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http://dx.doi.org/10.7232/JKIIE.2014.40.1.034

Case Study of Design and Implementation for Hadoop-Based Integrated Facility Monitoring System  

Kim, Sangrak (BK&C)
Jang, Gilsang (Department of Management Information System, University of Ulsan)
Cho, Chiwoon (School of Industrial Engineering, University of Ulsan)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.40, no.1, 2014 , pp. 34-42 More about this Journal
Abstract
SCADA and DCS that have performed automatic control and monitoring activities increase the productivity of enterprise in industries. In such systems, although their performance had been improved, there are still many deficiencies in predictive maintenance which can foresee the risk of any kinds of accidents. Because the data acquisition systems of main facilities are being distributed throughout the whole plant and therefore, integration of data obtained from the systems is very difficult. Accordingly, techniques that acquire meaningful information from the gathered data through realtime analysis still need to be improved. This paper introduces a developed facility monitoring system which can predict equipment failure and diagnose facility status through big data analysis to improve equipment efficiency and prevent safety accidents.
Keywords
Big Data; IoT; Hadoop; HDFS; Facility; Monitoring;
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Times Cited By KSCI : 1  (Citation Analysis)
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