Integration of OPC UA Information Models into Enterprise Knowledge Graphs

Q2 Engineering
Arno Weiss, S. Ihlenfeldt
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引用次数: 0

Abstract

Building repositories of data relevant for enterprise operations requires harmonization of formats and semantics. OPC UA’s nodes-and-references data model shares basic elements with well-established semantic modeling technologies like RDF. This paper suggests the use of transformed OPC UA information models on the higher level of Enterprise Knowledge Graphs. It proposes good practice to integrate the separate domains by representing OPC UA servers as RDF-graphs and subsequently attaching them to Digital Twins embedded in Enterprise Knowledge Graph structures. The developed practice is implemented, applied to combine a server’s structure with an existing knowledge graph containing an Asset Administration Shell and released open source.
OPC UA信息模型与企业知识图的集成
构建与企业操作相关的数据存储库需要协调格式和语义。OPC UA的节点和引用数据模型与RDF等成熟的语义建模技术共享基本元素。本文建议在企业知识图的更高层次上使用转换后的OPC UA信息模型。通过将OPC UA服务器表示为rdf图,并随后将它们附加到嵌入在企业知识图结构中的数字孪生中,提出了集成独立领域的良好实践。开发的实践已经实现,并应用于将服务器结构与包含Asset Administration Shell的现有知识图谱结合起来,并发布了开源版本。
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来源期刊
Journal of Machine Engineering
Journal of Machine Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.70
自引率
0.00%
发文量
36
审稿时长
25 weeks
期刊介绍: ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.
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