基于多目标优化,为山上果园设计防烟机系统
Yue Lu1, Wenbin Zhang2, Yong Lin3
1Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China.
Scientific reports
|November 19, 2025
概括
这项研究介绍了使用Hippo优化算法 (HOA) 和k-最小横跨树 (k-MST) 的果园优化防系统. 这种新方法显著减少了烟雾机的使用量和电线长度,提供了具有成本效益的农业防保护.
科学领域:
- 农业工程 农业工程
- 优化算法 优化算法
- 园艺园艺 园艺园艺
背景情况:
- 春晚的寒冷破坏了水果树的开花,造成了果园的经济损失.
- 现有的防方法可能是低效和昂贵的.
研究的目的:
- 为果园开发一个优化的,具有成本效益的结防护系统.
- 为了减少防所需的烟雾机和电线长度的数量.
主要方法:
- 开发了一个绿色的太阳能防保护方案.
- 使用Hippo优化算法 (HOA) 优化了烟雾机器的放置.
- 使用k-最小跨度树 (k-MST) 模型和混合整数线性编程 (MILP) 的优化布线布局.
主要成果:
- 与传统方法相比,烟雾机的数量最大减少了55.55%.
- 在电线长度上,保证节省高达44.16%的费用.
- 证明了农业防保护的成本有效策略.
结论:
- 提出的基于HOA和k-MST的优化显著提高了果园的防效率.
- 这种综合方法可以大幅降低设备和基础设施成本.
- 提供了一个可行的,经济的解决方案,以减轻农业的伤损害.
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