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多农机全过程路径规划应用研究

张过 赖惠成 杜浩浩

软件导刊2025,Vol.24Issue(7):29-37,9.
软件导刊2025,Vol.24Issue(7):29-37,9.DOI:10.11907/rjdk.241429

多农机全过程路径规划应用研究

Application Research on Whole Process Path Planning of Muti-agricultural Machinery

张过 1赖惠成 1杜浩浩1

作者信息

  • 1. 新疆大学 计算机科学与技术学院,新疆 乌鲁木齐 830046
  • 折叠

摘要

Abstract

In smart agriculture,the scheduling and path planning of agricultural machinery are key technologies.However,currently,multi-ple autonomous agricultural machines face issues such as uneven task scheduling,low operational efficiency,and lack of whole-process path planning during operation.Especially in Xinjiang,where individual farmland plots are large,and uneven scheduling of multiple agricultural machines can lead to overload.To address these issues,a whole-process planning algorithm for multi-machine operations is proposed.First,A load balancing allocation method based on K-means is designed,which uses a preheating mechanism to improve efficiency and a check-and-balance factor to ensure that the tasks of each agricultural machine are balanced.Secondly,a scheduling strategy based on hybrid taboo search algorithm is proposed,which incorporates inter-group transfer variation operator and unlocking strategies to avoid local optimums,and efficiently achieves fast scheduling of multiple tasks.Finally,the comprehensive coverage path planning algorithm is introduced to ensure full coverage of field operations.The simulation tests are performed on the constructed electronic map,and the results show that compared with the improved artificial bee colony algorithm,ant colony optimization algorithm and whale optimization algorithm,the proposed algorithm has im-proved performance by 9.15%,9.88%and 8.40%respectively when there are 3,4 and 5 agricultural machines in operation.Meanwhile,the balance of task allocation has been increased by 40.65%,81.12%and 79.47%respectively.Additionally,the effectiveness of the load balanc-ing allocation method and scheduling policy is verified.This algorithm has good application value in achieving balanced scheduling of multi-machine operations while completing field operation paths in smart farms.

关键词

多农业机械/均衡分配/调度策略/路径规划

Key words

multi-agricultural machinery/balanced allocation/scheduling strategy/path planning

分类

信息技术与安全科学

引用本文复制引用

张过,赖惠成,杜浩浩..多农机全过程路径规划应用研究[J].软件导刊,2025,24(7):29-37,9.

基金项目

科技创新2030——"新一代人工智能"重大项目(2022ZD0115803) (2022ZD0115803)

软件导刊

1672-7800

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