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强大的数字双胞胎空域离散和轨迹优化,用于自主无人机飞行器

Mo ElSayed¹, Moataz Mohamed²

¹Department of Civil Engineering, Faculty of Engineering, McMaster University, 1280 Main Street West, JHE Building, Room 301, Hamilton, ON, L8S 4L7, Canada. archmsayed@gmail.com.

Scientific reports

|May 31, 2024

概括

本研究介绍了智能城市自动驾驶无人机的先进空中移动 (AAM) 系统. AAM系统将空域容量提高10%,并优化无人机飞行路径,以提高50%的能源效率和安全性.

科学领域:

城市规划和物流.
自主系统和机器人技术
地理空间数据分析.

背景情况:

越来越多地将无人驾驶飞行器 (UAV) 集成到城市环境中,需要复杂的空域管理.
目前的城市空域管理缺乏动态能力来处理高密度的自主空中移动.

研究的目的:

提出一种新的先进空中移动 (AAM) 物流系统,用于管理高密度城市中心的异质无人机机队.
开发一个实时数字双胞胎创建和自主无人机操作的动态4D空域离散框架.

主要方法:

实时3D地理空间挖掘LiDAR数据以创建城市空域的动态数字双胞胎.
开发城市空域的4D分离化方法 (Skyroutes),集成实时约束,法规和动态最佳操作.
使用每小时一次旅行生成模型对1138次旅行进行模拟,以比较拟议的方法与卡特西安离谱化.

主要成果:

通过详细的3D生成,AAM系统可以精确估计城市空域容量和运营成本.
与传统方法相比,空域容量增加了高达10%.
生成的无人机轨迹显示,能源效率提高了50%,并提高了安全性.

结论:

拟议的AAM系统为在复杂的城市环境中管理自主无人机提供了强大的解决方案.
动态4D离散和数字双胞胎建模对于高效和安全的空中机动性至关重要.
该AAM系统显著改善了空域利用,能源效率和城市无人机操作的安全性.

关键词:

空中移动运行模型的运行模式自主无人机物流自主无人机物流数字双胞胎模型数字双胞胎模型无人机无人机无人机优化节能轨迹的优化节能轨迹优化具有弹性的运输基础设施.

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