DOI QR코드

DOI QR Code

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

칼만 필터 기반의 스마트 해양기상관측 파고 시스템 연구

  • Received : 2017.11.08
  • Accepted : 2017.11.25
  • Published : 2017.11.30

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.

본 논문에서는 개발 분야가 취약한 해양관련 기상기후와 파고를 실시간으로 측정할 수 있는 스마트 해양기상관측 파고 시스템을 제안하고자 한다. 현재 국내에서는 해양파고 측정 장치가 없으며 대부분 수입하여 사용하고 있다. 대부분 수입 제품은 긴 시간 동안 측정이 불가능 하고 실시간으로 데이터를 전송하지 못하는 단점을 가지고 있다. 따라서 본 논문의 스마트 해양기상관측 파고 시스템은 데이터로거 방식으로 실시간 해양기상을 관측하고 기존의 데이터로거가 가지고 있는 기능과 해양에서 사용할 수 있는 다양한 센서들을 동시에 적용하여 사용할 수 있다. 해양파고 측정은 칼만 필터 알고리즘을 적용하였고 실시간 파고를 측정할 때 발생되는 노이즈와 정확도를 높였다. 본 논문에서는 검교정 장치와 실제 해양 테스트를 통하여 알고리즘을 적용하였을 때와 적용하지 않았을 때를 실험하였고 실험을 통하여 결과를 도출하였다. 개발된 시스템은 해양에서 사용되는 시스템으로 충전이 가능한 리튬 인산철 배터리를 개발하였고 최적의 사용을 위하여 RTC 기반의 타이머를 이용하여 소비 전력을 최소화 하였다. 본 논문에서는 측정 주기에 따른 실험을 통하여 최적의 배터리 사용과 측정값을 도출하였다.

Keywords

References

  1. Romer, Hans, HJ Styhr Petersen, and Palle Haastrup, "Marine accident frequencies-review and recent empirical results," the Journal of Navigation, Vol. 48, No. 3, pp. 410-424, 1995. https://doi.org/10.1017/S037346330001290X
  2. Akyuz, Emre, "A marine accident analysing model to evaluate potential operational causes in cargo ships," Safety science, Vol. 92, pp. 17-25, 2017. https://doi.org/10.1016/j.ssci.2016.09.010
  3. Ram, Kondamudi Siva Sai, and A. N. P. S. Gupta, "IoT based Data Logger System for weather monitoring using Wireless sensor networks," International Journal of Engineering Trends and Technology(IJETT), Vol. 32, No. 2, pp. 71-75, 2016. https://doi.org/10.14445/22315381/IJETT-V32P213
  4. Hyunjin Lee, "The Development of the Predict Model for Solar Power Generation based on Current Temperature Data in Restricted Circumstances," Journal of Digital Contents Society, Vol. 17, No. 3, pp. 157-164, 2016. https://doi.org/10.9728/dcs.2016.17.3.157
  5. Korea Meteorological Adminstration, http://www.kma.go.kr
  6. Grewal, Mohinder S, "Kalman filtering," International Encyclopedia of Statistical Science, pp. 705-708, 2011.
  7. Sun, Shu-li, "Multi-sensor optimal information fusion Kalman filters with applications," Aerospace Science and Technology, Vol. 8, No. 1, pp. 57-62, 2004. https://doi.org/10.1016/j.ast.2003.08.003
  8. OMPACT-WH, http://www.nijin.com.tw
  9. Kenek, http://www.kenek-co.com
  10. NORTEK AS, http://www.nortek-as.com
  11. Bhargava, Akansha, and R. S. Ochawar, "Biometric access control implementation using 32 bit arm cortex processor, " Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference on. IEEE, pp.40-46, 2014.
  12. Shuaib Ahmad Khan, Filippo Costa, Erno David, Jubin Mitra, Tivadar Kiss, S. Mukherjee, Rourab Paul, Tushar K. Das, A. Chakrabarti, Tapan K. Nayak, "Implementation of I2C bus master controller for CRU Slow Control in ALICE at LHC," Proceedings of the DAE-BRNS Symp. on Nucl. Phys, Vol. 61, pp. 1070-1071, 2016.
  13. Nangia, Rakhi, and Neeraj Kr Shukla, "Functional verification of I2C core using SystemVerilog," International Journal of Engineering, Science and Technology, Vol. 6, No. 4, pp.31-44, 2014. https://doi.org/10.4314/ijest.v6i4.4
  14. Jun-Hyeok Ko, Dong-Kyun Han, Se-Ra Lee, Ha-Yeon Park, Dong-Hoi Kim, "Implementation of GPS-based Wireless Loss Prevention System using the LoRa Module", Journal of Digital Contents Society, Vol. 18, No. 4, pp. 761-768, 2017. https://doi.org/10.9728/DCS.2017.18.4.761
  15. Juha Petajajarvi, Konstantin Mikhaylov, Antti Roivainen, Tuomo Hanninen and Marko Pettissalo, "On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology," ITS Telecommunications (ITST), 2015 14th International Conference on. IEEE, pp. 55-59, 2015.
  16. Marco Centenaro, Lorenzo Vangelista, Andrea Zanella and Michele Zorzi, "Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios, " IEEE Wireless Communications, Vol. 23, No. 5, pp.60-67, 2016. https://doi.org/10.1109/MWC.2016.7721743
  17. Lee, Jhong Sam, and Leonard E. Miller. "CDMA systems engineering handbook" Artech House, Inc., 1998.
  18. Batur, C., T. Sreeramreddy, and Q. Khasawneh, "Sliding mode control of a simulated MEMS gyroscope," American Control Conference, 2005. Proceedings of the 2005. IEEE, pp. 4160-4165,2005.
  19. Sabatini, Angelo M, "Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing," IEEE Transactions on Biomedical Engineering, Vol.53, No. 7, pp. 1346-1356, 2006. https://doi.org/10.1109/TBME.2006.875664
  20. Christiano, Lawrence J and Terry J. Fitzgerald, "The band pass filter," international economic review, Vol. 44, No. 2 pp. 435-465, 2003. https://doi.org/10.1111/1468-2354.t01-1-00076