In the research, the Nuclide Identification and Quantitative Analysis System (NIQAS) for the identification of hazardous goods was designed and optimized by MCNP simulations. With the D-T neutron generator and HPGe detector set as the core of device, the modules, including reflector, moderator and shielding, etc., were optimized by a Signal-to-Noise Ratio (SNR) evaluation method. Moreover, the NIQAS device was set up for measuring the hazardous goods, and the type identification was discussed based on the established logical decision. Finally, a Graphical User Interface (GUI) was designed and the minimum detection time was further investigated.

中文翻译：

---

基于PGNAA技术的NIQAS危险品识别装置研究

在研究中，通过MCNP模拟设计和优化了用于识别危险品的核素识别和定量分析系统（NIQAS）。以DT中子发生器和HPGe探测器为装置核心，采用信噪比(SNR)评估方法对反射器、减速器和屏蔽等模块进行优化。此外，还设置了NIQAS装置来测量危险品，并根据既定的逻辑决策讨论了类型识别。最后，设计了图形用户界面（GUI）并进一步研究了最小检测时间。