|
Ocean Systems Engineering Volume 9, Number 1, March 2019 , pages 79-85 DOI: https://doi.org/10.12989/ose.2019.9.1.079 |
||
|
Big data-based piping material analysis framework in offshore structure for contract design |
||
Min-Jae Oh, Myung-Il Roh, Sung-Woo Park,
Do-Hyun Chun and Sehyun Myung
|
||
| Abstract | ||
| The material analysis of an offshore structure is generally conducted in the contract design phase for the price quotation of a new offshore project. This analysis is conducted manually by an engineer, which is time-consuming and can lead to inaccurate results, because the data size from previous projects is too large, and there are so many materials to consider. In this study, the piping materials in an offshore structure are analyzed for contract design using a big data framework. The big data technologies used include HDFS (Hadoop Distributed File System) for data saving, Hive and HBase for the database to handle the saved data, Spark and Kylin for data processing, and Zeppelin for user interface and visualization. The analyzed results show that the proposed big data framework can reduce the efforts put toward contract design in the estimation of the piping material cost. | ||
| Key Words | ||
| piping material; big data analysis; offshore structure; contract design | ||
| Address | ||
| Min-Jae Oh: Research Institute of Marine Systems Engineering, Seoul National University, Seoul, Republic of Korea Myung-Il Roh: Department of Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University, Seoul, Republic of Korea Sung-Woo Park: Interdisciplinary Program in Offshore Plant Engineering, Seoul National University, Seoul, Republic of Korea Do-Hyun Chun: Department of Naval Architecture and Ocean Engineering, Seoul National University, Republic of Korea Sehyun Myung: School of Automotive & Mechanical Design Engineering, Youngsan University, Yangsan, Republic of Korea | ||
