The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지
DOI QR코드

DOI QR Code

Smart Ship Container With M2M Technology

M2M 기술을 이용한 스마트 선박 컨테이너

  • Received : 2013.01.14
  • Accepted : 2013.03.08
  • Published : 2013.03.29
Download PDF
⟨ Previous Next ⟩

Abstract

Modern information technologies continue to provide industries with new and improved methods. With the rapid development of Machine to Machine (M2M) communication, a smart container supply chain management is formed based on high performance sensors, computer vision, Global Positioning System (GPS) satellites, and Globle System for Mobile (GSM) communication. Existing supply chain management has limitation to real time container tracking. This paper focuses on the studies and implementation of real time container chain management with the development of the container identification system and automatic alert system for interrupts and for normal periodical alerts. The concept and methods of smart container modeling are introduced together with the structure explained prior to the implementation of smart container tracking alert system. Firstly, the paper introduces the container code identification and recognition algorithm implemented in visual studio 2010 with Opencv (computer vision library) and Tesseract (OCR engine) for real time operation. Secondly it discusses the current automatic alert system provided for real time container tracking and the limitations of those systems. Finally the paper summarizes the challenges and the possibilities for the future work for real time container tracking solutions with the ubiquitous mobile and satellite network together with the high performance sensors and computer vision. All of those components combine to provide an excellent delivery of supply chain management with outstanding operation and security.

현대 정보 기술은 새롭고 개선된 방법으로 여러 산업들에 지속적인 제공을 하고 있다. 본 논문에서 고려한 스마트 컨테이너 공급망 관리는 사물지능(M2M)통신의 급속한 발전과 함께 고성능 센서, 컴퓨터 비전, GPS, GSM을 기반으로 형성된다. 기존 공급망관리는 실시간 컨테이너 추적에 제한이 있다는 문제점을 가지고 있다. 본 논문은 인터럽트 및 보통 정기적인 알림에 대한 컨테이너 식별 시스템과 자동 알림 시스템의 개발과 실시간 컨테이너 공급망관리의 연구 및 구현에 초점을 맞추었다. 첫째, 본 논문은 컨테이너 코드 식별 및 실시간 작업에 대해 컴퓨터 비전 라이브러리와 OCR 엔진을 비주얼 스튜디오 2010으로 구현된 식별 알고리즘을 제안하고 있다. 둘째는 실시간 컨테이너 추적 및 그 시스템의 한계에 대해 제공되는 현재 자동 알림 시스템에 대해 설명한다. 마지막으로 본 논문은 고성능 센서와 컴퓨터 비전과 함께 유비쿼터스 모바일 및 위성 네트워크와 실시간 컨테이너 추적 솔루션의 미래에 도전과 가능성을 요약하였다. 뛰어난 운영 및 보안 공급망관리의 우수한 전송을 제공하기 위해 이러한 모든 구성요소를 결합하였다.

Keywords

References

  1. H. Cho and J. Puthenkulam, "Machine to machine (M2M) communication study report," IEEE 802.16ppc-10/0002r6, May 2010.
  2. J. J. Shin and H. R. Choi, "A study on data communicating method of real time based container tracking system," Int. J. Multimedia Ubiquitous Eng. (IJMUE), vol. 7, no. 2, pp. 201-207, Apr. 2012.
  3. C. Y. Lee and H. K. Hong, "A study of the message protocols technologies in M2M platforms," J. Korea Inform. Commun. Soc. (KICS), vol. 35, no. 1, pp. 53-61, Jan. 2010.
  4. W. S. Bae, S. Y. Lee, and Y. J. Kim, "An efficient authentication protocol for e-Seal security," Autumn Conf. Korea Academia-Indust. Cooperation Soc. (KAIS), pp. 591-593, Seoul, South Korea, Dec. 2009.
  5. G. T. Technology (2012), GPS container tracking [Online], retrieved (2012, Dec), available: http://globaltrackingtechnology.com/.
  6. Wikipedia (2012), Microsoft visual studio [Online], retrieved (2012, Dec 30), available: http://en.wikipedia.org/wiki/Microsoft_Visual_ Studio.
  7. Wikipedia (2012), OpenCV [Online], retrieved (2012, Dec), available: http://en.wikipedia.org/wiki/OpenCV.
  8. G. P. Hosting (2012), Tesseract-ocr [Online], retrieved (2012 Dec 25), available: http://code.google.com/p/tesseract-ocr/.
  9. Wikipedia (2012), ISO 6346 [Online], retrieved (2012 Dec 25), available: http://en.wikipedia.org/wiki/ISO_6346.
  10. I. S. Igual, A. P. Jimenez, and G. A. Garica, "Preprocessing and recognition of characters in container codes," in Proc. 16th Int. Conf. Pattern Recognition, vol. 3, pp. 143-146, Aug. 2002.
  11. K. Koo and E. Cha, "A novel container ISO-code recognition method using texture clustering with a spatial structure window," Int. J. Advanced Sci. Technol. (IJAST), vol. 41, pp. 83-92, Apr. 2012.
  12. H. C. Chen, C. K. Chen, and F. Hsu, "A computer vision system for automated container code recognition," in Proc. Int. Multi Conf. Eng. and Comput. Scientists (IMECS 2011), pp. 470-474, Hong Kong, Mar. 2011.
  13. M. M. Gil, P. Espineira, and M. Juan, "Supply chain management in automotive international logistics," J. Syst. Manage. Sci. (JSMS), vol. 1, no. 4, pp. 80-96, Aug. 2011.
  14. R. Shetty, and R. Caceres, "Optical container code recognition and its impact on the maritime supply chain," in Proc. Ind. and Syst. Eng. Research Conf. (ISERC 2012), Florida, U.S.A., May 2012.
  15. A. C. Skorna and C. Bode, "Risk and loss prevention within the transport chain," 20th Int. Conf. Manage. Tech. (IAMOT 2011). Florida, U.S.A., Apr. 2011.
  16. W. Wu, Z. Liu, and M. Chen, "An automated vision system for container-code recognition," Int. J. Expert Syst. Applicat. (ESWA), vol. 39, no. 3, pp. 2842-2855, Feb. 2012. https://doi.org/10.1016/j.eswa.2011.08.143