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
田华亭 1冯仁宇 2吴奕龙 2周扬能1
作者信息
- 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
- 折叠
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.
Abstract
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-di-agnosis method to comprehensively evaluate the health of AGV,and finished single machine autonomous decision control ac-cording to health evaluation indicators.In addition,from the AGV/AMR system level,it was proposed that the idea of rap-id simulation deduction based on time and space,as well as the formation traffic strategy and diversified task allocation strat-egy 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Key words
AGV health/health evaluation indicators/fault self-diagnosis/traffic strategy/task optimization assign-ment引用本文复制引用
出版年
2024
NETL
NSTL
万方数据