一项关于预测喷气式飞机轨迹偏差在随机风的影响下下降点的研究
Hengyu Cheng1, Jinsong Zhu1,2, Sining Wang1
1School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221006, China.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
这项研究引入了一个新的系统和随机森林 (RF) 方法,可以准确地预测喷雾机喷射轨迹的落下点,即使有随机风干扰. 这些发现显著减少了预测错误,提高了灭火系统的可靠性.
科学领域:
- 消防安全工程 消防安全工程
- 流体动力学 流体动力学
- 机器学习 机器学习
背景情况:
- 随机的风能显著影响喷雾器系统的灭火准确性.
- 有限的研究存在于量化随机风对喷雾器喷气式飞机轨迹下降点的影响.
研究的目的:
- 开发一种新的随机风采集系统.
- 提出并验证一种基于随机森林 (RF) 的方法,用于在随机风条件下预测喷雾机喷射轨迹下降点.
- 将射频方法的性能与支持矢量机 (SVM) 模型进行比较.
主要方法:
- 建设一个新的随机风采集系统.
- 开发一种随机森林 (RF) 模型,用于预测喷气式飞行轨迹的落点.
- 与支持矢量机 (SVM) 预测模型进行比较分析.
主要成果:
- 射频方法减少了x方向的预测误差,从50米处的2.11米减少到1.53米.
- Y方向误差从0.64米减少到0.6米.
- 平均绝对误差 (MAE) 从31.3提高到23.5.5.
- 在不同的预测距离上证明了可行性.
结论:
- 拟议的系统和射频方法有效地减轻随机风对喷雾机喷射轨迹下降点的影响.
- 开发的方法比现有模型提供了显著的改进.
- 在灭火技术中广泛应用的潜力.
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