面向铁路应急物资仓储的叉车式AGV路径规划研究  

Research on the path planning of forklift AGV for railway emergency material storage

作　　者：陈世君 孙梦飞 CHEN Shi-jun;SUN Meng-fei(GNN Energy Shuohuang Railway Development Co.,Ltd.,Cangzhou Hebei 062350,China)

机构地区：[1]国能朔黄铁路发展有限责任公司,河北沧州062350

出　　处：《林业机械与木工设备》2024年第4期79-82,87,共5页Forestry Machinery & Woodworking Equipment

摘　　要：针对当前智能化物资仓储环境中叉车式AGV路径最优规划问题,在对常见三种路径规划优化算法分析讨论的基础上,选择A算法作为面向智能化物资仓储环境的叉车式AGV路径规划方法,并采用曼哈顿距离模型作为启发函数,提高仓储环境下最优路径的搜索效率。结合某铁路物资仓库实际场景,构建真实地图并进行路径规划仿真实验,结果表明A算法在路径搜索速度和工作效率等方面均明显优于其余两种算法,能够更加有效地规划出较短的运行路径,为物资仓储环境下智能无人化仓库建设提供了技术参考。Aiming at the problem of optimal path planning for forklift AGV in the current intelligent material storage environment,based on the analysis and discussion of three common path planning optimization algorithms,this paper chooses the A algorithm as the path planning method of forklift AGV for intelligent material storage environment,and introduces Manhattan distance model as the heuristic function,so as to improve the search efficiency of optimal path in material storage environment.According to the actual scenario of railway material warehouse,a real map is constructed and the path planning simulation experiment is conducted.The results show that the A algorithm is obviously superior to the other two algorithms in terms of path search speed and work efficiency,and can find a shorter path more effectively,which provides a technical reference for the construction of intelligent unmanned warehouse in the material storage environment.

关 键 词：叉车式AGV 物资仓储 A算法 路径规划 

分 类 号：F530.33[经济管理—产业经济]