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  • 标题:Agent-Based Asset Administration Shell Approach for Digitizing Industrial Assets
  • 本地全文:下载
  • 作者:Lucas Sakurada ; Paulo Leitao ; Fernando De la Prieta
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:2
  • 页码:193-198
  • DOI:10.1016/j.ifacol.2022.04.192
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractModern manufacturing systems are facing new challenges related to the fast-changing market conditions, increased global competition and rapid technological developments, imposing strong requirements in terms of flexibility, robustness and reconfigurability. In this context, the Industry 4.0 (I4.0) paradigm relies on digitizing industrial assets to fulfil these requirements. The implementation of this digitization process is being promoted by the so-called Asset Administration Shell (AAS), a digital representation of an asset that complies with standardization and interoperability strategies. At this moment, a significant part of the AAS developments is more focused on the information management of the asset along its lifecycle and not concerned with aspects of intelligence and collaboration, which are fundamental aspects to develop I4.0 compliant solutions. In this sense, this paper presents an agent-based AAS approach for enhancing the digitization process of assets, considering agents to embed distributed intelligence and collaborative functions, service orientation to support interoperability, and holonic principles to provide the system organization. The proposed agent-based AAS was implemented in an industrial automation system aiming to analyze its applicability.
  • 关键词:KeywordsAsset Administration ShellsIndustrial Cyber-Physical SystemsI4.0 componentsMulti-agent SystemsReference Architecture Model Industrie 4.0.
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