Browse > Article
http://dx.doi.org/10.7837/kosomes.2020.26.5.474

Database Development for Equipment Performance Monitoring System in an Offshore Plant  

Yoo, Seung-Yeol (Department of Ocean System Engineering, Gyeongsang National University)
Seo, Ju-Wan (Department of Ocean System Engineering, Gyeongsang National University)
Lee, Jae-Chul (Department of Ocean System Engineering, Gyeongsang National University)
Hwang, Se-Yun (Marimo Eng. co. Ltd.)
Hwang, Ho-Jin (Korea Research Institute of Ships and Ocean Engineering)
Lee, Soon-Sup (Department of Ocean System Engineering, Gyeongsang National University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.26, no.5, 2020 , pp. 474-482 More about this Journal
Abstract
To ensure the safe operation of offshore plants, a system is needed for evaluating the equipment performance and for monitoring the results. Currently, owing to the operating environments of of shore plants situated far from the land, measurement data must be periodically stored in storage devices and carried on the land for evaluating the equipment performance. Consequently, it is difficult to prevent equipment failure because the performance evaluation cycle is long. Furthermore, until the next performance evaluation is conducted, it is difficult to determine the equipment's degree of performance degradation. Hence, it is necessary to install an onboard equipment performance monitoring system within the offshore plant. In this study, to evaluate and visualize the results of equipment performance within an offshore plant, a database was designed as the initial step towards the development of an equipment performance monitoring system. The tag data of major equipment were selected and analyzed. Furthermore, in order to store and manage the data measured in real time within the offshore plant, a database was developed for the onboard equipment performance monitoring system.
Keywords
Offshore plant; Equipment performance evaluation; Monitoring; On-board system; Database;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 BP(2010), Deepwater Horizon Accident Investiation Report, the report of an internal BP incident investigation team, September 2010.
2 Elman, P., J. Bramande, E. Elletson, and K. Pinheiro(2013), Reducing Uncertainty Through the Use Of Mooring Line Monitoring, Proceedings in Offshore Technology Conference, Rio de Janeiro, Brasil, pp. 1-9.
3 Gerner, M. B., S. R. Perryman, J. F. Geyer, and J. T. von Aschwege(2007), Marine Monitoring of Gulf of Mexico Deepwater Floating Systems, Proceedings in Offshore Technology Conference, Houston, Texas, U.S.A., pp. 1-6.
4 Gim, H. S., K. I. An, and J. S. Hwang(2014), Design of Condition based maintenance system For the integrated and intelligent operation of offshore plant, Proceedings of the Society of CAD/CAM Conference, Pyeongchang, Republic of Korea, pp. 152-155.
5 Gim, H. S., K. I. An, D. Y. Song, J. S. Hwang, and H. J. Hwang(2015), The development state of Condition Based Maintenance System for Offshore Platform, Proceedings in the Institute of Electronics and Information Engineers, Jeju, Republic of Korea, pp. 1840-1843.
6 Hwang, H. J. and J. S. Hwang(2017), Development of Condition based Maintenance Platform to Support the Condition based Maintenance Process in Offshore Plants, Journal of the Society of Naval Architects of Korea, 54(3), pp. 27-30.
7 Graham, B., W. K. Reilly, F. Beinecke, D. Boesch T. D., Garcia, C. A. Murray, and F. Ulmer(2011), National Commission on the BP Deepwater Horizon Oil Spill and Offshore Drilling, Deep Water - the Gulf Oil Disaster and the Future of Offshore Drilling, January 2011.
8 Herbst, L. T.(2007), NTL No.2007-G26, United States Department of the Interior Minerals Management Service Gulf of Mexico Region, October 2007.
9 Herbst, L. T.(2011), NTL No.2011-G01, United States Department of the Interior Minerals Management Service Gulf of Mexico Region, June 2011.
10 Hwang, H. J. and J. S. Hwang(2018), Development and Application of CBM (Condition-Based Maintenance) Platform Supporting CBM Processes for Offshore Plants, Korean Journal of Computational Design and Engineering, 23(3), pp. 215-224.   DOI
11 Park, J. Y. and M. H. Kim(2016), Application of the Field of Materials.Destruction in Offshore Plant Industry, Journal of the Korean Society of Marine Engineering, 56(4), pp. 45-47.
12 Hwang, J. S., K. P. Park, J. W. Park, H. J. Hwang, and I. Y. Kong(2016), Introduction of Condition based System for Offshore Plants, Korean Journal of Computational Design and Engineering, 22(1), pp. 47-53.
13 Kim, H. K., H. G. Hwang, G. J. Yoo, J. S. Lee, H. C. Park, O. K. Shin, and S. D. Lee(2014), A Development of Video-complex Remote Monitoring System for Offshore Plant, Journal of the Korean Society of Marine Engineering, 38(1), pp. 56-63.   DOI
14 Kim, S. S. and J. H. Won(2015), Implementation of Real-time Data Stream Processing for Predictive Maintenance of Offshore Plants, Journal of the Korean Institute of Information Scientists and Engineers, 42(7), pp. 840-845.
15 Lee, J. K., S. Y. Lee, T. H. Kim, and K. S. Ham(2016a), Development of Unified SCADA System based on IEC61850 in Wave-offshore Wind Hybrid Power Generation System, Journal of the Korean Institute of Electrical Engineers, 65(5), pp. 811-818.   DOI
16 Lee, J. K., S. Y. Lee, T. H. Kim, and K. S. Ham(2016b), A Study on Heterogeneous Computing Environment based on OpenCL for High-speed Operation of Wave-offshore Wind Hybrid Power Generation SCADA System, proceedings of 2016 Conference of the Korean Society for Marine Environment and Energy, Busan, Republic of Korea, pp. 195-198.