Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

被引:2
|
作者
Zhou, Chunhui [1 ,2 ,4 ,5 ]
Qin, Shixin [1 ]
Zhong, Jiahao [1 ,3 ]
Du, Lei [1 ,2 ]
Zhang, Fan [1 ,2 ]
机构
[1] Wuhan Univ Technol, Sch Nav, Wuhan, Peoples R China
[2] Hubei Key Lab Inland Shipping Technol, Wuhan, Peoples R China
[3] CSSC Jiujiang Marine Equipment Grp Co Ltd, Jiujiang, Peoples R China
[4] China Lab Transport Pollut Control & Monitoring Te, Beijing, Peoples R China
[5] State Key Lab Maritime Technol & Safety, Wuhan, Peoples R China
关键词
Ship fire; Emergency response; Petri net; Markov chain; CAPABILITY;
D O I
10.1016/j.oceaneng.2024.117089
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The effectiveness of external emergency response to ship fires is critical in minimizing the serious consequences of ship fires. However, the insufficient consideration of the dynamic evolution of the emergency response may result in an inaccurate assessment of the effectiveness of ship fire emergency response. Therefore, we employ the theories of hierarchical timed colored Petri net (HTCPN) and Markov chains to evaluate the emergency response process to ship fire, and guide how to further improve emergency response capabilities. Firstly, the ship fire emergency response process is analyzed with ship fire emergency plans and accident cases. Next, the theory of Hierarchical Timed Colored Petri Net is adopted to model the ship fire emergency response process. Then, we calculated the performance metrics of the HTCPN model for ship fires using Markov chains, to identify the key nodes of this emergency response process. Several simulation experiments based on a fire accident data of "LONG QING 1 '' are conducted to demonstrate the feasibility of this proposed method. The key nodes of this emergency response process are identified as "emergency resource transportation", "firefighting operations", "surface search and rescue", and "developing emergency disposal plans". Some targeted suggestions for optimizing the emergency response process were put forward.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] MARKOV CHAIN MODELING AND ANALYSIS OF COMPLICATED PHENOMENA IN COUPLED CHAOTIC OSCILLATORS
    Nishio, Yoshifumi
    Komatsu, Yuta
    Uwate, Yoko
    Hasler, Martin
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2010, 19 (04) : 801 - 818
  • [42] Modeling and shock response analysis of rotating propulsion shafting of ship
    Ji, C.-L. (theone900909@gmail.com), 1600, China Ship Scientific Research Center (17):
  • [43] Fire Incident Emergency Response Plan using Hybrid Fuzzy Dijkstra
    Rahayuda, Gede Surya
    Santiari, Ni Putu Linda
    2019 1ST INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2019, : 40 - 44
  • [44] Modeling and analysis for cross-organizational emergency response systems using Petri nets
    Zeng, Q.-T. (qtzeng@163.com), 1600, Science Press (36):
  • [45] Efficient Smart Emergency Response System for Fire Hazards using IoT
    Maguluri, Lakshmana Phaneendra
    Srinivasarao, Tumma
    Ragupathy, R.
    Syamala, Maganti
    Nalini, N. J.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (01) : 314 - 320
  • [46] Emergency Response Workflow Resource Requirements Modeling and Analysis
    Wang, Jiacun
    Tepfenhart, William
    Rosca, Daniela
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2009, 39 (03): : 270 - 283
  • [47] Using Hidden Markov Modeling for Biogeographical Ancestry Analysis
    Currie, Melvin R.
    JOURNAL OF HUMANISTIC MATHEMATICS, 2019, 9 (02):
  • [48] Modeling animals' behavioral response by Markov chain models for capture-recapture experiments
    Yang, HC
    Chao, A
    BIOMETRICS, 2005, 61 (04) : 1010 - 1017
  • [49] Hazmat Dispersion Modeling in Support of Urban Emergency Response for the Fire Brigade in Hamburg, Germany
    Berbekar, E.
    Harms, F.
    Leitl, B.
    Boris, J.
    Moses, A.
    Obenschain, K.
    Patnaik, G.
    Fischer, S.
    Storm, K.
    2016 IEEE SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST), 2016,
  • [50] Data Analysis Recipes: Using Markov Chain Monte Carlo
    Hogg, David W.
    Foreman-Mackey, Daniel
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2018, 236 (01):