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Internet + maritime emergency management platform – a case study of the Liujiaxia reservoir area in Gansu Province, China

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
With the development of tourism in the inland waters, various types of accidents in the waters have posed a great threat to human life, property, and the environment. This has caused concern in all circles of society. According to water tourism safety issues, and relying on Internet technology, shipping safety, and public safety management theory, this paper has proposed the concept and design plan of an Internet + maritime emergency management platform. This platform includes functions such as the intelligent perception of a ship’s navigation status, the scientific selection of a maritime emergency rescue site, the emergency rescue scene, the online dynamic management of maritime emergency resources, and the online production of a maritime emergency rescue plan. The design scheme has been used in the platform’s development. This paper has taken the application of the Internet + maritime emergency management platform for the Liujiaxia reservoir in the Gansu Province of China as an example. The results showed that the design of the platform that has been proposed in this paper is reasonable and that it can provide scientific, fast and accurate decision information for emergency command in the Liujiaxia reservoir and improve the effective control of the accident site as well as the use of resources.
Rocznik
Strony
78--85
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
  • Wuhan University of Technology, School of Navigation, Hubei, China
autor
  • Wuhan University of Technology, Hubei Key Laboratory of Inland Shipping Technology, Hubei, China
autor
  • Wuhan University of Technology, School of Navigation , Hubei, China
autor
  • Wuhan University of Technology, School of Navigation, Hubei, China
Bibliografia
  • 1. Coppini, G., Jansen, E., Turrisi, G., Creti, S., Shchekinova, E.Y., Pinardi, N., Lecci, R., Carluccio, I., Kumkar, Y.V., D’Anca, A., Mannarini, G., Martinelli, S., Marra, P., Capodiferro, T. & Gismondi, T. (2016) A new searchand-rescue service in the Mediterranean Sea: a demonstration of the operational capability and an evaluation of its performance using real case scenarios. Natural Hazards and Earth System Sciences 16, pp. 2713–2727, doi:10.5194/ nhess-16-2713-2016.
  • 2. De Dominicis, M., Pinardi, N., Zodiatis, G. & Archetti, R. (2013a) MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations. Geoscientific Model Development 6, pp. 1871–1888, doi:10.5194/gmd-6-1871-2013.
  • 3. De Dominicis, M., Pinardi, N., Zodiatis, G. & Lardner, R. (2013b) MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 1: Theory. Geoscientific Model Development 6, pp. 1851–1869, doi:10.5194/ gmd-6-1851-2013.
  • 4. Gan, S.W., Xu, J.Y. & Zhang, L.L. (2010) Inland ships carrying dangerous chemicals emergency information system development of. Ship and Ocean Engineering (04), pp. 108–109.
  • 5. Gwiazda, T.D. (2006) Genetic algorithms reference. Volume I. Crossover for single-objective numerical optimization problems. Łomianki, Poland: tomaszgwiazda e-books.
  • 6. Liu, T.M. (2004) Construction of emergency system for major accidents. Labor protection (04), pp. 6–10.
  • 7. Liu, X.H. (2014) Research on intelligent emergency decision support model for sudden geological disasters based on plan. China University of Geosciences.
  • 8. McEntire, D.A. (2003) Searching for a holistic paradigm and policy guide: a proposal for the future of emergency management. International Journal of Emergency Management 1 (3), pp. 298–308.
  • 9. Montewka, J., Ehlers, S., Goerlandt, F., Hinz, T., Tabri, K. & Kujala, P. (2014) A framework for risk assessment for maritime transportation systems – A case study for open sea collisions involving RoPax vessels. Reliability Engineering & System Safety 124, pp. 142–157.
  • 10. Pettersen, S.S. & Asbjørnslett, B.E. (2016) Designing resilient fleets for maritime emergency response operations. Euroma Conference.
  • 11. Pietrzykowski, P., Borkowski, P. & Wołejsza, P. (2012) NAVDEC – navigational decision support system on a sea-going vessel. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie 30 (102), pp. 102–108.
  • 12. Prabhu Gaonkar, R.S., Xie, M., Ng, K.M. & Habibullah, M.S. (2011) Subjective operational reliability assessment of maritime transportation system. Expert Systems with Applications 38 (11), pp. 13835–13846.
  • 13. Tian, Z., Liu, F.S., Li, Z.X., Malekian, R. & Xie, Y.C. (2017) The Development of Key Technologies in Applications of Vessels Connected to the Internet. Symmetry 9, 10, p. 211.
  • 14. Turoff, M., Chumer, M., Van de Walle, B. & Yao, X. (2003) The Design of a Dynamic Emergency Response Management Information Systems (DERMIS). Journal of Information Technology Theory & Application (JITTA) 5 (4), pp. 1–36.
  • 15. Wang, J., Liu, C.Z. & Li, S.Y. (2011) Key technology of marine emergency command system. Water Transport Engineering 09, pp. 209–214.
  • 16. Zhang, J.F., Liu, Y.S., Mou, J.M., Dong, X.Z. & Wang, X.O. (2016) Reservoir water emergency rescue facility location model with multi-factor P-median. China Safety Science Journal 11, pp. 163–168.
  • 17. Zhang, L.M., Lin, Y.H., Yang, G.F. & Chang, H. (2011) Emergency resources scheduling based on adaptively mutate genetic algorithm. Computers in Human Behavior 27 (5), pp. 1493–1498.
  • 18. Zhao, X.L. (2005) Study on marine oil spill response plan. Dalian Maritime University.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-61f86d06-2386-48e8-9625-e339502b4f43
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