• Title/Summary/Keyword: Asset Administration Shell

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ASS Design to Collect Manufacturing Data in Smart Factory Environment (스마트 팩토리 환경에서 제조 데이터 수집을 위한 AAS 설계)

  • Jung, Jin-uk;Jin, Kyo-hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.204-206
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    • 2022
  • Digital twin, which is evaluated as the core of smart factory advancement, is a technology that implements a digital replica in the virtual world with the same properties and functions of assets in the real world. Since the smart factory to which digital twin is applied can support services such as real-time production process monitoring, production process simulation, and predictive maintenance of facilities, it is expected to contribute to reducing production costs and improving productivity. AAS (Asset Administration Shell) is an essential technology for implementing digital twin and supports a method to digitally represent physical assets in real world. In this paper, we design AAS for manufacturing data gathering to be used in real-time CNC (Computer Numerical Control) monitoring system in operation by considering manufacturing facility in smart factory as assets.

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Development of Cyber Physical Systems(CPS) in Manufacturing using Asset Administration Shell(AAS) (자산관리쉘(AAS)을 이용한 제조 분야 가상 물리시스템(CPS)개발)

  • Woohyun Park;Jaehyun Kim;Kichang Park;Yongkwan Lee;Jeong Joon Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.305-307
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    • 2023
  • 현재 제조업에서 설비 라인 증축 및 최적화를 위해서는 공정 분석과 설비 시스템 테스트가 요구되며, 많은 시간과 비용이 소요된다. 이러한 문제를 해결하기 위해, 가상의 설비모델을 이용해 설비검증과 라인 테스트를 수행할 수 있는 다양한 CPS(Cyber Physical System)가 연구되고 있다. 본 논문에서는 다양한 설비 이해관계자 사이의 상호운용성을 확보하기 위해 독일의 Industry 4.0에서 제안한 표준 설비 명세인 AAS(Asset Administration Shell)를 활용한 CPS 구현을 제안한다. SMT(Surface Mounting Technology) 라인 중 Screen Printer를 대상으로, 총 3개의 서브 모델(Sub model)과 17개의 속성(Property)을 AAS 명세하고 이를 이용한 CPS를 구현하는 사례연구를 수행했다. 제안 방법은 표준명세를 활용한 제조 분야 CPS 구현에 적용될 수 있다.

Requirments Analysis and AAS Design for Energy Digital Twin (에너지 디지털 트윈을 위한 요구사항 분석 및 AAS 설계)

  • Park, Kishik;Oh, Seongjin;Kang, Changku;Sung, Inmo;Sakar, Aranya
    • Smart Media Journal
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    • v.9 no.4
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    • pp.109-117
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    • 2020
  • Recently, with the advent of the 4th industrial revolution, digital twins are emerging as an important technology that connects and integrates physical systems and cyber systems. In this article, we analyzed the major requirements of digital twins required for the construction of digital twins of power equipments in the energy field, focusing on the industry 4.0-based Asset Administration Shell(AAS). However, since not so many studies have been conducted yet on a common platform or demonstration model for implementing digital twins both domestically and internationally, digital twin requirements are analyzed with the consideration of digital twinning of power equipment in the energy field. Also, we suggested necessary procedures and specific functions of AAS to establish a smart energy digital twin in the future by analyzing the core requirements necessary for the construction and designing the AAS design for specific power equipment.

Design and Implementation of Facility Monitoring System based on AAS and OPC UA for Smart Manufacturing (스마트 제조를 위한 AAS와 OPC UA기반 설비모니터링 시스템의 설계 및 구현)

  • Lee, Yongsoo;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.41-47
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    • 2021
  • Manufacturing is facing radical changes around the world. The manufacturing industry, which has been changing since Germany, is now being introduced, improved, and developed worldwide by manufacturers under the name of smart factory. By utilizing IT technologies such as artificial intelligence and cloud at the production site, the desire to break away from the past manufacturing environment is increasing. How these technologies will be efficient in the future, manufacturing worldwide now faces radical changes. The manufacturing industry, which has been changing since Germany, is now being introduced, improved, and developed worldwide by manufacturers under the name of smart factory. By utilizing IT technologies such as artificial intelligence and cloud at the production site, the desire to break away from the past manufacturing environment is increasing. Discussions continue on how these technologies can be used efficiently and effectively. Increasingly, the expansion of the range from factory areas to regions, countries, and around the world raises the need for international standards for interactions. In this paper, we propose a design and implementation method for managing facilities, sensors, etc. as assets and monitoring facility data collected through OPC UA.