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基于船舶火灾蔓延态势的路径规划算法研究
引用本文:刘志强,孟顺,何家骏,季 建. 基于船舶火灾蔓延态势的路径规划算法研究[J]. 船舶工程, 2021, 43(2): 112-117
作者姓名:刘志强  孟顺  何家骏  季 建
作者单位:江苏科技大学 机械工程学院,江苏科技大学 机械工程学院,江苏科技大学 机械工程学院,浙江省海洋开发研究院
基金项目:2016年度镇江市重点研发计划(GY2016002);浙江省公益性项目(LGF18E090001)。
摘    要:船舶作为海上一个独立的建筑实体,非常容易发生火灾。本文以63500DWT油船船舱作为研究对象,通过对火灾蔓延模拟仿真实验数据进行图表分析,得出了在不同工作条件下在固定检测点位置的温度,CO浓度和烟气浓度变化规律。对基于火灾实时态势的导航网格动态生成方法以及对应的逃生路径规划方法进行研究,得出动态更新导航网格的具体算法,并对传统A*算法路径节点选择问题进行改进,得出适应船舱火灾蔓延信息的最短逃生路径规划算法,通过实验验证,该算法寻路效率更优。

关 键 词:火灾实时态势  逃生路径  A*算法  启发函数
收稿时间:2020-06-29
修稿时间:2021-03-28

Research on Path Planning Algorithm Based on Ship Fire Spreading Situation
LIU Zhiqiang,MENG Shun,HE Jiajun and JI Jian. Research on Path Planning Algorithm Based on Ship Fire Spreading Situation[J]. Ship Engineering, 2021, 43(2): 112-117
Authors:LIU Zhiqiang  MENG Shun  HE Jiajun  JI Jian
Affiliation:School of Mechanical Engineering,Jiangsu University of Science and Technology,Jiangsu Zhenjiang,School of Mechanical Engineering,Jiangsu University of Science and Technology,Jiangsu Zhenjiang,School of Mechanical Engineering,Jiangsu University of Science and Technology,Jiangsu Zhenjiang,Zhejiang Marine Development Research Institute,Zhejiang Zhoushan
Abstract:The ship is an independent construction entity at sea and is very prone to fire. This article takes the cabin of the 63500DWT oil tanker as the research object, through graphical analysis of the fire spread simulation experiment data, the law of temperature, CO concentration and smoke concentration change at a fixed detection point under different working conditions is obtained. Research on the navigation grid dynamic generation method based on the real-time fire situation and the corresponding escape route planning method, get the specific algorithm for dynamically updating the navigation grid, the traditional A* algorithm path node selection problem is improved, and the shortest escape path planning algorithm that adapts to the cabin fire spread information is obtained. Through experimental verification, the algorithm obtained has better path finding efficiency.
Keywords:Real-time fire situation   Escape route   A* algorithm   Heuristic function
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