锌锭智能搬运AGV路径规划技术研究与仿真应用  

Research and Simulation Application of AGV Path Planning Technology for Intelligent Handling of Zinc Ingots

作　　者：世家伟 郝二丽 王勇 杨支海 叶春香 SHI Jia-wei;HAO Er-li;WANG Yong;YANG Zhi-hai;YE Chun-xiang(Yunnan Chihong Zinc Germanium Co.,Ltd.Chihong Technology Engineering Branch,Qujing,Yunnan 655011;Yunnan Chihong Resource Comprehensive Utilization Co.,Ltd.,655011 Qujing,Yunnan;Yunnan Chihong Zinc Germanium Co.,Ltd.Huize Smelting Branch Yunnan Huize 654200)

机构地区：[1]云南驰宏锌锗股份有限公司驰宏科技工程分公司,云南曲靖655011 [2]云南驰宏资源综合利用有限公司,云南曲靖655011 [3]云南驰宏锌锗股份公司会泽冶炼分公司,云南会泽654200

出　　处：《世界有色金属》2023年第14期16-19,共4页World Nonferrous Metals

基　　金：工信部智能制造新模式应用“新型稀土铝锌合金智能生产系统及示范应用”。

摘　　要：本文以北矿机电科技有限责任公司研制的锌锭智能搬运AGV为研究对象,对路径规划技术进行了研究与仿真应用。首先基于格栅法结合现场工作环境进行建模,然后提出了一种基于改进蚁群算法的路径规划方法,并进行了仿真验证。结果表明:该方法在AGV路径规划领域有着更高的搜索效率,能显著提升收敛速度。该方法在工程实践领域具有广阔的应用前景。In this paper,the AGV for intelligent handling of zinc ingots developed by BGRIMM Machinery&Automation Technology Co.,Ltd.is taken as the research object,and the path planning technology is studied and simulated.Firstly,the grid method is combined with the field work environment for modeling,and then a path planning method based on the improved ant colony algorithm is proposed and verified by simulation.The results show that this method has higher search efficiency in the field of AGV path planning and can significantly improve the convergence speed.This method has broad application prospects in the field of engineering practice.

关 键 词：AGV 遗传算法 路径规划 铅锌冶炼 

分 类 号：TF35[冶金工程—冶金机械及自动化]