工业移动机器人智能化发展趋势研究  

Research on Intelligent Development Trend of Industrial Mobile Robots

作　　者：田华亭 冯仁宇 吴奕龙 周扬能 TIAN Huating;FENG Renyu;WU Yilong;ZHOU Yangneng(Yunnan KSEC Intelligent Equipment Co.,Ltd.,Kunming 650500,China;Shanghai Tobacco Group Co.,Ltd.,Shanghai 200082,China)

机构地区：[1]云南昆船智能装备有限公司,云南昆明650500 [2]上海烟草集团有限责任公司,上海200082

出　　处：《新技术新工艺》2024年第7期1-5,共5页New Technology & New Process

摘　　要：针对工业移动机器人(AGV/AMR)智能化发展方向,提出了AGV/AMR健康度评价,涉及AGV重要部件、运行负荷、运行精度等多个方面,以此为依据,提出了结合大数据分析综合评估AGV健康度的自诊断方法,并依据健康度评价结果进行单机自主决策控制;另外,从AGV/AMR系统层面,提出了基于时空的快速仿真推演思路以及基于时空快速仿真推演的编队通行交通策略、多元化任务分配策略。Aimed at the intelligent development direction of industrial mobile robots(AGV/AMR),it was proposed that an AGV/AMR health evaluation indicators,which involved many aspects such as AGV important components,operating loads,operating accuracy and so on.Based on the above,we combined with big data analysis,it was proposed that a self-diagnosis method to comprehensively evaluate the health of AGV,and finished single machine autonomous decision control according to health evaluation indicators.In addition,from the AGV/AMR system level,it was proposed that the idea of rapid simulation deduction based on time and space,as well as the formation traffic strategy and diversified task allocation strategy based on rapid simulation deduction of time and space.

关 键 词：AGV健康度 健康度评价 故障自诊断 交通策略 任务优化分配 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]