首页> 外文会议>Optics and photonics for counterterrorism, crime fighting and defence IX; and Optical Materials and Biomaterials in Security and Defence Systems Technology X >Standoff detection of bioaerosols over wide area using a newly developed sensor combining a cloud mapper and a spectrometric LIF lidar
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Standoff detection of bioaerosols over wide area using a newly developed sensor combining a cloud mapper and a spectrometric LIF lidar

机译:使用新开发的结合了云测绘仪和光谱LIF激光雷达的传感器对大范围内的生物气溶胶进行隔离检测

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A standoff sensor called BioSense was developed to demonstrate the capacity to map, track and classify bioaerosol clouds from a distant range and over wide area. The concept of the system is based on a two steps dynamic surveillance: 1) cloud detection using an infrared (IR) scanning cloud mapper and 2) cloud classification based on a staring ultraviolet (UV) Laser Induced Fluorescence (LIF) interrogation. The system can be operated either in an automatic surveillance mode or using manual intervention. The automatic surveillance operation includes several steps: mission planning, sensor deployment, background monitoring, surveillance, cloud detection, classification and finally alarm generation based on the classification result. One of the main challenges is the classification step which relies on a spectrally resolved UV LIF signature library. The construction of this library relies currently on in-chamber releases of various materials that are simultaneously characterized with the standoff sensor and referenced with point sensors such as Aerodynamic Particle Sizer® (APS). The system was tested at three different locations in order to evaluate its capacity to operate in diverse types of surroundings and various environmental conditions. The system showed generally good performances even though the troubleshooting of the system was not completed before initiating the Test and Evaluation (T&E) process. The standoff system performances appeared to be highly dependent on the type of challenges, on the climatic conditions and on the period of day. The real-time results combined with the experience acquired during the 2012 T&E allowed to identify future ameliorations and investigation avenues.
机译:开发了一种名为BioSense的对峙传感器,以展示在远距离和广域范围内绘制,跟踪和分类生物气溶胶云的能力。该系统的概念基于两步动态监视:1)使用红外(IR)扫描云映射器进行云检测,以及2)基于凝视紫外线(UV)激光诱导荧光(LIF)询问的云分类。该系统可以在自动监视模式下进行操作,也可以使用手动干预进行操作。自动监视操作包括几个步骤:任务计划,传感器部署,后台监视,监视,云检测,分类,最后根据分类结果生成警报。主要挑战之一是分类步骤,该步骤依赖于光谱解析的UV LIF签名库。该库的构建当前依赖于各种材料在室内的释放,这些材料在对位传感器的同时进行特征化,并以诸如Aerodynamic ParticleSizer®(APS)之类的点传感器作为参考。该系统在三个不同的位置进行了测试,以评估其在各种类型的环境和各种环境条件下运行的能力。即使在启动测试和评估(T&E)流程之前尚未完成系统故障排除,该系统仍显示出良好的性能。僵持系统的性能似乎高度取决于挑战的类型,气候条件和时段。实时结果与2012年T&E期间获得的经验相结合,可以确定未来的改善和调查途径。

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