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基于智能导航的舰船应急疏散路径自动定位方法
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  • 英文篇名:Automatic location method of emergency evacuation route for warship based on intelligent navigation
  • 作者:程英霞 ; 林晗
  • 英文作者:CHENG Ying-xia;LIN Han;Yantai Vocational College;
  • 关键词:智能 ; 导航 ; 路径 ; 定位
  • 英文关键词:intelligence;;navigation;;path;;location
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:烟台职业学院;
  • 出版日期:2019-07-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 语种:中文;
  • 页:JCKX201914023
  • 页数:3
  • CN:14
  • ISSN:11-1885/U
  • 分类号:68-70
摘要
传统船舶应急疏散路径导航系统存在船舶逃生路径数据定位准确度差,应急疏散导航响应时间慢,影响人员快速逃生撤离时间。针对此问题产生根源进行深入分析,并提出基于智能导航的舰船应急疏散路径自动定位方法。对传统定位策略进行替换修正,首先导入雷达导航数据融合策略。融合船舶激光雷达数据与GPS、北斗卫星定位信号数据。接着引入路径实时定位算法,通过算法对融合数据进行实时规划引导,完成人员快速撤离。最后,通过仿真实验对传统方法与提出方法进行对比测试,证明提出方法具有定位速度快、响应速度快、路径规划准确的特点。
        The traditional navigation system of ship emergency evacuation path has the disadvantages of poor positioning accuracy of ship escape path data, slow response time of emergency evacuation navigation, which affects the rapid evacuation time of personnel. Aiming at the root cause of this problem, this paper makes an in-depth analysis, and puts forward an automatic location method of emergency evacuation path based on Intelligent navigation. The traditional positioning strategy is replaced and amended. First, the radar navigation data fusion strategy is introduced. Fusion of ship lidar data with GPS and Beidou satellite positioning signal data. Then, a real-time path location algorithm is introduced to guide the realtime planning of the fusion data through the algorithm, so as to complete the rapid evacuation of personnel. Finally, the traditional method and the proposed method are tested by simulation experiments, which proves that the proposed method has the characteristics of fast positioning, fast response and accurate path planning.
引文
[1]韩君.基于人工势场法的船舶自动导航算法设计[J].舰船科学技术,2018,40(3A):91-93.
    [2]罗凯,岳晨.基于地理信息系统的舰船智能导航研究[J].舰船科学技术,2018,40(11A):65-67.
    [3]吴凤媛.智能网络下船舶海上应急物流路径规划方法[J].舰船科学技术,2018,40(11A):176-178.
    [4]马建敏,李晶,雷福宝.基于遗传算法的大型舰船紧急疏散路径规划[J].舰船科学技术,2018,40(5A):65-67.

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