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A real-time acoustic signature-based fluid identification methodology for applications in the field of security and defence

机译:基于实时声学签名的流体识别方法,用于安全和防御领域

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摘要

Acoustic-based inspection methods, employed for on field screening of containers, hold high importance in the fields of security and defense. However, such methods are limited by expensive instrumentation, offline analysis and complexities related to transducer container physical coupling. Simple, non-destructive and extremely cost effective method based on acoustic resonance has been devised here for rapid online acquisition and analysis of acoustic signatures of fluids for their necessary identification and classification. The research, with two stages of experimentation, establishes reliability of the system in the first stage by using sweep excitation in fluids followed by acquiring acoustic signatures for such fluids in the second stage by using white noise for excitation. The setup uses two ceramic coated piezoelectric transducers interfaced with the computer through audio ports. Excellent consistency in the results, recorded with the help of a virtual spectrum analyzer, is achieved with average error amounting to 1.4%.
机译:在集装箱的现场检查中使用的基于声学的检查方法在安全和防御领域中具有高度重要性。但是,这种方法受到昂贵的仪器,离线分析以及与换能器容器物理耦合有关的复杂性的限制。在此,已经设计了一种基于声学共振的简单,无损且极具成本效益的方法,用于快速在线获取和分析流体的声学特征,以进行必要的识别和分类。这项研究分两个阶段进行,通过在流体中使用扫频激发,然后在第二阶段中使用白噪声激发来获取此类流体的声学特征,从而建立了系统的可靠性。该设置使用两个通过音频端口与计算机连接的陶瓷涂层压电换能器。在虚拟频谱分析仪的帮助下记录的结果具有极好的一致性,平均误差为1.4%。

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