Research on Collision Warning Method for Ship-Bridge Based on Safety Potential Field

被引:0
|
作者
Fan, Cheng [1 ]
He, Xiongjun [1 ]
Huang, Liwen [2 ,3 ]
Li, Haoyu [2 ,3 ]
Wen, Teng [2 ,3 ]
机构
[1] Wuhan Univ Technol, Sch Transportat & Logist Engn, Wuhan 430063, Peoples R China
[2] Hubei Key Lab Inland Shipping Technol, Wuhan 430063, Peoples R China
[3] Wuhan Univ Technol, Sch Nav, Wuhan 430063, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 19期
基金
中国国家自然科学基金;
关键词
safety potential field; bridge area risk; early warning system; Kalman filter; RISK ANALYSIS;
D O I
10.3390/app14199089
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to ensure the safety of navigation in a bridge area, and based on the theory of the safety potential field, a method of ship safety assessment and early warning in an inland river bridge area is proposed. Firstly, the risk elements associated with ship collisions in a bridge area are classified. Secondly, these risks are quantified using the potential energy field, the boundary potential field and the behavioural field, and then the ship state under the influence of wind flow, predicted by the Kalman filter, is quantified using the kinetic energy field. Then, the above four potential energy fields are merged to obtain a superposition field, and the magnitude of the instantaneous risk in the bridge area is obtained based on its magnitude. Finally, the change of field strength values under different moments is used for early warning. The results of the simulation of a ship passing through the piers of the Baijusi Bridge show that the model can effectively quantify the risk of a ship-bridge collision in the inland bridge area and provide real-time warning of the risk of a ship-bridge collision in the bridge area, which is of great significance for improving the safety of the inland bridge area.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] DEVELOPMENT OF AUTONOMOUS COLLISION AVOIDANCE MODULE FOR SHIP SIMULATOR BASED ON ARTIFICIAL POTENTIAL FIELD METHOD
    基於人工勢場法發展操船模擬器之自主避碰模組
    Guo, J.-H. (jguo@ntu.edu.tw), 1600, Taiwan Society of Naval Architects and Marine Engineers (39):
  • [42] Safety assessment of ship-bridge system during sea transportation under complex sea states
    Ma, Xiaolong
    Xiong, Wen
    Fang, Yu
    Cai, C. S.
    OCEAN ENGINEERING, 2023, 286
  • [43] SAFETY ANALYSIS OF ANTI-SHIP-COLLISION FOR BRIDGE PIERS
    Zheng, D. W.
    Lei, J. Q.
    ENVIRONMENTAL VIBRATIONS: PREDICTION, MONITORING, MITIGATION AND EVALUATION, VOLS I AND II, 2009, : 926 - 931
  • [44] Research on Ship Collision Avoidance Method Based on Track Prediction
    Chen, Dejun
    Chen, Peng
    Wan, Xuechao
    2018 ASIA-PACIFIC CONFERENCE ON INTELLIGENT MEDICAL (APCIM) / 2018 7TH INTERNATIONAL CONFERENCE ON TRANSPORTATION AND TRAFFIC ENGINEERING (ICTTE 2018), 2018, : 229 - 233
  • [45] A New Risk-Based Early-Warning Method for Ship Collision Avoidance
    Chen, Yingfan
    Xie, Cheng
    Chen, Shuzhe
    Huang, Liwen
    IEEE ACCESS, 2021, 9 : 108236 - 108248
  • [46] Research on ship collision avoidance path planning based on modified potential field ant colony algorithm
    Gao, Pan
    Zhou, Li
    Zhao, Xu
    Shao, Bo
    OCEAN & COASTAL MANAGEMENT, 2023, 235
  • [47] Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions
    Cheng, Zhiyou
    Li, Yaling
    Wu, Bing
    JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
  • [48] An Adaptive Anti-Collision Warning Method for Commercial Vehicles Based on Collision Probability Field
    Ye, Wei
    Xu, Yueru
    Ye, Zhirui
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 1863 - 1874
  • [49] Multirate UKF Damage Identification Based on Computer Vision Monitoring of Ship-Bridge Collisions
    Guo, Jian
    Liang, Zejun
    Ma, Kaijiang
    Wu, Jiyi
    JOURNAL OF BRIDGE ENGINEERING, 2024, 29 (11)
  • [50] Experiment on impact and residual compressive strength of segment of composite ship-bridge anti-collision system at high temperatures
    Wang L.
    Ma W.
    Yin C.
    Liu W.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2020, 51 (08): : 2247 - 2255