.;Kim, H.K.;Jung, S.J.;Lee, S.Y.;Ann, J.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.2
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    • pp.43-55
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    • 2021
  • National and social issues are becoming increasingly common, but traditional policy-making methods are no longer effective. Therefore, evidence-based policy making is emerging as an alternative paradigm. Digital twin technology is one of the digital support tools for the new data-driven policy-making process. This study presents ongoing government experiments in the world where digital twin technology is applied to policy making and describes our experience in developing digital twin platforms in Sejong-the de facto administrative capital of South Korea.

Establishing the Framework of Industry Metaverse based on Digital Twin through Case Studies (디지털트윈 기반의 인더스트리 메타버스 : 사례분석을 통한 프레임워크의 정립)

  • Yang, Kyung Ran;Yoon, Sung Chul;Park, Soo Kyung;Lee, Bong Gyou
    • Journal of Korea Multimedia Society
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    • v.25 no.8
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    • pp.1122-1135
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    • 2022
  • With the development of digital technology and the influence of the global pandemic, the metaverse, a three-dimensional virtual world, is receiving attention in society, economy and overall industry, and the manufacturing industry is also accepting it as a major strategic agenda for digital transformation. Therefore, in this study, the concept of the industry metaverse from the perspective of the manufacturing industry was defined, and the types of the industry metaverse were classified into four types by reflecting the characteristics of the manufacturing industry based on the general metaverse scenario presented in previous studies. These are Virtual behavior simulation, Augmented operation of business objects and Virtual experience simulation, Augmented decision of business subjects. In addition, through case analysis of solutions used in the manufacturing industry, it was confirmed that the central technology of the Industry Metaverse is the digital twin, and that it is being implemented by convergence with major digital technologies such as virtual reality, augmented reality, digital human, and AI. This study will be able to provide guidelines for future research on the metaverse from the perspective of the manufacturing industry and establishment of a digital transformation strategy for the industry.