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Standoff detection: classification of biological aerosols using laser induced fluorescence (LIF) technique

机译:隔离检测:使用激光诱导荧光(LIF)技术对生物气溶胶进行分类

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The challenges of detecting hazardous biological materials are manifold: Such material has to be discriminated from other substances in various natural surroundings. The detection sensitivity should be extremely high. As living material may reproduce itself, already one single bacterium may represent a high risk. Of course, identification should be quite fast with a low false alarm rate. Up to now, there is no single technique to solve this problem. Point sensors may collect material and identify it, but the problems of fast identification and especially of appropriate positioning of local collectors are sophisticated. On the other hand, laser based standoff detection may instantaneously provide the information of some accidental spillage of material by detecting the generated thin cloud. LIF technique may classify but hardly identify the substance. A solution can be the use of LIF technique in a first step to collect primary data and - if necessary- followed by utilizing these data for an optimized positioning of point sensors. We perform studies on an open air laser test range at distances between 20 and 135 m applying LIF technique to detect and classify aerosols. In order to employ LIF capability, we use a laser source emitting two wavelengths alternatively, 280 and 355 nm, respectively. Moreover, the time dependence of fluorescence spectra is recorded by a gated intensified CCD camera. Signal processing is performed by dedicated software for spectral pattern recognition. The direct comparison of all results leads to a basic classification of the various compounds.
机译:检测有害生物材料的挑战是多方面的:必须将这些材料与各种自然环境中的其他物质区分开。检测灵敏度应极高。由于生物材料可以自我繁殖,因此已经有一种细菌可能构成高风险。当然,识别应相当快且误报率低。到目前为止,还没有一种技术可以解决此问题。点传感器可以收集材料并对其进行识别,但是快速识别的问题尤其是本地收集器的适当放置的问题非常复杂。另一方面,基于激光的距离检测可以通过检测生成的薄云,立即提供一些材料意外溢出的信息。 LIF技术可以对物质进行分类,但很难识别。解决方案可以是在第一步中使用LIF技术来收集主要数据,如果需要,可以使用这些数据来优化点传感器的位置。我们使用LIF技术对气溶胶进行检测和分类,在距离20至135 m的露天激光测试范围上进行研究。为了利用LIF功能,我们使用交替发射两个波长(分别为280和355 nm)的激光源。而且,荧光光谱的时间依赖性通过门控增强CCD相机记录。信号处理由专用软件执行,用于频谱模式识别。所有结果的直接比较导致各种化合物的基本分类。

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