Manufacturing Ontology Development based on Industry 4.0 Demonstration Production Line
Cheng HB(程海波); Zeng P(曾鹏); Xue LL(薛玲玲); Shi Z(施昭); Wang P(王鹏); Yu HB(于海斌)
2016
会议名称2016 3rd International Conference on Trustworthy Systems and their Applications (TSA)
会议日期September 18-20, 2016
会议地点Wuhan, CHINA
关键词factory automation knowledge representation manufacturing systems semantic technologies ontologies control engineering
页码42-47
通讯作者程海波
中文摘要The increasing pressures faced by manufacturers, the shortening of innovation cycles and the growing importance of high-efficiency manufacturing demand a higher versatility of factory automation. In order to achieve this target, engineering tasks currently performed manually need to be automated. In this case, ontologies emerge as a significant method for representing manufacturing knowledge in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to reconfigure the control software that coordinates and supervises manufacturing systems. Besides, Ontology can play a very important role in the process of creating as well as managing the knowledge. This paper addresses the important issues in developing domain-specific ontology for manufacturing used in industry 4.0 demonstration production line. A generic ontology is developed considering all the aspects about product from customized order to resulting production.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Comp Soc, IEEE Reliabil Soc, Wuhan Univ, Tunghai Univ, Hsiuping Univ Sci & Technol
会议录PROCEEDINGS 2016 THIRD INTERNATIONAL CONFERENCE ON TRUSTWORTHY SYSTEMS AND THEIR APPLICATIONS (TSA)
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-5090-3539-7
WOS记录号WOS:000390552700007
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/19826]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Cheng HB,Zeng P,Xue LL,et al. Manufacturing Ontology Development based on Industry 4.0 Demonstration Production Line[C]. 见:2016 3rd International Conference on Trustworthy Systems and their Applications (TSA). Wuhan, CHINA. September 18-20, 2016.
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