Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신승준 | - |
dc.date.accessioned | 2022-09-22T05:19:49Z | - |
dc.date.available | 2022-09-22T05:19:49Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.citation | 대한산업공학회지, v. 46, NO 6, Page. 580-592 | en_US |
dc.identifier.issn | 1225-0988; 2234-6457 | en_US |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10505136&language=ko_KR&hasTopBanner=true | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/173212 | - |
dc.description.abstract | Manufacturing intelligence necessitates interoperable data and model exchange so that machines seamlessly collect and share their data to create and use data-driven models for predictive planning and control. Open Platform Communications Unified Architecture (OPC UA) has become a powerful standard for data interoperability, and has been extended to various industrial sectors through publishing OPC UA companion specifications with collaboration of industrial consortiums. However, companion specifications for the interoperability of data analytics models have not been released yet. The present work proposes an OPC UA-based representation method for the data analytics models formalized by Predictive Model Markup Language (PMML), an XML-based language for interchanging data analytics models. This article includes: definition of mapping rules between PMML and OPC UA, design of OPC UA information models compliant with PMML, and implementation of a server-client prototype that publishes and subscribes two OPC UA model instances transformed from PMML-based regression and neural network models. | en_US |
dc.description.sponsorship | 이 논문은 2018년 교육부와 한국연구재단 이공학개인기초연구지원사업의 지원을 받아 수행되었음(NRF-2018R1D1A1B07047100). | en_US |
dc.language.iso | ko | en_US |
dc.publisher | 대한산업공학회 | en_US |
dc.subject | OPC UA; PMML; Interoperability; Data analytics; Manufacturing intelligence; Smart factory | en_US |
dc.title | 상호운용적 제조지능화를 위한 OPC UA 기반 데이터 애널리틱스 모델 표현 방법 | en_US |
dc.title.alternative | An OPC UA-based Representation Method of Data Analytics Models for Interoperable Manufacturing Intelligence | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 46 | - |
dc.identifier.doi | 10.7232/JKIIE.2020.46.6.580 | en_US |
dc.relation.page | 580-592 | - |
dc.relation.journal | 대한산업공학회지 | - |
dc.contributor.googleauthor | 신, 승준 | - |
dc.contributor.googleauthor | 프리타, 메일라니타사리 | - |
dc.relation.code | 2020040724 | - |
dc.sector.campus | S | - |
dc.sector.daehak | SCHOOL OF INTERDISCIPLINARY INDUSTRIAL STUDIES[S] | - |
dc.sector.department | SCHOOL OF INTERDISCIPLINARY INDUSTRIAL STUDIES | - |
dc.identifier.pid | sjshin | - |
dc.identifier.orcid | https://orcid.org/0000-0002-3587-5507 | - |
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