摘要
随着农业现代化进程的持续推进、集体农田种植模式的广泛普及以及农业生产需求的日益增长,单一农机已难以满足高效且低成本的作业要求。特别是在抢收抢种的关键农时阶段,多台农机协同作业的重要性愈发凸显。然而,当前研究面临的难点在于,如何在复杂多变的农田作业环境下,实现农机的合理任务分配与高效调度。本研究聚焦于集约化农田在抢收作业场景下的协同调度问题,构建了以最小化最大任务完成时间为优化目标的多农机协同作业数学模型,并提出了一种契合实际作业约束条件的两阶段启发式算法。实验结果表明,提出的算法能够在较短时间内给出质量较高的解决方案。相较于其他方法,该算法在不同规模的问题场景下均展现出更为优异的综合性能,为解决抢收作业场景下的农机调度难题提供了切实可行的方案。
With the continuous advancement of agricultural modernization,the widespread popularization of collective farmland planting models,and the increasing growth of agricultural production demands,a single agricultural machine can no longer meet the requirements for efficient and low-cost operations.Especially during the critical agricultural periods of emergency harvesting and sowing,the importance of collaborative operations involving multiple agricultural machines has become increasingly prominent.However,a major challenge in current research is how to achieve rational task allocation and efficient scheduling of agricultural machines in complex and variable farmland environments.This study focuses on collaborative scheduling in intensive farmlands under emergency harvesting scenarios.It constructs a mathematical model for multi-agricultural machinery collaboration,with the optimization objective of minimizing the maximum task completion time,and proposes a two-phase heuristic algorithm aligned with real operational constraints.Experimental results show that the proposed algorithm can provide high-quality solutions in a relatively short time.Compared with other methods,the proposed algorithm exhibits more excellent comprehensive performance in problem scenarios of different scales,providing a practical and feasible solution for addressing the challenges of agricultural machinery scheduling in emergency harvesting operations.
作者
胡明杨
张开
于坤杰
岳彩通
梁静
HU Mingyang;ZHANG Kai;YU Kunjie;YUE Caitong;LIANG Jing(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China;State Key Laboratory of Intelligent Agricultural Power Equipment,Luoyang 471039,China)
出处
《拖拉机与农用运输车》
2025年第5期15-19,共5页
Tractor & Farm Transporter
基金
智能农业动力装备全国重点实验室开放课题(SKLIAPE2024010)
国家自然科学基金(U23A20340)
河南省重点研发专项项目(251111113900)。
关键词
多农机协同调度
抢收调度优化
两阶段启发式算法
Multiple agricultural machinery collaborative scheduling
Emergency harvesting scheduling optimization
Two-stage heuristic algorithm
