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http://dx.doi.org/10.9728/dcs.2017.18.7.1377

A Study on Ocean Meteorological Observation Wave Meter System based on Kalman-Filter  

Park, Sanghyun (Oceaneng(Ltd.))
Park, Yongpal (Oceaneng(Ltd.))
Kim, Heejin (Oceaneng(Ltd.))
Kim, Jinsul (School of Electronics & Computer Engineering, Chonnam National University)
Park, Jongsu (Oceaneng(Ltd.))
Publication Information
Journal of Digital Contents Society / v.18, no.7, 2017 , pp. 1377-1386 More about this Journal
Abstract
We propose a smart ocean meteorological observation system which is capable of real-time measurement of vulnerable marine climate and oceanographic conditions. Besides, imported products have several disadvantages such that they can't be measured for a long time and can't transmit data in real time. In the proposed system, smart ocean observation digging system, it observes real-time ocean weather with data logger methods. Furthermore, we also use existing dataloggers functions with various sensors which are available in the ocean at the same time. Also, we applied the Kalman-filter algorithm to the ocean crest measurement to reduce the noise and increase the accuracy of the real-time wave height measurement. In the experiment, we experimented the proposed system with our proposed algorithms through calibration devices in the real ocean environment. Then we compared the proposed system with and without the algorithms. As a result, the system developed with a lithium iron phosphate battery that can be charged by a system used in the ocean and minimized power consumption by using an RTC based timer for optimal use. Besides, we obtained optimal battery usage and measured values through experiments based on the measurement cycle.
Keywords
Kalman filer; Ocean weather observation; Data logger; Smart Wave Meter Buoy;
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Times Cited By KSCI : 2  (Citation Analysis)
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