스마트 제조를 위한 클라우드 플랫폼 기반 사용자 친화적인 디지털 트윈 구축 방법

국문 초록 (Abstract)

스마트 제조 시대의 도래로 선진국과 글로벌 제조 기업들을 중심으로 스마트 공장을 활발히 구축하고 있다. 디지털 트윈은 진보된 형태의 스마트 공장 구축을 가능하게 하는 미래 핵심 기술이다. 디지털 트윈 기반 스마트 공장은 (1) 실제 공장과 동일한 디지털 공장을 모델링하고, (2) 물리적 공장과 디지털 공장을 연결하며, (3) 시뮬레이션, 인공지능과 같은 분석 기술들로 예측하고, (4) VR/AR을 통해 직접 체험하며 빠른 의사결정을 통해 물리적 공장을 제어하는 절차로 구축된다. 디지털 트윈은 전문가 의존도가 매우 높은 기술이며, 구축에 많은 시간과 비용이 소요된다. 본 논문에서는 전문가뿐만 아니라 초보자들도 쉽고 빠르게 디지털 트윈을 구축이 가능한 클라우드 기반 디지털 트윈 플랫폼을 소개한다. 다양한 제조기업들의 구축 사례들에 대해 설명하고, 그 효과를 분석했다.

다국어 초록 (Multilingual Abstract)

With the advent of the smart manufacturing era, advanced countries and global manufacturing enterprises are actively building smart factories. Digital twin (DT) is the future key technology that enables the building of advanced smart factories. DT-based smart factories are built by following procedures that consist of (1) modeling a digital factory that is identical to the physical factory, (2) connecting the physical factory and digital factory, (3) predicting using analysis techniques, such as simulation and artificial intelligence, and (4) controlling the physical factory through quick decision-making based on direct experience using virtual or augmented reality. DT is a technique in which experts are heavily relied upon, and it takes much time and costs to develop DT. In this paper, we introduce a cloud-based DT platform that enables novices and experts to build DT quickly and easily. Cases applicable to various manufacturing companies were described, and the effects were analyzed.

목차 (Table of Contents)

• 초록
• Abstract
• 1. 서론
• 2. 관련 연구
• 3. 클라우드 기반 디지털 트윈 플랫폼
• 4. 적용 사례
• 5. 적용 효과 및 토론
• 6. 결론
• 참고문헌(References)

참고문헌 (Reference)

1 Vachálek, J, "The Digital Twin of an Industrial Production Line within the Industry 4.0 Concept" 258-262, 2017

2 강형석, "Smart Manufacturing: Past Research, Present Findings, and Future Directions" 한국정밀공학회 3 (3): 111-128, 2016

3 Gyulai, D., "Simulation-based Production Planning and Execution Control for Reconfigurable Assembly Cells" 57 : 445-450, 2016

4 Schleich, B., "Shaping the Digital Twin for Design and Production Engineering" 66 (66): 141-144, 2017

5 Thoben, K. D., "Industrie 4.0 and Smart Manufacturing - A Review of Research Issues and Application Examples" 11 (11): 4-16, 2017

6 Bottani, E., "From the Cyber-Physical System to the Digital Twin: The Process Development for Behaviour Modelling of a Cyber Guided Vehicle in M2M Logic" 1-7, 2017

7 El Saddik, A., "Digital Twins : The Convergence of Multimedia Technologies" 25 (25): 87-92, 2018

8 Lu, Y., "Digital Twin-driven Smart Manufacturing: Connotation, Reference Model, Applications and Research Issues" 61 : 101837-, 2020

9 Tao, F., "Digital Twin-driven Product Design, Manufacturing and Service with Big Data" 94 (94): 3563-3576, 2018

10 Haag, S., "Digital Twin-Proof of Concept" 15 : 64-66, 2018

11 Tao, F., "Digital Twin in Industry : State-of-the-Art" 15 (15): 2405-2415, 2018

12 Zhang, M., "Digital Twin Enhanced Dynamic Job-Shop Scheduling" 2020

13 Choi, S., "An Analysis of Technologies and Standards for Designing Smart Manufacturing Systems" 121 : 422-433, 2016

14 Jung, K., "A Reference Activity Model for Smart Factory Design and Improvement" 28 (28): 108-122, 2017

15 Negri, E., "A Machine State-based Digital Twin Development Methodology" 34-40, 2019

16 Park, Y., "A Cloud-based Digital Twin Manufacturing System based on an Interoperable Data Schema for Smart Manufacturing" 33 (33): 1-18, 2020