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http://dx.doi.org/10.7315/CDE.2016.334

A Study on Big Data Platform Based on Hadoop for the Applications in Ship and Offshore Industry  

Kim, Seong-Hoon (Dept. of Naval Architecture & Ocean Engineering, Seoul Nat'l Univ.)
Roh, Myung-Il (Dept. of Naval Architecture & Ocean Engineering and Research Institute of Marine Systems Engineering, Seoul Nat'l Univ.)
Kim, Ki-Su (Dept. of Naval Architecture & Ocean Engineering, Seoul Nat'l Univ.)
Publication Information
Korean Journal of Computational Design and Engineering / v.21, no.3, 2016 , pp. 334-340 More about this Journal
Abstract
As Information Technology (IT) is developed constantly, big data is becoming important in various industries, including ship and offshore industry where a lot of data are being generated. However, it is difficult to apply big data to ship and offshore industry because there is no generalized platform for its application. Therefore, this study presents a big data platform based on the Hadoop for applications in ship and offshore industry. The Hadoop is one of the most popular big data technologies. The presented platform includes existing data of shipyard and is possible to manage and process the data. To check the applicability of the platform, it is applied to estimate the weight of offshore plant topsides. The result shows that the platform can be one of alternatives to use effectively big data in ship and offshore industry.
Keywords
Big data; Offshore plant; Hadoop; Weight estimation; Shipyard;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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