河南理工大学学报（自然科学版）2025，Vol.44Issue(4)：74-82,9.DOI:10.16186/j.cnki.1673-9787.2024070019
面向智能AGV调度系统的软件自适应机制研究
Study on software self-adaptive mechanism for intelligent AGV scheduling system
摘要
Abstract
Objectives Traditional AGV scheduling systems were found to struggle with adapting to dynamic changes in user needs and environments in practical applications,exhibiting issues such as slow demand response and rigid scheduling strategies.Methods Integrating a multi-level design structure of"user+soft-ware+hardware",a software adaptive mechanism for intelligent AGV scheduling systems was proposed,.Based on the adaptive theory of"data perception,design decision-making,and execution feedback",mul-tiple aspects,including task scheduling,path planning,traffic control,battery management,and commu-nication management,were comprehensively considered within the software adaptive system.The system's response speed and scheduling efficiency were improved from a global perspective to enable real-time per-ception and dynamic adjustment to changes in AGV task demands and environments.Firstly,rapid import technology was used to capture user needs,which were then converted into recognizable raw data for the system based on rule mapping.Secondly,by matching with a preset scheduling strategy pool,relevant pa-rameters of key influencing factors were identified to select the most suitable working mode for executing AGV tasks in the current scenario.Additionally,the adaptive mechanism continuously optimized the sched-uling strategy pool based on real-time feedback from execution results,adapting to new demands and envi-ronmental changes.Results The experimental results indicated that the speed of collecting and applying user needs was significantly improved.The response time was no longer than 300 ms.After using the adap-tive mechanism design framework,the overall operational efficiency of AGVs was increased by 36%.Con-clusions The software adaptive mechanism significantly enhanced the response speed,scheduling effi-ciency,and data accuracy of AGVs.It effectively adapted to complex work demands in specific working scenarios.The system flexibility and adaptability were improved.关键词
自适应机制/智能AGV/调度系统/环境感知/动态调整Key words
adaptive mechanism/intelligent AGV/dispatching system/environmental perception/dynamic tuning分类
计算机与自动化引用本文复制引用
郑婷婷,王东,刘伟静,徐文丽,党兴,王俊德..面向智能AGV调度系统的软件自适应机制研究[J].河南理工大学学报（自然科学版）,2025,44(4):74-82,9.基金项目
天津市科技计划项目(22JCYBJC01740) （22JCYBJC01740）
天津市自然科学基金资助项目(S23DYYB9012) （S23DYYB9012）
中央军委装备发展部慧眼行动计划项目(5056D582) （5056D582）
