해양환경안전학회지 (Journal of the Korean Society of Marine Environment & Safety)

  • 제28권6호
  • /
  • Pages.1044-1053
  • /
  • 2022
  • /
  • 1229-3431(pISSN)
  • /
  • 2287-3341(eISSN)
해양환경안전학회 (The Korean Society of Marine Environment and safety)
권호 표지
DOI QR코드

DOI QR Code

시간영역반사계를 이용한 해수배관시스템의 누수 탐지용 센서 개발 연구

Development of TDR-based Water Leak Detection Sensor for Seawater Pipeline of Ship

  • 황현규 (목포해양대학교 대학원) ;
  • 신동호 (목포해양대학교 대학원) ;
  • 김헌희 (목포해양대학교 기관시스템공학부) ;
  • 이정형 (목포해양대학교 기관시스템공학부)
  • Hwang, Hyun-Kyu (Graduate school, Mokpo national maritime university) ;
  • Shin, Dong-Ho (Graduate school, Mokpo national maritime university) ;
  • Kim, Heon-Hui (Division of marine engineering, Mokpo national maritime university) ;
  • Lee, Jung-Hyung (Division of marine engineering, Mokpo national maritime university)
  • 투고 : 2022.10.04
  • 심사 : 2022.10.28
  • 발행 : 2022.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

시간영역반사계(TDR)는 케이블의 물리적 결함을 검사하는 기법이며 누수 탐지 분야로의 응용영역을 확대하고 있다. 본 연구는 시간영역반사계 기법을 활용하여 선박 기관실 해수 배관의 누설 감지용 케이블형 센서를 개발하였다. 케이블 센서의 형상은 꼬임형상과 흡습부재를 이용하여 제작하였으며 개발된 센서의 누수 감지 여부와 위치 탐지 가능성을 확인하였다. 개발된 센서는 실제 배관 시험 장치에 부착하여 평가하였으며 해수 누설에 따른 다양한 TDR 신호를 취득하였다. 센서는 꼬임횟수, 피복 두께를 변수로 하여 제작하였으며 TDR 신호에 미치는 효과를 분석하였다. 실험 결과, 꼬임형 센서는 평행한 띠 형상의 센서에 비해 평활한 신호 취득이 가능하였으며 최적 꼬임 횟수는 단위길이 당 10회 이상인 것으로 나타났다. 절연 피복두께의 경우 적정 민감도 확보가 가능한 절연 피복부재의 두께는 도선직경의 80%~120%로 확인되었다. 누수 위치 추정을 위해 회귀분석 실시 결과, 결정계수는 0.9998로 실제 누설 위치와 높은 상관관계를 나타내었다. 결과적으로 제안된 TDR 기반의 누수 감지용 꼬임형 센서는 해수 배관 시스템의 누수 감시 센서로의 충분한 적용성을 확인하였다.

Time domain reflectometry (TDR) is a diagnostic technique to evaluate the physical integrity of cable and finds application in leak detection and localization of piping system. In this study, a cable-shaped leak detection sensor was proposed using the TDR technique for monitoring leakage detection of ship's engine room seawater piping system. The cable sensor was developed using a twisted pair arrangement and wound by an absorbent material. The availability and performance of the sensor for leak detection and localization were evaluated on a lab-scale pipeline set up. The developed sensor was installed onto the pipes and flanges of the lab-scale set up and various TDR waveforms were acquired and analyzed according to the dif erent variables including the number of twists and sheath thickness. The result indicated that the twisted cable sensor was able to produce clear and smooth signal as compared to the TDR sensor with a parallel arrangement. The optimal number of twist was determined to be above 10 per the unit length. The optimal diameter of sheath thickness that results in the desired sensitivity was determined to be ranging from 80% up to 120% of the diameter of the conductor. The linear regression analysis for estimation of leak localization was carried out to estimate the location of the leakage, and the result was a determination coefficient of 0.9998, indicating a positive relationship with the actual leakage point. The proposed TDR based leak detection method appears to be an effective method for monitoring leakage of ship's seawater piping system.

키워드

과제정보

This work was supported by the 'Autonomous Ship Technology Development Program (2001-1164, Development of Performance Monitoring and Failure Prediction and Diagnosis Technology for Engine System of Autonomous Ships)' funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea)

참고문헌

  1. Allal, A. A., K. Mansouri, M. Youssfi, and M. Qbadou(2017), Toward a reliable sea water central cooling system for a safe operation of autonomous ship. In Proceedings of the International Conference on Recent Innovation in Engineering and Technology, Vol. 5, No. 12 pp. 15-16.
  2. Cataldo, A., E. D. Benedetto, G. Cannazza, A. Masciullo, N. Giaquinto, G. M. D'Aucelli, N. Costantino, A. D. Leo and Marcello Miraglia(2017) Recent advances in the TDR-based leak detection system for pipeline inspection, Measurement, Volume 98, pp. 347-354 https://doi.org/10.1016/j.measurement.2016.09.017
  3. Cataldo, A., G. Cannazza, E. D. Benedetto, and N. Giaquinto (2012), Experimental Validation of a TDR-Based System for Measuring Leak Distances in Buried Metal Pipes, Progress In Electromagnetics Research, Vol. 132, pp. 71-90. https://doi.org/10.2528/PIER12081402
  4. Fatemi Aghda, S. M., K. GanjaliPour and K. Nabiollahi(2018), Assessing the accuracy of TDR-based water leak detection system, Results in Physics, Vol. 8, pp. 939-948. https://doi.org/10.1016/j.rinp.2018.01.027
  5. Fisher, M., M. N. Chowdhury, A. A. Khan, and S. Atamturktur(2013), An evaluation of scour measurement devices. Flow Measurement and Instrumentation, Vol. 33, pp.
  6. Hanshemian, H. M.(2004), Sensor performance and reliability, International Society of Automation.
  7. Hong, S. U. and Y. S. Cho(2007), A Study of the Structural Internal Assessment of Concrete Slab Using the Ground Penetrating Radar Exploration, Journal of the Architectural Institute of Korea, Vol. 23. No. 10 pp. 51-58.
  8. Hwang, H. K., D. H. Shin, H. H. Kim, and J. H. Lee(2021), Reliability Evaluation of ER Type Corrosion Sensor for Monitoring Corrosion of Piping System Under Accelerated Corrosion Environment, Corrosion Science and Technology, Vol. 20, No. 6, pp. 403-411.55-67. https://doi.org/10.14773/CST.2021.20.6.403
  9. Jiangwen, W., Y. Yang, W. Yinfeng, F. Renjian, and Y. Ning, (2012), Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks, Sensors, Vol. 12, No. 1, pp. 189-214. https://doi.org/10.1109/JSEN.2011.2126568
  10. Kim, D. Y. and S. S. Yoon(2012), Design of Wideband Electromagnetic Wave Absorber Using Magnetic Materials, Journal of the Korean Magnetics Society, Vol. 22, No. 6. pp. 210-215. https://doi.org/10.4283/JKMS.2012.22.6.210
  11. Kim, J. S.(2012a), A Study on Application of TDR sensor for Slope Stability Analysis, A thesis for a doctorate, Kyungil University.
  12. Kim, M. S.(2012b), A Study on Development of the Landfill Liner System Damage Recognition Algorithm using TDR, A thesis for a Master, Kyungil University, Kyungpook National University.
  13. Kim, T., B. D. Youn, and S. Woo(2015) Model-Based Detection of Pipe Leakage at Joints, Transactions of the Korean Society of Mechanical Engineers A, The Korean Society of Mechanical Engineers, Vol. 39, No. 3. pp. 347-352. https://doi.org/10.3795/KSME-A.2015.39.3.347
  14. Kim, Y. E., P. W. Jong, and H. S. Lee(2022), The Study on the Inspection Method of CAN Communication Line, Journal of The Institute of Electronics and Information Engineers, Vol. 57, No. 4, pp. 110-115.
  15. Park, S. K.(2006), Detecting reinforcing bars under multi boundary layers and void shapes in concrete using simulation analysis model of electromagnetic wave radar. KSCE Journal of Civil and Environmental Engineering Research, Vol. 26, No. 4A, pp. 809-816. https://doi.org/10.12652/KSCE.2006.26.4A.809
  16. Stoianov, I., L. Nachman, and S. Madden(2007), PIPENET: A wireless sensor network for pipeline monitoring, in Proc. 6th IEEE Int. Symp. Inf. Process. Sensor Netw., pp. 264-273.
  17. Suchorab, Z., M. K. Widomski, G. Lagod, D. Barnat-Hunek, and D. Majerek(2018), A Noninvasive TDR Sensor to Measure the Moisture Content of Rigid Porous Materials. Sensors. Vol. 18, No. 11, p. 3935. https://doi.org/10.3390/s18113935
  18. Yu, J. D., J. S. Lee, M. H. Bae, J. Park, and H. K. Yoon (2018), A Study on the Development of Scour Monitoring System Using TDR. Journal of the Korean Society of Hazard Mitigation Vol. 18 , No. 5, pp. 239-245.
  19. Yuhua, D. and Y. Datao(2005), Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis, Journal of Loss Prevention in the Process Industries, Vol. 18, No. 2, pp. 83-88. https://doi.org/10.1016/j.jlp.2004.12.003