Dynamic task allocation model for multi-machine cooperative operation in agricultural scheduling management system
农务调度管理系统中的多机协同作业动态任务分配模型

摘要

农务调度管理系统在现代农业生产中扮演着关键角色，尤其在多机协同作业场景下，任务分配的科学性直接影响作业效率与资源利用率。本文以动态任务分配为研究核心，构建适应环境变化与作业需求的模型，强调多机间的实时信息交互与智能调度。通过引入优化算法和反馈机制，模型能够在复杂农务条件下实现任务的动态调整与高效分配，提升整体作业协调性与农机作业效率，为农业智能化发展提供理论与实践支撑。

Abstract

The agricultural scheduling management system plays a pivotal role in modern farming operations, particularly in multi-machine collaborative scenarios where the scientific nature of task allocation directly impacts operational efficiency and resource utilization. This study focuses on dynamic task allocation as its core research focus, developing a model that adapts to environmental changes and operational demands while emphasizing real-time information exchange and intelligent scheduling among machines. By introducing optimization algorithms and feedback mechanisms, the model achieves dynamic task adjustments and efficient allocation under complex farming conditions, enhancing overall operational coordination and agricultural machinery efficiency. This provides theoretical and practical support for the intelligent development of agriculture.