Design and Implementation of Remote Monitoring System for Supporting Safe Subways Based on USN

Lee, Seok Cheol; Kim, Chang Soo

doi:10.1007/978-3-540-68127-4_34

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…System is the source of big data includes basic system of corporate management system ERP (Enterprise Resource Planning), MES(Manufacturing Execution System) which focuses on production automation control, company-wide plant operation management, environmental management to support the PIS(Plant Information System) and so on [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Operation Deviation in the Deasphalting Process Using Multivariate Statistics Analysis Method

Park¹,

Kim²,

Kim³

2014

Journal of Korea Multimedia Society

View full text Add to dashboard Cite

In the case of system like MES, various sensors collect the data in real time and save it as a big data to monitor the process. However, if there is big data mining in distributed computing system, whole processing process can be improved. In this paper, system to analyze the cause of operation deviation was built using the big data which has been collected from deasphalting process at the two different plants. By applying multivariate statistical analysis to the big data which has been collected through MES(Manufacturing Execution System), main cause of operation deviation was analyzed. We present the example of analyzing the operation deviation of deasphalting process using the big data which collected from MES by using multivariate statistics analysis method. As a result of regression analysis of the forward stepwise method, regression equation has been found which can explain 52% increase of performance compare to existing model. Through this suggested method, the existing petrochemical process can be replaced which is manual analysis method and has the risk of being subjective according to the tester. The new method can provide the objective analysis method based on numbers and statistic.

show abstract

Section: Introductionmentioning

confidence: 99%