一个综合的多标准决策模型,用于无人机在灾害管理中的长期规划
Mustafa Erdem Bakir1, Fatih Kasimoglu2
1Department of Unmanned and Autonomous System Engineering, Graduate School of Natural and Applied Sciences, University of Turkish Aeronautical Association, Ankara, Turkey.
PloS one
|January 6, 2026
概括
本研究介绍了一种综合决策模型,用于优化无人机基地位置和灾难管理中的任务计划,提高成本和距离效率.
科学领域:
- 运营研究 运营研究
- 灾害管理 灾害管理
- 机器人技术 机器人技术 机器人技术
背景情况:
- 无人驾驶飞行器 (UAV) 在灾难管理中对搜索,救援和监视至关重要.
- 无人机的最佳基地和部署规划对于长期有效性至关重要.
研究的目的:
- 开发一个综合的多标准决策模型,用于无人机基地选择和任务规划.
- 通过最大限度地减少基地,飞行距离,不可飞行的天和成本来优化无人机操作.
主要方法:
- 使用了多属性和多目标优化技术的组合.
- 制定了一个目标编程模型,以共同最小化关键操作参数.
- 使用分析层次过程 (AHP) 确定目标重量.
- 开发了算法1和2用于目标设定和解决方案改进.
主要成果:
- 在各种场景中,在成本 (高达14.8%) 和距离 (高达8.57%) 上显著改善.
- 验证了该模型在土耳其的真实地震场景中的实际适用性.
- 为长期无人机基地和作战规划取得了令人满意的解决方案.
结论:
- 拟议的决策模式为优化灾难管理中的无人机操作提供了有效的框架.
- 综合方法平衡了多个目标,以实现高效和成本效益的无人机部署.
- 该模型为通过战略性无人机利用来增强灾难应对能力提供了实际的好处.
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