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基于太赫兹技术在线快速识别邮件隐匿危险品

Rapid Online Identification of Hazardous Substances in Mail Using Terahertz Technology

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摘要

太赫兹的指纹谱特性和对非极性物质的穿透性使其在邮件隐匿危险品检测领域有巨大的应用潜力。目前,常用的太赫兹光学参数提取算法存在计算复杂、时间长和需要预知样品厚度等缺点。针对常规算法的缺点和邮件检测实时性高的要求,提出了一种根据太赫兹透射系数幅值直接计算特征吸收频率的方法。该方法只需要1次计算,节省了大量的计算时间。为了进一步提高处理速度,摒弃多次测量、均值滤波的数据处理方法,提出异常数据滤波结合低通滤波的数据处理方法,使数据测量1次完成。蔗糖和二苯甲酮样品的测试结果表明,所提方法与常规算法得到的特征吸收频率一致。

Abstract

The terahertz waves exhibit spectral fingerprint characteristics and penetrability for nonpolar substances, which have huge potential applications in the identification of hazardous substances hidden in mail. Currently, the commonly used terahertz optical-constant-extraction algorithms have the disadvantages of being complicated and requiring lengthy computations as well as samples with known thicknesses. In this study, we propose a method of directly calculating the characteristic absorption frequencies based on the amplitudes of the terahertz transmission coefficients to alleviate the shortcomings associated with the conventional algorithms and satisfy the rapid-processing requirement of real-time mail detection. The calculation procedure is considerably simplified by using the proposed method because the calculation only needs to be conducted once. To further improve the processing speed, we propose data processing methods that use abnormal data filtering and low-pass filtering instead of requiring multiple measurements and average filtering. Therefore, all the data measurements can be completed once. Furthermore, the characteristic absorption frequencies of the sucrose and benzophenone samples obtained using the proposed method are consistent with those obtained using the conventional method.

Newport宣传-MKS新实验室计划
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DOI:10.3788/LOP56.233001

所属栏目:光谱学

基金项目:国家重点研发计划;

收稿日期:2019-02-22

修改稿日期:2019-06-03

网络出版日期:2019-12-01

作者单位    点击查看

李涛:河北工业大学机械工程学院, 天津 300401
张良:河北工业大学机械工程学院, 天津 300401
何建安:深圳市检验检疫科学研究院, 广东 深圳 518010深圳国际旅行卫生保健中心, 广东 深圳 518033
张思祥:河北工业大学机械工程学院, 天津 300401
顾大勇:深圳市检验检疫科学研究院, 广东 深圳 518010深圳国际旅行卫生保健中心, 广东 深圳 518033

联系人作者:张思祥(13502063552@163.com); 顾大勇(wanhood@163.com);

备注:国家重点研发计划;

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引用该论文

Li Tao,Zhang Liang,He Jian''an,Zhang Sixiang,Gu Dayong. Rapid Online Identification of Hazardous Substances in Mail Using Terahertz Technology[J]. Laser & Optoelectronics Progress, 2019, 56(23): 233001

李涛,张良,何建安,张思祥,顾大勇. 基于太赫兹技术在线快速识别邮件隐匿危险品[J]. 激光与光电子学进展, 2019, 56(23): 233001

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