Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Interconnection between National Disaster Management System and Private Disaster Prevention IT Technology through Application

국가재난관리 시스템과 민간 방재IT기술의 지능정보기술 적용 사례고찰을 통한 상호 연계에 관한 연구

  • Kim, Jaepyo (Dept. Of Smart Convergence Consulting, Hansung University) ;
  • Kim, Seungcheon (Dept. Of IT Convergence, Hansung University)
  • 김재표 (한성대학교 스마트융합컨설팅학과 제품분야) ;
  • 김승천 (한성대학교 IT융합학과)
  • Received : 2020.06.16
  • Accepted : 2020.08.20
  • Published : 2020.08.28
Download PDF
⟨ Previous Next ⟩

Abstract

In order to strengthen the disaster prevention phase and the management of social disasters, we will examine the plan of To-Be disaster management system interconnected by using intelligent information technologies such as IoT, Cloud, Big Data, Mobile and AI. The disaster management system can be upgraded by constructing an intelligent infrastructure based on Big Data analysis of the disaster signals before and after the disasters generated by private mobile and IoT. Big Data of disaster Signals can be customized to users in a timely manner through AI methodologies of supervised and unsupervised learning and reinforcement training. In the long term, it is expected that not only will the capacity of disaster response be improved, but the management ability centering on prevention will be enhanced as well.

재난예방단계와 사회재난분야의 관리강화를 위해 지능정보기술(ICBMA, IoT, Cloud, Big Data, Mobile, AI) 활용하여 상호 연계한 To-Be 재난관리시스템 제안을 고찰하고자 한다. 민간Moble, IoT등에서 생성되는 재난발생 전후시기에 재난징후의 Big Data와 분석 결과로 초지능 인프라를 구축함으로써 현재 재난관리 시스템을 고도화할 수가 있다. 재난징후의 Big Data를 AI의 지도, 비지도 강화훈련 학습으로 사용자에게 적시에 맞춤식 제공이 가능하고 장기적으로 재난대처 능력이 향상될 뿐 만 아니라 예방단계 중심의 관리 능력이 높아질 것으로 예상된다.

Keywords

References

  1. J. P. Kim. (2019). A Study on smart IT technology application to national disaster management system. The 9th International Conference on Convergence Technology, 539-540.
  2. O. O. Lee. (2015). Introduction to Emergency Management. Sang Neung Publisher, 358-372.
  3. B. G. Lee. (2018). A Study on the Disaster Safety Management of Local Governments in Smart Society. Wonju Korean Research Institute for Local Administration, 81-113.
  4. S. J. Choi. (2015). A Study of Operation Plan for Efficient Public Warning. KCC, 12-13.
  5. Ipaws components. https://www.fema.gov/ipaws components
  6. S. H. Park. (2015). Research on improvement of evacuation guidance system, based on evacuation simulation. National Disaster Management Research Institute, 32-33.
  7. MIC. https://www.soumu.go.jp/johotsusintokei/whitepaper/ja/h28/html/nc269240.html
  8. UTM. https://people.utm.my/noreliza/foundation of river and basin integrated communication frics tokyojapan/
  9. Wikipedia. https://en.wikipedia.org/wiki/J-Alert
  10. Corpenicus EMS. https://emergency.copernicus.eu/mapping/ems/what-copernicus
  11. KOREA CC. https://m.blog.naver.com/kcc1335/220884055370
  12. S. I. Myong. (2018). IoT Based Disaster Mitigation and Monitoring Technologies. Electronic and Telecommunications Trends, 103-108. DOI:10.22648/ETRI.2018.J.330110
  13. J. G. An et al. (2010). Status of Pollutants Through Clean SYS (Smoke Stack Tele Monitoring System). Korean Society for Atmospheric Environment, 235.
  14. J. G. Kim et al. (2013). Development of Hydrologic Hydrodynamic Flood Coupling Model (1). National Disaster Management Research Institute, 11-1312184-000048-01
  15. O. H. Oh et al. (2016). Water purification apparatus having multistage model. KIPO, 10-2016-0020644