Autonomous multi-species environmental gas sensing using drone-based Fourier-transform infrared spectroscopy.
Autonomous multi-species environmental gas sensing using drone-based Fourier-transform infrared spectroscopy.
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DOI：
10.1364/oe.27.009578
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发表时间：
2019-03
期刊：
影响因子：
3.8
通讯作者：
M. Rutkauskas;Martin Asenov;S. Ramamoorthy;D. Reid
中科院分区：
文献类型：
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作者：
M. Rutkauskas;Martin Asenov;S. Ramamoorthy;D. Reid
在环境监测、危险现场评估和设施检查等应用中，无人驾驶飞行器（uav）或无人机为机载气体传感提供了令人信服的新机会。为此目的对无人机进行仪器检测需要在传感器尺寸、重量、功率和性能之间进行权衡，这推动了轻型电化学和光电离探测器的采用。然而，这是以速度、选择性、灵敏度、准确性、分辨率和可追溯性为代价的。在这里，我们报告了与自主无人机的宽带傅里叶变换红外光谱仪的设计和集成，提供从3 - 11 μ m （3333 - 909 cm-1）的整个分子指纹区域的反振动光谱，并能够同时对多个物种进行快速，定量的空中调查，估计噪声限制性能为18 ppm（丙烷）。获得的气体浓度的贝叶斯插值被证明可以提供大约一米精度的点源定位和气体云的分布映射，并附带不确定性量化。
Unmanned aerial vehicles (UAVs)-or drones-present compelling new opportunities for airborne gas sensing in applications such as environmental monitoring, hazardous scene assessment, and facilities' inspection. Instrumenting a UAV for this purpose encounters trade-offs between sensor size, weight, power, and performance, which drives the adoption of lightweight electrochemical and photo-ionisation detectors. However, this occurs at the expense of speed, selectivity, sensitivity, accuracy, resolution, and traceability. Here, we report on the design and integration of a broadband Fourier-transform infrared spectrometer with an autonomous UAV, providing ro-vibrational spectroscopy throughout the molecular fingerprint region from 3 - 11 µm (3333 - 909 cm-1) and enabling rapid, quantitative aerial surveys of multiple species simultaneously with an estimated noise-limited performance of 18 ppm (propane). Bayesian interpolation of the acquired gas concentrations is shown to provide both localization of a point source with approximately one meter accuracy, and distribution mapping of a gas cloud, with accompanying uncertainty quantification.