通过其技术,操作和精神声学参数预测电动无人机噪音引起的感知烦
Ronja König1,2, Laura Babetto2, André Gerlach1
1Corporate Research, Robert Bosch GmbH, Robert-Bosch-Campus 1, 71272 Renningen, Germany.
The Journal of the Acoustical Society of America
|September 24, 2024
概括
减少无人机噪音的烦是可以通过降低大声,清晰度和音调来实现的. 叶片尖速度减少20%可以保持无人机的性能,同时显著降低噪音干扰.
科学领域:
- 声学 声学 在声学方面
- 空气动力学 航空动力学
- 人与计算机的交互
背景情况:
- 电动无人机越来越多地用于配送和监视.
- 无人机的噪音排放是令人烦的重要来源.
- 现有的研究缺乏对无人机噪音烦因素的全面分析.
研究的目的:
- 为了调查和量化无人机噪音的烦.
- 确定影响无人机噪声感知的关键因素.
- 评估声学优化策略的有效性.
主要方法:
- 从悬浮测试台和室内飞行实验创建了一个声音数据库.
- 在578名参与者中进行了一项全球数字用户研究,以评估烦.
- 分析了烦,精神声学指标和技术/操作参数之间的相关性.
- 使用概念设计工具量化声学优化效果.
主要成果:
- 降低噪音,清晰度,色调和波动强度改善了烦.
- 心理声学度量的重要性因无人机模型而异;社会文化因素没有影响.
- 技术和操作参数,特别是叶片尖的速度,受影响的烦.
- 20%的尖端速度降低显示了降低烦的潜力与可接受的性能.
结论:
- 心理声学指标有效评估无人机声学设计解决方案.
- 优化无人机声学,特别是尖端速度,可以减轻噪音的烦.
- 建议进行多学科优化,以平衡效率和降噪.
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