생산자동화장비 모델기반 시뮬레이터 설계에 관한 연구
Simulator Design Based on Production Automation Equipment Model
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초록
The recent development of ICT technology arising from the Fourth Industrial Revolution has resulted in the digitization of the production system, which is changing the paradigm of the manufacturing site and is being presented as a new concept of the digital twin. Manufacturing and production systems can be categorized into information technology and operation technology systems. Owing to the advent of digital twins, sophisticated and accurate models for the manufacturing lifecycle are necessitated. To evaluate a digital twin-based simulation model, we propose a design technology that can pre-examine the feasibility of the work procedure by applying a production automation equipment control simulator at the engineering stage.
Abstract
The recent development of ICT technology arising from the Fourth Industrial Revolution has resulted in the digitization of the production system, which is changing the paradigm of the manufacturing site and is being presented as a new concept of the digital twin. Manufacturing and production systems can be categorized into information technology and operation technology systems. Owing to the advent of digital twins, sophisticated and accurate models for the manufacturing lifecycle are necessitated. To evaluate a digital twin-based simulation model, we propose a design technology that can pre-examine the feasibility of the work procedure by applying a production automation equipment control simulator at the engineering stage.
참고문헌 (5)
- Jaeho Jeon, "CPS-based Digital Twin Modeling and Simulation Approach", The Korean Operations Research and Management Society, pp.2635~2639 (2018)
- QuanYing, "4차 산업혁명 디지털 트윈 기술의 품질경영 적용 연구", 품질경영학회지, 45(4), pp.601~610 (2017), 한국품질경영학회[DOI]
- Shiyong Wang, "Knowledge reasoning with semantic data for real-time data processing in smart factory", Sensors, 18(2), pp.4~7 (2018)
- Adrien Bécue, "CyberFactory#1—securing the industry 4.0 with cyber-ranges and digital twins", 14th IEEE International Workshop on Factory Communication Systems (WFCS), pp.1~4 (2018)
- Seung Hyng, Park, "A Study on CPS -based smart factory abnormality detection system using machine learning", Master, pp.2016