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http://dx.doi.org/10.36498/kbigdt.2022.7.2.139

Development of Plant Engineering Analysis Platform using Knowledge Base  

Young-Dong Ko (위세아이텍 기업부설연구소)
Hyun-Soo Kim (위세아이텍 기업부설연구소)
Publication Information
The Journal of Bigdata / v.7, no.2, 2022 , pp. 139-152 More about this Journal
Abstract
Engineering's work area for plants is a technical area that directly affects productivity, performance, and quality throughout the lifecycle from planning, design, construction, operation and disposal. Using the different types of data that occur to make decisions is important not only in the subsequent process but also in terms of cyclical cost reduction. However, there is a lack of systems to manage and analyze these integrated data. In this paper, we developed a knowledge base-based plant engineering analysis platform that can manage and utilize data. The platform provides a knowledge base that preprocesses previously collected engineering data, and provides analysis and visualization to use it as reference data in AI models. Users can perform data analysis through the use of prior technology and accumulated knowledge through the platform and use visualization in decision-support and systematically manage construction that relied only on experience.
Keywords
Big Data Platform; NLP; Predictive Maintenance; Artificial Intelligence;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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