一种改进的灭火救援路径规划理论与实现  

An improved fire rescue path planning theory and its implementation

作　　者：段明义 卢印举 李祖照 DUAN Ming-yi;LU Yin-ju;LI Zu-zhao(College of Information and Engineering,Zhengzhou Institute of Technology,Henan Zhengzhou 450044,China;Guangxi Transportation Research&Consulting Co.,Ltd.,Guangxi Nanning 530007,China)

机构地区：[1]郑州工程技术学院信息工程学院,河南郑州450044 [2]广西交通科学研究院有限公司,广西南宁530007

出　　处：《消防科学与技术》2020年第3期398-400,共3页Fire Science and Technology

基　　金：河南省科技攻关计划项目(192102210120)。

摘　　要：对经典的最短路径算法进行分析,结合人工智能领域的启发式搜索,给出一个基于启发式的最短路径算法。对该算法从代价函数和排序方法方面提出了改进策略。仿真实验数据表明,该方法优于经典的最短路径算法,能够有效地缩短路径查找时间,从而提高灭火救援的效率。This paper analyzes the classical shortest path algorithm and combines heuristic search in the field of artificial intelligence to produce a heuristic based shortest path algorithm.An improvement strategy is proposed for the algorithm from the points of cost function and ordering method.The simulation experiment data shows that this method is superior to the classical shortest path algorithm,which can effectively shorten the path search time and improve the efficiency of fire rescue.

关 键 词：启发式函数 路径搜索 堆排序 灭火救援 

分 类 号：X921[环境科学与工程—安全科学] TU998.1[建筑科学—市政工程]