Suppr超能文献

表征无人机搭载的实时甲烷成像系统的性能。

Characterising the performance of a drone-mounted real-time methane imaging system.

作者信息

MacGruer Angus G, Johnson Steven D, Mekhail Simon P, Nutt Kyle J, Padgett Miles J, Gibson Graham M

机构信息

School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK.

Department of Physics, University of Strathclyde, Glasgow, G4 0NG, UK.

出版信息

Sci Rep. 2025 Mar 13;15(1):8787. doi: 10.1038/s41598-025-93186-z.

Abstract

We demonstrate a methane gas imaging system mounted to an unmanned aerial vehicle (UAV) that is shown to perform real-time detection at distances up to 10m whist airborne. Laser diodes that switch between on- and off- resonance with a methane absorption line are used to flood-illuminate a scene. The scene is imaged with an infrared InGaAs camera and the differential of the on-resonance and off-resonance back-scatter images are used to reveal the gas distribution. The performance of the system was characterised against a range of back-scatter surfaces, showing promising applicability to realistic gas sensing environments. We demonstrate that the system is capable of detecting a gas concentration of 5000 ppm.metre up to a range of 13.6m.

摘要

我们展示了一种安装在无人机(UAV)上的甲烷气体成像系统,该系统在飞行时能够在高达10米的距离进行实时检测。利用在甲烷吸收线的共振和非共振之间切换的激光二极管对场景进行泛光照明。用红外铟镓砷相机对场景成像,并利用共振和非共振后向散射图像的差异来揭示气体分布。该系统的性能针对一系列后向散射表面进行了表征,显示出在实际气体传感环境中的应用前景。我们证明该系统能够在高达13.6米的范围内检测到浓度为5000 ppm·米的气体。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验